1 00:00:01,120 --> 00:00:03,680 Speaker 1: I want you to listen very carefully to the numbers 2 00:00:03,720 --> 00:00:05,520 Speaker 1: I'm about to give you, and I want you to 3 00:00:05,600 --> 00:00:08,880 Speaker 1: understand just how big the lies were to act like 4 00:00:08,920 --> 00:00:12,840 Speaker 1: the economy actually wasn't in terrible shape when Democrats were 5 00:00:12,880 --> 00:00:16,640 Speaker 1: in charge and they were running for reelection, they just 6 00:00:16,720 --> 00:00:20,759 Speaker 1: made up hundreds of thousands of jobs. We just got 7 00:00:20,800 --> 00:00:24,040 Speaker 1: these new numbers in that there was almost a million, 8 00:00:24,239 --> 00:00:28,920 Speaker 1: nine hundred eleven thousand fewer jobs were created between April 9 00:00:28,920 --> 00:00:32,159 Speaker 1: of twenty twenty four and March of twenty twenty five. 10 00:00:32,360 --> 00:00:35,640 Speaker 2: The Bureau of Labor Statistics is saying that isn't just 11 00:00:35,720 --> 00:00:36,920 Speaker 2: a revision. 12 00:00:37,240 --> 00:00:40,159 Speaker 1: That is a revision that is on a level that 13 00:00:40,320 --> 00:00:42,120 Speaker 1: clearly is straight up fraud. 14 00:00:42,880 --> 00:00:45,960 Speaker 2: You don't get these numbers this wrong. 15 00:00:46,520 --> 00:00:48,639 Speaker 1: Look at polling when they have a margin of air 16 00:00:48,680 --> 00:00:51,120 Speaker 1: of plus or minus three percent, or if it's a 17 00:00:51,159 --> 00:00:54,160 Speaker 1: bad poll four percent, if it's a horrific poll five percent. 18 00:00:54,800 --> 00:00:58,680 Speaker 1: You're telling me the federal government sucks so bad at 19 00:00:58,720 --> 00:01:01,360 Speaker 1: counting jobs same people, by the way, they're supposed to 20 00:01:01,400 --> 00:01:05,200 Speaker 1: be collecting taxes on these jobs, that they got it 21 00:01:05,240 --> 00:01:08,640 Speaker 1: wrong by nine hundred eleven thousand jobs. 22 00:01:08,720 --> 00:01:10,280 Speaker 2: The answer is obviously no. 23 00:01:11,000 --> 00:01:14,200 Speaker 1: What does this mean It means the labor market was weak, 24 00:01:14,640 --> 00:01:19,679 Speaker 1: extremely weak, well before the tariffs kicked in. The job 25 00:01:19,760 --> 00:01:24,120 Speaker 1: market was frozen in twenty twenty four as well. In fact, 26 00:01:24,120 --> 00:01:27,200 Speaker 1: the average job gains revision showed just one hundred and 27 00:01:27,200 --> 00:01:31,680 Speaker 1: forty seven thousand jobs per month. That is an average 28 00:01:31,800 --> 00:01:36,279 Speaker 1: job gain after revisions of seventy one thousand a month. Now, 29 00:01:36,400 --> 00:01:41,000 Speaker 1: this annual quote revision process is normal. What's not normal 30 00:01:41,080 --> 00:01:44,640 Speaker 1: is how big they're missing these numbers. The Bureau of 31 00:01:44,720 --> 00:01:48,680 Speaker 1: Labor Statistics does it every year, and they apparently just 32 00:01:48,960 --> 00:01:50,800 Speaker 1: lie when Democrats are in office. 33 00:01:50,840 --> 00:01:51,800 Speaker 2: I'll give you example. 34 00:01:52,360 --> 00:01:55,880 Speaker 1: Last August, right in the heat of the election, the 35 00:01:55,960 --> 00:02:01,560 Speaker 1: Bureau of Labor Statistics reported negative eight hundred eighteen thousand 36 00:02:01,680 --> 00:02:08,160 Speaker 1: fewer jobs. Yes, these were large, massive corruption revisions, is 37 00:02:08,160 --> 00:02:09,120 Speaker 1: how I describe it. 38 00:02:09,760 --> 00:02:10,840 Speaker 2: Why did this happen? 39 00:02:11,200 --> 00:02:14,320 Speaker 1: It happened because they wanted to say the economy isn't 40 00:02:14,400 --> 00:02:17,200 Speaker 1: as bad as it really was when Joe Biden was 41 00:02:17,280 --> 00:02:21,000 Speaker 1: running for reelection. So the takeaway, and this is what 42 00:02:21,080 --> 00:02:24,840 Speaker 1: I want you to really understand. Number One, Donald Trump 43 00:02:25,000 --> 00:02:30,639 Speaker 1: clearly inherited a massive mess. It is a absolute scandal 44 00:02:31,560 --> 00:02:37,120 Speaker 1: of gigantic proportions that our government was lying to the 45 00:02:37,120 --> 00:02:40,679 Speaker 1: American people, trying to make you feel like things are 46 00:02:40,720 --> 00:02:44,520 Speaker 1: better than they actually are. Caroline Levitt, the White House 47 00:02:44,560 --> 00:02:46,200 Speaker 1: pre Secretary, said it this way. 48 00:02:46,400 --> 00:02:46,800 Speaker 2: Quote. 49 00:02:47,000 --> 00:02:53,680 Speaker 1: Today, the Bureau of Labor Stistics released the largest downward 50 00:02:53,760 --> 00:02:58,919 Speaker 1: revision on record in history. I'm going to say that again, 51 00:02:59,800 --> 00:03:03,799 Speaker 1: the Bureau of Labor Statistics released the largest downward revision 52 00:03:03,919 --> 00:03:08,600 Speaker 1: on record ever. Why did this happen because they wanted 53 00:03:08,760 --> 00:03:11,320 Speaker 1: Joe Biden to win. I want to talk to you 54 00:03:11,360 --> 00:03:14,080 Speaker 1: about my friends over at Patriot Mobile. You've got a 55 00:03:14,120 --> 00:03:17,480 Speaker 1: lot of choices for cell phone service, with new ones 56 00:03:17,520 --> 00:03:20,200 Speaker 1: popping up all the time. But if you want to 57 00:03:20,240 --> 00:03:22,560 Speaker 1: make a difference and you want to stop giving your 58 00:03:22,600 --> 00:03:25,520 Speaker 1: money to liberal companies, well one way you can do 59 00:03:25,600 --> 00:03:29,040 Speaker 1: that is by getting rid of Liberal Mobile you probably 60 00:03:29,040 --> 00:03:32,080 Speaker 1: have right now. 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Carolin Levitt said it provides more understanding online. 94 00:05:21,520 --> 00:05:25,280 Speaker 1: President Donald Trump took action to address concerns about reporting 95 00:05:25,360 --> 00:05:28,479 Speaker 1: accuracy at the Bureau, with Levitt saying it proves that 96 00:05:28,560 --> 00:05:32,280 Speaker 1: President Trump was right. Biden's economy was a disaster, and 97 00:05:32,360 --> 00:05:35,800 Speaker 1: the Bureau of Labor Statistics is straight up broken. The 98 00:05:35,839 --> 00:05:38,680 Speaker 1: White House added quote, this is exactly why we need 99 00:05:38,760 --> 00:05:43,359 Speaker 1: new leadership to restore trust and confidence in the data 100 00:05:43,440 --> 00:05:48,120 Speaker 1: on behalf of the financial markets, on behalf of businesses, policymakers, 101 00:05:48,279 --> 00:05:50,880 Speaker 1: and families that rely on this data to make major 102 00:05:50,960 --> 00:05:54,520 Speaker 1: decisions now. The White House on August first released a 103 00:05:54,560 --> 00:05:58,080 Speaker 1: list of errors and missions by the Bureau of Labor Statistics. 104 00:05:58,120 --> 00:06:01,120 Speaker 2: By the way, this is like their entire job, which. 105 00:06:00,960 --> 00:06:06,080 Speaker 1: Is accused of inaccuracies and also now in competency. And 106 00:06:06,120 --> 00:06:09,760 Speaker 1: the White House also pointing a finger at Commissioner Erica 107 00:06:10,320 --> 00:06:14,000 Speaker 1: Mickin Tarfer, who was appointed to the role by former 108 00:06:14,200 --> 00:06:18,360 Speaker 1: President Joe Biden. Among those examples was not only them 109 00:06:18,440 --> 00:06:21,720 Speaker 1: issuing another massive revision of these jobs, more than eight 110 00:06:21,760 --> 00:06:25,640 Speaker 1: hundred thousand were overestimated and what was the second largest 111 00:06:25,680 --> 00:06:27,440 Speaker 1: downward revision for the. 112 00:06:27,400 --> 00:06:30,320 Speaker 2: BLS as well. And so this means two in a row. 113 00:06:30,520 --> 00:06:33,320 Speaker 1: Okay, two years in a row they were lying to 114 00:06:33,360 --> 00:06:35,200 Speaker 1: you about how bad the numbers were, or they were 115 00:06:35,240 --> 00:06:39,360 Speaker 1: just making up literally almost two million jobs that didn't exist. 116 00:06:40,080 --> 00:06:42,000 Speaker 2: Now, Donald Trump. 117 00:06:41,920 --> 00:06:45,599 Speaker 1: Fired Erica just hours after the release of the July 118 00:06:45,800 --> 00:06:49,280 Speaker 1: jobs report, which showed weaker than expected job growth and 119 00:06:49,400 --> 00:06:52,960 Speaker 1: significant downward revisions for May and June. That's when the 120 00:06:53,040 --> 00:06:55,760 Speaker 1: left was like, you can't do this as a nonpartisan Well, 121 00:06:55,800 --> 00:06:58,680 Speaker 1: it is partisan. Clearly it was because she created two 122 00:06:58,760 --> 00:07:01,520 Speaker 1: million jobs out of thin air to help Joe Biden 123 00:07:01,600 --> 00:07:05,520 Speaker 1: and the Democrats. The Labor Secretary, by the way, posting 124 00:07:05,600 --> 00:07:09,120 Speaker 1: on Tuesday that the negative drop of numbers from the 125 00:07:09,120 --> 00:07:13,600 Speaker 1: Bureau of Labor Statistics reveals a quote problem, saying today's 126 00:07:13,640 --> 00:07:17,040 Speaker 1: massive downward revision gives the American people even more reason 127 00:07:17,520 --> 00:07:20,760 Speaker 1: to doubt the integrity of data being published by our government. 128 00:07:21,200 --> 00:07:25,960 Speaker 1: It's imperative for the data to remain accurate, impartial, and 129 00:07:26,080 --> 00:07:30,480 Speaker 1: never altered for political gain. Now, within two weeks of 130 00:07:30,640 --> 00:07:36,280 Speaker 1: firing the individual who's overseeing this insanity, Trump also named 131 00:07:36,400 --> 00:07:40,600 Speaker 1: Heritage Foundation chief economists and Tony to lead the bureau. 132 00:07:40,880 --> 00:07:44,600 Speaker 1: His nomination is also waiting Senate confirmation, something that I 133 00:07:44,600 --> 00:07:48,320 Speaker 1: think clearly should be done as soon as possible. Which 134 00:07:48,360 --> 00:07:51,320 Speaker 1: brings me to Steven Moore. He's former Trump campaign senior 135 00:07:51,360 --> 00:07:54,200 Speaker 1: economic advisor. You may know him from Fox News and 136 00:07:54,280 --> 00:07:56,400 Speaker 1: Fox Business. I want you to hear what he had 137 00:07:56,400 --> 00:07:59,000 Speaker 1: to say about the far fewer jobs added than expected 138 00:07:59,040 --> 00:08:01,560 Speaker 1: in August, and also when he says about the job 139 00:08:01,600 --> 00:08:03,120 Speaker 1: report revisions in general. 140 00:08:03,520 --> 00:08:05,720 Speaker 3: Did the week optimistic We're going to see a rate 141 00:08:05,760 --> 00:08:08,080 Speaker 3: cut next week? After we got the key jobs report 142 00:08:08,120 --> 00:08:11,720 Speaker 3: for August, the first one since President Trump fired the 143 00:08:11,720 --> 00:08:14,720 Speaker 3: commissioner of the Bureau of Labor Statistics last month, there 144 00:08:14,760 --> 00:08:18,320 Speaker 3: were questions over the accuracy of the data, the report 145 00:08:18,400 --> 00:08:21,080 Speaker 3: showing much fewer jobs out in August than expected, only 146 00:08:21,120 --> 00:08:24,480 Speaker 3: twenty two thousand versus the estimate of seventy five thousand, 147 00:08:24,640 --> 00:08:27,040 Speaker 3: and the unemployment rate now at its highest level since 148 00:08:27,080 --> 00:08:30,480 Speaker 3: October of twenty twenty one, we also got revisions showing 149 00:08:30,480 --> 00:08:33,760 Speaker 3: twenty one thousand fewer jobs created in June and July 150 00:08:33,920 --> 00:08:35,400 Speaker 3: than previously reported. 151 00:08:35,760 --> 00:08:36,920 Speaker 2: For more on this and what. 152 00:08:36,880 --> 00:08:38,800 Speaker 3: It means for the Fed's next move, I'm joining my 153 00:08:38,880 --> 00:08:42,319 Speaker 3: committee to Unleashed Prosperity co founder Steve Moore. Steve, it's 154 00:08:42,320 --> 00:08:45,320 Speaker 3: great to see you talk to me about your thoughts 155 00:08:45,400 --> 00:08:47,839 Speaker 3: on this job's report. Pretty big miss on the. 156 00:08:47,880 --> 00:08:51,000 Speaker 4: Estimate, well, sure wise, but you know, it's interesting. I 157 00:08:51,040 --> 00:08:53,800 Speaker 4: think one of the takeaways from this report is how 158 00:08:53,840 --> 00:08:56,600 Speaker 4: increasingly unreliable these. 159 00:08:56,440 --> 00:08:57,400 Speaker 2: Jobs numbers are. 160 00:08:57,400 --> 00:09:00,280 Speaker 4: And you know, we talked you and I and and 161 00:09:00,360 --> 00:09:04,000 Speaker 4: Maria talk about this every first Friday of every month, 162 00:09:04,320 --> 00:09:07,199 Speaker 4: and we're seeing these gyrations in the numbers. And also 163 00:09:07,920 --> 00:09:10,559 Speaker 4: one of the things that hasn't been really widely reported 164 00:09:10,720 --> 00:09:13,800 Speaker 4: is that there's two surveys. One survey had a big 165 00:09:13,840 --> 00:09:16,199 Speaker 4: increase in jobs by I think I don't remember the 166 00:09:16,240 --> 00:09:19,320 Speaker 4: exact number, close to three hundred thousand, whereas the one 167 00:09:19,360 --> 00:09:22,360 Speaker 4: that's reported the headline number was what twenty eight thousand. 168 00:09:22,640 --> 00:09:25,440 Speaker 4: So we need to clean up these numbers, Cheryl, because 169 00:09:26,040 --> 00:09:30,920 Speaker 4: we make so many economic decisions based on these jobs numbers. 170 00:09:30,960 --> 00:09:34,120 Speaker 4: And I've been doing this for thirty five years. I think, 171 00:09:34,360 --> 00:09:37,200 Speaker 4: look at the re estimates. They keep changing the numbers 172 00:09:37,200 --> 00:09:37,640 Speaker 4: every month. 173 00:09:37,720 --> 00:09:38,360 Speaker 2: I would ask you. 174 00:09:38,320 --> 00:09:40,440 Speaker 1: Something, but by the way, you listen to what Steve 175 00:09:40,559 --> 00:09:43,880 Speaker 1: Moore says. He's saying, and it's true. So many people 176 00:09:43,960 --> 00:09:47,719 Speaker 1: make business decisions off of this data and information. By 177 00:09:47,760 --> 00:09:50,480 Speaker 1: the way, that's why this data is supposed to be 178 00:09:50,520 --> 00:09:53,800 Speaker 1: done by the Bureau of Labor Statistics. It's supposed to 179 00:09:53,880 --> 00:09:56,920 Speaker 1: be non biased in the way that it is done. 180 00:09:57,080 --> 00:10:00,440 Speaker 1: And we have a very clear problem here. There has 181 00:10:00,440 --> 00:10:04,600 Speaker 1: been a massive politicization of these numbers to try to 182 00:10:04,679 --> 00:10:08,480 Speaker 1: help out Democrats when they're running for office. They created 183 00:10:08,559 --> 00:10:13,200 Speaker 1: two million jobs that they knew weren't there, just so 184 00:10:13,320 --> 00:10:15,600 Speaker 1: the economy would look like it's better than it actually 185 00:10:15,679 --> 00:10:18,800 Speaker 1: is now. Also, I think the American people understood how 186 00:10:18,840 --> 00:10:23,080 Speaker 1: bad it was, and so they like that's why they 187 00:10:23,160 --> 00:10:24,160 Speaker 1: voted for Donald Trump. 188 00:10:24,480 --> 00:10:26,720 Speaker 2: But it had to be really bad for them to 189 00:10:26,840 --> 00:10:27,200 Speaker 2: see it. 190 00:10:27,559 --> 00:10:30,400 Speaker 1: And so this is again one of the examples of 191 00:10:30,440 --> 00:10:33,360 Speaker 1: the massive lies of the left. And it's something that 192 00:10:33,480 --> 00:10:38,480 Speaker 1: absolutely should Okay, it's something that should never ever, ever 193 00:10:38,600 --> 00:10:42,520 Speaker 1: ever happen, period, full stop. This is why Trump is 194 00:10:42,559 --> 00:10:45,240 Speaker 1: going after this. This is why there needs to be reformed. 195 00:10:45,360 --> 00:10:50,920 Speaker 1: It is truly insane. No one helps. There were several 196 00:10:50,960 --> 00:10:54,280 Speaker 1: people around a young girl and they just leave her, 197 00:10:54,840 --> 00:10:58,600 Speaker 1: all of them walking away as a young girl is 198 00:10:58,840 --> 00:11:02,800 Speaker 1: dying after an individual who should have never been on 199 00:11:02,840 --> 00:11:08,000 Speaker 1: the streets, who was allowed out after multiple crimes, stabbed 200 00:11:08,000 --> 00:11:13,440 Speaker 1: the young woman who came to America for a better life. 201 00:11:13,559 --> 00:11:18,120 Speaker 1: After five stabs in the neck with a knife, she 202 00:11:18,160 --> 00:11:21,280 Speaker 1: slowly loses consciousness and collapse into a pool of blood, 203 00:11:22,080 --> 00:11:26,240 Speaker 1: terrified and alone. And what did the public do around her? 204 00:11:26,679 --> 00:11:33,880 Speaker 1: Nothing at all. Not a single person decided to help her. 205 00:11:34,320 --> 00:11:38,880 Speaker 1: They walked away. We also know the media is going 206 00:11:38,920 --> 00:11:42,560 Speaker 1: to do nothing to help her either. This after the 207 00:11:42,679 --> 00:11:46,959 Speaker 1: shocking video and a long wrap sheet of the accused 208 00:11:47,120 --> 00:11:51,680 Speaker 1: murderer come forward, mainstream media decided, we don't want to 209 00:11:51,720 --> 00:11:52,640 Speaker 1: talk about this. 210 00:11:53,320 --> 00:11:55,280 Speaker 2: We're gonna look the other way. 211 00:11:56,000 --> 00:11:59,160 Speaker 1: We're going to act like an African American man killing 212 00:11:59,160 --> 00:12:04,080 Speaker 1: a white girl will never be a issue that anyone 213 00:12:04,320 --> 00:12:09,000 Speaker 1: is talking about. Before this show, if you would have 214 00:12:09,240 --> 00:12:14,280 Speaker 1: gone to the AP's news search the Associated Press and 215 00:12:14,320 --> 00:12:18,360 Speaker 1: you put in the words George Floyd seventy four thousand, 216 00:12:18,880 --> 00:12:22,120 Speaker 1: two hundred and twenty one AP articles would come up 217 00:12:22,160 --> 00:12:26,560 Speaker 1: about George Floyd. If you put in the woman's name 218 00:12:27,400 --> 00:12:30,679 Speaker 1: who came to this country for a safe place, into 219 00:12:30,720 --> 00:12:34,760 Speaker 1: the Associated Press news search, you would have found zero 220 00:12:35,280 --> 00:12:41,000 Speaker 1: articles zero about her. Let's also talk about what the 221 00:12:41,080 --> 00:12:44,320 Speaker 1: difference is. For example, you had a white man that 222 00:12:44,360 --> 00:12:47,679 Speaker 1: restrained a black man acting erratic and aggressive, there was 223 00:12:47,800 --> 00:12:50,640 Speaker 1: national outrage, and he was charged with crimes in New 224 00:12:50,720 --> 00:12:54,400 Speaker 1: York City, went to trial. Thank goodness, he was let go. 225 00:12:54,920 --> 00:12:58,400 Speaker 1: But a black man brutally stabs a quiet white girl 226 00:12:59,120 --> 00:13:01,480 Speaker 1: minding her own business and there's no. 227 00:13:01,880 --> 00:13:04,400 Speaker 2: National outrage at all. 228 00:13:05,000 --> 00:13:08,319 Speaker 1: The question you have to ask yourself is why why 229 00:13:08,480 --> 00:13:11,440 Speaker 1: is it that there were zero AP stories on the 230 00:13:11,480 --> 00:13:16,680 Speaker 1: deadly attack, zero PBS stories on the deadly attack, zero 231 00:13:16,960 --> 00:13:21,120 Speaker 1: New York Times stories on the deadly attack, zero INPR 232 00:13:21,280 --> 00:13:24,920 Speaker 1: stories on the deadly attack, and zero Wall Street Journal 233 00:13:25,000 --> 00:13:29,360 Speaker 1: stories on the deadly attack. This doesn't include ABC, NBC, 234 00:13:29,480 --> 00:13:33,000 Speaker 1: and CBS, who have refused to talk about it until 235 00:13:33,040 --> 00:13:36,960 Speaker 1: they've been shamed by conservatives who are exposing it. 236 00:13:37,360 --> 00:13:39,040 Speaker 2: And that brings me to the White House. 237 00:13:39,840 --> 00:13:43,559 Speaker 1: White House Press Secretary Caroline Levitt holding the press briefing, 238 00:13:43,840 --> 00:13:45,520 Speaker 1: and I want you to listen to what she said, 239 00:13:45,559 --> 00:13:46,080 Speaker 1: to the media. 240 00:13:46,360 --> 00:13:48,840 Speaker 2: Sitting in front of her today, I. 241 00:13:48,840 --> 00:13:51,720 Speaker 5: Would like to address the tragedy that has not received 242 00:13:51,720 --> 00:13:56,720 Speaker 5: nearly enough media attention, the brutal murder of Arena Zarutzka. 243 00:13:56,920 --> 00:13:59,480 Speaker 5: Here are the facts that many outlets have shamefully and 244 00:13:59,559 --> 00:14:03,000 Speaker 5: intention failed to report until President. 245 00:14:02,600 --> 00:14:04,280 Speaker 6: Trump drew attention to it. 246 00:14:04,720 --> 00:14:08,439 Speaker 5: On August twenty second, Arena Zarutzka was stabbed to death 247 00:14:08,520 --> 00:14:11,839 Speaker 5: on the rail system in Charlotte, North Carolina by a 248 00:14:11,960 --> 00:14:16,080 Speaker 5: savage career criminal. This is a public transportation system that 249 00:14:16,200 --> 00:14:18,800 Speaker 5: many in the area use every single day to go 250 00:14:18,880 --> 00:14:22,440 Speaker 5: to school and work. Arena was on the train that night, 251 00:14:22,480 --> 00:14:25,280 Speaker 5: traveling home from her job at a pizzeria, still in 252 00:14:25,400 --> 00:14:29,640 Speaker 5: uniform from her shift. This beautiful, innocent, twenty three year 253 00:14:29,680 --> 00:14:33,240 Speaker 5: old young woman was a Ukrainian refugee who had recently 254 00:14:33,280 --> 00:14:35,920 Speaker 5: fled her country for a chance at a safer life 255 00:14:36,240 --> 00:14:39,360 Speaker 5: and a promising new beginning here in the United States 256 00:14:39,360 --> 00:14:43,680 Speaker 5: of America. But tragically, a public transportation system in a 257 00:14:43,720 --> 00:14:46,880 Speaker 5: major American city was more dangerous than the active war 258 00:14:47,240 --> 00:14:50,840 Speaker 5: zone that she left. The President in the entire Winehouse 259 00:14:50,880 --> 00:14:53,760 Speaker 5: are praying for her family and friends during this unimaginably 260 00:14:53,800 --> 00:14:54,560 Speaker 5: difficult time. 261 00:14:55,000 --> 00:14:57,000 Speaker 6: But while we extend our thoughts in prayers. 262 00:14:57,320 --> 00:14:59,800 Speaker 5: We must also seek justice for this crime and call 263 00:14:59,840 --> 00:15:03,480 Speaker 5: it tention to this heinous incident. Surveillance video of the 264 00:15:03,560 --> 00:15:06,240 Speaker 5: killing was finally released to the public this past Friday. 265 00:15:06,640 --> 00:15:10,480 Speaker 5: It shows the alleged killer, to Carlos Brown Junior, pull 266 00:15:10,520 --> 00:15:13,360 Speaker 5: out a knife, get up from his seat behind arena, 267 00:15:13,680 --> 00:15:16,960 Speaker 5: and prepare to thrust a blade into her neck before 268 00:15:17,000 --> 00:15:20,760 Speaker 5: the released footage gets cut. This is pure evil on 269 00:15:20,880 --> 00:15:24,520 Speaker 5: full display. The most enraging and unacceptable part of this 270 00:15:24,600 --> 00:15:28,680 Speaker 5: story is that her death was entirely preventable. De Carlos 271 00:15:28,720 --> 00:15:31,640 Speaker 5: Brown never should have been on that train that night. 272 00:15:32,080 --> 00:15:35,160 Speaker 5: In fact, he should have been behind bars. De Carlos 273 00:15:35,160 --> 00:15:38,120 Speaker 5: Brown has been charged with crimes no fewer than fourteen 274 00:15:38,240 --> 00:15:43,960 Speaker 5: times dating back to twenty and eleven, including for armed robbery, felony, larceny, 275 00:15:44,080 --> 00:15:48,800 Speaker 5: breaking and entering in shoplifting. Brown had previously served five 276 00:15:48,880 --> 00:15:51,920 Speaker 5: years in prison for a robbery with a deadly weapon charge, 277 00:15:52,240 --> 00:15:55,800 Speaker 5: and he had also forfeited bonds three different times, twice 278 00:15:55,880 --> 00:16:00,200 Speaker 5: in twenty fourteen and once in twenty twenty three. By 279 00:16:00,320 --> 00:16:03,360 Speaker 5: all of this past documented criminal history. When Brown was 280 00:16:03,480 --> 00:16:06,800 Speaker 5: arrested yet again in January of this past year, a 281 00:16:06,880 --> 00:16:10,120 Speaker 5: Democrat judge who will I will add was a supporter, 282 00:16:10,280 --> 00:16:14,360 Speaker 5: a strong supporter of former Vice President Kamala Harris, released 283 00:16:14,440 --> 00:16:18,320 Speaker 5: this insane criminal once again without requiring him to pay 284 00:16:18,720 --> 00:16:22,320 Speaker 5: any bail. He simply had to sign a written promise 285 00:16:22,400 --> 00:16:26,040 Speaker 5: to return for his court hearing. Think about how crazy 286 00:16:26,080 --> 00:16:29,280 Speaker 5: it is to ask a career criminal, someone who by 287 00:16:29,360 --> 00:16:33,200 Speaker 5: definition repeatedly breaks the law, to just sign a written 288 00:16:33,280 --> 00:16:35,200 Speaker 5: promise and come back again another day. 289 00:16:35,280 --> 00:16:36,320 Speaker 6: This is madness. 290 00:16:36,680 --> 00:16:39,400 Speaker 5: This monster should have been locked up, and Arena should 291 00:16:39,400 --> 00:16:40,120 Speaker 5: still be alive. 292 00:16:40,560 --> 00:16:42,600 Speaker 6: But Democrat politicians. 293 00:16:42,040 --> 00:16:45,480 Speaker 5: Liberal judges, and weak prosecutors would rather virtue signal than 294 00:16:45,560 --> 00:16:49,600 Speaker 5: lock up criminals and protect their communities. And, perhaps most 295 00:16:49,640 --> 00:16:53,400 Speaker 5: shamefully of all, the majority of the media. Many outlets 296 00:16:53,400 --> 00:16:56,080 Speaker 5: in this room decided that her murder was not worth 297 00:16:56,120 --> 00:16:59,760 Speaker 5: reporting on originally because it does not fit a preferred near. 298 00:17:00,800 --> 00:17:03,800 Speaker 5: Many of the journalists in this room spilled plenty of 299 00:17:03,840 --> 00:17:07,320 Speaker 5: ink trying to smear Daniel Penny for defending a subway 300 00:17:07,359 --> 00:17:10,240 Speaker 5: car from a deranged lunatic in New York City, but 301 00:17:10,600 --> 00:17:13,520 Speaker 5: none of those same reporters lift a finger to write 302 00:17:13,640 --> 00:17:17,439 Speaker 5: stories about an actual murderer. Here is the truth that 303 00:17:17,520 --> 00:17:20,600 Speaker 5: every American must know too. Many innocent people across the 304 00:17:20,640 --> 00:17:24,240 Speaker 5: country continue to pay the price of the failed experiment 305 00:17:24,359 --> 00:17:27,879 Speaker 5: known as cashless bail that has been championed by the 306 00:17:27,880 --> 00:17:31,679 Speaker 5: Democrat Party for years. All the way back in twenty twenty, 307 00:17:31,800 --> 00:17:35,760 Speaker 5: North Carolina's then Democrat Governor Roy Cooper established a so 308 00:17:35,920 --> 00:17:39,400 Speaker 5: called Task Force for Racial Equity and Criminal Justice. 309 00:17:39,680 --> 00:17:40,919 Speaker 6: Sounds nice, but it's not. 310 00:17:41,359 --> 00:17:44,320 Speaker 5: That task force was co authored by then Attorney General 311 00:17:44,359 --> 00:17:46,399 Speaker 5: and current Democrat Governor Josh Stein. 312 00:17:46,920 --> 00:17:50,040 Speaker 6: It recommended quote reimagining. 313 00:17:49,320 --> 00:17:54,040 Speaker 5: Public safety to quote promote diversion and other alternatives to arrest. 314 00:17:54,520 --> 00:17:59,000 Speaker 5: It also advised to de emphasize some felony crimes, prioritize 315 00:17:59,119 --> 00:18:04,520 Speaker 5: quote restorative justice, and eliminate cash bail. Democrats in North 316 00:18:04,520 --> 00:18:08,119 Speaker 5: Carolina in nationwide, are consumed with pushing a woke, soft 317 00:18:08,160 --> 00:18:11,679 Speaker 5: on crime agenda, no matter how many innocent Americans suffer 318 00:18:12,040 --> 00:18:15,720 Speaker 5: as a result. Instead of aggressively prosecuting and locking up 319 00:18:15,800 --> 00:18:20,480 Speaker 5: violent criminals, the Democrat backed cashless bail approach lets these 320 00:18:20,520 --> 00:18:24,119 Speaker 5: criminals roam free in our country to offend again and again. 321 00:18:24,600 --> 00:18:28,200 Speaker 5: These reckless policies have turned too many many of American 322 00:18:28,240 --> 00:18:31,480 Speaker 5: cities into hunting grounds for career criminals who mock our 323 00:18:31,680 --> 00:18:35,879 Speaker 5: justice system, drain law enforcement resources, and wreak havoc on 324 00:18:35,960 --> 00:18:37,080 Speaker 5: law abiding citizens. 325 00:18:37,640 --> 00:18:39,040 Speaker 6: Enough is enough, and that is. 326 00:18:39,000 --> 00:18:41,760 Speaker 5: Why President Trump is doing everything in his power by 327 00:18:41,800 --> 00:18:46,760 Speaker 5: taking action to undo these absurd policies. The President recently 328 00:18:46,800 --> 00:18:50,520 Speaker 5: signed a powerful executive order directing the AG to submit 329 00:18:50,560 --> 00:18:53,880 Speaker 5: a list of states in local jurisdictions with cashless bail 330 00:18:53,920 --> 00:18:57,919 Speaker 5: policies so that the Trump administration may identify federal funds 331 00:18:58,000 --> 00:19:00,840 Speaker 5: that can are being provided to these states and can 332 00:19:00,840 --> 00:19:05,600 Speaker 5: potentially be suspended or terminated. President Jump firmly believes that 333 00:19:05,640 --> 00:19:10,120 Speaker 5: to maintain order in public safety, we must incarcerate individuals 334 00:19:10,119 --> 00:19:14,240 Speaker 5: who's pending criminal charges or criminal history demonstrate a clear 335 00:19:14,680 --> 00:19:18,439 Speaker 5: ongoing risk to civil society. This is a common sense 336 00:19:18,680 --> 00:19:22,199 Speaker 5: and sensible approach that the vast majority of Americans agree with, 337 00:19:22,240 --> 00:19:24,719 Speaker 5: and it's time for the Democrat Party to get on 338 00:19:24,720 --> 00:19:27,680 Speaker 5: board with what is right. When these criminals are caught, 339 00:19:27,720 --> 00:19:30,040 Speaker 5: they must be prosecuted to the fullest extent of the 340 00:19:30,119 --> 00:19:32,359 Speaker 5: law and be sent to prison where they can no 341 00:19:32,440 --> 00:19:35,920 Speaker 5: longer terrorize our streets. This is the mandate the American 342 00:19:35,960 --> 00:19:38,639 Speaker 5: people delivered to President Trump, and it's a mandate he 343 00:19:38,720 --> 00:19:39,720 Speaker 5: intends to fulfill. 344 00:19:40,480 --> 00:19:42,000 Speaker 2: Plain and simple, this was. 345 00:19:41,960 --> 00:19:45,240 Speaker 1: A crime that didn't fit the narrative that the media 346 00:19:45,320 --> 00:19:48,600 Speaker 1: wanted or the left. They didn't want to stand up 347 00:19:48,640 --> 00:19:51,359 Speaker 1: for a young girl, and they didn't want to have 348 00:19:51,440 --> 00:19:54,600 Speaker 1: to tell you about the crimes had already been committed 349 00:19:54,600 --> 00:19:55,800 Speaker 1: by this psychopath. 350 00:19:56,240 --> 00:19:57,399 Speaker 2: What do they say about this? 351 00:19:57,560 --> 00:20:00,919 Speaker 1: For example, over at CNN, they said, well, this is 352 00:20:00,920 --> 00:20:04,280 Speaker 1: a mental health issue and we don't need to sensationalize it. 353 00:20:04,640 --> 00:20:07,960 Speaker 1: They also said it's unfair to say that he targeted 354 00:20:08,000 --> 00:20:12,240 Speaker 1: the young woman because she was white, even though he 355 00:20:12,359 --> 00:20:16,520 Speaker 1: said afterwards, I got that white girl. Listen carefully to 356 00:20:16,520 --> 00:20:17,800 Speaker 1: how the media is spinning it. 357 00:20:18,359 --> 00:20:21,159 Speaker 7: You are mentally ill. You have a hard time knowing 358 00:20:21,280 --> 00:20:23,680 Speaker 7: that you are mentally ill. But also, I mean, people 359 00:20:23,720 --> 00:20:27,639 Speaker 7: like Charlie kirk fan they've been looking for opportunities to 360 00:20:27,680 --> 00:20:31,160 Speaker 7: make this some sort of like reciprocal George Floyd situation. 361 00:20:31,880 --> 00:20:35,760 Speaker 7: And that's the part that I think he's almost giving 362 00:20:35,760 --> 00:20:38,639 Speaker 7: away the game. And it's sad to see a lot 363 00:20:38,680 --> 00:20:39,880 Speaker 7: of people going along with it. 364 00:20:41,040 --> 00:20:42,240 Speaker 8: You know, I need to say a couple of things. 365 00:20:42,240 --> 00:20:44,440 Speaker 8: One is, and what happened to that young woman was horrible, 366 00:20:45,280 --> 00:20:50,000 Speaker 8: and it's everybody's nightmare if you're in any public space, subway, whatever, 367 00:20:50,359 --> 00:20:52,119 Speaker 8: that something bad's gonna happen to you or somebody you 368 00:20:52,200 --> 00:20:54,920 Speaker 8: care about. So it does strike a chord. We don't 369 00:20:54,960 --> 00:20:57,280 Speaker 8: know why that man did what he did, and for 370 00:20:57,359 --> 00:21:00,199 Speaker 8: Charlie Kirk to say we know he did it how 371 00:21:00,280 --> 00:21:02,800 Speaker 8: she's white, when there's no evidence of that, it's just 372 00:21:02,880 --> 00:21:07,760 Speaker 8: pure race mongering, hate mongering. It's wrong. Then he says 373 00:21:08,040 --> 00:21:10,240 Speaker 8: that if something like that had happened the other way, 374 00:21:10,680 --> 00:21:14,080 Speaker 8: there'd be sweeping changes and posed on society. Where is 375 00:21:14,080 --> 00:21:17,960 Speaker 8: the George Floyd Policing Act. It didn't pass. Even when 376 00:21:18,000 --> 00:21:21,440 Speaker 8: you had a white police officer murder a black man 377 00:21:21,760 --> 00:21:24,159 Speaker 8: on live television, the whole world saw. There were no 378 00:21:24,240 --> 00:21:26,800 Speaker 8: sleeping changes. In fact, not one law was past at 379 00:21:26,840 --> 00:21:29,639 Speaker 8: the federal level. So I think that's an important thing 380 00:21:29,680 --> 00:21:31,359 Speaker 8: to point out. The other thing is you mentioned the 381 00:21:31,359 --> 00:21:34,720 Speaker 8: thing about cashless bail. I think this is a big 382 00:21:34,880 --> 00:21:37,840 Speaker 8: challenge that we have. Would you have felt better if 383 00:21:37,880 --> 00:21:40,280 Speaker 8: there had been cash bail and the mom had come 384 00:21:40,320 --> 00:21:42,320 Speaker 8: and put down a thousand dollars to let him out. 385 00:21:42,480 --> 00:21:43,680 Speaker 2: It's not about cash. 386 00:21:43,520 --> 00:21:45,760 Speaker 8: Less bail or no cashless bill. It's about the fact 387 00:21:45,760 --> 00:21:48,160 Speaker 8: that we don't know how to deal with people who 388 00:21:48,160 --> 00:21:50,440 Speaker 8: were hurting in the way this man was hurting, hurt people, 389 00:21:50,480 --> 00:21:53,159 Speaker 8: hurt people. What happened was horrible, but it becomes an 390 00:21:53,160 --> 00:21:55,560 Speaker 8: opportunity for people to jump on vandwagons and then for 391 00:21:55,640 --> 00:21:58,000 Speaker 8: someone like Charlie Kirk, he should be ashamed of himself. 392 00:21:58,640 --> 00:22:01,359 Speaker 8: No one mentioned the word race, white, black, or anything 393 00:22:01,400 --> 00:22:04,879 Speaker 8: except him. What people mention is the horror of what happened. 394 00:22:04,640 --> 00:22:05,240 Speaker 2: To this young woman. 395 00:22:05,600 --> 00:22:09,000 Speaker 1: By the way, that is a lie. We know that 396 00:22:09,119 --> 00:22:14,520 Speaker 1: he said I got that white girl. Hurt people, hurt people. 397 00:22:14,920 --> 00:22:18,320 Speaker 1: That's the response that you now have is that, oh, well, 398 00:22:18,400 --> 00:22:20,960 Speaker 1: somehow he's the victim, and we need to go to 399 00:22:21,000 --> 00:22:24,520 Speaker 1: where he is. We need to think about him. It 400 00:22:24,600 --> 00:22:28,400 Speaker 1: was black on white crime. That's why the media doesn't 401 00:22:28,400 --> 00:22:31,159 Speaker 1: want to talk about it. It was avoidable because the 402 00:22:31,240 --> 00:22:35,040 Speaker 1: man should have been in prison for all the other 403 00:22:35,160 --> 00:22:39,840 Speaker 1: crimes he had committed. And so here we are, yet 404 00:22:39,880 --> 00:22:43,679 Speaker 1: again with another story they don't want to cover. I 405 00:22:43,720 --> 00:22:46,280 Speaker 1: want to talk to you about my friends at Kirk 406 00:22:46,480 --> 00:22:50,400 Speaker 1: Elliott Precious Metals. Two days ago, I got my new 407 00:22:50,560 --> 00:22:53,480 Speaker 1: order of silver. Now I'm investing in silver right now 408 00:22:53,520 --> 00:22:57,040 Speaker 1: because the pricing on it is amazing and the upside well, 409 00:22:57,080 --> 00:23:01,520 Speaker 1: it's real. 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So let's faithfully steward 441 00:24:51,560 --> 00:24:54,919 Speaker 1: what God has given so you can experience real peace 442 00:24:55,080 --> 00:24:57,080 Speaker 1: now and for generations to come. 443 00:24:57,520 --> 00:25:01,679 Speaker 2: K e PM dot com slash ben. Every once in a. 444 00:25:01,640 --> 00:25:03,760 Speaker 1: While you get to have a really fun conversation with 445 00:25:03,840 --> 00:25:07,879 Speaker 1: someone that does something that's incredibly cool, and today is 446 00:25:07,880 --> 00:25:10,320 Speaker 1: one of those days. Sunny Williams is a name you 447 00:25:10,480 --> 00:25:12,639 Speaker 1: may not remember as I say it, but when I 448 00:25:12,720 --> 00:25:16,200 Speaker 1: remind you of who Sonney is, you're gonna be like, oh, yeah, 449 00:25:16,680 --> 00:25:18,520 Speaker 1: how would you like to be in the US Navy. 450 00:25:18,600 --> 00:25:20,800 Speaker 1: I'd be a captain then retire, And They'm like, all right, 451 00:25:20,840 --> 00:25:23,000 Speaker 1: I'm not done. I'm just gonna, like, you know, become 452 00:25:23,040 --> 00:25:27,160 Speaker 1: a NASA astronaut. That is exactly what happened to Sonny Williams. 453 00:25:27,200 --> 00:25:29,760 Speaker 1: And you may remember she just spent a really long 454 00:25:29,840 --> 00:25:31,200 Speaker 1: time in out of space. 455 00:25:31,000 --> 00:25:34,080 Speaker 2: Like twice as long as she was supposed to be there. Sonny. 456 00:25:34,160 --> 00:25:37,240 Speaker 1: I appreciate you coming on, and there is so much 457 00:25:37,240 --> 00:25:40,480 Speaker 1: to talk about. I gotta ask you first though, when 458 00:25:40,520 --> 00:25:43,000 Speaker 1: you were in space mentally in this last trip, you 459 00:25:43,040 --> 00:25:44,399 Speaker 1: had a mindset, Hey, I'm gonna be there. 460 00:25:44,440 --> 00:25:45,919 Speaker 2: I think it was what four to five months? Is 461 00:25:45,960 --> 00:25:46,320 Speaker 2: that right? 462 00:25:47,800 --> 00:25:51,440 Speaker 9: Actually when we first launched, these were telling us to 463 00:25:51,600 --> 00:25:53,359 Speaker 9: be eight to ten days, but we knew we'd be 464 00:25:53,400 --> 00:25:57,280 Speaker 9: there for a couple months, but didn't really anticipate nine months. 465 00:25:57,560 --> 00:26:00,560 Speaker 1: So what is it like to recalib bread in your 466 00:26:00,600 --> 00:26:03,239 Speaker 1: mind like you've you've done training. I don't know if 467 00:26:03,240 --> 00:26:05,320 Speaker 1: there's any training that can prepare you for eight or 468 00:26:05,400 --> 00:26:07,200 Speaker 1: nine days turning into a couple of weeks, maybe a 469 00:26:07,240 --> 00:26:09,320 Speaker 1: couple of months, and then like, oh, yeah, it's going 470 00:26:09,359 --> 00:26:10,560 Speaker 1: to be the majority of a year. 471 00:26:12,240 --> 00:26:15,680 Speaker 9: Yeah. Ben, it's a great question, and you know, hopefully 472 00:26:15,960 --> 00:26:19,119 Speaker 9: you know. Butch and I have provided a little bit 473 00:26:19,160 --> 00:26:23,280 Speaker 9: of a roadmap for other astronauts as well as Frank Rubio, 474 00:26:23,359 --> 00:26:26,959 Speaker 9: who before us actually spent an unexpected year in space, 475 00:26:27,240 --> 00:26:31,320 Speaker 9: uh translating from six months. So I think it's just 476 00:26:31,400 --> 00:26:34,600 Speaker 9: a matter of you know, mindset change. Okay, you know, 477 00:26:34,720 --> 00:26:36,600 Speaker 9: this is what we train for us, what we have 478 00:26:37,040 --> 00:26:39,360 Speaker 9: you know, done in the past in our time here 479 00:26:39,400 --> 00:26:42,879 Speaker 9: at NASA, and we can continue on. Now. I'm not 480 00:26:42,920 --> 00:26:45,119 Speaker 9: going to say my all my clothes were there and 481 00:26:45,160 --> 00:26:47,040 Speaker 9: I had to borrow a couple pairs of shorts from 482 00:26:47,040 --> 00:26:49,080 Speaker 9: a friend. But that's what we do. We help each 483 00:26:49,080 --> 00:26:51,600 Speaker 9: other out when we're up there, and they were the 484 00:26:51,800 --> 00:26:53,920 Speaker 9: folks on Crew eight were gracious enough to give us 485 00:26:54,119 --> 00:26:56,280 Speaker 9: some of the really goodies of the food to make 486 00:26:56,320 --> 00:26:58,639 Speaker 9: our stay great. And you know, that's what we do, 487 00:26:58,680 --> 00:26:59,320 Speaker 9: We work together. 488 00:27:00,160 --> 00:27:02,159 Speaker 2: How many people were up there when you're there for 489 00:27:02,200 --> 00:27:03,119 Speaker 2: that nine months? 490 00:27:03,560 --> 00:27:05,720 Speaker 9: Oh so it gets confusing, So I'm going to have 491 00:27:05,720 --> 00:27:07,480 Speaker 9: to think about it for a second. So when we 492 00:27:07,480 --> 00:27:09,240 Speaker 9: were up there, when we first got there, there was 493 00:27:09,280 --> 00:27:14,080 Speaker 9: three SOYUS crew members and four SpaceX Dragon members, so seven, eight, nine, 494 00:27:14,200 --> 00:27:17,199 Speaker 9: nine of us all together. Then we had at one 495 00:27:17,200 --> 00:27:20,239 Speaker 9: point in time a second SOYUZ up, so that was 496 00:27:20,320 --> 00:27:23,600 Speaker 9: twelve and then they left and so that was nine again, 497 00:27:23,680 --> 00:27:26,760 Speaker 9: and then then we had another dragon come up with two, 498 00:27:26,840 --> 00:27:29,520 Speaker 9: so that was back down to oh gosh, now I'm 499 00:27:29,520 --> 00:27:32,479 Speaker 9: getting confused, four, five, six, seven, eight, nine, ten, eleven, eleven. 500 00:27:33,119 --> 00:27:35,240 Speaker 9: So it was it was a little bit of a 501 00:27:35,320 --> 00:27:37,720 Speaker 9: revolving door, which is great because you see new crew 502 00:27:37,720 --> 00:27:42,080 Speaker 9: members periodically as these spacecraft trained out. But it was 503 00:27:42,480 --> 00:27:45,720 Speaker 9: a little bit sad to see people who you thought 504 00:27:45,760 --> 00:27:48,680 Speaker 9: you'd be on the ground first them leave and then 505 00:27:48,800 --> 00:27:52,080 Speaker 9: us leave later. So not necessarily sad, I shouldn't say 506 00:27:52,080 --> 00:27:54,520 Speaker 9: it that way. It was just a little bit different 507 00:27:54,600 --> 00:27:57,720 Speaker 9: plan than we had originally anticipated. 508 00:27:58,280 --> 00:28:00,119 Speaker 1: So when you when you think about the plan and 509 00:28:00,119 --> 00:28:01,879 Speaker 1: you're like, all right, I'm seeing people that are now 510 00:28:01,920 --> 00:28:04,600 Speaker 1: coming and going. There was a lot of politics involved 511 00:28:04,680 --> 00:28:07,960 Speaker 1: back on Earth of who's supposed to pick you up, 512 00:28:08,000 --> 00:28:10,639 Speaker 1: and then there's contingency plans of like who's going to 513 00:28:10,680 --> 00:28:14,119 Speaker 1: come in essence rescue you guys, But you're seeing others leave. 514 00:28:14,640 --> 00:28:17,320 Speaker 1: How hard was it mentally to just stay locked in 515 00:28:17,320 --> 00:28:19,760 Speaker 1: in that scenario because I'm assuming you didn't want to 516 00:28:19,760 --> 00:28:22,440 Speaker 1: get involved in the in the politics, But the reality 517 00:28:22,480 --> 00:28:24,320 Speaker 1: is when I if I sell someone leave, dude, I 518 00:28:24,359 --> 00:28:25,320 Speaker 1: really want to be on that. 519 00:28:25,640 --> 00:28:28,320 Speaker 9: I want to get out of here, So you know, 520 00:28:28,440 --> 00:28:30,320 Speaker 9: there's there's a couple aspects of that. You know, there 521 00:28:30,359 --> 00:28:32,200 Speaker 9: was a lot of really cool things that are going 522 00:28:32,200 --> 00:28:35,280 Speaker 9: on in the space station. So for me, I honestly 523 00:28:35,359 --> 00:28:38,280 Speaker 9: didn't mind being up there for an extended duration, like 524 00:28:38,320 --> 00:28:41,440 Speaker 9: a normal duration, long duration mission, because there's all sorts 525 00:28:41,480 --> 00:28:43,800 Speaker 9: of cool science to do. There's fun maintenance to do, 526 00:28:43,880 --> 00:28:46,320 Speaker 9: I like, you know, using tools, and there's you know, 527 00:28:46,400 --> 00:28:49,520 Speaker 9: space walks occurred also while we're up there, so all 528 00:28:49,560 --> 00:28:53,920 Speaker 9: that's pretty great. So having those opportunities was fine. Absolutely 529 00:28:53,960 --> 00:28:55,880 Speaker 9: didn't want to get in the politics of it all, 530 00:28:56,560 --> 00:29:00,720 Speaker 9: but absolutely wanted a good ride home. You know, we 531 00:29:00,720 --> 00:29:03,760 Speaker 9: were up there with Starliner for a while as our lifeboat, 532 00:29:03,800 --> 00:29:06,920 Speaker 9: and it's you know, obviously we all know now that 533 00:29:06,960 --> 00:29:10,000 Speaker 9: you know, the thrusters weren't working as advertised, and you know, 534 00:29:10,680 --> 00:29:12,880 Speaker 9: if you're not one hundred percent sure if that's the 535 00:29:13,160 --> 00:29:15,520 Speaker 9: you know that everything was going to work, why risk 536 00:29:15,560 --> 00:29:17,560 Speaker 9: your life coming home in that when you potentially have 537 00:29:17,600 --> 00:29:21,520 Speaker 9: another ride. I think another you know, compromised way to 538 00:29:21,520 --> 00:29:25,000 Speaker 9: get home beside for Starliner was on Dragon initially because 539 00:29:25,040 --> 00:29:28,120 Speaker 9: we didn't have dedicated seats. I think the happiest day 540 00:29:28,440 --> 00:29:31,440 Speaker 9: of my time up there was when crew nine showed 541 00:29:31,520 --> 00:29:33,960 Speaker 9: up with two empty seats and two dedicated space suits 542 00:29:34,000 --> 00:29:35,840 Speaker 9: for us, and then we knew we really had the 543 00:29:35,920 --> 00:29:40,280 Speaker 9: right combination to get home in an emergency, because you know, 544 00:29:40,320 --> 00:29:42,960 Speaker 9: these spacecraft are our lifeboat in case anything happens to 545 00:29:43,000 --> 00:29:46,360 Speaker 9: the International Space Station. So you know, that day was great. 546 00:29:46,480 --> 00:29:48,880 Speaker 9: So you know, I was happy to wait for a 547 00:29:48,920 --> 00:29:51,720 Speaker 9: proper seat to re enter into the atmosphere. It's no joke. 548 00:29:51,760 --> 00:29:54,200 Speaker 9: When you're coming into the atmosphere and you know around 549 00:29:54,240 --> 00:29:56,840 Speaker 9: the capsules, you know, thousands of degrees, you want to 550 00:29:56,880 --> 00:29:58,520 Speaker 9: make sure that you're in the right place at the 551 00:29:58,600 --> 00:30:00,920 Speaker 9: right time and have the right ride home. 552 00:30:01,520 --> 00:30:03,120 Speaker 2: What was the toll on your body? 553 00:30:03,200 --> 00:30:07,360 Speaker 1: I mean, nine months in outer space with weightlessness, I'm 554 00:30:07,400 --> 00:30:10,200 Speaker 1: assuming that was really weird when you got back to 555 00:30:10,240 --> 00:30:12,160 Speaker 1: Earth having to try to figure out just how to 556 00:30:12,200 --> 00:30:14,440 Speaker 1: walk and get out of everything and get back to normal. 557 00:30:14,440 --> 00:30:15,240 Speaker 2: How long did that take? 558 00:30:15,960 --> 00:30:18,600 Speaker 9: Yeah? Absolutely? You know, you know, Butcher and I are 559 00:30:18,600 --> 00:30:20,840 Speaker 9: both we like working out. We see each other in 560 00:30:20,840 --> 00:30:23,479 Speaker 9: the gym in the morning, and we both hit it 561 00:30:23,480 --> 00:30:25,840 Speaker 9: hard when we got there, even knowing we are only 562 00:30:25,920 --> 00:30:27,840 Speaker 9: potentially only gonna be there for you know, a week 563 00:30:27,960 --> 00:30:32,280 Speaker 9: or so. We got special permission to use the exercise equipment. Generally, 564 00:30:32,280 --> 00:30:34,600 Speaker 9: when people aren't there for a short amount of time, 565 00:30:34,640 --> 00:30:37,040 Speaker 9: they don't use the equipment, and we jumped on it 566 00:30:37,080 --> 00:30:39,880 Speaker 9: the first day we were there, and we were pretty 567 00:30:39,960 --> 00:30:43,280 Speaker 9: dedicated the whole time through to make sure we were 568 00:30:43,280 --> 00:30:45,200 Speaker 9: in as good as shape as possible. But you're right, 569 00:30:45,280 --> 00:30:47,360 Speaker 9: it does take a toll. Nine months is a long 570 00:30:47,440 --> 00:30:51,400 Speaker 9: time to make sure your bone density, your muscle mass days. Intact, 571 00:30:52,000 --> 00:30:55,400 Speaker 9: we needed to work out every single day getting back. 572 00:30:55,480 --> 00:30:57,560 Speaker 9: You know, it's the big muscles are fine because we 573 00:30:57,640 --> 00:31:00,120 Speaker 9: worked out. It's all the little small muscles like the 574 00:31:00,120 --> 00:31:01,920 Speaker 9: one that holds your heads up right, the one that 575 00:31:02,200 --> 00:31:04,520 Speaker 9: allows you to balance on one foot that we really 576 00:31:04,600 --> 00:31:08,360 Speaker 9: needed to re engage with that agility and flexibility and 577 00:31:08,440 --> 00:31:11,240 Speaker 9: just getting back some of the stamina that we probably 578 00:31:11,360 --> 00:31:12,840 Speaker 9: you know that we both have lost while we were 579 00:31:12,880 --> 00:31:15,080 Speaker 9: up there. So you know, it's about a thirty day 580 00:31:15,080 --> 00:31:18,280 Speaker 9: to forty five day process. And still working on my 581 00:31:18,360 --> 00:31:21,120 Speaker 9: fast twitch muscles. I'm a little bit slow. Absolutely not 582 00:31:21,280 --> 00:31:23,800 Speaker 9: contributing that to age, only to space flight. 583 00:31:24,640 --> 00:31:30,320 Speaker 1: Yeah, no, it's incredible. Let's talk about what's really cool now. 584 00:31:30,440 --> 00:31:33,320 Speaker 1: There is an initiative to go back to the moon. 585 00:31:33,960 --> 00:31:36,760 Speaker 1: Part of this, I think is going to inspire especially 586 00:31:36,840 --> 00:31:40,120 Speaker 1: young people, that this is something that we can do. 587 00:31:40,160 --> 00:31:42,920 Speaker 1: It's obtainable. Why has it taking us so long? And 588 00:31:43,840 --> 00:31:46,680 Speaker 1: when is this plan to actually go back to the Moon. 589 00:31:47,400 --> 00:31:50,800 Speaker 9: Yeah? Absolutely, this is really exciting times. You know. I 590 00:31:50,840 --> 00:31:53,200 Speaker 9: think what was great was we've had the International Space 591 00:31:53,240 --> 00:31:55,400 Speaker 9: Station to try out a whole bunch of processes to 592 00:31:55,480 --> 00:31:57,600 Speaker 9: understand what happens to people when they're in space for 593 00:31:57,640 --> 00:31:59,680 Speaker 9: a long duration, so we can get ready to go 594 00:31:59,720 --> 00:32:03,000 Speaker 9: back to in the moon smarter and you know, in 595 00:32:03,360 --> 00:32:05,959 Speaker 9: a more safe way. So we are actually doing some 596 00:32:06,000 --> 00:32:09,080 Speaker 9: more challenging things by going to the poll on, going 597 00:32:09,120 --> 00:32:11,280 Speaker 9: to the south pole of the Moon. That's our landing 598 00:32:11,280 --> 00:32:14,360 Speaker 9: spot where we want to go just for you know, 599 00:32:14,440 --> 00:32:18,280 Speaker 9: resources sunlight while we're while we're there, and maybe build 600 00:32:18,280 --> 00:32:20,800 Speaker 9: a station like we built in space. So we've used 601 00:32:20,840 --> 00:32:23,440 Speaker 9: you know, the space station, Internet space Station as a 602 00:32:23,480 --> 00:32:25,520 Speaker 9: testing ground for all of these things to get ready 603 00:32:25,520 --> 00:32:28,440 Speaker 9: to go. Also over these you know, last couple decades, 604 00:32:28,480 --> 00:32:32,960 Speaker 9: I think everybody knows additive manufacturing, different types of welding, 605 00:32:33,320 --> 00:32:36,280 Speaker 9: all of this has all this production has allowed us 606 00:32:36,280 --> 00:32:39,800 Speaker 9: to build spacecraft which are amazing. So we're looking forward 607 00:32:39,840 --> 00:32:43,000 Speaker 9: to launching the Orion capsule this fault. I mean this 608 00:32:43,160 --> 00:32:47,560 Speaker 9: next year rather with UH with four crew members on 609 00:32:47,600 --> 00:32:50,200 Speaker 9: the Space Launch System rocket, they'll go around the move 610 00:32:50,240 --> 00:32:53,840 Speaker 9: to to prove all of our guidance, navigation, control systems 611 00:32:53,840 --> 00:32:57,560 Speaker 9: and everything that we've now modernized works quite well, and 612 00:32:57,680 --> 00:33:00,800 Speaker 9: we can head to the right place. Check out the 613 00:33:00,800 --> 00:33:03,040 Speaker 9: heat shield as we come back into the atmosphere much 614 00:33:03,040 --> 00:33:05,840 Speaker 9: hotter than from lower orbit where we were want to 615 00:33:05,840 --> 00:33:07,920 Speaker 9: make sure that all works right. And then we're going 616 00:33:07,960 --> 00:33:10,520 Speaker 9: to be ready to work with more of our commercial 617 00:33:10,520 --> 00:33:13,440 Speaker 9: partners to get ready to land on the mood hopefully 618 00:33:13,600 --> 00:33:17,000 Speaker 9: Artemis three, Artemis four in the next couple of years. 619 00:33:17,360 --> 00:33:19,720 Speaker 1: So it's it's you're saying this could happen in the 620 00:33:19,760 --> 00:33:22,520 Speaker 1: next couple of years that we could literally have and 621 00:33:22,840 --> 00:33:25,400 Speaker 1: an HD color people landing on the Moon and us 622 00:33:25,400 --> 00:33:26,080 Speaker 1: getting to see it. 623 00:33:26,720 --> 00:33:28,800 Speaker 9: I think, so yeah, And this next year we'll have 624 00:33:29,040 --> 00:33:31,240 Speaker 9: you know, Artemis two, and then following probably two years 625 00:33:31,240 --> 00:33:34,640 Speaker 9: after that, Artemis three, and then follow on people you know, 626 00:33:34,640 --> 00:33:37,880 Speaker 9: footsteps back on the moon pretty awesome, and you know, 627 00:33:37,920 --> 00:33:40,840 Speaker 9: there's so much to do, it's really going to be busy. 628 00:33:40,840 --> 00:33:43,920 Speaker 9: So hopefully we've inspired a bunch of you know, high 629 00:33:43,920 --> 00:33:47,040 Speaker 9: school university kids to want to get involved. Their time 630 00:33:47,160 --> 00:33:48,720 Speaker 9: is in the is prime right now? 631 00:33:49,440 --> 00:33:51,720 Speaker 1: Final question, any chance you're going to be walking on 632 00:33:51,760 --> 00:33:53,479 Speaker 1: the moon? And how competitive is it to be one 633 00:33:53,520 --> 00:33:53,840 Speaker 1: of those it. 634 00:33:53,880 --> 00:33:54,440 Speaker 2: Gets to do it? 635 00:33:55,280 --> 00:33:57,520 Speaker 9: Yeah, I think it's pretty. 636 00:33:57,120 --> 00:33:58,920 Speaker 1: To Tanya Harding in the leg, you know, to just 637 00:33:59,000 --> 00:34:00,800 Speaker 1: get get at the front of that line. 638 00:34:01,080 --> 00:34:04,200 Speaker 9: Hey, you know I borrowed shorts from a buddy. We're 639 00:34:04,240 --> 00:34:07,360 Speaker 9: a big team effort here. I'm just happy to see 640 00:34:07,360 --> 00:34:11,520 Speaker 9: the next generation of astronauts put their foot in history 641 00:34:11,800 --> 00:34:14,279 Speaker 9: and walk on the Moon. I'll be there supporting them, 642 00:34:14,520 --> 00:34:17,239 Speaker 9: working on some stuff for the rest of the year 643 00:34:17,239 --> 00:34:20,240 Speaker 9: to get them ready to go. So we're making it happen. 644 00:34:20,480 --> 00:34:22,880 Speaker 9: I would love to go if they said. 645 00:34:22,760 --> 00:34:25,160 Speaker 1: No one's been named as the unassuming, right, Has anyone 646 00:34:25,200 --> 00:34:26,400 Speaker 1: been named yet for that mission? 647 00:34:26,480 --> 00:34:26,640 Speaker 2: Or No? 648 00:34:27,440 --> 00:34:29,360 Speaker 9: Not for the landing, yet, not for artemistry. 649 00:34:29,400 --> 00:34:30,200 Speaker 2: Yet I love it. 650 00:34:30,280 --> 00:34:32,840 Speaker 1: That's see, that's why she's training folks. She can be PC, 651 00:34:33,000 --> 00:34:35,239 Speaker 1: but we all know she wants to get on the moon. 652 00:34:35,320 --> 00:34:37,120 Speaker 2: I would if I was you. That's the Holy Grail, 653 00:34:37,239 --> 00:34:37,520 Speaker 2: is it not? 654 00:34:38,840 --> 00:34:39,040 Speaker 7: Oh? 655 00:34:39,120 --> 00:34:41,120 Speaker 9: Yeah, of course of course it is. But I think 656 00:34:41,160 --> 00:34:42,120 Speaker 9: my husband would kill me. 657 00:34:42,920 --> 00:34:45,480 Speaker 1: That's you know what you can. We can work through that. 658 00:34:45,480 --> 00:34:49,920 Speaker 1: There's counselors for that. I appreciate you coming on and sunny, 659 00:34:50,040 --> 00:34:52,120 Speaker 1: just and talking. By the way, if you're if you've 660 00:34:52,120 --> 00:34:54,600 Speaker 1: got kids, grandkids out there listening. If you're on social media, 661 00:34:55,200 --> 00:34:58,040 Speaker 1: really cool social media page, so you can see the 662 00:34:58,040 --> 00:35:01,440 Speaker 1: Instagram page I follow, It's awesome and you can inspire others. 663 00:35:01,600 --> 00:35:05,160 Speaker 1: This is exciting news for NASA, it's exciting news for 664 00:35:05,239 --> 00:35:06,680 Speaker 1: space travel and going to the moon. 665 00:35:06,920 --> 00:35:07,240 Speaker 2: Sonny. 666 00:35:07,320 --> 00:35:10,480 Speaker 1: We appreciate your time and congratulations on unbelievable career. 667 00:35:11,160 --> 00:35:12,600 Speaker 9: Absolutely, Ben, thank you so much. 668 00:35:13,360 --> 00:35:16,200 Speaker 1: Don't forget share this podcast please with your family and 669 00:35:16,280 --> 00:35:19,479 Speaker 1: your friends where whoever they are, and I will see 670 00:35:19,480 --> 00:35:21,080 Speaker 1: you back here tomorrow