iVOD / 158163

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f7e4b646118ff6a18c2d15e41664c81642925a05e1c517d18f00481bd910a07319161ef466b908c65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 10:30:48 - 10:43:12
影片長度 744
會議時間 2024-12-16T09:00:00+08:00
會議名稱 立法院第11屆第2會期司法及法制委員會公聽會(事由:「公務人員退休資遣撫卹法等案」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 22.23846875
transcript.pyannote[0].end 29.42721875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 30.60846875
transcript.pyannote[1].end 32.34659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 33.49409375
transcript.pyannote[2].end 36.85221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 37.86471875
transcript.pyannote[3].end 41.37471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 41.61096875
transcript.pyannote[4].end 46.67346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 47.38221875
transcript.pyannote[5].end 50.21721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 50.82471875
transcript.pyannote[6].end 52.05659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 52.51221875
transcript.pyannote[7].end 54.01409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 54.31784375
transcript.pyannote[8].end 55.60034375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 55.75221875
transcript.pyannote[9].end 58.04721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 58.80659375
transcript.pyannote[10].end 65.35409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 66.23159375
transcript.pyannote[11].end 66.90659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 67.31159375
transcript.pyannote[12].end 69.25221875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 69.53909375
transcript.pyannote[13].end 76.77846875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 77.65596875
transcript.pyannote[14].end 78.17909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 79.44471875
transcript.pyannote[15].end 83.10659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 83.30909375
transcript.pyannote[16].end 84.72659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 86.38034375
transcript.pyannote[17].end 87.57846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 88.32096875
transcript.pyannote[18].end 89.87346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 91.13909375
transcript.pyannote[19].end 95.10471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 95.79659375
transcript.pyannote[20].end 98.74971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 98.90159375
transcript.pyannote[21].end 100.36971875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 101.28096875
transcript.pyannote[22].end 102.39471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 102.79971875
transcript.pyannote[23].end 103.99784375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 104.75721875
transcript.pyannote[24].end 105.60096875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 107.06909375
transcript.pyannote[25].end 108.50346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 109.81971875
transcript.pyannote[26].end 115.84409375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 116.73846875
transcript.pyannote[27].end 119.57346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 120.02909375
transcript.pyannote[28].end 121.19346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 122.40846875
transcript.pyannote[29].end 125.51346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 125.91846875
transcript.pyannote[30].end 128.80409375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 129.19221875
transcript.pyannote[31].end 131.57159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 133.12409375
transcript.pyannote[32].end 135.87471875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 136.31346875
transcript.pyannote[33].end 137.81534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 138.70971875
transcript.pyannote[34].end 142.62471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 143.40096875
transcript.pyannote[35].end 144.98721875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 145.89846875
transcript.pyannote[36].end 146.92784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 147.21471875
transcript.pyannote[37].end 148.63221875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 149.49284375
transcript.pyannote[38].end 150.11721875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 150.84284375
transcript.pyannote[39].end 153.62721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 153.66096875
transcript.pyannote[40].end 157.45784375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 158.68971875
transcript.pyannote[41].end 163.44846875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 165.22034375
transcript.pyannote[42].end 166.85721875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 169.03409375
transcript.pyannote[43].end 169.82721875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 170.18159375
transcript.pyannote[44].end 172.78034375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 173.87721875
transcript.pyannote[45].end 175.56471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 176.23971875
transcript.pyannote[46].end 177.52221875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 177.67409375
transcript.pyannote[47].end 179.53034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 180.28971875
transcript.pyannote[48].end 180.82971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 182.65221875
transcript.pyannote[49].end 184.62659375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 185.31846875
transcript.pyannote[50].end 186.70221875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 187.63034375
transcript.pyannote[51].end 189.41909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 189.80721875
transcript.pyannote[52].end 194.48159375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 194.56596875
transcript.pyannote[53].end 196.27034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 198.66659375
transcript.pyannote[54].end 201.02909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 201.56909375
transcript.pyannote[55].end 203.35784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 203.64471875
transcript.pyannote[56].end 205.60221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 205.88909375
transcript.pyannote[57].end 207.08721875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 208.52159375
transcript.pyannote[58].end 209.02784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 209.87159375
transcript.pyannote[59].end 212.03159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 212.72346875
transcript.pyannote[60].end 217.43159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 218.81534375
transcript.pyannote[61].end 219.54096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 220.84034375
transcript.pyannote[62].end 228.53534375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 228.78846875
transcript.pyannote[63].end 229.88534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 230.47596875
transcript.pyannote[64].end 231.64034375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 233.02409375
transcript.pyannote[65].end 234.34034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 234.45846875
transcript.pyannote[66].end 235.43721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 236.17971875
transcript.pyannote[67].end 237.46221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 238.06971875
transcript.pyannote[68].end 239.23409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 239.80784375
transcript.pyannote[69].end 241.42784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 242.28846875
transcript.pyannote[70].end 243.11534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 243.52034375
transcript.pyannote[71].end 245.14034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 246.20346875
transcript.pyannote[72].end 247.82346875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 248.53221875
transcript.pyannote[73].end 251.26596875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 251.92409375
transcript.pyannote[74].end 252.86909375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 253.78034375
transcript.pyannote[75].end 257.18909375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 258.15096875
transcript.pyannote[76].end 265.22159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 265.99784375
transcript.pyannote[77].end 267.06096875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 270.06471875
transcript.pyannote[78].end 270.99284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 271.88721875
transcript.pyannote[79].end 273.35534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 274.24971875
transcript.pyannote[80].end 276.12284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 277.55721875
transcript.pyannote[81].end 278.94096875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 279.21096875
transcript.pyannote[82].end 281.21909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 282.31596875
transcript.pyannote[83].end 286.77096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 287.53034375
transcript.pyannote[84].end 289.16721875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 290.85471875
transcript.pyannote[85].end 292.72784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 293.16659375
transcript.pyannote[86].end 297.70596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 299.42721875
transcript.pyannote[87].end 300.33846875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 300.65909375
transcript.pyannote[88].end 301.92471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 302.73471875
transcript.pyannote[89].end 305.43471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 307.02096875
transcript.pyannote[90].end 311.91471875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 312.45471875
transcript.pyannote[91].end 316.18409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 316.58909375
transcript.pyannote[92].end 317.80409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 318.41159375
transcript.pyannote[93].end 321.48284375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 323.06909375
transcript.pyannote[94].end 323.57534375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 324.72284375
transcript.pyannote[95].end 328.01346875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 329.34659375
transcript.pyannote[96].end 331.13534375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 331.42221875
transcript.pyannote[97].end 335.01659375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 335.65784375
transcript.pyannote[98].end 336.48471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 337.48034375
transcript.pyannote[99].end 339.52221875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 339.97784375
transcript.pyannote[100].end 342.84659375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 343.57221875
transcript.pyannote[101].end 344.61846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 346.00221875
transcript.pyannote[102].end 347.77409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 348.43221875
transcript.pyannote[103].end 349.83284375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 350.74409375
transcript.pyannote[104].end 351.72284375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 352.46534375
transcript.pyannote[105].end 354.20346875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 354.91221875
transcript.pyannote[106].end 356.80221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 357.02159375
transcript.pyannote[107].end 358.06784375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 359.08034375
transcript.pyannote[108].end 360.00846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 361.13909375
transcript.pyannote[109].end 362.03346875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 364.21034375
transcript.pyannote[110].end 365.89784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 366.28596875
transcript.pyannote[111].end 368.31096875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 368.63159375
transcript.pyannote[112].end 370.28534375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 370.80846875
transcript.pyannote[113].end 372.58034375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 374.84159375
transcript.pyannote[114].end 375.34784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 375.80346875
transcript.pyannote[115].end 378.26721875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 378.90846875
transcript.pyannote[116].end 379.90409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 380.41034375
transcript.pyannote[117].end 383.32971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 384.69659375
transcript.pyannote[118].end 385.40534375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 387.44721875
transcript.pyannote[119].end 388.94909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 390.21471875
transcript.pyannote[120].end 396.39096875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 398.17971875
transcript.pyannote[121].end 398.97284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 399.34409375
transcript.pyannote[122].end 400.13721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 401.09909375
transcript.pyannote[123].end 403.49534375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 405.55409375
transcript.pyannote[124].end 406.73534375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 407.49471875
transcript.pyannote[125].end 410.26221875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 410.71784375
transcript.pyannote[126].end 411.93284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 412.99596875
transcript.pyannote[127].end 416.18534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 416.72534375
transcript.pyannote[128].end 418.14284375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 419.67846875
transcript.pyannote[129].end 423.81284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 425.87159375
transcript.pyannote[130].end 429.38159375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 429.78659375
transcript.pyannote[131].end 430.47846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 431.87909375
transcript.pyannote[132].end 433.36409375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 434.95034375
transcript.pyannote[133].end 436.70534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 436.78971875
transcript.pyannote[134].end 438.37596875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 440.23221875
transcript.pyannote[135].end 443.03346875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 444.45096875
transcript.pyannote[136].end 446.29034375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 447.11721875
transcript.pyannote[137].end 449.00721875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 449.83409375
transcript.pyannote[138].end 452.17971875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 452.55096875
transcript.pyannote[139].end 454.05284375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 455.23409375
transcript.pyannote[140].end 458.30534375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 459.21659375
transcript.pyannote[141].end 460.78596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 461.30909375
transcript.pyannote[142].end 462.72659375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 464.71784375
transcript.pyannote[143].end 465.47721875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 465.91596875
transcript.pyannote[144].end 467.24909375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 467.87346875
transcript.pyannote[145].end 468.78471875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 469.29096875
transcript.pyannote[146].end 473.13846875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 474.25221875
transcript.pyannote[147].end 476.83409375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 477.72846875
transcript.pyannote[148].end 479.34846875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 479.85471875
transcript.pyannote[149].end 483.09471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 484.02284375
transcript.pyannote[150].end 484.57971875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 484.98471875
transcript.pyannote[151].end 487.39784375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 488.73096875
transcript.pyannote[152].end 490.13159375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 490.85721875
transcript.pyannote[153].end 502.24784375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 502.87221875
transcript.pyannote[154].end 503.58096875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 504.20534375
transcript.pyannote[155].end 506.14596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 506.31471875
transcript.pyannote[156].end 507.41159375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 508.66034375
transcript.pyannote[157].end 509.41971875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 510.34784375
transcript.pyannote[158].end 511.61346875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 512.23784375
transcript.pyannote[159].end 513.62159375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 514.71846875
transcript.pyannote[160].end 516.25409375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 516.33846875
transcript.pyannote[161].end 518.24534375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 519.49409375
transcript.pyannote[162].end 520.28721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 521.04659375
transcript.pyannote[163].end 522.41346875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 522.53159375
transcript.pyannote[164].end 525.23159375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 527.34096875
transcript.pyannote[165].end 530.04096875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 530.81721875
transcript.pyannote[166].end 532.28534375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 533.38221875
transcript.pyannote[167].end 545.27909375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 546.44346875
transcript.pyannote[168].end 548.40096875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 548.72159375
transcript.pyannote[169].end 550.10534375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 551.16846875
transcript.pyannote[170].end 552.09659375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 552.75471875
transcript.pyannote[171].end 555.13409375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 555.94409375
transcript.pyannote[172].end 558.49221875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 559.30221875
transcript.pyannote[173].end 562.54221875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 563.50409375
transcript.pyannote[174].end 564.38159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 564.65159375
transcript.pyannote[175].end 565.86659375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 567.72284375
transcript.pyannote[176].end 568.65096875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 569.30909375
transcript.pyannote[177].end 571.09784375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 571.60409375
transcript.pyannote[178].end 573.69659375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 575.16471875
transcript.pyannote[179].end 576.29534375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 576.91971875
transcript.pyannote[180].end 578.75909375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 579.82221875
transcript.pyannote[181].end 586.26846875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 587.46659375
transcript.pyannote[182].end 588.02346875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 589.37346875
transcript.pyannote[183].end 591.82034375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 592.71471875
transcript.pyannote[184].end 594.80721875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 595.29659375
transcript.pyannote[185].end 599.54909375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 600.03846875
transcript.pyannote[186].end 602.23221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 602.85659375
transcript.pyannote[187].end 604.00409375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 604.79721875
transcript.pyannote[188].end 608.88096875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 610.33221875
transcript.pyannote[189].end 611.14221875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 611.93534375
transcript.pyannote[190].end 612.50909375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 613.21784375
transcript.pyannote[191].end 615.61409375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 616.37346875
transcript.pyannote[192].end 617.20034375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 618.11159375
transcript.pyannote[193].end 618.93846875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 620.06909375
transcript.pyannote[194].end 626.16096875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 626.90346875
transcript.pyannote[195].end 629.01284375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 630.46409375
transcript.pyannote[196].end 636.74159375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 637.56846875
transcript.pyannote[197].end 638.95221875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 639.82971875
transcript.pyannote[198].end 655.45596875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 656.23221875
transcript.pyannote[199].end 657.68346875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 658.78034375
transcript.pyannote[200].end 660.83909375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 661.76721875
transcript.pyannote[201].end 671.70659375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 672.06096875
transcript.pyannote[202].end 674.45721875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 674.89596875
transcript.pyannote[203].end 678.45659375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 679.09784375
transcript.pyannote[204].end 682.05096875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 682.74284375
transcript.pyannote[205].end 693.86346875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 694.70721875
transcript.pyannote[206].end 695.17971875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 695.75346875
transcript.pyannote[207].end 702.08159375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 702.41909375
transcript.pyannote[208].end 704.64659375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 705.37221875
transcript.pyannote[209].end 707.14409375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 707.68409375
transcript.pyannote[210].end 709.33784375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 710.78909375
transcript.pyannote[211].end 712.78034375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 713.26971875
transcript.pyannote[212].end 713.70846875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 714.36659375
transcript.pyannote[213].end 714.94034375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 714.97409375
transcript.pyannote[214].end 715.00784375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 715.05846875
transcript.pyannote[215].end 718.73721875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 718.90596875
transcript.pyannote[216].end 721.01534375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 721.58909375
transcript.pyannote[217].end 741.78846875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 743.67846875
transcript.pyannote[218].end 744.31971875
transcript.whisperx[0].start 22.327
transcript.whisperx[0].end 36.617
transcript.whisperx[0].text 最近因為勞動部這個霸凌事件很多人很同情公務員我今天一開始我要呼籲請不要霸凌退休的金公教
transcript.whisperx[1].start 38.158
transcript.whisperx[1].end 57.916
transcript.whisperx[1].text 請不要霸凌退休的軍公教也不要只有跟退休的軍公教說財政不好所以很抱歉你們必須犧牲這是臨改的時候蔡英文總統講了好幾次因為國家的財政不好不得已
transcript.whisperx[2].start 58.897
transcript.whisperx[2].end 84.006
transcript.whisperx[2].text 所以我們為了退休的金公教人員你們的付出我們跟你說聲抱歉今天我們的財政變好了包括我們退府基金的投資績效也變好了所以我們不用再跟我們的退休金公教說抱歉了也不要說他會要他們再繼續犧牲了
transcript.whisperx[3].start 88.549
transcript.whisperx[3].end 105.574
transcript.whisperx[3].text 當初為什麼年金改革在105年106年的時候我每一年都短促了一百多億兩百多億甚至有時候上千億可是我給大家看一下我們最新的狀況我統計了最近的財政大家看一下在民國95年到103年那十年的時候我們的財政確實是困難的
transcript.whisperx[4].start 116.812
transcript.whisperx[4].end 144.693
transcript.whisperx[4].text 所以剛剛有人講不管是馬英九總統不管蔡英文總統說必須跟我們的退休進攻家有說聲抱歉可是我們最近的10年的財政大家知道嗎我們財政不只變好變得非常的好大家看一下從104年到112年你光是統計最近這5年就是年改從107年的7月份開始對不對年改開始的隔年
transcript.whisperx[5].start 145.933
transcript.whisperx[5].end 163.259
transcript.whisperx[5].text 一百零八年到一百一十二年這五年有一年還是負兩百二十三億喔大家算一下這五年我們的財政超收了多少錢大家可以把五年的把它加起來一兆四千零三十一億把它平均分給五年一年是兩千八百零六億
transcript.whisperx[6].start 174.602
transcript.whisperx[6].end 195.896
transcript.whisperx[6].text 這光是一年喔比最近這五年我們退休金工教的犧牲五年撫卹了多少錢進退休的這個基金2744億啓楷今天要強調的第一個當初年金改革的國家財政困難的眼裡已經不在了而且我們財政變得很好
transcript.whisperx[7].start 198.7
transcript.whisperx[7].end 217.229
transcript.whisperx[7].text 光是每一年 最近每一年的平均都超收的稅收就足夠去補之前 你砍了他五年的所以還要繼續再砍嗎而且明年的稅收還增加更多上個月財政部已經講了我們明年的財政會多出4千億所以第一個
transcript.whisperx[8].start 221.102
transcript.whisperx[8].end 244.793
transcript.whisperx[8].text 國家財政沒有已經當初要犧牲我們的退休金工資料也已經不見了這是第一個第二個我們再看一下還有一個很大的改變以前為什麼要改革因為我們的退撫基金那個小水庫一直在講說錢不夠了錢不夠有很多原因現在有一個非常非常大的改變以前退撫基金的操作不當
transcript.whisperx[9].start 246.243
transcript.whisperx[9].end 260.555
transcript.whisperx[9].text 所以他進來的錢非常的少大家看一下最近從108年年金改革以後我們退伏基金操作變好了因為公開透明了不要一直再去復盤了你看108年收益有10.62109年8.46你看除了有一年復的全部都超過兩位數所以你只要好好維持你的操作
transcript.whisperx[10].start 274.498
transcript.whisperx[10].end 289.066
transcript.whisperx[10].text 總會沒有錢呢 大家看一下下一張當初改革原因是什麼因為之前的前20年我們的金公教把錢給了這個退伍基金之後操作亂七八糟前20年平均值有多少2.79欸當然那時候要做B座年金的改革啊可是大家對照一下最近這5年差了幾倍至少差了3倍
transcript.whisperx[11].start 302.805
transcript.whisperx[11].end 321.162
transcript.whisperx[11].text 所以不只是我們的國庫現在開始有錢了退撫基金因為績效的增加退撫基金是有錢的所以包括剛剛年輕的朋友 終生帶來金鍋教代表不要擔心現在基金是有錢的只要管理者不要再亂搞這個地方是有錢的比較以前到現在另外大家也不要擔心這個基金會沒錢啊大家對照一下勞保
transcript.whisperx[12].start 329.62
transcript.whisperx[12].end 357.725
transcript.whisperx[12].text 勞退基金最近這幾年我幫大家算了一下109年到114年撥補多少錢3870億所以勞動部的前部長何必這樣說啊撥補就是改革啊我們不反對撥補給勞工可是最近這幾年為什麼經過這樣的公務員的退休基金增加那麼少所以我上次執行的時候我特別拜託我們的前市部部長
transcript.whisperx[13].start 359.124
transcript.whisperx[13].end 359.364
transcript.whisperx[13].text 要解決現在這個問題
transcript.whisperx[14].start 390.25
transcript.whisperx[14].end 396.011
transcript.whisperx[14].text 他沒有什麼世代對立的問題啊因為你照顧到年長者退休的你照顧到現代的啊因為整個國家變得有錢了你甚至去看一個台電最近這三年已經要求撥補三千億出去了最近還有兩千億啊一堆的弊案 剛剛有人在提陳啟毅 台電綠能了光是一個光電弊案五六百一個燒不掉五六百億的那種虧空跑不掉腐爛的支出有多少
transcript.whisperx[15].start 419.761
transcript.whisperx[15].end 423.482
transcript.whisperx[15].text 政府的責任不是應該讓弊案不要再發生不要再亂編錢嗎我前幾天上個禮拜五在議員會非常堅持砍了燃煤的預算250億那250億就可以省下來啊而且維護到我們的健康啊從國民黨到民進黨政府不是講嗎少燒煤啊火力發電裡面的煤要少一點啊你把250億砍掉拿來
transcript.whisperx[16].start 450.298
transcript.whisperx[16].end 462.403
transcript.whisperx[16].text 幫勞工幫勞工退休不是很好嗎而且讓我們健康維持啊所以不要擔心沒有錢錢是有的好回到剛剛那一張我給大家看一下最重要的我剛剛講我現在講一個現在要解決問題現在解決問題就回到主管機關最專業的一個精算來解決問題那就回到考試院當初在聯改的時候的版本
transcript.whisperx[17].start 477.762
transcript.whisperx[17].end 507.202
transcript.whisperx[17].text 我請大家一定要特別注意這件事情當初在年金改革的時候大部分人是沒有反對的除了可憐的親公叫退休人員之外可是我剛剛跟大家講歷史背景跟整個財收狀況已經不一樣了國家變有錢了我們的退撫基金變有錢了績效增加了撥補也可以增加了更重要我們用專業來解決問題什麼叫專業當初提出來最專業的主管機關版本是誰提的
transcript.whisperx[18].start 508.697
transcript.whisperx[18].end 524.733
transcript.whisperx[18].text 考試院啊前系部現在部長在這邊當時考試院版本是怎麼樣從80%開始往下一年1%對不對可是當初當年在張連那個立法院表決的時候過的不是立法院專業版本欸他在民進黨多數的狀況之下段奕康高喊之下民進黨那時候有68席
transcript.whisperx[19].start 533.407
transcript.whisperx[19].end 557.837
transcript.whisperx[19].text 他大砍他同樣你如果服務滿35年大家看一下你如果服務滿35年就一個軍工教你第一年你80%對不對分10年一年降1%降到70就停了可是後來民進黨主導之下過的不是主管機關考生的版本啊政治的力量進來了他出現了什麼他變成一開始就砍了5%從75開始每一年還降了1.5好那我現在請大家算一下
transcript.whisperx[20].start 563.704
transcript.whisperx[20].end 573.489
transcript.whisperx[20].text 請大家算一下 經過這五年經過這五年 一開始降了5%五年一年1.5 已經降了多少12.5% 對不對我們的進攻價經過這五年到現在它已經被砍了12.5%了它是不是遠遠已經超過本來考試院的版本了是不是所以第一個回歸專業的精算
transcript.whisperx[21].start 592.759
transcript.whisperx[21].end 607.327
transcript.whisperx[21].text 回到原來考試院的版本你現在砍的幅度已經超過原來考試院提的10年的標準了甚至多出了0.25%了第二個你現在國家有錢了所以我呼籲回到這個版本來 我們再看一下你目前5年一共砍了2774億可是很清楚現在國家
transcript.whisperx[22].start 620.117
transcript.whisperx[22].end 638.254
transcript.whisperx[22].text 波普可以解決這個問題你績效改革也可以解決這個問題我最後講一下台灣民眾黨跟柯文哲在競選期間的我們的主張這也是最近我們在審查這個案子除了國民黨提案之外我們的主張柯文哲很清楚的講過
transcript.whisperx[23].start 640.339
transcript.whisperx[23].end 657.636
transcript.whisperx[23].text 這個違背 當初這個年輕改革制裁問題違背了信賴保護原則 破壞了法不受既往的法治國的這個基礎私心靈敏 所以現在最重要的是什麼我們現在怎麼去幫助這些退休的金工教他特別提到一個點 就我剛剛講的 波普的問題他說我們以前管理不當他說管理不當 他去看過很多會計師啊
transcript.whisperx[24].start 662.163
transcript.whisperx[24].end 681.863
transcript.whisperx[24].text 他說我們政府拿那個退伍基金去投資啊他說你如果蒙著眼睛去買那個前50檔CEO的你這30年來應該至少成長6倍啊你怎麼會沒錢呢結果你等於是好像有點像你拿我錢去賭博輸了還在砍我的這個預算我用最後這句話來政府講話都不算話以後誰要聽你的
transcript.whisperx[25].start 682.816
transcript.whisperx[25].end 708.933
transcript.whisperx[25].text 您改改到現在他提出一個很重要的解決方案他一個原則舊的要盡量維持諾言新的要如何來處理該撥補就撥補所以柯文哲在競選期間中大選期間提出這個論點我們大部分民眾黨我們會依行這個方向去走所以我剛剛提到的既然已經改過了現在已經快到12月底了本席強烈的主張
transcript.whisperx[26].start 710.836
transcript.whisperx[26].end 736.633
transcript.whisperx[26].text 停止年金逐年調價停止年金逐年調價從明年1月開始第一個他基金已經達標了他砍的幅數已經高過之前考試院提出的版本10年10%了已經達標了已經超過了第二個我們國家變有錢了我們的基金現在投資績效是好的請停止對金公教的繼續再下去改革下去就變成霸凌了
transcript.whisperx[27].start 737.173
transcript.whisperx[27].end 740.868
transcript.whisperx[27].text 不要霸凌退休的進攻價 停止主任在記憶條件 謝謝
IVOD_ID 158163
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158163
日期 2024-12-16
會議資料.會議代碼 公聽會-2024121150
會議資料.屆 11
會議資料.會期 2
會議資料.種類 公聽會
會議資料.委員會代碼[0] 36
會議資料.標題 立法院第11屆第2會期司法及法制委員會公聽會(事由:「公務人員退休資遣撫卹法等案」公聽會)
影片種類 Clip
開始時間 2024-12-16T10:30:48+08:00
結束時間 2024-12-16T10:43:12+08:00
支援功能[0] ai-transcript