iVOD / 154864

Field Value
影片長度 1863
gazette.lineno 30
gazette.blocks[0][0] 張委員啓楷:(9時1分)謝謝院長,請卓院長。
gazette.blocks[1][0] 主席:麻煩請卓院長備詢。
gazette.blocks[2][0] 卓院長榮泰:張委員好。
gazette.blocks[3][0] 張委員啓楷:卓院長早安,我們今天來談經濟跟民生。
gazette.blocks[4][0] 卓院長榮泰:是。
gazette.blocks[5][0] 張委員啓楷:希望不要漲電價,不要吃到進口的壞蛋。今天大概有很多記者都在問你,前兩個月(6月到8月)的電費高達將近兩萬度對不對?用了人民的納稅錢15萬,為什麼用這麼多呢?
gazette.blocks[6][0] 卓院長榮泰:跟委員報告,因為520之後還有一段整修的時間,我一直到6月中旬之後才陸續在官邸開一些跟部長的會議,我個人到6月底或7月初,詳細的日子我也忘記了,在6月底或7月初,我每個禮拜會使用兩天,但是只有我一個人,我的家人都沒有在官邸,所以這個用電的異常,我也覺得怪怪的,所以我們會請電力單位來做一些用電的檢查,同時我認為我還是要跟國人一樣,我們都要節約用電,我非常謝謝委員這樣的提醒。
gazette.blocks[7][0] 張委員啓楷:部長,你平常在官邸的時間應該沒那麼多啊!
gazette.blocks[8][0] 卓院長榮泰:沒有、沒有。
gazette.blocks[9][0] 張委員啓楷:像前陣子嘉義發生風災,我們就去嘉義東石勘災、上阿里山勘災……
gazette.blocks[10][0] 卓院長榮泰:是。
gazette.blocks[11][0] 張委員啓楷:現在這就是一個大問題了,你平常在官邸的時間那麼短,這個問題很嚴重,因為我對比了上一任陳建仁院長同樣時間的電費,人家少了你50%,你兩個月用了兩萬度,用了人民的納稅錢15萬,這是一個很重要的對比,所以現在有兩個問題要解決。第一個,院長,你用的是人民的納稅錢,對不對?
gazette.blocks[12][0] 卓院長榮泰:是。
gazette.blocks[13][0] 張委員啓楷:第二個可能更嚴重喔,你不是講要節能省電嗎?你的電怎麼會兩個月用到兩萬度?有人在開玩笑,你在裡面挖礦嗎?挖比特幣嗎?現在臺灣除了詐騙機房之外,一個官邸要用到這麼多的電嗎?
gazette.blocks[14][0] 卓院長榮泰:委員應該清楚,官邸不是我一個人在使用,有很多的安全維護人員,當我在大院在備詢的時候或是在外面,還是有安全維護人員在官邸裡面使用……
gazette.blocks[15][0] 張委員啓楷:所以我才會用這樣的對比,院長,所以我才會拿陳建仁院長、同樣是院長的官邸去做對比,同樣的時間點,你多出人家50%,這個趕快去改,好不好?你剛剛講你要去查,對不對?
gazette.blocks[16][0] 卓院長榮泰:對,要查。
gazette.blocks[17][0] 張委員啓楷:更重要的,這樣人民觀感就會很不好……
gazette.blocks[18][0] 卓院長榮泰:我們一定要查出來。
gazette.blocks[19][0] 張委員啓楷:所以要怎麼把這個電節省下來,好不好?
gazette.blocks[20][0] 卓院長榮泰:是。
gazette.blocks[21][0] 張委員啓楷:你要趕快去做這件事情。
gazette.blocks[22][0] 卓院長榮泰:4月到6月我使用的時間非常短,它也增加了3,700度左右;6月到8月,我有使用比較多一點,它增加了3,900度,我覺得這個數字都非常的異常。
gazette.blocks[23][0] 張委員啓楷:其實不是只有行政院院長的官邸出問題而已,給你看一下,你知道今年中央部會一共花了多少人民的納稅錢幫你們付電費嗎?今年喔!80億。更離譜的,送來的預算書,我們一本一本去翻,明年中央政府竟然要用到101億,暴增了21億,現在不是單純的、只有你自己的官邸用太多,多了50%出來,而是明年竟然一下子要用到101億人民的納稅錢,暴增了25%,會不會太離譜了?
gazette.blocks[24][0] 卓院長榮泰:好,這兩個部分跟委員解釋,111年我們電費漲了8.4%,112年跟113年各漲了11%左右,所以加起來這三年的30%,過去都沒有反映在預算裡面,而我們這次把它編了,這是第一部分。第二部分,過去台電吸收……
gazette.blocks[25][0] 張委員啓楷:你是說以前都沒漲的,現在一次把它漲足嗎?院長,以前為什麼沒有漲,就是人民不能這麼苦,店家不能這麼苦,所以你才會沒有漲這麼多嘛!你現在變成是以前沒漲的,把原因全部抹掉,然後再一次編足,在上面編了101億嗎?
gazette.blocks[26][0] 卓院長榮泰:不是沒漲,是以前漲價之後都是吸收,都沒有編漲價的費用。第二點,現在台電不再負擔這麼多的政策吸收,所以回歸到教育部、衛福部等等部會單位,由目的事業主管機關編自己的預算來支應電費,就是回到部會裡面來,所以在雙重因素之下,電費的編列是比較多的。
gazette.blocks[27][0] 張委員啓楷:院長,所以你講的是兩件事嘛!你以前在做政策補貼給某些單位,對不對?你現在要改嘛!這是第一個;第二個是我剛才提醒的,以前沒有漲,不代表現在可以漲,以前為什麼沒辦法漲這麼多、沒辦法補,因為人民已經很苦啊!很多店家跟產業已經很苦啊!所以才不能漲那麼多嘛!你現在倒果為因,以前沒有漲的就全部把它補足,沒有這種事情!
gazette.blocks[28][0] 卓院長榮泰:電費已經漲了!
gazette.blocks[29][0] 張委員啓楷:以前不能漲,現在就不能漲,對不對?而且以前沒有漲的全部都放在這一次,人民受得了嗎?
gazette.blocks[30][0] 卓院長榮泰:電費已經漲了,但是過去三年電費都沒有反映在預算裡面,都是機關吸收漲價的部分。
gazette.blocks[31][0] 張委員啓楷:80億還不夠多啊?院長,今年這80億還不夠多嗎?明年101億還不夠多嗎?
gazette.blocks[32][0] 卓院長榮泰:委員,你要聽我講清楚,是漲價的部分沒有反映在預算裡面,今年是把它放在預算裡面,把過去三年漲價的放進去。
gazette.blocks[33][0] 張委員啓楷:80億已經很多很多了,明年一下子漲到101億,你說這是把它一次補足,人民還是受不了啊!所以這個預算我們一定會嚴審,好不好?
gazette.blocks[33][1] 我更期待的是,現在總預算退回去了,我覺得院長可以去想一想,真的!以前沒有漲的,全部就在一年裡面,你要增加25%、增加21億,再想一下,好不好?回去總預算調整的時候,去調一下電費的部分。
gazette.blocks[34][0] 卓院長榮泰:過去三年漲了30%,所以現在把它反映在預算上面……
gazette.blocks[35][0] 張委員啓楷:你本來就有反映啊!沒有反映的原因,就是以前不能加這麼高,對不對?
gazette.blocks[36][0] 卓院長榮泰:是不是請委員在審查預算的時候實質討論,我們希望部會首長跟部會的官員都能夠向大院來清楚說明。
gazette.blocks[37][0] 張委員啓楷:好啦!我很期待、很期待,透過這一次總預算退回去程序委員會,不只是原住民的禁伐補償,包括我們農民的公糧收購,明年的總預算增加4,000億,但原住民那個部分預算才多少?21億;我們公糧收購一年也才60億,那個都是零頭,要照顧原住民你不照顧,要照顧農民你不照顧,卻一下增加4,000億,為什麼?現在有機會退回去程序委員會,我拜託院長重新想一下,電費不要多這麼多,這是要調整的。第二個,怎麼去照顧我們原住民?怎麼去照顧我們的鄉下?想一下,好不好?
gazette.blocks[38][0] 卓院長榮泰:任何一筆預算都要經過合理的編列。
gazette.blocks[39][0] 張委員啓楷:對!
gazette.blocks[40][0] 卓院長榮泰:程序要合法合憲,這樣我們才能夠保持預算的完整性。
gazette.blocks[41][0] 張委員啓楷:原住民禁伐補償條例是我們三讀通過的;我們台灣民眾黨提出公糧收購,一公斤提高5塊錢,是經過院會通過的,這都是法定的預算,這次有個機會退回程序委員會,請趕快補破網,好不好?
gazette.blocks[42][0] 卓院長榮泰:這個可以跟大院再好好地討論,這樣的編列方式如果可行,將來行政院編列預算的法定權利將會被破壞,我們不願意這樣做,但是我們希望各部會在編列預算的時候,能夠具體說明清楚;審查預算的時候,也能夠很清楚地捍衛自己的預算,這樣整個預算的完整性才能完整。
gazette.blocks[43][0] 張委員啓楷:院長,今年4月1日調的平均幅度是11%,民生用電只有5%到10%,我剛剛提醒你了,你一下增加了25%、101億……
gazette.blocks[44][0] 卓院長榮泰:那是連過去兩、三年的……
gazette.blocks[45][0] 張委員啓楷:我再給你看一個,我從你個人官邸談到整體的預算,現在進一步我們來看某些機關,總統府明年的水電費要增加28%;司法院一下子跳了60%。剛剛講了,這是在挖礦、挖比特幣嗎?
gazette.blocks[46][0] 卓院長榮泰:委員這種形容非常不當。
gazette.blocks[47][0] 張委員啓楷:為什麼總統府的……
gazette.blocks[48][0] 卓院長榮泰:委員這種形容非常不當。你說司法院在挖比特幣,這樣形容非常不當,我覺得不要這樣形容。
gazette.blocks[49][0] 張委員啓楷:這是民間在諷刺為什麼……
gazette.blocks[50][0] 卓院長榮泰:民間哪有諷刺在挖比特幣?
gazette.blocks[51][0] 張委員啓楷:總統府一下增加那麼多?院長我問你,這是誰的錢?
gazette.blocks[52][0] 卓院長榮泰:大家、國人的錢。
gazette.blocks[53][0] 張委員啓楷:用我們人民的納稅錢來付你們的水電費,結果幅度漲這麼高?你不掏人民的錢……
gazette.blocks[54][0] 卓院長榮泰:我剛剛跟委員講過,那是三年的比例,為什麼委員都不談論這一點,一直用你一開始的論調呢?這樣我們沒有辦法對話嘛!三年來調整了30%,但過去沒有反映在預算上,這次反映上去了,是這樣的計算方式。在進入實質審查之後,委員如果有意見,可以在審查時跟各部會首長好好去討論。不過這要做合理的編列,這個我們都接受。
gazette.blocks[55][0] 張委員啓楷:院長,你解釋是因為三年沒有漲,所以這次要漲足……
gazette.blocks[56][0] 卓院長榮泰:不是沒有漲……
gazette.blocks[57][0] 張委員啓楷:我剛剛已經跟你講……
gazette.blocks[58][0] 卓院長榮泰:不是沒有漲,是三年沒有反映。
gazette.blocks[59][0] 張委員啓楷:第一個,當初沒有漲一定有它的理由,而且已經漲得夠多了!這三年已經漲得夠多了,你也反映在上面。更嚴重的是,這次一次漲25%……
gazette.blocks[60][0] 卓院長榮泰:報告委員……
gazette.blocks[61][0] 張委員啓楷:人民不會接受的!
gazette.blocks[62][0] 卓院長榮泰:報告委員……
gazette.blocks[63][0] 張委員啓楷:人民是不會接受的!
gazette.blocks[64][0] 卓院長榮泰:兩、三年前……
gazette.blocks[65][0] 張委員啓楷:如同你說的,審查的時候我們再來好好討論……
gazette.blocks[66][0] 卓院長榮泰:4月或9月漲電價時,並沒有辦法適時反映在預算上,委員應該知道這個時程。
gazette.blocks[67][0] 張委員啓楷:院長,人民看到電費單都已經快昏倒了,你還說沒有完全反映?
gazette.blocks[68][0] 卓院長榮泰:我同意委員的觀點,就是……
gazette.blocks[69][0] 張委員啓楷:人民已經受不了,已經夠苦了,你還說沒有足夠的反映?
gazette.blocks[70][0] 卓院長榮泰:終結是要節約用電,沒有錯,所以我們全力在做,也鼓勵國人在做。至於預算的編列是反映過去三年的漲幅,把它反映在預算上,但終結還是要節約用電,這個我完全同意。
gazette.blocks[71][0] 張委員啓楷:院長,我們今年來談一個很重要的事情。今天最新的新聞說10月1日要漲電價,原來講要漲多少?若不給1,000億補貼的話就要漲12%到13%,現在一下子要漲13%到14%,為什麼突然又調高了?第二個,你們這是情緒勒索嗎?還是恐嚇取財?
gazette.blocks[72][0] 卓院長榮泰:先請經濟部答一下。
gazette.blocks[73][0] 張委員啓楷:一下子說一定要撥補,不撥補就要漲電價,有這種道理嗎?把人民當盤子、當肥羊,是不是?
gazette.blocks[74][0] 陳次長正祺:報告委員,撥補台電是為了改善台電的財務結構,跟電價沒有關係!電價是由電價審議會……
gazette.blocks[75][0] 張委員啓楷:次長,等一下。改善財務有很多方法,可以開源節流,有很多方法,為什麼要拿1,000億的人民納稅錢來補上?院長我提醒你,台電的資產可以重估,資產可以活化。既然說要改善財務,那麼這是最簡單的,臺鐵現在不是正在做嗎?
gazette.blocks[76][0] 陳次長正祺:是。
gazette.blocks[77][0] 張委員啓楷:為什麼不做資產重估或活化,反而拿1,000億又1,000億的人民納稅錢去補?
gazette.blocks[78][0] 陳次長正祺:經濟部已經請……
gazette.blocks[79][0] 張委員啓楷:我先提醒,第一個,不要為了台電本身的錯誤拿人民的1,000億撥補!然後不要再漲電價,可以嗎?
gazette.blocks[80][0] 陳次長正祺:第一點,電價要不要漲,要等電價審議會來決定,並不是政府能夠主導的,而且現在外部委員已經過半,所以未來電價是漲或跌,要由電價審議會來決定。第二點,1,000億的撥補,如同院長所說,由台電吸收之後他的財務結構需要補充。但是我要跟委員報告,我們已經請台電做資產重估、活化資產、改善經營效率、多方採購等等,這些都會照委員指示來做。
gazette.blocks[81][0] 張委員啓楷:上個禮拜郭部長在這裡說,如果這1,000億有撥補,應該就不會有漲價的問題。我現在進一步跟你講,根本不用為了台電的財務撥補這1,000億,有更好的方法嘛!台電資產達2兆1,000億,自己不努力、不開源節流,包括能源政策錯誤在內,然後從人民身上掏錢?所以這1,000億本來就不應該給!如果像郭部長上禮拜講的,那麼第一,1,000億要去想辦法,不要再從人民身上撥補;第二,10月1日不要再漲電價了!我問一下院長,你上禮拜五說4月1日民生用電已經漲了,民生很苦,對不對?
gazette.blocks[82][0] 卓院長榮泰:4月1日……
gazette.blocks[83][0] 張委員啓楷:今年愚人節已經漲過一次了,你上禮拜五說過,而且漲電價一方面會衝擊到物價,一方面要穩定民生,所以你也傾向10月1日不要漲,對不對?
gazette.blocks[84][0] 陳次長正祺:這個是政府的期待啦,但還是要由電價審議會來決定。
gazette.blocks[85][0] 張委員啓楷:院長,我在問院長,院長今天能不能清楚的跟全民允諾10月1號不要再漲電價了?
gazette.blocks[86][0] 卓院長榮泰:好,這個……
gazette.blocks[87][0] 張委員啓楷:你是比較接地氣的喔,我剛剛已經講了,第一個,現在電費已經太高,人民已經苦哈哈了,對不對?第二個,你上個禮拜也講了,你認為這個會衝擊到物價、衝擊到民生,甚至你之前都講了,4月1號漲了就不要再漲了啊,你今天……
gazette.blocks[88][0] 卓院長榮泰:好,報告委員……
gazette.blocks[89][0] 張委員啓楷:你今天要不要清楚的跟人民講不要漲電價?10月要不要漲?
gazette.blocks[90][0] 卓院長榮泰:報告委員,雖然電價審議委員會還沒有開,但是我想能夠擔任電價審議委員的這些先進們都會觀測到整個社會民生的需求。我個人認為,雖然我們的民生用電現在是低於台電的發電成本,但是基於民生用電的需求,政府應該想盡各種方法來對民生用電讓它有平穩的機制,不要再增加大家的負擔,這是要的。但是我們的產業結構,這些用電大戶的用電量跟用電單價,我覺得我們就讓電價審議委員會來討論,結論現在沒有人知道,但是我是希望……
gazette.blocks[91][0] 張委員啓楷:院長,你講這個很重要喔,你說希望馬上要開的電價審議委員會民生用電絕對不要漲了。
gazette.blocks[92][0] 卓院長榮泰:這是我個人的期待。
gazette.blocks[93][0] 張委員啓楷:要嘛就去檢討包含工業用電這些,是不是這樣子?
gazette.blocks[94][0] 卓院長榮泰:是,我個人的期待。
gazette.blocks[95][0] 張委員啓楷:好不好?這件事是很重要的,你個人的期待是這樣子。
gazette.blocks[96][0] 卓院長榮泰:所以再跟委員報告……
gazette.blocks[97][0] 張委員啓楷:如果照經濟部上次部長在這邊的說法,就是10月1號儘量不要再漲了,好,我們進一步來……
gazette.blocks[98][0] 卓院長榮泰:所以一句話就是,這個討論跟追加預算的1,000億是不一樣的,追加預算就是要來看過去台電支付那麼多的政策目標之後,它的財政及財務上健全需不需要讓它能夠順利的經營,以及民生用電需不需要政府多投入一些來協助,讓它能夠平穩,我們要用這個方式來講。另外,台電花了很多錢做電網韌性的改善,這個要不要增加一些錢讓它處理。
gazette.blocks[99][0] 張委員啓楷:好,因為電價審議委員會馬上就要開了,我們要決定10月1號要不要漲電價。
gazette.blocks[100][0] 卓院長榮泰:這不是我決定的。
gazette.blocks[101][0] 張委員啓楷:但大家生氣的是今天媒體已經講了,不只是原來的12%至13%,它一下子要漲13%至14%,但我們經過今天這樣的對話,以人民為主,我們儘量民生用電不要再去碰到了,甚至更進一步的,老實講……
gazette.blocks[102][0] 卓院長榮泰:我只能說這是我的……
gazette.blocks[103][0] 張委員啓楷:現在很多產業用電也是很辛苦,儘量……
gazette.blocks[104][0] 卓院長榮泰:我只能說這是我個人的想法……
gazette.blocks[105][0] 張委員啓楷:院長、院長,我做個簡單的結論,第一個,我們儘量往10月1號不要漲電價方向去走,好不好?我們儘量往這個方向去走。
gazette.blocks[105][1] OK,接下來我們來討論1,000億的部分,你在別的地方可以找到這1,000億啊,為什麼每一次都要從大家、人民的口袋裡面去掏錢呢?大家看一下,從2022年12月開始,你們透過認股增資1,500億,特別預算500億,然後經濟部又認股增資1,000億,過去3年已經拿了人民的納稅錢3,000億去補了台電。另外,大家看一下右邊這個表,過去三年漲了三次電價,一次漲8.4%,一次漲11%,一次漲11%,三年漲了30%!院長,我現在要提醒你,最重要的是什麼?你現在看到一個趨勢了,撥補、漲價,撥補、漲價,撥補、漲價,結果問題有解決嗎?
gazette.blocks[106][0] 卓院長榮泰:沒有,因為……
gazette.blocks[107][0] 張委員啓楷:對啊,去年底的時候,三千八百多億的這個虧損,你們說今年4月1號讓我漲一下電價,結果虧損越來越嚴重啊,現在變成無底洞,就表示你現在用撥補,院長,你現在用撥補和漲人民的電價,你不只沒有解決問題,你變成一個無底洞啊!
gazette.blocks[108][0] 卓院長榮泰:報告委員,這個每次漲價都沒有漲到應該有的成本,這個是政策……
gazette.blocks[109][0] 張委員啓楷:你又繞回來了,人民已經很苦,當然就不能再漲啊,對不對?
gazette.blocks[110][0] 卓院長榮泰:所以要用撥補的方式來填補這個財務的狀況,今年4月漲價之後……
gazette.blocks[111][0] 張委員啓楷:可是你現在就是一方面還是要漲電價,10月1號馬上就要漲……
gazette.blocks[112][0] 卓院長榮泰:但是我說過去……
gazette.blocks[113][0] 張委員啓楷:第二個,你還是要撥補啊!
gazette.blocks[114][0] 卓院長榮泰:所以今年4月漲價之後,我現在數字忘記了,台電的營收狀況有所改善,漲價之後有所改善,但距離它的成本當然還是有相當的距離啦。這一次希望電價審議委員會能夠在這個時機點做什麼樣的決定,我們就尊重。
gazette.blocks[115][0] 張委員啓楷:院長,透過我們這樣對話你有沒有發現,你在講漲電價的同時,在講撥補的時候,你都解決不了問題,就是台電的虧損是越來越大的,有發現這個問題嗎?
gazette.blocks[116][0] 卓院長榮泰:因為過去它就是……
gazette.blocks[117][0] 張委員啓楷:如果行政院長和現在的執政黨沒有辦法解決問題,只能從人民的身上去掏錢撥補……
gazette.blocks[118][0] 卓院長榮泰:我們就是要解決問題……
gazette.blocks[119][0] 張委員啓楷:一直漲電價,人民對你們不會很失望嗎?人民不會很苦嗎?
gazette.blocks[120][0] 卓院長榮泰:也許委員認為是左手跟右手,目的事業主管機關來付或台電來付,在委員看也許是左手、右手,但是就台電來看,就是它財務能不能健全、經營能不能適妥的一個方式。現在我們就是把它的很多補貼政策移到目的事業主管機關來,希望台電能夠真正的自立、自營的來經營它的……
gazette.blocks[121][0] 張委員啓楷:院長,你現在提了一個方法,就是用政策補貼的要改回去啦,例如說可能各個機關以前是台電負擔的,這個我贊成……
gazette.blocks[122][0] 卓院長榮泰:這才是一個正常之道。
gazette.blocks[123][0] 張委員啓楷:可是我要再提醒你,這個是杯水車薪,真正的財務解決要從根做起,最簡單的嘛,我們從國小就唸過……
gazette.blocks[124][0] 卓院長榮泰:好、好,我們就從這個地方開始大力地來推動。
gazette.blocks[125][0] 張委員啓楷:院長,解決方法我們從國小就唸過了,開源節流嘛,對不對?
gazette.blocks[126][0] 卓院長榮泰:是。
gazette.blocks[127][0] 張委員啓楷:開源節流嘛,我剛剛給你看的就是節流,從你的官邸到各個機關用的水電費,一直到各個機關,包括總統府跟司法院,不要用那麼多的電,你叫人民要省電,結果政府「歹鬼𤆬頭」,你們是「歹鬼𤆬頭」嘛!所以我們來得及補破網,院長,來得及補破網,趕快把政府的用電跟上人民的省電,金額不要那麼多,這是要省的嘛!
gazette.blocks[128][0] 卓院長榮泰:好,我也承諾官邸的用電狀況我們一定馬上查清楚,跟大家報告。
gazette.blocks[129][0] 張委員啓楷:好,解決方法很簡單嘛,就是開源節流,你提的是開源節流的一部分嘛,對不對?政策補貼改變了嘛!
gazette.blocks[129][1] 來,我們看一下,其實我們的電價應該是往下降而不是往上漲,每次你們要漲的時候,這是一個最重要的因素,你們每次都說俄烏戰爭以後天然氣價格暴漲,院長,我給你看一下,我們來看這張圖,這是天然氣最近這幾年的趨勢圖,給大家看一下這個圖,院長,你有看到嗎?
gazette.blocks[130][0] 卓院長榮泰:有,我看到2022年跟2023年很高啊!不是嗎?
gazette.blocks[131][0] 張委員啓楷:你看喔,天然氣價格最暴增的時候就是在上面那個2022年到2023年,可是你有發現嗎?2023年就往下掉了。
gazette.blocks[132][0] 卓院長榮泰:是。
gazette.blocks[133][0] 張委員啓楷:現在民國幾年?現在2024年嘛,對不對?
gazette.blocks[134][0] 卓院長榮泰:是。
gazette.blocks[135][0] 張委員啓楷:2024年,你看右邊這個圖跟左邊的2017年、2018年相比,現在國際天然氣的價格從去年、2023年就開始掉了,掉到現在比2017年跟2018年還低,是不是這樣?
gazette.blocks[136][0] 卓院長榮泰:所以剛剛和委員報告,4月之後台電的盈餘狀況是有所改善的,跟這個也有相關啦。
gazette.blocks[137][0] 張委員啓楷:對啊,所以……
gazette.blocks[138][0] 卓院長榮泰:我剛剛已經講過啦。
gazette.blocks[139][0] 張委員啓楷:所以院長,這個就很重要,所以電費應該要降啊,你怎麼反而往上飆呢?你的成本,你的購電成本在往下掉的時候,竟然電費不是降而是往上……
gazette.blocks[140][0] 卓院長榮泰:是成本的關係,我們電費的原則第一個是反映成本,第二個是照顧民生,第三個是穩定物價,再來是節能減碳,所以第一個要反映成本,過去都沒有辦法反映成本,因為原料也高,各種都很高,現在是儘量把它接近成本。
gazette.blocks[141][0] 張委員啓楷:院長,是你們跟大家說的,從上一任的總統跟院長,到你這一任的院長跟總統,還有經濟部,你們一直跟我們講為什麼虧損會那麼嚴重,包括要漲電價,你們的購電成本還是高的嘛,所以我今天給你看啊,你們一直講天然氣啊,但這個圖清清楚楚了吧,它已經掉下來了!
gazette.blocks[142][0] 卓院長榮泰:所以今年是改善的啊,今年是改善的……
gazette.blocks[143][0] 張委員啓楷:所以院長……
gazette.blocks[144][0] 卓院長榮泰:但過去虧損太多……
gazette.blocks[145][0] 張委員啓楷:院長,所以改善了!院長、院長,既然改善了,所以電價是不是要往下降?你怎麼往上調?
gazette.blocks[146][0] 卓院長榮泰:過去虧損太多,我們距離成本還是有距離的,距離發電成本還是有距離的。
gazette.blocks[147][0] 張委員啓楷:你已經在過去3年撥補了3,000億以上,然後你也已經漲了3次電價了,你還跟我說還撥不夠?
gazette.blocks[147][1] 次長,你不要講。
gazette.blocks[147][2] 來,你已經撥補那麼多,也漲了那麼多,我再重複一次好不好,3年撥補了3,000億以上,3年漲價漲了30%以上,你不就是該補起來了嗎?
gazette.blocks[148][0] 卓院長榮泰:那有相當的比例……
gazette.blocks[149][0] 張委員啓楷:怎麼還補不夠呢?這是第一點。
gazette.blocks[149][1] 第二個,你們一直掛在嘴邊的是什麼?天然氣的價格……
gazette.blocks[150][0] 卓院長榮泰:那是台電負擔很多的補貼政策,政府必須做這些補貼政策……
gazette.blocks[151][0] 張委員啓楷:你又繞回去了,補貼的不是你剛才說了嘛,我贊成嘛,你回去……
gazette.blocks[152][0] 卓院長榮泰:還有民生用電一直是低於成本的,所以政府也要穩定民生用電的成本計算,不要漲太多的民生用電,這個是已經存在多年的事實,所以它的財務狀況一直不是很好,尤其到了2022年、2023年整個燃料、能源上漲之後,它的級距是加深的。今年我們在4月調漲之後,以及現在能源的變化,今年度4月之後到現在是有所改善的,但過去的虧損仍然很多,就是那兩個原因,一個是穩定民生,一個就是政策的支應。現在我們把政策這部分回到各目的事業主管機關,我們希望用追加預算來填補民生用電的部分,這樣,我們期待一年、兩年之後的台電所呈現出來的,跟現在的經營狀況會有所不同。那天郭部長在這裡也很大聲的說,兩年之內他希望能夠有所改善,希望給經濟部這樣一段時間,也給辛苦、努力的台電同仁一個鼓勵。
gazette.blocks[153][0] 張委員啓楷:院長,我們臺灣人民的水準是很高的。
gazette.blocks[154][0] 卓院長榮泰:是。
gazette.blocks[155][0] 張委員啓楷:我想從這個圖很清楚的看出來,就是前幾年政府一直在講,因為天然氣價格暴增,所以電費必須漲,今天很清楚,從這個圖看出來,拜託一下,現在電費應該是考慮要往下降了,不是再往上漲,我進一步來……
gazette.blocks[156][0] 卓院長榮泰:我們現在的電價跟發電成本還有距離。
gazette.blocks[157][0] 張委員啓楷:為什麼?對,問題來了,為什麼?你的發電成本應該是往下降,你用天然氣用那麼多,你以前漲電價,發電成本高也是因為天然氣,現在天然氣價格降啦!
gazette.blocks[158][0] 卓院長榮泰:我們以氣換煤,這個是政策……
gazette.blocks[159][0] 張委員啓楷:來來來,所以問題出在什麼地方?一定還有另外一個漏洞,你沒有跟人民講,你有一個沒有跟人民講的真相。為什麼成本還在增加?天然氣明明已經降了,為什麼?這段時間出了什麼問題?你們廢核嘛!對不對?來,院長,我給你看一下……
gazette.blocks[160][0] 卓院長榮泰:不是,不是。現在核能的比例已經相當低了,所以核能發電的部分並不能降低太多的成本,因為現在是在彌補過去的狀況,過去的補貼政策,現在台電的財務是不健全的,希望能夠讓它的財務健全,兩年之後,那天郭部長講了,他很勇敢而且負責任的講,兩年之內要讓台電的經營能夠順暢,能夠進入到一個正常的經營狀態,那我們應該給台電這樣努力的空間,所以,我們儘量把它的財務狀況調得比較健全一點,不要負擔太多的政策責任。
gazette.blocks[161][0] 張委員啓楷:院長,台電的要怎麼樣做才可以財務健全?
gazette.blocks[162][0] 卓院長榮泰:很多方式,可以討論……
gazette.blocks[163][0] 張委員啓楷:它本來是金雞母,回到剛剛那張圖給大家看一下,台電是一個金雞母,回到上面那張圖,台電為什麼從金雞母變成敗家子?你一直講財務的問題,你看喔!2017年、2018年的時候,台電都還是金雞母,都還是賺錢的。2017年,那時候台電賺多少錢?118億;2018年的時候還賺了35億,光是今年,2024年不只沒有賺錢,還要淨損2,124億,為什麼有這麼大的落差?
gazette.blocks[164][0] 卓院長榮泰:我也非常不能接受……
gazette.blocks[165][0] 張委員啓楷:你同樣用天然氣,現在天然氣的價格已經比2017年跟18年還低了,那時候是賺錢的,為什麼現在賠這麼多?你在講財務,問題在哪裡?我們看下一張,好不好,院長……
gazette.blocks[166][0] 卓院長榮泰:賠的就是兩、三年前……
gazette.blocks[167][0] 張委員啓楷:問題在你剛剛講的,你把核電廢掉之後,你有跟人民講嗎?你廢掉核電之後我們每一年要增加多少錢,你有跟人民講過這個事嗎?這就是你所謂的財務。院長,最便宜的電是什麼電?我們看下一張,你看台電,你知道核電一度電成本是多少?
gazette.blocks[168][0] 卓院長榮泰:當然,核電你在現場買很便宜,售後服務就很貴。
gazette.blocks[169][0] 張委員啓楷:你在講的售後服務,那部分有核後端基金,你不曉得這件事嗎?核後端基金已經有4,000多億擺在那裡啦!
gazette.blocks[170][0] 卓院長榮泰:對,但是報告委員,那也是人民的錢,不是嗎?那也是人民的錢啊。
gazette.blocks[171][0] 張委員啓楷:對啊,你的再生能源買很貴啊,現在是兩個問題嘛!你在講財務,你現在出了問題,我剛剛跟你講……
gazette.blocks[172][0] 卓院長榮泰:沒有綠能,很多先進產業需要用綠能的。
gazette.blocks[173][0] 張委員啓楷:院長,我現在在跟你講,為什麼你以前是賺錢的,現在賠錢,那你有去看那個能源結構到底出了什麼問題?第一個就是因為你把核電停掉了嘛;第二個你買了很多再生能源,這兩個價格差很多,你有沒有跟人民講這個事情?而且,你那個真相沒有講,要跟全民去講清楚,核電,因為你明年還要廢掉核三廠的二號機,我們人民的用電成本會越來越高,所以它造成要漲電價。
gazette.blocks[174][0] 卓院長榮泰:報告委員,我們還要很多的錢用於核二、核三的後續……
gazette.blocks[175][0] 張委員啓楷:第二個,再生能源我們沒有反對用,抱歉,讓我講完,院長,讓我講完。院長,我們沒有反對你去發展再生能源,可是太陽能出現那麼多的弊案,很多案子顯然就是花了太多錢,這才是兩個真正的原因嘛。
gazette.blocks[175][1] 我給大家看一下這個圖表,來、來、來,看一下上一個核三的。院長,你在廢核的同時是不是要跟人民講,這幾年為什麼一直在漲電價,一直在撥補,就是因為核一已經沒有了,核二已經沒有了,核三的一號機已經被你停了,明年二號機又要停,這代價有多高,你知道嗎?人民到底要付多少錢?你有沒有跟人民解釋過,跟人民講過這個事情?院長,你有去統計過這個嗎?
gazette.blocks[176][0] 卓院長榮泰:報告委員,所謂的真相就是核電買起來很便宜,確實比較便宜,可是它事後的售後服務非常的貴,每一筆錢都是,而且它的建設費用也很高,這個都要算進去的,現在核電占的比例已經相當低了。
gazette.blocks[177][0] 張委員啓楷:你核一廠、核二廠、核三廠不都建好了,那核四廠都建好了,不是嗎?而且你講後端,我們每一度電裡面就會有核廢料的處理,有核後端的基金啊!四千多億放在那裡啊!本來就在那裡啊!
gazette.blocks[178][0] 卓院長榮泰:這也是人民的錢,所以繼續的用,就會繼續要處理核廢料。
gazette.blocks[179][0] 張委員啓楷:所以你剛剛講的是有問題的,院長,來、來、來,我覺得人民最關心的就是10月1日不要漲電價,第二個,你要跟人民把真相講清楚,因為你們廢核,這是你們的神主牌或者你們的意識形態嘛!這個代價有多高?來,我們來看看,這是從台電的官網抓下來的資料,核電1度電的成本是1.13元,對不對?夠便宜了吧!你剛剛在講的核後端處理基金四千多億也在那裡啦!用火力發電1度要多少?2.98元;用再生能源是5.39元。在這段時間你剛剛講為什麼一直在拿錢,漲人民的電價,一直在撥補?就是因為核一停了,核二停了,核三的一號機停了,那個代價有多高?來,你這個數學題,電是科學問題,也是簡單的數學題,你知道嗎?院長,你算一下,跳回去,你算一下,光是一個核三廠好了,核三廠去年……抱歉,請暫停一下。
gazette.blocks[180][0] 主席:時間到了,啓楷委員。
gazette.blocks[181][0] 卓院長榮泰:我們可以私下再談。
gazette.blocks[182][0] 張委員啓楷:我們等一下再談,就是那個成本的問題要好好去解釋,好不好?
gazette.blocks[183][0] 卓院長榮泰:好。
gazette.blocks[184][0] 張委員啓楷:OK。
gazette.blocks[185][0] 主席:謝謝張啓楷委員,謝謝卓院長的備詢。
gazette.blocks[185][1] 接下來我們請登記第9號陳培瑜委員質詢。
gazette.agenda.page_end 322
gazette.agenda.meet_id 院會-11-2-1
gazette.agenda.speakers[0] 韓國瑜
gazette.agenda.speakers[1] 張啓楷
gazette.agenda.speakers[2] 陳培瑜
gazette.agenda.speakers[3] 羅智強
gazette.agenda.speakers[4] 林國成
gazette.agenda.speakers[5] 陳瑩
gazette.agenda.speakers[6] 洪孟楷
gazette.agenda.speakers[7] 黃秀芳
gazette.agenda.speakers[8] 謝龍介
gazette.agenda.speakers[9] 李柏毅
gazette.agenda.speakers[10] 賴士葆
gazette.agenda.speakers[11] 許智傑
gazette.agenda.speakers[12] 黃健豪
gazette.agenda.speakers[13] 陳素月
gazette.agenda.page_start 233
gazette.agenda.meetingDate[0] 2024-09-24
gazette.agenda.gazette_id 1137501
gazette.agenda.agenda_lcidc_ids[0] 1137501_00003
gazette.agenda.agenda_lcidc_ids[1] 1137501_00004
gazette.agenda.meet_name 立法院第11屆第2會期第1次會議紀錄
gazette.agenda.content 施政質詢 行政院院長施政報告並備質詢─ 繼續質詢─
gazette.agenda.agenda_id 1137501_00010
委員名稱 張啓楷
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dfdc7d5d95287b897323d1233611dc2db9fd6e84e674c262b062435bfed6d92a7a6d1c5068171aab5ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 21.71534375
transcript.pyannote[0].end 25.24221875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 36.31221875
transcript.pyannote[1].end 38.65784375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 40.05846875
transcript.pyannote[2].end 41.88096875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 42.31971875
transcript.pyannote[3].end 43.34909375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 43.45034375
transcript.pyannote[4].end 45.23909375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 45.55971875
transcript.pyannote[5].end 46.33596875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 46.94346875
transcript.pyannote[6].end 48.24284375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 49.22159375
transcript.pyannote[7].end 50.77409375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 51.55034375
transcript.pyannote[8].end 52.63034375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 53.37284375
transcript.pyannote[9].end 53.99721875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 54.94221875
transcript.pyannote[10].end 56.15721875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 57.15284375
transcript.pyannote[11].end 58.36784375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 59.53221875
transcript.pyannote[12].end 60.54471875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 61.54034375
transcript.pyannote[13].end 62.90721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 63.12659375
transcript.pyannote[14].end 63.14346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 63.14346875
transcript.pyannote[15].end 63.46409375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 65.21909375
transcript.pyannote[16].end 65.77596875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 66.72096875
transcript.pyannote[17].end 67.02471875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 67.02471875
transcript.pyannote[18].end 67.68284375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 68.47596875
transcript.pyannote[19].end 69.55596875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 70.39971875
transcript.pyannote[20].end 71.22659375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 72.52596875
transcript.pyannote[21].end 74.11221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 74.78721875
transcript.pyannote[22].end 77.67284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 78.24659375
transcript.pyannote[23].end 80.69346875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 80.82846875
transcript.pyannote[24].end 82.41471875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 83.19096875
transcript.pyannote[25].end 87.22409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 87.35909375
transcript.pyannote[26].end 88.35471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 88.75971875
transcript.pyannote[27].end 89.73846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 90.09284375
transcript.pyannote[28].end 91.02096875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 91.61159375
transcript.pyannote[29].end 92.35409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 92.84346875
transcript.pyannote[30].end 95.88096875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 96.28596875
transcript.pyannote[31].end 100.58909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 96.30284375
transcript.pyannote[32].end 96.91034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 100.87596875
transcript.pyannote[33].end 101.65221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 101.87159375
transcript.pyannote[34].end 104.77409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 105.07784375
transcript.pyannote[35].end 108.90846875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 109.11096875
transcript.pyannote[36].end 111.57471875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 112.01346875
transcript.pyannote[37].end 112.06409375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 112.06409375
transcript.pyannote[38].end 112.19909375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 112.19909375
transcript.pyannote[39].end 112.23284375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 112.65471875
transcript.pyannote[40].end 117.53159375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 115.00034375
transcript.pyannote[41].end 115.84409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 115.84409375
transcript.pyannote[42].end 115.89471875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 116.82284375
transcript.pyannote[43].end 116.97471875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 116.97471875
transcript.pyannote[44].end 117.27846875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 117.98721875
transcript.pyannote[45].end 121.37909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 119.32034375
transcript.pyannote[46].end 119.99534375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 121.51409375
transcript.pyannote[47].end 121.53096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 121.53096875
transcript.pyannote[48].end 121.54784375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 121.54784375
transcript.pyannote[49].end 121.56471875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 121.56471875
transcript.pyannote[50].end 121.61534375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 121.61534375
transcript.pyannote[51].end 121.68284375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 121.68284375
transcript.pyannote[52].end 121.73346875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 121.73346875
transcript.pyannote[53].end 127.31909375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 127.63971875
transcript.pyannote[54].end 128.98971875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 129.17534375
transcript.pyannote[55].end 130.18784375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 130.55909375
transcript.pyannote[56].end 131.85846875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 132.60096875
transcript.pyannote[57].end 133.84971875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 134.87909375
transcript.pyannote[58].end 136.41471875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 137.32596875
transcript.pyannote[59].end 144.64971875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 145.84784375
transcript.pyannote[60].end 148.85159375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 148.86846875
transcript.pyannote[61].end 150.08346875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 150.70784375
transcript.pyannote[62].end 152.31096875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 152.66534375
transcript.pyannote[63].end 153.37409375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 154.36971875
transcript.pyannote[64].end 158.23409375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 158.43659375
transcript.pyannote[65].end 160.15784375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 160.57971875
transcript.pyannote[66].end 161.50784375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 161.98034375
transcript.pyannote[67].end 164.62971875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 165.60846875
transcript.pyannote[68].end 166.62096875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 166.78971875
transcript.pyannote[69].end 168.03846875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 168.03846875
transcript.pyannote[70].end 168.46034375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 169.01721875
transcript.pyannote[71].end 169.91159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 170.48534375
transcript.pyannote[72].end 174.28221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 174.48471875
transcript.pyannote[73].end 176.72909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 177.38721875
transcript.pyannote[74].end 184.94721875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 182.85471875
transcript.pyannote[75].end 183.95159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 183.95159375
transcript.pyannote[76].end 184.03596875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 184.03596875
transcript.pyannote[77].end 184.99784375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 184.94721875
transcript.pyannote[78].end 185.03159375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 185.03159375
transcript.pyannote[79].end 196.37159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 185.11596875
transcript.pyannote[80].end 185.26784375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 194.07659375
transcript.pyannote[81].end 194.48159375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 196.16909375
transcript.pyannote[82].end 196.84409375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 196.72596875
transcript.pyannote[83].end 198.58221875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 198.98721875
transcript.pyannote[84].end 205.02846875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 200.97846875
transcript.pyannote[85].end 202.32846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 205.02846875
transcript.pyannote[86].end 205.11284375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 205.11284375
transcript.pyannote[87].end 205.31534375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 205.31534375
transcript.pyannote[88].end 210.86721875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 211.06971875
transcript.pyannote[89].end 211.44096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 211.62659375
transcript.pyannote[90].end 212.82471875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 213.11159375
transcript.pyannote[91].end 217.26284375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 217.53284375
transcript.pyannote[92].end 219.77721875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 219.16971875
transcript.pyannote[93].end 219.76034375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 219.77721875
transcript.pyannote[94].end 219.84471875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 219.84471875
transcript.pyannote[95].end 219.89534375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 219.89534375
transcript.pyannote[96].end 219.94596875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 220.46909375
transcript.pyannote[97].end 221.51534375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 222.13971875
transcript.pyannote[98].end 225.39659375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 226.94909375
transcript.pyannote[99].end 227.62409375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 228.95721875
transcript.pyannote[100].end 229.51409375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 229.91909375
transcript.pyannote[101].end 234.34034375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 234.98159375
transcript.pyannote[102].end 235.55534375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 238.08659375
transcript.pyannote[103].end 238.71096875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 239.53784375
transcript.pyannote[104].end 240.43221875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 241.66409375
transcript.pyannote[105].end 243.23346875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 244.39784375
transcript.pyannote[106].end 245.76471875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 247.33409375
transcript.pyannote[107].end 248.31284375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 249.40971875
transcript.pyannote[108].end 252.21096875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 252.53159375
transcript.pyannote[109].end 254.92784375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 256.04159375
transcript.pyannote[110].end 258.50534375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 259.01159375
transcript.pyannote[111].end 260.20971875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 260.83409375
transcript.pyannote[112].end 264.15846875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 264.47909375
transcript.pyannote[113].end 266.72346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 266.16659375
transcript.pyannote[114].end 268.76534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 269.00159375
transcript.pyannote[115].end 275.70096875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 275.90346875
transcript.pyannote[116].end 278.35034375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 278.77221875
transcript.pyannote[117].end 286.06221875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 284.98221875
transcript.pyannote[118].end 299.08971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 287.27721875
transcript.pyannote[119].end 287.74971875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 288.88034375
transcript.pyannote[120].end 290.38221875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 292.32284375
transcript.pyannote[121].end 292.54221875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 292.54221875
transcript.pyannote[122].end 292.93034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 292.93034375
transcript.pyannote[123].end 292.96409375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 292.96409375
transcript.pyannote[124].end 293.01471875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 293.01471875
transcript.pyannote[125].end 293.65596875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 293.65596875
transcript.pyannote[126].end 294.09471875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 298.22909375
transcript.pyannote[127].end 299.03909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 299.03909375
transcript.pyannote[128].end 299.10659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 299.08971875
transcript.pyannote[129].end 300.45659375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 300.43971875
transcript.pyannote[130].end 302.14409375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 300.45659375
transcript.pyannote[131].end 306.70034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 306.86909375
transcript.pyannote[132].end 308.35409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 308.45534375
transcript.pyannote[133].end 315.76221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 315.93096875
transcript.pyannote[134].end 323.98034375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 324.53721875
transcript.pyannote[135].end 326.83221875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 327.05159375
transcript.pyannote[136].end 328.57034375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 328.95846875
transcript.pyannote[137].end 334.40909375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 334.44284375
transcript.pyannote[138].end 334.45971875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 334.62846875
transcript.pyannote[139].end 338.96534375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 339.67409375
transcript.pyannote[140].end 340.88909375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 341.29409375
transcript.pyannote[141].end 356.12721875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 346.55909375
transcript.pyannote[142].end 348.12846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 348.12846875
transcript.pyannote[143].end 348.39846875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 349.56284375
transcript.pyannote[144].end 351.04784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 352.02659375
transcript.pyannote[145].end 353.71409375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 355.41846875
transcript.pyannote[146].end 356.54909375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 356.54909375
transcript.pyannote[147].end 356.76846875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 356.76846875
transcript.pyannote[148].end 362.01659375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 362.15159375
transcript.pyannote[149].end 371.06159375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 362.69159375
transcript.pyannote[150].end 363.75471875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 365.96534375
transcript.pyannote[151].end 367.07909375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 369.35721875
transcript.pyannote[152].end 369.64409375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 371.36534375
transcript.pyannote[153].end 374.36909375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 374.63909375
transcript.pyannote[154].end 380.35971875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 380.35971875
transcript.pyannote[155].end 387.02534375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 387.78471875
transcript.pyannote[156].end 389.37096875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 389.79284375
transcript.pyannote[157].end 390.19784375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 390.78846875
transcript.pyannote[158].end 400.03596875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 394.46721875
transcript.pyannote[159].end 395.12534375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 400.59284375
transcript.pyannote[160].end 405.03096875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 401.30159375
transcript.pyannote[161].end 401.84159375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 402.60096875
transcript.pyannote[162].end 407.81534375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 405.62159375
transcript.pyannote[163].end 405.75659375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 408.06846875
transcript.pyannote[164].end 412.60784375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 410.49846875
transcript.pyannote[165].end 414.71721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 413.89034375
transcript.pyannote[166].end 419.57721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 419.88096875
transcript.pyannote[167].end 423.23909375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 423.23909375
transcript.pyannote[168].end 423.30659375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 423.40784375
transcript.pyannote[169].end 423.79596875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 424.38659375
transcript.pyannote[170].end 428.90909375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 429.55034375
transcript.pyannote[171].end 434.03909375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 435.59159375
transcript.pyannote[172].end 436.53659375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 437.21159375
transcript.pyannote[173].end 438.69659375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 439.21971875
transcript.pyannote[174].end 440.08034375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 441.31221875
transcript.pyannote[175].end 449.54721875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 449.73284375
transcript.pyannote[176].end 452.26409375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 452.92221875
transcript.pyannote[177].end 463.41846875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 456.14534375
transcript.pyannote[178].end 456.16221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 456.16221875
transcript.pyannote[179].end 456.68534375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 461.93346875
transcript.pyannote[180].end 465.10596875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 465.22409375
transcript.pyannote[181].end 465.46034375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 465.69659375
transcript.pyannote[182].end 469.10534375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 469.10534375
transcript.pyannote[183].end 469.12221875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 469.12221875
transcript.pyannote[184].end 469.15596875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 469.32471875
transcript.pyannote[185].end 471.41721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 471.46784375
transcript.pyannote[186].end 473.00346875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 472.00784375
transcript.pyannote[187].end 482.21721875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 482.21721875
transcript.pyannote[188].end 482.23409375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 482.47034375
transcript.pyannote[189].end 484.02284375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 484.02284375
transcript.pyannote[190].end 492.96659375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 486.92534375
transcript.pyannote[191].end 486.99284375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 486.99284375
transcript.pyannote[192].end 487.31346875
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 487.31346875
transcript.pyannote[193].end 487.38096875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 493.21971875
transcript.pyannote[194].end 496.47659375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 496.54409375
transcript.pyannote[195].end 501.70784375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 501.79221875
transcript.pyannote[196].end 505.96034375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 503.96909375
transcript.pyannote[197].end 504.57659375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 505.21784375
transcript.pyannote[198].end 505.62284375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 506.11221875
transcript.pyannote[199].end 506.60159375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 506.77034375
transcript.pyannote[200].end 508.39034375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 509.03159375
transcript.pyannote[201].end 512.33909375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 512.49096875
transcript.pyannote[202].end 516.43971875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 516.45659375
transcript.pyannote[203].end 520.33784375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 516.59159375
transcript.pyannote[204].end 518.46471875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 520.40534375
transcript.pyannote[205].end 521.16471875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 521.46846875
transcript.pyannote[206].end 522.85221875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 523.51034375
transcript.pyannote[207].end 525.34971875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 529.45034375
transcript.pyannote[208].end 530.24346875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 530.88471875
transcript.pyannote[209].end 531.45846875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 532.09971875
transcript.pyannote[210].end 532.90971875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 534.19221875
transcript.pyannote[211].end 535.28909375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 535.55909375
transcript.pyannote[212].end 536.85846875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 538.57971875
transcript.pyannote[213].end 539.35596875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 539.99721875
transcript.pyannote[214].end 540.70596875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 541.22909375
transcript.pyannote[215].end 542.78159375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 544.03034375
transcript.pyannote[216].end 547.97909375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 544.09784375
transcript.pyannote[217].end 544.11471875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 544.11471875
transcript.pyannote[218].end 545.86971875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 546.76409375
transcript.pyannote[219].end 548.51909375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 548.73846875
transcript.pyannote[220].end 553.95284375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 548.97471875
transcript.pyannote[221].end 550.10534375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 551.89409375
transcript.pyannote[222].end 558.05346875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 556.56846875
transcript.pyannote[223].end 558.61034375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 558.44159375
transcript.pyannote[224].end 559.50471875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 560.39909375
transcript.pyannote[225].end 561.24284375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 561.76596875
transcript.pyannote[226].end 563.14971875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 563.14971875
transcript.pyannote[227].end 565.25909375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 565.69784375
transcript.pyannote[228].end 566.40659375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 566.77784375
transcript.pyannote[229].end 568.33034375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 569.41034375
transcript.pyannote[230].end 570.03471875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 570.03471875
transcript.pyannote[231].end 570.57471875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 570.89534375
transcript.pyannote[232].end 574.10159375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 574.37159375
transcript.pyannote[233].end 577.15596875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 577.37534375
transcript.pyannote[234].end 577.45971875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 577.45971875
transcript.pyannote[235].end 579.34971875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 579.88971875
transcript.pyannote[236].end 585.98159375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 586.20096875
transcript.pyannote[237].end 587.70284375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 587.97284375
transcript.pyannote[238].end 589.52534375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 589.76159375
transcript.pyannote[239].end 595.21221875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 595.60034375
transcript.pyannote[240].end 598.33409375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 598.51971875
transcript.pyannote[241].end 599.78534375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 600.03846875
transcript.pyannote[242].end 610.02846875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 602.60346875
transcript.pyannote[243].end 603.63284375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 604.29096875
transcript.pyannote[244].end 605.72534375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 610.99034375
transcript.pyannote[245].end 622.44846875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 614.33159375
transcript.pyannote[246].end 614.70284375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 616.27221875
transcript.pyannote[247].end 616.55909375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 618.22971875
transcript.pyannote[248].end 619.22534375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 619.74846875
transcript.pyannote[249].end 620.84534375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 622.44846875
transcript.pyannote[250].end 623.27534375
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 622.48221875
transcript.pyannote[251].end 623.19096875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 623.27534375
transcript.pyannote[252].end 623.49471875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 623.49471875
transcript.pyannote[253].end 624.11909375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 624.22034375
transcript.pyannote[254].end 629.43471875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 629.85659375
transcript.pyannote[255].end 631.39221875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 631.96596875
transcript.pyannote[256].end 631.99971875
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 631.99971875
transcript.pyannote[257].end 632.25284375
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 632.72534375
transcript.pyannote[258].end 632.74221875
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 632.74221875
transcript.pyannote[259].end 633.11346875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 633.50159375
transcript.pyannote[260].end 637.77096875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 636.01596875
transcript.pyannote[261].end 650.02221875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 639.52596875
transcript.pyannote[262].end 642.34409375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 650.22471875
transcript.pyannote[263].end 654.13971875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 654.73034375
transcript.pyannote[264].end 658.79721875
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 657.63284375
transcript.pyannote[265].end 660.21471875
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 660.73784375
transcript.pyannote[266].end 662.42534375
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 663.74159375
transcript.pyannote[267].end 665.10846875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 665.39534375
transcript.pyannote[268].end 667.23471875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 667.60596875
transcript.pyannote[269].end 670.44096875
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 671.55471875
transcript.pyannote[270].end 672.71909375
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 673.29284375
transcript.pyannote[271].end 673.95096875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 674.13659375
transcript.pyannote[272].end 675.92534375
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 676.93784375
transcript.pyannote[273].end 681.30846875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 682.20284375
transcript.pyannote[274].end 684.37971875
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 684.86909375
transcript.pyannote[275].end 685.91534375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 686.74221875
transcript.pyannote[276].end 687.88971875
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 686.92784375
transcript.pyannote[277].end 687.73784375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 687.88971875
transcript.pyannote[278].end 687.92346875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 687.92346875
transcript.pyannote[279].end 687.94034375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 687.99096875
transcript.pyannote[280].end 691.93971875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 691.95659375
transcript.pyannote[281].end 692.04096875
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 692.09159375
transcript.pyannote[282].end 694.57221875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 694.90971875
transcript.pyannote[283].end 695.58471875
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 696.09096875
transcript.pyannote[284].end 703.43159375
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 702.40221875
transcript.pyannote[285].end 703.63409375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 703.63409375
transcript.pyannote[286].end 705.03471875
transcript.pyannote[287].speaker SPEAKER_03
transcript.pyannote[287].start 705.03471875
transcript.pyannote[287].end 706.70534375
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 707.73471875
transcript.pyannote[288].end 708.94971875
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 709.13534375
transcript.pyannote[289].end 712.66221875
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 713.45534375
transcript.pyannote[290].end 714.68721875
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 715.68284375
transcript.pyannote[291].end 720.22221875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 720.52596875
transcript.pyannote[292].end 723.02346875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 723.07409375
transcript.pyannote[293].end 724.50846875
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 725.52096875
transcript.pyannote[294].end 727.84971875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 728.60909375
transcript.pyannote[295].end 731.41034375
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 731.64659375
transcript.pyannote[296].end 735.98346875
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 734.02596875
transcript.pyannote[297].end 735.27471875
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 736.47284375
transcript.pyannote[298].end 742.27784375
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 742.80096875
transcript.pyannote[299].end 746.96909375
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 746.96909375
transcript.pyannote[300].end 758.79846875
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 759.16971875
transcript.pyannote[301].end 775.03221875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 772.82159375
transcript.pyannote[302].end 775.67346875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 776.78721875
transcript.pyannote[303].end 777.61409375
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 778.45784375
transcript.pyannote[304].end 782.15346875
transcript.pyannote[305].speaker SPEAKER_03
transcript.pyannote[305].start 782.54159375
transcript.pyannote[305].end 785.51159375
transcript.pyannote[306].speaker SPEAKER_03
transcript.pyannote[306].start 785.81534375
transcript.pyannote[306].end 791.01284375
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 791.65409375
transcript.pyannote[307].end 792.80159375
transcript.pyannote[308].speaker SPEAKER_03
transcript.pyannote[308].start 793.20659375
transcript.pyannote[308].end 794.60721875
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 795.51846875
transcript.pyannote[309].end 799.72034375
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 799.99034375
transcript.pyannote[310].end 802.16721875
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 802.23471875
transcript.pyannote[311].end 803.43284375
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 803.61846875
transcript.pyannote[312].end 805.79534375
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 806.80784375
transcript.pyannote[313].end 811.09409375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 811.80284375
transcript.pyannote[314].end 815.17784375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 815.54909375
transcript.pyannote[315].end 816.52784375
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 817.13534375
transcript.pyannote[316].end 818.53596875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 819.58221875
transcript.pyannote[317].end 827.15909375
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 823.07534375
transcript.pyannote[318].end 823.80096875
transcript.pyannote[319].speaker SPEAKER_03
transcript.pyannote[319].start 827.81721875
transcript.pyannote[319].end 828.81284375
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 829.25159375
transcript.pyannote[320].end 832.17096875
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 832.66034375
transcript.pyannote[321].end 834.83721875
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 835.98471875
transcript.pyannote[322].end 837.46971875
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 837.63846875
transcript.pyannote[323].end 839.73096875
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 838.80284375
transcript.pyannote[324].end 842.95409375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 843.24096875
transcript.pyannote[325].end 845.56971875
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 846.51471875
transcript.pyannote[326].end 850.90221875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 846.53159375
transcript.pyannote[327].end 847.05471875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 851.49284375
transcript.pyannote[328].end 853.50096875
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 854.29409375
transcript.pyannote[329].end 856.79159375
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 857.06159375
transcript.pyannote[330].end 860.70659375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 859.52534375
transcript.pyannote[331].end 860.31846875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 860.70659375
transcript.pyannote[332].end 860.89221875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 860.89221875
transcript.pyannote[333].end 860.90909375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 860.90909375
transcript.pyannote[334].end 860.94284375
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 860.94284375
transcript.pyannote[335].end 860.95971875
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 860.95971875
transcript.pyannote[336].end 860.99346875
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 860.99346875
transcript.pyannote[337].end 861.02721875
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 861.02721875
transcript.pyannote[338].end 861.46596875
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 861.46596875
transcript.pyannote[339].end 861.48284375
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 861.48284375
transcript.pyannote[340].end 861.51659375
transcript.pyannote[341].speaker SPEAKER_03
transcript.pyannote[341].start 862.10721875
transcript.pyannote[341].end 862.20846875
transcript.pyannote[342].speaker SPEAKER_03
transcript.pyannote[342].start 862.59659375
transcript.pyannote[342].end 862.61346875
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 862.61346875
transcript.pyannote[343].end 867.27096875
transcript.pyannote[344].speaker SPEAKER_03
transcript.pyannote[344].start 862.63034375
transcript.pyannote[344].end 865.09409375
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 867.59159375
transcript.pyannote[345].end 871.84409375
transcript.pyannote[346].speaker SPEAKER_01
transcript.pyannote[346].start 871.96221875
transcript.pyannote[346].end 872.72159375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 872.92409375
transcript.pyannote[347].end 874.15596875
transcript.pyannote[348].speaker SPEAKER_01
transcript.pyannote[348].start 874.24034375
transcript.pyannote[348].end 875.62409375
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 875.97846875
transcript.pyannote[349].end 881.86784375
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 882.17159375
transcript.pyannote[350].end 884.71971875
transcript.pyannote[351].speaker SPEAKER_01
transcript.pyannote[351].start 884.88846875
transcript.pyannote[351].end 885.83346875
transcript.pyannote[352].speaker SPEAKER_01
transcript.pyannote[352].start 885.98534375
transcript.pyannote[352].end 888.66846875
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 888.85409375
transcript.pyannote[353].end 889.51221875
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 889.98471875
transcript.pyannote[354].end 891.94221875
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 891.95909375
transcript.pyannote[355].end 892.26284375
transcript.pyannote[356].speaker SPEAKER_01
transcript.pyannote[356].start 892.26284375
transcript.pyannote[356].end 894.70971875
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 895.09784375
transcript.pyannote[357].end 896.75159375
transcript.pyannote[358].speaker SPEAKER_01
transcript.pyannote[358].start 896.93721875
transcript.pyannote[358].end 900.43034375
transcript.pyannote[359].speaker SPEAKER_01
transcript.pyannote[359].start 900.70034375
transcript.pyannote[359].end 902.28659375
transcript.pyannote[360].speaker SPEAKER_01
transcript.pyannote[360].start 902.87721875
transcript.pyannote[360].end 903.61971875
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 903.75471875
transcript.pyannote[361].end 906.38721875
transcript.pyannote[362].speaker SPEAKER_01
transcript.pyannote[362].start 906.57284375
transcript.pyannote[362].end 909.67784375
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 909.67784375
transcript.pyannote[363].end 909.82971875
transcript.pyannote[364].speaker SPEAKER_01
transcript.pyannote[364].start 909.82971875
transcript.pyannote[364].end 909.96471875
transcript.pyannote[365].speaker SPEAKER_03
transcript.pyannote[365].start 909.96471875
transcript.pyannote[365].end 915.65159375
transcript.pyannote[366].speaker SPEAKER_03
transcript.pyannote[366].start 916.07346875
transcript.pyannote[366].end 921.72659375
transcript.pyannote[367].speaker SPEAKER_00
transcript.pyannote[367].start 916.51221875
transcript.pyannote[367].end 916.54596875
transcript.pyannote[368].speaker SPEAKER_01
transcript.pyannote[368].start 916.54596875
transcript.pyannote[368].end 917.96346875
transcript.pyannote[369].speaker SPEAKER_03
transcript.pyannote[369].start 921.89534375
transcript.pyannote[369].end 932.03721875
transcript.pyannote[370].speaker SPEAKER_01
transcript.pyannote[370].start 925.42221875
transcript.pyannote[370].end 926.70471875
transcript.pyannote[371].speaker SPEAKER_01
transcript.pyannote[371].start 932.03721875
transcript.pyannote[371].end 932.44221875
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 932.44221875
transcript.pyannote[372].end 932.54346875
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 932.66159375
transcript.pyannote[373].end 932.74596875
transcript.pyannote[374].speaker SPEAKER_01
transcript.pyannote[374].start 932.74596875
transcript.pyannote[374].end 946.92096875
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 936.17159375
transcript.pyannote[375].end 936.82971875
transcript.pyannote[376].speaker SPEAKER_03
transcript.pyannote[376].start 936.82971875
transcript.pyannote[376].end 936.88034375
transcript.pyannote[377].speaker SPEAKER_01
transcript.pyannote[377].start 947.02221875
transcript.pyannote[377].end 947.71409375
transcript.pyannote[378].speaker SPEAKER_01
transcript.pyannote[378].start 948.05159375
transcript.pyannote[378].end 952.47284375
transcript.pyannote[379].speaker SPEAKER_01
transcript.pyannote[379].start 952.72596875
transcript.pyannote[379].end 957.40034375
transcript.pyannote[380].speaker SPEAKER_01
transcript.pyannote[380].start 957.50159375
transcript.pyannote[380].end 959.96534375
transcript.pyannote[381].speaker SPEAKER_03
transcript.pyannote[381].start 959.96534375
transcript.pyannote[381].end 974.24159375
transcript.pyannote[382].speaker SPEAKER_01
transcript.pyannote[382].start 965.44971875
transcript.pyannote[382].end 966.25971875
transcript.pyannote[383].speaker SPEAKER_03
transcript.pyannote[383].start 974.66346875
transcript.pyannote[383].end 975.65909375
transcript.pyannote[384].speaker SPEAKER_03
transcript.pyannote[384].start 976.31721875
transcript.pyannote[384].end 979.70909375
transcript.pyannote[385].speaker SPEAKER_03
transcript.pyannote[385].start 979.77659375
transcript.pyannote[385].end 995.90909375
transcript.pyannote[386].speaker SPEAKER_00
transcript.pyannote[386].start 979.99596875
transcript.pyannote[386].end 981.10971875
transcript.pyannote[387].speaker SPEAKER_01
transcript.pyannote[387].start 983.11784375
transcript.pyannote[387].end 983.23596875
transcript.pyannote[388].speaker SPEAKER_00
transcript.pyannote[388].start 983.23596875
transcript.pyannote[388].end 983.97846875
transcript.pyannote[389].speaker SPEAKER_01
transcript.pyannote[389].start 983.97846875
transcript.pyannote[389].end 984.40034375
transcript.pyannote[390].speaker SPEAKER_01
transcript.pyannote[390].start 985.02471875
transcript.pyannote[390].end 986.64471875
transcript.pyannote[391].speaker SPEAKER_01
transcript.pyannote[391].start 986.93159375
transcript.pyannote[391].end 986.96534375
transcript.pyannote[392].speaker SPEAKER_03
transcript.pyannote[392].start 996.97221875
transcript.pyannote[392].end 999.80721875
transcript.pyannote[393].speaker SPEAKER_03
transcript.pyannote[393].start 999.92534375
transcript.pyannote[393].end 1002.03471875
transcript.pyannote[394].speaker SPEAKER_03
transcript.pyannote[394].start 1002.37221875
transcript.pyannote[394].end 1002.97971875
transcript.pyannote[395].speaker SPEAKER_03
transcript.pyannote[395].start 1004.41409375
transcript.pyannote[395].end 1007.04659375
transcript.pyannote[396].speaker SPEAKER_03
transcript.pyannote[396].start 1008.16034375
transcript.pyannote[396].end 1008.86909375
transcript.pyannote[397].speaker SPEAKER_03
transcript.pyannote[397].start 1009.39221875
transcript.pyannote[397].end 1010.75909375
transcript.pyannote[398].speaker SPEAKER_03
transcript.pyannote[398].start 1011.38346875
transcript.pyannote[398].end 1012.63221875
transcript.pyannote[399].speaker SPEAKER_03
transcript.pyannote[399].start 1013.02034375
transcript.pyannote[399].end 1015.09596875
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 1015.68659375
transcript.pyannote[400].end 1016.96909375
transcript.pyannote[401].speaker SPEAKER_03
transcript.pyannote[401].start 1018.18409375
transcript.pyannote[401].end 1021.50846875
transcript.pyannote[402].speaker SPEAKER_03
transcript.pyannote[402].start 1021.89659375
transcript.pyannote[402].end 1022.99346875
transcript.pyannote[403].speaker SPEAKER_03
transcript.pyannote[403].start 1023.56721875
transcript.pyannote[403].end 1024.84971875
transcript.pyannote[404].speaker SPEAKER_03
transcript.pyannote[404].start 1027.04346875
transcript.pyannote[404].end 1028.02221875
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 1028.68034375
transcript.pyannote[405].end 1037.50596875
transcript.pyannote[406].speaker SPEAKER_03
transcript.pyannote[406].start 1037.70846875
transcript.pyannote[406].end 1039.95284375
transcript.pyannote[407].speaker SPEAKER_03
transcript.pyannote[407].start 1040.57721875
transcript.pyannote[407].end 1042.28159375
transcript.pyannote[408].speaker SPEAKER_03
transcript.pyannote[408].start 1042.53471875
transcript.pyannote[408].end 1042.60221875
transcript.pyannote[409].speaker SPEAKER_00
transcript.pyannote[409].start 1042.60221875
transcript.pyannote[409].end 1042.63596875
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 1042.63596875
transcript.pyannote[410].end 1043.76659375
transcript.pyannote[411].speaker SPEAKER_03
transcript.pyannote[411].start 1044.42471875
transcript.pyannote[411].end 1044.82971875
transcript.pyannote[412].speaker SPEAKER_03
transcript.pyannote[412].start 1045.52159375
transcript.pyannote[412].end 1046.01096875
transcript.pyannote[413].speaker SPEAKER_03
transcript.pyannote[413].start 1046.38221875
transcript.pyannote[413].end 1046.80409375
transcript.pyannote[414].speaker SPEAKER_03
transcript.pyannote[414].start 1047.02346875
transcript.pyannote[414].end 1047.66471875
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 1047.69846875
transcript.pyannote[415].end 1048.57596875
transcript.pyannote[416].speaker SPEAKER_03
transcript.pyannote[416].start 1049.75721875
transcript.pyannote[416].end 1051.03971875
transcript.pyannote[417].speaker SPEAKER_00
transcript.pyannote[417].start 1051.54596875
transcript.pyannote[417].end 1051.95096875
transcript.pyannote[418].speaker SPEAKER_03
transcript.pyannote[418].start 1051.74846875
transcript.pyannote[418].end 1052.98034375
transcript.pyannote[419].speaker SPEAKER_03
transcript.pyannote[419].start 1053.21659375
transcript.pyannote[419].end 1054.78596875
transcript.pyannote[420].speaker SPEAKER_03
transcript.pyannote[420].start 1055.14034375
transcript.pyannote[420].end 1056.49034375
transcript.pyannote[421].speaker SPEAKER_03
transcript.pyannote[421].start 1057.30034375
transcript.pyannote[421].end 1060.81034375
transcript.pyannote[422].speaker SPEAKER_03
transcript.pyannote[422].start 1061.18159375
transcript.pyannote[422].end 1063.08846875
transcript.pyannote[423].speaker SPEAKER_03
transcript.pyannote[423].start 1063.74659375
transcript.pyannote[423].end 1064.47221875
transcript.pyannote[424].speaker SPEAKER_03
transcript.pyannote[424].start 1064.79284375
transcript.pyannote[424].end 1066.26096875
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 1067.89784375
transcript.pyannote[425].end 1070.69909375
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 1070.85096875
transcript.pyannote[426].end 1072.43721875
transcript.pyannote[427].speaker SPEAKER_03
transcript.pyannote[427].start 1072.53846875
transcript.pyannote[427].end 1075.60971875
transcript.pyannote[428].speaker SPEAKER_03
transcript.pyannote[428].start 1076.13284375
transcript.pyannote[428].end 1077.39846875
transcript.pyannote[429].speaker SPEAKER_01
transcript.pyannote[429].start 1078.32659375
transcript.pyannote[429].end 1084.04721875
transcript.pyannote[430].speaker SPEAKER_03
transcript.pyannote[430].start 1083.18659375
transcript.pyannote[430].end 1086.40971875
transcript.pyannote[431].speaker SPEAKER_01
transcript.pyannote[431].start 1086.00471875
transcript.pyannote[431].end 1092.90659375
transcript.pyannote[432].speaker SPEAKER_03
transcript.pyannote[432].start 1086.67971875
transcript.pyannote[432].end 1087.21971875
transcript.pyannote[433].speaker SPEAKER_03
transcript.pyannote[433].start 1091.82659375
transcript.pyannote[433].end 1093.73346875
transcript.pyannote[434].speaker SPEAKER_01
transcript.pyannote[434].start 1093.73346875
transcript.pyannote[434].end 1093.91909375
transcript.pyannote[435].speaker SPEAKER_03
transcript.pyannote[435].start 1093.91909375
transcript.pyannote[435].end 1094.05409375
transcript.pyannote[436].speaker SPEAKER_01
transcript.pyannote[436].start 1094.05409375
transcript.pyannote[436].end 1094.22284375
transcript.pyannote[437].speaker SPEAKER_03
transcript.pyannote[437].start 1094.22284375
transcript.pyannote[437].end 1094.27346875
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 1094.27346875
transcript.pyannote[438].end 1094.49284375
transcript.pyannote[439].speaker SPEAKER_03
transcript.pyannote[439].start 1094.49284375
transcript.pyannote[439].end 1094.52659375
transcript.pyannote[440].speaker SPEAKER_01
transcript.pyannote[440].start 1094.52659375
transcript.pyannote[440].end 1097.56409375
transcript.pyannote[441].speaker SPEAKER_03
transcript.pyannote[441].start 1094.66159375
transcript.pyannote[441].end 1095.25221875
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 1095.92721875
transcript.pyannote[442].end 1096.06221875
transcript.pyannote[443].speaker SPEAKER_02
transcript.pyannote[443].start 1096.06221875
transcript.pyannote[443].end 1096.53471875
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 1096.53471875
transcript.pyannote[444].end 1096.63596875
transcript.pyannote[445].speaker SPEAKER_02
transcript.pyannote[445].start 1096.63596875
transcript.pyannote[445].end 1096.80471875
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 1096.80471875
transcript.pyannote[446].end 1096.92284375
transcript.pyannote[447].speaker SPEAKER_02
transcript.pyannote[447].start 1096.92284375
transcript.pyannote[447].end 1097.95221875
transcript.pyannote[448].speaker SPEAKER_01
transcript.pyannote[448].start 1097.95221875
transcript.pyannote[448].end 1097.96909375
transcript.pyannote[449].speaker SPEAKER_02
transcript.pyannote[449].start 1097.96909375
transcript.pyannote[449].end 1098.03659375
transcript.pyannote[450].speaker SPEAKER_01
transcript.pyannote[450].start 1098.03659375
transcript.pyannote[450].end 1098.13784375
transcript.pyannote[451].speaker SPEAKER_01
transcript.pyannote[451].start 1098.66096875
transcript.pyannote[451].end 1110.82784375
transcript.pyannote[452].speaker SPEAKER_01
transcript.pyannote[452].start 1111.11471875
transcript.pyannote[452].end 1112.31284375
transcript.pyannote[453].speaker SPEAKER_01
transcript.pyannote[453].start 1112.48159375
transcript.pyannote[453].end 1114.35471875
transcript.pyannote[454].speaker SPEAKER_01
transcript.pyannote[454].start 1114.57409375
transcript.pyannote[454].end 1115.19846875
transcript.pyannote[455].speaker SPEAKER_01
transcript.pyannote[455].start 1115.55284375
transcript.pyannote[455].end 1118.05034375
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 1118.72534375
transcript.pyannote[456].end 1120.63221875
transcript.pyannote[457].speaker SPEAKER_03
transcript.pyannote[457].start 1121.42534375
transcript.pyannote[457].end 1127.34846875
transcript.pyannote[458].speaker SPEAKER_03
transcript.pyannote[458].start 1127.73659375
transcript.pyannote[458].end 1128.71534375
transcript.pyannote[459].speaker SPEAKER_01
transcript.pyannote[459].start 1129.74471875
transcript.pyannote[459].end 1129.87971875
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 1129.87971875
transcript.pyannote[460].end 1132.51221875
transcript.pyannote[461].speaker SPEAKER_01
transcript.pyannote[461].start 1129.91346875
transcript.pyannote[461].end 1132.32659375
transcript.pyannote[462].speaker SPEAKER_03
transcript.pyannote[462].start 1132.68096875
transcript.pyannote[462].end 1137.77721875
transcript.pyannote[463].speaker SPEAKER_01
transcript.pyannote[463].start 1135.19534375
transcript.pyannote[463].end 1136.69721875
transcript.pyannote[464].speaker SPEAKER_01
transcript.pyannote[464].start 1137.77721875
transcript.pyannote[464].end 1138.65471875
transcript.pyannote[465].speaker SPEAKER_03
transcript.pyannote[465].start 1137.82784375
transcript.pyannote[465].end 1138.53659375
transcript.pyannote[466].speaker SPEAKER_03
transcript.pyannote[466].start 1138.65471875
transcript.pyannote[466].end 1138.75596875
transcript.pyannote[467].speaker SPEAKER_01
transcript.pyannote[467].start 1138.75596875
transcript.pyannote[467].end 1141.35471875
transcript.pyannote[468].speaker SPEAKER_01
transcript.pyannote[468].start 1141.94534375
transcript.pyannote[468].end 1143.66659375
transcript.pyannote[469].speaker SPEAKER_01
transcript.pyannote[469].start 1143.97034375
transcript.pyannote[469].end 1156.62659375
transcript.pyannote[470].speaker SPEAKER_01
transcript.pyannote[470].start 1156.94721875
transcript.pyannote[470].end 1164.77721875
transcript.pyannote[471].speaker SPEAKER_03
transcript.pyannote[471].start 1163.81534375
transcript.pyannote[471].end 1165.45221875
transcript.pyannote[472].speaker SPEAKER_03
transcript.pyannote[472].start 1165.89096875
transcript.pyannote[472].end 1174.49721875
transcript.pyannote[473].speaker SPEAKER_01
transcript.pyannote[473].start 1170.07596875
transcript.pyannote[473].end 1172.21909375
transcript.pyannote[474].speaker SPEAKER_00
transcript.pyannote[474].start 1172.21909375
transcript.pyannote[474].end 1172.25284375
transcript.pyannote[475].speaker SPEAKER_03
transcript.pyannote[475].start 1175.15534375
transcript.pyannote[475].end 1177.02846875
transcript.pyannote[476].speaker SPEAKER_03
transcript.pyannote[476].start 1177.75409375
transcript.pyannote[476].end 1186.84971875
transcript.pyannote[477].speaker SPEAKER_00
transcript.pyannote[477].start 1178.90159375
transcript.pyannote[477].end 1180.03221875
transcript.pyannote[478].speaker SPEAKER_02
transcript.pyannote[478].start 1180.03221875
transcript.pyannote[478].end 1180.79159375
transcript.pyannote[479].speaker SPEAKER_00
transcript.pyannote[479].start 1180.79159375
transcript.pyannote[479].end 1180.82534375
transcript.pyannote[480].speaker SPEAKER_02
transcript.pyannote[480].start 1182.91784375
transcript.pyannote[480].end 1185.12846875
transcript.pyannote[481].speaker SPEAKER_02
transcript.pyannote[481].start 1186.47846875
transcript.pyannote[481].end 1186.83284375
transcript.pyannote[482].speaker SPEAKER_02
transcript.pyannote[482].start 1186.84971875
transcript.pyannote[482].end 1187.03534375
transcript.pyannote[483].speaker SPEAKER_03
transcript.pyannote[483].start 1187.03534375
transcript.pyannote[483].end 1187.05221875
transcript.pyannote[484].speaker SPEAKER_03
transcript.pyannote[484].start 1187.23784375
transcript.pyannote[484].end 1189.54971875
transcript.pyannote[485].speaker SPEAKER_03
transcript.pyannote[485].start 1190.24159375
transcript.pyannote[485].end 1191.15284375
transcript.pyannote[486].speaker SPEAKER_03
transcript.pyannote[486].start 1191.57471875
transcript.pyannote[486].end 1193.43096875
transcript.pyannote[487].speaker SPEAKER_03
transcript.pyannote[487].start 1194.10596875
transcript.pyannote[487].end 1195.84409375
transcript.pyannote[488].speaker SPEAKER_03
transcript.pyannote[488].start 1196.28284375
transcript.pyannote[488].end 1199.01659375
transcript.pyannote[489].speaker SPEAKER_03
transcript.pyannote[489].start 1199.80971875
transcript.pyannote[489].end 1202.69534375
transcript.pyannote[490].speaker SPEAKER_03
transcript.pyannote[490].start 1203.48846875
transcript.pyannote[490].end 1205.04096875
transcript.pyannote[491].speaker SPEAKER_03
transcript.pyannote[491].start 1206.32346875
transcript.pyannote[491].end 1221.02159375
transcript.pyannote[492].speaker SPEAKER_00
transcript.pyannote[492].start 1215.67221875
transcript.pyannote[492].end 1216.11096875
transcript.pyannote[493].speaker SPEAKER_01
transcript.pyannote[493].start 1216.11096875
transcript.pyannote[493].end 1216.12784375
transcript.pyannote[494].speaker SPEAKER_01
transcript.pyannote[494].start 1216.71846875
transcript.pyannote[494].end 1217.00534375
transcript.pyannote[495].speaker SPEAKER_03
transcript.pyannote[495].start 1221.49409375
transcript.pyannote[495].end 1225.56096875
transcript.pyannote[496].speaker SPEAKER_03
transcript.pyannote[496].start 1225.71284375
transcript.pyannote[496].end 1226.91096875
transcript.pyannote[497].speaker SPEAKER_03
transcript.pyannote[497].start 1227.14721875
transcript.pyannote[497].end 1227.99096875
transcript.pyannote[498].speaker SPEAKER_03
transcript.pyannote[498].start 1229.84721875
transcript.pyannote[498].end 1230.43784375
transcript.pyannote[499].speaker SPEAKER_03
transcript.pyannote[499].start 1231.60221875
transcript.pyannote[499].end 1233.37409375
transcript.pyannote[500].speaker SPEAKER_03
transcript.pyannote[500].start 1234.09971875
transcript.pyannote[500].end 1235.33159375
transcript.pyannote[501].speaker SPEAKER_03
transcript.pyannote[501].start 1236.22596875
transcript.pyannote[501].end 1239.17909375
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 1239.17909375
transcript.pyannote[502].end 1239.22971875
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 1239.61784375
transcript.pyannote[503].end 1239.63471875
transcript.pyannote[504].speaker SPEAKER_03
transcript.pyannote[504].start 1239.63471875
transcript.pyannote[504].end 1241.37284375
transcript.pyannote[505].speaker SPEAKER_03
transcript.pyannote[505].start 1241.69346875
transcript.pyannote[505].end 1243.14471875
transcript.pyannote[506].speaker SPEAKER_03
transcript.pyannote[506].start 1244.83221875
transcript.pyannote[506].end 1247.07659375
transcript.pyannote[507].speaker SPEAKER_03
transcript.pyannote[507].start 1248.22409375
transcript.pyannote[507].end 1249.50659375
transcript.pyannote[508].speaker SPEAKER_03
transcript.pyannote[508].start 1249.62471875
transcript.pyannote[508].end 1250.77221875
transcript.pyannote[509].speaker SPEAKER_03
transcript.pyannote[509].start 1252.32471875
transcript.pyannote[509].end 1253.35409375
transcript.pyannote[510].speaker SPEAKER_03
transcript.pyannote[510].start 1254.26534375
transcript.pyannote[510].end 1255.64909375
transcript.pyannote[511].speaker SPEAKER_03
transcript.pyannote[511].start 1256.34096875
transcript.pyannote[511].end 1256.69534375
transcript.pyannote[512].speaker SPEAKER_03
transcript.pyannote[512].start 1257.58971875
transcript.pyannote[512].end 1258.29846875
transcript.pyannote[513].speaker SPEAKER_03
transcript.pyannote[513].start 1258.31534375
transcript.pyannote[513].end 1258.34909375
transcript.pyannote[514].speaker SPEAKER_01
transcript.pyannote[514].start 1258.34909375
transcript.pyannote[514].end 1259.85096875
transcript.pyannote[515].speaker SPEAKER_03
transcript.pyannote[515].start 1259.04096875
transcript.pyannote[515].end 1260.64409375
transcript.pyannote[516].speaker SPEAKER_01
transcript.pyannote[516].start 1260.18846875
transcript.pyannote[516].end 1262.33159375
transcript.pyannote[517].speaker SPEAKER_03
transcript.pyannote[517].start 1262.33159375
transcript.pyannote[517].end 1262.34846875
transcript.pyannote[518].speaker SPEAKER_01
transcript.pyannote[518].start 1263.31034375
transcript.pyannote[518].end 1263.32721875
transcript.pyannote[519].speaker SPEAKER_03
transcript.pyannote[519].start 1263.32721875
transcript.pyannote[519].end 1263.93471875
transcript.pyannote[520].speaker SPEAKER_01
transcript.pyannote[520].start 1264.87971875
transcript.pyannote[520].end 1264.89659375
transcript.pyannote[521].speaker SPEAKER_03
transcript.pyannote[521].start 1264.89659375
transcript.pyannote[521].end 1269.50346875
transcript.pyannote[522].speaker SPEAKER_00
transcript.pyannote[522].start 1264.96409375
transcript.pyannote[522].end 1265.23409375
transcript.pyannote[523].speaker SPEAKER_00
transcript.pyannote[523].start 1270.11096875
transcript.pyannote[523].end 1270.41471875
transcript.pyannote[524].speaker SPEAKER_03
transcript.pyannote[524].start 1270.41471875
transcript.pyannote[524].end 1271.62971875
transcript.pyannote[525].speaker SPEAKER_03
transcript.pyannote[525].start 1271.93346875
transcript.pyannote[525].end 1272.87846875
transcript.pyannote[526].speaker SPEAKER_03
transcript.pyannote[526].start 1273.78971875
transcript.pyannote[526].end 1275.35909375
transcript.pyannote[527].speaker SPEAKER_03
transcript.pyannote[527].start 1275.46034375
transcript.pyannote[527].end 1275.79784375
transcript.pyannote[528].speaker SPEAKER_03
transcript.pyannote[528].start 1276.05096875
transcript.pyannote[528].end 1278.29534375
transcript.pyannote[529].speaker SPEAKER_03
transcript.pyannote[529].start 1278.90284375
transcript.pyannote[529].end 1281.43409375
transcript.pyannote[530].speaker SPEAKER_03
transcript.pyannote[530].start 1281.77159375
transcript.pyannote[530].end 1284.53909375
transcript.pyannote[531].speaker SPEAKER_03
transcript.pyannote[531].start 1286.24346875
transcript.pyannote[531].end 1291.98096875
transcript.pyannote[532].speaker SPEAKER_03
transcript.pyannote[532].start 1292.35221875
transcript.pyannote[532].end 1293.38159375
transcript.pyannote[533].speaker SPEAKER_03
transcript.pyannote[533].start 1294.17471875
transcript.pyannote[533].end 1297.02659375
transcript.pyannote[534].speaker SPEAKER_01
transcript.pyannote[534].start 1297.02659375
transcript.pyannote[534].end 1298.02221875
transcript.pyannote[535].speaker SPEAKER_03
transcript.pyannote[535].start 1298.76471875
transcript.pyannote[535].end 1298.78159375
transcript.pyannote[536].speaker SPEAKER_01
transcript.pyannote[536].start 1298.78159375
transcript.pyannote[536].end 1302.98346875
transcript.pyannote[537].speaker SPEAKER_01
transcript.pyannote[537].start 1303.47284375
transcript.pyannote[537].end 1307.59034375
transcript.pyannote[538].speaker SPEAKER_03
transcript.pyannote[538].start 1306.47659375
transcript.pyannote[538].end 1312.06221875
transcript.pyannote[539].speaker SPEAKER_03
transcript.pyannote[539].start 1314.34034375
transcript.pyannote[539].end 1320.76971875
transcript.pyannote[540].speaker SPEAKER_01
transcript.pyannote[540].start 1314.37409375
transcript.pyannote[540].end 1318.17096875
transcript.pyannote[541].speaker SPEAKER_01
transcript.pyannote[541].start 1320.28034375
transcript.pyannote[541].end 1336.21034375
transcript.pyannote[542].speaker SPEAKER_03
transcript.pyannote[542].start 1321.00596875
transcript.pyannote[542].end 1321.41096875
transcript.pyannote[543].speaker SPEAKER_02
transcript.pyannote[543].start 1321.41096875
transcript.pyannote[543].end 1321.46159375
transcript.pyannote[544].speaker SPEAKER_03
transcript.pyannote[544].start 1321.83284375
transcript.pyannote[544].end 1322.79471875
transcript.pyannote[545].speaker SPEAKER_02
transcript.pyannote[545].start 1322.79471875
transcript.pyannote[545].end 1322.81159375
transcript.pyannote[546].speaker SPEAKER_03
transcript.pyannote[546].start 1331.58659375
transcript.pyannote[546].end 1331.82284375
transcript.pyannote[547].speaker SPEAKER_03
transcript.pyannote[547].start 1336.44659375
transcript.pyannote[547].end 1336.88534375
transcript.pyannote[548].speaker SPEAKER_03
transcript.pyannote[548].start 1337.37471875
transcript.pyannote[548].end 1339.48409375
transcript.pyannote[549].speaker SPEAKER_03
transcript.pyannote[549].start 1339.88909375
transcript.pyannote[549].end 1344.44534375
transcript.pyannote[550].speaker SPEAKER_03
transcript.pyannote[550].start 1344.95159375
transcript.pyannote[550].end 1349.52471875
transcript.pyannote[551].speaker SPEAKER_03
transcript.pyannote[551].start 1349.72721875
transcript.pyannote[551].end 1351.34721875
transcript.pyannote[552].speaker SPEAKER_03
transcript.pyannote[552].start 1352.14034375
transcript.pyannote[552].end 1353.35534375
transcript.pyannote[553].speaker SPEAKER_03
transcript.pyannote[553].start 1353.86159375
transcript.pyannote[553].end 1355.16096875
transcript.pyannote[554].speaker SPEAKER_03
transcript.pyannote[554].start 1355.54909375
transcript.pyannote[554].end 1364.83034375
transcript.pyannote[555].speaker SPEAKER_01
transcript.pyannote[555].start 1355.68409375
transcript.pyannote[555].end 1357.37159375
transcript.pyannote[556].speaker SPEAKER_00
transcript.pyannote[556].start 1358.82284375
transcript.pyannote[556].end 1359.02534375
transcript.pyannote[557].speaker SPEAKER_01
transcript.pyannote[557].start 1359.02534375
transcript.pyannote[557].end 1362.68721875
transcript.pyannote[558].speaker SPEAKER_01
transcript.pyannote[558].start 1365.57284375
transcript.pyannote[558].end 1370.02784375
transcript.pyannote[559].speaker SPEAKER_01
transcript.pyannote[559].start 1370.58471875
transcript.pyannote[559].end 1372.15409375
transcript.pyannote[560].speaker SPEAKER_03
transcript.pyannote[560].start 1371.51284375
transcript.pyannote[560].end 1373.14971875
transcript.pyannote[561].speaker SPEAKER_02
transcript.pyannote[561].start 1374.16221875
transcript.pyannote[561].end 1374.21284375
transcript.pyannote[562].speaker SPEAKER_03
transcript.pyannote[562].start 1374.21284375
transcript.pyannote[562].end 1375.30971875
transcript.pyannote[563].speaker SPEAKER_03
transcript.pyannote[563].start 1376.30534375
transcript.pyannote[563].end 1379.07284375
transcript.pyannote[564].speaker SPEAKER_03
transcript.pyannote[564].start 1379.49471875
transcript.pyannote[564].end 1381.09784375
transcript.pyannote[565].speaker SPEAKER_03
transcript.pyannote[565].start 1381.33409375
transcript.pyannote[565].end 1384.21971875
transcript.pyannote[566].speaker SPEAKER_03
transcript.pyannote[566].start 1384.84409375
transcript.pyannote[566].end 1386.75096875
transcript.pyannote[567].speaker SPEAKER_03
transcript.pyannote[567].start 1386.86909375
transcript.pyannote[567].end 1390.37909375
transcript.pyannote[568].speaker SPEAKER_03
transcript.pyannote[568].start 1391.77971875
transcript.pyannote[568].end 1396.25159375
transcript.pyannote[569].speaker SPEAKER_01
transcript.pyannote[569].start 1394.58096875
transcript.pyannote[569].end 1397.63534375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 1397.16284375
transcript.pyannote[570].end 1402.46159375
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 1398.49596875
transcript.pyannote[571].end 1398.88409375
transcript.pyannote[572].speaker SPEAKER_01
transcript.pyannote[572].start 1399.76159375
transcript.pyannote[572].end 1400.06534375
transcript.pyannote[573].speaker SPEAKER_01
transcript.pyannote[573].start 1402.90034375
transcript.pyannote[573].end 1402.91721875
transcript.pyannote[574].speaker SPEAKER_03
transcript.pyannote[574].start 1402.91721875
transcript.pyannote[574].end 1404.19971875
transcript.pyannote[575].speaker SPEAKER_01
transcript.pyannote[575].start 1402.93409375
transcript.pyannote[575].end 1408.57034375
transcript.pyannote[576].speaker SPEAKER_03
transcript.pyannote[576].start 1407.76034375
transcript.pyannote[576].end 1410.96659375
transcript.pyannote[577].speaker SPEAKER_03
transcript.pyannote[577].start 1411.20284375
transcript.pyannote[577].end 1411.91159375
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 1411.50659375
transcript.pyannote[578].end 1437.07221875
transcript.pyannote[579].speaker SPEAKER_00
transcript.pyannote[579].start 1425.51284375
transcript.pyannote[579].end 1425.64784375
transcript.pyannote[580].speaker SPEAKER_01
transcript.pyannote[580].start 1437.32534375
transcript.pyannote[580].end 1445.62784375
transcript.pyannote[581].speaker SPEAKER_01
transcript.pyannote[581].start 1445.72909375
transcript.pyannote[581].end 1458.13221875
transcript.pyannote[582].speaker SPEAKER_01
transcript.pyannote[582].start 1458.36846875
transcript.pyannote[582].end 1459.16159375
transcript.pyannote[583].speaker SPEAKER_01
transcript.pyannote[583].start 1459.54971875
transcript.pyannote[583].end 1465.50659375
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 1465.96221875
transcript.pyannote[584].end 1467.24471875
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 1467.34596875
transcript.pyannote[585].end 1474.82159375
transcript.pyannote[586].speaker SPEAKER_03
transcript.pyannote[586].start 1475.27721875
transcript.pyannote[586].end 1475.31096875
transcript.pyannote[587].speaker SPEAKER_01
transcript.pyannote[587].start 1475.31096875
transcript.pyannote[587].end 1475.53034375
transcript.pyannote[588].speaker SPEAKER_03
transcript.pyannote[588].start 1475.53034375
transcript.pyannote[588].end 1475.63159375
transcript.pyannote[589].speaker SPEAKER_03
transcript.pyannote[589].start 1476.54284375
transcript.pyannote[589].end 1478.36534375
transcript.pyannote[590].speaker SPEAKER_03
transcript.pyannote[590].start 1478.82096875
transcript.pyannote[590].end 1485.30096875
transcript.pyannote[591].speaker SPEAKER_03
transcript.pyannote[591].start 1485.57096875
transcript.pyannote[591].end 1489.40159375
transcript.pyannote[592].speaker SPEAKER_03
transcript.pyannote[592].start 1490.24534375
transcript.pyannote[592].end 1496.52284375
transcript.pyannote[593].speaker SPEAKER_01
transcript.pyannote[593].start 1494.34596875
transcript.pyannote[593].end 1496.55659375
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 1496.55659375
transcript.pyannote[594].end 1496.62409375
transcript.pyannote[595].speaker SPEAKER_01
transcript.pyannote[595].start 1496.62409375
transcript.pyannote[595].end 1496.69159375
transcript.pyannote[596].speaker SPEAKER_03
transcript.pyannote[596].start 1496.69159375
transcript.pyannote[596].end 1500.38721875
transcript.pyannote[597].speaker SPEAKER_03
transcript.pyannote[597].start 1500.82596875
transcript.pyannote[597].end 1501.90596875
transcript.pyannote[598].speaker SPEAKER_03
transcript.pyannote[598].start 1502.80034375
transcript.pyannote[598].end 1503.94784375
transcript.pyannote[599].speaker SPEAKER_03
transcript.pyannote[599].start 1504.58909375
transcript.pyannote[599].end 1507.96409375
transcript.pyannote[600].speaker SPEAKER_03
transcript.pyannote[600].start 1508.43659375
transcript.pyannote[600].end 1511.67659375
transcript.pyannote[601].speaker SPEAKER_00
transcript.pyannote[601].start 1508.47034375
transcript.pyannote[601].end 1510.88346875
transcript.pyannote[602].speaker SPEAKER_03
transcript.pyannote[602].start 1511.84534375
transcript.pyannote[602].end 1512.77346875
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 1513.65096875
transcript.pyannote[603].end 1519.45596875
transcript.pyannote[604].speaker SPEAKER_03
transcript.pyannote[604].start 1519.94534375
transcript.pyannote[604].end 1522.47659375
transcript.pyannote[605].speaker SPEAKER_03
transcript.pyannote[605].start 1523.67471875
transcript.pyannote[605].end 1524.14721875
transcript.pyannote[606].speaker SPEAKER_03
transcript.pyannote[606].start 1524.97409375
transcript.pyannote[606].end 1525.96971875
transcript.pyannote[607].speaker SPEAKER_03
transcript.pyannote[607].start 1527.72471875
transcript.pyannote[607].end 1527.80909375
transcript.pyannote[608].speaker SPEAKER_01
transcript.pyannote[608].start 1527.80909375
transcript.pyannote[608].end 1536.85409375
transcript.pyannote[609].speaker SPEAKER_03
transcript.pyannote[609].start 1527.84284375
transcript.pyannote[609].end 1531.96034375
transcript.pyannote[610].speaker SPEAKER_01
transcript.pyannote[610].start 1537.61346875
transcript.pyannote[610].end 1538.84534375
transcript.pyannote[611].speaker SPEAKER_01
transcript.pyannote[611].start 1539.09846875
transcript.pyannote[611].end 1547.04659375
transcript.pyannote[612].speaker SPEAKER_00
transcript.pyannote[612].start 1547.04659375
transcript.pyannote[612].end 1547.35034375
transcript.pyannote[613].speaker SPEAKER_01
transcript.pyannote[613].start 1547.35034375
transcript.pyannote[613].end 1553.03721875
transcript.pyannote[614].speaker SPEAKER_01
transcript.pyannote[614].start 1553.10471875
transcript.pyannote[614].end 1555.95659375
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 1556.09159375
transcript.pyannote[615].end 1558.40346875
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 1558.47096875
transcript.pyannote[616].end 1566.38534375
transcript.pyannote[617].speaker SPEAKER_00
transcript.pyannote[617].start 1564.10721875
transcript.pyannote[617].end 1564.12409375
transcript.pyannote[618].speaker SPEAKER_03
transcript.pyannote[618].start 1564.12409375
transcript.pyannote[618].end 1564.57971875
transcript.pyannote[619].speaker SPEAKER_01
transcript.pyannote[619].start 1566.68909375
transcript.pyannote[619].end 1570.38471875
transcript.pyannote[620].speaker SPEAKER_03
transcript.pyannote[620].start 1570.38471875
transcript.pyannote[620].end 1579.75034375
transcript.pyannote[621].speaker SPEAKER_01
transcript.pyannote[621].start 1573.74284375
transcript.pyannote[621].end 1576.45971875
transcript.pyannote[622].speaker SPEAKER_03
transcript.pyannote[622].start 1580.49284375
transcript.pyannote[622].end 1581.92721875
transcript.pyannote[623].speaker SPEAKER_03
transcript.pyannote[623].start 1583.00721875
transcript.pyannote[623].end 1586.51721875
transcript.pyannote[624].speaker SPEAKER_03
transcript.pyannote[624].start 1586.92221875
transcript.pyannote[624].end 1588.00221875
transcript.pyannote[625].speaker SPEAKER_03
transcript.pyannote[625].start 1588.74471875
transcript.pyannote[625].end 1590.09471875
transcript.pyannote[626].speaker SPEAKER_03
transcript.pyannote[626].start 1591.22534375
transcript.pyannote[626].end 1593.25034375
transcript.pyannote[627].speaker SPEAKER_03
transcript.pyannote[627].start 1593.77346875
transcript.pyannote[627].end 1594.70159375
transcript.pyannote[628].speaker SPEAKER_03
transcript.pyannote[628].start 1595.41034375
transcript.pyannote[628].end 1596.60846875
transcript.pyannote[629].speaker SPEAKER_03
transcript.pyannote[629].start 1597.46909375
transcript.pyannote[629].end 1598.48159375
transcript.pyannote[630].speaker SPEAKER_03
transcript.pyannote[630].start 1599.40971875
transcript.pyannote[630].end 1599.91596875
transcript.pyannote[631].speaker SPEAKER_03
transcript.pyannote[631].start 1599.98346875
transcript.pyannote[631].end 1601.63721875
transcript.pyannote[632].speaker SPEAKER_03
transcript.pyannote[632].start 1602.29534375
transcript.pyannote[632].end 1603.37534375
transcript.pyannote[633].speaker SPEAKER_03
transcript.pyannote[633].start 1603.94909375
transcript.pyannote[633].end 1604.64096875
transcript.pyannote[634].speaker SPEAKER_03
transcript.pyannote[634].start 1605.07971875
transcript.pyannote[634].end 1607.54346875
transcript.pyannote[635].speaker SPEAKER_03
transcript.pyannote[635].start 1608.01596875
transcript.pyannote[635].end 1609.83846875
transcript.pyannote[636].speaker SPEAKER_03
transcript.pyannote[636].start 1610.80034375
transcript.pyannote[636].end 1611.22221875
transcript.pyannote[637].speaker SPEAKER_03
transcript.pyannote[637].start 1611.30659375
transcript.pyannote[637].end 1611.98159375
transcript.pyannote[638].speaker SPEAKER_03
transcript.pyannote[638].start 1612.62284375
transcript.pyannote[638].end 1614.52971875
transcript.pyannote[639].speaker SPEAKER_03
transcript.pyannote[639].start 1617.07784375
transcript.pyannote[639].end 1618.25909375
transcript.pyannote[640].speaker SPEAKER_01
transcript.pyannote[640].start 1619.52471875
transcript.pyannote[640].end 1620.97596875
transcript.pyannote[641].speaker SPEAKER_03
transcript.pyannote[641].start 1620.31784375
transcript.pyannote[641].end 1625.75159375
transcript.pyannote[642].speaker SPEAKER_03
transcript.pyannote[642].start 1626.29159375
transcript.pyannote[642].end 1627.43909375
transcript.pyannote[643].speaker SPEAKER_03
transcript.pyannote[643].start 1628.82284375
transcript.pyannote[643].end 1629.48096875
transcript.pyannote[644].speaker SPEAKER_03
transcript.pyannote[644].start 1629.64971875
transcript.pyannote[644].end 1630.30784375
transcript.pyannote[645].speaker SPEAKER_03
transcript.pyannote[645].start 1631.08409375
transcript.pyannote[645].end 1631.94471875
transcript.pyannote[646].speaker SPEAKER_03
transcript.pyannote[646].start 1632.97409375
transcript.pyannote[646].end 1639.16721875
transcript.pyannote[647].speaker SPEAKER_00
transcript.pyannote[647].start 1633.90221875
transcript.pyannote[647].end 1634.62784375
transcript.pyannote[648].speaker SPEAKER_00
transcript.pyannote[648].start 1635.31971875
transcript.pyannote[648].end 1637.19284375
transcript.pyannote[649].speaker SPEAKER_03
transcript.pyannote[649].start 1640.68596875
transcript.pyannote[649].end 1643.84159375
transcript.pyannote[650].speaker SPEAKER_03
transcript.pyannote[650].start 1644.44909375
transcript.pyannote[650].end 1645.68096875
transcript.pyannote[651].speaker SPEAKER_03
transcript.pyannote[651].start 1646.94659375
transcript.pyannote[651].end 1648.24596875
transcript.pyannote[652].speaker SPEAKER_03
transcript.pyannote[652].start 1649.00534375
transcript.pyannote[652].end 1649.42721875
transcript.pyannote[653].speaker SPEAKER_03
transcript.pyannote[653].start 1649.52846875
transcript.pyannote[653].end 1650.70971875
transcript.pyannote[654].speaker SPEAKER_03
transcript.pyannote[654].start 1651.94159375
transcript.pyannote[654].end 1653.44346875
transcript.pyannote[655].speaker SPEAKER_03
transcript.pyannote[655].start 1653.73034375
transcript.pyannote[655].end 1655.83971875
transcript.pyannote[656].speaker SPEAKER_01
transcript.pyannote[656].start 1656.39659375
transcript.pyannote[656].end 1659.45096875
transcript.pyannote[657].speaker SPEAKER_03
transcript.pyannote[657].start 1659.78846875
transcript.pyannote[657].end 1660.78409375
transcript.pyannote[658].speaker SPEAKER_03
transcript.pyannote[658].start 1661.45909375
transcript.pyannote[658].end 1668.69846875
transcript.pyannote[659].speaker SPEAKER_01
transcript.pyannote[659].start 1664.96909375
transcript.pyannote[659].end 1666.06596875
transcript.pyannote[660].speaker SPEAKER_01
transcript.pyannote[660].start 1668.14159375
transcript.pyannote[660].end 1670.16659375
transcript.pyannote[661].speaker SPEAKER_01
transcript.pyannote[661].start 1670.45346875
transcript.pyannote[661].end 1672.00596875
transcript.pyannote[662].speaker SPEAKER_03
transcript.pyannote[662].start 1672.42784375
transcript.pyannote[662].end 1674.18284375
transcript.pyannote[663].speaker SPEAKER_03
transcript.pyannote[663].start 1674.33471875
transcript.pyannote[663].end 1677.45659375
transcript.pyannote[664].speaker SPEAKER_01
transcript.pyannote[664].start 1676.61284375
transcript.pyannote[664].end 1678.30034375
transcript.pyannote[665].speaker SPEAKER_03
transcript.pyannote[665].start 1677.62534375
transcript.pyannote[665].end 1690.65284375
transcript.pyannote[666].speaker SPEAKER_01
transcript.pyannote[666].start 1679.16096875
transcript.pyannote[666].end 1681.33784375
transcript.pyannote[667].speaker SPEAKER_03
transcript.pyannote[667].start 1691.53034375
transcript.pyannote[667].end 1694.01096875
transcript.pyannote[668].speaker SPEAKER_03
transcript.pyannote[668].start 1694.43284375
transcript.pyannote[668].end 1696.62659375
transcript.pyannote[669].speaker SPEAKER_03
transcript.pyannote[669].start 1698.28034375
transcript.pyannote[669].end 1701.82409375
transcript.pyannote[670].speaker SPEAKER_03
transcript.pyannote[670].start 1702.00971875
transcript.pyannote[670].end 1702.97159375
transcript.pyannote[671].speaker SPEAKER_03
transcript.pyannote[671].start 1703.32596875
transcript.pyannote[671].end 1713.87284375
transcript.pyannote[672].speaker SPEAKER_01
transcript.pyannote[672].start 1706.85284375
transcript.pyannote[672].end 1708.10159375
transcript.pyannote[673].speaker SPEAKER_01
transcript.pyannote[673].start 1709.46846875
transcript.pyannote[673].end 1712.38784375
transcript.pyannote[674].speaker SPEAKER_00
transcript.pyannote[674].start 1712.38784375
transcript.pyannote[674].end 1712.43846875
transcript.pyannote[675].speaker SPEAKER_01
transcript.pyannote[675].start 1712.43846875
transcript.pyannote[675].end 1712.77596875
transcript.pyannote[676].speaker SPEAKER_00
transcript.pyannote[676].start 1712.77596875
transcript.pyannote[676].end 1712.79284375
transcript.pyannote[677].speaker SPEAKER_01
transcript.pyannote[677].start 1712.79284375
transcript.pyannote[677].end 1712.89409375
transcript.pyannote[678].speaker SPEAKER_00
transcript.pyannote[678].start 1712.89409375
transcript.pyannote[678].end 1712.91096875
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 1712.91096875
transcript.pyannote[679].end 1712.96159375
transcript.pyannote[680].speaker SPEAKER_00
transcript.pyannote[680].start 1712.96159375
transcript.pyannote[680].end 1713.45096875
transcript.pyannote[681].speaker SPEAKER_03
transcript.pyannote[681].start 1714.83471875
transcript.pyannote[681].end 1715.54346875
transcript.pyannote[682].speaker SPEAKER_03
transcript.pyannote[682].start 1715.61096875
transcript.pyannote[682].end 1719.01971875
transcript.pyannote[683].speaker SPEAKER_03
transcript.pyannote[683].start 1719.55971875
transcript.pyannote[683].end 1720.90971875
transcript.pyannote[684].speaker SPEAKER_03
transcript.pyannote[684].start 1721.39909375
transcript.pyannote[684].end 1723.18784375
transcript.pyannote[685].speaker SPEAKER_03
transcript.pyannote[685].start 1723.39034375
transcript.pyannote[685].end 1726.15784375
transcript.pyannote[686].speaker SPEAKER_03
transcript.pyannote[686].start 1726.73159375
transcript.pyannote[686].end 1727.94659375
transcript.pyannote[687].speaker SPEAKER_03
transcript.pyannote[687].start 1728.19971875
transcript.pyannote[687].end 1729.36409375
transcript.pyannote[688].speaker SPEAKER_03
transcript.pyannote[688].start 1729.61721875
transcript.pyannote[688].end 1730.14034375
transcript.pyannote[689].speaker SPEAKER_03
transcript.pyannote[689].start 1732.46909375
transcript.pyannote[689].end 1734.35909375
transcript.pyannote[690].speaker SPEAKER_03
transcript.pyannote[690].start 1735.50659375
transcript.pyannote[690].end 1736.45159375
transcript.pyannote[691].speaker SPEAKER_03
transcript.pyannote[691].start 1737.53159375
transcript.pyannote[691].end 1739.57346875
transcript.pyannote[692].speaker SPEAKER_03
transcript.pyannote[692].start 1739.86034375
transcript.pyannote[692].end 1742.34096875
transcript.pyannote[693].speaker SPEAKER_03
transcript.pyannote[693].start 1742.83034375
transcript.pyannote[693].end 1743.94409375
transcript.pyannote[694].speaker SPEAKER_03
transcript.pyannote[694].start 1744.45034375
transcript.pyannote[694].end 1747.30221875
transcript.pyannote[695].speaker SPEAKER_03
transcript.pyannote[695].start 1748.02784375
transcript.pyannote[695].end 1748.55096875
transcript.pyannote[696].speaker SPEAKER_03
transcript.pyannote[696].start 1748.87159375
transcript.pyannote[696].end 1750.18784375
transcript.pyannote[697].speaker SPEAKER_03
transcript.pyannote[697].start 1750.79534375
transcript.pyannote[697].end 1752.06096875
transcript.pyannote[698].speaker SPEAKER_03
transcript.pyannote[698].start 1753.02284375
transcript.pyannote[698].end 1756.58346875
transcript.pyannote[699].speaker SPEAKER_03
transcript.pyannote[699].start 1758.64221875
transcript.pyannote[699].end 1760.27909375
transcript.pyannote[700].speaker SPEAKER_01
transcript.pyannote[700].start 1760.51534375
transcript.pyannote[700].end 1761.05534375
transcript.pyannote[701].speaker SPEAKER_01
transcript.pyannote[701].start 1761.79784375
transcript.pyannote[701].end 1763.08034375
transcript.pyannote[702].speaker SPEAKER_01
transcript.pyannote[702].start 1763.45159375
transcript.pyannote[702].end 1766.06721875
transcript.pyannote[703].speaker SPEAKER_01
transcript.pyannote[703].start 1766.67471875
transcript.pyannote[703].end 1769.17221875
transcript.pyannote[704].speaker SPEAKER_01
transcript.pyannote[704].start 1769.62784375
transcript.pyannote[704].end 1774.48784375
transcript.pyannote[705].speaker SPEAKER_01
transcript.pyannote[705].start 1774.74096875
transcript.pyannote[705].end 1777.74471875
transcript.pyannote[706].speaker SPEAKER_03
transcript.pyannote[706].start 1774.77471875
transcript.pyannote[706].end 1775.43284375
transcript.pyannote[707].speaker SPEAKER_03
transcript.pyannote[707].start 1776.51284375
transcript.pyannote[707].end 1782.14909375
transcript.pyannote[708].speaker SPEAKER_03
transcript.pyannote[708].start 1782.46971875
transcript.pyannote[708].end 1787.68409375
transcript.pyannote[709].speaker SPEAKER_03
transcript.pyannote[709].start 1788.20721875
transcript.pyannote[709].end 1789.59096875
transcript.pyannote[710].speaker SPEAKER_01
transcript.pyannote[710].start 1788.49409375
transcript.pyannote[710].end 1793.75909375
transcript.pyannote[711].speaker SPEAKER_03
transcript.pyannote[711].start 1791.86909375
transcript.pyannote[711].end 1796.77971875
transcript.pyannote[712].speaker SPEAKER_03
transcript.pyannote[712].start 1797.13409375
transcript.pyannote[712].end 1800.82971875
transcript.pyannote[713].speaker SPEAKER_03
transcript.pyannote[713].start 1801.11659375
transcript.pyannote[713].end 1801.57221875
transcript.pyannote[714].speaker SPEAKER_03
transcript.pyannote[714].start 1802.12909375
transcript.pyannote[714].end 1805.45346875
transcript.pyannote[715].speaker SPEAKER_03
transcript.pyannote[715].start 1806.66846875
transcript.pyannote[715].end 1807.98471875
transcript.pyannote[716].speaker SPEAKER_03
transcript.pyannote[716].start 1808.79471875
transcript.pyannote[716].end 1810.04346875
transcript.pyannote[717].speaker SPEAKER_03
transcript.pyannote[717].start 1810.12784375
transcript.pyannote[717].end 1810.78596875
transcript.pyannote[718].speaker SPEAKER_03
transcript.pyannote[718].start 1811.25846875
transcript.pyannote[718].end 1812.16971875
transcript.pyannote[719].speaker SPEAKER_03
transcript.pyannote[719].start 1813.53659375
transcript.pyannote[719].end 1814.27909375
transcript.pyannote[720].speaker SPEAKER_03
transcript.pyannote[720].start 1815.27471875
transcript.pyannote[720].end 1816.50659375
transcript.pyannote[721].speaker SPEAKER_03
transcript.pyannote[721].start 1817.46846875
transcript.pyannote[721].end 1818.81846875
transcript.pyannote[722].speaker SPEAKER_03
transcript.pyannote[722].start 1820.01659375
transcript.pyannote[722].end 1820.65784375
transcript.pyannote[723].speaker SPEAKER_03
transcript.pyannote[723].start 1821.06284375
transcript.pyannote[723].end 1823.59409375
transcript.pyannote[724].speaker SPEAKER_03
transcript.pyannote[724].start 1824.47159375
transcript.pyannote[724].end 1825.85534375
transcript.pyannote[725].speaker SPEAKER_03
transcript.pyannote[725].start 1826.54721875
transcript.pyannote[725].end 1827.54284375
transcript.pyannote[726].speaker SPEAKER_03
transcript.pyannote[726].start 1828.50471875
transcript.pyannote[726].end 1829.43284375
transcript.pyannote[727].speaker SPEAKER_03
transcript.pyannote[727].start 1829.60159375
transcript.pyannote[727].end 1830.71534375
transcript.pyannote[728].speaker SPEAKER_03
transcript.pyannote[728].start 1832.35221875
transcript.pyannote[728].end 1836.84096875
transcript.pyannote[729].speaker SPEAKER_03
transcript.pyannote[729].start 1837.49909375
transcript.pyannote[729].end 1839.79409375
transcript.pyannote[730].speaker SPEAKER_03
transcript.pyannote[730].start 1839.94596875
transcript.pyannote[730].end 1841.75159375
transcript.pyannote[731].speaker SPEAKER_02
transcript.pyannote[731].start 1852.18034375
transcript.pyannote[731].end 1853.41221875
transcript.pyannote[732].speaker SPEAKER_02
transcript.pyannote[732].start 1860.24659375
transcript.pyannote[732].end 1861.96784375
transcript.whisperx[0].start 21.795
transcript.whisperx[0].end 25.357
transcript.whisperx[0].text 請卓院長麻煩請卓院長備詢我們今天來談經濟跟民生不要漲電價不要吃到進口的壞蛋今天大概很多記者都在問你
transcript.whisperx[1].start 51.781
transcript.whisperx[1].end 52.361
transcript.whisperx[1].text 五二零之後
transcript.whisperx[2].start 72.537
transcript.whisperx[2].end 72.557
transcript.whisperx[2].text 張啓楷議員
transcript.whisperx[3].start 91.564
transcript.whisperx[3].end 94.926
transcript.whisperx[3].text 博帝你碰喜在關底的時間應該沒那麼多阿沒有沒有像我們前陣子嘉義發生公災
transcript.whisperx[4].start 118.035
transcript.whisperx[4].end 121.918
transcript.whisperx[4].text 陳建仁院長同樣時間的電費人家少了你50%你用了2萬度15萬人民的納稅錢這是一個很重要的對比所以現在兩個問題要解決
transcript.whisperx[5].start 145.882
transcript.whisperx[5].end 145.902
transcript.whisperx[5].text 韓國瑜
transcript.whisperx[6].start 165.606
transcript.whisperx[6].end 165.746
transcript.whisperx[6].text 施政報告
transcript.whisperx[7].start 186.819
transcript.whisperx[7].end 212.53
transcript.whisperx[7].text 陳建仁陳院長同樣是院長的觀點是做對比同樣的時間點你多出人家50%欸這個趕快去改好不好你剛講就是說你要去查嘛對不對那更重要的更重要的人民的觀感就會很不好了嘛所以要怎麼去把這個墊節省下來好不好你要趕快去做這件事情4到6月啊我使用的時間非常短他也是增加了3700度左右6到8月
transcript.whisperx[8].start 213.829
transcript.whisperx[8].end 233.465
transcript.whisperx[8].text 其實不是只有你 行政院院長的這個官邸出問題而已啦我給他看一下你知道今年 中央部會一共花了多少的人民納稅錢嗎幫你們付電費嗎 今年喔 八十億 更離譜的
transcript.whisperx[9].start 241.687
transcript.whisperx[9].end 251.877
transcript.whisperx[9].text 我們送來的預算書裡面我們一本一本去翻明年的中央政府竟然要用到101億暴增了25億
transcript.whisperx[10].start 256.109
transcript.whisperx[10].end 266.637
transcript.whisperx[10].text 現在不是只有你單純你自己的官邸用太多多了50%出來喔明年竟然一下子用到一百零億人民的納稅錢暴增了25%這個兩個部分跟委員解釋111年我們電費漲了8.4%112年跟113年各漲了11%左右所以加起來這三年的30%
transcript.whisperx[11].start 279.106
transcript.whisperx[11].end 307.739
transcript.whisperx[11].text 過去的預算都沒有反映在預算裡面我們這次把它編了這是第一部分第二部分過去台電吸收以前都沒漲的現在一次把它漲足喔議員長以前為什麼沒有漲就是人民不能這麼苦店家不能這麼苦所以你才會不要漲這麼多嘛你現在變成說一次以前都沒漲的把盈利全部抹掉然後再一次要不要編足不是沒漲以前漲價之後都是吸收都沒有編漲價的費用那第二點我們現在
transcript.whisperx[12].start 309.242
transcript.whisperx[12].end 311.972
transcript.whisperx[12].text 臺電不再負擔這麼多的政策吸收所以回歸到
transcript.whisperx[13].start 312.833
transcript.whisperx[13].end 337.853
transcript.whisperx[13].text 教育部衛福部等等部會首長部會單位他們就目的事業主管機關編自己的預算來適應電費所以回到部會裡面來所以雙重的因素之下電費的這個編列是比較多的院長所以你講的是兩件事嘛你以前在做政策補貼給某些單位對不對你現在要改嘛這是一個第二個是我剛才提醒的以前沒有漲不代表現在可以漲因為以前為什麼沒辦法漲這麼多沒辦法補
transcript.whisperx[14].start 339.727
transcript.whisperx[14].end 350.996
transcript.whisperx[14].text 人民已經很苦啊﹖很多店家跟產業已經很苦啊﹖所以才不能漲那麼多嘛﹖以前不能漲﹖以前不能漲﹖現在就不能漲對不對﹖而且你把以前沒有漲的全部放在這一次﹖人民受得了嗎﹖電費已經漲了﹖但是過去3年﹖電費都沒有反映在預算裡面﹖
transcript.whisperx[15].start 362.385
transcript.whisperx[15].end 364.206
transcript.whisperx[15].text 所以這個預算我們一定會延審好不好
transcript.whisperx[16].start 390.848
transcript.whisperx[16].end 398.2
transcript.whisperx[16].text 我更期待了現在總預算退回去嘛我覺得院長你可以去想一想真的以前沒有漲的全部在才一年裡面你要增加25%增加21億
transcript.whisperx[17].start 400.98
transcript.whisperx[17].end 403.942
transcript.whisperx[17].text 是不是讓請委員在審查預算的時候實質討論我們希望部會首長跟部會的官員都能夠向大院來清楚說明
transcript.whisperx[18].start 424.414
transcript.whisperx[18].end 425.035
transcript.whisperx[18].text 明年的總預算增加4000億
transcript.whisperx[19].start 441.36
transcript.whisperx[19].end 468.658
transcript.whisperx[19].text 那個原住民那個預算才多少 21億我們公糧收購一年也60億 那個都是零頭你要照顧原住民不照顧要照顧農民不照顧 要增加4000億 為什麼現在有機會退回去城區委員我拜託 拜託院長重新想一下 一個是電費不要多這麼多 這是要調整的第二個怎麼照顧我們原住民 怎麼照顧農民 想一下好不好都要經過合理的編列都要經過合理的編列 程序要合法合憲
transcript.whisperx[20].start 472.2
transcript.whisperx[20].end 496.116
transcript.whisperx[20].text 原住民的這個進法條例是我們三讀通過的我們台灣民眾黨提的公糧收購提高一公斤提高五塊錢是經過院會通過的這都是法定的預算這次有個機會退到程序會議趕快補破網好不好這個可以跟大院再好好的討論這樣的編列方式如果可行將來行政院編列預算的法定權利將會被破壞那我們不願意這樣做但是我們希望說各部會
transcript.whisperx[21].start 496.716
transcript.whisperx[21].end 524.75
transcript.whisperx[21].text 在編列預算的時候能夠具體說明清楚審查預算的時候也能夠很清楚的捍衛自己的預算這樣整個預算的完整性才能完整院長今年4月1號調的平均的這個幅度是11%民生用電只有5到10那我剛提醒你了你一下增加了25% 101那是連過去兩三年的我再給你看一個我從你個人的觀底談到整體的預算再來進一步我們來看某些機關來
transcript.whisperx[22].start 529.983
transcript.whisperx[22].end 542.337
transcript.whisperx[22].text 總統府明年的水電費要增加28%施法院一下子跳了60%剛剛在講在挖礦挖比特幣嗎
transcript.whisperx[23].start 544.476
transcript.whisperx[23].end 561.343
transcript.whisperx[23].text 委員這種形容非常不當委員這種形容非常不當你說司法院在挖比特幣這樣形容非常不當我絕對不要用這樣的形容是民間在諷刺為什麼民間黨有這樣共識在挖比特幣這個錢是誰的錢大家國人的錢我們人民的納稅錢付你們水電費結果這個幅度漲這麼高
transcript.whisperx[24].start 569.448
transcript.whisperx[24].end 598.133
transcript.whisperx[24].text 你不掏人民的錢我剛剛跟委員講過那是三年的為什麼委員都不談論這一點一直用你一開始的論調呢那我們這裡沒有辦法這樣對話嘛我說這是三年來調整的百分之三十過去沒有反映在預算上甚至把它反映上去了就是這樣的計算方式那進入實質審查之後委員如果有意見可以在審查的時候跟我們的各部委首長好好的去討論那這個要做一個合理的編列這個我們都接受
transcript.whisperx[25].start 598.953
transcript.whisperx[25].end 623.387
transcript.whisperx[25].text 議員長你解釋了三年沒有漲 這次要把它漲熟我剛剛已經跟你講了 第一個當初沒有漲一定有它的理由 而且已經漲得過多了這三年已經漲得過多了 你都反應在上面 第二更嚴重的 你再一次要漲25%人民是不會接受的 人民是不會接受的 沒關係 今天你說的我們到審判桌好好來討論
transcript.whisperx[26].start 624.087
transcript.whisperx[26].end 632.568
transcript.whisperx[26].text 欸!
transcript.whisperx[27].start 632.762
transcript.whisperx[27].end 634.943
transcript.whisperx[27].text 今天也是一個很重要的事情
transcript.whisperx[28].start 663.783
transcript.whisperx[28].end 685.522
transcript.whisperx[28].text 今天的最新的新聞啊說10月1號要漲電價而且幅度本來跟原來講的本來說要漲多少不給你1000億的補貼你要漲12到13%現在一下子要漲到13到14為什麼突然又調高了第二個你們這是情緒勒索嗎甚至什麼這恐惡取材嗎
transcript.whisperx[29].start 686.892
transcript.whisperx[29].end 714.289
transcript.whisperx[29].text 你一下子一定要給你撥補,你撥撥補我就要漲你的電價,有這種道理嗎?把人民當什麼?當帕納薩,當培養是不是?報告委員,撥補台電是為了改善台電的財務結構,跟電價沒有關係,電價是由電價審議匯率市長等一下等一下等一下等一下,你要改善你的財務也有很多方法啊你開源節流啊,你有很多方法,你為什麼要拿人民納稅錢一千億又補上去?院長我提醒你一下齁
transcript.whisperx[30].start 716.182
transcript.whisperx[30].end 741.856
transcript.whisperx[30].text 臺電的資產可以重估他的資產可以活化現在你說要改善這個財務最簡單的啊臺鐵現在不是正在做嗎為什麼你為什麼不去做自己的財資產的這個重估或者是這個活化你反而拿這筆納稅錢一千億一千億這樣去補嗎我先提醒你這一點第一個所以不要為了所謂你本身臺電的錯誤要去漲人民的一千億
transcript.whisperx[31].start 743.356
transcript.whisperx[31].end 757.283
transcript.whisperx[31].text 不要去讓我們撥補然後不要再漲我們電價可以嗎第一點電價要不要漲要等電價審議會來決定並不是政府能夠主導而且現在外部委員已經過半所以對於電價未來要怎麼樣漲或跌這要由電價審議會來決定
transcript.whisperx[32].start 759.284
transcript.whisperx[32].end 774.521
transcript.whisperx[32].text 第二點一千億的撥補是因為過去向院長講由臺電吸收之後他的財務結構需要補充但是我要跟委員報告我們已經請臺電要做資產重估火化資產改善經營效率多方採購等等這些都會照原理自然做
transcript.whisperx[33].start 776.82
transcript.whisperx[33].end 805.441
transcript.whisperx[33].text 郭部長說如果這個一千億有撥補應該就是不會有漲這個價的問題那我現在進一步跟你講你這一千億根本就是不用是為了臺電的財務去做這個一千億的撥補有更好的方法嘛你臺電的資產兩兆一千億欸你自己不努力不做開源節流的事情包括你能源政策錯誤你從人民的身上掏錢所以這個一千億本來就不應該給那如果是像郭部長上禮拜講的
transcript.whisperx[34].start 806.854
transcript.whisperx[34].end 825.787
transcript.whisperx[34].text 第一個一千億我們去想辦法不要從人民身上再去撥補第二個10月1號就不要再漲電價了我問一下部長 問一下議員你聽我講你說4月1號民生用電已經漲了民生很苦對不對4月1號今年漁人節已經漲過一次了你聽我講這個漲電價一方面衝擊到物價一方面要穩定民生你也是傾向說10月1號不要漲對不對
transcript.whisperx[35].start 836.238
transcript.whisperx[35].end 861.143
transcript.whisperx[35].text 這個是政府的期待但是還是要由電價審議會來決定你今天能不能清楚跟全民贏10月1號不要再漲電價了你是比較接地氣的我剛剛已經講了第一個現在電費已經太高人民已經哭哈哈的第一個你上禮拜也講了你認為這個會衝擊到物價衝擊到民生甚至你之前都講了10月1號漲了就不要再漲了你今天清楚的跟人民講
transcript.whisperx[36].start 863.583
transcript.whisperx[36].end 889.142
transcript.whisperx[36].text 雖然電價審議委員會還沒有開啊但是我想能夠擔任是電價審議委員的這些先進們都會觀測到整個社會民生的需求我個人認為雖然我們的民生用電現在是低於台電的發電成本但是基於民生用電的需求政府應該想盡各種方法來對民生的用電
transcript.whisperx[37].start 889.991
transcript.whisperx[37].end 890.011
transcript.whisperx[37].text 張啓楷
transcript.whisperx[38].start 902.895
transcript.whisperx[38].end 921.494
transcript.whisperx[38].text 我們就讓這個電價審議委員會來討論 結論現在沒有人知道 但是我是希望你講這個很重要啊 你說希望馬上要開的電價審議委員會 民生用電絕對不要漲了 要嘛就去檢討包括工業用電是不是這樣子
transcript.whisperx[39].start 921.994
transcript.whisperx[39].end 926.736
transcript.whisperx[39].text 所以一句話就是這個討論跟追加預算一千億是不一樣的追加預算那就是要來看過去台電支付那麼多的政策目標之後
transcript.whisperx[40].start 942.623
transcript.whisperx[40].end 952.101
transcript.whisperx[40].text 他在財政財務上的健全需不需要讓他能夠順利的經營以及民生用電需不需要政府多投一些來協助讓他能夠平穩
transcript.whisperx[41].start 952.745
transcript.whisperx[41].end 975.458
transcript.whisperx[41].text 那我們要用這個方式來講另外臺電花了很多錢做電網韌性的改善這個要不要增加一些錢讓他處理因為電價審議委員會馬上就要開了我們要決定10月1號要不要漲電價那大家生氣的是今天的媒體已經講了不只原來的12到13%他一下子要漲13到14那我們經過今天這樣的對話以人民為主
transcript.whisperx[42].start 976.363
transcript.whisperx[42].end 1002.757
transcript.whisperx[42].text 我們盡量民生用電不要再去碰到了甚至更進一步的現在很多產業用電也是很辛苦我只能說這是我我自己的想法我個人的想法第一個我們盡量再往10月1號不要漲電價的方向去走好不好我們盡量往這邊去走接下來我們來討論那個1000億別的地方可以找到這1000億阿你為什麼每次都要從大家的人民的口袋裡面去掏錢呢大家看一下
transcript.whisperx[43].start 1005.786
transcript.whisperx[43].end 1024.299
transcript.whisperx[43].text 從2022年的12月開始你們透過認股的增資1500特別預算500然後經濟部又認股增資1000過去的3年已經拿了人民的納稅錢3000億去補了台電另外大家看右邊這個表
transcript.whisperx[44].start 1027.319
transcript.whisperx[44].end 1047.159
transcript.whisperx[44].text 過去三年 漲了三次的電價一次漲8.4一次漲11%一次漲11%三年 三年漲了三年漲了30%院長我現在提醒你最重要是什麼你現在看到一個趨勢了波普 漲價波普 漲價波普 漲價結果問題有解決嗎
transcript.whisperx[45].start 1051.801
transcript.whisperx[45].end 1058.848
transcript.whisperx[45].text 股泥 去年底的時候3800多億的虧損你們說今年4月1號讓我漲一下電價結果虧損越來越嚴重現在變成無底洞 就表示你現在用撥補跟漲人民的電價你不只沒有解決問題 你變成個無底洞
transcript.whisperx[46].start 1078.456
transcript.whisperx[46].end 1078.596
transcript.whisperx[46].text 報告委員:
transcript.whisperx[47].start 1098.77
transcript.whisperx[47].end 1103.172
transcript.whisperx[47].text 院長 透過我們這樣對話你沒有發現你在講漲電價的同時在講撥補的時候你都解決不了問題就台電那個虧損數越來越大的
transcript.whisperx[48].start 1127.796
transcript.whisperx[48].end 1133.261
transcript.whisperx[48].text 也許委員認為是左手跟右手目的是使主管機關來付或是台電來付再委員看也許是左手右手
transcript.whisperx[49].start 1148.917
transcript.whisperx[49].end 1176.523
transcript.whisperx[49].text 但就台電來看就是他財務能不能健全經營能不能適妥的一個方式現在我們就是把他的很多的補貼政策移到目的實業主管機關來我們希望台電能夠真正的自立自營來經營他的財務院長你現在提了一個方法啦就是用政策補貼要改回去啦例如說可能各個機關以前台電負擔這才是一個正常之道可是我再提醒你這個咧嘴車薪真正要財務的解決
transcript.whisperx[50].start 1177.813
transcript.whisperx[50].end 1204.442
transcript.whisperx[50].text 要重更奏起 這簡單的嘛我們從國小就練過 從這個地方開始大體的來推動開源節流嘛 對不對開源節流嘛 我剛給你看的就是節流從你的官邸 到各個機關的用水電費一直到各個機關 總統府跟司法院不要用那麼多的電你叫人民說要省電結果政府拍幾串頭
transcript.whisperx[51].start 1206.34
transcript.whisperx[51].end 1206.98
transcript.whisperx[51].text 其實我們的電價應該是往下降不是往上漲
transcript.whisperx[52].start 1236.274
transcript.whisperx[52].end 1246.477
transcript.whisperx[52].text 每次你們在講說要漲的時候這是一個最重要的因素你特別都說烏鶴戰爭以後天然氣暴漲這張圖來我們看一下那張圖這個是天然氣最近這幾年他的整個趨勢圖給大家看一下這個圖你有沒有看到2022跟2023很高阿你看齁
transcript.whisperx[53].start 1264.992
transcript.whisperx[53].end 1279.135
transcript.whisperx[53].text 天然氣最暴增的時候是在就是上面那個2022到2023年可是你有發現嗎2023年就往下掉了現在2024嘛對不對2024右邊你看右邊這個圖跟左邊的2017年跟2018年現在國際天然氣的價格從去年2023年就開始掉了掉到現在
transcript.whisperx[54].start 1294.229
transcript.whisperx[54].end 1311.889
transcript.whisperx[54].text 比2017年跟2018年還低是不是這樣所以剛剛跟委員報告四月之後臺電的盈餘狀況是有所改善的跟這個也有相關啊對啊我剛剛已經講過啦所以院長你這話很重要所以是應該電費應該降啊你怎麼反而往上飆呢
transcript.whisperx[55].start 1315.403
transcript.whisperx[55].end 1335.991
transcript.whisperx[55].text 你的電費的原則第一個是反應成本第二個是照顧民生第二個是穩定物價再來是節能指引碳所以第一個要反應成本過去都沒有辦法反應成本因為原料也高各種都很高現在是盡量把它接近成本
transcript.whisperx[56].start 1336.491
transcript.whisperx[56].end 1362.265
transcript.whisperx[56].text 一定是你跟大家說的從上一任的總統跟院長到你這一任的院長跟總統還有經濟部你們就跟我講為什麼虧損會那麼嚴重包括要漲電價你們的過電成本還是高的嘛所以我今天給你看啊你們一直講天然氣啊這個土清清楚楚了吧它已經掉下來了今年是改善的啊對所以它掉下來了今年是改善的但過去虧損太多院長所以改善了所以電價是不是往下降
transcript.whisperx[57].start 1365.629
transcript.whisperx[57].end 1389.301
transcript.whisperx[57].text 你怎麼往上調過去虧損太多我們距離成本還是有距離的距離發電成本還是有距離的你已經過去3年撥補了3000億以上然後你已經漲了三次電價了你跟我講還撥不夠等一下市長你不要講你已經撥補那麼多漲了那麼多我再重複一次好不好3年撥補了3000億以上
transcript.whisperx[58].start 1391.843
transcript.whisperx[58].end 1401.852
transcript.whisperx[58].text 三年漲價漲了30%以上那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例那有相當的比例
transcript.whisperx[59].start 1411.701
transcript.whisperx[59].end 1436.615
transcript.whisperx[59].text 還有民生用電一直是低於成本的所以政府也要穩定民生用電的成本計算不會漲太多的民生用電這個是已經存在多年的事實所以他的財務狀況一直不是很好尤其到了2022、2023整個燃料、能源上漲之後他的級距是加深的那今年我們在4月調漲之後以及現在這個能源的變化
transcript.whisperx[60].start 1437.435
transcript.whisperx[60].end 1465.175
transcript.whisperx[60].text 今年度到4月之後它是有所改善的但過去的虧損仍然很多就是那兩個原因一個是穩定民生一個就是政策的撥補政策的這個政策支應那現在我們把政策這個回到各目的事業主管機關那我們在希望用最佳預算來填補現在的這個民生用電這樣我們期待一年兩年之後的台電呈現出來的可以現在經營狀況會有所不點那天郭部長在這裡
transcript.whisperx[61].start 1465.896
transcript.whisperx[61].end 1470.818
transcript.whisperx[61].text 議員長我們台灣人民的出資是很高的我想從這個圖很清楚看出來就是前幾年政府一直在講因為天然氣暴增所以你的電費必須漲今天很清楚從這個圖看出來
transcript.whisperx[62].start 1490.305
transcript.whisperx[62].end 1509.165
transcript.whisperx[62].text 拜託一下現在電費應該是考慮要往下降了不是再往上漲我們現在還跟發電成本還有距離為什麼你的發電成本應該是往下降阿你用天然氣用那麼多你以前漲電價發電成本高也是天然氣阿他降阿我們以氣換煤這個是政策所以問題
transcript.whisperx[63].start 1513.683
transcript.whisperx[63].end 1530.137
transcript.whisperx[63].text 出在什麼地方?一定還有另外一個漏洞你沒有跟人民講嘛你有一個沒有跟人民講的真相嘛為什麼成本還在增加?天然氣明明也是這樣啊為什麼?這段時間出了什麼問題?現在核能的比例已經相當低了所以核能的成本並不能
transcript.whisperx[64].start 1537.662
transcript.whisperx[64].end 1552.413
transcript.whisperx[64].text 降低太多的成本因為現在是要彌補過去的這個狀況過去的這個補貼政策現在台電的這個財務是不健全的那希望說能夠讓他財務健全兩年之後那天郭部長講了
transcript.whisperx[65].start 1553.174
transcript.whisperx[65].end 1581.015
transcript.whisperx[65].text 他很勇敢的而且負責的講兩年之內要把台電的經營讓他能夠順暢能夠進入到一個正常的經營的狀態那我們應該給台電這樣努力的空間所以我們盡量把他的財務狀況調的比較健全一點不要負太多的政策的負擔責任院長你台電的財務怎麼樣才可以財務的健全很多方式他本來是金雞母我回到剛剛那張圖給大家看一下台電是一個金雞母回到上面那張圖
transcript.whisperx[66].start 1583.049
transcript.whisperx[66].end 1592.975
transcript.whisperx[66].text 台電為什麼金雞母變成敗家子你在講他財務的問題你看喔2017年2018年的時候台電都還是金雞母都還是賺錢的2017年那時候台電賺多少錢118億2018年的時候還賺了35億到了今年你們累計要虧損多光是今年2024年不只沒有賺錢喔
transcript.whisperx[67].start 1610.848
transcript.whisperx[67].end 1625.518
transcript.whisperx[67].text 要競損2124億為什麼這麼大的落差我也非常不能接受同樣天然氣現在天然氣已經比2017年跟18還低了那時候是賺錢的為什麼現在賠這麼多你在講財務問題在哪裡我們看下一張好不好問題在你剛講的你把核電廢掉之後
transcript.whisperx[68].start 1641.028
transcript.whisperx[68].end 1642.709
transcript.whisperx[68].text 當然啦 核電你現場買很便宜售後服務就很貴阿
transcript.whisperx[69].start 1659.921
transcript.whisperx[69].end 1663.086
transcript.whisperx[69].text 那也是人民的錢不是嗎那也是人民的錢啊
transcript.whisperx[70].start 1672.586
transcript.whisperx[70].end 1696.092
transcript.whisperx[70].text 對阿 你的再生能源買很貴阿現在這兩個問題嘛 你現在講財務你現在出了問題沒有綠能 現在跟你講 先進產業需要用綠能你以前是賺錢的 現在賠錢 那你有去知道去看那個結構到底 能源結構出了什麼問題第一個就是因為你把核電停掉了嘛 因為你買了很多再生能源這兩個價格差很多 你有沒有跟人民講這個事情 而且你又跟真相沒有講 要跟全民去講清楚
transcript.whisperx[71].start 1698.353
transcript.whisperx[71].end 1698.493
transcript.whisperx[71].text 議員長 讓我講完
transcript.whisperx[72].start 1715.728
transcript.whisperx[72].end 1716.929
transcript.whisperx[72].text 院長你在會合的同時是不是要跟人民講
transcript.whisperx[73].start 1738.257
transcript.whisperx[73].end 1755.848
transcript.whisperx[73].text 這幾年為什麼一直在漲電價一直在撥股就是因為核一已經沒有了核二已經沒有了核三的一號機已經被你停了明年二號機又要停這代價有多高你知道嗎人民到底要付多少錢你們跟人民解釋過跟人民講過這個事情
transcript.whisperx[74].start 1759.26
transcript.whisperx[74].end 1787.166
transcript.whisperx[74].text 議員長你有去統計過這個嗎報告委員所謂的真相就是核電買很便宜啦比較便宜對他事後的售後服務非常的貴每一筆錢都是而且他的建設費用也很高這個都要算進去的現在核電已經佔的比例相當低了那你核一廠核二廠核三廠都建好了連核四廠都建好了不是嗎而且你講後端我們每一度店裡面就有核廢料的這個處理有核後端的基金啊市場外有擺在那
transcript.whisperx[75].start 1788.406
transcript.whisperx[75].end 1816.304
transcript.whisperx[75].text 這也是人民的錢這也是人民的錢所以繼續的用就會繼續要處理核廢料你剛講的是有問題的院長來來來最關鍵我覺得人民最關心的啦不要實力要不要漲電價第二個你要跟人民講真相要講清楚因為你們廢核這是你們的薪酬班或者你們的意識形態嘛這個代價有多高一度電來看看這是從台電的官網抓下來的資料核電一度電的成本
transcript.whisperx[76].start 1820.067
transcript.whisperx[76].end 1841.114
transcript.whisperx[76].text 1.13對不對 過便宜了吧你剛才講核二端處理基金4000多億也在那裡啦用火力發電一度要多少 2.98用再生能源5.39你這段時間你剛講那個為什麼一直在拿錢 拿漲人民的電價一直在撥補就是因為核一停了 核二停了 核三的一號機停了
transcript.whisperx[77].start 1852.233
transcript.whisperx[77].end 1852.994
transcript.whisperx[77].text 好 謝謝時間到了 請開會
會議時間 2024-09-24T09:00:00+08:00
委員發言時間 09:00:47 - 09:31:50
會議名稱 第11屆第2會期第1次會議(事由:行政院院長施政報告並備質詢)
IVOD_ID 154864
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/154864
日期 2024-09-24
會議資料.會議代碼 院會-11-2-1
會議資料.屆 11
會議資料.會期 2
會議資料.會次 1
會議資料.種類 院會
會議資料.標題 第11屆第2會期第1次會議
影片種類 Clip
開始時間 2024-09-24T09:00:47+08:00
結束時間 2024-09-24T09:31:50+08:00
支援功能[0] ai-transcript
支援功能[1] gazette