iVOD / 155980

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f30dcf391021d6306702f6c9b684fbd5d49a24f4c608aef66e8eac7fc2cd0ec158e5f3beada05b45ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 12:01:32 - 12:10:58
影片長度 566
會議時間 2024-10-23T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第5次全體委員會議(事由:邀請衛生福利部部長、法務部、內政部、財政部、教育部列席就「有關新興煙毒品防制及強化虐童防治作為」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 2.41034375
transcript.pyannote[0].end 3.74346875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 7.45596875
transcript.pyannote[1].end 7.89471875
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 8.73846875
transcript.pyannote[2].end 9.86909375
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 10.20659375
transcript.pyannote[3].end 10.45971875
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 10.93221875
transcript.pyannote[4].end 11.55659375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 12.40034375
transcript.pyannote[5].end 14.76284375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 16.38284375
transcript.pyannote[6].end 18.35721875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 21.00659375
transcript.pyannote[7].end 27.75659375
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 21.66471875
transcript.pyannote[8].end 22.25534375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 28.29659375
transcript.pyannote[9].end 29.46096875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 29.83221875
transcript.pyannote[10].end 30.47346875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 30.47346875
transcript.pyannote[11].end 30.84471875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 30.84471875
transcript.pyannote[12].end 30.96284375
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 30.96284375
transcript.pyannote[13].end 31.14846875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 31.14846875
transcript.pyannote[14].end 31.18221875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 31.57034375
transcript.pyannote[15].end 31.60409375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 31.60409375
transcript.pyannote[16].end 33.96659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 33.96659375
transcript.pyannote[17].end 34.03409375
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 34.03409375
transcript.pyannote[18].end 34.10159375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 34.75971875
transcript.pyannote[19].end 34.77659375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 34.77659375
transcript.pyannote[20].end 35.87346875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 36.93659375
transcript.pyannote[21].end 40.85159375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 41.49284375
transcript.pyannote[22].end 43.97346875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 44.64846875
transcript.pyannote[23].end 46.13346875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 46.80846875
transcript.pyannote[24].end 48.04034375
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 48.76596875
transcript.pyannote[25].end 50.38596875
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 51.66846875
transcript.pyannote[26].end 52.46159375
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 52.98471875
transcript.pyannote[27].end 55.17846875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 56.27534375
transcript.pyannote[28].end 59.81909375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 60.73034375
transcript.pyannote[29].end 62.83971875
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 64.12221875
transcript.pyannote[30].end 66.06284375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 66.88971875
transcript.pyannote[31].end 67.54784375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 67.90221875
transcript.pyannote[32].end 68.44221875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 69.21846875
transcript.pyannote[33].end 69.96096875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 70.28159375
transcript.pyannote[34].end 71.22659375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 71.80034375
transcript.pyannote[35].end 72.47534375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 74.04471875
transcript.pyannote[36].end 74.82096875
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 75.71534375
transcript.pyannote[37].end 76.50846875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 77.72346875
transcript.pyannote[38].end 78.41534375
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 79.22534375
transcript.pyannote[39].end 79.90034375
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 80.06909375
transcript.pyannote[40].end 80.94659375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 81.43596875
transcript.pyannote[41].end 82.48221875
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 82.88721875
transcript.pyannote[42].end 84.10221875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 84.10221875
transcript.pyannote[43].end 84.11909375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 84.32159375
transcript.pyannote[44].end 84.69284375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 85.08096875
transcript.pyannote[45].end 86.92034375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 87.44346875
transcript.pyannote[46].end 108.30096875
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 107.23784375
transcript.pyannote[47].end 108.16596875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 109.12784375
transcript.pyannote[48].end 110.44409375
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 110.19096875
transcript.pyannote[49].end 110.24159375
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 110.44409375
transcript.pyannote[50].end 111.60846875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 112.51971875
transcript.pyannote[51].end 112.97534375
transcript.pyannote[52].speaker SPEAKER_06
transcript.pyannote[52].start 115.57409375
transcript.pyannote[52].end 122.69534375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 122.35784375
transcript.pyannote[53].end 126.12096875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 126.49221875
transcript.pyannote[54].end 128.77034375
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 129.51284375
transcript.pyannote[55].end 131.09909375
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 131.99346875
transcript.pyannote[56].end 133.42784375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 133.76534375
transcript.pyannote[57].end 134.77784375
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 135.60471875
transcript.pyannote[58].end 136.44846875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 137.95034375
transcript.pyannote[59].end 139.36784375
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 139.78971875
transcript.pyannote[60].end 140.76846875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 141.79784375
transcript.pyannote[61].end 143.09721875
transcript.pyannote[62].speaker SPEAKER_06
transcript.pyannote[62].start 143.23221875
transcript.pyannote[62].end 143.78909375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 143.95784375
transcript.pyannote[63].end 144.68346875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 145.13909375
transcript.pyannote[64].end 146.03346875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 146.30346875
transcript.pyannote[65].end 147.80534375
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 148.39596875
transcript.pyannote[66].end 149.07096875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 149.44221875
transcript.pyannote[67].end 150.99471875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 152.15909375
transcript.pyannote[68].end 152.66534375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 152.66534375
transcript.pyannote[69].end 152.68221875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 154.18409375
transcript.pyannote[70].end 158.25096875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 158.30159375
transcript.pyannote[71].end 160.96784375
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 160.96784375
transcript.pyannote[72].end 162.45284375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 162.45284375
transcript.pyannote[73].end 162.46971875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 162.67221875
transcript.pyannote[74].end 162.68909375
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 162.68909375
transcript.pyannote[75].end 171.19409375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 165.94596875
transcript.pyannote[76].end 167.05971875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 171.53159375
transcript.pyannote[77].end 174.31596875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 174.50159375
transcript.pyannote[78].end 175.63221875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 175.34534375
transcript.pyannote[79].end 179.91846875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 180.25596875
transcript.pyannote[80].end 182.06159375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 182.21346875
transcript.pyannote[81].end 182.88846875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 183.46221875
transcript.pyannote[82].end 184.49159375
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 184.91346875
transcript.pyannote[83].end 186.98909375
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 189.18284375
transcript.pyannote[84].end 189.21659375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 189.21659375
transcript.pyannote[85].end 189.26721875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 189.26721875
transcript.pyannote[86].end 189.35159375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 189.35159375
transcript.pyannote[87].end 189.87471875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 190.19534375
transcript.pyannote[88].end 193.73909375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 191.47784375
transcript.pyannote[89].end 192.57471875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 194.21159375
transcript.pyannote[90].end 195.24096875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 195.37596875
transcript.pyannote[91].end 207.98159375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 207.86346875
transcript.pyannote[92].end 209.41596875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 208.03221875
transcript.pyannote[93].end 208.08284375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 208.43721875
transcript.pyannote[94].end 208.96034375
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 209.75346875
transcript.pyannote[95].end 212.01471875
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 212.48721875
transcript.pyannote[96].end 215.37284375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 216.11534375
transcript.pyannote[97].end 216.52034375
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 217.38096875
transcript.pyannote[98].end 219.72659375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 219.76034375
transcript.pyannote[99].end 220.24971875
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 220.31721875
transcript.pyannote[100].end 220.94159375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 221.46471875
transcript.pyannote[101].end 224.82284375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 225.21096875
transcript.pyannote[102].end 226.17284375
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 227.06721875
transcript.pyannote[103].end 229.27784375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 228.41721875
transcript.pyannote[104].end 229.04159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 229.04159375
transcript.pyannote[105].end 229.17659375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 231.18471875
transcript.pyannote[106].end 232.02846875
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 232.12971875
transcript.pyannote[107].end 232.95659375
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 233.39534375
transcript.pyannote[108].end 236.70284375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 236.90534375
transcript.pyannote[109].end 238.55909375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 239.36909375
transcript.pyannote[110].end 241.68096875
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 242.82846875
transcript.pyannote[111].end 243.72284375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 244.90409375
transcript.pyannote[112].end 245.41034375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 245.66346875
transcript.pyannote[113].end 246.03471875
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 246.64221875
transcript.pyannote[114].end 247.26659375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 248.48159375
transcript.pyannote[115].end 250.97909375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 251.36721875
transcript.pyannote[116].end 252.46409375
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 252.71721875
transcript.pyannote[117].end 255.38346875
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 255.99096875
transcript.pyannote[118].end 256.64909375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 256.85159375
transcript.pyannote[119].end 259.02846875
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 260.58096875
transcript.pyannote[120].end 261.18846875
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 262.84221875
transcript.pyannote[121].end 263.44971875
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 264.34409375
transcript.pyannote[122].end 264.91784375
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 265.23846875
transcript.pyannote[123].end 266.16659375
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 266.74034375
transcript.pyannote[124].end 268.59659375
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 269.72721875
transcript.pyannote[125].end 270.60471875
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 271.02659375
transcript.pyannote[126].end 272.10659375
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 272.37659375
transcript.pyannote[127].end 274.18221875
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 274.97534375
transcript.pyannote[128].end 276.74721875
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 277.60784375
transcript.pyannote[129].end 279.61596875
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 279.68346875
transcript.pyannote[130].end 280.61159375
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 280.67909375
transcript.pyannote[131].end 281.89409375
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 282.31596875
transcript.pyannote[132].end 284.94846875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 285.70784375
transcript.pyannote[133].end 289.25159375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 289.60596875
transcript.pyannote[134].end 291.88409375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 292.74471875
transcript.pyannote[135].end 295.69784375
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 296.81159375
transcript.pyannote[136].end 300.20346875
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 300.28784375
transcript.pyannote[137].end 301.97534375
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 302.31284375
transcript.pyannote[138].end 312.69096875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 313.46721875
transcript.pyannote[139].end 314.49659375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 314.78346875
transcript.pyannote[140].end 315.25596875
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 316.53846875
transcript.pyannote[141].end 318.20909375
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 318.42846875
transcript.pyannote[142].end 319.98096875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 320.21721875
transcript.pyannote[143].end 321.58409375
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 321.88784375
transcript.pyannote[144].end 323.18721875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 323.82846875
transcript.pyannote[145].end 324.95909375
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 325.73534375
transcript.pyannote[146].end 326.32596875
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 326.49471875
transcript.pyannote[147].end 326.89971875
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 327.08534375
transcript.pyannote[148].end 327.47346875
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 327.52409375
transcript.pyannote[149].end 330.08909375
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 331.27034375
transcript.pyannote[150].end 331.81034375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 332.18159375
transcript.pyannote[151].end 333.46409375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 334.91534375
transcript.pyannote[152].end 336.33284375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 336.36659375
transcript.pyannote[153].end 336.41721875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 336.45096875
transcript.pyannote[154].end 336.46784375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 336.46784375
transcript.pyannote[155].end 337.42971875
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 337.81784375
transcript.pyannote[156].end 338.37471875
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 338.76284375
transcript.pyannote[157].end 345.69846875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 342.07034375
transcript.pyannote[158].end 342.54284375
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 346.32284375
transcript.pyannote[159].end 349.02284375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 348.02721875
transcript.pyannote[160].end 348.34784375
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 349.02284375
transcript.pyannote[161].end 349.56284375
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 349.56284375
transcript.pyannote[162].end 350.62596875
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 349.57971875
transcript.pyannote[163].end 349.90034375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 350.55846875
transcript.pyannote[164].end 352.11096875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 352.53284375
transcript.pyannote[165].end 356.61659375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 357.52784375
transcript.pyannote[166].end 358.35471875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 358.35471875
transcript.pyannote[167].end 362.11784375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 362.11784375
transcript.pyannote[168].end 362.13471875
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 363.88971875
transcript.pyannote[169].end 363.90659375
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 363.90659375
transcript.pyannote[170].end 364.02471875
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 364.02471875
transcript.pyannote[171].end 365.69534375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 366.15096875
transcript.pyannote[172].end 367.38284375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 368.07471875
transcript.pyannote[173].end 370.84221875
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 371.50034375
transcript.pyannote[174].end 374.18346875
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 374.68971875
transcript.pyannote[175].end 376.73159375
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 377.62596875
transcript.pyannote[176].end 379.16159375
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 379.76909375
transcript.pyannote[177].end 380.93346875
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 381.55784375
transcript.pyannote[178].end 384.20721875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 384.86534375
transcript.pyannote[179].end 385.62471875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 385.89471875
transcript.pyannote[180].end 386.13096875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 386.60346875
transcript.pyannote[181].end 412.54034375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 390.72096875
transcript.pyannote[182].end 390.78846875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 391.02471875
transcript.pyannote[183].end 391.19346875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 391.83471875
transcript.pyannote[184].end 392.96534375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 392.96534375
transcript.pyannote[185].end 393.28596875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 398.90534375
transcript.pyannote[186].end 401.31846875
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 412.25346875
transcript.pyannote[187].end 417.87284375
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 418.53096875
transcript.pyannote[188].end 422.32784375
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 423.22221875
transcript.pyannote[189].end 424.01534375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 425.61846875
transcript.pyannote[190].end 426.90096875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 428.25096875
transcript.pyannote[191].end 432.75659375
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 431.03534375
transcript.pyannote[192].end 431.59221875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 431.99721875
transcript.pyannote[193].end 432.73971875
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 432.75659375
transcript.pyannote[194].end 435.15284375
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 436.58721875
transcript.pyannote[195].end 438.61221875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 439.91159375
transcript.pyannote[196].end 443.50596875
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 444.09659375
transcript.pyannote[197].end 452.77034375
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 453.71534375
transcript.pyannote[198].end 455.50409375
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 455.80784375
transcript.pyannote[199].end 459.13221875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 458.28846875
transcript.pyannote[200].end 462.74346875
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 462.74346875
transcript.pyannote[201].end 464.43096875
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 464.54909375
transcript.pyannote[202].end 465.51096875
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 466.87784375
transcript.pyannote[203].end 467.85659375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 470.13471875
transcript.pyannote[204].end 470.94471875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 471.67034375
transcript.pyannote[205].end 473.25659375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 473.45909375
transcript.pyannote[206].end 475.26471875
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 475.41659375
transcript.pyannote[207].end 477.03659375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 479.46659375
transcript.pyannote[208].end 487.58346875
transcript.pyannote[209].speaker SPEAKER_05
transcript.pyannote[209].start 487.14471875
transcript.pyannote[209].end 489.30471875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 489.30471875
transcript.pyannote[210].end 493.62471875
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 493.62471875
transcript.pyannote[211].end 495.16034375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 493.74284375
transcript.pyannote[212].end 493.81034375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 493.89471875
transcript.pyannote[213].end 494.51909375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 494.73846875
transcript.pyannote[214].end 500.81346875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 498.67034375
transcript.pyannote[215].end 500.44221875
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 500.81346875
transcript.pyannote[216].end 500.83034375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 500.83034375
transcript.pyannote[217].end 500.84721875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 501.11721875
transcript.pyannote[218].end 504.54284375
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 502.97346875
transcript.pyannote[219].end 506.88846875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 507.66471875
transcript.pyannote[220].end 507.90096875
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 508.30596875
transcript.pyannote[221].end 509.23409375
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 510.02721875
transcript.pyannote[222].end 512.57534375
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 512.65971875
transcript.pyannote[223].end 515.03909375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 515.03909375
transcript.pyannote[224].end 515.24159375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 515.44409375
transcript.pyannote[225].end 523.03784375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 519.08909375
transcript.pyannote[226].end 519.93284375
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 520.50659375
transcript.pyannote[227].end 522.97034375
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 523.03784375
transcript.pyannote[228].end 524.65784375
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 525.41721875
transcript.pyannote[229].end 525.99096875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 526.37909375
transcript.pyannote[230].end 526.41284375
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 526.41284375
transcript.pyannote[231].end 528.04971875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 528.04971875
transcript.pyannote[232].end 528.08346875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 528.92721875
transcript.pyannote[233].end 528.97784375
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 528.97784375
transcript.pyannote[234].end 531.08721875
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 531.39096875
transcript.pyannote[235].end 532.30221875
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 532.84221875
transcript.pyannote[236].end 533.24721875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 533.33159375
transcript.pyannote[237].end 534.47909375
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 534.47909375
transcript.pyannote[238].end 536.68971875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 534.86721875
transcript.pyannote[239].end 535.74471875
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 537.60096875
transcript.pyannote[240].end 539.67659375
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 540.65534375
transcript.pyannote[241].end 541.02659375
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 541.16159375
transcript.pyannote[242].end 544.99221875
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 544.09784375
transcript.pyannote[243].end 546.42659375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 545.58284375
transcript.pyannote[244].end 546.40971875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 546.42659375
transcript.pyannote[245].end 547.11846875
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 547.11846875
transcript.pyannote[246].end 551.23596875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 547.13534375
transcript.pyannote[247].end 547.30409375
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 551.80971875
transcript.pyannote[248].end 557.80034375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 557.15909375
transcript.pyannote[249].end 559.30221875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 559.77471875
transcript.pyannote[250].end 565.12409375
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 561.68159375
transcript.pyannote[251].end 565.03971875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 565.24221875
transcript.pyannote[252].end 565.41096875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 566.15346875
transcript.pyannote[253].end 566.49096875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 566.72721875
transcript.pyannote[254].end 567.55409375
transcript.whisperx[0].start 2.381
transcript.whisperx[0].end 3.762
transcript.whisperx[0].text 以及財政部的吳市長委員好幾位長官好請問現在校園的毒品是不是更嚴重是不是剛剛的統計是有稍微增加那個是不是教育部剛剛有
transcript.whisperx[1].start 28.362
transcript.whisperx[1].end 50.101
transcript.whisperx[1].text 教育部長官 吳司長 要不要回答簡單的 因為我時間有限是不是比以前嚴重就今年的同期跟去年同期比較是略有的增加比較嚴重啦 你還可以看喔1到9月份 幾位長官聽好喔1到9月份 我們的 這裡面有一個喪屍煙彈
transcript.whisperx[2].start 56.328
transcript.whisperx[2].end 76.234
transcript.whisperx[2].text 就像這電子煙啊這個燈燈的或者是加熱煙的成長58.2倍它裡面就是大麻糬一坨米子這個是很嚴重的事情部長你知道嗎三級毒品這個你知道嗎
transcript.whisperx[3].start 77.762
transcript.whisperx[3].end 97.693
transcript.whisperx[3].text 一頭米吃還是哪一位法務部的長官要不要跟我們開明一下法務部的長官要不要講一下跟委員報告因為自從這個少年事件處理法這一個已經訂了之後其實法務部檢察官的角色已經淡化掉了所以如果是有這一個
transcript.whisperx[4].start 98.753
transcript.whisperx[4].end 110.759
transcript.whisperx[4].text 是用三四級的這個毒品就是那個青少年那個小朋友那一些是由那個警政署這邊來警政署警政署稍後會警政署要不要講一下警政署
transcript.whisperx[5].start 115.795
transcript.whisperx[5].end 128.646
transcript.whisperx[5].text 報告委員這部分因為校園是自主所以我們警政署針對這部分會跟邵府會來聯繫你都免議啊校園自主啊你都免管啊現在1到9月份飆漲58倍啊飆漲58倍之多啊這兩天的媒體揭露的我們來看喔
transcript.whisperx[6].start 138.982
transcript.whisperx[6].end 150.849
transcript.whisperx[6].text 請問請問來邱部長你補電話你比較大你知不知道旁邊啊7-11啦便利商店隨時都可以買到那個電子煙啊加熱煙隨時可以買到你知道嗎你知道嗎
transcript.whisperx[7].start 154.215
transcript.whisperx[7].end 179.424
transcript.whisperx[7].text 你都不知道勒便利商店可以買到誰是可以買到啦那現在是違法啊現在是違法請問加熱煙跟電子煙合法嗎合法嗎你講到現在是在目前為法嗎到現在是違法電子煙是違法加熱煙是要申請但是到現在為止你們一家都沒有准嘛對不對目前還沒有通過所以加熱煙跟電子煙問題是你到旁邊去我們有7-11你去買看看我等一下也看得笑了你去拿回去
transcript.whisperx[8].start 183.526
transcript.whisperx[8].end 184.289
transcript.whisperx[8].text 到處可見啊!到處可見!這個事情誰管?沒有人管你!
transcript.whisperx[9].start 195.786
transcript.whisperx[9].end 213.921
transcript.whisperx[9].text 對 其實這個青少年使用電子煙在實體店面的這個買的部分我們是嚴加查緝的但是我們確實在這個網路平台上面是我們下一個重的網路啊 網路啊 到處可見你Google一下都告訴你什麼不要人家輸 對不對
transcript.whisperx[10].start 217.424
transcript.whisperx[10].end 229.188
transcript.whisperx[10].text 我現在給你回顧一下啦請問 來來來 邱部長現在大麻有沒有批評犯案有沒有 大麻 馬尼灣有沒有看起來是有上升的趨勢 有啦我告訴你 你可以看喔主要 老實講最大的元兇就是大法官釋憲790號釋憲他釋憲之後 你可以看喔 這裡圖表釋憲之後
transcript.whisperx[11].start 246.693
transcript.whisperx[11].end 258.742
transcript.whisperx[11].text 這個串聲了使用毒品電子煙的人數也增加二級毒品受觀察熱切的也增加尿液檢驗大馬成長都暴增了老實講我們就看歷年來對大馬要放寬的事件
transcript.whisperx[12].start 269.758
transcript.whisperx[12].end 295.549
transcript.whisperx[12].text 我們做個review2016年當時的立委叫顧立雄就是這個國防部長顧立雄他就提出來啊接近要把這個毒品處罪化你知道嗎2016年結果2017年蔡英文總統提名四個會的委員兩位提出毒品處罪法2019年另外一個立委主張大麻合法化
transcript.whisperx[13].start 297.538
transcript.whisperx[13].end 324.739
transcript.whisperx[13].text 2020年就是我剛剛提到的大法官釋憲790號釋憲以後大馬勤捷輕微者減刑二分之一結果原來五年本來說2.5年就好了結果法務部一下子把它修法變成一年了那2020年今年民進黨美國的官選團安排大馬上院的一個參會的行程很清楚的看得到民進黨是
transcript.whisperx[14].start 326.62
transcript.whisperx[14].end 330.246
transcript.whisperx[14].text 這個黨是往大馬合法化的角度一直在走這個部長你有沒有接到這個知識啊
transcript.whisperx[15].start 334.949
transcript.whisperx[15].end 361.746
transcript.whisperx[15].text 沒有 我沒有接到任何質詢法務部有沒有法務部跟委員報告大馬不可能合法化大馬是我們強力查緝的這個毒品法務部絕對反對大馬合法化對不對反對 堅決反對你們為什麼當初沒有五年的大法官只是說剪一半就好了你們剪成一年為什麼你知道嗎為什麼因為那個時候我還沒在法務部你不在法務部
transcript.whisperx[16].start 364.068
transcript.whisperx[16].end 376.164
transcript.whisperx[16].text 這法務部就太體貼了就看到這個趨勢了看到這個趨勢幾位長官特別是邱部長你貴為部長你要為我們下一代著想剛才你們的同仁講到
transcript.whisperx[17].start 378.379
transcript.whisperx[17].end 383.723
transcript.whisperx[17].text 報告委員實體商店是絕對不可能買得到的其實就是您剛提到的網路平台
transcript.whisperx[18].start 396.99
transcript.whisperx[18].end 399.571
transcript.whisperx[18].text 你講電子煙加熱煙現在在自由貿易港區一堆啊一堆啊
transcript.whisperx[19].start 425.829
transcript.whisperx[19].end 433.115
transcript.whisperx[19].text 為什麼可以讓他進來?沒有,自由貿易港區的事不能進來對不對?那裡面能不能放麻煩?海陸應該不可以放自由貿易港區?
transcript.whisperx[20].start 440.306
transcript.whisperx[20].end 464.994
transcript.whisperx[20].text 該自由貿易港區設置條例就是不可以放違禁品的對不對那你都已經違法了為什麼可以放那裡如果你的說法說啊這個是轉運而已那毒品可以放那裡啊海洛因就放那裡啊為什麼不可以這個傢伙不能夠成立啊那我炮彈可不可以轉移放那裡也不行啊自由貿易港區的事情我們正在跟財政部這邊共同來協調財政部財政部那個那個署長啊署長啊財政部長官員們在
transcript.whisperx[21].start 470.429
transcript.whisperx[21].end 476.66
transcript.whisperx[21].text 這麽委員是吧來 產生部講一下你對於自由貿易港區的電子煙加熱源怎麽處理
transcript.whisperx[22].start 479.605
transcript.whisperx[22].end 506.716
transcript.whisperx[22].text 跟委員報告齁,財政部這邊自由貿易港區一設置自由貿易港區設置管理條例,它是15條,裡面有這樣一個規定15條規定很清楚嘛,違禁品不可以啊那現在這個違禁品的定義有沒有包括剛剛講的這個誰來定義,請問你誰來定義那這個部分是自由貿易港區的主管機關他們說是你們,你們說是委務部不是我們定義的嘛來,那個部長啊,今天你關最大,可不可以在這裡承諾嗯
transcript.whisperx[23].start 508.516
transcript.whisperx[23].end 521.984
transcript.whisperx[23].text 一個月裡面 把它整合一下 自由貿易港區一堆電子煙、加熱煙的裡面 把它處理可以嗎那這個部分海關跟那個衛福部跟那個交通部隊員 有在對這個我現在就請邱部長啦 你給我們承諾一下可以嗎
transcript.whisperx[24].start 525.421
transcript.whisperx[24].end 539.54
transcript.whisperx[24].text 一個月裡面把這事情解決掉你協調各部位把它解決然後對話公佈可以嗎對對對你就來當主事者因為你是衛福部管健康的嘛
transcript.whisperx[25].start 541.522
transcript.whisperx[25].end 563.239
transcript.whisperx[25].text 這個主管機關還是在交通部跟財政部?交通部沒有管這個啦!我都去問過了!財政部在財政部?交通部沒有啦!財政部也不管!這個健康分析就是衛福部啦!今天部長在這裡!部長承諾吧!一個月裡面你協調各大財政部、交通部一起把這個...我們一定會去協調!一個月?一個月內一定協調!好!一個月內把這個做出來!好不好!這個我們報告齁!謝謝!謝謝!謝謝賴委員!
gazette.lineno 1159
gazette.blocks[0][0] 賴委員士葆:(12時1分)謝謝主席。有請衛福部邱部長以及法務部郭司長、警政署吳警政監,以及教育部吳司長。
gazette.blocks[1][0] 邱部長泰源:委員好。
gazette.blocks[2][0] 賴委員士葆:幾位長官好。請問,現在校園毒品是不是更嚴重?是不是?哪一位可以回答?
gazette.blocks[3][0] 邱部長泰源:剛剛的統計是有稍微增加,是不是教育部剛剛有……
gazette.blocks[4][0] 賴委員士葆:教育部長官吳司長要不要回答?簡單的,因為我時間有限,是不是比以前嚴重?
gazette.blocks[5][0] 吳司長林輝:今年的同期跟去年同期比較是略微增加。
gazette.blocks[6][0] 賴委員士葆:比較嚴重啦!你還可以看喔,幾位長官聽好,1到9月份有一個喪屍煙彈,就是加在電子煙或是加熱菸的,成長58.2倍,裡面就是大麻及依托咪酯,這個是很嚴重的事情。部長,你知道嗎?三級毒品,這個你知道嗎?依托咪酯,還是哪一位?法務部的長官要不要跟我們comment一下?法務部的長官要不要講一下?
gazette.blocks[7][0] 郭司長永發:跟委員報告,自從少年事件處理法已經定了之後,其實法務部檢察官的角色已經淡化掉,所以如果施用三、四級毒品的青少年、小朋友那些是由警政署這邊來……
gazette.blocks[8][0] 賴委員士葆:警政署。
gazette.blocks[9][0] 郭司長永發:少輔會。
gazette.blocks[10][0] 賴委員士葆:警政署要不要講一下?
gazette.blocks[11][0] 吳警政監東文:報告委員,關於這個部分,因為校園自主,所以我們警政署針對這部分會跟少輔會聯繫。
gazette.blocks[12][0] 賴委員士葆:那就不用玩啦!校園自主,你們都不用管,1到9月份飆漲58倍之多,這是這兩天媒體揭露的。我們來看,邱部長,你是部長,比較大,你知不知道旁邊7-11便利商店隨時都可以買到電子煙,加熱菸也隨時可以買到,你知道嗎?你知道嗎?你都不知道欸!
gazette.blocks[13][0] 邱部長泰源:便利商店可以買到喔?
gazette.blocks[14][0] 賴委員士葆:隨時可以買到啦!
gazette.blocks[15][0] 邱部長泰源:現在是違法。
gazette.blocks[16][0] 賴委員士葆:現在是違法啊!請問加熱菸跟電子煙合法嗎?合法嗎?你講。
gazette.blocks[17][0] 邱部長泰源:目前還是違法。
gazette.blocks[18][0] 賴委員士葆:到現在電子煙是違法,加熱菸是要申請,但是到現在為止,你們一家都沒有准嘛!對不對?
gazette.blocks[19][0] 邱部長泰源:目前還沒有通過。
gazette.blocks[20][0] 賴委員士葆:所以加熱菸、電子煙,問題是你到旁邊7 -11去買看看,我常常看年輕人去拿貨啊!到處可見啊!這個事情誰管?沒有人管欸!沒有人管欸!
gazette.blocks[21][0] 邱部長泰源:我們今年就查了23萬次……
gazette.blocks[22][0] 賈副署長淑麗:對,其實青少年在實體店面買電子煙這部分,我們是嚴加查緝的,但確實網路平臺是我們下一個重點。
gazette.blocks[23][0] 賴委員士葆:現在網路到處可見,你google一下就會告訴你什麼地方有賣,大家都在吸,對不對?我現在給你回顧一下,請問,邱部長,現在大麻有沒有比以前氾濫?
gazette.blocks[24][0] 邱部長泰源:看起來是有上升的趨勢。
gazette.blocks[25][0] 賴委員士葆:有啦!我告訴你,你可以看,老實講最大的元凶就是大法官釋憲,釋字第790號,釋憲之後你可以看這個圖表,釋憲之後,「呼!」竄升了,使用毒品、電子煙的人數增加,二級毒品受觀察勒戒的也增加,尿液檢驗大麻成長暴增,都暴增了!
gazette.blocks[25][1] 老實講,我們去看歷年來對大麻要放寬的事件,我們做個review,2016年當時的立委叫顧立雄,就是現在的國防部長顧立雄,他就提出來要把毒品除罪化,你知道嗎?這是2016年的時候。結果2017年蔡英文總統提名司改會的委員,兩位提出毒品除罪化,2019年另外一個立委主張大麻合法化,2020年,就是剛提到的大法官釋憲,釋字第790號以後大麻情節輕微者減刑二分之一,原來是5年,本來說2.5年就好了,結果法務部一下子把它修法變成1年,2024(今)年民進黨美國觀選團安排一個大麻商人參訪行程,很清楚看得到民進黨這個黨是往大麻合法化角度一直在走。部長,你有沒有接到這個指示啊?
gazette.blocks[26][0] 邱部長泰源:沒有,我沒有接到任何指示。
gazette.blocks[27][0] 賴委員士葆:好。法務部有沒有?
gazette.blocks[28][0] 郭司長永發:跟委員報告,大麻不可能合法化,大麻是我們強力查緝的毒品。
gazette.blocks[29][0] 賴委員士葆:法務部絕對反對大麻合法化,對不對?
gazette.blocks[30][0] 郭司長永發:反對!堅決反對!
gazette.blocks[31][0] 賴委員士葆:當初明明是5年,大法官只是說減一半就好了,你們減成1年,為什麼?你知道嗎?為什麼?
gazette.blocks[32][0] 郭司長永發:因為那個時候我還不在法務部。
gazette.blocks[33][0] 賴委員士葆:你不在法務部。
gazette.blocks[34][0] 郭司長永發:是。
gazette.blocks[35][0] 賴委員士葆:法務部太體貼了,看到這個趨勢,幾位長官,特別是邱部長,你貴為部長,你要為我們下一代著想啊!剛才你們的同仁講到現在實體商店也可以買得到,網路更是如此,請問你網路怎麼處理?網路怎麼處理?請問你。
gazette.blocks[36][0] 賈副署長淑麗:報告委員,實體商店是絕對不可能買得到的。
gazette.blocks[37][0] 賴委員士葆:才奇怪!我就看到有人去pick up,怎麼沒有?
gazette.blocks[38][0] 賈副署長淑麗:其實就是您剛剛提到的網路平臺,他如果是網購……
gazette.blocks[39][0] 賴委員士葆:對啊!就去便利商店取貨啊!
gazette.blocks[40][0] 賈副署長淑麗:是網購的。
gazette.blocks[41][0] 邱部長泰源:網購取貨的。
gazette.blocks[42][0] 賈副署長淑麗:所以現在我們這一波的重點確實在網路平臺的稽查,到現在為止我們已經稽查了三萬多件次,也開始對網路平臺做開除跟開罰的動作。
gazette.blocks[43][0] 賴委員士葆:我再給你們一個數字,邱部長你去查一下好不好?今天在公開場合,你講電子煙、加熱菸,現在在自由貿易港區一堆啊!為什麼可以讓它進來?
gazette.blocks[44][0] 賈副署長淑麗:沒有,自由貿易港區的是不能進來,因為現在還沒有合法。
gazette.blocks[45][0] 賴委員士葆:那就奇怪了!那裡面能不能放嗎啡?海洛英可不可以放在自由貿易港區?自由貿易港區設置條例就是不可以放違禁品。
gazette.blocks[46][0] 賈副署長淑麗:對。
gazette.blocks[47][0] 賴委員士葆:對不對?都已經違法了,為什麼可以放那裡?如果照你的說法,這個是轉運而已,那毒品也可以放那裡啊!海洛英就放那裡啊!為什麼不可以?這個講法不能夠成立啊!那砲彈可不可以轉移放那裡?也不行啊!
gazette.blocks[48][0] 賈副署長淑麗:自由貿易港區的事情,我們正在跟財政部這邊共同協處。
gazette.blocks[49][0] 賴委員士葆:財政部長官來,財政部講一下對於自由貿易港區的電子煙、加熱菸怎麼處理?
gazette.blocks[50][0] 陳副署長世鋒:跟委員報告,財政部這邊對於自由貿易港區,依自由貿易港區設置管理條例第十五條有這樣規定……
gazette.blocks[51][0] 賴委員士葆:第十五條規定得很清楚嘛,違禁品不可以啊!
gazette.blocks[52][0] 陳副署長世鋒:但現在這個違禁品的定義有沒有包括剛剛講的加熱菸的部分……
gazette.blocks[53][0] 賴委員士葆:誰來定義?請問你誰來定義?
gazette.blocks[54][0] 陳副署長世鋒:這個部分是……
gazette.blocks[55][0] 賴委員士葆:誰來定義?
gazette.blocks[56][0] 陳副署長世鋒:由自由貿易港區的主管機關。
gazette.blocks[57][0] 賴委員士葆:他們說是你們,你們說是衛福部。
gazette.blocks[58][0] 陳副署長世鋒:不是我們定義的,海關是配合……
gazette.blocks[59][0] 賴委員士葆:部長,今天你官最大,可不可以在這裡承諾,一個月裡面把它整合一下,自由貿易港區一堆電子煙、加熱菸,把它處理可以嗎?
gazette.blocks[60][0] 陳副署長世鋒:這個部分海關跟衛福部、跟交通部有在對這個……
gazette.blocks[61][0] 賴委員士葆:我知道啦!我現在就請邱部長,你給我們承諾一下可以嗎?一個月裡面把這個事情解決掉。
gazette.blocks[62][0] 邱部長泰源:好,一個月……
gazette.blocks[63][0] 賈副署長淑麗:協調各單位。
gazette.blocks[64][0] 賴委員士葆:你協調各部會把它解決,然後對外公布,可以嗎?
gazette.blocks[65][0] 賈副署長淑麗:各單位研議相關的……
gazette.blocks[66][0] 賴委員士葆:對,你就來當主事者,因為你是衛福部管健康的嘛!對不對?
gazette.blocks[67][0] 賈副署長淑麗:這個主管機關還是在交通部跟財政部。
gazette.blocks[68][0] 賴委員士葆:交通部沒有管這個啦!我都去問過了。
gazette.blocks[69][0] 賈副署長淑麗:財政部……
gazette.blocks[70][0] 賴委員士葆:交通部沒有啊!財政部也不管這個,健康的東西就是衛福部啦!今天部長在這裡,部長承諾一個月裡面協調各部會──財政部、交通部,一起把這個解決掉。
gazette.blocks[71][0] 邱部長泰源:我們一定會去協調,但是……
gazette.blocks[72][0] 賴委員士葆:一個月。
gazette.blocks[73][0] 邱部長泰源:一個月內一定協調。
gazette.blocks[74][0] 賴委員士葆:好,一個月內……
gazette.blocks[75][0] 邱部長泰源:協調的狀況再跟委員報告。
gazette.blocks[76][0] 賴委員士葆:好不好?再跟我報告。謝謝。
gazette.blocks[77][0] 邱部長泰源:謝謝。
gazette.blocks[78][0] 主席:謝謝賴委員,謝謝部長、司長。
gazette.blocks[78][1] 繼續我們請涂權吉委員質詢。
gazette.agenda.page_end 104
gazette.agenda.meet_id 委員會-11-2-26-5
gazette.agenda.speakers[0] 蘇清泉
gazette.agenda.speakers[1] 陳昭姿
gazette.agenda.speakers[2] 王育敏
gazette.agenda.speakers[3] 林月琴
gazette.agenda.speakers[4] 陳菁徽
gazette.agenda.speakers[5] 邱鎮軍
gazette.agenda.speakers[6] 廖偉翔
gazette.agenda.speakers[7] 王正旭
gazette.agenda.speakers[8] 劉建國
gazette.agenda.speakers[9] 羅廷瑋
gazette.agenda.speakers[10] 林淑芬
gazette.agenda.speakers[11] 羅智強
gazette.agenda.speakers[12] 楊瓊瓔
gazette.agenda.speakers[13] 賴士葆
gazette.agenda.speakers[14] 涂權吉
gazette.agenda.speakers[15] 李坤城
gazette.agenda.speakers[16] 洪孟楷
gazette.agenda.speakers[17] 林國成
gazette.agenda.speakers[18] 張雅琳
gazette.agenda.speakers[19] 陳培瑜
gazette.agenda.speakers[20] 郭昱晴
gazette.agenda.speakers[21] 徐富癸
gazette.agenda.speakers[22] 楊曜
gazette.agenda.speakers[23] 葉元之
gazette.agenda.speakers[24] 黃秀芳
gazette.agenda.speakers[25] 陳瑩
gazette.agenda.speakers[26] 盧縣一
gazette.agenda.page_start 1
gazette.agenda.meetingDate[0] 2024-10-23
gazette.agenda.gazette_id 1138901
gazette.agenda.agenda_lcidc_ids[0] 1138901_00002
gazette.agenda.meet_name 立法院第11屆第2會期社會福利及衛生環境委員會第5次全體委員會議紀錄
gazette.agenda.content 邀請衛生福利部部長、法務部、內政部、財政部、教育部列席就「有關新興煙毒品防制及強化虐 童防治作為」進行專題報告,並備質詢
gazette.agenda.agenda_id 1138901_00001
IVOD_ID 155980
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/155980
日期 2024-10-23
會議資料.會議代碼 委員會-11-2-26-5
會議資料.屆 11
會議資料.會期 2
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第5次全體委員會議
影片種類 Clip
開始時間 2024-10-23T12:01:32+08:00
結束時間 2024-10-23T12:10:58+08:00
支援功能[0] ai-transcript
支援功能[1] gazette