iVOD / 161824

Field Value
IVOD_ID 161824
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161824
日期 2025-05-22
會議資料.會議代碼 委員會-11-3-19-14
會議資料.會議代碼:str 第11屆第3會期經濟委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第14次全體委員會議
影片種類 Clip
開始時間 2025-05-22T12:09:13+08:00
結束時間 2025-05-22T12:15:19+08:00
影片長度 00:06:06
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1976c9e92d55c2f9183585b54911d4f1c1afe2edc2e0cc67672ba64a6a255857142f2a7614d0e9965ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 12:09:13 - 12:15:19
會議時間 2025-05-22T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第14次全體委員會議(事由:一、處理或審查114年度中央政府總預算有關經濟部及所屬主管預算凍結案等39案。 二、處理或審查114年度中央政府總預算有關國家發展委員會及所屬主管預算凍結案等21案。 三、繼續審查: (一)行政院函請審議「個人資料保護法部分條文修正草案」案。 (二)本院委員王美惠等18人擬具「個人資料保護法部分條文修正草案」案。 (三)本院委員羅廷瑋等17人擬具「個人資料保護法部分條文修正草案」案。 (四)本院委員李坤城等16人擬具「個人資料保護法部分條文修正草案」案。 (五)本院委員郭昱晴等19人擬具「個人資料保護法部分條文修正草案」案。 (六)本院委員陳亭妃等16人擬具「個人資料保護法第十二條、第二十七條及第四十八條條文修正草案」案。 (七)本院委員蔡易餘等18人擬具「個人資料保護法部分條文修正草案」案。 (第六案及第七案如未接獲議事處來函則不予審查。))
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 3.30471875
transcript.pyannote[0].end 10.47659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.96596875
transcript.pyannote[1].end 12.16409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 15.31971875
transcript.pyannote[2].end 15.97784375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 29.49471875
transcript.pyannote[3].end 35.01284375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 35.48534375
transcript.pyannote[4].end 40.17659375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 41.23971875
transcript.pyannote[5].end 44.34471875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 44.93534375
transcript.pyannote[6].end 48.49596875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 49.00221875
transcript.pyannote[7].end 52.07346875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 52.71471875
transcript.pyannote[8].end 53.55846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 53.89596875
transcript.pyannote[9].end 54.72284375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 56.02221875
transcript.pyannote[10].end 56.71409375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 57.40596875
transcript.pyannote[11].end 59.17784375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 59.65034375
transcript.pyannote[12].end 60.96659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 62.19846875
transcript.pyannote[13].end 63.91971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 64.88159375
transcript.pyannote[14].end 65.69159375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 66.40034375
transcript.pyannote[15].end 67.41284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 67.93596875
transcript.pyannote[16].end 68.94846875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 69.80909375
transcript.pyannote[17].end 71.10846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 72.61034375
transcript.pyannote[18].end 73.40346875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 73.77471875
transcript.pyannote[19].end 75.73221875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 76.50846875
transcript.pyannote[20].end 78.65159375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 80.13659375
transcript.pyannote[21].end 83.95034375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 84.92909375
transcript.pyannote[22].end 86.11034375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 87.27471875
transcript.pyannote[23].end 89.67096875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 90.66659375
transcript.pyannote[24].end 92.87721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 93.67034375
transcript.pyannote[25].end 94.78409375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 95.69534375
transcript.pyannote[26].end 98.47971875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 98.73284375
transcript.pyannote[27].end 100.25159375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 100.87596875
transcript.pyannote[28].end 101.71971875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 102.58034375
transcript.pyannote[29].end 103.66034375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 104.75721875
transcript.pyannote[30].end 105.98909375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 109.39784375
transcript.pyannote[31].end 110.66346875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 112.24971875
transcript.pyannote[32].end 113.92034375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 115.11846875
transcript.pyannote[33].end 116.82284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 118.02096875
transcript.pyannote[34].end 120.06284375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 121.09221875
transcript.pyannote[35].end 122.59409375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 124.38284375
transcript.pyannote[36].end 125.20971875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 125.41221875
transcript.pyannote[37].end 126.25596875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 126.66096875
transcript.pyannote[38].end 129.02346875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 129.83346875
transcript.pyannote[39].end 130.71096875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 131.80784375
transcript.pyannote[40].end 133.17471875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 133.39409375
transcript.pyannote[41].end 134.64284375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 135.60471875
transcript.pyannote[42].end 137.14034375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 137.56221875
transcript.pyannote[43].end 138.32159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 138.91221875
transcript.pyannote[44].end 140.65034375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 141.86534375
transcript.pyannote[45].end 144.10971875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 144.70034375
transcript.pyannote[46].end 146.03346875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 146.03346875
transcript.pyannote[47].end 146.26971875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 146.26971875
transcript.pyannote[48].end 146.35409375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 146.35409375
transcript.pyannote[49].end 146.37096875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 146.80971875
transcript.pyannote[50].end 147.80534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 149.30721875
transcript.pyannote[51].end 151.61909375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 151.73721875
transcript.pyannote[52].end 155.55096875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 155.83784375
transcript.pyannote[53].end 158.04846875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 156.66471875
transcript.pyannote[54].end 160.51221875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 161.08596875
transcript.pyannote[55].end 162.26721875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 162.75659375
transcript.pyannote[56].end 165.84471875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 167.00909375
transcript.pyannote[57].end 169.11846875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 169.72596875
transcript.pyannote[58].end 170.70471875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 171.98721875
transcript.pyannote[59].end 173.65784375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 175.04159375
transcript.pyannote[60].end 178.29846875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 179.05784375
transcript.pyannote[61].end 182.24721875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 183.78284375
transcript.pyannote[62].end 185.62221875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 185.62221875
transcript.pyannote[63].end 185.67284375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 185.67284375
transcript.pyannote[64].end 185.68971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 185.68971875
transcript.pyannote[65].end 185.90909375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 185.90909375
transcript.pyannote[66].end 185.97659375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 186.44909375
transcript.pyannote[67].end 187.05659375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 188.20409375
transcript.pyannote[68].end 191.96721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 192.38909375
transcript.pyannote[69].end 193.09784375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 193.58721875
transcript.pyannote[70].end 195.62909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 196.54034375
transcript.pyannote[71].end 202.76721875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 203.30721875
transcript.pyannote[72].end 204.55596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 207.28971875
transcript.pyannote[73].end 212.40284375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 212.99346875
transcript.pyannote[74].end 213.55034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 213.55034375
transcript.pyannote[75].end 213.73596875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 213.73596875
transcript.pyannote[76].end 213.97221875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 213.97221875
transcript.pyannote[77].end 216.46971875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 216.62159375
transcript.pyannote[78].end 216.97596875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 217.16159375
transcript.pyannote[79].end 217.17846875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 217.17846875
transcript.pyannote[80].end 217.70159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 218.66346875
transcript.pyannote[81].end 220.30034375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 221.05971875
transcript.pyannote[82].end 224.11409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 224.87346875
transcript.pyannote[83].end 226.94909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 229.09221875
transcript.pyannote[84].end 235.03221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 235.03221875
transcript.pyannote[85].end 235.79159375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 237.32721875
transcript.pyannote[86].end 261.34034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 262.25159375
transcript.pyannote[87].end 263.97284375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 263.97284375
transcript.pyannote[88].end 264.24284375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 264.24284375
transcript.pyannote[89].end 264.29346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 264.32721875
transcript.pyannote[90].end 264.61409375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 264.74909375
transcript.pyannote[91].end 264.78284375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 264.78284375
transcript.pyannote[92].end 266.11596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 265.67721875
transcript.pyannote[93].end 267.04409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 267.22971875
transcript.pyannote[94].end 270.25034375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 271.61721875
transcript.pyannote[95].end 273.70971875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 274.35096875
transcript.pyannote[96].end 276.07221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 276.96659375
transcript.pyannote[97].end 278.09721875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 278.09721875
transcript.pyannote[98].end 279.76784375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 278.11409375
transcript.pyannote[99].end 279.34596875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 280.34159375
transcript.pyannote[100].end 282.77159375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 283.19346875
transcript.pyannote[101].end 283.80096875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 284.20596875
transcript.pyannote[102].end 285.53909375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 287.86784375
transcript.pyannote[103].end 288.64409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 289.50471875
transcript.pyannote[104].end 291.32721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 293.99346875
transcript.pyannote[105].end 298.22909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 298.34721875
transcript.pyannote[106].end 301.41846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 301.38471875
transcript.pyannote[107].end 301.40159375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 301.41846875
transcript.pyannote[108].end 301.97534375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 301.99221875
transcript.pyannote[109].end 304.57409375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 305.41784375
transcript.pyannote[110].end 306.14346875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 306.63284375
transcript.pyannote[111].end 308.57346875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 308.87721875
transcript.pyannote[112].end 309.14721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 309.31596875
transcript.pyannote[113].end 310.86846875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 311.52659375
transcript.pyannote[114].end 312.72471875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 313.23096875
transcript.pyannote[115].end 317.56784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 318.02346875
transcript.pyannote[116].end 326.02221875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 326.52846875
transcript.pyannote[117].end 327.52409375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 328.41846875
transcript.pyannote[118].end 329.36346875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 329.75159375
transcript.pyannote[119].end 331.06784375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 330.73034375
transcript.pyannote[120].end 334.27409375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 331.77659375
transcript.pyannote[121].end 332.02971875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 333.36284375
transcript.pyannote[122].end 333.75096875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 334.35846875
transcript.pyannote[123].end 335.84346875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 336.11346875
transcript.pyannote[124].end 337.24409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 337.26096875
transcript.pyannote[125].end 337.27784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 337.27784375
transcript.pyannote[126].end 337.58159375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 337.68284375
transcript.pyannote[127].end 338.18909375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 338.47596875
transcript.pyannote[128].end 339.28596875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 339.74159375
transcript.pyannote[129].end 341.36159375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 342.22221875
transcript.pyannote[130].end 343.31909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 344.41596875
transcript.pyannote[131].end 345.69846875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 346.17096875
transcript.pyannote[132].end 347.48721875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 347.94284375
transcript.pyannote[133].end 349.30971875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 349.98471875
transcript.pyannote[134].end 356.05971875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 356.21159375
transcript.pyannote[135].end 358.91159375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 358.91159375
transcript.pyannote[136].end 358.92846875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 358.92846875
transcript.pyannote[137].end 358.94534375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 359.38409375
transcript.pyannote[138].end 359.73846875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 359.50221875
transcript.pyannote[139].end 360.00846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 360.00846875
transcript.pyannote[140].end 360.02534375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 360.07596875
transcript.pyannote[141].end 360.41346875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 360.54846875
transcript.pyannote[142].end 361.30784375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 364.26096875
transcript.pyannote[143].end 365.32409375
transcript.whisperx[0].start 3.709
transcript.whisperx[0].end 15.684
transcript.whisperx[0].text 謝謝主席麻煩有請經濟部部長以及地礦中心的主任還有台糖公司的代表好來請相關單位委員好
transcript.whisperx[1].start 29.777
transcript.whisperx[1].end 53.336
transcript.whisperx[1].text 三位好 時間的關係不宜問候今天問題比較具體一點 所以部長如果不熟的話請台堂或是請地方局中心待會回答我沒有問題是 謝謝之前我一直在追台堂的弊案國營事業的董事長拿來酬庸已經很扯了結果給你當國營事業的董事長胡搞瞎搞搞到納稅人
transcript.whisperx[2].start 57.829
transcript.whisperx[2].end 77.874
transcript.whisperx[2].text 賤賣國營事業的土地我講的就是無乃人賤賣國營事業的土地結果呢結果現在判刑確定了官也官出來了問題是欠納稅人的錢要還這為什麼我從去年就開始追啊你敢這樣胡搞瞎搞每一分每一毛全部都要給我要回來
transcript.whisperx[3].start 85.017
transcript.whisperx[3].end 105.888
transcript.whisperx[3].text 所以我一直在追我們的台堂到底有沒有積極的去追討上一次我跟你們在討論的時候說沒辦法啊我們就請他查我們查不到他的財產啊那大碎人很困惑啊沒有財產出入club療癒狀大爆炸說死晚宴開BMW7系列
transcript.whisperx[4].start 115.909
transcript.whisperx[4].end 142.467
transcript.whisperx[4].text 這什麼跟什麼啊這社會還有基本的公平正義嗎還是只要有權有勢我撈夠了 我撈飽了 納稅很了得關我什麼事啊 給皮皮啊所以我才要台堂啊 好好去追蹤啊我之前有建議你們啦 說依照強制執勤法的規定命他據實報告財產狀況
transcript.whisperx[5].start 144.744
transcript.whisperx[5].end 172.575
transcript.whisperx[5].text 這件事台台後來有沒有做有那個台中地院那個地院已經在3月25號的時候有請這個三位的要說出他的財產3月20號 今年3月20號嘛今年3月25 然後4月24號先停一下啦我們一樣一樣來嘛啊為什麼今年3月25才要他拒之報告財產狀況台中地院在幹嘛 在混喔欠多久啦等到在國會質詢啊
transcript.whisperx[6].start 175.08
transcript.whisperx[6].end 201.892
transcript.whisperx[6].text 台中秘院才忽然想起來強制執行法怎麼規定啊強制執行法不熟幹什麼民事執行處的法官啊司法單位的我們大概也是不是啦我請你們去做的事你們有去做我就不會為難你聽得懂嗎我上次質詢的時候就問你們嘛有沒有要求法院命他報告財產狀況嘛那現在法院終於命他報告財產狀況了嘛報告的結果是什麼
transcript.whisperx[7].start 207.638
transcript.whisperx[7].end 225.848
transcript.whisperx[7].text 報告委員 這個無乃人等人並沒有回報等下提一下法院要無乃人報告財產狀況無乃人沒有回報現在無乃人是覺得怎麼樣法院要他報告財產狀況他也給批批啊真的覺得自己是皇親國戚喔台中地院要求無乃人報告財產狀況無乃連人甩都不甩台中地院接下來要做什麼事
transcript.whisperx[8].start 237.732
transcript.whisperx[8].end 251.837
transcript.whisperx[8].text 台中地院是有什麼樣的動作我們不太清楚我們後來4月24號的時候我們台湯就有給無難人一封函要請他趕快歸還財產4月30號的時候我們台湯已經有具體的請台中地院向台中法院要管收這三位
transcript.whisperx[9].start 262.298
transcript.whisperx[9].end 289.957
transcript.whisperx[9].text 你有申請要管說無乃人了嘛管說的理由是什麼管說的理由是什麼沒有據實報告財產狀況要他報告連報告都不報告台中地方法院裁了沒有沒關係啊我們靜候靜候台中地方法院的判斷主席再一分鐘再一題就好了可以嗎好謝謝來請地礦中心
transcript.whisperx[10].start 294.022
transcript.whisperx[10].end 317.398
transcript.whisperx[10].text 那個喔 我3月的時候有跟你們講 那個馬槽啊 在那邊噴煙啊然後你們答應我馬上要封 所以我親自跑一趟然後我親自去現場了以後 你們跟我說封好了那結果 然後你也跟我說4月會完工那結果來來來 看一下 測到5月去測 還有氣體冒出有超過10ppm的硫化氫 這是旁邊的機器啊
transcript.whisperx[11].start 318.132
transcript.whisperx[11].end 342.918
transcript.whisperx[11].text 所以現在狀況到底怎麼樣 這個還要拖多久包委員 現在我們正在跟養管處做水保的申請還要跟那個水保署一起來申請那個時間的關係 我最後只跟你們講重點第一個 我跟你們講這件事你們答應我要做結果做到現在還有10ppm的硫化金我沒有住在那裡
transcript.whisperx[12].start 344.482
transcript.whisperx[12].end 360.777
transcript.whisperx[12].text 但是有人住在那裡那裡也很多遊客三月跟你們講囉結果到現在還在冒有毒氣體拜託你們不管是你們自己還是那邊的承包商這個事情趕快處理好不好是可以齁可以好 謝謝好 謝謝