iVOD / 167253

Field Value
IVOD_ID 167253
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167253
日期 2026-01-26
影片種類 Clip
開始時間 2026-01-26T14:23:03+08:00
結束時間 2026-01-26T14:28:19+08:00
影片長度 00:05:16
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/eb9c45f2fd6188103bc82613785fd2506efad58031679d9f228cb1f587a9190873ba05b5d17d06145ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 14:23:03 - 14:28:19
會議時間 2026-01-26T13:30:00+08:00
會議名稱 立法院第11屆第4會期內政委員會「不在籍投票立法」公聽會(事由:立法院第11屆第4會期內政委員會「不在籍投票立法」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.09346875
transcript.pyannote[0].end 5.27909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.03846875
transcript.pyannote[1].end 7.94534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.59909375
transcript.pyannote[2].end 17.63159375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 18.07034375
transcript.pyannote[3].end 19.60596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 20.02784375
transcript.pyannote[4].end 28.04346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 28.46534375
transcript.pyannote[5].end 33.03846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 33.24096875
transcript.pyannote[6].end 36.56534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 37.13909375
transcript.pyannote[7].end 38.42159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 38.80971875
transcript.pyannote[8].end 41.62784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 41.91471875
transcript.pyannote[9].end 43.23096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.38284375
transcript.pyannote[10].end 46.33596875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 46.72409375
transcript.pyannote[11].end 51.70221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 51.85409375
transcript.pyannote[12].end 54.01409375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 54.14909375
transcript.pyannote[13].end 58.65471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 58.92471875
transcript.pyannote[14].end 70.80471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 71.02409375
transcript.pyannote[15].end 71.71596875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 72.00284375
transcript.pyannote[16].end 73.15034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 73.57221875
transcript.pyannote[17].end 74.90534375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 75.17534375
transcript.pyannote[18].end 77.36909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 77.57159375
transcript.pyannote[19].end 83.91659375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 84.30471875
transcript.pyannote[20].end 86.59971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 86.85284375
transcript.pyannote[21].end 93.48471875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 93.78846875
transcript.pyannote[22].end 97.92284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 98.10846875
transcript.pyannote[23].end 99.49221875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 99.72846875
transcript.pyannote[24].end 110.79846875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 111.13596875
transcript.pyannote[25].end 117.10971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 117.70034375
transcript.pyannote[26].end 120.87284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 121.31159375
transcript.pyannote[27].end 137.62971875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 137.93346875
transcript.pyannote[28].end 140.78534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 140.97096875
transcript.pyannote[29].end 155.17971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 155.53409375
transcript.pyannote[30].end 158.31846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 158.55471875
transcript.pyannote[31].end 159.33096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 159.56721875
transcript.pyannote[32].end 163.06034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 163.29659375
transcript.pyannote[33].end 163.80284375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 163.81971875
transcript.pyannote[34].end 164.66346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 164.79846875
transcript.pyannote[35].end 166.75596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 167.02596875
transcript.pyannote[36].end 168.10596875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 168.24096875
transcript.pyannote[37].end 169.25346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 169.38846875
transcript.pyannote[38].end 170.23221875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 170.38409375
transcript.pyannote[39].end 171.63284375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 172.03784375
transcript.pyannote[40].end 174.94034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 175.21034375
transcript.pyannote[41].end 178.18034375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 178.33221875
transcript.pyannote[42].end 184.47471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 184.84596875
transcript.pyannote[43].end 190.04346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 190.31346875
transcript.pyannote[44].end 199.54409375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 199.76346875
transcript.pyannote[45].end 201.92346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 202.07534375
transcript.pyannote[46].end 206.88471875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 207.12096875
transcript.pyannote[47].end 208.96034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 209.36534375
transcript.pyannote[48].end 209.87159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 210.17534375
transcript.pyannote[49].end 212.20034375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 212.50409375
transcript.pyannote[50].end 218.24159375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 218.62971875
transcript.pyannote[51].end 220.04721875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 220.21596875
transcript.pyannote[52].end 227.86034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 228.24846875
transcript.pyannote[53].end 235.96034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 236.41596875
transcript.pyannote[54].end 237.19221875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 237.27659375
transcript.pyannote[55].end 238.27221875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 238.52534375
transcript.pyannote[56].end 240.82034375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 241.17471875
transcript.pyannote[57].end 243.77346875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 243.84096875
transcript.pyannote[58].end 245.68034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 246.00096875
transcript.pyannote[59].end 246.76034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 247.13159375
transcript.pyannote[60].end 247.90784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 248.14409375
transcript.pyannote[61].end 251.87346875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 252.21096875
transcript.pyannote[62].end 257.52659375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 257.77971875
transcript.pyannote[63].end 259.68659375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 260.26034375
transcript.pyannote[64].end 261.17159375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 261.61034375
transcript.pyannote[65].end 265.82909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 266.20034375
transcript.pyannote[66].end 277.32096875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 277.35471875
transcript.pyannote[67].end 278.51909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 278.82284375
transcript.pyannote[68].end 280.69596875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 281.23596875
transcript.pyannote[69].end 286.02846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 286.09596875
transcript.pyannote[70].end 289.40346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 289.65659375
transcript.pyannote[71].end 292.33971875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 292.91346875
transcript.pyannote[72].end 294.97221875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 295.39409375
transcript.pyannote[73].end 297.40221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 297.60471875
transcript.pyannote[74].end 302.27909375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 302.48159375
transcript.pyannote[75].end 315.15471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 312.74159375
transcript.pyannote[76].end 313.16346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 317.33159375
transcript.pyannote[77].end 317.63534375
transcript.whisperx[0].start 6.04
transcript.whisperx[0].end 32.432
transcript.whisperx[0].text 好我以為有投影先把投影放出來好謝謝主席剛剛恭聽了恭臨了幾位學者專家的意見我會很快的講今天呢我的主題啊就是台灣投票模式民主友邦都肯定不在即東勢孝平人民難信任怎麼說呢我們來看一下就在去年的九月啊有一位韓國的國會議員金文電他對他們的金明錫總理呢提出質疑他提到誇獎了台灣的
transcript.whisperx[1].start 33.588
transcript.whisperx[1].end 53.758
transcript.whisperx[1].text 經濟成長率比韓國還要高 除了半導體還有什麼優勢結果他得到的結論是什麼台灣的開票制度 投開票制度呢成為韓國年輕人的嚮往我們只知道台灣的年輕人嚮往韓劇 韓流不曉得韓國年輕人 居然他們會欣賞台灣的投開票制度他怎麼運作的 為什麼會引起海外的激賞呢 我們往下看
transcript.whisperx[2].start 54.318
transcript.whisperx[2].end 83.476
transcript.whisperx[2].text 其實台灣最有價值的資產 陳如己為先進所說的就是我們的民主制度 就是我們的投票模式你看 就在2024年剛大選完之後 居然這是一個投票有什麼效果呢它可以向外 向國際社會表達民意華爾街日報它就說了 台灣人民不是 它是不希望被你中國干涉同時呢 對內要公正公開 你看連美國的政治家家都對我們台灣開票那影片哇 它覺得好了不起 任何人都可以監督 往下看
transcript.whisperx[3].start 84.369
transcript.whisperx[3].end 109.177
transcript.whisperx[3].text 那麼台灣的民主產權怎麼投票呢 什麼是民主主權在民 民意施政怎麼申選 透過定期的選舉投票選出的民意代表可以表達我們的民意這需要什麼呢 這個制度需要一個選民的信任跟完善的制度完善的制度成為我們剛剛有三位來自台北市 高雄市跟新竹縣的選務工作人員我跟大家介紹一下我過去在地方政府服務過長達十幾年
transcript.whisperx[4].start 111.318
transcript.whisperx[4].end 137.425
transcript.whisperx[4].text 我很清楚知道我們地方的選委會副總幹事是最重要的靈魂人物因為他是專職專任其他的總幹事搞不好還是民政處長民政局長兼任的副總幹事最清楚我們所有選舉大大小小每一個環節他們的提醒他們的建議我們要認真的去思考因為他們要運作一個完善的制度人民選民才會信任因此公平透明而且長期的得來不易我們再往下看
transcript.whisperx[5].start 138.001
transcript.whisperx[5].end 152.087
transcript.whisperx[5].text 那台灣的制度哪裡做得好呢我們先看韓國的制度韓國他可以提前投票而且不再急投票加上他集中開票用電子點票結果呢舞弊陰謀論就四起啊他雖然很方便但是反過來開票的時候耗時長而且常常會被質疑選舉造假
transcript.whisperx[6].start 155.609
transcript.whisperx[6].end 182.045
transcript.whisperx[6].text 相對的台灣的制度看起來很原始對不對用紙本投票 票鬼取票 檢票唱票看起來就跟算盤一樣好 一個蘿蔔 一個動作 一個口令然後彙整後呢 全程公開選民信任雖然成本比較高 但是在開票耗時短沒有運送檢票的爭議那為什麼台灣要開倒車去破壞現有的制度呢也不完全我們認為不在一起投票就是一種反動他其實想要解決問題要解決什麼問題 我們往下看
transcript.whisperx[7].start 184.947
transcript.whisperx[7].end 196.303
transcript.whisperx[7].text 其實如果我們要解決一個問題沒有成功反而創造更大的問題你們看一看就在2024年那時候美國大選虛假訊息公眾就有質疑然而在2018年台灣也經歷過公投並大選造成了呢
transcript.whisperx[8].start 199.787
transcript.whisperx[8].end 205.008
transcript.whisperx[8].text 選舉的過程非常混亂還造成了包括市長的候選人之一提起了選舉訴訟那個直到一年之後才決定所以我們看到在台北市剛剛幾位像新竹縣的選委會的副總幹事台北市的選委會的副總幹事都提到了這些人口密集的地方我們所做的一些變革會不會招來我們想像不到的後果呢一定要慎重不要邊嗨邊投選舉不公往下看
transcript.whisperx[9].start 228.334
transcript.whisperx[9].end 246.345
transcript.whisperx[9].text 所以如果要便利投票我們看看目前的預算問題是什麼問題是有些人因為部分公民因為職業的屬性他沒有辦法有效率的便利去參與或者說返鄉投票成本高那當然我們看一下目前有不在籍投票或移轉投票的版本當中規範不清選民混亂剛剛幾個人提出的問題幾位選務副總幹事都提到了
transcript.whisperx[10].start 252.288
transcript.whisperx[10].end 272.258
transcript.whisperx[10].text 包括呢我看到我們的報告當中啊有些這個學者專家認為呢我看有一個大致的取向在現實便利跟恐懼當中我們不能徘徊太久我同意這個引述但是我們要知道選務工作我們移轉投票不是像三眼療癒那麼簡單就把它移轉過去你要想想看我們的選票不是現場輸出的那麼多選票七千多種組合排列
transcript.whisperx[11].start 281.483
transcript.whisperx[11].end 305.292
transcript.whisperx[11].text 雖然你可以用這樣的方式去處理但是選務的工作怎麼解決所以呢我們認為目前提前放假交通便利房子這些都是我們可以考慮的最後的結論來兩個台灣投票模式已經累積社會信用任何嘗試要漸進要規劃要審慎推動而且消除投票的障礙不在即不是唯一的解方多元方案都可以納入評估
transcript.whisperx[12].start 306.172
transcript.whisperx[12].end 314.924
transcript.whisperx[12].text 包括全國一致性的總統或全國性的公投或許可以先考慮採行但是我們機會的選舉制度不容一下子全面更動 以上