IVOD_ID |
149132 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/149132 |
日期 |
2024-02-23 |
會議資料.會議代碼 |
院會-11-1-2 |
會議資料.會議代碼:str |
第11屆第1會期第2次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
2 |
會議資料.種類 |
院會 |
會議資料.標題 |
立法院第11屆第1會期第2次會議 |
影片種類 |
Clip |
開始時間 |
2024-02-23T11:46:52+08:00 |
結束時間 |
2024-02-23T12:02:57+08:00 |
影片長度 |
00:16:05 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/61d28f3f53a2feb64cf030d5fc7afcf8b347916f9bc661eaf8ba9b0039caa7a6d5c0bb4227e03c4a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
廖偉翔 |
委員發言時間 |
11:46:52 - 12:02:57 |
會議時間 |
2024-02-23T09:00:00+08:00 |
會議名稱 |
第11屆第1會期第2次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。
二、2月23日上午9時至10時為國是論壇時間。
三、2月27日下午1時50分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
17.26034375 |
transcript.pyannote[0].end |
18.03659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
17.37846875 |
transcript.pyannote[1].end |
17.91846875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
18.12096875 |
transcript.pyannote[2].end |
23.31846875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
29.24159375 |
transcript.pyannote[3].end |
32.36346875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
32.86971875 |
transcript.pyannote[4].end |
33.54471875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
33.54471875 |
transcript.pyannote[5].end |
33.56159375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
35.40096875 |
transcript.pyannote[6].end |
39.48471875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
39.85596875 |
transcript.pyannote[7].end |
40.98659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
41.29034375 |
transcript.pyannote[8].end |
44.90159375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
45.17159375 |
transcript.pyannote[9].end |
47.55096875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
47.93909375 |
transcript.pyannote[10].end |
48.96846875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
49.40721875 |
transcript.pyannote[11].end |
54.97596875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
54.97596875 |
transcript.pyannote[12].end |
55.83659375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
55.83659375 |
transcript.pyannote[13].end |
55.90409375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
56.29221875 |
transcript.pyannote[14].end |
56.30909375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
56.30909375 |
transcript.pyannote[15].end |
71.39534375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
63.76784375 |
transcript.pyannote[16].end |
64.59471875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
68.39159375 |
transcript.pyannote[17].end |
69.30284375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
69.74159375 |
transcript.pyannote[18].end |
71.02409375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
71.83409375 |
transcript.pyannote[19].end |
72.91409375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
72.96471875 |
transcript.pyannote[20].end |
88.96221875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
89.26596875 |
transcript.pyannote[21].end |
90.26159375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
90.63284375 |
transcript.pyannote[22].end |
99.13784375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
99.55971875 |
transcript.pyannote[23].end |
100.21784375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
100.42034375 |
transcript.pyannote[24].end |
103.91346875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
104.99346875 |
transcript.pyannote[25].end |
109.65096875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
109.90409375 |
transcript.pyannote[26].end |
113.29596875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
112.53659375 |
transcript.pyannote[27].end |
113.31284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
113.31284375 |
transcript.pyannote[28].end |
113.32971875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
113.32971875 |
transcript.pyannote[29].end |
113.86971875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
114.19034375 |
transcript.pyannote[30].end |
122.44221875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
122.44221875 |
transcript.pyannote[31].end |
136.22909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
135.26721875 |
transcript.pyannote[32].end |
135.28409375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
136.53284375 |
transcript.pyannote[33].end |
137.29221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
137.64659375 |
transcript.pyannote[34].end |
155.97284375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
155.97284375 |
transcript.pyannote[35].end |
156.02346875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
156.02346875 |
transcript.pyannote[36].end |
156.54659375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
156.54659375 |
transcript.pyannote[37].end |
156.56346875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
156.56346875 |
transcript.pyannote[38].end |
156.98534375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
156.98534375 |
transcript.pyannote[39].end |
157.03596875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
157.03596875 |
transcript.pyannote[40].end |
157.17096875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
157.17096875 |
transcript.pyannote[41].end |
157.35659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
157.35659375 |
transcript.pyannote[42].end |
157.42409375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
157.42409375 |
transcript.pyannote[43].end |
157.45784375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
157.45784375 |
transcript.pyannote[44].end |
157.54221875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
157.54221875 |
transcript.pyannote[45].end |
157.69409375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
157.69409375 |
transcript.pyannote[46].end |
162.25034375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
158.18346875 |
transcript.pyannote[47].end |
158.97659375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
161.50784375 |
transcript.pyannote[48].end |
162.23346875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
162.25034375 |
transcript.pyannote[49].end |
162.33471875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
162.65534375 |
transcript.pyannote[50].end |
195.96659375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
180.67784375 |
transcript.pyannote[51].end |
185.87534375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
190.87034375 |
transcript.pyannote[52].end |
192.92909375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
193.67159375 |
transcript.pyannote[53].end |
193.78971875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
193.89096875 |
transcript.pyannote[54].end |
194.70096875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
195.37596875 |
transcript.pyannote[55].end |
203.96534375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
202.02471875 |
transcript.pyannote[56].end |
203.59409375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
203.96534375 |
transcript.pyannote[57].end |
204.03284375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
204.03284375 |
transcript.pyannote[58].end |
204.97784375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
204.97784375 |
transcript.pyannote[59].end |
205.02846875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
205.02846875 |
transcript.pyannote[60].end |
212.35221875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
210.47909375 |
transcript.pyannote[61].end |
211.76159375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
212.82471875 |
transcript.pyannote[62].end |
215.79471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
216.13221875 |
transcript.pyannote[63].end |
229.21034375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
229.53096875 |
transcript.pyannote[64].end |
230.45909375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
230.76284375 |
transcript.pyannote[65].end |
239.21721875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
239.57159375 |
transcript.pyannote[66].end |
243.85784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
244.63409375 |
transcript.pyannote[67].end |
268.51221875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
262.06596875 |
transcript.pyannote[68].end |
265.22159375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
268.93409375 |
transcript.pyannote[69].end |
295.20846875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
293.33534375 |
transcript.pyannote[70].end |
305.16471875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
301.55346875 |
transcript.pyannote[71].end |
313.68659375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
311.66159375 |
transcript.pyannote[72].end |
312.20159375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
313.99034375 |
transcript.pyannote[73].end |
320.97659375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
314.80034375 |
transcript.pyannote[74].end |
326.35971875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
323.05221875 |
transcript.pyannote[75].end |
324.38534375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
326.69721875 |
transcript.pyannote[76].end |
335.33721875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
335.57346875 |
transcript.pyannote[77].end |
340.68659375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
340.97346875 |
transcript.pyannote[78].end |
347.85846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
346.84596875 |
transcript.pyannote[79].end |
347.53784375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
347.85846875 |
transcript.pyannote[80].end |
348.36471875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
348.76971875 |
transcript.pyannote[81].end |
348.78659375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
348.78659375 |
transcript.pyannote[82].end |
348.85409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
348.85409375 |
transcript.pyannote[83].end |
349.96784375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
349.96784375 |
transcript.pyannote[84].end |
350.01846875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
350.89596875 |
transcript.pyannote[85].end |
359.02971875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
359.02971875 |
transcript.pyannote[86].end |
365.93159375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
359.82284375 |
transcript.pyannote[87].end |
361.83096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
366.42096875 |
transcript.pyannote[88].end |
378.50346875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
370.77471875 |
transcript.pyannote[89].end |
371.34846875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
373.77846875 |
transcript.pyannote[90].end |
374.48721875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
375.09471875 |
transcript.pyannote[91].end |
375.93846875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
378.50346875 |
transcript.pyannote[92].end |
378.53721875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
378.67221875 |
transcript.pyannote[93].end |
398.01096875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
398.39909375 |
transcript.pyannote[94].end |
402.12846875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
401.04846875 |
transcript.pyannote[95].end |
412.45596875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
412.45596875 |
transcript.pyannote[96].end |
415.44284375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
412.59096875 |
transcript.pyannote[97].end |
413.36721875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
415.81409375 |
transcript.pyannote[98].end |
427.12034375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
421.23096875 |
transcript.pyannote[99].end |
422.80034375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
423.28971875 |
transcript.pyannote[100].end |
429.60096875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
429.60096875 |
transcript.pyannote[101].end |
442.62846875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
429.83721875 |
transcript.pyannote[102].end |
430.81596875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
432.18284375 |
transcript.pyannote[103].end |
437.19471875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
438.83159375 |
transcript.pyannote[104].end |
447.89346875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
443.16846875 |
transcript.pyannote[105].end |
443.47221875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
445.24409375 |
transcript.pyannote[106].end |
453.41159375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
453.66471875 |
transcript.pyannote[107].end |
460.31346875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
460.68471875 |
transcript.pyannote[108].end |
476.24346875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
476.61471875 |
transcript.pyannote[109].end |
483.14534375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
476.66534375 |
transcript.pyannote[110].end |
478.28534375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
480.34409375 |
transcript.pyannote[111].end |
482.87534375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
483.14534375 |
transcript.pyannote[112].end |
483.21284375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
483.21284375 |
transcript.pyannote[113].end |
483.24659375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
483.24659375 |
transcript.pyannote[114].end |
483.48284375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
483.48284375 |
transcript.pyannote[115].end |
483.88784375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
483.88784375 |
transcript.pyannote[116].end |
484.00596875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
484.32659375 |
transcript.pyannote[117].end |
487.11096875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
487.49909375 |
transcript.pyannote[118].end |
499.24409375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
490.90784375 |
transcript.pyannote[119].end |
493.33784375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
495.27846875 |
transcript.pyannote[120].end |
509.36909375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
509.74034375 |
transcript.pyannote[121].end |
518.48159375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
512.55846875 |
transcript.pyannote[122].end |
513.19971875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
519.25784375 |
transcript.pyannote[123].end |
529.33221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
529.39971875 |
transcript.pyannote[124].end |
536.75721875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
537.36471875 |
transcript.pyannote[125].end |
539.01846875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
537.66846875 |
transcript.pyannote[126].end |
549.56534375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
547.97909375 |
transcript.pyannote[127].end |
557.80034375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
550.25721875 |
transcript.pyannote[128].end |
551.96159375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
553.49721875 |
transcript.pyannote[129].end |
554.27346875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
554.30721875 |
transcript.pyannote[130].end |
554.44221875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
554.57721875 |
transcript.pyannote[131].end |
556.19721875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
557.34471875 |
transcript.pyannote[132].end |
572.98784375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
563.36909375 |
transcript.pyannote[133].end |
564.76971875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
573.37596875 |
transcript.pyannote[134].end |
575.83971875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
574.15221875 |
transcript.pyannote[135].end |
583.61909375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
578.13471875 |
transcript.pyannote[136].end |
578.89409375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
581.54346875 |
transcript.pyannote[137].end |
587.06159375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
583.99034375 |
transcript.pyannote[138].end |
584.00721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
587.39909375 |
transcript.pyannote[139].end |
589.00221875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
587.43284375 |
transcript.pyannote[140].end |
588.63096875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
589.42409375 |
transcript.pyannote[141].end |
597.55784375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
592.24221875 |
transcript.pyannote[142].end |
592.71471875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
597.99659375 |
transcript.pyannote[143].end |
633.78846875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
614.02784375 |
transcript.pyannote[144].end |
617.60534375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
625.24971875 |
transcript.pyannote[145].end |
627.37596875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
627.39284375 |
transcript.pyannote[146].end |
627.56159375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
631.30784375 |
transcript.pyannote[147].end |
633.55221875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
634.63221875 |
transcript.pyannote[148].end |
636.82596875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
637.29846875 |
transcript.pyannote[149].end |
643.98096875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
644.55471875 |
transcript.pyannote[150].end |
661.51409375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
648.97596875 |
transcript.pyannote[151].end |
650.76471875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
657.32909375 |
transcript.pyannote[152].end |
663.77534375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
662.05409375 |
transcript.pyannote[153].end |
662.94846875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
663.26909375 |
transcript.pyannote[154].end |
663.40409375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
663.82596875 |
transcript.pyannote[155].end |
666.44159375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
666.57659375 |
transcript.pyannote[156].end |
672.61784375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
672.90471875 |
transcript.pyannote[157].end |
683.92409375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
675.85784375 |
transcript.pyannote[158].end |
679.41846875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
680.58284375 |
transcript.pyannote[159].end |
684.02534375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
685.64534375 |
transcript.pyannote[160].end |
690.23534375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
687.77159375 |
transcript.pyannote[161].end |
689.71221875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
690.23534375 |
transcript.pyannote[162].end |
690.33659375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
690.33659375 |
transcript.pyannote[163].end |
690.80909375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
690.80909375 |
transcript.pyannote[164].end |
693.89721875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
693.32346875 |
transcript.pyannote[165].end |
695.28096875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
695.83784375 |
transcript.pyannote[166].end |
697.79534375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
695.88846875 |
transcript.pyannote[167].end |
700.76534375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
699.46596875 |
transcript.pyannote[168].end |
700.73159375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
700.76534375 |
transcript.pyannote[169].end |
700.84971875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
701.30534375 |
transcript.pyannote[170].end |
701.35596875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
701.35596875 |
transcript.pyannote[171].end |
705.25409375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
703.33034375 |
transcript.pyannote[172].end |
703.92096875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
705.69284375 |
transcript.pyannote[173].end |
707.29596875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
707.68409375 |
transcript.pyannote[174].end |
720.96471875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
713.38784375 |
transcript.pyannote[175].end |
716.94846875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
720.96471875 |
transcript.pyannote[176].end |
725.82471875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
724.74471875 |
transcript.pyannote[177].end |
729.21659375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
727.20846875 |
transcript.pyannote[178].end |
728.76096875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
729.58784375 |
transcript.pyannote[179].end |
730.85346875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
731.78159375 |
transcript.pyannote[180].end |
734.24534375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
734.43096875 |
transcript.pyannote[181].end |
747.42471875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
746.96909375 |
transcript.pyannote[182].end |
748.40346875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
748.40346875 |
transcript.pyannote[183].end |
748.97721875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
748.97721875 |
transcript.pyannote[184].end |
757.24596875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
749.02784375 |
transcript.pyannote[185].end |
749.34846875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
756.35159375 |
transcript.pyannote[186].end |
760.13159375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
757.46534375 |
transcript.pyannote[187].end |
761.32971875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
761.32971875 |
transcript.pyannote[188].end |
768.87284375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
764.16471875 |
transcript.pyannote[189].end |
772.87221875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
770.59409375 |
transcript.pyannote[190].end |
779.04846875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
774.28971875 |
transcript.pyannote[191].end |
774.52596875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
775.36971875 |
transcript.pyannote[192].end |
778.74471875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
779.04846875 |
transcript.pyannote[193].end |
789.03846875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
789.03846875 |
transcript.pyannote[194].end |
789.15659375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
789.15659375 |
transcript.pyannote[195].end |
789.17346875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
789.17346875 |
transcript.pyannote[196].end |
797.81346875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
789.19034375 |
transcript.pyannote[197].end |
790.32096875 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
798.28596875 |
transcript.pyannote[198].end |
808.93409375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
809.59221875 |
transcript.pyannote[199].end |
817.75971875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
818.23221875 |
transcript.pyannote[200].end |
831.47909375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
828.67784375 |
transcript.pyannote[201].end |
828.96471875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
829.82534375 |
transcript.pyannote[202].end |
835.76534375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
832.84596875 |
transcript.pyannote[203].end |
851.89784375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
846.17721875 |
transcript.pyannote[204].end |
848.65784375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
850.63221875 |
transcript.pyannote[205].end |
865.11096875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
857.26409375 |
transcript.pyannote[206].end |
859.74471875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
860.82471875 |
transcript.pyannote[207].end |
862.83284375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
863.22096875 |
transcript.pyannote[208].end |
863.42346875 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
865.53284375 |
transcript.pyannote[209].end |
866.19096875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
865.63409375 |
transcript.pyannote[210].end |
873.78471875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
867.43971875 |
transcript.pyannote[211].end |
869.83596875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
871.52346875 |
transcript.pyannote[212].end |
875.03346875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
875.03346875 |
transcript.pyannote[213].end |
887.14971875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
875.50596875 |
transcript.pyannote[214].end |
877.71659375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
879.42096875 |
transcript.pyannote[215].end |
880.16346875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
887.50409375 |
transcript.pyannote[216].end |
902.75909375 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
888.80346875 |
transcript.pyannote[217].end |
893.44409375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
894.87846875 |
transcript.pyannote[218].end |
896.43096875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
899.14784375 |
transcript.pyannote[219].end |
921.03471875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
913.06971875 |
transcript.pyannote[220].end |
928.54409375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
921.05159375 |
transcript.pyannote[221].end |
927.90284375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
929.16846875 |
transcript.pyannote[222].end |
934.02846875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
962.96909375 |
transcript.pyannote[223].end |
963.96471875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
963.96471875 |
transcript.pyannote[224].end |
965.97284375 |
transcript.whisperx[0].start |
17.398 |
transcript.whisperx[0].end |
30.947 |
transcript.whisperx[0].text |
報告院長,請行政院長陳建仁院長請行政院陳院長備詢。廖委員好,首先恭喜你當選立委。謝謝院長。 |
transcript.whisperx[1].start |
35.455 |
transcript.whisperx[1].end |
55.305 |
transcript.whisperx[1].text |
院長上週四2月15號你在新春團拜的時候說你當這個你被問到今年祈禱是什麼時候你說你要自我檢討因為過去一年你做錯了很多事情那想要請教有沒有包括2月1號當天台中驗出含禁藥肉品後中央的處置 |
transcript.whisperx[2].start |
56.463 |
transcript.whisperx[2].end |
71.175 |
transcript.whisperx[2].text |
當然沒有,我們天主教徒每一天早上我啦,每天去參加彌撒的時候,我們都會跟天主來祈禱。那我們做錯很多事,譬如說我是不是對人誠懇啊,對朋友交代的事有沒有做得很好,不包括這件事。 |
transcript.whisperx[3].start |
71.895 |
transcript.whisperx[3].end |
96.045 |
transcript.whisperx[3].text |
是,但是在2月7號的時候石耀署也復驗出西部特羅那我們薛瑞元部長和吳秀梅署長也說排除實驗室問題結果到了15號後為什麼卻又開始帶風向說要查台中的實驗室委員我可以,好這個實驗室的問題是實驗的標準作業流程是沒有問題因為兩邊都檢測出來0.002ppm但是 |
transcript.whisperx[4].start |
100.267 |
transcript.whisperx[4].end |
101.008 |
transcript.whisperx[4].text |
剛才洪森漢委員在做這種消去法的情形 |
transcript.whisperx[5].start |
126.96 |
transcript.whisperx[5].end |
127.12 |
transcript.whisperx[5].text |
當然阿! |
transcript.whisperx[6].start |
156.756 |
transcript.whisperx[6].end |
176.517 |
transcript.whisperx[6].text |
這就是我們剛才為什麼講的所以你都排除所有可能性你認為唯一的可能就是實驗室誤來對嗎?沒有即使在所有的操作上臺中市政府有件事情沒有做好這件事情就是他18號來採檢以後他檢出來第一次檢出來如果有問題應該要給臺堂15天的生父檢驗的期間 |
transcript.whisperx[7].start |
177.438 |
transcript.whisperx[7].end |
178.619 |
transcript.whisperx[7].text |
﹚廖偉翔﹚廖偉翔﹚ |
transcript.whisperx[8].start |
207.461 |
transcript.whisperx[8].end |
228.699 |
transcript.whisperx[8].text |
那我想請問你覺得過程中是哪裡有問題?你覺得是不是需要專家學者來判斷嗎?但是依照台中市政府的講法他們在這個標準品的混充的時候跟這個豬肉也完全是分開驗的那如果實驗室有汙染的話他從中間查驗了40包肉為什麼只有一包肉有驗出西部特羅這是第一個點 |
transcript.whisperx[9].start |
229.6 |
transcript.whisperx[9].end |
243.717 |
transcript.whisperx[9].text |
好第二個點中央剛剛講到中央明明知道我們地方研究室配置的標準品的地點空間人員跟豬肉被檢驗的地點空間人員都是不同的地方而且都是完備證明也是依照你們的標準去操作的 |
transcript.whisperx[10].start |
244.973 |
transcript.whisperx[10].end |
264.159 |
transcript.whisperx[10].text |
第三點,中央官員跟中央的專家也都參加了復驗。中央也另外派人審查過台中市的實驗室的,前面也都先確定沒有問題的。卻又推翻說沒有問題的認定,先設建再劃板,浪費行政資源開專家會議。請問你有新的事證證明說他們的這個實驗室有污染嗎?你剛剛是不是說沒辦法? |
transcript.whisperx[11].start |
269.353 |
transcript.whisperx[11].end |
288.769 |
transcript.whisperx[11].text |
現在在整個實驗室18號到後來2月2號公布這個期間已經過了兩個禮拜的時間而且也沒有什麼樣的攝影的機制在所以我們真的沒有辦法去看那段時間有沒有錯誤但是最嚴重的事情就是在這18天裡面沒有做第二個檢體的檢驗而且沒有讓 |
transcript.whisperx[12].start |
293.372 |
transcript.whisperx[12].end |
313.345 |
transcript.whisperx[12].text |
我想問一下院長,食藥署跟中央是不是可以跨部會整合去抽驗其他同批次的豬肉?但是,我們已經驗了,結果都沒有驗出來。而且更重要的,他從來沒有請求中央來說來協助他,沒有啊,所以就關布了啊。 |
transcript.whisperx[13].start |
314.906 |
transcript.whisperx[13].end |
324.695 |
transcript.whisperx[13].text |
所以這真的公佈合理嗎?15天的時間都沒有給台常人。您稍等我一下,您說的同批豬肉,對,您先等我一下。你們一直在講同批豬肉,查到的。可是就我們這裡溯源編碼確認,總共這批豬肉瘦出了372公斤。 |
transcript.whisperx[14].start |
335.606 |
transcript.whisperx[14].end |
335.846 |
transcript.whisperx[14].text |
我跟妳講妳要問齁 |
transcript.whisperx[15].start |
350.982 |
transcript.whisperx[15].end |
361.708 |
transcript.whisperx[15].text |
如果一隻豬吃了瘦肉一群豬吃了瘦肉精這個瘦肉精只會跑到一隻豬的那一塊豬肉才奇怪那我想請問這3%裡面有一包被驗出來了你確保其他97%完全沒有問題當然是喔 |
transcript.whisperx[16].start |
366.671 |
transcript.whisperx[16].end |
393.024 |
transcript.whisperx[16].text |
所以你覺得你這3%裡面有一包驗出來你97%就完全的沒問題我跟委員說明一下齁就是豬的一個飼養是統進統出的你講的食安是科學這就是科學你講的是政治齁所以沒有我講的不是政治我跟你講的是你們剛剛講的是實驗室可是從中間這6個月的倉儲的問題還有這3%的問題其他的同批豬肉你也沒辦法全部找回來內臟也沒辦法全部找回來的情況之下 |
transcript.whisperx[17].start |
393.444 |
transcript.whisperx[17].end |
412.9 |
transcript.whisperx[17].text |
你也不能夠完全推斷說就是實業室有問題你沒有不講科學嘛這裡沒有不講科學我剛剛講出的疑點都是現在的問題我都講過同一批豬同樣的飼料去飼養然後同一個除災場去除災如果要有的話絕對不會只有一個檢體上是有的你這個母體只有3%喔 |
transcript.whisperx[18].start |
415.862 |
transcript.whisperx[18].end |
425.214 |
transcript.whisperx[18].text |
你還有剩下97%你追蹤不回來,包含內臟你也追蹤不回來。剛剛陳昭之委員問的,你內臟也追蹤不到嘛。那內臟是不是這個時候已經是溫度會更高的地方?這也是剝削吧。現在的問題不是你反對。 |
transcript.whisperx[19].start |
431.121 |
transcript.whisperx[19].end |
433.162 |
transcript.whisperx[19].text |
二月22日衛福部跟農業部又分別召開專家會議。 |
transcript.whisperx[20].start |
453.875 |
transcript.whisperx[20].end |
475.337 |
transcript.whisperx[20].text |
結果當下沒有馬上把這個會議內容公開出來然後反而是要全部統籌起來你們再統一公布這樣的做法以前也沒有這樣以前也會公開出來我想要請問這樣子透明公開很難嗎而且專家會議的紀錄拖延同批的豬肉早就被吃下肚也查不了現在用這種方式去混淆焦點這不就是帶風向嗎 |
transcript.whisperx[21].start |
477.378 |
transcript.whisperx[21].end |
497.448 |
transcript.whisperx[21].text |
所以我認為這件事情在處理的過程中你們在過去一年的措施我認為應該是包含這件事情我覺得你的稿子講的錯了啦這一個所有的專家委員會議就是我們大家一起來好好討論討論完了以後有一定的時間以後我們會對外公布嘛所以你這樣講是不對的啦接下來這是一個八年食安的專案報告 |
transcript.whisperx[22].start |
502.93 |
transcript.whisperx[22].end |
516.6 |
transcript.whisperx[22].text |
所以早上院長你親口向這個立法院的報告說你說大幅增加查驗我認為你是在說謊因為根據我們跟農業部調的株枝已行受體數的瘦肉精監測結果的歷年統計 |
transcript.whisperx[23].start |
519.813 |
transcript.whisperx[23].end |
535.691 |
transcript.whisperx[23].text |
檢驗次數在103年的時候還有14000多件,結果民進黨執政8年第一年105年掉到12000多件。看看過去10年的變化,到了這個112年的時候只剩下5900多件,大幅縮小了57%。 |
transcript.whisperx[24].start |
537.541 |
transcript.whisperx[24].end |
548.385 |
transcript.whisperx[24].text |
那是因為在那一段時間,很多的樣本是有瘦肉精,所以才要做檢驗。那當我們檢驗到後來沒有的時候,當然不需要那麼大量。 |
transcript.whisperx[25].start |
554.367 |
transcript.whisperx[25].end |
572.734 |
transcript.whisperx[25].text |
數據會說話。你早上說的是你大幅增加了檢驗的能量。這個情形是對瘦肉精來講。我講的是對整體的情形來做檢驗的。再來我要問一下。你這個東西在很危險的情況下當然要大量檢驗。就是因為在103到106有很多很多的瘦肉精的使用嘛。 |
transcript.whisperx[26].start |
574.435 |
transcript.whisperx[26].end |
586.821 |
transcript.whisperx[26].text |
所以你後面減少你就是推斷都沒有了才會減少可是你早上明明說的事情叫做你增加了你是不是自我打臉所有的檢驗項目是增加了你現在只找收入金這一項是不公平的啦 |
transcript.whisperx[27].start |
587.923 |
transcript.whisperx[27].end |
611.701 |
transcript.whisperx[27].text |
我再問你們一個我們看中央政府到底重不重視食安就從食品安全業務的中央最高編組行政院的食安會報的設置來看而這個會報是不是每三個月就應該開一次會不包含臨時會所以換句話說每一年至少要開四次會議請問你們的行政院的食安會報有沒有按照規定定期開會有啊我在這的時候都是定期開會啊 |
transcript.whisperx[28].start |
612.481 |
transcript.whisperx[28].end |
633.551 |
transcript.whisperx[28].text |
有,那你就是騙人囉,因為我去查到資料,這兩年2022年到2023年都沒有準時開會,這兩年每一年尤其2022年包含我們衛福部長應該升為時安衛報的執行長,在2022年跟2023年每年都只參加一次,另外每一年還另外缺席兩次。 |
transcript.whisperx[29].start |
634.639 |
transcript.whisperx[29].end |
658.229 |
transcript.whisperx[29].text |
在沒有準時開會的前提下過去8年也只開了24次會但是你知道衛福部長身為食安會的執行長當中缺席了幾次嗎?他有些時候有重要的任務他會不來這是我們可以了解但是你不要把COVID-19的時間的狀況拿來講你現在在疫情很盛行的情況下大家忙著疫情的時候但是這8年來我們的時間做得還是很好啊沒有開會還做得很好啊 |
transcript.whisperx[30].start |
663.951 |
transcript.whisperx[30].end |
680.622 |
transcript.whisperx[30].text |
所以8年:好你說做得很好我等一下再講8年來有一半的食安匯報我們的食安匯報執行長也就是衛福部長都缺席有一半而且我還抓包你們不止一年行政院食安匯報的次數還會灌不水你們2017年跟2019年開一次會變成兩次會議 |
transcript.whisperx[31].start |
685.677 |
transcript.whisperx[31].end |
696.493 |
transcript.whisperx[31].text |
我想要請問,你們2017年2019年開支會斷水變成兩次,是不是?當時防疫比較重要,比食安更重要2017年2019年防疫2022年2023年防疫你現在在講的那個時間,很多時間 |
transcript.whisperx[32].start |
701.38 |
transcript.whisperx[32].end |
701.82 |
transcript.whisperx[32].text |
對阿2019到2022年 |
transcript.whisperx[33].start |
731.821 |
transcript.whisperx[33].end |
755.863 |
transcript.whisperx[33].text |
就我們的部長已經就任以後,上一次開會時安會報是2023年3月27日,也就是說到現在已經有333天沒有參加過時安會報了。我想請問院長,如果你很重視時安,你們會是這樣子對待時安會報的嗎?時安如果按照時安會報就能夠解決,那我們不要跨部會的努力啦,也不要跟地方政府合作啦。 |
transcript.whisperx[34].start |
756.223 |
transcript.whisperx[34].end |
768.308 |
transcript.whisperx[34].text |
不是這樣,時安會報只是綜合性的來報告而已啦。綜合性報告不就是掌握進度會跨部會追蹤嗎?因為用這個來推進難怪。那我想問院長,平常當然就應該努力,可是參加時安會報難道不是你們行政院最高編組的會報嗎? |
transcript.whisperx[35].start |
779.113 |
transcript.whisperx[35].end |
808.593 |
transcript.whisperx[35].text |
不能夠用食安匯報就來認為這個食安我們有沒有重視。你想想看這個台中市發布消息以後每一天都在做這個瘦肉精的重視。那難怪我想要告訴院長所以因為你們這種態度所以2023年你們發生非常多的重大的食安事件冷凍藍莓在邊境被稽查出有A肝病毒但卻發生了14000多包流入市面17000多公斤被賣出或食用 |
transcript.whisperx[36].start |
809.613 |
transcript.whisperx[36].end |
830.887 |
transcript.whisperx[36].text |
同樣在2023年的上半年的邊境稽查就至少超過50多批的日本草莓、智利櫻桃被驗出農藥、禁藥也不必說逐批的這個流入市面的追查進度喔至今讓大家都不明白這件事情你覺得民眾會覺得你們真的很重視食安嗎?當然 2023年的1月到2月的時候 |
transcript.whisperx[37].start |
831.687 |
transcript.whisperx[37].end |
834.368 |
transcript.whisperx[37].text |
所以中央跟地方為什麼要合作來做加強檢驗 |
transcript.whisperx[38].start |
856.62 |
transcript.whisperx[38].end |
871.589 |
transcript.whisperx[38].text |
這都是加強檢驗的結果。這是加強檢驗的結果。如果不做檢驗,那就會進來大家都不知道。所以你是你們還是進去的啊。你說你檢驗出來,但是還有一萬四千多,一萬四千多包流入市面呢?已經被民眾吃下肚了不是嗎? |
transcript.whisperx[39].start |
879.133 |
transcript.whisperx[39].end |
896.447 |
transcript.whisperx[39].text |
所以我們再來講上一年度最大的事件也就是這個進口雞蛋混沖國產雞蛋標示成國產蛋液。業旦的事情所以同樣的事情因為你們戰後職守沒有開食安會報當初每個部會各說各話互相打臉不是嗎? |
transcript.whisperx[40].start |
897.228 |
transcript.whisperx[40].end |
912.063 |
transcript.whisperx[40].text |
不是這樣子。不是。那為什麼當初連標示日期都可以搞不清楚?當時的這些雞蛋變成了夜蛋會有標示成台灣產地確實是因為對於這個夜蛋標示的方式認知不一樣 |
transcript.whisperx[41].start |
912.563 |
transcript.whisperx[41].end |
914.884 |
transcript.whisperx[41].text |
同樣當時的台中市也查獲未來彈,標示的生產日期還比實際日期還要長。 |
transcript.whisperx[42].start |
963.661 |
transcript.whisperx[42].end |
965.214 |
transcript.whisperx[42].text |
謝謝兩位委員:偉翔的質詢 |