iVOD / 161026

Field Value
IVOD_ID 161026
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161026
日期 2025-05-07
會議資料.會議代碼 委員會-11-3-15-17
會議資料.會議代碼:str 第11屆第3會期內政委員會第17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 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第17次全體委員會議
影片種類 Clip
開始時間 2025-05-07T12:25:03+08:00
結束時間 2025-05-07T12:36:41+08:00
影片長度 00:11:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0a74d2e02c378e062fe4073b309de35f04869f6baa92091db4f448269aea9776288fdc86b9d8d4b55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王鴻薇
委員發言時間 12:25:03 - 12:36:41
會議時間 2025-05-07T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第17次全體委員會議(事由:邀請中央選舉委員會主任委員列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 3.15284375
transcript.pyannote[0].end 4.55346875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 4.67159375
transcript.pyannote[1].end 6.30846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 6.69659375
transcript.pyannote[2].end 7.30409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 7.65846875
transcript.pyannote[3].end 8.35034375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 13.96971875
transcript.pyannote[4].end 37.30784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 37.49346875
transcript.pyannote[5].end 41.47596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 42.30284375
transcript.pyannote[6].end 52.37721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 44.63159375
transcript.pyannote[7].end 44.90159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 50.04846875
transcript.pyannote[8].end 50.30159375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 50.82471875
transcript.pyannote[9].end 52.29284375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 52.56284375
transcript.pyannote[10].end 64.99971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 65.26971875
transcript.pyannote[11].end 68.98221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 69.53909375
transcript.pyannote[12].end 74.68596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 74.98971875
transcript.pyannote[13].end 77.80784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 76.08659375
transcript.pyannote[14].end 79.05659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 78.63471875
transcript.pyannote[15].end 83.20784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 83.27534375
transcript.pyannote[16].end 93.65346875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 94.58159375
transcript.pyannote[17].end 97.97346875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 96.47159375
transcript.pyannote[18].end 96.91034375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 97.12971875
transcript.pyannote[19].end 98.61471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 98.47971875
transcript.pyannote[20].end 99.77909375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 99.84659375
transcript.pyannote[21].end 101.39909375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 101.38221875
transcript.pyannote[22].end 101.53409375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 102.20909375
transcript.pyannote[23].end 103.96409375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 103.15409375
transcript.pyannote[24].end 106.05659375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 105.11159375
transcript.pyannote[25].end 108.60471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 109.06034375
transcript.pyannote[26].end 117.12659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 115.52346875
transcript.pyannote[27].end 119.55659375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 119.79284375
transcript.pyannote[28].end 122.00346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 122.32409375
transcript.pyannote[29].end 142.37159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 143.04659375
transcript.pyannote[30].end 143.60346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 144.17721875
transcript.pyannote[31].end 145.20659375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 146.03346875
transcript.pyannote[32].end 147.26534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 147.41721875
transcript.pyannote[33].end 153.67784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 154.52159375
transcript.pyannote[34].end 156.04034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 156.47909375
transcript.pyannote[35].end 157.99784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 158.08221875
transcript.pyannote[36].end 159.98909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 161.03534375
transcript.pyannote[37].end 165.25409375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 165.64221875
transcript.pyannote[38].end 171.98721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 172.56096875
transcript.pyannote[39].end 174.90659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 175.31159375
transcript.pyannote[40].end 178.46721875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 178.58534375
transcript.pyannote[41].end 179.71596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 180.23909375
transcript.pyannote[42].end 183.68159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 183.96846875
transcript.pyannote[43].end 186.56721875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 186.98909375
transcript.pyannote[44].end 192.72659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 193.28346875
transcript.pyannote[45].end 203.29034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 203.61096875
transcript.pyannote[46].end 204.52221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 205.06221875
transcript.pyannote[47].end 206.91846875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 207.84659375
transcript.pyannote[48].end 214.30971875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 215.27159375
transcript.pyannote[49].end 218.93346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 218.95034375
transcript.pyannote[50].end 222.08909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 222.32534375
transcript.pyannote[51].end 223.74284375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 223.89471875
transcript.pyannote[52].end 237.25971875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 237.73221875
transcript.pyannote[53].end 245.69721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 246.97971875
transcript.pyannote[54].end 251.94096875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 252.54846875
transcript.pyannote[55].end 252.98721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 253.84784375
transcript.pyannote[56].end 256.75034375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 257.42534375
transcript.pyannote[57].end 261.00284375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 261.81284375
transcript.pyannote[58].end 264.52971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 265.23846875
transcript.pyannote[59].end 269.13659375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 269.47409375
transcript.pyannote[60].end 278.51909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 272.52846875
transcript.pyannote[61].end 274.01346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 274.94159375
transcript.pyannote[62].end 276.64596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 278.51909375
transcript.pyannote[63].end 283.83471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 279.22784375
transcript.pyannote[64].end 295.17471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 295.39409375
transcript.pyannote[65].end 296.18721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 296.84534375
transcript.pyannote[66].end 317.39909375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 315.01971875
transcript.pyannote[67].end 321.61784375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 319.52534375
transcript.pyannote[68].end 330.44346875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 325.71846875
transcript.pyannote[69].end 325.90409375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 330.10596875
transcript.pyannote[70].end 330.64596875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 330.59534375
transcript.pyannote[71].end 332.40096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 333.05909375
transcript.pyannote[72].end 335.87721875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 336.19784375
transcript.pyannote[73].end 344.33159375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 340.83846875
transcript.pyannote[74].end 340.88909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 340.93971875
transcript.pyannote[75].end 350.08596875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 344.44971875
transcript.pyannote[76].end 344.87159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 345.31034375
transcript.pyannote[77].end 349.96784375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 350.13659375
transcript.pyannote[78].end 352.14471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 352.24596875
transcript.pyannote[79].end 368.59784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 357.51096875
transcript.pyannote[80].end 360.80159375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 368.69909375
transcript.pyannote[81].end 369.96471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 370.26846875
transcript.pyannote[82].end 371.46659375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 371.82096875
transcript.pyannote[83].end 373.15409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 373.54221875
transcript.pyannote[84].end 387.58221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 388.10534375
transcript.pyannote[85].end 391.42971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 391.53096875
transcript.pyannote[86].end 400.84596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 397.72409375
transcript.pyannote[87].end 401.35221875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 401.25096875
transcript.pyannote[88].end 424.94346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 414.37971875
transcript.pyannote[89].end 414.91971875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 425.11221875
transcript.pyannote[90].end 427.20471875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 427.59284375
transcript.pyannote[91].end 432.52034375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 433.02659375
transcript.pyannote[92].end 462.33846875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 463.51971875
transcript.pyannote[93].end 474.37034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 474.67409375
transcript.pyannote[94].end 478.60596875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 479.01096875
transcript.pyannote[95].end 485.98034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 486.43596875
transcript.pyannote[96].end 491.11034375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 491.63346875
transcript.pyannote[97].end 492.51096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 493.32096875
transcript.pyannote[98].end 494.87346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 495.24471875
transcript.pyannote[99].end 495.83534375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 496.25721875
transcript.pyannote[100].end 496.94909375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 497.72534375
transcript.pyannote[101].end 504.61034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 505.38659375
transcript.pyannote[102].end 509.87534375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 510.01034375
transcript.pyannote[103].end 522.90284375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 523.57784375
transcript.pyannote[104].end 532.18409375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 533.01096875
transcript.pyannote[105].end 536.89221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 537.28034375
transcript.pyannote[106].end 539.82846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 540.30096875
transcript.pyannote[107].end 542.89971875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 543.13596875
transcript.pyannote[108].end 548.11409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 548.11409375
transcript.pyannote[109].end 551.65784375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 551.65784375
transcript.pyannote[110].end 552.14721875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 551.84346875
transcript.pyannote[111].end 559.84221875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 560.82096875
transcript.pyannote[112].end 567.50346875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 565.76534375
transcript.pyannote[113].end 588.32721875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 588.37784375
transcript.pyannote[114].end 598.97534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 598.04721875
transcript.pyannote[115].end 602.62034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 602.28284375
transcript.pyannote[116].end 609.28596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 609.28596875
transcript.pyannote[117].end 609.57284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 609.57284375
transcript.pyannote[118].end 624.35534375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 620.03534375
transcript.pyannote[119].end 620.91284375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 623.49471875
transcript.pyannote[120].end 627.46034375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 625.48596875
transcript.pyannote[121].end 626.24534375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 626.46471875
transcript.pyannote[122].end 629.92409375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 630.43034375
transcript.pyannote[123].end 635.22284375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 634.07534375
transcript.pyannote[124].end 637.06221875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 635.45909375
transcript.pyannote[125].end 639.98159375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 641.01096875
transcript.pyannote[126].end 643.76159375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 643.28909375
transcript.pyannote[127].end 659.79284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 649.65096875
transcript.pyannote[128].end 651.05159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 656.72159375
transcript.pyannote[129].end 680.11034375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 660.36659375
transcript.pyannote[130].end 662.32409375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 666.72846875
transcript.pyannote[131].end 670.13721875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 670.69409375
transcript.pyannote[132].end 671.97659375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 673.32659375
transcript.pyannote[133].end 678.49034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 678.69284375
transcript.pyannote[134].end 681.32534375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 681.78096875
transcript.pyannote[135].end 694.47096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 683.01284375
transcript.pyannote[136].end 684.39659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 687.87284375
transcript.pyannote[137].end 688.14284375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 694.47096875
transcript.pyannote[138].end 697.72784375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 694.52159375
transcript.pyannote[139].end 694.57221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 697.96409375
transcript.pyannote[140].end 698.26784375
transcript.whisperx[0].start 3.188
transcript.whisperx[0].end 8.026
transcript.whisperx[0].text 好謝謝主席請李競勇李主委李主委有請
transcript.whisperx[1].start 14.791
transcript.whisperx[1].end 41.044
transcript.whisperx[1].text 主委好主委你的選舉經驗很豐富所以基本上以現在來講就是司法單位針對現在的所謂的這個連署不管死人連署或偽造連署在大規模的偵辦這個不管是過去在選舉也好或現在的罷免也好會不會影響選民的行為
transcript.whisperx[2].start 42.798
transcript.whisperx[2].end 68.598
transcript.whisperx[2].text 這部分我們不便評論因為現在這個罷免的階段已經進入到第二階段可以說是我的意思是說當現在這個司法單位在大規模的這個調查的時候甚至有約刑或者有羈押會不會讓一些要去連署或者不願意去連署會改變他的行為
transcript.whisperx[3].start 69.814
transcript.whisperx[3].end 93.049
transcript.whisperx[3].text 我希望委員能夠理解我們選務機關的立場在這個時間所以選務機構的立場就是以不對非選務的事項來妄作評論所以作為選務機關是以不干擾不管是選舉跟罷免最後結果為最高指導原則對吧
transcript.whisperx[4].start 95.068
transcript.whisperx[4].end 100.869
transcript.whisperx[4].text 結果我們沒有辦法負責過程我們要負責過程我們要負責對過程不能去影響嘛我講的對不對你同意嗎我們完全要按照法律的規定來執行我講的這個原則就是選務機關不應該去影響到選舉或罷免的最後結果應該以這樣的一個原則根本就不應該去在乎黃論影響
transcript.whisperx[5].start 119.833
transcript.whisperx[5].end 139.264
transcript.whisperx[5].text 好所以我講的沒有錯嘛那我想請問一下因為在這一次檢調單位他們說他們為什麼做這麼大規模的去做調查主要是因為告發主要是因為告發那我想請問主委因為過去我們一直說過連署罷免有連署
transcript.whisperx[6].start 146.049
transcript.whisperx[6].end 171.752
transcript.whisperx[6].text 公投有連署總統和副總統選舉也有連署而過去呢有沒有死亡跟偽造連署也都有或多或少也都有有的也很多譬如說當時郭台銘他有5271份包含死人連署跟偽造連署當時媒體用所謂的亡靈大軍來形容
transcript.whisperx[7].start 173.015
transcript.whisperx[7].end 192.35
transcript.whisperx[7].text 那中選會有沒有告發中選會也是一致的都會告發好都會告發但是這次中選會最大的不同是過去所有的告發有關聯署告發都是在聯署結束之後
transcript.whisperx[8].start 193.912
transcript.whisperx[8].end 213.834
transcript.whisperx[8].text 來予以告罰都是在整個的連署結束之後有發現因為最後經過查對有死人連署有這個偽造連署全部都是在連署結束之後才予以告罰有些甚至都在選舉之後再予以告罰
transcript.whisperx[9].start 215.322
transcript.whisperx[9].end 236.918
transcript.whisperx[9].text 不管是過去我現在看到資料不管是從108年開始或者是去年去年有基隆市的市長選舉你們的原則都是一致的那請問一下今年為什麼不一致也就是說這個連署還在進行中
transcript.whisperx[10].start 237.859
transcript.whisperx[10].end 257.935
transcript.whisperx[10].text 而中選會決定在進行中在進行式裡面就直接去告發我不曉得這樣的完全跟過去完全不一致的標準是有什麼樣的理由難道這樣子你們沒有討論過這樣子會影響連署的結果嗎
transcript.whisperx[11].start 261.84
transcript.whisperx[11].end 278.281
transcript.whisperx[11].text 我很简单的讲三点理由第一点理由根据刑事诉讼法241条规定执行职务发现有犯罪嫌疑者应为告发过去也是如此职务上的告发过去也有告发所以这个告发是合法的这是第一点
transcript.whisperx[12].start 278.541
transcript.whisperx[12].end 282.983
transcript.whisperx[12].text 第二點就是今年的情形非常特殊因為2月3號開始送件以後民間的告發就陸續的呈現了
transcript.whisperx[13].start 296.889
transcript.whisperx[13].end 307.978
transcript.whisperx[13].text 那不但是這個樣子減掉機關從今年的2月到3月之間就一共來的14次要我們提供這些茶隊的資料也就是說這個茶隊發現的這個這個可能違法
transcript.whisperx[14].start 315.223
transcript.whisperx[14].end 330.324
transcript.whisperx[14].text 過去檢調有沒有在聯署過程裡面請求中選會提出查對資料沒有這麼大規模這次是大規模所以這是第二點因為規模很大了我們乾脆就這個時候把它送過去這是第二點第三點
transcript.whisperx[15].start 333.127
transcript.whisperx[15].end 342.177
transcript.whisperx[15].text 我們如果是愛惜這個制度不希望有過有太多的違法的事情發生那在它剛發生的時候你就把它堵住你過去我剛才提出來了過去這麼多這麼多的罷免
transcript.whisperx[16].start 352.947
transcript.whisperx[16].end 369.556
transcript.whisperx[16].text 或者公投联署都有难道过去中选会不爱行这个联署制度吗所以你讲的挤出了三点理由唯有第二点理由你说因为是大规模是因为大规模的关系但是我刚才也跟大家说了
transcript.whisperx[17].start 370.336
transcript.whisperx[17].end 387.303
transcript.whisperx[17].text 那麼當時的這個郭台銘參選總統他的規模也很大五千多份不可為之不多但是呢你們都是採取了一個在整個的連署也就是罷免成立之後
transcript.whisperx[18].start 388.163
transcript.whisperx[18].end 399.756
transcript.whisperx[18].text 後才做告發所以這個是這一次確實有非常非常奇怪的完全的不一樣的標準另外來 主委另外請教一下這個領銜人
transcript.whisperx[19].start 403.12
transcript.whisperx[19].end 432.007
transcript.whisperx[19].text 的退團那當然很多都集中在就是罷免吳思瑤委員的張克進先生那現在當然罷團他也採取了根據選罷法相關規定他們就去再要求這個提議人再通知提議人那另外一個罷團這個事實上是也是國民黨的立委就是罷羅明財委員那他這個李賢仁呢他是對媒體表示他想要退團
transcript.whisperx[20].start 433.067
transcript.whisperx[20].end 460.032
transcript.whisperx[20].text 但他退不了因為這個規定非常嚴格好大家都知道這個嚴格的不得了現在看起來呢除非你死掉了啊不然的話你就要很很辛苦的去要去把那個第一階段的提議人全部要要要二分之一啊那他當然他的理由是說因為他現在他本身被架空了所以很多霸團做的事情他很擔心如果有什麼違法的事情最後他都有責任好所以現在呢回過頭來就是以這兩個案例來講啊
transcript.whisperx[21].start 463.784
transcript.whisperx[21].end 490.586
transcript.whisperx[21].text 現在比如說很多罷談都說他的連署的成績非常好比如說有高達140啦有人說160啦未來還說有200%啦那也就是說在整個的罷免最後的結果這麼多萬份但是因為一位的領銜人因為一位的領銜人他可能要否定全部三四萬份五萬份五萬名
transcript.whisperx[22].start 493.359
transcript.whisperx[22].end 496.528
transcript.whisperx[22].text 公民選民的意願合理嗎
transcript.whisperx[23].start 497.982
transcript.whisperx[23].end 522.686
transcript.whisperx[23].text 就像主委剛剛講說很珍惜這個制度但是我們現在因為領銜人退談難度之高所以使得他即便連署四萬份五萬份出來之後因為可能領銜人基於各種各樣的理由我們剛剛講各式各樣的理由他想要退但他不能退而且剛才講他連簽住戶籍他都不能退所以這樣的一個制度
transcript.whisperx[24].start 523.669
transcript.whisperx[24].end 531.7
transcript.whisperx[24].text 有沒有問題也就是以一個人的意願意志可能他強壓四五萬人的意志那這樣子是民主嗎
transcript.whisperx[25].start 533.072
transcript.whisperx[25].end 559.377
transcript.whisperx[25].text 所以主委這樣的一個規定還是說你們有其他法律解釋的空間沒有其他解釋的空間我必須要很清楚的講因為法律明文規定就是這個樣子但是未來是不是應該做一些修法我剛講就是說一個人去決定四五萬人的意志我一個人不玩了四五萬人也要被迫不玩了合理嗎
transcript.whisperx[26].start 561.191
transcript.whisperx[26].end 576.424
transcript.whisperx[26].text 我並不反對做這樣子的討論我覺得因為在這一次很大規模我們發現這個整個的選罷法有關罷免的部分太多太多漏洞太多太多不合理的地方
transcript.whisperx[27].start 577.145
transcript.whisperx[27].end 601.903
transcript.whisperx[27].text 其實身為中選會主委我還是希望主委跟整個中選會應該要本於行政中立像我剛剛所講的我覺得非常不合理的是過去的標準在這一次全部推翻而只是以為你認為這次是不是大規模這次人數是不是很多這完全是行政解釋的空間嘛大家共同珍惜這個民主的成長
transcript.whisperx[28].start 602.663
transcript.whisperx[28].end 608.608
transcript.whisperx[28].text 我是說過去不要珍惜嘛而且我也講說中選會也本於之前去告發了當時的告發的時間點也一定是針對說我不要因為我告發而去影響最後整個的連署的結果嘛對不對所以我覺得這一點我在這邊喔都是非常良善的建議喔所以我們在選罷閥裡面該做修正喔
transcript.whisperx[29].start 630.527
transcript.whisperx[29].end 639.07
transcript.whisperx[29].text 我們這次你怎麼修都沒有辦法是由於這次選罷法嘛 對不對我一樣是良善的態度 但是我覺得基於台灣民主政治的健康的發展我覺得要做全面性的修法但是如果我們把這個中選會告發的時間的早晚過度去強調的話 社會會有一個錯誤的印象以為說你比較晚來就好了 晚來剛發生的時候
transcript.whisperx[30].start 658.476
transcript.whisperx[30].end 674.185
transcript.whisperx[30].text 這個應該也要有一致的規定這要有一致的規定而不是中選會的主委覺得我在什麼時候告發就應該什麼時候告發這是法治嗎?這不是法治不能取決於主委一個人的感受如果能夠取決於主委一個人的感受這不叫民主這也不叫法治
transcript.whisperx[31].start 681.843
transcript.whisperx[31].end 697.579
transcript.whisperx[31].text 什麼叫合議決定就是你們委員會這樣討論突然就這樣子突然就把它改了我覺得這樣的改變事實上也會成為我們整個連署裡面一大汙點好不好大家共同珍惜民主的成果