iVOD / 167277

Field Value
IVOD_ID 167277
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167277
日期 2026-01-28
影片種類 Clip
開始時間 2026-01-28T09:41:34+08:00
結束時間 2026-01-28T09:49:47+08:00
影片長度 00:08:13
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0b5ec5fbcfced67d0adb6b06a24a1e08f4fe19c94b211847e2c12228464ea44cbe43c8a959977bea5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張宏陸
委員發言時間 09:41:34 - 09:49:47
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_01
transcript.pyannote[0].start 10.62846875
transcript.pyannote[0].end 11.30346875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 11.37096875
transcript.pyannote[1].end 13.75034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 14.79659375
transcript.pyannote[2].end 16.01159375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 20.70284375
transcript.pyannote[3].end 20.73659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 20.73659375
transcript.pyannote[4].end 20.95596875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 20.95596875
transcript.pyannote[5].end 20.98971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 22.42409375
transcript.pyannote[6].end 23.11596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 23.65596875
transcript.pyannote[7].end 23.75721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 23.97659375
transcript.pyannote[8].end 31.57034375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 31.75596875
transcript.pyannote[9].end 32.34659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.18596875
transcript.pyannote[10].end 40.75034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 41.45909375
transcript.pyannote[11].end 53.71034375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 53.81159375
transcript.pyannote[12].end 53.82846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 53.91284375
transcript.pyannote[13].end 60.78096875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 60.84846875
transcript.pyannote[14].end 62.60346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 62.97471875
transcript.pyannote[15].end 84.47346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 84.74346875
transcript.pyannote[16].end 92.94471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 93.73784375
transcript.pyannote[17].end 96.15096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 97.39971875
transcript.pyannote[18].end 99.81284375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 100.23471875
transcript.pyannote[19].end 103.28909375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 103.62659375
transcript.pyannote[20].end 105.34784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 105.83721875
transcript.pyannote[21].end 108.75659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 109.34721875
transcript.pyannote[22].end 116.33346875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 116.95784375
transcript.pyannote[23].end 120.87284375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 120.99096875
transcript.pyannote[24].end 127.99409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 128.41596875
transcript.pyannote[25].end 134.89596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 135.33471875
transcript.pyannote[26].end 136.71846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 137.78159375
transcript.pyannote[27].end 139.55346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 141.02159375
transcript.pyannote[28].end 141.24096875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 141.24096875
transcript.pyannote[29].end 141.83159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 142.97909375
transcript.pyannote[30].end 147.61971875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 147.97409375
transcript.pyannote[31].end 148.88534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 148.96971875
transcript.pyannote[32].end 150.62346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 151.73721875
transcript.pyannote[33].end 153.69471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 155.38221875
transcript.pyannote[34].end 157.67721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 158.31846875
transcript.pyannote[35].end 159.76971875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 160.25909375
transcript.pyannote[36].end 161.33909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 161.54159375
transcript.pyannote[37].end 162.43596875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 162.90846875
transcript.pyannote[38].end 163.98846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 164.52846875
transcript.pyannote[39].end 165.38909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 165.86159375
transcript.pyannote[40].end 168.03846875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 168.83159375
transcript.pyannote[41].end 169.59096875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 169.82721875
transcript.pyannote[42].end 172.07159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 172.35846875
transcript.pyannote[43].end 174.83909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 174.97409375
transcript.pyannote[44].end 178.41659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 178.82159375
transcript.pyannote[45].end 179.74971875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 180.91409375
transcript.pyannote[46].end 184.47471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 184.89659375
transcript.pyannote[47].end 185.99346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 186.90471875
transcript.pyannote[48].end 186.92159375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 186.92159375
transcript.pyannote[49].end 186.93846875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 186.93846875
transcript.pyannote[50].end 187.51221875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 188.44034375
transcript.pyannote[51].end 188.45721875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 188.45721875
transcript.pyannote[52].end 189.48659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 190.36409375
transcript.pyannote[53].end 194.09346875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 194.92034375
transcript.pyannote[54].end 195.78096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 196.25346875
transcript.pyannote[55].end 196.97909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 197.43471875
transcript.pyannote[56].end 198.34596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 198.93659375
transcript.pyannote[57].end 199.51034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 200.33721875
transcript.pyannote[58].end 201.07971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 202.81784375
transcript.pyannote[59].end 205.41659375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 206.17596875
transcript.pyannote[60].end 206.74971875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 207.93096875
transcript.pyannote[61].end 208.47096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 208.75784375
transcript.pyannote[62].end 210.69846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 211.10346875
transcript.pyannote[63].end 212.03159375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 212.82471875
transcript.pyannote[64].end 213.87096875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 214.95096875
transcript.pyannote[65].end 215.44034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 215.65971875
transcript.pyannote[66].end 219.74346875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 220.33409375
transcript.pyannote[67].end 226.66221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 227.43846875
transcript.pyannote[68].end 236.90534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 238.08659375
transcript.pyannote[69].end 239.97659375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 240.33096875
transcript.pyannote[70].end 242.99721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 243.79034375
transcript.pyannote[71].end 246.42284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 247.26659375
transcript.pyannote[72].end 249.81471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 250.27034375
transcript.pyannote[73].end 251.11409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 251.29971875
transcript.pyannote[74].end 256.34534375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 257.15534375
transcript.pyannote[75].end 257.67846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 258.10034375
transcript.pyannote[76].end 260.93534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 261.27284375
transcript.pyannote[77].end 262.53846875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 263.01096875
transcript.pyannote[78].end 267.14534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 267.70221875
transcript.pyannote[79].end 268.79909375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 269.23784375
transcript.pyannote[80].end 269.92971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 270.57096875
transcript.pyannote[81].end 271.76909375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 272.08971875
transcript.pyannote[82].end 273.38909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 274.21596875
transcript.pyannote[83].end 276.94971875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 277.57409375
transcript.pyannote[84].end 280.99971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 281.72534375
transcript.pyannote[85].end 284.37471875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 285.48846875
transcript.pyannote[86].end 288.20534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 288.50909375
transcript.pyannote[87].end 289.69034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 289.99409375
transcript.pyannote[88].end 292.49159375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 292.91346875
transcript.pyannote[89].end 295.93409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 296.11971875
transcript.pyannote[90].end 296.77784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 297.23346875
transcript.pyannote[91].end 298.44846875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 298.98846875
transcript.pyannote[92].end 300.92909375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 301.21596875
transcript.pyannote[93].end 302.02596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 302.29596875
transcript.pyannote[94].end 304.32096875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 304.37159375
transcript.pyannote[95].end 306.48096875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 307.08846875
transcript.pyannote[96].end 308.80971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 309.50159375
transcript.pyannote[97].end 310.42971875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 310.59846875
transcript.pyannote[98].end 312.55596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 312.94409375
transcript.pyannote[99].end 317.06159375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 317.61846875
transcript.pyannote[100].end 318.74909375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 319.03596875
transcript.pyannote[101].end 319.05284375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 319.05284375
transcript.pyannote[102].end 324.94221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 325.39784375
transcript.pyannote[103].end 341.22659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 341.69909375
transcript.pyannote[104].end 342.03659375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 342.62721875
transcript.pyannote[105].end 344.68596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 345.41159375
transcript.pyannote[106].end 346.86284375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 347.20034375
transcript.pyannote[107].end 348.31409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 348.46596875
transcript.pyannote[108].end 358.35471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 358.79346875
transcript.pyannote[109].end 359.18159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 359.75534375
transcript.pyannote[110].end 360.56534375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 360.97034375
transcript.pyannote[111].end 362.84346875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 363.04596875
transcript.pyannote[112].end 364.68284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 366.08346875
transcript.pyannote[113].end 366.82596875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 367.06221875
transcript.pyannote[114].end 367.65284375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 368.27721875
transcript.pyannote[115].end 385.48971875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 385.81034375
transcript.pyannote[116].end 386.95784375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 388.05471875
transcript.pyannote[117].end 389.13471875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 390.13034375
transcript.pyannote[118].end 390.68721875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 391.42971875
transcript.pyannote[119].end 394.02846875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 394.53471875
transcript.pyannote[120].end 398.98971875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 399.32721875
transcript.pyannote[121].end 402.07784375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 402.73596875
transcript.pyannote[122].end 404.42346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 405.11534375
transcript.pyannote[123].end 406.66784375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 407.78159375
transcript.pyannote[124].end 410.29596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 411.51096875
transcript.pyannote[125].end 419.12159375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 419.71221875
transcript.pyannote[126].end 423.59346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 424.50471875
transcript.pyannote[127].end 429.61784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 430.54596875
transcript.pyannote[128].end 432.08159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 432.94221875
transcript.pyannote[129].end 434.62971875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 435.18659375
transcript.pyannote[130].end 438.57846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 438.69659375
transcript.pyannote[131].end 449.46284375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 450.17159375
transcript.pyannote[132].end 452.97284375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 453.74909375
transcript.pyannote[133].end 454.64346875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 456.01034375
transcript.pyannote[134].end 457.25909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 457.56284375
transcript.pyannote[135].end 461.71409375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 461.91659375
transcript.pyannote[136].end 462.37221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 462.82784375
transcript.pyannote[137].end 473.08784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 474.42096875
transcript.pyannote[138].end 485.87909375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 485.38971875
transcript.pyannote[139].end 487.16159375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 487.29659375
transcript.pyannote[140].end 487.36409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 487.36409375
transcript.pyannote[141].end 487.66784375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 487.48221875
transcript.pyannote[142].end 489.79409375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 489.86159375
transcript.pyannote[143].end 491.34659375
transcript.whisperx[0].start 10.703
transcript.whisperx[0].end 27.521
transcript.whisperx[0].text 我請我們的游主委加油教授首先質詢前還是要稱老師好張委員好
transcript.whisperx[1].start 34.426
transcript.whisperx[1].end 62.307
transcript.whisperx[1].text 游教授是我大學的老師其實我很多的政治學的東西都是游教授教導我的所以今天這樣問我是有點尷尬但是還是要問我想請問一下很多的委員也都有在關切這個不在即投票
transcript.whisperx[2].start 63.067
transcript.whisperx[2].end 83.377
transcript.whisperx[2].text 但不在一起投票其實分了很多種那大家現在一直在講一直在講其實慢慢的好像聚焦在移轉投票台灣現在大家一直慢慢聚焦在移轉投票那其實我們中選會辦的就是選政的工作我們的選務的工作其實是地方選委會在第一線在辦
transcript.whisperx[3].start 84.918
transcript.whisperx[3].end 108.452
transcript.whisperx[3].text 那選政的工作我們就是說我想要請教游教授就是說其實台灣現在已經有部分的移轉投票我們投開票所的工作人員就有移轉投票那如果貿然的
transcript.whisperx[4].start 110.135
transcript.whisperx[4].end 127.207
transcript.whisperx[4].text 要大規模的這個移轉投票我個人 我一個很擔心的問題我想不出解方也沒有任何人可以提出任何解方未來如果移轉投票變成是選政的一個改變的話
transcript.whisperx[5].start 128.516
transcript.whisperx[5].end 150.361
transcript.whisperx[5].text 我可不可以指定某些人去某個投開票所我去那邊投票跟開票會不會有這種可能發生要看選區吧 要看選區如果 我為什麼要這樣講會變成買票
transcript.whisperx[6].start 155.684
transcript.whisperx[6].end 179.491
transcript.whisperx[6].text 買票的人呢 我要求你收了我的錢你去特定的投開票所投票我買幾票 你沒有開出來幾票 你就是給我跑票未來會發生這種情況欸如果發生這種情況 我不知道各位被提名人啊你們有沒有解方
transcript.whisperx[7].start 181.253
transcript.whisperx[7].end 206.74
transcript.whisperx[7].text 我相信目前都沒有解方啦我不知道教授您的看法我這樣講好了不再急投票我剛剛說的是世界的潮流民主國家採行不再急投票非常多那我們台灣在這方面其實已經落後很久了
transcript.whisperx[8].start 208.007
transcript.whisperx[8].end 236.613
transcript.whisperx[8].text 所以要迎頭趕上我覺得在道理上是說得過去的不在即投票你讓許多無法返鄉的人去在他居住地投票這說起來社會上普遍也是會贊成的但是我也同意張委員剛剛所說的這可能會產生很多的問題包括你說的買票
transcript.whisperx[9].start 238.641
transcript.whisperx[9].end 256.077
transcript.whisperx[9].text 这是因为我们台湾从来没有实施过不在籍投票所以我们不知道会碰到什么情况所以在这样的情况底下事先当然应该做好非常周全的研究调查
transcript.whisperx[10].start 258.137
transcript.whisperx[10].end 283.071
transcript.whisperx[10].text 然後這個考量各種因素然後再來進行我覺得目前中選會所提出的這樣的一個解決方式我覺得是可行的就是說我們要循序漸進不是一步到位我們這個一開始就在這個九合一選舉裡面全面性的弄這個不再急投票這個是太
transcript.whisperx[11].start 285.883
transcript.whisperx[11].end 308.1
transcript.whisperx[11].text 太大胆而且太冒险的作为报复平和不足为训是不是可以未来从公民投票开始先从那里开始实施然后逐步的累积经验然后解决了
transcript.whisperx[12].start 309.537
transcript.whisperx[12].end 321.463
transcript.whisperx[12].text 我們社會或者是很多人們的疑慮我覺得這樣子分階段一步一步的走會是比較好的做法我也是這麼認為我覺得我們先從公投先對視
transcript.whisperx[13].start 326.416
transcript.whisperx[13].end 344.493
transcript.whisperx[13].text 對勢來移轉投票 為什麼呢我也覺得這個不再急投票很多的國家都這樣做那台灣要不要跟著做我覺得這是一個很崇高的理想我也不反對但台灣有特殊的買票文化
transcript.whisperx[14].start 345.495
transcript.whisperx[14].end 364.455
transcript.whisperx[14].text 美國會買票嗎 不會吧 對不對但台灣這個買票文化我們從報紙上就看得非常的清楚到處都有在買票 幾十年來都是這樣那如果我們對人的選舉也實施移轉投票
transcript.whisperx[15].start 366.121
transcript.whisperx[15].end 388.254
transcript.whisperx[15].text 我們的對岸 中國 我跟你講 透過大規模的買票這個是對台灣啊 一個非常嚴重的一個災難所以我個人 我是認為 對全國性的公投 事情我們可以先來做做看 為什麼我要這樣我必須再說 我辦過選舉 我是
transcript.whisperx[16].start 391.983
transcript.whisperx[16].end 410.08
transcript.whisperx[16].text 縣選委會的總幹事我當了四年從村里長的選舉到總統的選舉我都親自辦過我跟你講 選務的複雜程度啊超乎大家的想像我們連一張選票連那個有汙損或印得不好
transcript.whisperx[17].start 411.587
transcript.whisperx[17].end 429.42
transcript.whisperx[17].text 我們要一張一張選票這樣去看 從頭到尾看到尾那個每個人壓力有多大如果你要移轉投票我跟你講 問題太多了我要光說一個你連投票通知單 你選舉公報他要移轉去那裡 要誰去送
transcript.whisperx[18].start 430.612
transcript.whisperx[18].end 454.166
transcript.whisperx[18].text 到時候他說我沒有收到這個有很多技術性的問題所以我必須要說移轉投票不是不行但不能照進照進會把台灣馬上一次垮掉如果一次選舉的不公平大家以後對選委會這個公信力就不在我常講一句選委會
transcript.whisperx[19].start 456.041
transcript.whisperx[19].end 472.854
transcript.whisperx[19].text 如果你要辦選舉 我多給你人 多給你錢很多技術性是可以克服的但公信力是最重要的一件事選務公信力三個字是最重要的所以我還是覺得啦 主委 教授
transcript.whisperx[20].start 474.485
transcript.whisperx[20].end 489.922
transcript.whisperx[20].text 如果你的看法也是一樣就是從事情先來我覺得應該是先朝這個方向不可以一次太躁進不知道教授的看法我完全同意你的看法我覺得這樣做對台灣是比較好的好 謝謝