iVOD / 16587

Field Value
IVOD_ID 16587
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16587
日期 2025-04-11
會議資料.會議代碼 全院委員會-11-3-3
會議資料.會議代碼:str 第11屆第3會期第3次全院委員會會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 3
會議資料.種類 全院委員會
會議資料.標題 第11屆第3會期第3次全院委員會會議
影片種類 Full
開始時間 2025-04-11T10:36:30+08:00
結束時間 2025-04-11T11:09:00+08:00
影片長度 00:32:30
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a6096446c7078ec442841d718c1135cab3884af80a8cb003b9bafaa7280d768ece8d5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-04-11T09:00:00+08:00
會議名稱 第11屆第3會期第3次全院委員會會議(事由:審查「警察人員人事條例」第三十五條條文覆議案。)
委員名稱 完整會議
委員發言時間 10:36:30 - 11:09:00
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 692.83409375
transcript.pyannote[0].end 698.23409375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 699.14534375
transcript.pyannote[1].end 703.04346875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 703.66784375
transcript.pyannote[2].end 715.69971875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 716.81346875
transcript.pyannote[3].end 717.03284375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 717.03284375
transcript.pyannote[4].end 721.01534375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 721.65659375
transcript.pyannote[5].end 739.02096875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 739.57784375
transcript.pyannote[6].end 744.42096875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 744.47159375
transcript.pyannote[7].end 758.96721875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 758.96721875
transcript.pyannote[8].end 762.57846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 763.08471875
transcript.pyannote[9].end 768.04596875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 768.33284375
transcript.pyannote[10].end 771.38721875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 772.61909375
transcript.pyannote[11].end 774.15471875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 774.89721875
transcript.pyannote[12].end 776.19659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 776.58471875
transcript.pyannote[13].end 798.30284375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 806.23409375
transcript.pyannote[14].end 807.09471875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 807.28034375
transcript.pyannote[15].end 814.45221875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 815.32971875
transcript.pyannote[16].end 834.55034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 835.05659375
transcript.pyannote[17].end 835.69784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 835.88346875
transcript.pyannote[18].end 858.19221875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 858.88409375
transcript.pyannote[19].end 863.03534375
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 876.43409375
transcript.pyannote[20].end 876.95721875
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 890.84534375
transcript.pyannote[21].end 891.77346875
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 893.95034375
transcript.pyannote[22].end 894.64221875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 895.68846875
transcript.pyannote[23].end 898.06784375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 898.25346875
transcript.pyannote[24].end 900.39659375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 901.00409375
transcript.pyannote[25].end 902.64096875
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 903.34971875
transcript.pyannote[26].end 905.56034375
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 908.09159375
transcript.pyannote[27].end 912.04034375
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 912.91784375
transcript.pyannote[28].end 914.25096875
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 915.29721875
transcript.pyannote[29].end 916.61346875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 917.05221875
transcript.pyannote[30].end 918.08159375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 918.46971875
transcript.pyannote[31].end 926.80596875
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 927.17721875
transcript.pyannote[32].end 927.91971875
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 928.64534375
transcript.pyannote[33].end 930.02909375
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 931.58159375
transcript.pyannote[34].end 934.33221875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 935.27721875
transcript.pyannote[35].end 939.96846875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 940.55909375
transcript.pyannote[36].end 941.08221875
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 941.90909375
transcript.pyannote[37].end 944.77784375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 945.13221875
transcript.pyannote[38].end 946.34721875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 947.03909375
transcript.pyannote[39].end 948.54096875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 948.74346875
transcript.pyannote[40].end 952.59096875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 954.88596875
transcript.pyannote[41].end 955.52721875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 956.35409375
transcript.pyannote[42].end 958.54784375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 959.03721875
transcript.pyannote[43].end 962.00721875
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 962.56409375
transcript.pyannote[44].end 963.50909375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 964.06596875
transcript.pyannote[45].end 966.64784375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 968.38596875
transcript.pyannote[46].end 969.06096875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 969.66846875
transcript.pyannote[47].end 971.11971875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 971.84534375
transcript.pyannote[48].end 973.39784375
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 974.15721875
transcript.pyannote[49].end 975.84471875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 976.23284375
transcript.pyannote[50].end 980.50221875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 981.90284375
transcript.pyannote[51].end 983.03346875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 983.70846875
transcript.pyannote[52].end 984.67034375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 985.88534375
transcript.pyannote[53].end 987.60659375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 987.97784375
transcript.pyannote[54].end 988.87221875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 989.53034375
transcript.pyannote[55].end 990.30659375
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 990.88034375
transcript.pyannote[56].end 992.56784375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 992.73659375
transcript.pyannote[57].end 993.73221875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 995.09909375
transcript.pyannote[58].end 996.53346875
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 997.64721875
transcript.pyannote[59].end 998.69346875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 1000.00971875
transcript.pyannote[60].end 1001.05596875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 1001.47784375
transcript.pyannote[61].end 1002.72659375
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 1003.16534375
transcript.pyannote[62].end 1004.39721875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 1004.54909375
transcript.pyannote[63].end 1005.20721875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 1006.33784375
transcript.pyannote[64].end 1008.61596875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 1008.97034375
transcript.pyannote[65].end 1009.69596875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 1010.64096875
transcript.pyannote[66].end 1011.77159375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 1011.90659375
transcript.pyannote[67].end 1012.95284375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 1013.45909375
transcript.pyannote[68].end 1014.03284375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 1014.42096875
transcript.pyannote[69].end 1015.39971875
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 1015.68659375
transcript.pyannote[70].end 1016.26034375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 1016.68221875
transcript.pyannote[71].end 1018.47096875
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 1019.26409375
transcript.pyannote[72].end 1020.02346875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 1021.42409375
transcript.pyannote[73].end 1022.63909375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 1023.22971875
transcript.pyannote[74].end 1023.85409375
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 1025.13659375
transcript.pyannote[75].end 1025.94659375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 1026.08159375
transcript.pyannote[76].end 1027.16159375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 1028.05596875
transcript.pyannote[77].end 1028.81534375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 1029.60846875
transcript.pyannote[78].end 1031.95409375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 1034.28284375
transcript.pyannote[79].end 1035.75096875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 1036.17284375
transcript.pyannote[80].end 1037.80971875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 1037.87721875
transcript.pyannote[81].end 1039.71659375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 1040.18909375
transcript.pyannote[82].end 1050.01034375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 1050.44909375
transcript.pyannote[83].end 1051.71471875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 1052.45721875
transcript.pyannote[84].end 1053.45284375
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 1053.75659375
transcript.pyannote[85].end 1057.67159375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 1058.44784375
transcript.pyannote[86].end 1062.17721875
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 1063.67909375
transcript.pyannote[87].end 1066.04159375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 1066.83471875
transcript.pyannote[88].end 1069.01159375
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 1069.56846875
transcript.pyannote[89].end 1072.48784375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 1073.58471875
transcript.pyannote[90].end 1075.71096875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 1075.96409375
transcript.pyannote[91].end 1077.51659375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 1078.22534375
transcript.pyannote[92].end 1081.22909375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 1081.92096875
transcript.pyannote[93].end 1084.28346875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 1085.53221875
transcript.pyannote[94].end 1087.94534375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 1088.45159375
transcript.pyannote[95].end 1091.32034375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 1092.28221875
transcript.pyannote[96].end 1094.18909375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 1094.81346875
transcript.pyannote[97].end 1095.91034375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 1096.24784375
transcript.pyannote[98].end 1097.49659375
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 1098.10409375
transcript.pyannote[99].end 1099.67346875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 1100.71971875
transcript.pyannote[100].end 1101.78284375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 1102.00221875
transcript.pyannote[101].end 1102.91346875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 1104.39846875
transcript.pyannote[102].end 1104.95534375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 1105.07346875
transcript.pyannote[103].end 1105.86659375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 1106.37284375
transcript.pyannote[104].end 1108.61721875
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 1108.92096875
transcript.pyannote[105].end 1111.48596875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 1113.15659375
transcript.pyannote[106].end 1114.11846875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 1114.79346875
transcript.pyannote[107].end 1117.57784375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 1118.30346875
transcript.pyannote[108].end 1120.59846875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 1121.71221875
transcript.pyannote[109].end 1122.57284375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 1124.49659375
transcript.pyannote[110].end 1126.18409375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 1127.82096875
transcript.pyannote[111].end 1129.00221875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 1129.40721875
transcript.pyannote[112].end 1130.77409375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 1131.46596875
transcript.pyannote[113].end 1132.41096875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 1133.42346875
transcript.pyannote[114].end 1135.34721875
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 1136.24159375
transcript.pyannote[115].end 1137.20346875
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 1138.11471875
transcript.pyannote[116].end 1139.16096875
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 1139.71784375
transcript.pyannote[117].end 1140.25784375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 1140.88221875
transcript.pyannote[118].end 1141.50659375
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 1142.28284375
transcript.pyannote[119].end 1143.07596875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 1143.44721875
transcript.pyannote[120].end 1144.84784375
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 1147.29471875
transcript.pyannote[121].end 1148.72909375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 1149.15096875
transcript.pyannote[122].end 1153.89284375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 1154.46659375
transcript.pyannote[123].end 1158.73596875
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 1159.41096875
transcript.pyannote[124].end 1160.57534375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 1161.08159375
transcript.pyannote[125].end 1163.15721875
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 1163.76471875
transcript.pyannote[126].end 1166.09346875
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 1166.26221875
transcript.pyannote[127].end 1167.74721875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 1168.86096875
transcript.pyannote[128].end 1169.94096875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 1170.78471875
transcript.pyannote[129].end 1171.74659375
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 1172.28659375
transcript.pyannote[130].end 1176.11721875
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 1176.77534375
transcript.pyannote[131].end 1178.44596875
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 1178.68221875
transcript.pyannote[132].end 1180.60596875
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 1182.25971875
transcript.pyannote[133].end 1183.42409375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 1184.55471875
transcript.pyannote[134].end 1187.82846875
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 1189.54971875
transcript.pyannote[135].end 1196.80596875
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 1197.43034375
transcript.pyannote[136].end 1198.45971875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 1208.36534375
transcript.pyannote[137].end 1210.22159375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 1211.33534375
transcript.pyannote[138].end 1211.77409375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 1211.99346875
transcript.pyannote[139].end 1215.35159375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 1220.78534375
transcript.pyannote[140].end 1223.14784375
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 1223.36721875
transcript.pyannote[141].end 1227.02909375
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 1227.48471875
transcript.pyannote[142].end 1228.83471875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 1229.40846875
transcript.pyannote[143].end 1231.09596875
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 1231.45034375
transcript.pyannote[144].end 1233.25596875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 1233.61034375
transcript.pyannote[145].end 1240.05659375
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 1240.71471875
transcript.pyannote[146].end 1241.77784375
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 1242.21659375
transcript.pyannote[147].end 1244.83221875
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 1245.60846875
transcript.pyannote[148].end 1246.48596875
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 1246.68846875
transcript.pyannote[149].end 1248.20721875
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 1248.78096875
transcript.pyannote[150].end 1251.83534375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 1252.64534375
transcript.pyannote[151].end 1253.77596875
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 1254.34971875
transcript.pyannote[152].end 1258.18034375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 1258.72034375
transcript.pyannote[153].end 1260.10409375
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 1260.32346875
transcript.pyannote[154].end 1263.59721875
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 1263.93471875
transcript.pyannote[155].end 1265.57159375
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 1266.43221875
transcript.pyannote[156].end 1273.55346875
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 1274.12721875
transcript.pyannote[157].end 1276.10159375
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 1276.79346875
transcript.pyannote[158].end 1278.68346875
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 1278.83534375
transcript.pyannote[159].end 1286.88471875
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 1287.71159375
transcript.pyannote[160].end 1291.33971875
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 1291.60971875
transcript.pyannote[161].end 1312.09596875
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 1312.83846875
transcript.pyannote[162].end 1315.45409375
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 1316.17971875
transcript.pyannote[163].end 1328.34659375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 1328.78534375
transcript.pyannote[164].end 1330.48971875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 1331.16471875
transcript.pyannote[165].end 1334.01659375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 1334.75909375
transcript.pyannote[166].end 1336.42971875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 1337.08784375
transcript.pyannote[167].end 1340.91846875
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 1341.23909375
transcript.pyannote[168].end 1344.71534375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 1345.12034375
transcript.pyannote[169].end 1345.69409375
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 1346.40284375
transcript.pyannote[170].end 1351.38096875
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 1351.54971875
transcript.pyannote[171].end 1356.13971875
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 1356.66284375
transcript.pyannote[172].end 1360.20659375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 1360.83096875
transcript.pyannote[173].end 1368.55971875
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 1369.04909375
transcript.pyannote[174].end 1372.47471875
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 1373.08221875
transcript.pyannote[175].end 1376.38971875
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 1376.59221875
transcript.pyannote[176].end 1383.24096875
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 1383.67971875
transcript.pyannote[177].end 1386.83534375
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 1387.69596875
transcript.pyannote[178].end 1395.74534375
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 1396.09971875
transcript.pyannote[179].end 1402.19159375
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 1402.79909375
transcript.pyannote[180].end 1412.36721875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 1412.43471875
transcript.pyannote[181].end 1417.34534375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 1417.76721875
transcript.pyannote[182].end 1435.31721875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 1435.77284375
transcript.pyannote[183].end 1449.77909375
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 1450.28534375
transcript.pyannote[184].end 1468.89846875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 1466.01284375
transcript.pyannote[185].end 1466.36721875
transcript.pyannote[186].speaker SPEAKER_05
transcript.pyannote[186].start 1469.74221875
transcript.pyannote[186].end 1500.64034375
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 1501.24784375
transcript.pyannote[187].end 1502.32784375
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 1503.28971875
transcript.pyannote[188].end 1504.69034375
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 1505.06159375
transcript.pyannote[189].end 1510.00596875
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 1510.25909375
transcript.pyannote[190].end 1514.59596875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 1515.42284375
transcript.pyannote[191].end 1524.70409375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 1528.66971875
transcript.pyannote[192].end 1534.50846875
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 1540.14471875
transcript.pyannote[193].end 1545.69659375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 1545.76409375
transcript.pyannote[194].end 1556.73284375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 1557.23909375
transcript.pyannote[195].end 1560.04034375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 1560.39471875
transcript.pyannote[196].end 1560.93471875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 1561.10346875
transcript.pyannote[197].end 1563.04409375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 1563.14534375
transcript.pyannote[198].end 1567.60034375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 1567.81971875
transcript.pyannote[199].end 1570.30034375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 1570.68846875
transcript.pyannote[200].end 1578.70409375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 1578.99096875
transcript.pyannote[201].end 1580.81346875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 1581.11721875
transcript.pyannote[202].end 1581.82596875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 1582.11284375
transcript.pyannote[203].end 1589.48721875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 1589.80784375
transcript.pyannote[204].end 1593.85784375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 1594.33034375
transcript.pyannote[205].end 1595.98409375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 1596.30471875
transcript.pyannote[206].end 1600.67534375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 1600.91159375
transcript.pyannote[207].end 1602.19409375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 1602.46409375
transcript.pyannote[208].end 1605.60284375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 1605.95721875
transcript.pyannote[209].end 1621.53284375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 1621.66784375
transcript.pyannote[210].end 1624.73909375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 1625.27909375
transcript.pyannote[211].end 1629.83534375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 1630.20659375
transcript.pyannote[212].end 1633.09221875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 1634.15534375
transcript.pyannote[213].end 1640.19659375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 1640.58471875
transcript.pyannote[214].end 1652.34659375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 1652.51534375
transcript.pyannote[215].end 1654.42221875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 1655.02971875
transcript.pyannote[216].end 1660.27784375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 1660.93596875
transcript.pyannote[217].end 1673.91284375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 1674.33471875
transcript.pyannote[218].end 1679.80221875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 1679.93721875
transcript.pyannote[219].end 1719.76221875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 1720.16721875
transcript.pyannote[220].end 1725.34784375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 1725.60096875
transcript.pyannote[221].end 1729.09409375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 1729.43159375
transcript.pyannote[222].end 1732.68846875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 1732.95846875
transcript.pyannote[223].end 1739.21909375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 1739.42159375
transcript.pyannote[224].end 1742.39159375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 1742.62784375
transcript.pyannote[225].end 1743.35346875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 1744.04534375
transcript.pyannote[226].end 1750.12034375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 1750.72784375
transcript.pyannote[227].end 1752.65159375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 1753.19159375
transcript.pyannote[228].end 1768.95284375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 1769.45909375
transcript.pyannote[229].end 1785.94596875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 1786.57034375
transcript.pyannote[230].end 1795.14284375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 1795.78409375
transcript.pyannote[231].end 1795.91909375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 1796.03721875
transcript.pyannote[232].end 1799.02409375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 1799.09159375
transcript.pyannote[233].end 1801.35284375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 1801.63971875
transcript.pyannote[234].end 1805.47034375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 1805.85846875
transcript.pyannote[235].end 1807.37721875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 1807.66409375
transcript.pyannote[236].end 1808.64284375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 1809.04784375
transcript.pyannote[237].end 1811.39346875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 1811.96721875
transcript.pyannote[238].end 1816.45596875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 1817.01284375
transcript.pyannote[239].end 1818.26159375
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 1818.73409375
transcript.pyannote[240].end 1819.35846875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 1819.91534375
transcript.pyannote[241].end 1820.30346875
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 1820.74221875
transcript.pyannote[242].end 1829.63534375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 1830.00659375
transcript.pyannote[243].end 1830.46221875
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 1831.06971875
transcript.pyannote[244].end 1834.22534375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 1834.66409375
transcript.pyannote[245].end 1840.03034375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 1846.20659375
transcript.pyannote[246].end 1848.83909375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 1848.95721875
transcript.pyannote[247].end 1864.97159375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 1865.47784375
transcript.pyannote[248].end 1867.16534375
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 1867.24971875
transcript.pyannote[249].end 1878.53909375
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 1878.94409375
transcript.pyannote[250].end 1883.77034375
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 1883.97284375
transcript.pyannote[251].end 1891.65096875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 1891.87034375
transcript.pyannote[252].end 1893.99659375
transcript.whisperx[0].start 692.898
transcript.whisperx[0].end 715.017
transcript.whisperx[0].text 現在我們繼續開全委委員會我們現在請秘書長報告出席人數報告全委委員會出席委員六三年已足法定人數我們現在開會本次全委委員會是議程一上午院會所通過附議案審查時曾之決定辦理我們現在進行報告事項請秘書長宣讀第三會期第二次全院委員會議事錄
transcript.whisperx[1].start 716.897
transcript.whisperx[1].end 738.808
transcript.whisperx[1].text 宣讀立法院第十一屆第三會議及第二次全院委員會議事錄時間中華民國一百四點三月十一日上午九十一分至十二十八分下午二十三十分至三十三十五分三月十二日上午九十至十一時五十九分下午二十三十一分至三十五十一分地點本業一場出席委員張委員嘉峻等一百十二人
transcript.whisperx[2].start 739.648
transcript.whisperx[2].end 767.596
transcript.whisperx[2].text 列席官員行政院院長卓榮泰等三四連主席院長韓國瑜副院長江啟臣報告事項第一案宣讀本院第十一屆第三會期第一次全院委員會議事錄決定確定討論事項第一案至第四案決議提報院會以記名投票表決宣讀完畢報告全院委員會我們針對第三會期第二次會議的議事錄並沒有委員或黨團提出錯誤或遺漏之處我們現在做以下決定
transcript.whisperx[3].start 768.436
transcript.whisperx[3].end 773.64
transcript.whisperx[3].text 第三會期第二次全院委員會議事錄確定報告全院委員會
transcript.whisperx[4].start 774.929
transcript.whisperx[4].end 795.466
transcript.whisperx[4].text 一朝上午院會的決定以上兩岸全院委員會審查時不邀請行政院院長說明由國民黨團推派一位民進黨黨團推派一位台灣民眾黨黨團推派一位每位發言五分鐘現在請各黨團推派之代表發言首先我們請張祺凱委員發言吳思堯委員請準備
transcript.whisperx[5].start 806.274
transcript.whisperx[5].end 834.271
transcript.whisperx[5].text 我們現在 對不起 更正補宣讀一下我們現在進行討論四項請議事人員一併宣讀討論四項第一案及第二案討論四項第一案行政委行為本院三讀通過修正警察人員人事條例部分條文其中第35條第一項第四款含附表3第二項第三項及第六項條文經研議卻屬治案難行依憲法增修條文第三條第二項第二款規定以請本院負議案
transcript.whisperx[6].start 835.131
transcript.whisperx[6].end 860.352
transcript.whisperx[6].text 第二案 總統府秘書長韓維本院通過修正警察人員人事條例部分條文 咨請總統公佈案經行見面研議 以其中第三十五條第一項第四款 含附表三第二項第三項及第六項 確屬治安難行以依憲法徵收條文第三條第二項第二款規定 存奉總統合格 以請本院復議案宣讀完畢我們現在請張綺凱委員發言 吳思堯委員請準備
transcript.whisperx[7].start 894.265
transcript.whisperx[7].end 905.254
transcript.whisperx[7].text 現在警消人員正在守護我們的安全他們現在在救台灣在救我們所有台灣的人民
transcript.whisperx[8].start 908.117
transcript.whisperx[8].end 926.341
transcript.whisperx[8].text 我們台灣民眾黨曾經做了兩次大型的民調清楚顯示絕大部分的民眾都贊成不要再繼續民進黨推動的大砍井銷的退休年金要適度的提高這是台灣共識
transcript.whisperx[9].start 931.633
transcript.whisperx[9].end 952.246
transcript.whisperx[9].text 不分年齡層跨世代的支持跨越了所有的教育跟年齡層這是台灣共識可是民進黨沒有把警消的辛勞放在心裡你們到底是多看不起對警消人員到底有多少的意見啊這次
transcript.whisperx[10].start 956.417
transcript.whisperx[10].end 983.77
transcript.whisperx[10].text 警察人員人事條例的修正在今年1月4號就已經三讀通過了可是民進黨冒著可能違憲的這個餘力一直偷不送到總統府公告竟然還提了復議案選擇跟民意對撞民進黨的心裡眼裡根本就沒有我們警消人員全系部部長還抹黑說
transcript.whisperx[11].start 985.919
transcript.whisperx[11].end 1007.459
transcript.whisperx[11].text 我們退休的警消人員有八成領的錢比那個常務次長退下來還多這根本就是造謠實際的真相是超過一千位可能找不到一位可以領到像常事那樣的錢結果台灣民眾黨跟國民黨砍掉
transcript.whisperx[12].start 1010.717
transcript.whisperx[12].end 1031.57
transcript.whisperx[12].text 全新部部長的這個特別費要他更正道歉到現在都沒有明確的道歉也沒有更正老柯柯總召還說警消如果組工會啊就會罷工就導致中共來攻打台灣
transcript.whisperx[13].start 1034.312
transcript.whisperx[13].end 1061.98
transcript.whisperx[13].text 等一下民進黨的代表幹事長吳子雅會上台請你們給我們解釋清楚為什麼全西部誤導你民進黨現在還一直在某些造謠說退休的警消人員可以領到像常務司長那麼多的錢還有我們的柯總召為什麼沒紅沒紅警消人員組的工會就導致中共侵台啦你們NU到底有沒有警消人員因為把他們放在心上
transcript.whisperx[14].start 1063.695
transcript.whisperx[14].end 1091.133
transcript.whisperx[14].text 台灣民眾黨做的民調清清楚楚超過七成以上的民眾都支持這次的警察人員人事條例這個修正七成以上的民眾全部都贊成特別是年輕的族群20到29歲呀 七成三支持30到39歲 超過八成喔40到49歲 也接近七成三從各個教育培去看 也全部都是支持的
transcript.whisperx[15].start 1092.315
transcript.whisperx[15].end 1115.1
transcript.whisperx[15].text 因為大家都很知道很清楚我們的警消人員是非常辛苦的他們的工作非常的危險工作時間又長壓力又大事實上根據統計警消人員的平均餘命比我們一般人少了5到10年內政部的統計2017年到2021年這6年
transcript.whisperx[16].start 1118.362
transcript.whisperx[16].end 1144.44
transcript.whisperx[16].text 警察因公殉職的就有47位因公受傷的4837位消防兄弟們消防署的這個統計我們的打火兄弟最近這10年就有28位不幸殉職了不幸殉職了結果民進黨今天公祭明天就忘記
transcript.whisperx[17].start 1147.369
transcript.whisperx[17].end 1169.682
transcript.whisperx[17].text 像這次的這個修法不只是台灣的共識也是因為台灣最近這幾年的財政變好了106年民進黨推動大砍景蕭的推銷年金的時候我們的財政有些問題犧牲了我們的景蕭兄弟們可是最近這幾年我們財政變好了財政年年超出民進黨沒有看到
transcript.whisperx[18].start 1170.994
transcript.whisperx[18].end 1197.791
transcript.whisperx[18].text 財政超說了看到退府基金這幾年投資效率增加了嗎為什麼要繼續霸凌驚欺惑我們的警消人員呢所以我們鄭重的呼籲請給我們的警消人員應該有的保障不是給多高只是希望他們在工作的時候是有尊嚴的退休是有保障的請民進黨不要再霸凌警消人員 謝謝
transcript.whisperx[19].start 1208.47
transcript.whisperx[19].end 1210.073
transcript.whisperx[19].text 謝謝張啟凱委員發言我們接下來請吳思瑤委員發言吳宗憲委員請準備
transcript.whisperx[20].start 1221.034
transcript.whisperx[20].end 1239.208
transcript.whisperx[20].text 主席各位同仁大家辛苦了剛剛民眾黨代表張其凱委員講到台灣共識什麼是台灣共識藍白當家的國會反改革反進步不公不義回來了世代不正義回來了這才是現在的台灣共識
transcript.whisperx[21].start 1240.785
transcript.whisperx[21].end 1265.221
transcript.whisperx[21].text 容我要提醒如果怕罷免就支持復议案怕罷免就支持年轻人怕罷免就请支持年金改革国难是什么不是国民党一再炒作的川普关税的冲击真正的国难是台湾的在野党并不忠诚要搞垮国家
transcript.whisperx[22].start 1266.502
transcript.whisperx[22].end 1286.678
transcript.whisperx[22].text 如果說世代正義退府制度年金永續比較不好懂那我們就來講錢絕對讓國人很有感藍白當家的立法院搞倒國家敗光國家是現在進行式我們來算一算財化法搬走3753億總預算砍了2076億還沒算個準凍結1608億
transcript.whisperx[23].start 1293.644
transcript.whisperx[23].end 1314.994
transcript.whisperx[23].text 加上朱立倫說要紓困舊股市至少要花兩千億還有要普發現金兩千三百億大家算一算加上今天的年改法案如果再被強行通過複議案被封殺了將造成國庫更無以數計的支出計算機跌跌的 算盤跌跌的
transcript.whisperx[24].start 1316.483
transcript.whisperx[24].end 1333.162
transcript.whisperx[24].text 藍白62席立委上任一年多就已經敗光國家至少一兆兩千億如果再加上很多的錢坑肉桶法案至少是三兆起跳以為國家是楷子把國庫當作政治的提款機嗎
transcript.whisperx[25].start 1334.824
transcript.whisperx[25].end 1355.723
transcript.whisperx[25].text 在座的各位想一想这一届的立法院就说这一年好了2025年立法院通过了什么扶国立民的民生法案了吗没有但是你们联手否决了限诉法的复议案瘫痪宪法法庭你们否决了选罢法的复议案没收人民的罢免权
transcript.whisperx[26].start 1357.225
transcript.whisperx[26].end 1372.097
transcript.whisperx[26].text 總預算的時候你們現在說趕快來解凍要挽救總預算最好的方式是當時來支持總預算的復議案但你們依舊聯手封殺現在還說省下的預算可以來救股市
transcript.whisperx[27].start 1373.338
transcript.whisperx[27].end 1401.858
transcript.whisperx[27].text 國民黨可以讓死人復活去聯署但是立法院沒有辦法拿被刪掉的預算再挪用再支用藍白的委員到底是笨還是壞呢我也要說今天的反年改的法案附議如果被封殺造成了國庫千億以上的支出可以拿你們每年砍總預算來彌補補回嗎也不可能
transcript.whisperx[28].start 1402.859
transcript.whisperx[28].end 1413.711
transcript.whisperx[28].text 很遺憾今天行政院沒有辦法來這裡報告也沒有機會上台備詢直球對決容我再一次向國人報告警察人員人事條例摯愛難行的幾個重點第一個
transcript.whisperx[29].start 1420.417
transcript.whisperx[29].end 1434.762
transcript.whisperx[29].text 違憲違憲違憲大幅增加政府的財政支出違反財政紀律更違反憲法權利分立原則違反憲法的平等原則第二你們破壞了退府制度的公平性是擴大不平等造成世代不正義
transcript.whisperx[30].start 1435.842
transcript.whisperx[30].end 1449.416
transcript.whisperx[30].text 第三如果今天不一樣被封殺了警察人員原是條例將警消的所得替代率提高到八成新增政府的支出668億退府基金會提早至少兩年破產還有
transcript.whisperx[31].start 1451.198
transcript.whisperx[31].end 1466.234
transcript.whisperx[31].text 把所得替代率提高到八成那麼會加速讓員警提早退休形成台灣的警力中空把治安搞壞搞爛你們藍白可以負責嗎我也要負責我也要來闢謠一下張祺凱委員
transcript.whisperx[32].start 1469.795
transcript.whisperx[32].end 1488.72
transcript.whisperx[32].text 照顧警消要優先照顧現役的警消人員需要提高在職的警消人員的各類津貼補助保險福利民進黨做的比國民黨多太多了而不是拿錢去補貼退休警察的待遇這是找錯解方我也要闢謠年改
transcript.whisperx[33].start 1490.9
transcript.whisperx[33].end 1502.071
transcript.whisperx[33].text 並沒有違反憲法的信賴保護原則大法官早已經在781、782、783號的三號解釋文都說年改是合憲的所以各位朋友
transcript.whisperx[34].start 1503.328
transcript.whisperx[34].end 1523.894
transcript.whisperx[34].text 跟年輕人站在一起跟世代正義站在一起我再說一次如果怕罷免請投下支持復議案的贊成票支持年輕世代支持台灣的年輕永續請勇敢地按下贊成票謝謝
transcript.whisperx[35].start 1529.561
transcript.whisperx[35].end 1556.596
transcript.whisperx[35].text 謝謝吳思瑤委員的發言接下來我們請吳宗憲委員發言主席 各位立委同仁 各位國人 大家早安我想我們這一次就法案主要提出是希望能夠保障警察 消防 海巡 移民跟空勤同仁的退休生活因為這些人長期就處在一個高危險 高壓的工作環境
transcript.whisperx[36].start 1557.276
transcript.whisperx[36].end 1580.678
transcript.whisperx[36].text 那政府說這樣對其他的公務員不公平但是我在這邊跟各位報告以警察同仁來說因公傷殘每年高達700多人那前兩年更逼近900多人過去七年我們警消因公殉職的84人而全國軍公教因公殉職是229人所以公警消就佔了
transcript.whisperx[37].start 1581.338
transcript.whisperx[37].end 1593.733
transcript.whisperx[37].text 軍公教 英工殉職人數的三分之一以上那更不要講說分母有非常大的差距比例上也有非常大的差距那這些數字其實很可怕因為每一個數字它代表的就是一個家庭
transcript.whisperx[38].start 1594.846
transcript.whisperx[38].end 1620.82
transcript.whisperx[38].text 就像我之前說過我當年在當檢察官的時候因為帶隊搜索曾經被歹毒開過槍雙方開了六十幾槍我爸爸吃早餐的時候看新聞看到他非常的生氣但他生氣的不是我去工作他生氣的是說如果我被打到的話那我們的這個家庭怎麼辦那其實這個心情就是警察、消防、海巡、空勤這些人他們家屬的心情我想我能夠真的非常能夠的體會還有
transcript.whisperx[39].start 1622.361
transcript.whisperx[39].end 1632.332
transcript.whisperx[39].text 夏天的季節颱風季節快到了那颱風的時候當我們在家避難可是這些人卻要在外面停休的在執勤所以當人民面對天災人禍的時候
transcript.whisperx[40].start 1634.335
transcript.whisperx[40].end 1659.53
transcript.whisperx[40].text 這些警消是往人們逃難的方向去接近這些危險去用生命來保護我們的國人那政府本來應該就要對他們獻上最高的敬意怎麼可以說在需要他們的時候把他們護來換去不需要他們的時候又不把他們當一回事拋諸腦後這個都不對而且警察的平均死亡年齡是75歲消防弟兄是62歲平均不到70歲
transcript.whisperx[41].start 1660.97
transcript.whisperx[41].end 1681.071
transcript.whisperx[41].text 那跟國人的平均壽命81歲相比其實差距到10年之多這是因為他們數十年的辛勞日夜顛倒甚至他們都在最危險的地方所以導致他們的健康惡化那跟固定上班的公務員怎麼能夠比呢所以我們當然認為他們跟固定上班的公務員狀況是不太一樣
transcript.whisperx[42].start 1682.833
transcript.whisperx[42].end 1698.966
transcript.whisperx[42].text 其實剛剛吳孝文說的沒有錯大法官確實在釋字裡面有提到信賴保護的部分但是解讀似乎又還有一點差距因為大法官雖然說大法官其實他的說法是說這些公務員
transcript.whisperx[43].start 1699.707
transcript.whisperx[43].end 1724.765
transcript.whisperx[43].text 的年金是有信賴保護原則的保障必要但是如果因為公益的需求這時候信賴保護是加以限縮的所以當國家財政發生問題有危難的時候我相信所有的警消海巡空勤這些人以及所有的國人都願意共體時間但是呢我們現在看到的是國家拿了史上最高的總預算
transcript.whisperx[44].start 1725.906
transcript.whisperx[44].end 1743.051
transcript.whisperx[44].text 國家拿到了史上最高的超收稅額結果在這個沒有任何公益需求的情況下卻拿這個釋字出來這個其實是完全誤解大法官會議的解釋大法官是說有公益需求的時候才不受信賴保護
transcript.whisperx[45].start 1744.091
transcript.whisperx[45].end 1768.57
transcript.whisperx[45].text 今天沒有公益需求我們當然要給他們當年同意給他們的退休制度更何況一個負責任的政府看看我們鄰近的國家大家在做的是提高現職的勞工公務員的薪水提高社會新鮮人的起薪大家在做的這個事情而不是把所有的人摳摳在一起去鬥退休的人員
transcript.whisperx[46].start 1769.531
transcript.whisperx[46].end 1794.932
transcript.whisperx[46].text 政府沒有能力提高限職人員的薪水就叫限職的人去鬥退休的人這個是不對的更何況一年只增加20億可是我們台電的錯誤能源政策國家錯誤的能源政策讓台電這兩年已經撥補了從賺錢變成我們他需要賠了4000多億所以這個錢跟我們能夠讓景蕭能夠安穩的退休其實是有一個很大的差距
transcript.whisperx[47].start 1796.195
transcript.whisperx[47].end 1816.216
transcript.whisperx[47].text 再來總統這幾年說警察打詐不利但我要跟各位報告我是辦刑事案件出身的打詐真正該管的是政府行政機關你敢不敢對Google開罰敢不敢對Meta開罰而不是說你完全不做前端的行政控管然後就罵後面的警察
transcript.whisperx[48].start 1817.337
transcript.whisperx[48].end 1839.699
transcript.whisperx[48].text 打仗不利最後我們要感謝傾瀟海巡 移民組 空巡 同仁這些人用生命 用青春 犧牲健康來維護這個社會安全所以就像我們用自己的安危在保護這個社會一樣我們希望當他們用生命熱愛這個國家的時候國家千萬不要忘了他們
transcript.whisperx[49].start 1846.98
transcript.whisperx[49].end 1873.174
transcript.whisperx[49].text 謝謝吳宗憲委員的發言報告全院委員會各黨團推派代表的委員均已發言完畢行政院所提出的復議案我們已經審查完畢我們現在做以下決議提報院會以記名投票表決向全院委員會報告依照上午的院會決定全院委員會審查完畢同日改開院會進行復議案記名投票表決
transcript.whisperx[50].start 1874.214
transcript.whisperx[50].end 1893.577
transcript.whisperx[50].text 我們定在本日上午11點15分改開院會請各位委員屆時出席院會進行附議案之記名投票表決本次全院委員會進行到此為止現在全院委員會散會