IVOD_ID |
163125 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163125 |
日期 |
2025-07-15 |
會議資料.會議代碼 |
院會-11-3-20 |
會議資料.會議代碼:str |
第11屆第3會期第20次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
20 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第20次會議 |
影片種類 |
Clip |
開始時間 |
2025-07-15T09:05:02+08:00 |
結束時間 |
2025-07-15T09:10:20+08:00 |
影片長度 |
00:05:18 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8df350aa09bfad6ce0de1ac73f64c04f765028250bd2544a8d6900330b88f508a58ef45d272994b75ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
09:05:02 - 09:10:20 |
會議時間 |
2025-07-15T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第20次會議(事由:一、討論事項:本院經濟、財政兩委員會報告併案審查行政院函請審議、委員蔡易餘等18人、委員王美惠等17人、委員何欣純等19人分別擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」、國民黨黨團、委員許宇甄等21人分別擬具「因應國際情勢強化經濟社會及民眾消費韌性特別條例草案」、台灣民眾黨黨團擬具「因應國際情勢衝擊強化經濟社會韌性特別條例草案」、委員鄭天財Sra Kacaw等16人擬具「因應國際情勢強化經濟社會韌性及促進全民消費特別條例草案」、委員翁曉玲等22人擬具「因應國際情勢強化經濟產業及民生紓困特別條例草案」及委員賴士葆等30人擬具「因應國際情勢強化經濟社會韌性特別條例草案」案;本院委員賴瑞隆等17人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」,請審議案;本院委員王正旭等18人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」,請審議案等14案。二、7月11日上午9時至10時為國是論壇時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
14.54346875 |
transcript.pyannote[0].end |
16.82159375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
17.24346875 |
transcript.pyannote[1].end |
18.10409375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
18.69471875 |
transcript.pyannote[2].end |
19.31909375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
20.07846875 |
transcript.pyannote[3].end |
21.12471875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
21.58034375 |
transcript.pyannote[4].end |
24.02721875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
25.14096875 |
transcript.pyannote[5].end |
26.27159375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
27.30096875 |
transcript.pyannote[6].end |
28.02659375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
28.70159375 |
transcript.pyannote[7].end |
29.78159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
30.43971875 |
transcript.pyannote[8].end |
31.95846875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
32.61659375 |
transcript.pyannote[9].end |
33.88221875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
34.45596875 |
transcript.pyannote[10].end |
35.18159375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
36.78471875 |
transcript.pyannote[11].end |
37.74659375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
38.48909375 |
transcript.pyannote[12].end |
39.73784375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
40.46346875 |
transcript.pyannote[13].end |
42.28596875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
42.82596875 |
transcript.pyannote[14].end |
43.66971875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
44.44596875 |
transcript.pyannote[15].end |
45.66096875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
46.69034375 |
transcript.pyannote[16].end |
49.55909375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
49.84596875 |
transcript.pyannote[17].end |
51.14534375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
52.46159375 |
transcript.pyannote[18].end |
53.00159375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
53.25471875 |
transcript.pyannote[19].end |
53.86221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
54.68909375 |
transcript.pyannote[20].end |
55.87034375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
57.37221875 |
transcript.pyannote[21].end |
58.43534375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
59.51534375 |
transcript.pyannote[22].end |
61.23659375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
62.68784375 |
transcript.pyannote[23].end |
65.62409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
67.90221875 |
transcript.pyannote[24].end |
69.13409375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
70.29846875 |
transcript.pyannote[25].end |
74.51721875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
75.25971875 |
transcript.pyannote[26].end |
77.31846875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
78.19596875 |
transcript.pyannote[27].end |
79.09034375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
80.27159375 |
transcript.pyannote[28].end |
85.01346875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
86.05971875 |
transcript.pyannote[29].end |
86.78534375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
88.72596875 |
transcript.pyannote[30].end |
92.79284375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
93.09659375 |
transcript.pyannote[31].end |
97.50096875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
97.66971875 |
transcript.pyannote[32].end |
102.42846875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
102.74909375 |
transcript.pyannote[33].end |
105.02721875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
105.70221875 |
transcript.pyannote[34].end |
106.49534375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
106.76534375 |
transcript.pyannote[35].end |
107.92971875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
108.87471875 |
transcript.pyannote[36].end |
109.49909375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
110.12346875 |
transcript.pyannote[37].end |
111.52409375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
112.18221875 |
transcript.pyannote[38].end |
113.17784375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
113.38034375 |
transcript.pyannote[39].end |
115.65846875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
116.26596875 |
transcript.pyannote[40].end |
117.80159375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
118.13909375 |
transcript.pyannote[41].end |
118.79721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
119.16846875 |
transcript.pyannote[42].end |
120.04596875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
121.53096875 |
transcript.pyannote[43].end |
122.35784375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
122.81346875 |
transcript.pyannote[44].end |
123.79221875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
124.21409375 |
transcript.pyannote[45].end |
125.41221875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
125.80034375 |
transcript.pyannote[46].end |
127.04909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
127.55534375 |
transcript.pyannote[47].end |
128.68596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
129.37784375 |
transcript.pyannote[48].end |
131.43659375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
132.21284375 |
transcript.pyannote[49].end |
133.73159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
134.20409375 |
transcript.pyannote[50].end |
135.26721875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
136.09409375 |
transcript.pyannote[51].end |
136.68471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
137.42721875 |
transcript.pyannote[52].end |
141.03846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
142.05096875 |
transcript.pyannote[53].end |
143.21534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
143.58659375 |
transcript.pyannote[54].end |
144.21096875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
144.48096875 |
transcript.pyannote[55].end |
145.10534375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
145.47659375 |
transcript.pyannote[56].end |
146.79284375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
147.41721875 |
transcript.pyannote[57].end |
148.19346875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
148.66596875 |
transcript.pyannote[58].end |
150.52221875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
150.94409375 |
transcript.pyannote[59].end |
152.10846875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
153.20534375 |
transcript.pyannote[60].end |
154.62284375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
155.92221875 |
transcript.pyannote[61].end |
157.15409375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
158.84159375 |
transcript.pyannote[62].end |
159.75284375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
160.95096875 |
transcript.pyannote[63].end |
163.68471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
164.49471875 |
transcript.pyannote[64].end |
167.68409375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
168.59534375 |
transcript.pyannote[65].end |
170.26596875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
171.05909375 |
transcript.pyannote[66].end |
171.75096875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
172.22346875 |
transcript.pyannote[67].end |
173.91096875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
175.17659375 |
transcript.pyannote[68].end |
176.93159375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
177.40409375 |
transcript.pyannote[69].end |
179.04096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
179.76659375 |
transcript.pyannote[70].end |
180.52596875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
181.77471875 |
transcript.pyannote[71].end |
183.29346875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
183.49596875 |
transcript.pyannote[72].end |
185.09909375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
185.30159375 |
transcript.pyannote[73].end |
187.83284375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
188.74409375 |
transcript.pyannote[74].end |
190.33034375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
190.81971875 |
transcript.pyannote[75].end |
193.38471875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
193.90784375 |
transcript.pyannote[76].end |
196.77659375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
197.28284375 |
transcript.pyannote[77].end |
200.10096875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
200.35409375 |
transcript.pyannote[78].end |
201.41721875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
201.82221875 |
transcript.pyannote[79].end |
203.29034375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
204.16784375 |
transcript.pyannote[80].end |
208.26846875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
208.92659375 |
transcript.pyannote[81].end |
212.03159375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
212.80784375 |
transcript.pyannote[82].end |
213.98909375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
214.66409375 |
transcript.pyannote[83].end |
216.13221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
216.41909375 |
transcript.pyannote[84].end |
221.41409375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
221.81909375 |
transcript.pyannote[85].end |
222.52784375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
223.21971875 |
transcript.pyannote[86].end |
224.13096875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
224.70471875 |
transcript.pyannote[87].end |
227.33721875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
227.52284375 |
transcript.pyannote[88].end |
228.51846875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
229.24409375 |
transcript.pyannote[89].end |
230.69534375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
231.28596875 |
transcript.pyannote[90].end |
233.74971875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
234.15471875 |
transcript.pyannote[91].end |
238.45784375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
239.48721875 |
transcript.pyannote[92].end |
240.65159375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
241.46159375 |
transcript.pyannote[93].end |
245.47784375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
245.74784375 |
transcript.pyannote[94].end |
256.66596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
257.52659375 |
transcript.pyannote[95].end |
259.21409375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
259.55159375 |
transcript.pyannote[96].end |
262.04909375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
262.74096875 |
transcript.pyannote[97].end |
272.86596875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
273.84471875 |
transcript.pyannote[98].end |
274.36784375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
274.99221875 |
transcript.pyannote[99].end |
281.42159375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
281.91096875 |
transcript.pyannote[100].end |
283.64909375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
284.17221875 |
transcript.pyannote[101].end |
287.47971875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
288.03659375 |
transcript.pyannote[102].end |
292.50846875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
293.14971875 |
transcript.pyannote[103].end |
295.66409375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
296.17034375 |
transcript.pyannote[104].end |
298.70159375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
299.91659375 |
transcript.pyannote[105].end |
303.17346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
303.64596875 |
transcript.pyannote[106].end |
307.22346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
307.47659375 |
transcript.pyannote[107].end |
317.24721875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
318.96846875 |
transcript.pyannote[108].end |
319.03596875 |
transcript.whisperx[0].start |
14.571 |
transcript.whisperx[0].end |
43.389 |
transcript.whisperx[0].text |
丹納斯颱風已經過了一個禮拜了可是台南跟嘉義有些地方還是滿目倉儀家園淺肥很多人屋頂被吹掉了一邊在掃水一邊雨水又從天上掉了下來有一個村莊水淹到了脖子災民說再淹五分鐘整個村 |
transcript.whisperx[1].start |
44.505 |
transcript.whisperx[1].end |
68.9 |
transcript.whisperx[1].text |
全部人都死掉了到現在很多人的船舖都已經被泡爛了可是搬不走搬不動他們說只好繼續躺著災民要求總統請國進來幫我們那總統冷血的說國進不能什麼事都幫忙你們社區要自救 |
transcript.whisperx[2].start |
70.353 |
transcript.whisperx[2].end |
86.649 |
transcript.whisperx[2].text |
嘉義跟台南很多農作物都潛毀了宜溫裡面的鱸魚 虱目魚 五國魚都死了很多民眾說 總統清廷點水來了一下總統來了 電來了 總統走了 電也走了 |
transcript.whisperx[3].start |
88.966 |
transcript.whisperx[3].end |
107.576 |
transcript.whisperx[3].text |
這次德納斯颱風重創中南部台灣民眾黨在上個禮拜五就提出要求要重塑、重寬、重減、儘快救災、儘快重建、儘快補助可是被民進黨擋下來已經整整拖延了五天 |
transcript.whisperx[4].start |
109.057 |
transcript.whisperx[4].end |
119.546 |
transcript.whisperx[4].text |
這五天民進黨跟親密媒體還掩蓋嚴重的災情還一路造謠希望民進黨今天有天良有良心不要再擋了 |
transcript.whisperx[5].start |
121.59 |
transcript.whisperx[5].end |
140.785 |
transcript.whisperx[5].text |
上個禮拜五民進黨的幹事長吳思瑤說不用民眾黨提案行政院都在做了可是當天下午就被狠狠打臉了賴清德去了台南民眾高喊說總統我們就四到五天沒有水沒有電了還沒有人來關心 |
transcript.whisperx[6].start |
142.259 |
transcript.whisperx[6].end |
167.578 |
transcript.whisperx[6].text |
災民要求總統派國軍國軍說社區要自己救有長輩說我的屋頂被吹翻了總統說有帆布長輩說我爬不上去賴總統冷血的說我們要自己爬就在賴清德教訓災民的同時嘉義的藝足鄉還有將近一半是停電的 |
transcript.whisperx[7].start |
168.615 |
transcript.whisperx[7].end |
178.832 |
transcript.whisperx[7].text |
很多房子的屋頂被颱風都吹走了耐心的不救我們自己來救我還有很多民眾我們送環部到義足相公所去一路上電線 |
transcript.whisperx[8].start |
183.623 |
transcript.whisperx[8].end |
199.427 |
transcript.whisperx[8].text |
電線桿都橫躺在路上有些是硬生生一半都被折斷了鄉親摸黑帶著我去看很多房子殘破不堪有的一條路就有十幾根的電線桿都是倒下來的這裡是前台灣最大的如魚養殖區農作物潛毀魚潛死掉了 |
transcript.whisperx[9].start |
204.272 |
transcript.whisperx[9].end |
228.278 |
transcript.whisperx[9].text |
受災戶跟農民 叫天天不應 叫地地不靈他們說 除了鄉長之外 大官都不見了 都不來過去像這種事情 這麼嚴重的天災總統 行政院長 經濟部長 農業部長 內政部長 環境部長不是一定要鎖在災區嗎可是這次 大官都不見了民進黨跟綠媒還蓋牌 封鎖災情 |
transcript.whisperx[10].start |
229.281 |
transcript.whisperx[10].end |
249.609 |
transcript.whisperx[10].text |
有一家綠媒一天報的278則新聞竟然只有3則是跟災情有關係的其他上百則都在講什麼大罷免民進黨還造謠說債務黨刪了這個預算所以沒有錢救災真相是什麼農業部特別的收入基金371億5000萬只小刪了9000萬只刪了0.2還有99.8還有372億 |
transcript.whisperx[11].start |
257.572 |
transcript.whisperx[11].end |
271.806 |
transcript.whisperx[11].text |
民進黨把錢花到哪裡去了這筆錢比去年還多了六十三億被刪的只是超時錯記帳的九千萬民進黨竟然掩蓋B2同時還一花接木一根倒菜的竟然說已經沒有錢了 |
transcript.whisperx[12].start |
273.897 |
transcript.whisperx[12].end |
298.158 |
transcript.whisperx[12].text |
事實上作為農業部的372億行政經典費的災害準備金還有50億第二批還有80億我們還有救災的八王條款災害防救法的第57條為了救災所有的預算各機關都可以以反救急救災第一我們有太多的錢了結果我們的政府不好好救災還那邊一直造謠 |
transcript.whisperx[13].start |
299.963 |
transcript.whisperx[13].end |
305.13 |
transcript.whisperx[13].text |
這次風災損失超過了26億5000萬電線桿斷掉或倒掉了高達2500支我們請行政院長還有總統還有相關的部委所長經濟部長 農部長多多參進去趕快救災不要再造謠 謝謝 |