iVOD / 167275

Field Value
IVOD_ID 167275
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167275
日期 2026-01-28
影片種類 Clip
開始時間 2026-01-28T09:24:51+08:00
結束時間 2026-01-28T09:32:53+08:00
影片長度 00:08:02
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0b5ec5fbcfced67d451f291e28511d36f4fe19c94b211847e2c12228464ea44c61cd8283283c7cb85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 牛煦庭
委員發言時間 09:24:51 - 09:32:53
會議時間 2026-01-28T09:00:00+08:00
會議名稱 1.游被提名人盈隆-立法院第11屆第4會期內政、司法及法制委員會第2次聯席會議(事由:審查行政院函送中央選舉委員會委員提名名單,游盈隆為委員並為主任委員,胡博硯為委員並為副主任委員,黃文玲、李禮仲、蘇嘉宏、蘇子喬及陳宗義均為委員,請同意案。【1月28日及29日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.41909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.61659375
transcript.pyannote[1].end 7.65846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 8.19846875
transcript.pyannote[2].end 9.27846875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 17.74971875
transcript.pyannote[3].end 18.62721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.96471875
transcript.pyannote[4].end 19.03221875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 19.03221875
transcript.pyannote[5].end 19.84221875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 20.36534375
transcript.pyannote[6].end 21.05721875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 21.52971875
transcript.pyannote[7].end 25.09034375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 25.44471875
transcript.pyannote[8].end 29.68034375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 25.46159375
transcript.pyannote[9].end 25.83284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 29.91659375
transcript.pyannote[10].end 34.35471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 34.84409375
transcript.pyannote[11].end 35.87346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 36.12659375
transcript.pyannote[12].end 47.48346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 47.75346875
transcript.pyannote[13].end 51.24659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 51.48284375
transcript.pyannote[14].end 63.41346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 64.05471875
transcript.pyannote[15].end 64.27409375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 65.33721875
transcript.pyannote[16].end 66.94034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 67.66596875
transcript.pyannote[17].end 67.69971875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 67.69971875
transcript.pyannote[18].end 68.49284375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 69.38721875
transcript.pyannote[19].end 71.24346875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 72.23909375
transcript.pyannote[20].end 73.72409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 75.32721875
transcript.pyannote[21].end 78.92159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 80.86221875
transcript.pyannote[22].end 83.07284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 84.08534375
transcript.pyannote[23].end 89.67096875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 90.59909375
transcript.pyannote[24].end 92.11784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 93.24846875
transcript.pyannote[25].end 95.72909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 96.42096875
transcript.pyannote[26].end 98.91846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 99.55971875
transcript.pyannote[27].end 100.08284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 100.48784375
transcript.pyannote[28].end 102.04034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 102.49596875
transcript.pyannote[29].end 104.70659375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 105.63471875
transcript.pyannote[30].end 108.01409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 108.19971875
transcript.pyannote[31].end 110.02221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 110.51159375
transcript.pyannote[32].end 116.51909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 117.93659375
transcript.pyannote[33].end 118.96596875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 119.30346875
transcript.pyannote[34].end 119.92784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 121.64909375
transcript.pyannote[35].end 122.77971875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 123.01596875
transcript.pyannote[36].end 125.47971875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 126.12096875
transcript.pyannote[37].end 126.98159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 127.42034375
transcript.pyannote[38].end 128.58471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 129.27659375
transcript.pyannote[39].end 130.32284375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 130.69409375
transcript.pyannote[40].end 132.51659375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 133.63034375
transcript.pyannote[41].end 134.32221875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 134.91284375
transcript.pyannote[42].end 137.10659375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 137.46096875
transcript.pyannote[43].end 139.13159375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 137.56221875
transcript.pyannote[44].end 137.59596875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 137.69721875
transcript.pyannote[45].end 137.76471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 139.53659375
transcript.pyannote[46].end 144.07596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 144.07596875
transcript.pyannote[47].end 144.09284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 144.51471875
transcript.pyannote[48].end 144.53159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 144.53159375
transcript.pyannote[49].end 145.59471875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 146.26971875
transcript.pyannote[50].end 153.00284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 153.34034375
transcript.pyannote[51].end 163.87034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 164.52846875
transcript.pyannote[52].end 188.77784375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 188.79471875
transcript.pyannote[53].end 189.67221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 189.87471875
transcript.pyannote[54].end 192.49034375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 193.03034375
transcript.pyannote[55].end 193.48596875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 194.27909375
transcript.pyannote[56].end 196.21971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 196.87784375
transcript.pyannote[57].end 197.85659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 198.85221875
transcript.pyannote[58].end 200.16846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 201.09659375
transcript.pyannote[59].end 203.03721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 203.03721875
transcript.pyannote[60].end 204.21846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 204.85971875
transcript.pyannote[61].end 205.73721875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 205.97346875
transcript.pyannote[62].end 213.76971875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 215.00159375
transcript.pyannote[63].end 220.51971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 220.99221875
transcript.pyannote[64].end 223.99596875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 224.31659375
transcript.pyannote[65].end 224.73846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 225.00846875
transcript.pyannote[66].end 225.78471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 227.20221875
transcript.pyannote[67].end 229.12596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 229.71659375
transcript.pyannote[68].end 230.49284375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 231.15096875
transcript.pyannote[69].end 233.47971875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 233.91846875
transcript.pyannote[70].end 234.79596875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 235.65659375
transcript.pyannote[71].end 236.46659375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 236.77034375
transcript.pyannote[72].end 239.74034375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 240.80346875
transcript.pyannote[73].end 241.63034375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 241.98471875
transcript.pyannote[74].end 242.54159375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 243.52034375
transcript.pyannote[75].end 244.56659375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 245.68034375
transcript.pyannote[76].end 246.87846875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 247.16534375
transcript.pyannote[77].end 248.54909375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 249.56159375
transcript.pyannote[78].end 253.66221875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 254.37096875
transcript.pyannote[79].end 255.48471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 256.75034375
transcript.pyannote[80].end 257.37471875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 258.47159375
transcript.pyannote[81].end 265.72784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 266.28471875
transcript.pyannote[82].end 271.66784375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 272.29221875
transcript.pyannote[83].end 273.18659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 273.52409375
transcript.pyannote[84].end 277.69221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 279.04221875
transcript.pyannote[85].end 279.59909375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 280.59471875
transcript.pyannote[86].end 282.63659375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 283.75034375
transcript.pyannote[87].end 285.89346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 286.50096875
transcript.pyannote[88].end 288.35721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 290.04471875
transcript.pyannote[89].end 290.60159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 290.97284375
transcript.pyannote[90].end 291.96846875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 292.71096875
transcript.pyannote[91].end 294.02721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 295.22534375
transcript.pyannote[92].end 300.00096875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 301.97534375
transcript.pyannote[93].end 302.00909375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 302.00909375
transcript.pyannote[94].end 308.11784375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 302.04284375
transcript.pyannote[95].end 303.12284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 308.21909375
transcript.pyannote[96].end 309.34971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 308.26971875
transcript.pyannote[97].end 308.67471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 309.34971875
transcript.pyannote[98].end 309.83909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 309.83909375
transcript.pyannote[99].end 310.68284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 310.68284375
transcript.pyannote[100].end 310.69971875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 312.53909375
transcript.pyannote[101].end 315.69471875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 316.87596875
transcript.pyannote[102].end 318.37784375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 319.00221875
transcript.pyannote[103].end 320.28471875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 320.58846875
transcript.pyannote[104].end 321.87096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 325.22909375
transcript.pyannote[105].end 335.06721875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 335.21909375
transcript.pyannote[106].end 339.03284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 335.53971875
transcript.pyannote[107].end 337.02471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 339.20159375
transcript.pyannote[108].end 339.80909375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 340.66971875
transcript.pyannote[109].end 341.36159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 341.98596875
transcript.pyannote[110].end 343.08284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 343.55534375
transcript.pyannote[111].end 344.29784375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 344.85471875
transcript.pyannote[112].end 347.57159375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 347.80784375
transcript.pyannote[113].end 349.78221875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 350.59221875
transcript.pyannote[114].end 353.12346875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 353.35971875
transcript.pyannote[115].end 354.01784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 353.56221875
transcript.pyannote[116].end 353.73096875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 354.57471875
transcript.pyannote[117].end 355.16534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 354.87846875
transcript.pyannote[118].end 357.25784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 357.66284375
transcript.pyannote[119].end 359.78909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 359.48534375
transcript.pyannote[120].end 363.63659375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 360.19409375
transcript.pyannote[121].end 360.53159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 364.29471875
transcript.pyannote[122].end 367.43346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 367.07909375
transcript.pyannote[123].end 370.82534375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 367.83846875
transcript.pyannote[124].end 369.07034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 369.50909375
transcript.pyannote[125].end 369.81284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 370.01534375
transcript.pyannote[126].end 374.28471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 374.62221875
transcript.pyannote[127].end 378.16596875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 377.69346875
transcript.pyannote[128].end 402.39846875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 402.75284375
transcript.pyannote[129].end 404.32221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 404.55846875
transcript.pyannote[130].end 415.76346875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 415.64534375
transcript.pyannote[131].end 417.99096875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 419.02034375
transcript.pyannote[132].end 420.82596875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 421.18034375
transcript.pyannote[133].end 421.48409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 421.70346875
transcript.pyannote[134].end 424.99409375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 425.78721875
transcript.pyannote[135].end 427.25534375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 427.69409375
transcript.pyannote[136].end 428.50409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 429.49971875
transcript.pyannote[137].end 434.20784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 435.10221875
transcript.pyannote[138].end 439.70909375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 439.84409375
transcript.pyannote[139].end 440.45159375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 441.00846875
transcript.pyannote[140].end 442.15596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 442.56096875
transcript.pyannote[141].end 448.16346875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 445.88534375
transcript.pyannote[142].end 446.59409375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 446.74596875
transcript.pyannote[143].end 448.78784375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 448.78784375
transcript.pyannote[144].end 452.09534375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 453.02346875
transcript.pyannote[145].end 454.50846875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 454.81221875
transcript.pyannote[146].end 462.79409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 463.19909375
transcript.pyannote[147].end 466.28721875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 466.57409375
transcript.pyannote[148].end 467.23221875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 467.38409375
transcript.pyannote[149].end 469.76346875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 469.98284375
transcript.pyannote[150].end 481.60971875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 480.17534375
transcript.pyannote[151].end 480.58034375
transcript.whisperx[0].start 5.876
transcript.whisperx[0].end 19.652
transcript.whisperx[0].text 謝主席 請備題名人游教授好 早安林委員早
transcript.whisperx[1].start 21.668
transcript.whisperx[1].end 35.542
transcript.whisperx[1].text 這個您大部分我們認識游教授都是在新聞媒體上因為這個台灣民意基金會的這個民意調查也算是赫赫有名長時間的滾動提供了政治圈非常多攻打守變的一個素材那大家在
transcript.whisperx[2].start 36.76
transcript.whisperx[2].end 63.322
transcript.whisperx[2].text 這個看到游盈隆教授被列為中選會主委的提名人的時候大家當然是有一些意外也有很多問題想要請教那麼今天很高興有這樣一個機緣可以跟教授來做一下面對面的討論我問的第一個問題就是你應該如何確保啊這個如果有幸成為中選會主委啊因為你平常也評論非常多的一個政治的事務也做民意調查在基金會裡面有職務你怎麼樣確保這之間的分際可以非常的清楚你打算做哪一些的決定
transcript.whisperx[3].start 66.434
transcript.whisperx[3].end 91.969
transcript.whisperx[3].text 謝謝牛委員我已經有了相當的覺悟擔任中選會主委也有一定程度的犧牲是要付出的我可能失去了自由我的意思是說失去評論台灣公開評論台灣政治的自由作為一個政治學者
transcript.whisperx[4].start 93.268
transcript.whisperx[4].end 122.133
transcript.whisperx[4].text 我作為一個關心台灣的知識分子那樣的一個犧牲是重大的但是為了更高的目的為了更重大的目標我覺得我必須做這樣的歌聲一語雄長不能得見好 所以意思就是說不會再發表相關的評論民意調查等等也會離開基金會的職務是這樣的意思嗎如果大院能夠
transcript.whisperx[5].start 123.303
transcript.whisperx[5].end 144.911
transcript.whisperx[5].text 通過中選會主委的人事同意權任命我將辭去台灣民意教育基金會的董事長也辭去董事我採取比法律更嚴格的標準做自我的要求非常好 謝謝
transcript.whisperx[6].start 146.331
transcript.whisperx[6].end 162.758
transcript.whisperx[6].text 那麼我們再針對幾個常常我們在中選會這個平台做討論的題目跟教授做一下意見的交換這個目前立法院有很多的委員提案修正公職人員選罷法或者是不在籍投票的各種相關的一個草案那也有這個
transcript.whisperx[7].start 164.965
transcript.whisperx[7].end 193.317
transcript.whisperx[7].text 這個大家的版本不一樣但大部分的版本基本上都是限於所謂的境內移轉投票有關不在籍投票的部分換言之就是透過登記的部分我不見得要舟車勞頓的返鄉我可以在就近的投票所去投別的選擇在自己戶籍所在地的這樣子的一個投票那我想請問一下被提名人立法院如果修正相關的法令新增了不在籍投票相關的制度限於國內移轉投票請問您會不會忠實的執行立法院通過的法律當然
transcript.whisperx[8].start 194.352
transcript.whisperx[8].end 223.548
transcript.whisperx[8].text 如果立法院通過了不在籍投票中選會只有依法行政全力以赴好 謝謝那您覺得在您如果你有機會領導中選會啦你可能需要多少時間來做好境內移轉投票制度的相關準備工作我不知道這項立法到時候在立法院會如何通過整個制度的內容到底是怎麼樣
transcript.whisperx[9].start 225.086
transcript.whisperx[9].end 253.404
transcript.whisperx[9].text 我不清楚但是我也要就最近我从我们中选会同仁那里所得到的许多的资讯我深深的感觉不在即投票是世界的潮流也是台湾许多人直觉上对的一个
transcript.whisperx[10].start 254.72
transcript.whisperx[10].end 282.519
transcript.whisperx[10].text 努力方向但是当我们在讲世界各国很多都采取了不在籍投票的时候台湾没有感觉到自己落后了自己很惭愧我觉得那种心情是可以理解的我肯定那是一个进步的思维可是我们也不能够脱离现实
transcript.whisperx[11].start 283.8
transcript.whisperx[11].end 310.065
transcript.whisperx[11].text 如果回到我們自己的國家的選舉制度我們深入去看很快就會發現不在籍投票牽涉的是非常複雜的選舉的工程尤其是九合一我打電話 因為時間很有限大概抓多少時間去做它當然是個浩大的工程因為比較具體的想法讓我講這一句
transcript.whisperx[12].start 313.091
transcript.whisperx[12].end 338.411
transcript.whisperx[12].text 尤其是在九合一地方選舉裡面實施不在籍投票就現階段來講肯定是一個災難中選會已經提出來如果在九合一地方選舉辦不在籍投票將會造成將近九千種不同的選票在極端的狀況下所以我覺得這個是
transcript.whisperx[13].start 342.065
transcript.whisperx[13].end 363.287
transcript.whisperx[13].text 很重要的一點 我們喜歡看天邊的彩霞 但不要踩壞了眼前的一大玫瑰讓我們的傲視世界的台灣 選舉然後蒙城教授 那到底是要執行還是不執行 花多少時間準備
transcript.whisperx[14].start 364.389
transcript.whisperx[14].end 380.139
transcript.whisperx[14].text 所以我剛剛講原則上我剛剛已經講但是願意執行但需要很多時間準備實際上要通過什麼樣的制度內容目前您知道嗎還是您可以現在告訴我我可以做回應當然這個有很多不同的版本
transcript.whisperx[15].start 380.719
transcript.whisperx[15].end 402.158
transcript.whisperx[15].text 這個如果你有幸擔任中學會主委相信還有很多討論的機會但因為時間有限我們還有問最後幾個問題因為我們的執政黨曾經表示如果施行不在即投票會導致選民投票的信任消失會有作票的風險也曾經說會有讓中國大陸借選更加容易即便我們剛剛講的現在的不在即投票的版本是國內的移轉投票
transcript.whisperx[16].start 403.099
transcript.whisperx[16].end 427.01
transcript.whisperx[16].text 這樣子的一個說法 你認同嗎在您領導下的中選會 你如何去避免選務公信力下降的問題你該如何把這個東西帶領好你真的覺得不再投票會有作票的風險嗎請你簡要回答就好選務行政的公信力是非常重要 甚至是最重要的讓選民相信選舉的結果是公正的那 但是呢
transcript.whisperx[17].start 429.871
transcript.whisperx[17].end 451.895
transcript.whisperx[17].text 實施不在籍投票最大的困難是來自於執行面在可行性我覺得境外的影響等等可能是比較其次比較其次 還是在於選務整個在操辦選務過程中遇到的一些新政的困難那你有沒有信心可以逐步的解決 我不要講一步到位
transcript.whisperx[18].start 453.646
transcript.whisperx[18].end 480.594
transcript.whisperx[18].text 如果立法院提了一個中選會沒辦法執行的一個方案壓垮中選會我也沒辦法在這邊跟您保證說一定就能夠做得好如果這樣的話是不負責任的好 謝謝教授 因為今天時間有限不過我建議你 後面還有很多委員要就教就直接回答這樣子就好 好吧好 這給你一點點提醒跟建議 祝你今天順利 謝謝