1 00:00:01,000 --> 00:00:15,560 Speaker 1: You are entering the freedom hunt. Federal judges are having 2 00:00:15,600 --> 00:00:19,279 Speaker 1: a call because they're so concerned about Trump. It seems 3 00:00:19,320 --> 00:00:21,960 Speaker 1: we'll get into that and also a reminder of what 4 00:00:22,000 --> 00:00:25,720 Speaker 1: the Department of Justice was like under the Obama administration. 5 00:00:25,960 --> 00:00:30,160 Speaker 1: Mike Bloomberg qualifies with the VATA debate tomorrow. Who's funding 6 00:00:30,320 --> 00:00:34,000 Speaker 1: the socialist The answer may surprise you, and do long 7 00:00:34,120 --> 00:00:38,080 Speaker 1: term criminal offenders have different brain structures? Also, can food 8 00:00:38,120 --> 00:00:42,479 Speaker 1: help battle depression? Stack show coming up? This is the 9 00:00:42,560 --> 00:00:45,680 Speaker 1: bus Sexton Show or the mission or mission is to 10 00:00:45,720 --> 00:00:52,440 Speaker 1: decode what really matters with actionable intelligence. Make no mistake America, 11 00:00:53,040 --> 00:00:56,440 Speaker 1: Bring here a great American again the buck Sexton Show begins. 12 00:00:58,720 --> 00:01:05,640 Speaker 1: Remember the animidty to look at Bill Barr and what 13 00:01:05,840 --> 00:01:09,959 Speaker 1: he's done, and you look at the fact that he 14 00:01:10,120 --> 00:01:14,039 Speaker 1: has started a search and destroy mission against all of 15 00:01:14,080 --> 00:01:19,960 Speaker 1: the president's political perceived political opponents that the president concocted 16 00:01:20,040 --> 00:01:23,840 Speaker 1: when he talked about Barack Obama tapping the phones at 17 00:01:23,880 --> 00:01:27,760 Speaker 1: Trump Tower back in March of twenty seventeen. And he 18 00:01:27,920 --> 00:01:32,920 Speaker 1: is chasing down every conspiracy theory that the President is 19 00:01:32,959 --> 00:01:38,240 Speaker 1: putting forward. At the same time, and more disturbingly, Bill 20 00:01:38,280 --> 00:01:44,240 Speaker 1: Barr is providing aid and comfort to the president's allies. 21 00:01:45,319 --> 00:01:48,160 Speaker 1: Welcome to the Buck Sexton Show. That was a morning 22 00:01:48,280 --> 00:01:55,240 Speaker 1: Joe as dishonest and stupid as always on what's going 23 00:01:55,280 --> 00:01:59,240 Speaker 1: on right now with the Department of Justice. They're all 24 00:01:59,280 --> 00:02:04,760 Speaker 1: now switching from a narrative of the DOJ is sacro saying, 25 00:02:05,000 --> 00:02:09,320 Speaker 1: how dare anyone ever question its ability to be fair 26 00:02:09,400 --> 00:02:13,440 Speaker 1: and impartial and highly political cases, to now that you 27 00:02:13,520 --> 00:02:16,919 Speaker 1: have an attorney general who understands what's really going on, 28 00:02:17,040 --> 00:02:21,040 Speaker 1: who has not, because of public pressure, been sidelined as 29 00:02:21,200 --> 00:02:23,880 Speaker 1: was the case with Attorney General Jeff Sessions. Now that 30 00:02:23,919 --> 00:02:27,040 Speaker 1: you have an attorney general in bar who wants to 31 00:02:27,080 --> 00:02:31,040 Speaker 1: get answers, and these should be answers that everybody wants. 32 00:02:31,160 --> 00:02:36,400 Speaker 1: Right somehow, this country has been lulled into a false 33 00:02:36,440 --> 00:02:40,919 Speaker 1: sense of normalcy when it comes to a two plus 34 00:02:41,040 --> 00:02:45,640 Speaker 1: year long investigation of a president, a sitting president, for 35 00:02:47,200 --> 00:02:51,720 Speaker 1: betraying his country and cheating in an election and working 36 00:02:51,760 --> 00:02:55,640 Speaker 1: with Russia to do so, and it was all a lie, 37 00:02:56,240 --> 00:03:02,239 Speaker 1: never happened, didn't occur. A special council was convened to 38 00:03:02,240 --> 00:03:05,600 Speaker 1: look into something that did not happen, that there was 39 00:03:05,639 --> 00:03:09,440 Speaker 1: no evidence of happening, and that was all effectively a 40 00:03:09,560 --> 00:03:13,720 Speaker 1: conspiracy theory, a conspiracy theory that overtook the media, that 41 00:03:13,840 --> 00:03:16,120 Speaker 1: ran its way all the way up through the intelligence 42 00:03:16,120 --> 00:03:19,160 Speaker 1: community and up the Department of Justice chain of command. 43 00:03:21,520 --> 00:03:23,200 Speaker 1: And now some of us would like answers as to 44 00:03:23,240 --> 00:03:30,080 Speaker 1: how something so colossally stupid and wrong and unfair could happen. 45 00:03:31,000 --> 00:03:34,320 Speaker 1: And what are the Libs doing? And the Libs and 46 00:03:34,360 --> 00:03:36,880 Speaker 1: their lackeys, right, the Libs and the people that do 47 00:03:36,920 --> 00:03:39,840 Speaker 1: whatever they say for the right amount of pay in 48 00:03:39,920 --> 00:03:44,120 Speaker 1: the Libs employ people like Joe Scarborough, among others. I 49 00:03:44,160 --> 00:03:46,880 Speaker 1: don't know how Scarborough honestly gets up in the morning 50 00:03:46,880 --> 00:03:49,920 Speaker 1: and does this. He's already plenty rich. He's married to 51 00:03:49,960 --> 00:03:52,760 Speaker 1: a rich lady. They've got plenty of money. What's the problem. 52 00:03:52,800 --> 00:03:55,800 Speaker 1: Why why do the dance? Oh, that's right, it's personal. 53 00:03:56,600 --> 00:03:59,320 Speaker 1: He was a big booster of Donald Trump's He was 54 00:03:59,360 --> 00:04:03,160 Speaker 1: a big fan of Trump's, as was Miss Bridginsky, his 55 00:04:03,280 --> 00:04:07,320 Speaker 1: now wife. After they left their respective families after hosting 56 00:04:07,320 --> 00:04:10,400 Speaker 1: a show together for a while on TV, they have 57 00:04:10,520 --> 00:04:12,640 Speaker 1: decided that now Trump is the enemy, and so they 58 00:04:12,720 --> 00:04:16,360 Speaker 1: feed a left wing audience at MSNBC a steady diet 59 00:04:16,360 --> 00:04:21,520 Speaker 1: of Trump derangement syndrome gruel every morning, but they do 60 00:04:21,600 --> 00:04:23,520 Speaker 1: it with this air of oh, where the cool kids. 61 00:04:23,520 --> 00:04:26,720 Speaker 1: We're the cool kids. We have all the really connected 62 00:04:27,040 --> 00:04:30,359 Speaker 1: Wall Street insiders and CEOs come sit at our table, 63 00:04:30,520 --> 00:04:34,360 Speaker 1: and people from respected news outlets like The New Yorker 64 00:04:34,440 --> 00:04:36,240 Speaker 1: and the New York Times they'll sit with us too, 65 00:04:37,800 --> 00:04:40,960 Speaker 1: And the show is an intellectual abomination. I mean, just 66 00:04:41,000 --> 00:04:44,159 Speaker 1: start with that. But this is just one of many 67 00:04:44,200 --> 00:04:47,359 Speaker 1: efforts out there right now to make sure that whatever 68 00:04:47,520 --> 00:04:51,800 Speaker 1: truth Bill Barr is able to find about this Department 69 00:04:51,800 --> 00:04:55,880 Speaker 1: of Justice sham. I mean, it's really wrong what has 70 00:04:55,880 --> 00:05:00,080 Speaker 1: gone on here. It's it's a massive political scandal, and 71 00:05:00,120 --> 00:05:01,880 Speaker 1: we should be getting answers. And there have been some 72 00:05:01,920 --> 00:05:05,120 Speaker 1: of these probes. And keep in mind that the the 73 00:05:05,200 --> 00:05:08,640 Speaker 1: initial impetus here for the investigation of Donald Trump by 74 00:05:08,680 --> 00:05:10,680 Speaker 1: the Department of Justice was driven by people that we 75 00:05:10,760 --> 00:05:14,080 Speaker 1: now know to be partisans, that we know to be 76 00:05:14,160 --> 00:05:16,640 Speaker 1: deep state operatives who were working behind the scenes and 77 00:05:16,720 --> 00:05:21,040 Speaker 1: abusing their power and discretion for political ends. Comy Bar, 78 00:05:21,279 --> 00:05:26,320 Speaker 1: I'm sorry, Comy McCabe, struck page, go down the list. 79 00:05:27,760 --> 00:05:31,240 Speaker 1: These are all individuals that we've seen through their text messages, 80 00:05:31,240 --> 00:05:35,320 Speaker 1: through their actions once they've left government employee. We know 81 00:05:35,360 --> 00:05:37,400 Speaker 1: who they really are. Now we have a much better 82 00:05:37,440 --> 00:05:42,160 Speaker 1: sense of what they're really all about. And it looks bad. 83 00:05:42,480 --> 00:05:44,240 Speaker 1: All of it looks bad. It looks like these are 84 00:05:44,279 --> 00:05:47,520 Speaker 1: people that really hated Trump, that hated what Trump represented 85 00:05:47,560 --> 00:05:49,599 Speaker 1: more than anything else, which was a challenge to their 86 00:05:49,760 --> 00:05:54,560 Speaker 1: sense of superiority. Trump was not supposed to be able 87 00:05:54,560 --> 00:05:56,080 Speaker 1: to do these things. And there are all these people 88 00:05:56,080 --> 00:05:59,880 Speaker 1: who had built careers, had burrowed themselves into the existing 89 00:06:00,080 --> 00:06:04,760 Speaker 1: power structure, especially in DC and especially in the Democrat 90 00:06:04,839 --> 00:06:08,280 Speaker 1: corporate media. And Trump comes along and does not show 91 00:06:08,279 --> 00:06:10,520 Speaker 1: them the deference that they demand, does not show them 92 00:06:10,600 --> 00:06:14,440 Speaker 1: respect that they think they're due, and they go completely apoplectic. 93 00:06:14,440 --> 00:06:17,080 Speaker 1: I mean they lose, They lose it on him and 94 00:06:17,160 --> 00:06:19,720 Speaker 1: try to try to find ways to end his presidency 95 00:06:19,720 --> 00:06:21,960 Speaker 1: and to take him down. Now you've got an Attorney 96 00:06:21,960 --> 00:06:24,880 Speaker 1: General bar looking into this, and already they shift their 97 00:06:24,960 --> 00:06:29,240 Speaker 1: narrative to bar Is doing the dirty work. Well, Muller 98 00:06:29,920 --> 00:06:33,080 Speaker 1: was able to find no Russia collusion. And then the 99 00:06:33,160 --> 00:06:36,159 Speaker 1: Muller team, a bunch of Democrat prosecutors as we know, 100 00:06:36,680 --> 00:06:38,880 Speaker 1: came up with this. Well, here are ten counts of 101 00:06:38,920 --> 00:06:43,440 Speaker 1: possible obstruction. We can't say their obstruction though, just as 102 00:06:43,520 --> 00:06:46,760 Speaker 1: slimy and underhanded a lawyer's trick as you could ever 103 00:06:46,800 --> 00:06:51,240 Speaker 1: conceive of. But they found nothing on the impetus for that, 104 00:06:51,360 --> 00:06:54,920 Speaker 1: the initial reason for the whole investigation of Russia collusion. 105 00:06:54,920 --> 00:07:01,440 Speaker 1: They got nothing. And it's worth asking how did the 106 00:07:01,480 --> 00:07:05,640 Speaker 1: top echelon of the federal government's bureaucratic apparatus under the 107 00:07:05,680 --> 00:07:08,760 Speaker 1: Obama administration. What did Obama know, by the way, about this. 108 00:07:08,800 --> 00:07:11,720 Speaker 1: We never get answers on that. They never tell us. 109 00:07:12,360 --> 00:07:16,080 Speaker 1: We're never allowed to find that out. Oh, sure, there 110 00:07:16,120 --> 00:07:18,320 Speaker 1: was all this happening, There was the investigation of the 111 00:07:18,360 --> 00:07:23,120 Speaker 1: Republican presidential campaign, and no one ever briefed Obama on it. No, 112 00:07:23,360 --> 00:07:26,280 Speaker 1: of course, not like we're all supposed to be so stupid. 113 00:07:26,400 --> 00:07:29,320 Speaker 1: Joe Scarborough here also does the usual, Oh Trump lied 114 00:07:29,400 --> 00:07:32,840 Speaker 1: about the wire tap on Trump Tower. No, the lie 115 00:07:32,960 --> 00:07:34,920 Speaker 1: was what was told to the FISA court to continue 116 00:07:34,960 --> 00:07:39,200 Speaker 1: to get surveillance under of Carter Page because he was 117 00:07:39,240 --> 00:07:42,720 Speaker 1: a Trump campaign associate. Remember, they weren't surveilling carter Page 118 00:07:42,800 --> 00:07:46,400 Speaker 1: under FISA because they thought the Carter Page had access 119 00:07:46,440 --> 00:07:48,040 Speaker 1: to classify it and was trying to sell it to 120 00:07:48,080 --> 00:07:51,160 Speaker 1: the Russians, that would be a standard espionage investigation. They 121 00:07:51,160 --> 00:07:55,080 Speaker 1: were surveilling Carter Page under the theory that he was 122 00:07:55,120 --> 00:07:57,680 Speaker 1: a go between for the Russians and the Trump campaign. 123 00:07:57,960 --> 00:08:00,920 Speaker 1: He was the centerpiece of collusion. That was the theory, 124 00:08:02,520 --> 00:08:05,680 Speaker 1: a theory that an intelligent human being who speaks to 125 00:08:05,680 --> 00:08:08,640 Speaker 1: Carter Page for five minutes would know, or five seconds, 126 00:08:08,720 --> 00:08:13,080 Speaker 1: quite honestly, would know as absolutely absurd carter Page, who 127 00:08:13,080 --> 00:08:18,040 Speaker 1: would helped the FBI with other intelligence related concerns when 128 00:08:18,080 --> 00:08:20,560 Speaker 1: it comes to Russia. And now they're acting like they 129 00:08:20,680 --> 00:08:23,120 Speaker 1: now they hate information about him to make him appear 130 00:08:23,160 --> 00:08:25,440 Speaker 1: to be a trader to the FISA court. All the 131 00:08:25,480 --> 00:08:29,560 Speaker 1: malfeasance that's been done, the leak of top secret information 132 00:08:29,680 --> 00:08:33,640 Speaker 1: to the Washington Post in order to entrap General Flynn. 133 00:08:33,679 --> 00:08:36,800 Speaker 1: Send over some FBI agents member the Kisliak Flynn phone call. 134 00:08:37,200 --> 00:08:42,680 Speaker 1: Somebody would classified leaked that information. That's a felony. So 135 00:08:42,760 --> 00:08:45,040 Speaker 1: when we look at what's gone on here, there's all 136 00:08:45,080 --> 00:08:49,800 Speaker 1: this bad action. We have what the fourteen serious instances 137 00:08:49,840 --> 00:08:53,439 Speaker 1: of PISA abuse, all these different things, all these different 138 00:08:54,800 --> 00:08:57,840 Speaker 1: areas that you can you can add together and say, well, 139 00:08:57,880 --> 00:09:01,079 Speaker 1: hold on a second, there's more than just smoke. We've 140 00:09:01,080 --> 00:09:04,400 Speaker 1: already seen fire, so shouldn't we find the source of it? 141 00:09:04,679 --> 00:09:06,600 Speaker 1: And that's what the Attorney General is trying to do. 142 00:09:06,720 --> 00:09:10,200 Speaker 1: And this is why you're you're already seeing the narrative 143 00:09:10,280 --> 00:09:14,360 Speaker 1: come up now of people who don't want the truth 144 00:09:15,400 --> 00:09:19,679 Speaker 1: about the plot to undo this presidency, which is what 145 00:09:19,720 --> 00:09:21,760 Speaker 1: it was. It was a plot to under the presidency 146 00:09:21,800 --> 00:09:24,959 Speaker 1: to use the Department of Justice and the lib corporate 147 00:09:25,000 --> 00:09:27,640 Speaker 1: media as a bunch of mouthpieces to get rid of 148 00:09:28,200 --> 00:09:33,440 Speaker 1: President Donald J. Trump. So they're now coming up with 149 00:09:33,480 --> 00:09:37,400 Speaker 1: all these these explanations in advance of any facts. Oh, 150 00:09:37,600 --> 00:09:42,640 Speaker 1: Bar is doing Trump's bidding. Bar is a stooge for 151 00:09:42,720 --> 00:09:44,839 Speaker 1: Donald Trump. As I've told you many times before, this 152 00:09:45,080 --> 00:09:49,600 Speaker 1: just flies in the face of basic facts. This guy's 153 00:09:49,600 --> 00:09:53,080 Speaker 1: already been Attorney general, longstanding career, well respected by anybody 154 00:09:53,080 --> 00:09:57,559 Speaker 1: who knows anything about the DOJ. Donald Trump has turned him. Well, 155 00:09:57,600 --> 00:09:59,560 Speaker 1: it's like Donald Trump is a vampire and he bit 156 00:09:59,600 --> 00:10:03,160 Speaker 1: Attorney General Barr and now he's a Now he does 157 00:10:03,240 --> 00:10:08,320 Speaker 1: whatever Counterracula tells him too. This is insane, but this 158 00:10:08,400 --> 00:10:11,160 Speaker 1: is what they have to do because they recognize that 159 00:10:11,240 --> 00:10:16,480 Speaker 1: eventually more information is going to come out about how duplicitous, 160 00:10:17,200 --> 00:10:22,440 Speaker 1: how false, how stupid, how incompetent, how dishonest. The origins 161 00:10:22,480 --> 00:10:25,120 Speaker 1: of this whole nere that gripped the country for years, 162 00:10:25,960 --> 00:10:30,200 Speaker 1: The primary news story for more than half of President 163 00:10:30,200 --> 00:10:34,560 Speaker 1: Trump's first term in office was about a left wing 164 00:10:34,679 --> 00:10:39,080 Speaker 1: conspiracy theory bought and paid for, literally bought and paid 165 00:10:39,120 --> 00:10:42,560 Speaker 1: for by the Hillary Clinton d n C. In twenty sixteen. 166 00:10:43,280 --> 00:10:46,199 Speaker 1: That was the primary news story in America for almost 167 00:10:46,200 --> 00:10:50,840 Speaker 1: three years, really, and it's still in some ways haunts 168 00:10:50,840 --> 00:10:54,480 Speaker 1: the current administration because it gives the Trump deranged an 169 00:10:54,480 --> 00:10:57,320 Speaker 1: excuse at any point in time for why they hate Trump, 170 00:10:57,360 --> 00:10:59,560 Speaker 1: because they still believe that there was collusion, even though 171 00:10:59,600 --> 00:11:04,280 Speaker 1: there's been proof only to the contrary. So this is 172 00:11:04,280 --> 00:11:07,600 Speaker 1: what gets us now to this two thousand former Department 173 00:11:07,600 --> 00:11:10,400 Speaker 1: of Justice officials who are calling on William Barr to resign. 174 00:11:10,640 --> 00:11:14,360 Speaker 1: These are called Democrats, folks. It's not complicated. This is 175 00:11:14,400 --> 00:11:17,240 Speaker 1: not hard. And the Department of Justice has about one 176 00:11:17,320 --> 00:11:19,120 Speaker 1: hundred and I think it's actually one hundred and twenty 177 00:11:19,120 --> 00:11:22,240 Speaker 1: thousand employees if you add it all in. So to 178 00:11:22,320 --> 00:11:26,000 Speaker 1: have two thousand people who formerly worked at an organization 179 00:11:26,080 --> 00:11:29,920 Speaker 1: that has over one hundred thousand people that doesn't really 180 00:11:29,920 --> 00:11:34,520 Speaker 1: mean anything. Who cares? These are democrats. One of the 181 00:11:34,600 --> 00:11:39,000 Speaker 1: great tricks that the media polls is deciding whose voices 182 00:11:39,040 --> 00:11:44,520 Speaker 1: get magnified as somehow worthy of public public scrutiny, worthy 183 00:11:44,520 --> 00:11:47,719 Speaker 1: of public attention, and who's Don't you know if some 184 00:11:48,000 --> 00:11:50,800 Speaker 1: group of ten doctors comes together, I mean, there's you know, 185 00:11:50,960 --> 00:11:53,640 Speaker 1: hundreds of thousands of mds in the country, right If 186 00:11:53,679 --> 00:11:56,319 Speaker 1: some group of ten doctors comes together, all of a sudden, 187 00:11:56,320 --> 00:11:59,920 Speaker 1: you'll see headlines on ABC News Donald Trump unfit for office? 188 00:12:00,160 --> 00:12:04,000 Speaker 1: Say doctors? Okay, well there's ten of you know, who cares? 189 00:12:04,440 --> 00:12:07,800 Speaker 1: Two thousand former DOJ officials? Who cares? This doesn't matter, 190 00:12:08,040 --> 00:12:10,000 Speaker 1: But the media is running with it. They're running with it. 191 00:12:10,000 --> 00:12:13,680 Speaker 1: It's propaganda, folks. This is shaping. This is shaping the 192 00:12:13,679 --> 00:12:17,319 Speaker 1: battlefield of ideas. Before any facts can come out about 193 00:12:17,360 --> 00:12:22,440 Speaker 1: what bars investigation really Derm's investigation, the US attorney up 194 00:12:22,440 --> 00:12:26,199 Speaker 1: in Connecticut of the Russia collusion origins, will be get 195 00:12:26,240 --> 00:12:30,400 Speaker 1: ahead of it, undermine it, destroy it, erase the credibility 196 00:12:30,440 --> 00:12:33,240 Speaker 1: of anything that Barr is doing before we even know 197 00:12:33,280 --> 00:12:36,560 Speaker 1: what he's done. That's their plan all along. There is 198 00:12:36,960 --> 00:12:41,800 Speaker 1: zero proof of any kind that the Attorney General changed 199 00:12:41,840 --> 00:12:45,440 Speaker 1: his mind about Roger Stone because of what Donald Trump tweeted, 200 00:12:46,320 --> 00:12:48,480 Speaker 1: And anyone who looked objectively at what they were doing 201 00:12:48,520 --> 00:12:51,160 Speaker 1: to Roger Stone would say, this is absurd. But you 202 00:12:51,200 --> 00:12:53,520 Speaker 1: can't have a normal conversation. You can't have a rational 203 00:12:53,559 --> 00:12:56,080 Speaker 1: conversation with a Democrat about this, because they'll also tell 204 00:12:56,120 --> 00:12:58,920 Speaker 1: you that it was normal. I've heard people go on 205 00:12:59,000 --> 00:13:01,319 Speaker 1: I mean, CNN is the word defender, CNN is actually 206 00:13:01,600 --> 00:13:03,880 Speaker 1: has actually become insane as an organization. I mean, they've 207 00:13:03,880 --> 00:13:06,040 Speaker 1: completely lost their minds. They have no sense of balance, 208 00:13:06,080 --> 00:13:09,400 Speaker 1: no sense of responsibility. It's really it's really frightening them. 209 00:13:09,400 --> 00:13:13,760 Speaker 1: It's a grotesque place. But they'll put people on TV 210 00:13:13,960 --> 00:13:16,240 Speaker 1: who are supposed to be law enforcement experts. We will say, well, 211 00:13:16,240 --> 00:13:20,120 Speaker 1: of course, of course, you know, thirty men or so 212 00:13:20,760 --> 00:13:24,200 Speaker 1: with long guns had to go into Roger Stone's home 213 00:13:24,240 --> 00:13:26,560 Speaker 1: at five o'clock in the morning to affect that arrest. 214 00:13:26,640 --> 00:13:30,800 Speaker 1: Of course that was necessary. I don't care what expertise 215 00:13:30,840 --> 00:13:32,760 Speaker 1: someone claims to have or how many years in the job. 216 00:13:33,160 --> 00:13:35,920 Speaker 1: That's an idiotic thing to say. Only a moron would 217 00:13:35,920 --> 00:13:37,520 Speaker 1: say that with a straight face. But there are many 218 00:13:37,520 --> 00:13:39,240 Speaker 1: of them out there, and in fact, they're paid to 219 00:13:39,280 --> 00:13:43,360 Speaker 1: say that with a straight face. At every phase of this, 220 00:13:43,720 --> 00:13:46,480 Speaker 1: what I tell you turns out to be true. Our 221 00:13:46,559 --> 00:13:49,360 Speaker 1: analysis here in the Freedom MHUND is correct, and the 222 00:13:49,520 --> 00:13:53,160 Speaker 1: so called legal and law enforcement and political experts such 223 00:13:53,200 --> 00:13:55,120 Speaker 1: as they are that are going on on CNN and 224 00:13:55,240 --> 00:13:59,240 Speaker 1: MSNBC and ABC in these other places are wrong, wrong, wrong. 225 00:14:00,120 --> 00:14:02,920 Speaker 1: They never change any of their analysis, though, and they 226 00:14:03,000 --> 00:14:05,080 Speaker 1: just either lie to their audience or they move on. 227 00:14:05,360 --> 00:14:10,559 Speaker 1: They ignore, they pretend it didn't happen. They're going to 228 00:14:10,600 --> 00:14:15,080 Speaker 1: have to at some point confront the reality of the 229 00:14:15,200 --> 00:14:17,800 Speaker 1: soft coup against the president of the United States that 230 00:14:17,840 --> 00:14:21,240 Speaker 1: they engineered. And they're really just hoping that the American 231 00:14:21,280 --> 00:14:25,960 Speaker 1: people don't see this before we have to cast ballots 232 00:14:26,120 --> 00:14:29,600 Speaker 1: in the November upcoming November election. That's that's really what 233 00:14:29,760 --> 00:14:32,720 Speaker 1: is at issue here. And that's why I when I 234 00:14:32,720 --> 00:14:37,600 Speaker 1: see this, this this breaking news story about the federal 235 00:14:37,680 --> 00:14:39,880 Speaker 1: judges who are going to have a call. I mean, 236 00:14:39,880 --> 00:14:42,080 Speaker 1: no one had even heard about Oh, let's be honest, 237 00:14:42,120 --> 00:14:47,720 Speaker 1: had anyone heard about the Federal Judges Association or whatever 238 00:14:47,760 --> 00:14:50,520 Speaker 1: the whatever the heck they're calling this thing before today. No, 239 00:14:51,640 --> 00:14:53,480 Speaker 1: but they're going to tell you that this is a 240 00:14:53,520 --> 00:14:56,480 Speaker 1: really big deal. They're going to say that the fact 241 00:14:56,520 --> 00:15:02,720 Speaker 1: that federal judges are expressing concern in this way, here 242 00:15:02,720 --> 00:15:05,680 Speaker 1: we go the Federal Judges Association is called an emergency meeting. 243 00:15:05,680 --> 00:15:09,280 Speaker 1: Oh my gosh. After DOJ intervened in the case of 244 00:15:09,320 --> 00:15:14,120 Speaker 1: Trump ally Roger Stone, DOJ doesn't intervene in this case. 245 00:15:14,560 --> 00:15:18,320 Speaker 1: It's a DOJ case. The people who are prosecuting Stone 246 00:15:18,360 --> 00:15:23,560 Speaker 1: or DJ employees, they are subject to the chain of command, 247 00:15:24,000 --> 00:15:26,600 Speaker 1: the rules and regulations of the DOJ, and they do 248 00:15:26,680 --> 00:15:29,320 Speaker 1: have oversight and there are there are superiors that they 249 00:15:29,360 --> 00:15:34,120 Speaker 1: answer to. And this ultimately comes down to do people 250 00:15:34,160 --> 00:15:36,480 Speaker 1: really think that it was justice to ask for seven 251 00:15:36,480 --> 00:15:38,720 Speaker 1: and nine years for Roger Stone? Well, as we know 252 00:15:39,000 --> 00:15:40,720 Speaker 1: that were one of the guys who was a prosecutor. 253 00:15:40,760 --> 00:15:44,360 Speaker 1: Here was a former senior White House counsel to Obama. 254 00:15:44,560 --> 00:15:46,640 Speaker 1: Does anyone think that that guy's not a huge damn 255 00:15:46,640 --> 00:15:50,200 Speaker 1: a huge lib Come on, and then there's another one 256 00:15:50,200 --> 00:15:54,200 Speaker 1: who prosecuted Papadopoulos. I mean, these people are all Trump 257 00:15:54,480 --> 00:15:58,440 Speaker 1: collusion truthers and they're getting a shot at Roger Stone, 258 00:15:58,560 --> 00:16:00,000 Speaker 1: and we know they just want to run the school 259 00:16:00,000 --> 00:16:03,920 Speaker 1: were board up. The more years associated with anyone who's 260 00:16:03,960 --> 00:16:06,880 Speaker 1: in Trump's orbit. The better because then they can run 261 00:16:06,920 --> 00:16:10,040 Speaker 1: this graphic that I've seen before in MSNBC for stupid people. 262 00:16:10,360 --> 00:16:12,800 Speaker 1: Look at all these prosecutions, Look at all the years 263 00:16:12,800 --> 00:16:16,680 Speaker 1: they're getting in prison. Yeah, it's prosecutions for getting jammed 264 00:16:16,760 --> 00:16:19,400 Speaker 1: up in the course of the sham Russia collusion investigation, 265 00:16:20,200 --> 00:16:22,880 Speaker 1: or people who didn't pay their taxes, which has nothing 266 00:16:22,920 --> 00:16:26,520 Speaker 1: to do with Russia Trump collusion whatsoever. This is the 267 00:16:26,560 --> 00:16:32,920 Speaker 1: old Democrat plan. Investigate, investigate, investigate. The process is the punishment. 268 00:16:33,120 --> 00:16:35,520 Speaker 1: Put people through hell, and even if you don't care 269 00:16:35,560 --> 00:16:37,480 Speaker 1: what you want at the end, you've put them through hell. 270 00:16:37,680 --> 00:16:41,160 Speaker 1: It sends a message to the political opposition. It tells Republicans, 271 00:16:41,160 --> 00:16:44,520 Speaker 1: It tells the GOP Trump supporters, we may not even 272 00:16:44,560 --> 00:16:46,520 Speaker 1: win in the end, but we'll ruin you in the meantime. 273 00:16:47,840 --> 00:16:49,600 Speaker 1: That is what we are up against in this election. 274 00:16:49,640 --> 00:16:52,120 Speaker 1: It's also what Attorney General bar is up against, with 275 00:16:52,240 --> 00:16:56,240 Speaker 1: these former DOJ employees and the corporate Democrat media and 276 00:16:56,280 --> 00:16:58,640 Speaker 1: all the rest of it trying to band together against 277 00:16:58,720 --> 00:17:02,600 Speaker 1: him to call for him. Who resign? I don't think so. 278 00:17:05,080 --> 00:17:08,080 Speaker 1: You're in the freedom hunt. This is the Buck Sexton 279 00:17:08,160 --> 00:17:14,399 Speaker 1: Show podcast and in case you want to know just 280 00:17:14,440 --> 00:17:18,840 Speaker 1: how unhinged things can really get with Democrats. Producer Nick 281 00:17:18,880 --> 00:17:22,120 Speaker 1: just gave me this quote from Maxie Waters. Quote Bill 282 00:17:22,200 --> 00:17:26,040 Speaker 1: Barr should not only be disbarred, but he Donald Trump 283 00:17:26,040 --> 00:17:30,359 Speaker 1: and Roger Stone should be sharing a jail cell. End quote. 284 00:17:32,040 --> 00:17:36,639 Speaker 1: Sitting member of Congress Folks Democrat. I mean, you know 285 00:17:36,760 --> 00:17:39,439 Speaker 1: she couldn't. It would be hard to think of somebody 286 00:17:39,680 --> 00:17:41,480 Speaker 1: who would come up with a dumber comment of any 287 00:17:41,560 --> 00:17:45,959 Speaker 1: kind on the spot than this, max Maxine Waters is 288 00:17:46,119 --> 00:17:48,000 Speaker 1: not somebody that I think anybody would turn to for 289 00:17:48,200 --> 00:17:52,800 Speaker 1: legal analysis, or really any analysis for that matter. But nonetheless, 290 00:17:53,600 --> 00:17:57,639 Speaker 1: sitting member of Congress Democrat, Trump, Stone and Barr should 291 00:17:57,640 --> 00:18:01,800 Speaker 1: all be in prison. And they say that our side 292 00:18:02,440 --> 00:18:07,240 Speaker 1: isn't nice, They say that our side isn't respectful. Thanks 293 00:18:07,280 --> 00:18:10,560 Speaker 1: for listening to The Bus Sesson Show podcasts. Remember to 294 00:18:10,560 --> 00:18:14,240 Speaker 1: subscribe on Apple podcasts, the iHeart Radio app, or wherever 295 00:18:14,320 --> 00:18:19,040 Speaker 1: you get your podcasts. Two thousand former Justice Department officials 296 00:18:19,040 --> 00:18:22,520 Speaker 1: of both political parties calling on Attorney General bar to resign. 297 00:18:22,640 --> 00:18:26,359 Speaker 1: Do you join their calls for his resignation? Absolutely positive. 298 00:18:26,480 --> 00:18:28,920 Speaker 1: This has been the most of the greatest abusive power 299 00:18:29,040 --> 00:18:31,760 Speaker 1: I have ever seen. At the hands of this president 300 00:18:31,800 --> 00:18:35,560 Speaker 1: who has no sense of deceness You're understanding of the 301 00:18:35,680 --> 00:18:40,160 Speaker 1: constitution and bars of facilitating it is beyond my comprehension. 302 00:18:40,520 --> 00:18:42,440 Speaker 1: I've been around a long time, used to chair the 303 00:18:42,560 --> 00:18:47,400 Speaker 1: Judiciary Committee for years. No president, no president, no president, 304 00:18:47,720 --> 00:18:51,240 Speaker 1: has ever intimidated a general attorney general and abusing power 305 00:18:51,240 --> 00:18:56,920 Speaker 1: as much as this man has custom the worst abuse 306 00:18:57,119 --> 00:18:59,719 Speaker 1: of a president. I mean, did you hear the language 307 00:18:59,760 --> 00:19:02,600 Speaker 1: user in there? This is about how many years Roger 308 00:19:02,640 --> 00:19:06,680 Speaker 1: Stone's going to go to federal prison for for what exactly? 309 00:19:07,000 --> 00:19:09,760 Speaker 1: For being disrespectful of a process that shouldn't have been 310 00:19:09,800 --> 00:19:13,840 Speaker 1: going on anyway. See. See, democrats get to they get 311 00:19:13,840 --> 00:19:16,280 Speaker 1: to you know, they get to sick the DJ like 312 00:19:16,280 --> 00:19:18,400 Speaker 1: a bunch of trained attack dogs. They get to use 313 00:19:18,440 --> 00:19:22,200 Speaker 1: the special counsel, They get to use these different bureaucratic 314 00:19:22,280 --> 00:19:27,640 Speaker 1: apparatus pig or apparatus apparatti, I don't know, apparatus apparatuses. 315 00:19:27,680 --> 00:19:31,440 Speaker 1: How about well go with that one. My grammar school 316 00:19:31,520 --> 00:19:34,800 Speaker 1: Latin is failing me here. But they get to use 317 00:19:34,840 --> 00:19:39,320 Speaker 1: all these different institutions within the bureaucratic system as weapons 318 00:19:39,320 --> 00:19:41,320 Speaker 1: against Trump. And then when it comes out that they're 319 00:19:41,400 --> 00:19:44,400 Speaker 1: using those weapons against Trump and his associates and people 320 00:19:44,400 --> 00:19:49,320 Speaker 1: around him improperly, unfairly, illicitly. Oh well, we shouldn't have 321 00:19:49,359 --> 00:19:51,240 Speaker 1: been doing in the first place, but you shouldn't have 322 00:19:51,800 --> 00:19:55,960 Speaker 1: done what you did when we were investigating you. And 323 00:19:56,000 --> 00:19:59,360 Speaker 1: that then brings me to one of my favorite irony 324 00:19:59,440 --> 00:20:04,199 Speaker 1: moments in recent days. Although the irony in politics lately 325 00:20:04,280 --> 00:20:08,320 Speaker 1: has been coming fast and furious, one of my favorite 326 00:20:08,359 --> 00:20:12,040 Speaker 1: irony moments is that Andrew McCabe, the acting FBI director, 327 00:20:12,040 --> 00:20:15,520 Speaker 1: who will face no federal criminal charges for what he 328 00:20:15,600 --> 00:20:19,600 Speaker 1: has done, no federal criminal charges for lying under oath. 329 00:20:19,640 --> 00:20:22,480 Speaker 1: Because if you're a person that democrats like and that 330 00:20:22,560 --> 00:20:27,439 Speaker 1: the media favors, and you come from within the institution, 331 00:20:27,520 --> 00:20:32,359 Speaker 1: that bureaucracy of the government, you know, the unelected fourth 332 00:20:32,359 --> 00:20:35,400 Speaker 1: branch of government, that are civils, that are quote civil servants, 333 00:20:35,400 --> 00:20:41,200 Speaker 1: but really there are overseers, there are bureaucratic overlords. If 334 00:20:41,200 --> 00:20:43,680 Speaker 1: you come from that class, you get away with things, 335 00:20:43,720 --> 00:20:46,520 Speaker 1: You get to lie, you don't have to play by 336 00:20:46,520 --> 00:20:49,240 Speaker 1: the same rules that civilians do. I wonder how many 337 00:20:49,280 --> 00:20:53,200 Speaker 1: times McCabe sat in a room and had to look 338 00:20:53,240 --> 00:20:55,800 Speaker 1: somebody in the eyes whose life he was ruining. For 339 00:20:55,880 --> 00:21:00,440 Speaker 1: a minor process crime lying to the FBI some financial 340 00:21:00,480 --> 00:21:03,320 Speaker 1: impropriety where they could have just asked for restitution with 341 00:21:03,400 --> 00:21:06,320 Speaker 1: the FBI. FBI, you know, one of the problems you 342 00:21:06,359 --> 00:21:09,160 Speaker 1: have with the federal criminal justice system is that there's 343 00:21:09,160 --> 00:21:12,680 Speaker 1: always this pretense that we should treat white collar crimes 344 00:21:12,720 --> 00:21:17,120 Speaker 1: as seriously as other crimes because of any demographic disparity 345 00:21:17,119 --> 00:21:20,880 Speaker 1: and who's committing white collar crimes versus violent crimes, and 346 00:21:20,920 --> 00:21:25,359 Speaker 1: so there's a political pressure to more harshly prosecute sometimes 347 00:21:25,440 --> 00:21:29,760 Speaker 1: white collar criminals just to show that, yeah, that you 348 00:21:29,920 --> 00:21:34,200 Speaker 1: accounting fraud that you committed against the company that cost them, 349 00:21:34,240 --> 00:21:35,879 Speaker 1: you know, one hundred thousand dollars or it could be 350 00:21:35,920 --> 00:21:37,760 Speaker 1: billions of dollars. I know, these things can be vast, 351 00:21:38,000 --> 00:21:41,240 Speaker 1: but you U should go to prison for ten years 352 00:21:41,320 --> 00:21:43,440 Speaker 1: for that man. But then we find out that people 353 00:21:43,480 --> 00:21:45,680 Speaker 1: that walk up to someone on the street and slash 354 00:21:45,720 --> 00:21:47,639 Speaker 1: their face with a razor blade, which but just just 355 00:21:47,720 --> 00:21:51,200 Speaker 1: here in New York on Valentine's Day, right after Valentine's 356 00:21:51,280 --> 00:21:57,200 Speaker 1: Day date, a French tourist was walking around Harlem and 357 00:21:57,320 --> 00:22:01,600 Speaker 1: he was slashed across the neck. Just I mean to say, 358 00:22:01,640 --> 00:22:03,400 Speaker 1: no reason is obvious, right, just he was just walking 359 00:22:03,400 --> 00:22:06,440 Speaker 1: on the street. Someone saw him. French tourist visiting in 360 00:22:06,440 --> 00:22:08,200 Speaker 1: New York, you know, And that's the kind of thing 361 00:22:08,200 --> 00:22:10,680 Speaker 1: that Europeans are going to remember for a long time 362 00:22:10,720 --> 00:22:12,679 Speaker 1: and they'll say, oh, look what happens in America and 363 00:22:12,720 --> 00:22:15,159 Speaker 1: it's unsafe and you know, so there's a ripple effect 364 00:22:15,160 --> 00:22:20,800 Speaker 1: to that too, beyond the horrific act of mutilating someone 365 00:22:20,840 --> 00:22:23,440 Speaker 1: in that way. But it's just disgusting, right. I wonder 366 00:22:23,440 --> 00:22:26,119 Speaker 1: how long that that individual when they finally catch him, 367 00:22:26,160 --> 00:22:29,720 Speaker 1: If they catch him, we'll get in prison. I bet 368 00:22:29,720 --> 00:22:31,399 Speaker 1: you it's not nine years in federal but I mean 369 00:22:31,400 --> 00:22:32,760 Speaker 1: it's not a federal crime. But I bet you it's 370 00:22:32,800 --> 00:22:36,320 Speaker 1: not nine years. M not going to serve nine years. 371 00:22:37,520 --> 00:22:41,159 Speaker 1: Roger Stone should serve nine years. Though, this is the 372 00:22:41,160 --> 00:22:43,800 Speaker 1: world that Democrats want us to live in now. People 373 00:22:43,840 --> 00:22:47,760 Speaker 1: who are vicious and a threat to public safety and 374 00:22:47,880 --> 00:22:50,840 Speaker 1: a menace they they you know, we got to talk 375 00:22:50,880 --> 00:22:53,119 Speaker 1: about criminal justice reform and we have to get into 376 00:22:53,200 --> 00:22:55,600 Speaker 1: whoa what's really going on here with mass incarceration. And 377 00:22:55,800 --> 00:22:59,800 Speaker 1: you know, anyone who commits a violent crime should be 378 00:22:59,840 --> 00:23:03,120 Speaker 1: in my mind treated entire almost in a different sector 379 00:23:03,119 --> 00:23:06,159 Speaker 1: of the justice system from non violent crimes or violence 380 00:23:06,200 --> 00:23:10,600 Speaker 1: against human beings. You know, rape, assault, murder, you know, 381 00:23:10,680 --> 00:23:14,000 Speaker 1: assaulved the deadly weapon, and threats of imminent violence and 382 00:23:14,160 --> 00:23:16,960 Speaker 1: armed robbery. Those are the most serious crimes for good reason, 383 00:23:18,040 --> 00:23:20,640 Speaker 1: and anyone of any background or ethnicity who commits any 384 00:23:20,640 --> 00:23:23,159 Speaker 1: of those crimes should be treated with the utmost harshness. 385 00:23:24,200 --> 00:23:29,720 Speaker 1: Lying under oath, come on, come on, lying under oath 386 00:23:29,720 --> 00:23:32,119 Speaker 1: about something. It's one thing, lying under oath against a 387 00:23:32,160 --> 00:23:35,359 Speaker 1: person who you know that that lie, let's say, is 388 00:23:35,359 --> 00:23:37,159 Speaker 1: going to send someone else to prison or you know, 389 00:23:37,200 --> 00:23:39,520 Speaker 1: these things should be weighed by by the way that 390 00:23:39,520 --> 00:23:41,359 Speaker 1: that also is often not enforced the way that it 391 00:23:41,400 --> 00:23:45,600 Speaker 1: should be. People that lie under oath when they make accusations, 392 00:23:45,600 --> 00:23:48,719 Speaker 1: for example, the Duke Lacrosse case comes to mind. There 393 00:23:48,720 --> 00:23:53,040 Speaker 1: are others they are not punished as severely and they 394 00:23:53,040 --> 00:23:55,359 Speaker 1: should be. But this was a lie. Who is the 395 00:23:55,440 --> 00:23:59,280 Speaker 1: victim here? The government, the Muller team when Roger Stone 396 00:23:59,280 --> 00:24:01,800 Speaker 1: didn't tell them the I'm not saying he should get 397 00:24:01,880 --> 00:24:04,560 Speaker 1: away with it. That's not even the conversation. No one 398 00:24:04,640 --> 00:24:08,560 Speaker 1: saying he's not guilty of this, and you have to 399 00:24:08,600 --> 00:24:10,520 Speaker 1: have sanctions against people for this. But nine years in 400 00:24:10,560 --> 00:24:13,320 Speaker 1: federal prison. Why not fifty years in federal prison? Why 401 00:24:13,359 --> 00:24:17,240 Speaker 1: not a hundred because you realize that's crazy, But yet 402 00:24:17,280 --> 00:24:19,600 Speaker 1: liberals make this argument that this is in agreedious offense. 403 00:24:20,080 --> 00:24:23,639 Speaker 1: Joe Biden is calling on the Attorney General to resign 404 00:24:23,840 --> 00:24:27,040 Speaker 1: over this. Let's just really unpack this for a second. 405 00:24:27,320 --> 00:24:31,320 Speaker 1: The Attorney General of the United States should resign, according 406 00:24:31,359 --> 00:24:35,840 Speaker 1: to libs right now because Trump associate and longtime political 407 00:24:35,880 --> 00:24:41,080 Speaker 1: advisor in General and the Republican Party, Roger Stone might 408 00:24:41,200 --> 00:24:45,240 Speaker 1: end up serving two or three years in federal prison. 409 00:24:46,000 --> 00:24:48,200 Speaker 1: This ensing its schedule for Thursday, by the way, two 410 00:24:48,320 --> 00:24:51,639 Speaker 1: or three years in federal prison instead of five or six. 411 00:24:52,320 --> 00:24:55,879 Speaker 1: Attorney General Barr must resign. Who thinks that this is 412 00:24:56,800 --> 00:25:01,240 Speaker 1: a normal thing to think this is an understandable position. 413 00:25:02,160 --> 00:25:08,040 Speaker 1: But there's there's no semblance of proportionality with the Democrats anymore. 414 00:25:08,119 --> 00:25:11,200 Speaker 1: There's no rationality that they've become deranged in the era 415 00:25:11,240 --> 00:25:15,439 Speaker 1: of Trump. And this is insane and it's it's shameful too, 416 00:25:15,920 --> 00:25:18,680 Speaker 1: because it's starting to undermine faith that the rest of 417 00:25:18,760 --> 00:25:20,879 Speaker 1: us have that we can get a fair trial. Right now, 418 00:25:20,880 --> 00:25:24,040 Speaker 1: if you're a Trump associate in the District of Columbia 419 00:25:24,280 --> 00:25:26,359 Speaker 1: and you're being tried for something, You're not getting a 420 00:25:26,359 --> 00:25:30,879 Speaker 1: fair trial. We know this. I don't think if somebody 421 00:25:30,920 --> 00:25:33,399 Speaker 1: associated with Trump was tried in New York City they 422 00:25:33,440 --> 00:25:36,480 Speaker 1: would be getting a fair trial either, because the jury 423 00:25:36,480 --> 00:25:39,080 Speaker 1: pool is so tainted, because the media has done such 424 00:25:39,720 --> 00:25:44,879 Speaker 1: an astonishing job of propagandizing about how Trump is an 425 00:25:44,880 --> 00:25:47,040 Speaker 1: imminent threat and everyone around him is so terrible and 426 00:25:47,040 --> 00:25:48,920 Speaker 1: he's so awful, and I mean, while the country is 427 00:25:48,960 --> 00:25:51,359 Speaker 1: doing better than it's done in my adult lifetime, the 428 00:25:51,400 --> 00:25:53,240 Speaker 1: country's in better shape right now than it has been 429 00:25:53,600 --> 00:25:56,720 Speaker 1: in my adult lifetime and probably in my lifetime period. 430 00:25:58,320 --> 00:26:00,000 Speaker 1: The country is better now that at any point it's 431 00:26:00,040 --> 00:26:02,760 Speaker 1: been in almost forty years, speaking from my own personal experience. 432 00:26:03,720 --> 00:26:05,280 Speaker 1: Do you get any sense of that from the media. 433 00:26:05,280 --> 00:26:06,439 Speaker 1: Do you get any sense of that from the way 434 00:26:06,440 --> 00:26:10,080 Speaker 1: they're reporting on things now? Of course not. Instead they're 435 00:26:10,119 --> 00:26:14,000 Speaker 1: doing they're doing an impersonation. It's a bit like Ben 436 00:26:14,040 --> 00:26:17,719 Speaker 1: Affleck when he is the best thing that Ben Affleck 437 00:26:17,760 --> 00:26:20,520 Speaker 1: I think has ever done, when he did an impersonation 438 00:26:20,560 --> 00:26:24,840 Speaker 1: of Keith Olberman on Saturday Night Live, Miss Precious Perfect, 439 00:26:24,840 --> 00:26:26,760 Speaker 1: when the co op board would not let my cat, 440 00:26:26,800 --> 00:26:29,840 Speaker 1: Miss Precious Perfect stay with me. You know, this whole thing, 441 00:26:30,240 --> 00:26:34,440 Speaker 1: and I kind of complained to Mumsy, you, sir, should resign, 442 00:26:35,480 --> 00:26:38,439 Speaker 1: and you know, Keith Olberman yelling and you know, acting 443 00:26:38,480 --> 00:26:41,840 Speaker 1: like he was a really bad Keith Olberman's whole stick 444 00:26:42,560 --> 00:26:46,880 Speaker 1: was staring into the camera and letting libs believe that 445 00:26:47,280 --> 00:26:49,240 Speaker 1: a guy who sounded like he was doing a bad 446 00:26:49,280 --> 00:26:53,679 Speaker 1: impression of a person doing an impression of a Shakespeare 447 00:26:53,720 --> 00:26:57,159 Speaker 1: actor like it was a few levels remove. You know, 448 00:26:57,560 --> 00:26:59,240 Speaker 1: this is what someone sounds like when they're trying to 449 00:26:59,240 --> 00:27:04,600 Speaker 1: get the role of Keith Olberman steps in that this 450 00:27:04,640 --> 00:27:07,000 Speaker 1: was intellectual and this was worthwhile for anybody. And also 451 00:27:07,080 --> 00:27:09,520 Speaker 1: Keith Olberman has a reputation for being among the worst 452 00:27:09,640 --> 00:27:13,440 Speaker 1: human beings in the media of any political background. But 453 00:27:13,800 --> 00:27:16,479 Speaker 1: the whole thing about it, you should resign. Everyone should resign, 454 00:27:16,600 --> 00:27:20,520 Speaker 1: right Everyone on the right should resign. Anybody that libs 455 00:27:20,520 --> 00:27:24,000 Speaker 1: don't like should resign, lose their job. This is what 456 00:27:24,080 --> 00:27:27,200 Speaker 1: democrats have been reduced to right now, And I mentioned 457 00:27:27,200 --> 00:27:28,680 Speaker 1: that at the top of the show. It's wanting to 458 00:27:28,720 --> 00:27:31,359 Speaker 1: go back to it for a second. You think about 459 00:27:31,400 --> 00:27:34,680 Speaker 1: the Department of Justice under the Obama administration and what 460 00:27:34,840 --> 00:27:40,760 Speaker 1: was allowed to occur. Then the way that Attorney General 461 00:27:40,800 --> 00:27:44,480 Speaker 1: Holder just made sure that there was no accountability at all. 462 00:27:44,520 --> 00:27:47,040 Speaker 1: There was no effort to investigate, there was no oversight 463 00:27:47,160 --> 00:27:52,440 Speaker 1: of the irs targeting Conservatives in an election year. Lois 464 00:27:52,560 --> 00:27:55,320 Speaker 1: Learner admitted this, they did this. This is real. There's 465 00:27:55,320 --> 00:27:58,200 Speaker 1: no question that this happened. The only question was how 466 00:27:58,240 --> 00:28:01,560 Speaker 1: far did it go and who gave the order? They 467 00:28:01,600 --> 00:28:04,040 Speaker 1: just made that go away. Eric Holders like, WHOA, I 468 00:28:04,040 --> 00:28:07,160 Speaker 1: don't we don't want to look into that operation fast 469 00:28:07,200 --> 00:28:10,320 Speaker 1: and furious. Even Democrats, yes, you could say that voting 470 00:28:10,320 --> 00:28:12,399 Speaker 1: to hold Eric Holder in contempt of Congress is a 471 00:28:12,440 --> 00:28:14,600 Speaker 1: political act fund but even Democrats, and I think it 472 00:28:14,600 --> 00:28:16,359 Speaker 1: was a whole bunch of them, maybe about seventeen of 473 00:28:16,400 --> 00:28:19,200 Speaker 1: them in the House went along with that and said, yeah, no, 474 00:28:19,280 --> 00:28:22,320 Speaker 1: he is this is this is contemptuous. He should not 475 00:28:22,400 --> 00:28:28,280 Speaker 1: do this. The Obama administration was telling gun store owners 476 00:28:28,680 --> 00:28:32,040 Speaker 1: to make illegal sales to individuals that they knew were 477 00:28:32,040 --> 00:28:33,680 Speaker 1: going to then take those weapons and sell them to 478 00:28:33,720 --> 00:28:36,240 Speaker 1: the drug cartel south of the border, and that resulted 479 00:28:36,240 --> 00:28:39,360 Speaker 1: in the deaths of over one hundred people and including 480 00:28:39,360 --> 00:28:42,960 Speaker 1: the murder of Border patrol agent Brian Terry. Do we 481 00:28:42,960 --> 00:28:46,840 Speaker 1: ever find who gave the order for that investigative, that operation, 482 00:28:47,200 --> 00:28:49,720 Speaker 1: we don't know. Yeah, there were some low level people 483 00:28:49,760 --> 00:28:52,080 Speaker 1: that were, oh, you know that their careers were derailed 484 00:28:52,160 --> 00:28:56,400 Speaker 1: or something in the ATF, and but no one ever 485 00:28:56,440 --> 00:28:58,720 Speaker 1: found out. Don't you think that's the kind of thing 486 00:28:58,760 --> 00:29:00,760 Speaker 1: that they would know in DC at the highest level 487 00:29:00,760 --> 00:29:04,280 Speaker 1: that they're doing. It's very risky telling people to break 488 00:29:04,320 --> 00:29:07,240 Speaker 1: firearms laws. It was really an effort to break federal 489 00:29:07,280 --> 00:29:10,480 Speaker 1: firearms laws by the federal government so that then they'd 490 00:29:10,520 --> 00:29:14,520 Speaker 1: have an excuse to enact much stricter firearms laws. See 491 00:29:14,520 --> 00:29:16,800 Speaker 1: all this terrible violence going on with the drug cartels, 492 00:29:16,840 --> 00:29:19,520 Speaker 1: it's because we don't have strict enough gun laws. Even 493 00:29:19,560 --> 00:29:21,320 Speaker 1: though they were breaking their gun laws in the first 494 00:29:21,320 --> 00:29:23,960 Speaker 1: place to get those guns to the drug cartels on 495 00:29:24,200 --> 00:29:27,200 Speaker 1: order of the government. We didn't get to find out 496 00:29:27,240 --> 00:29:30,120 Speaker 1: what happened there. Eric Holder didn't want to get the 497 00:29:30,120 --> 00:29:33,840 Speaker 1: answers the REDDA Lynch never recused herself in the Hillary 498 00:29:33,880 --> 00:29:37,680 Speaker 1: Clinton email investigation. Just think about that. She never recused herself, 499 00:29:37,680 --> 00:29:40,160 Speaker 1: And not only that, she didn't recuse herself after the 500 00:29:40,200 --> 00:29:42,240 Speaker 1: Tarmac nittee with Bill Clinton, which I know you could 501 00:29:42,280 --> 00:29:44,640 Speaker 1: say the investigation didn't go on that much longer, but 502 00:29:45,000 --> 00:29:49,560 Speaker 1: investigation could have been reopened. She didn't know, and it 503 00:29:49,640 --> 00:29:51,440 Speaker 1: also would at least sent a messers like, yeah, I 504 00:29:51,800 --> 00:29:53,400 Speaker 1: definitely shouldn't have done that. But we all know what 505 00:29:53,480 --> 00:29:55,840 Speaker 1: was going on there. That was behind the scenes collusion 506 00:29:55,960 --> 00:30:00,480 Speaker 1: by powerful Democrats. Of course it was. Yet they want 507 00:30:00,480 --> 00:30:02,520 Speaker 1: to lecture us on the Just Department. The Civil Rights 508 00:30:02,520 --> 00:30:05,720 Speaker 1: Division under Eric Holder was effectively a bunch of community 509 00:30:05,800 --> 00:30:09,040 Speaker 1: organizers and activists who ended up getting overturned by the 510 00:30:09,080 --> 00:30:14,440 Speaker 1: courts numerous times. The Obama DOJ was an activist DJ, 511 00:30:14,680 --> 00:30:18,360 Speaker 1: especially the Civil Rights Division, which was far left and 512 00:30:18,480 --> 00:30:22,320 Speaker 1: trying to enact a social justice agenda in violation of 513 00:30:22,440 --> 00:30:28,040 Speaker 1: law under the guise of implementing the law. That's what 514 00:30:28,120 --> 00:30:30,920 Speaker 1: we had for eight years under the Obama administration. And 515 00:30:31,600 --> 00:30:36,160 Speaker 1: we're supposed to get lectures now about Attorney General Bill Barr. Please, Libs, 516 00:30:36,240 --> 00:30:39,360 Speaker 1: just get ready for what's coming. Get ready for the 517 00:30:39,480 --> 00:30:42,760 Speaker 1: report that Durham is going to put out, and then 518 00:30:42,800 --> 00:30:44,640 Speaker 1: we'll watch as they because they they'll never admit that 519 00:30:44,680 --> 00:30:46,520 Speaker 1: they were wrong, but we will watch some and the 520 00:30:46,600 --> 00:30:51,160 Speaker 1: Democrat corporate apparatus, media apparatus squirm as they try to 521 00:30:51,200 --> 00:30:56,240 Speaker 1: justify the enormous hoax. That was the Russia collusion investigation, 522 00:30:56,320 --> 00:30:59,880 Speaker 1: all meant to help their incredibly weak, dishonest, corrupt cam 523 00:31:00,360 --> 00:31:05,800 Speaker 1: Hillary Clinton glide into the White House. You're in the 524 00:31:05,960 --> 00:31:13,200 Speaker 1: Freedom Hut. This is the Buck Sexton Show podcast. So 525 00:31:13,560 --> 00:31:16,560 Speaker 1: it's November. People who just what just won the election? 526 00:31:16,840 --> 00:31:20,520 Speaker 1: And the current occupant says, no, this is all a hoax. 527 00:31:20,760 --> 00:31:23,239 Speaker 1: The Senate agrees with him. Fox News starts going on 528 00:31:23,280 --> 00:31:26,200 Speaker 1: about it. What does president elect but to just do 529 00:31:26,280 --> 00:31:29,720 Speaker 1: about this? Yeah? What he doesn't want to leave? So well, 530 00:31:29,720 --> 00:31:31,000 Speaker 1: what I said to Bill Mars, this is going to 531 00:31:31,000 --> 00:31:32,880 Speaker 1: be pretty awkward when Chaston and I are moving in 532 00:31:32,920 --> 00:31:37,520 Speaker 1: our furniture. I mean, if he won't leave, I guess 533 00:31:37,520 --> 00:31:39,600 Speaker 1: if he's willing to do chores, we could work something out. 534 00:31:39,720 --> 00:31:44,280 Speaker 1: But what is this this liberal mythology or that this 535 00:31:44,440 --> 00:31:48,480 Speaker 1: liberal fantasy that if Donald Trump doesn't if Donald Trump 536 00:31:48,600 --> 00:31:53,080 Speaker 1: lost the election, he wouldn't leave. This is this is 537 00:31:53,120 --> 00:31:55,360 Speaker 1: amazing for a number reason. One, there's just no evidence 538 00:31:55,400 --> 00:31:58,400 Speaker 1: that this is the case. There's no reason, there's no 539 00:31:58,480 --> 00:32:03,240 Speaker 1: reasonable reason to believe that. But also, we're going through 540 00:32:03,440 --> 00:32:04,960 Speaker 1: so much of what we are as a country right now, 541 00:32:05,040 --> 00:32:08,440 Speaker 1: and the political conversation has really been dominated by one thing, 542 00:32:08,440 --> 00:32:11,120 Speaker 1: and that is Democrats refusal to accept the twenty sixteen 543 00:32:11,160 --> 00:32:16,080 Speaker 1: election results. So Democrats refused to accept the twenty sixteen 544 00:32:16,120 --> 00:32:20,880 Speaker 1: election results, spawning a special counsel investigation and countless conspiracy theories, 545 00:32:20,880 --> 00:32:23,160 Speaker 1: and all these removed Trump efforts, and quite honestly, the 546 00:32:23,200 --> 00:32:26,880 Speaker 1: impeachment effort and the Senate trial that then acquitted President Trump. 547 00:32:27,880 --> 00:32:30,160 Speaker 1: But they refuse to accept twenty sixteen, and then we 548 00:32:31,360 --> 00:32:33,000 Speaker 1: have to hear from it. And also they refused to 549 00:32:33,000 --> 00:32:37,760 Speaker 1: accept two thousand one Bush beat Gore. And now we 550 00:32:37,800 --> 00:32:41,480 Speaker 1: are told that we should be concerned that Donald Trump 551 00:32:41,520 --> 00:32:44,040 Speaker 1: is not going to accept the twenty twenty election results. 552 00:32:45,600 --> 00:32:49,160 Speaker 1: You know, fool me once, as Bush said, can't get 553 00:32:49,200 --> 00:32:54,400 Speaker 1: fooled again. What are they doing here? Why even go there? 554 00:32:55,280 --> 00:32:57,640 Speaker 1: It's also meant to be an insult, I should note, 555 00:32:57,680 --> 00:32:59,840 Speaker 1: and this is another This is a common tactic you 556 00:33:00,040 --> 00:33:03,280 Speaker 1: have against the truly Trump de arranged Democrats. It's a 557 00:33:03,360 --> 00:33:08,680 Speaker 1: way of undermining Trump supporters. It's a way of attacking 558 00:33:08,760 --> 00:33:12,280 Speaker 1: us without having the stomach to actually say what they 559 00:33:12,320 --> 00:33:16,360 Speaker 1: want to say. So they'll make claims that they know 560 00:33:16,560 --> 00:33:20,480 Speaker 1: are only possible, they know could only be true. If 561 00:33:20,520 --> 00:33:25,640 Speaker 1: Trump supporters were willing to go along with it. So 562 00:33:25,680 --> 00:33:28,040 Speaker 1: what I'm saying here is when they claim that Donald 563 00:33:28,040 --> 00:33:31,160 Speaker 1: Trump could do something really horrific right, or Donald Trump 564 00:33:31,160 --> 00:33:35,160 Speaker 1: could just declare martial law, which I've heard libs say, 565 00:33:35,560 --> 00:33:37,280 Speaker 1: or or that he's a dictator. I mean, if he's 566 00:33:37,280 --> 00:33:40,640 Speaker 1: a dictator, he's the worst dictator ever, because all he 567 00:33:40,680 --> 00:33:43,280 Speaker 1: does is go to court and obey the rule of law, 568 00:33:43,360 --> 00:33:47,000 Speaker 1: including when there are lawless judges trying to overrule him 569 00:33:47,000 --> 00:33:50,960 Speaker 1: at the national level with these universal injunctions. But we 570 00:33:51,040 --> 00:33:53,120 Speaker 1: all know that he couldn't do the things that libs 571 00:33:53,120 --> 00:33:56,320 Speaker 1: are worried about him doing if his supporters all of 572 00:33:56,360 --> 00:33:59,200 Speaker 1: a sudden decided that he had overstepped that he was 573 00:33:59,240 --> 00:34:00,880 Speaker 1: no longer in the in the right, and that he 574 00:34:00,920 --> 00:34:05,240 Speaker 1: needed to be removed from power or moved from office. So, 575 00:34:05,680 --> 00:34:08,680 Speaker 1: of course, if Trump loses the election, which would be 576 00:34:08,960 --> 00:34:10,839 Speaker 1: would just be a sad day for America if that 577 00:34:10,880 --> 00:34:14,520 Speaker 1: were to happen, though, those of us who had voted 578 00:34:14,520 --> 00:34:16,680 Speaker 1: for him would say, yeah, he's got to go, And 579 00:34:16,719 --> 00:34:18,560 Speaker 1: if he just pretended that he wasn't going to go, 580 00:34:18,760 --> 00:34:22,880 Speaker 1: then that would be a problem. But even in trying 581 00:34:22,920 --> 00:34:28,319 Speaker 1: to play Kate, libs crazy fantasies. You almost give some 582 00:34:28,400 --> 00:34:31,000 Speaker 1: degree of credibility to it, like we have to explain 583 00:34:31,040 --> 00:34:33,680 Speaker 1: this to them, like, yeah, guys, that's right. If Trump 584 00:34:33,880 --> 00:34:38,480 Speaker 1: really was going to nuke Sweden tomorrow, we would stop him. 585 00:34:38,520 --> 00:34:41,480 Speaker 1: I promise we wouldn't be like, yeah, Trump, go for it. 586 00:34:42,000 --> 00:34:44,360 Speaker 1: You know you don't like IKEA anymore, Go ahead and 587 00:34:44,440 --> 00:34:48,040 Speaker 1: fire off a bunch of ICBMs. Of course, But in 588 00:34:48,200 --> 00:34:51,960 Speaker 1: having to even say this, it's like we give some 589 00:34:51,960 --> 00:34:54,560 Speaker 1: credibility to the absurd assertion in the first place. And 590 00:34:54,560 --> 00:34:56,799 Speaker 1: this is a game they play that with Trump not 591 00:34:56,880 --> 00:34:58,920 Speaker 1: leaving office. Of course, if he loses, he's going to 592 00:34:59,040 --> 00:35:04,400 Speaker 1: leave office, and his supporters wouldn't insist because we believe 593 00:35:04,840 --> 00:35:06,799 Speaker 1: in the rule of law, and we believe that you 594 00:35:06,840 --> 00:35:10,320 Speaker 1: have to obey the rules that everyone agrees to. Only 595 00:35:10,320 --> 00:35:12,640 Speaker 1: Libs think the rules change depending on what they want. 596 00:35:12,960 --> 00:35:17,040 Speaker 1: Only Libs believe that nothing matters when they feel like 597 00:35:17,080 --> 00:35:21,480 Speaker 1: there's something more important and there's nothing that can obstruct 598 00:35:21,480 --> 00:35:24,480 Speaker 1: them in their will to power. So it's troubling. I 599 00:35:24,520 --> 00:35:26,239 Speaker 1: just think this is a dumb thing to have to 600 00:35:26,320 --> 00:35:28,879 Speaker 1: keep hearing. What if Trump doesn't leave, Well, they should 601 00:35:28,920 --> 00:35:32,040 Speaker 1: just think about what happens when Trump wins. Thanks for 602 00:35:32,120 --> 00:35:35,840 Speaker 1: listening to the bus seton show podcasts. Remember to subscribe 603 00:35:35,840 --> 00:35:39,120 Speaker 1: on Apple podcast, the iHeart Radio app, or wherever you 604 00:35:39,160 --> 00:35:44,640 Speaker 1: get your podcasts. But it is not only it is 605 00:35:44,760 --> 00:35:51,160 Speaker 1: not only a rigged economy. It is a corrupt political system. 606 00:35:51,960 --> 00:35:56,840 Speaker 1: It is a system that allows billionaires like Trump to 607 00:35:57,000 --> 00:36:01,960 Speaker 1: get massive amounts of campaign contribution from his billionaire friends. 608 00:36:02,840 --> 00:36:07,799 Speaker 1: It is a system that allows a multi billionaire Mike 609 00:36:07,840 --> 00:36:13,040 Speaker 1: Bloomberg worth sixty billion dollars and I missed Bloomberg, like 610 00:36:13,239 --> 00:36:16,840 Speaker 1: anybody else, has a right to run for president. He 611 00:36:17,040 --> 00:36:21,040 Speaker 1: does not have a right to buy the precedents say. 612 00:36:21,880 --> 00:36:25,200 Speaker 1: It is like somebody was writing a script and they 613 00:36:25,239 --> 00:36:27,520 Speaker 1: were coming up with a way to make Bernie Sanders 614 00:36:28,400 --> 00:36:30,400 Speaker 1: seemed like he knew what he was talking about, because 615 00:36:30,440 --> 00:36:32,719 Speaker 1: he is looking like he's going to be running in 616 00:36:32,760 --> 00:36:37,440 Speaker 1: a sense against two billionaires in a Biden. That sounds 617 00:36:37,440 --> 00:36:39,760 Speaker 1: like the worst sitcome ever. Two billionaires in a Biden. 618 00:36:40,200 --> 00:36:44,680 Speaker 1: Oh hello, fellow billionaire, How is that poor fellow mister 619 00:36:44,880 --> 00:36:48,720 Speaker 1: Biden doing today? Perhaps he can get some family members 620 00:36:48,760 --> 00:36:52,239 Speaker 1: on the board of a corrupt Ukrainian gas company to 621 00:36:52,960 --> 00:36:56,399 Speaker 1: help him pay some bills. The poor chap you got 622 00:36:56,440 --> 00:37:01,000 Speaker 1: these two billionaires, Trump and Bloomberg, And let's be honest, 623 00:37:01,000 --> 00:37:03,680 Speaker 1: Bloomberg is like an ultra billionaire. Trump is a billionaire, 624 00:37:03,680 --> 00:37:06,560 Speaker 1: but he's not a fifty million I'm sorry, a fifty 625 00:37:06,560 --> 00:37:09,960 Speaker 1: million fifty times over. He's not a fifty million billionaire. 626 00:37:10,360 --> 00:37:14,520 Speaker 1: He's not a fifty times over billionaire. That's that's special 627 00:37:14,719 --> 00:37:17,239 Speaker 1: territory that Bloomberg is in. One of the wealthiest men 628 00:37:18,400 --> 00:37:20,839 Speaker 1: in the world. And Bernie Sanders loves to talk about 629 00:37:20,880 --> 00:37:25,239 Speaker 1: the billionaires and the oligarchs. And it turns out that 630 00:37:25,280 --> 00:37:28,279 Speaker 1: there are some billionaire oligarchs who are quite powerful in 631 00:37:28,320 --> 00:37:31,560 Speaker 1: this country. But we will get into which side they 632 00:37:31,600 --> 00:37:33,880 Speaker 1: tend to be supporting, which I think is something that 633 00:37:33,920 --> 00:37:38,240 Speaker 1: does not get nearly enough attention. Right, we will often 634 00:37:38,880 --> 00:37:41,080 Speaker 1: be told that the Republican Party, and this is one 635 00:37:41,080 --> 00:37:44,520 Speaker 1: of these enduring myths. I don't know how we can 636 00:37:44,760 --> 00:37:47,520 Speaker 1: get rid of this other than to keep knocking down 637 00:37:47,560 --> 00:37:50,520 Speaker 1: this lie. The lie is that the Republican Party is 638 00:37:50,560 --> 00:37:54,520 Speaker 1: the party of the rich and Wall Street. Meanwhile, if 639 00:37:54,520 --> 00:37:58,319 Speaker 1: you were to look at who for example, and this 640 00:37:58,400 --> 00:38:00,520 Speaker 1: is you know, hat tipped Ted Cruise on this one today. 641 00:38:00,600 --> 00:38:04,240 Speaker 1: Senator Cruz who pointed out that of the ten richest 642 00:38:04,360 --> 00:38:12,680 Speaker 1: men in America, seven of them, Buffett, Bazots, Gates, Zuckerberg, Bloomberg, Page, 643 00:38:12,719 --> 00:38:17,840 Speaker 1: and Bryn are Democrats, and they are funding Democrats to 644 00:38:17,920 --> 00:38:23,800 Speaker 1: include today's Democrat socialists. And then Cruz wrote, not coincidentally, 645 00:38:24,320 --> 00:38:30,359 Speaker 1: massive government power consistently preserves massive wealth and prevents new 646 00:38:30,400 --> 00:38:35,000 Speaker 1: people from acquiring wealth. It is, in fact the Democrat 647 00:38:35,040 --> 00:38:42,640 Speaker 1: party that has the majority of the ultra wealthy supporting it. 648 00:38:42,640 --> 00:38:45,200 Speaker 1: It is now the Democrat Party that has not one, 649 00:38:45,239 --> 00:38:50,239 Speaker 1: but two billionaires running in its primary, Tom Steier and 650 00:38:50,320 --> 00:38:53,520 Speaker 1: Mike Bloomberg. I think Stier's an interesting character just insofar 651 00:38:53,680 --> 00:38:56,080 Speaker 1: as he's a reminder that you don't have to be 652 00:38:57,000 --> 00:38:58,840 Speaker 1: you don't have to be wise, and you don't have 653 00:38:58,920 --> 00:39:01,239 Speaker 1: to be charming or even seemed to be all really 654 00:39:01,280 --> 00:39:03,520 Speaker 1: that good at anything to be a billionaire. You just 655 00:39:03,560 --> 00:39:04,920 Speaker 1: have to be at the right place at the right 656 00:39:04,920 --> 00:39:07,680 Speaker 1: time and be relentless, and you two can probably become 657 00:39:08,320 --> 00:39:12,719 Speaker 1: a billionaire. Better lucky than good, as I'm fond of saying, 658 00:39:12,760 --> 00:39:15,640 Speaker 1: I've seen that play out in life far too many times, 659 00:39:15,640 --> 00:39:17,960 Speaker 1: in far too many ways. Better lucky than Good's true, 660 00:39:17,960 --> 00:39:22,279 Speaker 1: and conservative media too, by the way, mostly a lot 661 00:39:22,280 --> 00:39:24,200 Speaker 1: of the people that you see who have done very 662 00:39:24,239 --> 00:39:28,080 Speaker 1: well to media in general, but conservative media people that 663 00:39:28,160 --> 00:39:30,400 Speaker 1: you know, happen to be in the right place at 664 00:39:30,440 --> 00:39:33,279 Speaker 1: the right time, got very lucky, got the platform, got 665 00:39:33,320 --> 00:39:37,560 Speaker 1: the opportunity. Because there's so much that goes into being 666 00:39:37,600 --> 00:39:41,160 Speaker 1: successful that it's impossible for just to be merit based 667 00:39:41,239 --> 00:39:43,640 Speaker 1: or just skill base. You gotta get a little lucky too. 668 00:39:44,040 --> 00:39:46,200 Speaker 1: But back to this Ted Cruise tweet ten and richest 669 00:39:46,239 --> 00:39:52,760 Speaker 1: men in America. Seven of them are big Democrat donors Buffett, Bezos, Gates, Zuckerberg, Bloomberg, 670 00:39:52,760 --> 00:39:58,279 Speaker 1: Page Bryn. This is a reminder that the branding that 671 00:39:58,360 --> 00:40:00,720 Speaker 1: the Republican Party has as the party of the elites 672 00:40:00,760 --> 00:40:05,279 Speaker 1: and the rich is merely is one dishonest, it's not true, 673 00:40:05,320 --> 00:40:08,719 Speaker 1: but it's also a deflection from what the modern Democratic 674 00:40:08,760 --> 00:40:13,040 Speaker 1: Party is. The Democratic Party does have a plutocrat problem. 675 00:40:13,120 --> 00:40:15,720 Speaker 1: It does have far too much It does have billionaires 676 00:40:15,719 --> 00:40:18,839 Speaker 1: who have far too much say in what's going to 677 00:40:18,880 --> 00:40:21,920 Speaker 1: happen and what the future of that party will be. 678 00:40:22,239 --> 00:40:26,279 Speaker 1: Here's a perfect example, Bloomberg. I keep trying to, you know, 679 00:40:26,320 --> 00:40:29,840 Speaker 1: hammer this home for people because we've heard in the past, Oh, 680 00:40:29,880 --> 00:40:32,319 Speaker 1: someone's trying to buy their way into an election, and 681 00:40:32,440 --> 00:40:34,720 Speaker 1: usually that meant they had raised a ton of money 682 00:40:35,160 --> 00:40:39,880 Speaker 1: and they could spend a lot of money on a campaign. Bloomberg, 683 00:40:40,000 --> 00:40:44,160 Speaker 1: this is an entirely different situation. I mean, I saw 684 00:40:44,200 --> 00:40:48,160 Speaker 1: Stacy Abrams was standing up for Bloomberg recently. Stacy Abrams 685 00:40:48,600 --> 00:40:51,360 Speaker 1: still pretends that she won an election she lost for 686 00:40:51,400 --> 00:40:54,000 Speaker 1: the governor's race in Georgia, but she had some nice 687 00:40:54,040 --> 00:40:57,160 Speaker 1: words to say about Michael Bloomberg, who's under a lot 688 00:40:57,200 --> 00:40:59,600 Speaker 1: of criticism, a lot of pressure right now as a 689 00:40:59,640 --> 00:41:04,440 Speaker 1: result of his support and implement his implementation of stopping 690 00:41:04,480 --> 00:41:07,560 Speaker 1: frisk policies. But Abrams, as I understand it, you know, 691 00:41:07,640 --> 00:41:12,160 Speaker 1: has received Bloomberg money in the past, you know, in 692 00:41:12,239 --> 00:41:15,400 Speaker 1: her in her bid to be governor of Georgia. I mean, 693 00:41:15,520 --> 00:41:18,960 Speaker 1: think of all the different mayors, for example, that have 694 00:41:19,120 --> 00:41:21,799 Speaker 1: gotten a lot of support Bloomberg funds this you know, 695 00:41:21,880 --> 00:41:24,960 Speaker 1: Mayor's against illegal guns or whatever it's called. The Bloomberg 696 00:41:25,080 --> 00:41:28,080 Speaker 1: anti gun project. Bloomberg's war on the Second Amendment is 697 00:41:28,080 --> 00:41:31,719 Speaker 1: what it really is. But he has more or less 698 00:41:31,800 --> 00:41:35,800 Speaker 1: unlimited funds with which to run that organization or to 699 00:41:35,800 --> 00:41:39,480 Speaker 1: have people running that organization in his name. I think 700 00:41:39,480 --> 00:41:41,840 Speaker 1: of all the mayors, all the politicians, the Democrats side 701 00:41:42,360 --> 00:41:47,120 Speaker 1: that that group has helped by pushing, by pushing their 702 00:41:47,160 --> 00:41:50,640 Speaker 1: candidacy and by attacking their opponents just on the issue 703 00:41:50,680 --> 00:41:55,560 Speaker 1: of guns. You know, it's possible to buy people off 704 00:41:56,520 --> 00:41:59,520 Speaker 1: at the and buy them off in numbers that it 705 00:41:59,520 --> 00:42:01,680 Speaker 1: will matter, because I'm not saying that Bloomberg and either 706 00:42:01,800 --> 00:42:03,960 Speaker 1: technically you can't do this. It's gonna walk around having 707 00:42:03,960 --> 00:42:06,200 Speaker 1: people hand everybody one hundred dollar bill vote for Bloomberg. 708 00:42:06,280 --> 00:42:09,279 Speaker 1: Although I'd want to see what the numbers if you're 709 00:42:09,320 --> 00:42:11,240 Speaker 1: only going to remember, I think it was ninety thousand 710 00:42:11,280 --> 00:42:16,000 Speaker 1: votes total that separated Trump from Hillary in a handful 711 00:42:16,040 --> 00:42:19,560 Speaker 1: of states in the Midwest, Right, Wasn't that there? There 712 00:42:19,560 --> 00:42:22,240 Speaker 1: were somewhere ninety thousand votes? Was the was the difference 713 00:42:22,239 --> 00:42:27,920 Speaker 1: maker about roughly called roughly ninety thousand votes? You know, 714 00:42:27,960 --> 00:42:31,640 Speaker 1: it's not that hard to pay off ninety thousand people, right, 715 00:42:31,680 --> 00:42:34,120 Speaker 1: if you've got billions and billions of dollars. But he's 716 00:42:34,120 --> 00:42:35,920 Speaker 1: not going to pay off individual voters. What he does 717 00:42:36,000 --> 00:42:40,640 Speaker 1: is payoff influencers, payoff powerful voices. And there are so 718 00:42:40,680 --> 00:42:44,880 Speaker 1: many ways that that can be done. And now we 719 00:42:44,920 --> 00:42:48,960 Speaker 1: are starting to see is it possible to corrupt the 720 00:42:48,960 --> 00:42:51,120 Speaker 1: political system in this way, or rather, is it possible 721 00:42:51,200 --> 00:42:53,440 Speaker 1: to just write a big enough check that you can 722 00:42:53,480 --> 00:42:56,000 Speaker 1: be president? You can become president of the United States. Now, 723 00:42:56,000 --> 00:42:58,280 Speaker 1: I don't think anybody could do this. I think Bloomberg 724 00:42:58,320 --> 00:43:02,440 Speaker 1: is an effective manager. I notice how I'm not as like, 725 00:43:02,840 --> 00:43:05,680 Speaker 1: I'm not as as quick to do what I've seen 726 00:43:05,719 --> 00:43:07,920 Speaker 1: a lot of conservatives doing lately, which is just trash 727 00:43:08,040 --> 00:43:12,319 Speaker 1: everything about Bloomberg because they view him as a as 728 00:43:12,360 --> 00:43:16,240 Speaker 1: a threat to Trump already. I'm not I'm not convinced 729 00:43:16,239 --> 00:43:19,000 Speaker 1: that that's really the case. And I also don't think 730 00:43:19,000 --> 00:43:22,720 Speaker 1: that we should do what Democrats do, which is pretend 731 00:43:22,719 --> 00:43:25,160 Speaker 1: that things that they don't, pretend that things about their 732 00:43:25,160 --> 00:43:28,000 Speaker 1: political opponents are true that aren't, just because it's it's, 733 00:43:28,000 --> 00:43:30,239 Speaker 1: you know, the orange man bad approach. I'm not going 734 00:43:30,320 --> 00:43:34,839 Speaker 1: to orange man bad Mike Bloomberg. Libs do that to Trump, 735 00:43:34,880 --> 00:43:36,960 Speaker 1: I'm not gonna do that to Bloomberg. Bloomberg is very 736 00:43:37,000 --> 00:43:39,320 Speaker 1: bad on a number of issues, but he's not dumb, 737 00:43:39,560 --> 00:43:42,440 Speaker 1: and he's not incompetent, and he did do a pretty 738 00:43:42,560 --> 00:43:47,080 Speaker 1: darn good job running a crazy liberal city, all right. 739 00:43:47,160 --> 00:43:50,120 Speaker 1: He's not the governor of San Francisco. I mean the 740 00:43:50,239 --> 00:43:53,200 Speaker 1: governor of gosh, the mayor of San Francisco today, he's 741 00:43:53,239 --> 00:43:56,160 Speaker 1: not build a Blasio, He's not. I think it's Garsetti 742 00:43:56,160 --> 00:43:57,840 Speaker 1: in Los Angeles. I mean, these guys are doing a 743 00:43:57,920 --> 00:44:01,200 Speaker 1: terrible job. So let's be honest about where the criticism 744 00:44:01,280 --> 00:44:04,960 Speaker 1: should be. Do I think that Bloomberg would be as 745 00:44:04,960 --> 00:44:07,399 Speaker 1: good a president as Trump? No, not even close. He's 746 00:44:07,480 --> 00:44:10,480 Speaker 1: horrible on a whole host of issues. And will I 747 00:44:10,600 --> 00:44:14,640 Speaker 1: be absolutely as hard charging for Trump's reelection if it's 748 00:44:14,680 --> 00:44:18,080 Speaker 1: Bloomberg a versus Trump as opposed to any other candidate. Sure, 749 00:44:18,960 --> 00:44:21,839 Speaker 1: but Bernie Sanders is an existential threat to the economy. 750 00:44:22,239 --> 00:44:25,160 Speaker 1: Let's keep it real. Bernie Sanders, it wants to do 751 00:44:25,239 --> 00:44:27,880 Speaker 1: things that no sane person wants to do when it 752 00:44:27,920 --> 00:44:30,120 Speaker 1: comes to economics, when it comes to healthcare, it comes 753 00:44:30,120 --> 00:44:33,920 Speaker 1: to college, when all these things. Bloomberg is actually more 754 00:44:33,960 --> 00:44:37,320 Speaker 1: of what you'd expect to be an establishment Democrat platform, 755 00:44:37,360 --> 00:44:40,560 Speaker 1: which is bad. But we could recover from it. You know, 756 00:44:40,600 --> 00:44:43,200 Speaker 1: we could actually have a Congress that holds him in check. 757 00:44:43,280 --> 00:44:46,640 Speaker 1: And I just think it's fascinating to watch this whole 758 00:44:46,680 --> 00:44:48,799 Speaker 1: thing play out, because now the Democrats who have been 759 00:44:48,800 --> 00:44:51,959 Speaker 1: talking about how Republicans buy elections and all the money 760 00:44:51,960 --> 00:44:55,560 Speaker 1: and politics, and it looks like they might be saved 761 00:44:55,960 --> 00:45:01,719 Speaker 1: from themselves by an ultra billionaire who is doing more 762 00:45:01,800 --> 00:45:03,600 Speaker 1: to buy an election than any human being in the 763 00:45:03,640 --> 00:45:08,080 Speaker 1: history of this country. Who's throwing around money, personal money. 764 00:45:08,080 --> 00:45:10,160 Speaker 1: Remember this is personal money. He's not raising any money. 765 00:45:10,200 --> 00:45:13,920 Speaker 1: He's just writing checks, just writing checks. He's throwing the 766 00:45:14,040 --> 00:45:16,520 Speaker 1: money in a way that nobody's ever seen before, and 767 00:45:16,760 --> 00:45:21,080 Speaker 1: it is amazing. Oh but speaking of the mayor Deblasio, 768 00:45:21,160 --> 00:45:25,440 Speaker 1: Mayor de Blasio, who of course supported his fellow commy 769 00:45:25,640 --> 00:45:29,920 Speaker 1: Bernie Sanders, de Blasio is a Sandinistas style Commi, whereas 770 00:45:29,960 --> 00:45:32,279 Speaker 1: Bernie is a more old Soviet You know, Bernie is 771 00:45:33,360 --> 00:45:36,680 Speaker 1: he's a purist. He's a Soviet Union style communist, as 772 00:45:36,680 --> 00:45:40,080 Speaker 1: we know from where he spent his honeymoon. But here 773 00:45:40,160 --> 00:45:41,960 Speaker 1: is what the current mayor of New York says about 774 00:45:42,000 --> 00:45:45,279 Speaker 1: Bloomberg Play nine. It's important for people to understand what's 775 00:45:45,280 --> 00:45:49,840 Speaker 1: happening here. Bernie Sanders as creating extraordinary momentum on the ground, 776 00:45:49,960 --> 00:45:53,640 Speaker 1: energy excitement because he represents change. He's been consistent about 777 00:45:53,680 --> 00:45:57,160 Speaker 1: it throughout his life. Michael Bloomberg represents the status quo, 778 00:45:57,719 --> 00:46:00,000 Speaker 1: and it's important to talk about it. He has used 779 00:46:00,320 --> 00:46:02,200 Speaker 1: an innorting the amount of money. We've never seen anything 780 00:46:02,320 --> 00:46:04,520 Speaker 1: like it in the history of the United States. But 781 00:46:04,680 --> 00:46:08,520 Speaker 1: what it is masking is a lifetime of supporting those 782 00:46:08,600 --> 00:46:11,280 Speaker 1: in power. He is the epitome of the power structure 783 00:46:11,280 --> 00:46:14,040 Speaker 1: in this country, and it's important for people to start 784 00:46:14,120 --> 00:46:17,240 Speaker 1: understanding what he's really about, given that he's spending literally 785 00:46:17,560 --> 00:46:20,000 Speaker 1: hundreds of millions of dollars to portray only one side 786 00:46:20,000 --> 00:46:22,719 Speaker 1: of the story. I think it's fascinating because you have 787 00:46:22,760 --> 00:46:27,440 Speaker 1: Deblasio here saying this about Bloomberg, and we know New 788 00:46:27,520 --> 00:46:29,880 Speaker 1: York City is and I speak from experience. I'm on 789 00:46:29,920 --> 00:46:32,919 Speaker 1: the subway four times a day here in New York City. 790 00:46:33,040 --> 00:46:37,480 Speaker 1: I mean I'm I'm out there seeing the city, you know, 791 00:46:37,760 --> 00:46:39,799 Speaker 1: up close and personal all the time. I live right 792 00:46:39,840 --> 00:46:42,920 Speaker 1: in the middle of Manhattan. I work in downtown Manhattan, 793 00:46:43,680 --> 00:46:46,840 Speaker 1: constantly on the move. And Deblasio is destroying this place, 794 00:46:47,719 --> 00:46:51,760 Speaker 1: and he's destroying this city because of social justice policies. 795 00:46:51,800 --> 00:46:55,560 Speaker 1: And this is the separation that I want to with 796 00:46:55,600 --> 00:46:58,040 Speaker 1: de Blasio on criminal justice reform and a whole host 797 00:46:58,040 --> 00:47:03,399 Speaker 1: of issues. But bloom Burg offers you Sweden more or less. 798 00:47:03,440 --> 00:47:06,040 Speaker 1: I mean, this is a rough approximation. When Bloomberg is saying, Hey, 799 00:47:06,320 --> 00:47:10,480 Speaker 1: you know, you're gonna have nanny state, big government, higher taxes, 800 00:47:10,880 --> 00:47:15,200 Speaker 1: but there's still going to be a private economy that works, 801 00:47:15,600 --> 00:47:18,480 Speaker 1: and we're gonna have the trains run on time and 802 00:47:18,719 --> 00:47:22,000 Speaker 1: the streets will be relatively clean, and you've got somebody 803 00:47:22,040 --> 00:47:26,160 Speaker 1: that is not a just a crazy idealogue in charge. 804 00:47:26,719 --> 00:47:31,400 Speaker 1: That's what he offers. That's not good, but it's not Venezuela, 805 00:47:31,440 --> 00:47:33,640 Speaker 1: which is what Bernie Sanders and de Blasio offer you, 806 00:47:33,680 --> 00:47:37,520 Speaker 1: which is the rapid social and economic deterioration that comes 807 00:47:38,000 --> 00:47:43,719 Speaker 1: from instituting more radical Marxist policies, more purely redistributive and 808 00:47:43,880 --> 00:47:48,359 Speaker 1: social justice based laws and regulations that are meant to 809 00:47:48,880 --> 00:47:52,880 Speaker 1: promote radical equality in a society. Radical equality leads to 810 00:47:52,960 --> 00:47:55,160 Speaker 1: ruination because we are not in fact, when it comes 811 00:47:55,160 --> 00:47:57,719 Speaker 1: to our talents, gifts, ability, hard work, etc. We are 812 00:47:57,760 --> 00:48:00,960 Speaker 1: not equal in those regards where equal human beings in 813 00:48:01,040 --> 00:48:03,839 Speaker 1: human dignity and in the eyes of the law. But 814 00:48:03,920 --> 00:48:05,520 Speaker 1: we're not all the same in terms of how much 815 00:48:05,520 --> 00:48:07,560 Speaker 1: stuff we're gonna have and how good we are things 816 00:48:07,600 --> 00:48:11,040 Speaker 1: and the choices we're gonna make and everything else. The 817 00:48:11,160 --> 00:48:16,120 Speaker 1: socialists have a false promise to people that those because 818 00:48:16,160 --> 00:48:20,000 Speaker 1: really the ultimate promise of socialists like Sanders is rooted 819 00:48:20,040 --> 00:48:23,680 Speaker 1: in envy. They won't talk about it this way. They'll 820 00:48:23,680 --> 00:48:25,399 Speaker 1: just say the other guys are so bad because they're 821 00:48:25,400 --> 00:48:28,120 Speaker 1: greedy and all this other stuff. But the impulse that 822 00:48:28,200 --> 00:48:32,919 Speaker 1: they capitalize on is human envy, coveting thy neighbors fill 823 00:48:32,960 --> 00:48:35,560 Speaker 1: in the blank. That's what Sanders does, that's what de 824 00:48:35,640 --> 00:48:39,160 Speaker 1: Blasio does. These are people who rabble roles, who go 825 00:48:39,280 --> 00:48:42,759 Speaker 1: to the darker side of human emotion, who go to 826 00:48:43,400 --> 00:48:46,000 Speaker 1: the recesses of the human brain, that see other people 827 00:48:46,040 --> 00:48:47,799 Speaker 1: that they think are doing. By the way, no one 828 00:48:47,800 --> 00:48:52,520 Speaker 1: even really knows about how happy or truly successful. I mean, 829 00:48:52,560 --> 00:48:54,879 Speaker 1: I know, I know plenty of stories personally of people 830 00:48:54,880 --> 00:48:56,640 Speaker 1: that you look at it and say, oh wow, that person. 831 00:48:57,080 --> 00:49:00,000 Speaker 1: Then you find out that they're struggling with some chronic elments, 832 00:49:00,040 --> 00:49:01,319 Speaker 1: can barely get out of bed in the morning, and 833 00:49:01,320 --> 00:49:02,640 Speaker 1: are thinking about ending at all. And I mean, I 834 00:49:02,719 --> 00:49:05,080 Speaker 1: really mean that people that you'd see are really successful 835 00:49:05,080 --> 00:49:07,200 Speaker 1: and wealthy and attractive, you know, you don't know, but 836 00:49:07,360 --> 00:49:09,960 Speaker 1: socialist Marxist that they don't get that. They look at 837 00:49:10,000 --> 00:49:16,040 Speaker 1: this just from a a very sterile lens of If 838 00:49:16,080 --> 00:49:19,919 Speaker 1: you have more than me, that's a problem. If you're 839 00:49:20,000 --> 00:49:22,839 Speaker 1: better off than me, that's a problem. It's never did 840 00:49:22,880 --> 00:49:25,160 Speaker 1: I make choices? Could I make different choices? Can we 841 00:49:25,239 --> 00:49:28,480 Speaker 1: both be happy? Can we both be prosperous in society 842 00:49:28,560 --> 00:49:30,839 Speaker 1: without Now that that's not the way that it's viewed. 843 00:49:30,880 --> 00:49:34,719 Speaker 1: It's always that there's the evil that exists is the 844 00:49:34,760 --> 00:49:39,000 Speaker 1: fact that the Sanders supporter, the socialist, looks at what 845 00:49:39,040 --> 00:49:42,520 Speaker 1: other people have and says, that's not fair. I should 846 00:49:42,560 --> 00:49:45,880 Speaker 1: have that too, or nobody should have that, which is 847 00:49:45,880 --> 00:49:49,480 Speaker 1: what it turns into, you know, nobody should have what 848 00:49:49,520 --> 00:49:52,320 Speaker 1: that person has. And then eventually this and this is 849 00:49:52,360 --> 00:49:56,279 Speaker 1: this is true. This is the socialist cycle that plays out. 850 00:49:56,320 --> 00:49:59,840 Speaker 1: It's played out in societies all over the world. Eventually, 851 00:49:59,840 --> 00:50:04,200 Speaker 1: the class that implements that radical equality, or that that 852 00:50:04,280 --> 00:50:10,400 Speaker 1: effort at radical equality, elevates itself and becomes what Gilas 853 00:50:11,840 --> 00:50:17,319 Speaker 1: Milo Gilas calls is an excommunist The New Class, which 854 00:50:17,360 --> 00:50:19,239 Speaker 1: is a very worthwhile book, by the way, if you 855 00:50:19,239 --> 00:50:23,600 Speaker 1: ever character read it, about the elevation of the bureaucratic 856 00:50:23,719 --> 00:50:26,880 Speaker 1: elite within communist societies that are supposed to be so 857 00:50:26,960 --> 00:50:29,120 Speaker 1: equal until you realize the people in charge is making 858 00:50:29,160 --> 00:50:32,120 Speaker 1: things equal. They're not equal, they're above. And what Ted 859 00:50:32,160 --> 00:50:34,080 Speaker 1: Cruz was pointing out in his tweet is that the 860 00:50:34,160 --> 00:50:36,279 Speaker 1: ultra rich in a society like that, they want the 861 00:50:36,280 --> 00:50:39,399 Speaker 1: elevation of that bureaucratic class to keep everybody else in check. 862 00:50:39,680 --> 00:50:41,839 Speaker 1: But the ultra rich always find a way to stay 863 00:50:41,880 --> 00:50:46,080 Speaker 1: ultra rich. It's the middle class, it's the strivers, it's 864 00:50:46,080 --> 00:50:48,200 Speaker 1: the builders, it's the people that want to be better off. 865 00:50:48,400 --> 00:50:51,000 Speaker 1: They're the ones that are crushed down. They're the ones 866 00:50:51,040 --> 00:50:53,400 Speaker 1: that Bernie Sanders is going to make life miserable for. 867 00:50:54,080 --> 00:50:56,799 Speaker 1: But the ultra rich and the ultra dependent, they think 868 00:50:56,800 --> 00:51:01,719 Speaker 1: they'll do great in a socialist America. You're in the 869 00:51:01,880 --> 00:51:05,239 Speaker 1: Freedom Hunt. This is the Buck Sex and Show Podcast 870 00:51:09,120 --> 00:51:13,759 Speaker 1: Number one. One of the things that this is we 871 00:51:13,920 --> 00:51:17,319 Speaker 1: knew the most difficult when they did all the all 872 00:51:17,320 --> 00:51:19,959 Speaker 1: the all the all the cross the cross tabs. Though, 873 00:51:20,440 --> 00:51:23,040 Speaker 1: one of the foremost difficult states for me to win 874 00:51:23,640 --> 00:51:27,280 Speaker 1: was going to be in Iowa because and they're good people. 875 00:51:27,960 --> 00:51:30,719 Speaker 1: It's all white, it's all Midwestern. It's a lot of 876 00:51:30,760 --> 00:51:34,320 Speaker 1: it farming and it's uh, and it was going to 877 00:51:34,440 --> 00:51:38,000 Speaker 1: be it was going but we did. Okay. If you 878 00:51:38,120 --> 00:51:40,440 Speaker 1: take a look at what happened there, I mean, it 879 00:51:40,600 --> 00:51:43,880 Speaker 1: was kind of unusual thing that I hope doesn't happen 880 00:51:44,040 --> 00:51:48,120 Speaker 1: here in terri of No No. I mean in terms 881 00:51:48,160 --> 00:51:50,319 Speaker 1: of the actual running into the caucus, how how it 882 00:51:50,360 --> 00:51:54,920 Speaker 1: worked out. It really is time for Joe Biden to 883 00:51:55,360 --> 00:51:59,359 Speaker 1: spend time on the pier feeding seagulls with a nice 884 00:51:59,400 --> 00:52:05,360 Speaker 1: comfy blind get across his lap. It's amazing that he's 885 00:52:05,400 --> 00:52:07,480 Speaker 1: still it seems that he's the only person who really 886 00:52:07,520 --> 00:52:09,360 Speaker 1: believes that he's going to be president the United States. Still, 887 00:52:10,120 --> 00:52:11,960 Speaker 1: I think that he would get crushed in a general 888 00:52:12,000 --> 00:52:13,959 Speaker 1: election against Now, when you say crushed the third states 889 00:52:13,960 --> 00:52:15,560 Speaker 1: that are going to go Democrats, I mean you're really 890 00:52:15,560 --> 00:52:18,840 Speaker 1: only talking about a difference in the electoral college that 891 00:52:18,920 --> 00:52:21,120 Speaker 1: will result from a difference of a few hundred thousand 892 00:52:21,200 --> 00:52:24,440 Speaker 1: votes in total. That's how that's how separate, that's how 893 00:52:24,480 --> 00:52:28,040 Speaker 1: polarized the country is. But I think that Joe Biden 894 00:52:28,080 --> 00:52:30,440 Speaker 1: doesn't flip those votes toward him, And I think that 895 00:52:30,480 --> 00:52:33,920 Speaker 1: the Democrats are realizing that this game they're willing to 896 00:52:33,960 --> 00:52:36,200 Speaker 1: play all along, that Joe Biden was something other than 897 00:52:36,239 --> 00:52:40,280 Speaker 1: what he is, which is a deeply, deeply unimpressive politician, 898 00:52:40,320 --> 00:52:42,560 Speaker 1: always has been, always will be, is coming back to 899 00:52:42,640 --> 00:52:46,560 Speaker 1: bite them. And that's where Bloomberg saw his opening. And 900 00:52:46,680 --> 00:52:49,400 Speaker 1: it's also why Bernie Sanders is at least technically here 901 00:52:49,440 --> 00:52:52,120 Speaker 1: right now the front runner. Thanks for listening to the 902 00:52:52,239 --> 00:52:56,320 Speaker 1: Bus Sesson Show podcast. Remember to subscribe on Apple podcast, 903 00:52:56,480 --> 00:52:59,680 Speaker 1: the iHeart Radio app, or wherever you get your podcasts. 904 00:53:00,800 --> 00:53:03,239 Speaker 1: I don't know what he can do either, but I 905 00:53:03,280 --> 00:53:07,160 Speaker 1: think the challenge is that we can't just settle for 906 00:53:07,320 --> 00:53:11,719 Speaker 1: a speech or a tour of speeches asking for forgiveness. 907 00:53:12,239 --> 00:53:14,920 Speaker 1: There ought to be some effort on his path, on 908 00:53:14,960 --> 00:53:18,399 Speaker 1: his pot rather to say, and therefore, I want to 909 00:53:18,440 --> 00:53:22,719 Speaker 1: try and repair the damage is done by this, some 910 00:53:22,880 --> 00:53:26,839 Speaker 1: kind of criminal justice initiative, some kind of effort for 911 00:53:26,880 --> 00:53:35,200 Speaker 1: those that were scarred. Stopping frisk is being raised as 912 00:53:35,239 --> 00:53:39,520 Speaker 1: the primary objection of the left to vice pres I mean, 913 00:53:39,560 --> 00:53:45,160 Speaker 1: to a presidential contender, Mike Bloomberg, stopping frisk, which is 914 00:53:45,560 --> 00:53:48,799 Speaker 1: an interesting issue, and I've said before I think that 915 00:53:49,440 --> 00:53:52,040 Speaker 1: there's a lot that you can there's a lot of 916 00:53:52,080 --> 00:53:55,920 Speaker 1: discussion around whether stopping frisk is worth it or not. 917 00:53:56,120 --> 00:53:58,760 Speaker 1: The numbers would say, based on when they ended stopping 918 00:53:58,800 --> 00:54:03,120 Speaker 1: frisk that at least in the immediate term, there was 919 00:54:03,200 --> 00:54:05,920 Speaker 1: not a major spike in crime or homicides or shootings. 920 00:54:07,000 --> 00:54:09,520 Speaker 1: But then people might also come back and say, okay, 921 00:54:09,520 --> 00:54:14,879 Speaker 1: but these things take time. And with that change in 922 00:54:15,040 --> 00:54:18,799 Speaker 1: perception among the very small percentage of people who are 923 00:54:19,920 --> 00:54:22,480 Speaker 1: committing most of the serious crimes, almost all of the 924 00:54:22,520 --> 00:54:28,160 Speaker 1: serious crimes in any neighborhood, including minority predominant neighborhoods here 925 00:54:28,200 --> 00:54:30,640 Speaker 1: in New York City, that once they believe they have 926 00:54:30,760 --> 00:54:34,160 Speaker 1: greater freedom, that that criminal element within the broader society 927 00:54:34,360 --> 00:54:39,959 Speaker 1: has greater freedom of movement, greater freedom of action, than 928 00:54:40,840 --> 00:54:43,719 Speaker 1: over time, that results in more crime. And look, it's 929 00:54:43,719 --> 00:54:49,400 Speaker 1: a it is a broad, broad based criminal justice philosophical discussion. 930 00:54:50,560 --> 00:54:53,600 Speaker 1: But I do think it's fascinating that this is the 931 00:54:53,600 --> 00:54:56,080 Speaker 1: way that they're going after Bloomberg, as well as bringing 932 00:54:56,160 --> 00:54:57,719 Speaker 1: up all of his old comments. But the thing about 933 00:54:57,760 --> 00:55:02,799 Speaker 1: the old comments is that Democrats don't care. They really 934 00:55:02,800 --> 00:55:05,000 Speaker 1: that they don't really care about and I'll tell you 935 00:55:05,000 --> 00:55:07,799 Speaker 1: this too. If they believe this is going to be 936 00:55:07,840 --> 00:55:10,960 Speaker 1: such a test of what the principles of the left, 937 00:55:11,000 --> 00:55:15,319 Speaker 1: if there are any what those principles are, because if 938 00:55:15,400 --> 00:55:18,080 Speaker 1: they believe that the only way if the left, the 939 00:55:18,120 --> 00:55:21,040 Speaker 1: Democratic Party believes the only way they can stop Trump 940 00:55:22,040 --> 00:55:25,920 Speaker 1: is to get on board with a former Republican liberal 941 00:55:26,040 --> 00:55:31,600 Speaker 1: billionaire from New York City who has issues like stopping 942 00:55:31,640 --> 00:55:33,959 Speaker 1: frisk in his past his mayor, as well as saying, 943 00:55:33,960 --> 00:55:35,799 Speaker 1: I mean he said, he said stuff about women that 944 00:55:37,120 --> 00:55:40,319 Speaker 1: you know would be a problem for a lot of candidates, 945 00:55:40,840 --> 00:55:43,160 Speaker 1: I mean, Trump obviously with it. Please, you don't have 946 00:55:43,200 --> 00:55:45,280 Speaker 1: to tell me. All we ever hear about is Trump's 947 00:55:45,320 --> 00:55:47,640 Speaker 1: crash with women and Trump did this and the Billy 948 00:55:47,719 --> 00:55:50,279 Speaker 1: Bush tape, and I please, I know all about that. 949 00:55:50,360 --> 00:55:54,520 Speaker 1: I'm just saying they would raise this just because Trump 950 00:55:54,880 --> 00:55:57,080 Speaker 1: has gotten attacked, And it doesn't mean other people wouldn't 951 00:55:57,080 --> 00:56:01,960 Speaker 1: get attacked on those issues. But they really think or 952 00:56:02,000 --> 00:56:05,960 Speaker 1: will be willing to forget all about all this. I 953 00:56:05,960 --> 00:56:09,160 Speaker 1: think they're willing to put it all aside if it 954 00:56:09,200 --> 00:56:11,800 Speaker 1: means that they have their best shot to defeat defeat 955 00:56:11,840 --> 00:56:17,000 Speaker 1: Donald Trump. I also think it's interesting that Bloomberg doesn't 956 00:56:17,040 --> 00:56:21,440 Speaker 1: really have a home in the in the Democratic Party 957 00:56:21,480 --> 00:56:25,279 Speaker 1: today based on what he thinks he can accomplish or 958 00:56:25,280 --> 00:56:28,680 Speaker 1: what he would want to do that would make people 959 00:56:29,280 --> 00:56:31,040 Speaker 1: have a better life, or whatever I mean here is 960 00:56:31,080 --> 00:56:35,600 Speaker 1: part of Bloomberg's. What I'm trying to illustrate here, and 961 00:56:35,640 --> 00:56:40,080 Speaker 1: these are the nuances of bloomberg Ism, is that the 962 00:56:40,160 --> 00:56:44,360 Speaker 1: Democratic Party has ceased to be first and foremost about 963 00:56:44,360 --> 00:56:46,520 Speaker 1: what it used to pretend to be, which was helping 964 00:56:46,600 --> 00:56:51,200 Speaker 1: working class people, poor people, and minorities have better lives. 965 00:56:51,520 --> 00:56:55,680 Speaker 1: Now the Democratic Party has really morphed into an ideologically 966 00:56:55,880 --> 00:57:02,560 Speaker 1: based activist group that seeks to destroy political rivals and 967 00:57:02,600 --> 00:57:06,839 Speaker 1: then wants to foist a far left socialist agenda on 968 00:57:06,880 --> 00:57:09,799 Speaker 1: all of us. That's a different thing than you know, hey, 969 00:57:09,920 --> 00:57:13,479 Speaker 1: I want to have better schools and have a little 970 00:57:13,480 --> 00:57:15,560 Speaker 1: more funding for it. I mean that that was an 971 00:57:15,560 --> 00:57:20,200 Speaker 1: incremental socialism. They've largely abandoned that incremental socialism, which can, 972 00:57:20,240 --> 00:57:22,280 Speaker 1: at least in the short term, look like it's trying 973 00:57:22,280 --> 00:57:25,440 Speaker 1: to address real problems and bring in a revolutionary new 974 00:57:25,560 --> 00:57:30,480 Speaker 1: version of American society under this umbrella of socialism. So 975 00:57:30,720 --> 00:57:33,960 Speaker 1: this is a monumental shift within the Democratic Party, and 976 00:57:34,040 --> 00:57:36,440 Speaker 1: so they're not speaking about things in the way that 977 00:57:36,480 --> 00:57:38,560 Speaker 1: you've heard them in the past, whether they meant it 978 00:57:38,640 --> 00:57:41,640 Speaker 1: or not here is a problem. How do I solve it? 979 00:57:41,680 --> 00:57:44,280 Speaker 1: You know, kids aren't doing well enough in public schools. 980 00:57:44,680 --> 00:57:47,000 Speaker 1: Let's put more money into public schools. Now, that doesn't 981 00:57:47,040 --> 00:57:49,240 Speaker 1: solve the problem, and they're wrong. But the point is 982 00:57:49,520 --> 00:57:51,960 Speaker 1: a can go to b Now. It's kids aren't doing 983 00:57:51,960 --> 00:57:56,000 Speaker 1: well enough in public schools, and let's turn the public 984 00:57:56,040 --> 00:57:59,040 Speaker 1: schools into the only school system that anybody can go to, 985 00:57:59,160 --> 00:58:01,480 Speaker 1: because we're going to it's so hard to actually raise 986 00:58:01,520 --> 00:58:03,920 Speaker 1: any money for raise any money to go to private 987 00:58:03,960 --> 00:58:07,240 Speaker 1: school for yourself, or to send anyone to charter schools. 988 00:58:07,480 --> 00:58:09,200 Speaker 1: And oh, by the way, these schools are going to 989 00:58:09,240 --> 00:58:12,040 Speaker 1: be indoctrination factories for the little socialists of the future, etc. 990 00:58:12,240 --> 00:58:14,440 Speaker 1: Et cetera, et cetera. Right, I It's just it's a 991 00:58:14,520 --> 00:58:18,800 Speaker 1: different a different tone you could say in the Democrats today. 992 00:58:19,080 --> 00:58:24,000 Speaker 1: And you know, here's, for example, what Bloomberg says about 993 00:58:24,040 --> 00:58:29,520 Speaker 1: his political goals Play thirteen. I've been working on these 994 00:58:29,520 --> 00:58:33,200 Speaker 1: issues of racial equality for years, and in the White House, 995 00:58:33,280 --> 00:58:36,760 Speaker 1: I will bring together a diverse team to double down 996 00:58:36,880 --> 00:58:40,040 Speaker 1: on that work. Everything we've ever tried to do in 997 00:58:40,080 --> 00:58:44,040 Speaker 1: public life comes from one motivation. I've always worked to 998 00:58:44,160 --> 00:58:47,960 Speaker 1: help people live the longest, healthiest, most fulfilling lives they 999 00:58:48,000 --> 00:58:51,480 Speaker 1: possibly can, to make the real promise of freedom and 1000 00:58:51,560 --> 00:58:55,440 Speaker 1: equality for everyone in our country, and to help make 1001 00:58:55,480 --> 00:58:58,680 Speaker 1: the world a better place for our kids, our grandkids, 1002 00:58:58,760 --> 00:59:04,560 Speaker 1: our neighbors, and our community. That's not what Democrat base 1003 00:59:04,800 --> 00:59:08,320 Speaker 1: voters really want to hear these days. No, that's that 1004 00:59:08,440 --> 00:59:11,720 Speaker 1: sounds at that sounds way too old school politician want 1005 00:59:11,720 --> 00:59:14,720 Speaker 1: to help people lead longer, healthier, more fulfilling lives and 1006 00:59:14,920 --> 00:59:18,320 Speaker 1: enacting policy that will accomplish those goals. No, no no, it's 1007 00:59:18,320 --> 00:59:21,680 Speaker 1: not accomplishing goals, it's what feels good. What feels good 1008 00:59:21,680 --> 00:59:25,120 Speaker 1: to Democrats today is saying that there are thirty seven genders, 1009 00:59:25,200 --> 00:59:29,200 Speaker 1: that there is no such thing as there's no such 1010 00:59:29,240 --> 00:59:34,080 Speaker 1: thing as biological the biological determinism of sex. It doesn't 1011 00:59:34,080 --> 00:59:37,480 Speaker 1: really matter. What feels good today is to reject the 1012 00:59:37,640 --> 00:59:40,919 Speaker 1: history of socialism destroying economies and pretend that it's never 1013 00:59:40,920 --> 00:59:43,120 Speaker 1: really been tried properly and we'll do it better now. 1014 00:59:44,520 --> 00:59:46,840 Speaker 1: To tell people, I mean, just just go down the 1015 00:59:47,000 --> 00:59:50,400 Speaker 1: list of what gets the climate change is an existential 1016 00:59:50,400 --> 00:59:53,440 Speaker 1: threat to the whole world, and no one really is 1017 00:59:53,480 --> 00:59:56,200 Speaker 1: going to change their lifestyle, but through government policy that 1018 00:59:56,280 --> 00:59:59,000 Speaker 1: ruins the economy will save the world, even though the 1019 00:59:59,080 --> 01:00:01,320 Speaker 1: US is twelve percent and of overall CEO two missions. 1020 01:00:01,320 --> 01:00:03,120 Speaker 1: We'll get into some of the climate change craziness in 1021 01:00:03,160 --> 01:00:08,200 Speaker 1: a few moments. Bloomberg doesn't really have a home in 1022 01:00:08,240 --> 01:00:12,880 Speaker 1: that political party. Bloomberg is not somebody who they can 1023 01:00:12,920 --> 01:00:15,320 Speaker 1: look to is, but they'll if they got no choice. 1024 01:00:15,600 --> 01:00:18,760 Speaker 1: If it's Bloomberg er Trump, will the Bernie Bros. Go along? 1025 01:00:20,440 --> 01:00:22,760 Speaker 1: I mean, he's certainly trying to do what he can 1026 01:00:23,280 --> 01:00:26,880 Speaker 1: to blunt the attacks on him regarding racism and some 1027 01:00:26,920 --> 01:00:29,880 Speaker 1: of the comments he's made in the past. Here's a 1028 01:00:29,920 --> 01:00:33,400 Speaker 1: Bloomberg pitch that you would think voters that view politics 1029 01:00:33,400 --> 01:00:35,920 Speaker 1: as a transactional exercise of what are you going to 1030 01:00:35,960 --> 01:00:38,680 Speaker 1: do for me? You'd think that this might have some residence. 1031 01:00:38,680 --> 01:00:40,520 Speaker 1: But in today's Democratic Party, I do not think it 1032 01:00:40,560 --> 01:00:45,000 Speaker 1: will at all. Play twelve and we're going to triple 1033 01:00:45,040 --> 01:00:48,480 Speaker 1: the wealth of black families to substantially close the racial 1034 01:00:48,880 --> 01:00:52,320 Speaker 1: wealth gap. Together. Let me tell you we will get 1035 01:00:52,400 --> 01:00:54,160 Speaker 1: it done. I know how to do it. We did 1036 01:00:54,200 --> 01:00:55,880 Speaker 1: it in New York City. We can do it here. 1037 01:00:56,680 --> 01:00:59,800 Speaker 1: Part of our work will involve helping more black Americans 1038 01:01:00,040 --> 01:01:03,160 Speaker 1: get on track to a successful career, and that means 1039 01:01:03,240 --> 01:01:06,560 Speaker 1: we will trip with funding for historically back colleges and 1040 01:01:06,680 --> 01:01:12,720 Speaker 1: universities like Alabama State, which I visited last weekend and 1041 01:01:12,880 --> 01:01:18,320 Speaker 1: Texas Southern just down the road here in Houston. Go Tigers. 1042 01:01:18,360 --> 01:01:22,800 Speaker 1: What do you mean, Boo, Go Tiger? Does anyone think 1043 01:01:22,840 --> 01:01:25,680 Speaker 1: that that's really gonna work from Bloomberg? I don't know. 1044 01:01:26,640 --> 01:01:29,800 Speaker 1: I I doubt it. I doubt it. Bloomberg's not woke 1045 01:01:30,880 --> 01:01:34,800 Speaker 1: and you have to at least talk to talk when 1046 01:01:34,840 --> 01:01:36,360 Speaker 1: it comes to being woke to be a Democrat in 1047 01:01:36,440 --> 01:01:38,760 Speaker 1: good standing, at least a Democrat in good standing with 1048 01:01:38,760 --> 01:01:41,800 Speaker 1: the media, with the left. So I don't know if 1049 01:01:41,800 --> 01:01:43,480 Speaker 1: anything will work, But I just think it's so interesting 1050 01:01:43,480 --> 01:01:46,480 Speaker 1: that he's he's going around saying, Hey, I want to 1051 01:01:46,520 --> 01:01:50,320 Speaker 1: make democrat and just Americans, but I want to people's 1052 01:01:50,360 --> 01:01:54,320 Speaker 1: lives better through the following initiatives, let's say, and Bertie 1053 01:01:54,400 --> 01:01:58,280 Speaker 1: Sanders is just promising, you know, fairy tales and nonsense. 1054 01:01:59,120 --> 01:02:04,000 Speaker 1: And somehow how Bernie Sanders, according to the Bernie bros. 1055 01:02:04,160 --> 01:02:07,120 Speaker 1: Is the one that's really gonna say, you know, that's 1056 01:02:07,160 --> 01:02:08,880 Speaker 1: really going to do the most good for people. It's 1057 01:02:09,000 --> 01:02:11,320 Speaker 1: it's crazy, but this is where we are, and I 1058 01:02:11,360 --> 01:02:12,920 Speaker 1: think this is how you're going to see this continue 1059 01:02:13,160 --> 01:02:17,880 Speaker 1: to play out going forward. So the Bloomberg factor, he's 1060 01:02:17,880 --> 01:02:19,120 Speaker 1: on the d oh, I don't even mention he's on 1061 01:02:19,120 --> 01:02:22,840 Speaker 1: the debate stage. Tomorrow, He's gonna be on debate stage Mini, Mike, 1062 01:02:23,120 --> 01:02:26,440 Speaker 1: it's gonna be up there. It's like, do I really 1063 01:02:26,560 --> 01:02:31,760 Speaker 1: have to explain to the fellow Democrats who are kind 1064 01:02:31,800 --> 01:02:36,040 Speaker 1: of dumb and very very poor, even Tom sty or 1065 01:02:36,120 --> 01:02:39,120 Speaker 1: Tom you're like a baby billionaire. You're not even like 1066 01:02:39,120 --> 01:02:42,080 Speaker 1: a real billionaire. You're like barely a billionaire. Look at 1067 01:02:42,120 --> 01:02:46,240 Speaker 1: that tie. It's absurd. You know, That's that's what you're 1068 01:02:46,240 --> 01:02:48,240 Speaker 1: gonna expect from Bloomberg on the debates. There's no way 1069 01:02:48,240 --> 01:02:51,200 Speaker 1: he's gonna light it up. He's saying, now we can't 1070 01:02:51,240 --> 01:02:55,520 Speaker 1: have medicare for all. That's crazy, it's not gonna work. 1071 01:02:56,480 --> 01:02:59,120 Speaker 1: Why are people he is so stupid on this stage? 1072 01:02:59,160 --> 01:03:01,680 Speaker 1: Why do you not? Okay, Klobe Shaw, you're not an 1073 01:03:01,680 --> 01:03:04,600 Speaker 1: insane person, but you're like, you know, you remind me 1074 01:03:04,600 --> 01:03:07,120 Speaker 1: of like every soccer mom I've ever met. I'm sorry 1075 01:03:07,120 --> 01:03:09,400 Speaker 1: he was that a little sexist. Well, I'm Mike Bloomberg, 1076 01:03:09,480 --> 01:03:12,720 Speaker 1: I say sexist things like this is this is what 1077 01:03:12,760 --> 01:03:15,080 Speaker 1: you're gonna get from Bloomberg on the debate stage. It's 1078 01:03:15,080 --> 01:03:18,880 Speaker 1: not gonna be anything that is mind blowing. Will it 1079 01:03:18,920 --> 01:03:21,760 Speaker 1: really move the numbers? Who knows. But I gotta tell 1080 01:03:21,760 --> 01:03:25,800 Speaker 1: you this, Biden be Biden better be number one or 1081 01:03:25,920 --> 01:03:30,000 Speaker 1: number two in Nevada or else. He's done unless he 1082 01:03:30,560 --> 01:03:33,200 Speaker 1: clearly wins South Carolina. There's no I don't even know 1083 01:03:33,240 --> 01:03:35,080 Speaker 1: if he. I guess he makes his super Tuesdays. He's 1084 01:03:35,080 --> 01:03:38,040 Speaker 1: got the money, but he's he's done. Though. This is 1085 01:03:38,080 --> 01:03:43,080 Speaker 1: a big one. You're in the freedom hunt. This is 1086 01:03:43,120 --> 01:03:50,880 Speaker 1: the Buck Sexton Show podcast. Now Donald Trump he thinks 1087 01:03:50,960 --> 01:03:58,840 Speaker 1: that climate change is hey hoax. Well, I think Donald 1088 01:03:58,960 --> 01:04:03,840 Speaker 1: Trump is a hoax. Oh man, feel the burn. I 1089 01:04:04,120 --> 01:04:10,800 Speaker 1: think that Donald Trump is a hoax. Oh snap. You know, 1090 01:04:11,080 --> 01:04:13,880 Speaker 1: do you remember producer producer Mark Back. I know you 1091 01:04:13,920 --> 01:04:16,560 Speaker 1: wouldn't remember because you were like not even a fetus yet. 1092 01:04:16,760 --> 01:04:18,360 Speaker 1: I remember when I was growing there was a time 1093 01:04:18,640 --> 01:04:20,280 Speaker 1: when when you would say something like that, every would go, 1094 01:04:20,360 --> 01:04:23,640 Speaker 1: oh man, ooh that's cold. Do you ever yeah, like 1095 01:04:23,640 --> 01:04:26,800 Speaker 1: in school everywhere? Oh yeah, but like that's cold. You know, 1096 01:04:27,040 --> 01:04:29,200 Speaker 1: I don't know about that's cold. That's what everyone would say. 1097 01:04:29,280 --> 01:04:31,360 Speaker 1: You're old. That's what I'm saying. There was a time 1098 01:04:31,360 --> 01:04:33,760 Speaker 1: when you say that's cold. There was a time when 1099 01:04:34,360 --> 01:04:36,960 Speaker 1: in the common vernacular, people would say, oh, man, that's fat. 1100 01:04:37,160 --> 01:04:40,280 Speaker 1: pH At you missed that. I think, yeah, I just 1101 01:04:40,320 --> 01:04:44,920 Speaker 1: got called fat. Yeah, but pH at ben that something 1102 01:04:45,040 --> 01:04:48,400 Speaker 1: was was cool or hip. And it turns out if 1103 01:04:48,400 --> 01:04:50,240 Speaker 1: you ever call something hip, you are not being cool. 1104 01:04:50,280 --> 01:04:53,920 Speaker 1: I've since found out. Also now I've I've been I've 1105 01:04:53,960 --> 01:04:57,200 Speaker 1: been chatted once or twice for saying saying lit and 1106 01:04:57,240 --> 01:04:59,680 Speaker 1: then two letters after it, because apparently there's two letters 1107 01:05:00,040 --> 01:05:05,040 Speaker 1: are naughty lit A Oh yes, yes you're not. This 1108 01:05:05,120 --> 01:05:07,960 Speaker 1: is a thing. But also if I say lit, now, 1109 01:05:08,000 --> 01:05:11,000 Speaker 1: I'm like the guy that's walking around in Dad jeans 1110 01:05:11,000 --> 01:05:14,200 Speaker 1: and New Balance sneakers referring to things. Nope, I'm wearing 1111 01:05:15,080 --> 01:05:17,880 Speaker 1: duck shoes I have. I do have the Dad New 1112 01:05:17,880 --> 01:05:20,680 Speaker 1: Balance sneaker wear them often. I gotta have kids, just 1113 01:05:20,680 --> 01:05:23,040 Speaker 1: so I could dress like a dad all the time. 1114 01:05:23,400 --> 01:05:26,080 Speaker 1: I only wear New Balances though, so they're very comfortable. 1115 01:05:26,200 --> 01:05:28,480 Speaker 1: They're very very comfortable. You gotta have comfortable fee if 1116 01:05:28,480 --> 01:05:30,040 Speaker 1: you're gonna be a radio host. This is the truth. 1117 01:05:30,160 --> 01:05:31,560 Speaker 1: You have to walk around the city, go to the 1118 01:05:31,840 --> 01:05:33,400 Speaker 1: you gotta move all over the place. You gotta sit 1119 01:05:33,440 --> 01:05:36,720 Speaker 1: here and do your thing. But anyway, so so Bernie is, 1120 01:05:36,760 --> 01:05:40,400 Speaker 1: oh man, he's got that sick burn. See what I 1121 01:05:40,400 --> 01:05:43,000 Speaker 1: did there, sick burn against Trump calling him a hoox 1122 01:05:43,320 --> 01:05:46,680 Speaker 1: on the climate change thing. I'm never gonna let this go, 1123 01:05:47,240 --> 01:05:50,680 Speaker 1: Bill Nye. The so called science guy has an undergraduate 1124 01:05:50,720 --> 01:05:55,320 Speaker 1: degree in mechanical engineering. That's it, doesn't have a PhD, 1125 01:05:55,480 --> 01:05:59,480 Speaker 1: doesn't have an MD. The science guy is as much 1126 01:05:59,520 --> 01:06:04,600 Speaker 1: of a science expert as anybody that has an undergraduate 1127 01:06:04,640 --> 01:06:09,840 Speaker 1: degree in math or science field, which is fine, but 1128 01:06:10,040 --> 01:06:12,720 Speaker 1: not only that impressive. But he goes on TV and 1129 01:06:12,720 --> 01:06:15,400 Speaker 1: because he has a bow tie and people know him 1130 01:06:15,400 --> 01:06:17,440 Speaker 1: as the science guy, because he used to play with 1131 01:06:17,560 --> 01:06:21,440 Speaker 1: beakers and I know, syringes and whatever else. They don't 1132 01:06:21,440 --> 01:06:22,720 Speaker 1: know whatever the stuff is he used to do in 1133 01:06:22,800 --> 01:06:26,760 Speaker 1: high school biology class. He goes on TV and he's 1134 01:06:26,800 --> 01:06:32,160 Speaker 1: attacking eph chief of staff for her. Well, here, I'll 1135 01:06:32,240 --> 01:06:35,080 Speaker 1: let him make his own stupid comments. Play clip aith please. 1136 01:06:35,720 --> 01:06:39,600 Speaker 1: The other thing that I find striking about she and 1137 01:06:39,680 --> 01:06:44,240 Speaker 1: her husband, Missakara, is they have two kids. They have 1138 01:06:44,320 --> 01:06:48,520 Speaker 1: two young kids, and they're going to inherit this earth, 1139 01:06:49,120 --> 01:06:53,400 Speaker 1: and they're going to have to interact with their parents 1140 01:06:53,480 --> 01:06:56,880 Speaker 1: when their parents have been strong advocates of putting more 1141 01:06:56,920 --> 01:07:00,280 Speaker 1: carbon dioxide in there, and what they do, are you 1142 01:07:00,280 --> 01:07:02,960 Speaker 1: a common in the environment the people that they have 1143 01:07:03,080 --> 01:07:06,520 Speaker 1: hired the Environmental Protection Agency of Way concluding mister Wheeler 1144 01:07:07,680 --> 01:07:12,240 Speaker 1: is confused or try to blur the idea that carbon dioxide, 1145 01:07:12,680 --> 01:07:17,720 Speaker 1: although not a traditional pollutant, is a problem. Carbon dioxide 1146 01:07:17,880 --> 01:07:20,200 Speaker 1: is the problem. Yes, methane is a problem. Some other 1147 01:07:20,240 --> 01:07:23,000 Speaker 1: greenhouse gastles are the problem, but because there is so 1148 01:07:23,120 --> 01:07:26,520 Speaker 1: much carbon dioxide, it is the main thing that we 1149 01:07:26,720 --> 01:07:32,160 Speaker 1: need to address. I promise you there is no there's 1150 01:07:32,200 --> 01:07:35,920 Speaker 1: no future in which normal kids will grow up and say, Mom, Dad, 1151 01:07:37,320 --> 01:07:40,280 Speaker 1: why didn't you stop all the CO two from happening? 1152 01:07:40,840 --> 01:07:42,640 Speaker 1: But this is what the science guy is going on 1153 01:07:42,680 --> 01:07:46,520 Speaker 1: TV saying that an EPA senior EPA official is going 1154 01:07:46,560 --> 01:07:49,480 Speaker 1: to have to deal with, you know, her kids one 1155 01:07:49,520 --> 01:07:51,120 Speaker 1: day looking at her saying how could you not have 1156 01:07:51,160 --> 01:07:53,040 Speaker 1: done more to stop all the CO two in the air? 1157 01:07:53,520 --> 01:07:56,080 Speaker 1: America is only as I've said, I think it's twelve 1158 01:07:56,120 --> 01:07:59,840 Speaker 1: percent now of of global CO two emissions. Put us 1159 01:08:00,280 --> 01:08:04,560 Speaker 1: for a moment whether or not the whole climate change 1160 01:08:04,560 --> 01:08:07,200 Speaker 1: catastrophism is real based on the science, I tell you 1161 01:08:07,240 --> 01:08:09,400 Speaker 1: it's not. And I just point to them being wrong 1162 01:08:09,480 --> 01:08:10,880 Speaker 1: all that. They're just wrong all the time. They just 1163 01:08:10,960 --> 01:08:12,760 Speaker 1: keep being wrong, keep being wrong, keep being wrong. But 1164 01:08:13,200 --> 01:08:15,320 Speaker 1: it's kind of like Democrats about Trump. They they're wrong, 1165 01:08:15,320 --> 01:08:18,080 Speaker 1: they're wrong, they're wrong, but none nothing ever changes. I 1166 01:08:18,200 --> 01:08:20,120 Speaker 1: can't admits that they're wrong. I can't admit that they're 1167 01:08:20,120 --> 01:08:22,639 Speaker 1: really not that smart, not that clever, and certainly not wise. 1168 01:08:23,400 --> 01:08:26,880 Speaker 1: That's way, that's way to way too much at this point. 1169 01:08:26,960 --> 01:08:30,160 Speaker 1: So that's why you have the same thing with the 1170 01:08:30,160 --> 01:08:34,760 Speaker 1: climate catastrophist. They'll keep saying, oh, how you know this 1171 01:08:34,920 --> 01:08:39,000 Speaker 1: time around, we've got the all the scientists agree with us. Well, 1172 01:08:39,040 --> 01:08:41,000 Speaker 1: but what about this scientist he doesn't agree. Oh, that 1173 01:08:41,040 --> 01:08:43,200 Speaker 1: person is paid off by the fossil fuel. It's always 1174 01:08:43,200 --> 01:08:46,080 Speaker 1: it's the same routine, all the time. But Bill ny 1175 01:08:46,200 --> 01:08:47,639 Speaker 1: is telling you that one day you'll have to stare 1176 01:08:47,680 --> 01:08:49,360 Speaker 1: at your kids, and I just wonder if those kids 1177 01:08:49,360 --> 01:08:55,000 Speaker 1: will look at you and say, how dare you? How 1178 01:08:55,120 --> 01:08:58,160 Speaker 1: dare you? Yeah, because you're responsible for all the co 1179 01:08:58,400 --> 01:09:01,120 Speaker 1: two in the world. This is how much how much dumber? 1180 01:09:01,160 --> 01:09:04,639 Speaker 1: Can a comment really be And this is why you know, 1181 01:09:04,920 --> 01:09:07,760 Speaker 1: I'm sorry, but I get I get annoyed every day 1182 01:09:07,800 --> 01:09:10,120 Speaker 1: that I have to throw out throw out my garbage 1183 01:09:10,160 --> 01:09:11,479 Speaker 1: at home, my apartment here New York City, and I 1184 01:09:11,520 --> 01:09:14,639 Speaker 1: have to separate out all this different recycling. Now, it's 1185 01:09:14,680 --> 01:09:17,200 Speaker 1: such a waste of time, it's so dumb. It's not 1186 01:09:17,240 --> 01:09:20,560 Speaker 1: even good for the environment. It doesn't do anything. I'm 1187 01:09:20,600 --> 01:09:23,439 Speaker 1: never gonna let this go. We are we are ruled 1188 01:09:23,479 --> 01:09:28,040 Speaker 1: by idiots when it comes to climate change, environmentalism, and 1189 01:09:28,200 --> 01:09:30,360 Speaker 1: because of that, we care less about things. We spend 1190 01:09:30,439 --> 01:09:33,760 Speaker 1: less time on real issues that affect the environment. You know, 1191 01:09:33,760 --> 01:09:36,400 Speaker 1: we spend less time. And what is really in our 1192 01:09:36,400 --> 01:09:38,280 Speaker 1: water and some of these urban cities is we know 1193 01:09:38,320 --> 01:09:40,200 Speaker 1: we got problems when it comes to clean drinking water, 1194 01:09:40,240 --> 01:09:42,160 Speaker 1: but we don't focus on that. And also what's in 1195 01:09:42,200 --> 01:09:46,360 Speaker 1: the air never mind CEO two, how about like coronavirus particles. 1196 01:09:46,400 --> 01:09:48,840 Speaker 1: You know, there's stuff to be really concerned about and 1197 01:09:48,840 --> 01:09:51,519 Speaker 1: where dollars that are going to the scientific community should 1198 01:09:51,520 --> 01:09:53,800 Speaker 1: be focused. But instead of focusing on that, what do 1199 01:09:53,880 --> 01:09:56,719 Speaker 1: we have? Oh, climate change? Bill Knight. Bill Knight wears 1200 01:09:56,720 --> 01:09:59,040 Speaker 1: a bow tie, so clearly he must be really smart. 1201 01:09:59,320 --> 01:10:03,000 Speaker 1: Clearly he must know a lot of things. That's you know, 1202 01:10:03,040 --> 01:10:07,080 Speaker 1: what he learned from his undergrad degree in engineering. Thanks 1203 01:10:07,080 --> 01:10:10,360 Speaker 1: for listening to The bus Essence Show podcasts. Remember to 1204 01:10:10,400 --> 01:10:14,240 Speaker 1: subscribe on Apple podcasts, the iHeartRadio app, or wherever you 1205 01:10:14,320 --> 01:10:18,479 Speaker 1: get your podcasts. Team, I have some breaking news here. 1206 01:10:19,360 --> 01:10:24,760 Speaker 1: Courtesy of ABC. President Trump is expected to commute the 1207 01:10:24,840 --> 01:10:32,400 Speaker 1: sentence of former Illinois Governor Ron Blogoyevich via multiple senior sources. 1208 01:10:32,880 --> 01:10:37,920 Speaker 1: They'll have more on this. Look at that. President Trump 1209 01:10:38,000 --> 01:10:41,280 Speaker 1: may say that blog may let Rob Blagoevich out. Even remember, 1210 01:10:41,280 --> 01:10:44,680 Speaker 1: this is not a pardon. This would be a commutation, 1211 01:10:44,760 --> 01:10:47,160 Speaker 1: and a commutation just means that there's a lessening of 1212 01:10:47,160 --> 01:10:50,040 Speaker 1: the punishment attached to the sentence. It does not do 1213 01:10:50,360 --> 01:10:54,160 Speaker 1: anything to the actual guilty verdict or the sentence and rights. 1214 01:10:54,200 --> 01:10:57,720 Speaker 1: Your rights are not fully restored after a commutation. I 1215 01:10:57,760 --> 01:10:59,880 Speaker 1: believe maybe maybe the President has the ability to do 1216 01:10:59,880 --> 01:11:03,840 Speaker 1: that too, if they if he specifies it. But you really, 1217 01:11:03,880 --> 01:11:07,280 Speaker 1: just your sentence is end. That's what tends to happen. 1218 01:11:07,320 --> 01:11:09,080 Speaker 1: All right, You've served ten years. You're out now, even 1219 01:11:09,120 --> 01:11:11,960 Speaker 1: though you had a twenty years sentence. Bligoyevich has been 1220 01:11:11,960 --> 01:11:19,200 Speaker 1: in prison for eight years for you know, interesting circumstances. 1221 01:11:19,200 --> 01:11:20,760 Speaker 1: Exactly what was that he was going to sell a 1222 01:11:20,800 --> 01:11:24,720 Speaker 1: sentence seat? They said, talking about a quid pro quo. Um, 1223 01:11:25,080 --> 01:11:27,920 Speaker 1: But I thought this, this is this is very interesting. Um. 1224 01:11:28,200 --> 01:11:30,559 Speaker 1: There doesn't seem to be any good explanation to me 1225 01:11:30,600 --> 01:11:36,439 Speaker 1: of why Bligoyevitch should still be in prison much longer. 1226 01:11:37,320 --> 01:11:39,439 Speaker 1: It doesn't seem to me. You know, I think the 1227 01:11:39,439 --> 01:11:41,720 Speaker 1: guy has suffered enough. The guy's got good hair too. 1228 01:11:41,800 --> 01:11:43,720 Speaker 1: I'll put that out there, so well, we might have 1229 01:11:43,800 --> 01:11:46,439 Speaker 1: more for you later in the day on this one, 1230 01:11:46,640 --> 01:11:50,040 Speaker 1: and I think that that's well. I might not, but 1231 01:11:50,360 --> 01:11:51,760 Speaker 1: we'll have more for you on this tomorrow if it 1232 01:11:51,760 --> 01:11:54,200 Speaker 1: actually ends up happening. Well that I wanted to talk 1233 01:11:54,240 --> 01:11:58,240 Speaker 1: to you about something that I just find interesting. I 1234 01:11:58,320 --> 01:12:00,800 Speaker 1: thought about going into some detail. I'll hear about the 1235 01:12:01,080 --> 01:12:03,400 Speaker 1: latest on all the coronavirus cases, and I just see 1236 01:12:03,520 --> 01:12:06,760 Speaker 1: right now you're getting up to seventy thousand confirmed cases. 1237 01:12:07,120 --> 01:12:10,639 Speaker 1: People are saying it is considerably more deadly than the flu. 1238 01:12:11,120 --> 01:12:13,640 Speaker 1: You know, it's really tough to know if this is 1239 01:12:13,640 --> 01:12:17,439 Speaker 1: going to spread well beyond China. I know there are 1240 01:12:17,439 --> 01:12:19,200 Speaker 1: cases outside of China right now, or if this will 1241 01:12:19,200 --> 01:12:23,760 Speaker 1: be relatively contained, and I don't know how much. I 1242 01:12:23,800 --> 01:12:28,320 Speaker 1: don't know how much the policy should change without knowing 1243 01:12:28,439 --> 01:12:31,360 Speaker 1: that there's a much greatly enhanced risk parameter from where 1244 01:12:31,400 --> 01:12:35,920 Speaker 1: we already are. I think that unfortunately, the media gets 1245 01:12:35,960 --> 01:12:39,320 Speaker 1: caught in this game of well, informing people about the 1246 01:12:39,400 --> 01:12:42,920 Speaker 1: risks to the maximum degree, you're kind of covering yourself, 1247 01:12:42,960 --> 01:12:46,240 Speaker 1: and so that's good. But then also by making the 1248 01:12:46,360 --> 01:12:50,280 Speaker 1: risk perhaps seem even greater than it is, there there's 1249 01:12:50,320 --> 01:12:51,720 Speaker 1: a bit of an incentive for the media to do 1250 01:12:51,760 --> 01:12:54,479 Speaker 1: that because then they can get attention, and there's been media. 1251 01:12:54,720 --> 01:12:59,120 Speaker 1: Media likes attention, Media likes people to watch their shows, 1252 01:12:59,200 --> 01:13:01,880 Speaker 1: click on their stuff, listen to them. So I do 1253 01:13:01,960 --> 01:13:05,720 Speaker 1: think that there's a little bit of a of an 1254 01:13:05,800 --> 01:13:09,400 Speaker 1: incentive there that does not necessarily go in the public interest. 1255 01:13:10,479 --> 01:13:12,679 Speaker 1: So I don't have much for you on coronavirus today. 1256 01:13:12,760 --> 01:13:15,600 Speaker 1: I did have something some thoughts on a couple of 1257 01:13:15,600 --> 01:13:20,200 Speaker 1: issues of science hashtag science. We were just talking about 1258 01:13:20,240 --> 01:13:24,120 Speaker 1: that before with Bill Nye, the science guy, and Bernie 1259 01:13:24,160 --> 01:13:27,600 Speaker 1: Sanders and people that really try to abuse science for 1260 01:13:27,640 --> 01:13:32,240 Speaker 1: political reasons, which is always troubling, and the scientific community 1261 01:13:32,320 --> 01:13:34,200 Speaker 1: is I think increasingly under pressure in a lot of 1262 01:13:34,240 --> 01:13:39,280 Speaker 1: ways to go along with cultural fads and go along 1263 01:13:39,280 --> 01:13:43,360 Speaker 1: with political dictates instead of this is what it is. 1264 01:13:43,400 --> 01:13:45,360 Speaker 1: I mean science. We like to think of science and 1265 01:13:45,360 --> 01:13:47,719 Speaker 1: math we really to think of as areas where there 1266 01:13:47,720 --> 01:13:51,160 Speaker 1: are answers, there are truths. There's not my truth or 1267 01:13:51,200 --> 01:13:54,080 Speaker 1: our truth, there's just truth, which I would say that's 1268 01:13:54,120 --> 01:13:56,519 Speaker 1: the case no matter what field we're talking about, but 1269 01:13:56,600 --> 01:13:59,240 Speaker 1: certainly with math, right, four plus four what is it 1270 01:13:59,280 --> 01:14:02,000 Speaker 1: equal again? Oh, that's right, four plus four equals eight. 1271 01:14:02,040 --> 01:14:04,120 Speaker 1: There's only one answer to that question that's not four 1272 01:14:04,120 --> 01:14:08,280 Speaker 1: plus four equals two million. And this is that very 1273 01:14:08,400 --> 01:14:10,479 Speaker 1: very straightforward statement. If there's a right and there's a 1274 01:14:10,520 --> 01:14:14,680 Speaker 1: wrong extends. We'd like that to extend throughout science. But 1275 01:14:15,360 --> 01:14:18,840 Speaker 1: it's a lot more complicated than that. That brings me 1276 01:14:19,479 --> 01:14:22,400 Speaker 1: to some very interesting studies done out of the UK 1277 01:14:22,680 --> 01:14:27,519 Speaker 1: about how long term offenders, so people that have been 1278 01:14:27,720 --> 01:14:35,280 Speaker 1: criminal offenders stretching from you know, from childhood all the 1279 01:14:35,320 --> 01:14:43,479 Speaker 1: way into adulthood, have different brain structures, observably physically different 1280 01:14:43,760 --> 01:14:47,639 Speaker 1: structures in their brain from people who are not long 1281 01:14:47,760 --> 01:14:51,760 Speaker 1: term offenders. This has been a field of study that 1282 01:14:51,800 --> 01:14:55,240 Speaker 1: has been getting attention for a while. But there's always 1283 01:14:55,000 --> 01:14:58,360 Speaker 1: this tension that I will get into a moment about 1284 01:14:58,400 --> 01:15:00,439 Speaker 1: how far the science is allowed to go. Oh here, 1285 01:15:00,680 --> 01:15:03,439 Speaker 1: but here's just what the uh. This is a study 1286 01:15:03,479 --> 01:15:07,719 Speaker 1: done in the UK, and it's you know, they they've 1287 01:15:07,720 --> 01:15:11,400 Speaker 1: been they've been looking at whether you should be concerned 1288 01:15:11,439 --> 01:15:13,879 Speaker 1: if you have an adolescent particularly we're talking about adolescent 1289 01:15:13,920 --> 01:15:17,400 Speaker 1: males here, because it's right men. We're never allowed to 1290 01:15:17,439 --> 01:15:20,400 Speaker 1: discuss men and women as different in some areas until 1291 01:15:20,520 --> 01:15:22,800 Speaker 1: it comes to things like criminality, where we realize that 1292 01:15:22,880 --> 01:15:30,240 Speaker 1: violent crime is essentially overwhelmingly as a problem of public policy. 1293 01:15:30,479 --> 01:15:33,439 Speaker 1: Violent crime is a male issue, meaning not that the 1294 01:15:33,560 --> 01:15:36,320 Speaker 1: victims are all male, but the people perpetrating violent crimes 1295 01:15:36,360 --> 01:15:39,040 Speaker 1: are over ninety percent mail. All right, so men are 1296 01:15:39,080 --> 01:15:44,040 Speaker 1: the ones that engage in violent crime, not always, but 1297 01:15:44,120 --> 01:15:45,640 Speaker 1: over you know, there are all these shows people love 1298 01:15:45,680 --> 01:15:48,800 Speaker 1: to watch, these shows about you know, like you know, women, 1299 01:15:49,040 --> 01:15:51,400 Speaker 1: women who kill. There it's like they're always they're always 1300 01:15:51,400 --> 01:15:54,960 Speaker 1: poisoning their husbands too, which is really unsettling. That's not 1301 01:15:55,000 --> 01:15:56,960 Speaker 1: the way that I'd want to go, like slow poisoning 1302 01:15:57,200 --> 01:15:59,680 Speaker 1: or things like that. Or it gets violent when they 1303 01:15:59,720 --> 01:16:02,439 Speaker 1: get the the lover involved, you know, and he tries 1304 01:16:02,479 --> 01:16:04,479 Speaker 1: to be a part of the whole plot to get 1305 01:16:04,560 --> 01:16:06,479 Speaker 1: rid of the husbands. They can get the life insurance money. 1306 01:16:07,320 --> 01:16:10,080 Speaker 1: So anyway, the study that they that they're talking about 1307 01:16:10,120 --> 01:16:11,920 Speaker 1: here this isn't. The Guardian, which is a left wing 1308 01:16:12,160 --> 01:16:15,120 Speaker 1: paper in the UK, looked at this and saw that 1309 01:16:15,600 --> 01:16:20,080 Speaker 1: if you are a teenage offender, essentially adolescent males can 1310 01:16:20,120 --> 01:16:24,840 Speaker 1: break the law and it's unlikely. You know, it's clear 1311 01:16:24,920 --> 01:16:29,040 Speaker 1: that they are much less likely to be criminals into 1312 01:16:29,080 --> 01:16:34,320 Speaker 1: adulthood than people who are problems early on in childhood. 1313 01:16:35,920 --> 01:16:39,120 Speaker 1: Research will say quote. They find that adults with a 1314 01:16:39,240 --> 01:16:44,200 Speaker 1: long history of offenses show striking differences in brain structure 1315 01:16:44,760 --> 01:16:47,479 Speaker 1: compared with those who have stuck to the straight and 1316 01:16:47,560 --> 01:16:53,320 Speaker 1: narrow or who transgressed only as adolescence. These findings underscore 1317 01:16:53,360 --> 01:16:56,000 Speaker 1: prior research that really highlights that there are different types 1318 01:16:56,000 --> 01:16:58,720 Speaker 1: of young offenders. They are not all the same, They 1319 01:16:58,760 --> 01:17:02,479 Speaker 1: should not all be treated the same. It could well 1320 01:17:02,520 --> 01:17:06,080 Speaker 1: have just been that life course persistent group were choosing 1321 01:17:06,120 --> 01:17:07,840 Speaker 1: to lead their lives in a difficult way and could 1322 01:17:07,880 --> 01:17:10,080 Speaker 1: have chosen differently. I think what we see with this 1323 01:17:10,240 --> 01:17:13,439 Speaker 1: data is that they're actually operating under some handicap at 1324 01:17:13,439 --> 01:17:16,240 Speaker 1: the level of the brain. She said, adding that while 1325 01:17:16,320 --> 01:17:20,000 Speaker 1: such individuals may have committed serious crimes, the study suggested 1326 01:17:20,080 --> 01:17:25,280 Speaker 1: a level of compassion was needed. Think about what this 1327 01:17:25,320 --> 01:17:27,840 Speaker 1: would do now. By the way, this study only looked 1328 01:17:27,840 --> 01:17:32,439 Speaker 1: at white males, which is interesting. They only that was 1329 01:17:32,439 --> 01:17:35,400 Speaker 1: the only group they were allowed to study in this way. 1330 01:17:36,640 --> 01:17:42,840 Speaker 1: And this is telling us what people who look at 1331 01:17:42,880 --> 01:17:47,639 Speaker 1: at this particular part of science, people who look at 1332 01:17:48,120 --> 01:17:55,000 Speaker 1: neurology and the functioning of the brain, have been basically 1333 01:17:55,080 --> 01:17:57,559 Speaker 1: hinting at for a long time, which is that there 1334 01:17:57,600 --> 01:18:00,479 Speaker 1: are differences in brain structure that an for a whole 1335 01:18:00,479 --> 01:18:05,000 Speaker 1: bunch of things, including aggression intelligence. How do you measure intelligence? 1336 01:18:05,000 --> 01:18:06,880 Speaker 1: Some people measure it as Q, and this thing goes 1337 01:18:06,920 --> 01:18:10,080 Speaker 1: into people talking about I Q and the which is 1338 01:18:10,120 --> 01:18:13,920 Speaker 1: obviously a different The acronyms don't line up. At the 1339 01:18:13,920 --> 01:18:19,960 Speaker 1: point is that there's measurable cognitive ability. And this gets 1340 01:18:19,960 --> 01:18:23,160 Speaker 1: into some very interesting public policy areas. You know, we 1341 01:18:23,240 --> 01:18:28,040 Speaker 1: somehow understand that we have different physical abilities, right, And 1342 01:18:28,120 --> 01:18:30,120 Speaker 1: this is something that I've talked to many of my 1343 01:18:30,120 --> 01:18:33,040 Speaker 1: friends about how when I was a kid, I thought, man, 1344 01:18:33,120 --> 01:18:38,360 Speaker 1: if I if I just trained hard enough, maybe I 1345 01:18:38,360 --> 01:18:41,960 Speaker 1: could be a world class this or a world class athlete. 1346 01:18:42,120 --> 01:18:44,599 Speaker 1: I think the answers for most people, that's not true. 1347 01:18:44,840 --> 01:18:46,920 Speaker 1: There are some people that do have the physical ability 1348 01:18:46,960 --> 01:18:49,120 Speaker 1: and train that hard and therefore and they do become 1349 01:18:49,160 --> 01:18:52,040 Speaker 1: world class athletes. But you know, I was never going 1350 01:18:52,080 --> 01:18:54,920 Speaker 1: to be an All star NBA player, no matter how 1351 01:18:54,920 --> 01:18:56,840 Speaker 1: many jump shots I practice growing up. That was never 1352 01:18:56,840 --> 01:18:59,040 Speaker 1: going to happen. I just didn't have the physicality for it. 1353 01:18:59,040 --> 01:19:02,839 Speaker 1: It wasn't. So we understand that there's God given gifts, 1354 01:19:02,920 --> 01:19:06,200 Speaker 1: God given talents that are physical, that are that are 1355 01:19:06,240 --> 01:19:11,200 Speaker 1: actually something that you uh, you know, you inherit it 1356 01:19:11,240 --> 01:19:15,320 Speaker 1: from your parents essentially, that that you've gotten lucky genetically 1357 01:19:15,360 --> 01:19:18,639 Speaker 1: in this way. But we all also want to we won't. 1358 01:19:18,680 --> 01:19:22,840 Speaker 1: We want to believe that brain structure that we all 1359 01:19:22,920 --> 01:19:27,439 Speaker 1: kind of start from the same basic you know, basic slate, 1360 01:19:28,000 --> 01:19:30,000 Speaker 1: that we're all we all have the same kind of brain, 1361 01:19:30,120 --> 01:19:32,200 Speaker 1: all of our brains have equal capacity, and it's just 1362 01:19:32,800 --> 01:19:37,880 Speaker 1: how hard you study. That's not true, that that's not 1363 01:19:38,080 --> 01:19:40,559 Speaker 1: that doesn't make sense. That would be illogical and it's 1364 01:19:40,600 --> 01:19:44,559 Speaker 1: not scientific. And once you start getting into different none 1365 01:19:44,640 --> 01:19:46,479 Speaker 1: that's not to say that you know, everybody shouldn't read it. 1366 01:19:46,520 --> 01:19:48,080 Speaker 1: You know, this is just like everything else, you want 1367 01:19:48,080 --> 01:19:49,680 Speaker 1: to be the healthiest you can be. Some people are 1368 01:19:49,680 --> 01:19:51,800 Speaker 1: born and just naturally very healthy. Other people have health 1369 01:19:51,800 --> 01:19:53,719 Speaker 1: issues to overcome. But everyone wants to be as healthy 1370 01:19:53,720 --> 01:19:57,280 Speaker 1: as they can be. So it doesn't change your approach 1371 01:19:57,320 --> 01:19:59,799 Speaker 1: to any of this. But when you look at brainst 1372 01:20:00,320 --> 01:20:04,600 Speaker 1: and brain structures start to have associations with specific behaviors, 1373 01:20:04,640 --> 01:20:11,360 Speaker 1: notably violence and criminality, people get very uncomfortable even measuring this. 1374 01:20:12,040 --> 01:20:16,600 Speaker 1: Looking into this, now, some liberal researchers in this in 1375 01:20:16,600 --> 01:20:19,720 Speaker 1: the medical field here are going to take away from 1376 01:20:19,760 --> 01:20:21,920 Speaker 1: this that, well, there's there should be greater I mean here, 1377 01:20:22,000 --> 01:20:25,160 Speaker 1: here's at the bottom quote. It's true that these researches 1378 01:20:25,200 --> 01:20:29,720 Speaker 1: are consistent. Research findings are consistent with the hypothesis that 1379 01:20:29,880 --> 01:20:33,799 Speaker 1: life course persistent anti social behavior arises as a result 1380 01:20:33,840 --> 01:20:42,400 Speaker 1: of abnormal brain development. Um. But and then there's then 1381 01:20:42,640 --> 01:20:46,040 Speaker 1: they get into how there should be greater compassion as 1382 01:20:46,080 --> 01:20:48,920 Speaker 1: a result of this. So there is a liberal mentality 1383 01:20:49,400 --> 01:20:52,200 Speaker 1: that says, well, if we can measure let's say, violent 1384 01:20:52,400 --> 01:20:54,960 Speaker 1: anti When they say anti social behaviors, they mean people 1385 01:20:55,000 --> 01:20:58,360 Speaker 1: that are that are causing problems for other people, often 1386 01:20:58,840 --> 01:21:03,880 Speaker 1: through violence or or threats of violence. So if we 1387 01:21:03,920 --> 01:21:07,920 Speaker 1: can measure violence as a function of brain structure. Then 1388 01:21:09,360 --> 01:21:11,600 Speaker 1: then we start to ask the question, Okay, should we 1389 01:21:11,640 --> 01:21:14,639 Speaker 1: do that? Do we do that? Dude? Do you start 1390 01:21:14,680 --> 01:21:16,320 Speaker 1: to look at this now when you have somebody at 1391 01:21:16,320 --> 01:21:19,120 Speaker 1: a young age who's been arrested a few times at 1392 01:21:19,120 --> 01:21:21,040 Speaker 1: a very young age, and see if this is and 1393 01:21:21,200 --> 01:21:25,240 Speaker 1: what do we do with that information? And do we 1394 01:21:25,280 --> 01:21:27,479 Speaker 1: start to collect that information and large enough numbers that 1395 01:21:27,520 --> 01:21:30,599 Speaker 1: you have aggregate data and then you start to look 1396 01:21:30,600 --> 01:21:34,120 Speaker 1: you know this is This begins to get us toward 1397 01:21:34,800 --> 01:21:38,160 Speaker 1: very similar debates about IQ, where now we are we 1398 01:21:38,160 --> 01:21:44,280 Speaker 1: are told that really IQ measuring is out of style. 1399 01:21:44,560 --> 01:21:47,680 Speaker 1: To say, the least you know to measure IQ is 1400 01:21:47,720 --> 01:21:52,519 Speaker 1: to start to trapes around in areas where we are 1401 01:21:52,520 --> 01:21:54,640 Speaker 1: told that that's not worth it, and it's wrong and 1402 01:21:54,720 --> 01:21:57,519 Speaker 1: it's not exact, and people will be judged based on this. 1403 01:21:59,360 --> 01:22:01,400 Speaker 1: There's a lot we could know about the human brain 1404 01:22:01,560 --> 01:22:04,040 Speaker 1: and the functioning of the human brain and what it 1405 01:22:04,080 --> 01:22:07,400 Speaker 1: means for social policy public policy if we were willing 1406 01:22:07,439 --> 01:22:09,320 Speaker 1: to pursue these things and just get the answers. But 1407 01:22:09,400 --> 01:22:11,200 Speaker 1: the truth is, there are a lot of reasons why 1408 01:22:11,240 --> 01:22:15,559 Speaker 1: we don't just want answers. There are political sensitivities to 1409 01:22:15,720 --> 01:22:18,880 Speaker 1: measuring and mapping out brain function that come into play 1410 01:22:19,000 --> 01:22:22,040 Speaker 1: very quickly. And some of this has been seen before. 1411 01:22:22,080 --> 01:22:25,080 Speaker 1: And as I said, the IQ debate and how that 1412 01:22:25,200 --> 01:22:28,240 Speaker 1: turns into IM and just you can listen to it 1413 01:22:28,320 --> 01:22:32,800 Speaker 1: was fascinating to listen to a debate on a podcast 1414 01:22:33,160 --> 01:22:35,559 Speaker 1: between now I should I don't want to ever give 1415 01:22:35,600 --> 01:22:38,240 Speaker 1: this guy a podcast shout Actually he's horrible. But as 1416 01:22:38,320 --> 01:22:42,920 Speaker 1: Recline and Sam Harris, who's actually a neuroscientist, and they 1417 01:22:42,920 --> 01:22:47,360 Speaker 1: were talking about IQ, and Klein effectively just wants to 1418 01:22:47,360 --> 01:22:49,960 Speaker 1: sit there and just say that Harris talking about IQ 1419 01:22:50,160 --> 01:22:56,080 Speaker 1: and aggregate population differentials in IQ is racist. And Harris 1420 01:22:56,160 --> 01:22:58,200 Speaker 1: is like, I'm an actual scientist and I understand the 1421 01:22:58,280 --> 01:22:59,840 Speaker 1: data and I've looked at this and I'm trying to 1422 01:22:59,840 --> 01:23:02,880 Speaker 1: have an adult conversation about what the implications are of 1423 01:23:02,920 --> 01:23:05,040 Speaker 1: the research of the science that we have, and as 1424 01:23:05,080 --> 01:23:08,800 Speaker 1: our clients just sits there and kind of goes, yeah, yeah, yeah, racist. 1425 01:23:09,280 --> 01:23:12,760 Speaker 1: And that's this sum total of where that conversation goes. 1426 01:23:12,760 --> 01:23:19,000 Speaker 1: And that's just discussing IQ and disparate IQ, disparate IQ 1427 01:23:19,200 --> 01:23:22,840 Speaker 1: levels among aggregate groups, among groups in the aggregate. Right, 1428 01:23:23,720 --> 01:23:26,160 Speaker 1: So you can imagine. And this also came up with 1429 01:23:27,200 --> 01:23:30,439 Speaker 1: with the book The Bell Curve, where even raising the 1430 01:23:30,479 --> 01:23:34,880 Speaker 1: issue of IQ and IQ in the mean for different groups, 1431 01:23:34,880 --> 01:23:39,000 Speaker 1: I mean, the average for different groups was for all eternity, 1432 01:23:41,240 --> 01:23:43,719 Speaker 1: Charles Murray is branded by the left as a racist 1433 01:23:43,720 --> 01:23:46,040 Speaker 1: even for it's one chapter in the book The Bell Curve. 1434 01:23:46,920 --> 01:23:52,240 Speaker 1: Once you start looking into brain structure and effect on violence, 1435 01:23:52,640 --> 01:23:55,920 Speaker 1: everyone becomes very Everyone just becomes very tense about this. 1436 01:23:56,160 --> 01:23:57,840 Speaker 1: And you're going to continue to see this. They're just 1437 01:23:57,880 --> 01:24:01,799 Speaker 1: going to be areas where do we even want science 1438 01:24:01,840 --> 01:24:04,600 Speaker 1: to get us answers? Or would we as a society, 1439 01:24:04,680 --> 01:24:07,559 Speaker 1: or you know, would we just rather not know certain things? 1440 01:24:09,040 --> 01:24:11,080 Speaker 1: These are these are real questions. I mean when when 1441 01:24:11,080 --> 01:24:12,680 Speaker 1: they started looking at this, I mean, imagine if they 1442 01:24:12,720 --> 01:24:15,799 Speaker 1: could scan your kid's brain and let you know, at 1443 01:24:15,800 --> 01:24:18,479 Speaker 1: you know, age eight, your kid has a propensity for violence. 1444 01:24:19,200 --> 01:24:22,120 Speaker 1: Would you want to know that? Would would you want 1445 01:24:22,120 --> 01:24:24,280 Speaker 1: to hear that? And what do we do about it? 1446 01:24:25,240 --> 01:24:28,880 Speaker 1: And then you get into do you medicate preemptively to 1447 01:24:28,960 --> 01:24:33,240 Speaker 1: try to address those brain structures? And there's a there's 1448 01:24:33,240 --> 01:24:36,920 Speaker 1: a lot here that once you start to open this up, 1449 01:24:36,960 --> 01:24:38,880 Speaker 1: you can see, I mean's fascining the human brain. There's 1450 01:24:38,880 --> 01:24:42,160 Speaker 1: so much that we don't know. It's such an amazing system, 1451 01:24:42,800 --> 01:24:45,720 Speaker 1: but it's also tissue at the same time, and once 1452 01:24:45,760 --> 01:24:49,440 Speaker 1: they're talking about measuring gray matter and the differential and 1453 01:24:49,800 --> 01:24:53,360 Speaker 1: behavior from measurable gray matter, you know, thickness of gray 1454 01:24:53,400 --> 01:24:57,559 Speaker 1: matter in certain parts of the brain. Fascinating stuff, also 1455 01:24:58,800 --> 01:25:04,439 Speaker 1: very combustible stuff. You're in the Freedom Hunt. This is 1456 01:25:04,479 --> 01:25:11,320 Speaker 1: the Buck Sexton Show podcast. And then in the same morning, 1457 01:25:11,320 --> 01:25:14,800 Speaker 1: I'm sitting there drinking my coffee as I am known 1458 01:25:14,840 --> 01:25:18,240 Speaker 1: to do, and I see and I'm thinking about the 1459 01:25:18,280 --> 01:25:21,240 Speaker 1: brain and human brain mapping and all the different implications 1460 01:25:21,240 --> 01:25:25,840 Speaker 1: of it, and I see this piece the food that 1461 01:25:25,960 --> 01:25:30,240 Speaker 1: helps battle depression. The brain is not very well understood. 1462 01:25:30,880 --> 01:25:35,040 Speaker 1: It's it's still something that you know, we we think 1463 01:25:35,080 --> 01:25:37,840 Speaker 1: that science really has figured this out. People just assume, oh, yeah, 1464 01:25:37,840 --> 01:25:40,320 Speaker 1: because we can, Hey, we can map the brain. But 1465 01:25:40,360 --> 01:25:42,120 Speaker 1: there's a lot about the brain that we don't understand. 1466 01:25:42,880 --> 01:25:45,120 Speaker 1: And there's also a lot of just about food that 1467 01:25:45,160 --> 01:25:49,200 Speaker 1: we don't understand. And I'm somebody maybe it's a surprise 1468 01:25:49,840 --> 01:25:52,360 Speaker 1: for somebody who's in the conservative media space to be 1469 01:25:52,400 --> 01:25:58,200 Speaker 1: as interested in not alternative explanations of health phenomenon that 1470 01:25:58,439 --> 01:26:01,880 Speaker 1: currently lack explanation, you know. I mean, there are so 1471 01:26:01,880 --> 01:26:04,280 Speaker 1: many different conditions and medical issues you go in for 1472 01:26:05,040 --> 01:26:07,000 Speaker 1: and you ask doctors and they may have a way 1473 01:26:07,040 --> 01:26:09,120 Speaker 1: to treat it, and then I know what it is, 1474 01:26:09,160 --> 01:26:11,719 Speaker 1: but they don't really know what causes it. They don't 1475 01:26:11,760 --> 01:26:15,280 Speaker 1: really know how you got to this point. And when 1476 01:26:15,320 --> 01:26:21,840 Speaker 1: you get into psychiatry and brain body connection, people who 1477 01:26:21,880 --> 01:26:23,920 Speaker 1: work in the field will tell you that it's certainly 1478 01:26:24,000 --> 01:26:26,400 Speaker 1: there and everyone knows it, right. I mean, you know, 1479 01:26:26,439 --> 01:26:29,479 Speaker 1: you get really bad news, you'll feel physical manifestations of that. 1480 01:26:29,520 --> 01:26:32,920 Speaker 1: Well that that clearly shows that the brain can control. 1481 01:26:33,000 --> 01:26:34,360 Speaker 1: You know, you feel it in your gut. You know, 1482 01:26:34,360 --> 01:26:36,320 Speaker 1: you feel gut punch when you hear something really bad. 1483 01:26:37,240 --> 01:26:40,720 Speaker 1: Food is something that we all have this relationship with 1484 01:26:40,720 --> 01:26:42,680 Speaker 1: what we need it. We like it, I mean I 1485 01:26:42,720 --> 01:26:44,640 Speaker 1: like it more than most. We need it. We like it. 1486 01:26:44,680 --> 01:26:47,000 Speaker 1: We know that it's it tastes or it can taste 1487 01:26:47,040 --> 01:26:48,720 Speaker 1: good and you can give us pleasure. We need it 1488 01:26:48,720 --> 01:26:52,280 Speaker 1: for sustenance, but it also plays much a much larger 1489 01:26:52,360 --> 01:26:55,760 Speaker 1: role in health than I think a lot of people 1490 01:26:55,760 --> 01:26:58,439 Speaker 1: don't generally think. Right, it's just oh, I eat enough food, 1491 01:26:58,479 --> 01:27:01,920 Speaker 1: I have enough calories, I'm getting enough food. Well, the 1492 01:27:01,920 --> 01:27:05,360 Speaker 1: different types of food can affect whether or not you're 1493 01:27:05,400 --> 01:27:08,000 Speaker 1: more susceptible to certain diseases. And you know there's all 1494 01:27:08,000 --> 01:27:11,400 Speaker 1: these promises. Man, oh, you know, drink like pomegranate juice. 1495 01:27:11,439 --> 01:27:14,599 Speaker 1: You'll never have it'll help with your heart. I mean, yeah, 1496 01:27:14,800 --> 01:27:17,920 Speaker 1: not really, that's not how it works. But overall, food 1497 01:27:17,960 --> 01:27:21,519 Speaker 1: choices really make a difference. And this food that helps 1498 01:27:21,560 --> 01:27:24,479 Speaker 1: battle depression piece I thought was very interesting. They're looking 1499 01:27:24,520 --> 01:27:28,800 Speaker 1: more and more into just can changes in diet affect 1500 01:27:29,320 --> 01:27:32,680 Speaker 1: the neurochemistry of the brain so that it's an effective 1501 01:27:32,680 --> 01:27:36,519 Speaker 1: treatment for people who mean depression is in the brain. 1502 01:27:36,600 --> 01:27:39,439 Speaker 1: It is a real thing. People that have never dealt 1503 01:27:39,479 --> 01:27:42,320 Speaker 1: with mental illness or been around somebody who has mental illness, 1504 01:27:42,640 --> 01:27:44,320 Speaker 1: it can be tough for them to understand this. But 1505 01:27:44,840 --> 01:27:47,120 Speaker 1: there's a problem in the machine. It'd be like saying 1506 01:27:47,439 --> 01:27:50,120 Speaker 1: my computer has a virus, but that's not really a 1507 01:27:50,200 --> 01:27:52,519 Speaker 1: thing because the computer I can still type the keys, 1508 01:27:52,560 --> 01:27:55,320 Speaker 1: it still comes on, it still has lights. Yeah, but 1509 01:27:55,439 --> 01:27:59,559 Speaker 1: the internal functioning of it, something has gone off, has 1510 01:27:59,560 --> 01:28:05,120 Speaker 1: gone wrong. Food maybe an alternative way to at least 1511 01:28:05,120 --> 01:28:07,720 Speaker 1: help with depression. And there's certainly no side effects to 1512 01:28:07,840 --> 01:28:11,160 Speaker 1: eating healthier food. And basically the article says that something 1513 01:28:11,200 --> 01:28:13,920 Speaker 1: along the lines of the Mediterranean diet, which is just 1514 01:28:14,040 --> 01:28:17,560 Speaker 1: lots of fruits and vegetables, healthy oils and fats, nuts 1515 01:28:17,600 --> 01:28:22,799 Speaker 1: and you know, fish and lean proteins basically, and they 1516 01:28:22,880 --> 01:28:24,720 Speaker 1: say whole grains. I can't really have green because the 1517 01:28:24,720 --> 01:28:28,880 Speaker 1: Celiac disease. That might help with depression. And we're just 1518 01:28:28,960 --> 01:28:32,280 Speaker 1: in the early stages of understanding this too, So I mean, 1519 01:28:32,360 --> 01:28:35,840 Speaker 1: eat a cheeseburger, but also maybe have a salad sometime too, 1520 01:28:35,840 --> 01:28:37,439 Speaker 1: and see if it helps you feel a little bit better. 1521 01:28:37,960 --> 01:28:41,000 Speaker 1: Thanks for listening to the bus sets in show podcasts. 1522 01:28:41,040 --> 01:28:44,840 Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app, or 1523 01:28:44,840 --> 01:28:49,920 Speaker 1: wherever you get your podcasts like Soft Butter on Warm Toast. 1524 01:28:50,280 --> 01:29:02,000 Speaker 1: Time to spread some freedom coast to coast. It's time 1525 01:29:02,080 --> 01:29:07,519 Speaker 1: for roll Call. Roll Call Facebook dot com, slash Buck Sexton, 1526 01:29:07,840 --> 01:29:10,400 Speaker 1: Team Buck at iHeartMedia dot com. If you want to 1527 01:29:10,400 --> 01:29:13,400 Speaker 1: email us, go to Team Buck at iHeartMedia dot com. 1528 01:29:13,479 --> 01:29:15,800 Speaker 1: Let's keep that roll call box full, my friends, We'll 1529 01:29:15,840 --> 01:29:17,880 Speaker 1: get through a lot of it. I got producer Mark 1530 01:29:17,920 --> 01:29:20,880 Speaker 1: actually now he's the wrangler of roll Call, so he 1531 01:29:20,960 --> 01:29:23,880 Speaker 1: makes sure that we get print outs of it now 1532 01:29:23,920 --> 01:29:25,800 Speaker 1: and I get to more of it than I usually would. 1533 01:29:25,960 --> 01:29:28,920 Speaker 1: We've also expanded our time because we don't we're not 1534 01:29:29,000 --> 01:29:32,439 Speaker 1: taking live calls these days. We do a lot of 1535 01:29:32,520 --> 01:29:34,640 Speaker 1: role calls, so your voices can be heard here on 1536 01:29:34,680 --> 01:29:38,600 Speaker 1: the show and there we there, we have it. Um, 1537 01:29:38,680 --> 01:29:43,320 Speaker 1: let's get to it. Daniel Buck love the show. I've 1538 01:29:43,320 --> 01:29:46,599 Speaker 1: been listening since your first Rush Limbaugh fill in. I've 1539 01:29:46,600 --> 01:29:48,479 Speaker 1: always thought of you as almost a brother with all 1540 01:29:48,520 --> 01:29:51,800 Speaker 1: the office base, Big Trouble, Little China and Diehard references. 1541 01:29:52,200 --> 01:29:54,880 Speaker 1: That was until today. How have you not seen Band 1542 01:29:54,920 --> 01:29:58,200 Speaker 1: of Brothers? It is on par with, if not better than, 1543 01:29:58,280 --> 01:30:01,640 Speaker 1: Saving Private Ryan watching Peaky Blinders and go back and 1544 01:30:01,680 --> 01:30:05,479 Speaker 1: watch Band of Brothers. Also, Bernie should hire Commie Bear 1545 01:30:05,560 --> 01:30:08,360 Speaker 1: as a campaign manager. Shields, Shields High, and never forget 1546 01:30:08,400 --> 01:30:12,160 Speaker 1: it's all in the reflexes, Daniel. To be fair, I 1547 01:30:12,200 --> 01:30:15,240 Speaker 1: have seen a couple of episodes of Band of Brothers 1548 01:30:15,240 --> 01:30:18,200 Speaker 1: and it is very, very very good. So I have 1549 01:30:18,280 --> 01:30:19,760 Speaker 1: not seen all of it. I shouldn't have said I 1550 01:30:19,800 --> 01:30:21,360 Speaker 1: haven't seen it. I haven't seen all of it. I've 1551 01:30:21,400 --> 01:30:24,160 Speaker 1: seen a couple of episodes. I should go back and 1552 01:30:24,200 --> 01:30:31,160 Speaker 1: finish it. It's just it's it has been a while. Yeah, 1553 01:30:31,320 --> 01:30:34,240 Speaker 1: Peaky Blinder season five. I'm actually in Narcos right now, 1554 01:30:34,880 --> 01:30:37,320 Speaker 1: Producer Mark, have you not seen Narcos? Did we already 1555 01:30:37,320 --> 01:30:40,160 Speaker 1: talk about this? You've not seen Narcos? Right? I started 1556 01:30:40,160 --> 01:30:41,720 Speaker 1: it and I was kind of like boring to me 1557 01:30:41,760 --> 01:30:44,519 Speaker 1: at first, so I just wow, stopped. Maybe I only 1558 01:30:44,560 --> 01:30:48,360 Speaker 1: saw the first episode or two Ideosmo, you need to 1559 01:30:48,400 --> 01:30:50,439 Speaker 1: go back and push through that. Man, I'm telling you, 1560 01:30:50,439 --> 01:30:53,080 Speaker 1: it's that it's really good. I have to you know, 1561 01:30:53,120 --> 01:30:56,000 Speaker 1: the real story of Pablo Escobar, Like, yeah, of course, Okay, 1562 01:30:56,080 --> 01:30:58,040 Speaker 1: looked into it. Yeah, but I'm just saying, like the 1563 01:30:58,080 --> 01:31:00,479 Speaker 1: stuff that happens because they stay pretty the first two 1564 01:31:00,479 --> 01:31:02,479 Speaker 1: seasons really just about Paulo Lesbar and then they expand 1565 01:31:02,520 --> 01:31:04,759 Speaker 1: it out to the overall drug trade with Polly Cartel 1566 01:31:04,800 --> 01:31:07,200 Speaker 1: and then Mexico. I think you would like to have 1567 01:31:07,200 --> 01:31:08,960 Speaker 1: you seen probably would too. Have you seen The Wire? 1568 01:31:09,880 --> 01:31:11,720 Speaker 1: I started that too and never finished it. But that 1569 01:31:11,800 --> 01:31:14,240 Speaker 1: was a long time ago. The Wire was when I 1570 01:31:14,280 --> 01:31:17,200 Speaker 1: was a child. That's true, but it does hold up 1571 01:31:17,200 --> 01:31:21,040 Speaker 1: from what I've heard. Yeah, I would I would recommend. Yeah, 1572 01:31:21,160 --> 01:31:23,400 Speaker 1: I would say first Narcos because it's a little more current, 1573 01:31:23,760 --> 01:31:26,680 Speaker 1: but The Wires are a great show too. What is 1574 01:31:26,720 --> 01:31:28,400 Speaker 1: your favorite show of all time? Do you have one? 1575 01:31:28,960 --> 01:31:31,880 Speaker 1: I mean, where are we going? Genre like comedy? You know, 1576 01:31:32,320 --> 01:31:34,280 Speaker 1: I mean you can't put a sitcom up against the 1577 01:31:34,320 --> 01:31:37,320 Speaker 1: dramama drama? Are you like on the Shield guy? Well, 1578 01:31:37,360 --> 01:31:39,400 Speaker 1: breaking bad? No? No, we agree on this, Okay, Yeah, 1579 01:31:39,520 --> 01:31:41,400 Speaker 1: it's the best show of all time. I think that's fair. 1580 01:31:41,680 --> 01:31:43,120 Speaker 1: I think it's the best show of all time for 1581 01:31:43,200 --> 01:31:45,600 Speaker 1: for a drama. Do you what's your favorite comedy? Seinfeld? 1582 01:31:46,320 --> 01:31:48,320 Speaker 1: We talked about this, Yeah, and I'm like, like a 1583 01:31:48,320 --> 01:31:51,040 Speaker 1: total savage ipre for friends, which is completely I know, 1584 01:31:51,040 --> 01:31:53,920 Speaker 1: it's unacceptable, it's unacceptable, it's unsophisticated. It's a bad thing. 1585 01:31:54,040 --> 01:31:55,960 Speaker 1: I mean, I would agree with you, but yeah, but 1586 01:31:56,040 --> 01:31:59,599 Speaker 1: I mean I know. Yeah. So so there's that. Paul 1587 01:32:00,760 --> 01:32:03,240 Speaker 1: Hey Buck, I am surprised I've never heard a steak 1588 01:32:03,280 --> 01:32:07,320 Speaker 1: aficionado like you mentioned. Try tip. It's hard to find 1589 01:32:07,479 --> 01:32:11,599 Speaker 1: outside of the People's Republic of California, but properly done, 1590 01:32:11,640 --> 01:32:14,439 Speaker 1: it can hold its own against a porterhouse. Next time 1591 01:32:14,479 --> 01:32:16,720 Speaker 1: you're in La, find a good three to four pound one, 1592 01:32:16,800 --> 01:32:19,280 Speaker 1: Find a friend with a grill, and follow Bobby Flay's 1593 01:32:19,360 --> 01:32:23,599 Speaker 1: grilling instructions, especially the resting time. Not only will it 1594 01:32:23,600 --> 01:32:26,519 Speaker 1: be reverse yere tender, but you can do cold sandwiches 1595 01:32:26,560 --> 01:32:31,840 Speaker 1: for a week after. Also got to say shields, Hi, 1596 01:32:32,880 --> 01:32:38,920 Speaker 1: thank you? All right? Cool? Yeah? Man, I've never have 1597 01:32:38,960 --> 01:32:40,679 Speaker 1: you ever had tried tip? I've never heard a tried tip. 1598 01:32:41,320 --> 01:32:43,519 Speaker 1: I've heard of it. I don't know if I've had it. Yeah, 1599 01:32:43,920 --> 01:32:46,680 Speaker 1: that's what I've never had it. I made last night, 1600 01:32:46,720 --> 01:32:50,800 Speaker 1: for the first time ever, a red wine sauce, red 1601 01:32:50,800 --> 01:32:54,400 Speaker 1: wine pan sauce for yeah. Oh yeah, I made a 1602 01:32:54,439 --> 01:32:56,320 Speaker 1: red wine. I was home alone. I figured I got 1603 01:32:56,360 --> 01:32:58,760 Speaker 1: a little time. I had some leftover red wine my 1604 01:32:58,800 --> 01:33:01,800 Speaker 1: parents over on Sunday, A beautiful meal. I actually could 1605 01:33:01,960 --> 01:33:05,479 Speaker 1: so Sunday night I cooked. Am I getting in trouble 1606 01:33:05,479 --> 01:33:06,640 Speaker 1: if I said that I ate Veal? I feel like 1607 01:33:06,640 --> 01:33:08,760 Speaker 1: people are gonna get mad at me. But I've had 1608 01:33:08,800 --> 01:33:13,320 Speaker 1: it right, It's delicious. I'm sorry that it's a baby cow, 1609 01:33:13,400 --> 01:33:16,320 Speaker 1: but it is delicious. Maybe I do need to listen 1610 01:33:16,360 --> 01:33:20,880 Speaker 1: to the anti milk lobby. So anyway, I had veal piccata, 1611 01:33:21,080 --> 01:33:22,920 Speaker 1: So hopefully I'm not going to have Peter throw paint 1612 01:33:22,960 --> 01:33:24,479 Speaker 1: on me when I walk out of the studio. Today. 1613 01:33:24,840 --> 01:33:27,040 Speaker 1: But it was amazing, man. I mean, Peccata is like, 1614 01:33:27,120 --> 01:33:29,080 Speaker 1: when you do it right, that that butter sauce with 1615 01:33:29,080 --> 01:33:31,400 Speaker 1: those capers is out of this world. To get the 1616 01:33:31,400 --> 01:33:34,000 Speaker 1: fresh herbs. So I made that the form and for 1617 01:33:34,080 --> 01:33:37,120 Speaker 1: mom and Dad had a great time, a very very 1618 01:33:37,160 --> 01:33:41,080 Speaker 1: lovely company. We had a whole group come together. And 1619 01:33:41,120 --> 01:33:43,280 Speaker 1: then I had some leftover stuff and so last night 1620 01:33:43,400 --> 01:33:46,720 Speaker 1: I had a steak that I pulled out of the 1621 01:33:46,720 --> 01:33:49,920 Speaker 1: freezer and made a little bit of a I guess 1622 01:33:49,960 --> 01:33:52,720 Speaker 1: it's a border Les sauce. It's really worth it if 1623 01:33:52,720 --> 01:33:54,439 Speaker 1: you get a little bit of red wine and you 1624 01:33:54,520 --> 01:33:56,919 Speaker 1: do that sauce properly. It's so easy. You just need shallots, 1625 01:33:57,000 --> 01:34:01,840 Speaker 1: red wine, plenty of butter, a little bit of fresh 1626 01:34:01,880 --> 01:34:04,400 Speaker 1: herbs and you're good to go. Man, I mean you're 1627 01:34:04,520 --> 01:34:06,640 Speaker 1: salt and pepper. I really think this YouTube page is 1628 01:34:06,640 --> 01:34:09,000 Speaker 1: going to work. Yeah, and my mom has been saying 1629 01:34:09,000 --> 01:34:11,000 Speaker 1: that you really should just start doing like cookie and 1630 01:34:11,120 --> 01:34:13,519 Speaker 1: talking about this stuff like is your apartment kitchen big 1631 01:34:13,600 --> 01:34:15,240 Speaker 1: enough to get cameras? Yeah. I've actually talked to a 1632 01:34:15,240 --> 01:34:16,640 Speaker 1: friend of mine and setting it up. I feel like 1633 01:34:16,680 --> 01:34:18,120 Speaker 1: we could do this. But what we do is i'd 1634 01:34:18,120 --> 01:34:19,720 Speaker 1: have you over. For example, one if we could get 1635 01:34:19,720 --> 01:34:21,439 Speaker 1: the camera set up and I cooked dinner and we 1636 01:34:21,479 --> 01:34:24,000 Speaker 1: would talk about things as I'm cooking, and then we 1637 01:34:24,120 --> 01:34:25,280 Speaker 1: cut it up and make the show, and I have 1638 01:34:25,280 --> 01:34:27,840 Speaker 1: other people from the political world come in and we'd, 1639 01:34:27,920 --> 01:34:29,400 Speaker 1: you know, and I'd make them dinner because I have 1640 01:34:29,439 --> 01:34:33,160 Speaker 1: a kind of an island, you know, an island kitchen setup, small, 1641 01:34:33,240 --> 01:34:35,120 Speaker 1: but it's there's an island, and so someone can sort 1642 01:34:35,160 --> 01:34:37,439 Speaker 1: of sit there at a stool while I'm you know, 1643 01:34:37,479 --> 01:34:40,120 Speaker 1: making the stuff, and I turn around and anyway, it'd 1644 01:34:40,160 --> 01:34:42,040 Speaker 1: be kind of fun. It'd be like every other cooking show, 1645 01:34:42,040 --> 01:34:45,120 Speaker 1: except you talk about politics exactly. Yeah, yeah, yeah, yeah, 1646 01:34:45,240 --> 01:34:49,479 Speaker 1: that's true. We talk about politics crushing libs while crushing 1647 01:34:49,520 --> 01:34:55,200 Speaker 1: black peppers, all that good stuff. Bill, hey buck, It's 1648 01:34:55,200 --> 01:34:57,800 Speaker 1: not Hillary's choice whether or not she'll be Bloomberg's running mate. 1649 01:34:58,280 --> 01:35:00,360 Speaker 1: One thing I've learned about the Clintons is they are 1650 01:35:00,400 --> 01:35:04,400 Speaker 1: always for sale. If Bloomberg believes she is the one, 1651 01:35:04,439 --> 01:35:07,439 Speaker 1: he can definitely afford to pay the price. As a 1652 01:35:07,479 --> 01:35:13,360 Speaker 1: side note, the okay yeah memes will be hilarious. Thank 1653 01:35:13,360 --> 01:35:16,800 Speaker 1: you so much, Bill, I do appreciate that. And yeah, no, 1654 01:35:16,920 --> 01:35:20,960 Speaker 1: I think that's we're in a different realm of buying 1655 01:35:21,000 --> 01:35:24,320 Speaker 1: people off. When we're talking about Bloomberg money, Bloomberg is like, 1656 01:35:24,400 --> 01:35:26,120 Speaker 1: do what I want, I'll change your life. Money. That's 1657 01:35:26,160 --> 01:35:30,719 Speaker 1: a new thing. That's a different thing. Maureen, Hey, buck 1658 01:35:30,760 --> 01:35:34,880 Speaker 1: As always love your show, but I've been scared and 1659 01:35:35,080 --> 01:35:38,679 Speaker 1: perplexed by your insistence that you want Bernie to win 1660 01:35:38,760 --> 01:35:43,240 Speaker 1: the nomination. AOC backs Bernie, and if her guy wins 1661 01:35:43,280 --> 01:35:46,760 Speaker 1: the nomination, that will only empower and embolden her and 1662 01:35:46,920 --> 01:35:50,000 Speaker 1: her ilk even more, and their voices will be even 1663 01:35:50,040 --> 01:35:53,840 Speaker 1: more strident than they are already. Plus there's always a 1664 01:35:53,920 --> 01:35:57,080 Speaker 1: chance he'd actually win. The Dems do cheat, you know. 1665 01:35:57,520 --> 01:36:00,240 Speaker 1: So then what for America you scare me with this Bush? 1666 01:36:00,360 --> 01:36:04,679 Speaker 1: Please explain Biden would be easier for Trump to beat. Also, 1667 01:36:04,760 --> 01:36:06,920 Speaker 1: why do you think Bloomberg will agree to one term? 1668 01:36:07,000 --> 01:36:09,519 Speaker 1: I've never heard him say that. And do you honestly 1669 01:36:09,560 --> 01:36:12,599 Speaker 1: think Clinton's ego will allow her to accept the number 1670 01:36:12,640 --> 01:36:15,439 Speaker 1: two spot? I sure don't. Other than those two rather 1671 01:36:15,560 --> 01:36:17,840 Speaker 1: bizarre things, I agree with you in every other way 1672 01:36:17,840 --> 01:36:19,160 Speaker 1: about what you think in share with all of us, 1673 01:36:19,200 --> 01:36:21,639 Speaker 1: which keeps us safe and warm at night. All right, Maureen, 1674 01:36:21,720 --> 01:36:26,400 Speaker 1: Thank you? Maureen's She's fired up on these points. She's 1675 01:36:26,680 --> 01:36:29,880 Speaker 1: I don't want to let her down, Okay, I want 1676 01:36:29,920 --> 01:36:32,599 Speaker 1: Bernie to win the nomination just because I want because 1677 01:36:32,640 --> 01:36:34,680 Speaker 1: I'm very confident that Trump would beat him in a 1678 01:36:34,720 --> 01:36:38,639 Speaker 1: general election, and I would I would bet. I would 1679 01:36:38,680 --> 01:36:40,280 Speaker 1: bet a pretty large sum of money for me on 1680 01:36:40,360 --> 01:36:42,080 Speaker 1: that I know where to go to do that bet. 1681 01:36:42,160 --> 01:36:46,120 Speaker 1: So I feel very confident that Trump would be Bernie. 1682 01:36:46,200 --> 01:36:48,040 Speaker 1: And I also think that the country should see where 1683 01:36:48,040 --> 01:36:52,280 Speaker 1: the Democratic Party really is, and that Bernie Sanders as 1684 01:36:52,320 --> 01:36:56,800 Speaker 1: the Democrat nominee as a socialist would finally force us 1685 01:36:56,800 --> 01:36:58,600 Speaker 1: to deal with the fact that the Democratic Party is 1686 01:36:58,640 --> 01:37:02,360 Speaker 1: really a socialist party. As for Bloomberg agreen to one term, 1687 01:37:02,479 --> 01:37:06,000 Speaker 1: that's not a I'm just hypothesizing now, that was completely 1688 01:37:06,560 --> 01:37:08,200 Speaker 1: That was me doing what I make fun of a 1689 01:37:08,240 --> 01:37:10,840 Speaker 1: lot of pundits for doing constantly, I try to do 1690 01:37:10,880 --> 01:37:14,240 Speaker 1: it less, which is just speculating, right that he could 1691 01:37:14,320 --> 01:37:18,760 Speaker 1: do this Hillary. He could ask Hillary, she could say yes, 1692 01:37:18,840 --> 01:37:20,680 Speaker 1: and Bloomberg could say he's going to do one term. 1693 01:37:20,720 --> 01:37:21,840 Speaker 1: But you know what it could have should I mean, 1694 01:37:21,840 --> 01:37:22,960 Speaker 1: I don't know if any of that stuff is going 1695 01:37:23,000 --> 01:37:26,840 Speaker 1: to happen. So do I think Hillary's ego would let her. Yeah, 1696 01:37:26,840 --> 01:37:28,760 Speaker 1: I think Hillary would rather be vice president to be 1697 01:37:28,800 --> 01:37:32,320 Speaker 1: wandering around the woods drinking chardonnay and thinking about yoga class. 1698 01:37:34,200 --> 01:37:36,040 Speaker 1: I think that she would rather be a vice president 1699 01:37:36,040 --> 01:37:37,920 Speaker 1: than that. I don't think that she has any interest in, 1700 01:37:38,479 --> 01:37:40,360 Speaker 1: you know, just being sort of like a you know, 1701 01:37:40,439 --> 01:37:44,519 Speaker 1: hanging out, being a grandma and all that. So, yeah, 1702 01:37:44,560 --> 01:37:49,920 Speaker 1: that's what I think about that. Ike John Deere is 1703 01:37:50,120 --> 01:37:54,640 Speaker 1: high tech information technology. Bloomberg and AOC are completely out 1704 01:37:54,680 --> 01:37:57,880 Speaker 1: of touch with where their food comes from. Well, I know, man, 1705 01:37:57,880 --> 01:38:01,000 Speaker 1: and it's you know, it was not a strong moment 1706 01:38:01,200 --> 01:38:03,800 Speaker 1: from Bloomberg, even though his comments were a little look, 1707 01:38:03,840 --> 01:38:06,960 Speaker 1: he's a smug, condescending jerk, but they were a little 1708 01:38:06,960 --> 01:38:10,840 Speaker 1: bit misrepresenting his comments and that whole thing so because 1709 01:38:10,880 --> 01:38:14,280 Speaker 1: he was really talking about agriculture through human history, and 1710 01:38:14,880 --> 01:38:20,400 Speaker 1: agriculture in a thousand BC was not particularly sophisticated. Right. 1711 01:38:20,400 --> 01:38:23,760 Speaker 1: It's a different thing now than it was then, but 1712 01:38:23,800 --> 01:38:25,760 Speaker 1: you could argue it was sophisticated for its time because 1713 01:38:25,760 --> 01:38:30,439 Speaker 1: it was what was feeding people. Earnest Buck, you mentioned 1714 01:38:30,479 --> 01:38:32,960 Speaker 1: parasite on the show while your producer was talking about 1715 01:38:32,960 --> 01:38:37,280 Speaker 1: trained to bussan. Both are engaging and go far beyond 1716 01:38:37,320 --> 01:38:39,200 Speaker 1: the type of film they appear to be on the surface. 1717 01:38:39,760 --> 01:38:43,160 Speaker 1: Parasite was translated incredibly well, but what made it great 1718 01:38:43,160 --> 01:38:46,800 Speaker 1: were the constant plot twists blended with comedy. I felt 1719 01:38:46,800 --> 01:38:49,679 Speaker 1: it was an introspective movie, making you ask yourself whose 1720 01:38:49,680 --> 01:38:52,880 Speaker 1: side you're on. Don't want to give it away, all right, Ernest, 1721 01:38:54,040 --> 01:38:56,720 Speaker 1: I will check out Parasite for sure. Trained to Busan 1722 01:38:57,680 --> 01:39:03,080 Speaker 1: probably not, because I find that really violent, scary movie 1723 01:39:03,080 --> 01:39:07,880 Speaker 1: stuff doesn't really sit well with me. Um, I'm not 1724 01:39:07,880 --> 01:39:09,599 Speaker 1: a scar I'm not a scary movie guy. No, Producer 1725 01:39:09,600 --> 01:39:11,080 Speaker 1: Brandon when he when he comes in here to hang 1726 01:39:11,120 --> 01:39:13,519 Speaker 1: out is all about it. You're not You're not a 1727 01:39:13,520 --> 01:39:15,920 Speaker 1: horror movie guy either, right, that's not I'm not rucer 1728 01:39:15,960 --> 01:39:17,920 Speaker 1: Mark is not all Brandon sitting the seat for three 1729 01:39:18,000 --> 01:39:22,280 Speaker 1: days and this is what happens every time with that fail. 1730 01:39:22,720 --> 01:39:25,880 Speaker 1: He brings up some horrific Oh yeah, of course, yeah, yeah, no, 1731 01:39:26,120 --> 01:39:28,599 Speaker 1: you know he's told me on movies. He's like, he's like, no, Buck, 1732 01:39:28,640 --> 01:39:32,839 Speaker 1: I don't think you should watch that movie. And I'm like, uh, whoa, Okay, 1733 01:39:32,920 --> 01:39:36,400 Speaker 1: He's like, I've watched this. It's absolutely horrifying. Don't watch it. Yeah, No, 1734 01:39:36,479 --> 01:39:39,080 Speaker 1: he's in it. He told me that his girlfriend likes 1735 01:39:39,160 --> 01:39:41,120 Speaker 1: Dave Matthews a lot and that that was almost a 1736 01:39:41,160 --> 01:39:43,679 Speaker 1: deal breaker, which is hilarious because I like Dave Matthews too, 1737 01:39:43,720 --> 01:39:45,439 Speaker 1: So I'm glad that he got past that. What's wrong 1738 01:39:45,479 --> 01:39:50,880 Speaker 1: with Matthews? He hates Dave Matthews. He's he's an interesting dude. Man. 1739 01:39:50,920 --> 01:39:52,839 Speaker 1: He's got you know, he's got a lot of tats. 1740 01:39:53,520 --> 01:39:55,960 Speaker 1: He loves guns and roses, and he loves horror movies. 1741 01:39:56,000 --> 01:39:58,639 Speaker 1: Like that's kind of you know, you put those things together. 1742 01:39:58,880 --> 01:40:01,760 Speaker 1: Person has their thick Yeah. Ever, ever, everyone's got that thing. 1743 01:40:01,800 --> 01:40:03,160 Speaker 1: I mean, I'll have to sit here and talk about 1744 01:40:03,200 --> 01:40:06,960 Speaker 1: making you know, red wine reductions. So yeah, we got 1745 01:40:07,000 --> 01:40:10,360 Speaker 1: we go. While I'm watching sports. Yeah, how is by 1746 01:40:10,400 --> 01:40:13,360 Speaker 1: the How is Producer Marks Healthy Diet coming along? Uh? 1747 01:40:13,800 --> 01:40:16,479 Speaker 1: Completely down the tube? Oh yeah, well that's what happens 1748 01:40:16,560 --> 01:40:18,680 Speaker 1: when you're laid up for a few days. Yeah you 1749 01:40:18,760 --> 01:40:20,680 Speaker 1: want ice cream? Yeah. But in general, though, I mean, 1750 01:40:20,720 --> 01:40:22,680 Speaker 1: like get back to you know, when I moved a 1751 01:40:22,720 --> 01:40:25,200 Speaker 1: couple of weeks, I'll have a gym right right in 1752 01:40:25,240 --> 01:40:28,080 Speaker 1: the building. You know, Producer Mark's going to be closer 1753 01:40:28,120 --> 01:40:30,080 Speaker 1: to the hut, which would be greats you know, that'll 1754 01:40:31,000 --> 01:40:32,840 Speaker 1: work everyone. Yeah, exactly is this is gonna be fair. 1755 01:40:32,840 --> 01:40:34,320 Speaker 1: We're all gonna be a good boot around here. I 1756 01:40:34,320 --> 01:40:36,639 Speaker 1: should have just told you that I was moving. No, No, 1757 01:40:36,760 --> 01:40:39,160 Speaker 1: this is great. It's like early Christmas present for me now. 1758 01:40:39,200 --> 01:40:41,439 Speaker 1: But yeah, I've been doing I've been actually getting the 1759 01:40:41,479 --> 01:40:43,479 Speaker 1: gym war and doing dead lifts. And the problem I 1760 01:40:43,520 --> 01:40:46,200 Speaker 1: find is that when you do compound lifts, while they're 1761 01:40:46,280 --> 01:40:48,720 Speaker 1: very effective, I am I'm an old man. Now I'm 1762 01:40:48,760 --> 01:40:51,599 Speaker 1: tired the next like the next day I'm actually fatigued. Sure, 1763 01:40:51,680 --> 01:40:53,559 Speaker 1: it's not really the day of, it's the next day 1764 01:40:53,600 --> 01:40:56,559 Speaker 1: that I'm actually I'm tired to lift back to back days. Well, 1765 01:40:56,560 --> 01:40:58,320 Speaker 1: no I know, but I'm saying the next day I'm tired, 1766 01:40:58,360 --> 01:40:59,519 Speaker 1: like I don't want to do work, I don't want 1767 01:40:59,520 --> 01:41:02,320 Speaker 1: do anything. I'm actually I'm not tired, like I'm sore. 1768 01:41:02,479 --> 01:41:05,000 Speaker 1: I have no energy. Just get into a routine, then 1769 01:41:05,040 --> 01:41:07,280 Speaker 1: you won't be and do cardio in between. We're just 1770 01:41:07,360 --> 01:41:09,360 Speaker 1: drinking enough coffee. I just can't be that guy. I 1771 01:41:09,400 --> 01:41:11,599 Speaker 1: can't be that guy who's on the elliptical. You can't 1772 01:41:11,600 --> 01:41:13,040 Speaker 1: go to the gym and just be on the elliptical 1773 01:41:13,080 --> 01:41:16,479 Speaker 1: for a half hour and go home the elliptical guy. 1774 01:41:16,479 --> 01:41:19,080 Speaker 1: Are you friends with the elliptical guy. I'm the elliptical guy. 1775 01:41:19,160 --> 01:41:21,840 Speaker 1: Sometimes I like it better than the treadmill. All right, fine, 1776 01:41:22,160 --> 01:41:24,240 Speaker 1: producer Mark says, okay to the elliptical guy. I feel 1777 01:41:24,240 --> 01:41:28,120 Speaker 1: better now, Sarah. All right, Buck, you are awesome, Sarah, 1778 01:41:28,160 --> 01:41:31,000 Speaker 1: you are very kind on the coronavirus. Have you listened 1779 01:41:31,000 --> 01:41:34,680 Speaker 1: to war Room Pandemic. They've been reporting on the coronavirus 1780 01:41:34,720 --> 01:41:37,320 Speaker 1: for almost three weeks. It seems to be pretty bad 1781 01:41:37,360 --> 01:41:40,880 Speaker 1: for China, maybe not as bad for the US, but 1782 01:41:41,000 --> 01:41:43,639 Speaker 1: I worry about how this will affect the economy. Keep 1783 01:41:43,720 --> 01:41:46,960 Speaker 1: being awesome. Yeah, the war Room guys, I mean, I've 1784 01:41:47,000 --> 01:41:49,960 Speaker 1: met Steve Bannon once or twice. Obviously, I know Rahim 1785 01:41:50,040 --> 01:41:52,200 Speaker 1: Kassam very well. He's a friend of mine, a great guy. 1786 01:41:53,240 --> 01:41:56,480 Speaker 1: I have not heard their pandemic podcast, but I will 1787 01:41:56,560 --> 01:41:59,760 Speaker 1: check it out. I don't think it's gonna be that 1788 01:42:00,720 --> 01:42:03,960 Speaker 1: big of a deal for America, but it's obviously already 1789 01:42:04,000 --> 01:42:07,800 Speaker 1: a big deal in China. The guy who runs the 1790 01:42:07,920 --> 01:42:12,360 Speaker 1: hospital in Wuhan, which is the center of this whole outbreak, 1791 01:42:12,800 --> 01:42:18,040 Speaker 1: he's dead from the virus. So that's troubling. That's one 1792 01:42:18,040 --> 01:42:20,920 Speaker 1: part of being a healthcare provider that i've I used 1793 01:42:20,960 --> 01:42:22,559 Speaker 1: to think that I wouldn't be okay with being a 1794 01:42:22,600 --> 01:42:24,880 Speaker 1: doctor because I wouldn't want to see like the blood 1795 01:42:24,880 --> 01:42:27,439 Speaker 1: and the guts stuff. But then I think about how 1796 01:42:27,600 --> 01:42:30,479 Speaker 1: someone comes in and they say, oh, and forget about 1797 01:42:30,479 --> 01:42:33,040 Speaker 1: coronavirus is in general, if I was a nurse or 1798 01:42:33,080 --> 01:42:36,960 Speaker 1: a doctor, I don't know if it's medical tech. The 1799 01:42:36,960 --> 01:42:39,640 Speaker 1: person who comes in and takes your readings initially, and 1800 01:42:40,360 --> 01:42:42,840 Speaker 1: someone's breathing in their face, who says that they think 1801 01:42:42,880 --> 01:42:45,200 Speaker 1: they have the flu, Like, don't they get the flu? 1802 01:42:45,640 --> 01:42:47,720 Speaker 1: I mean, aren't they really at risk for getting all 1803 01:42:47,760 --> 01:42:50,960 Speaker 1: these I wouldn't like that. I'm a tiny bit of 1804 01:42:51,000 --> 01:42:54,240 Speaker 1: a hypochondriac. Not that bad, but I definitely I do 1805 01:42:54,360 --> 01:42:58,400 Speaker 1: not like getting sick. That's the most obvious statement ever. 1806 01:42:58,479 --> 01:43:03,160 Speaker 1: No one likes getting sick. Good job, Peter. Watch Beetlejuice 1807 01:43:03,320 --> 01:43:06,599 Speaker 1: both movie and Broadway show. The Broadway show takes from 1808 01:43:06,600 --> 01:43:10,240 Speaker 1: both the movie and the cartoon. It was amazing. Train 1809 01:43:10,320 --> 01:43:14,240 Speaker 1: to Bussan was okay better than most zombie movies. In 1810 01:43:14,320 --> 01:43:17,320 Speaker 1: my opinion, there are only two good zombie movies, Zombie 1811 01:43:17,400 --> 01:43:20,800 Speaker 1: Land and Planet Terror. Zombies are frankly boring and ridiculous. 1812 01:43:20,800 --> 01:43:25,080 Speaker 1: Give me a good alien alien invasion or a vampire movie. Well, Peter, 1813 01:43:25,160 --> 01:43:27,720 Speaker 1: what's the best alien invasion movie? What's the best vampire movie? Man? 1814 01:43:27,720 --> 01:43:30,000 Speaker 1: You can't leave us on the edge like that. And 1815 01:43:30,640 --> 01:43:34,640 Speaker 1: I would say that my favorite zombie movie is the 1816 01:43:34,880 --> 01:43:40,360 Speaker 1: I think it's the Romero directed where they're all stuck 1817 01:43:40,360 --> 01:43:41,800 Speaker 1: in the mall. Do you know what I'm talking about, 1818 01:43:41,800 --> 01:43:45,160 Speaker 1: Producer Mark them Dawn. I think it's Dawn of the 1819 01:43:45,240 --> 01:43:48,599 Speaker 1: Dead where Ving Raimes is in it and they're stuck 1820 01:43:48,600 --> 01:43:51,360 Speaker 1: in a mall. That's a very watchable zombie movie that 1821 01:43:51,439 --> 01:43:54,439 Speaker 1: I think is well executed. Twenty eight Days Later is 1822 01:43:54,479 --> 01:43:58,439 Speaker 1: also a very good, very terrifying zombie movie. The whole 1823 01:43:58,439 --> 01:44:00,519 Speaker 1: innovation of that is what if the zombies run really 1824 01:44:00,520 --> 01:44:03,320 Speaker 1: fast instead of going I walked so slowly. I don't 1825 01:44:03,320 --> 01:44:05,840 Speaker 1: think they say that when they walk, but I'm on radio, 1826 01:44:05,920 --> 01:44:07,960 Speaker 1: so otherwise I was just going to be doing a 1827 01:44:08,040 --> 01:44:10,160 Speaker 1: zombie thing with my hands. And unless you're watching this 1828 01:44:10,240 --> 01:44:14,559 Speaker 1: on Pluto TV, gosh, Pluto TV channel two forty eight, 1829 01:44:14,600 --> 01:44:17,800 Speaker 1: the first you would not have seen my my, my 1830 01:44:18,080 --> 01:44:23,280 Speaker 1: zombie impression. Uh yeah, zombies don't talk. Buck, Michael Buck, 1831 01:44:23,960 --> 01:44:26,000 Speaker 1: you probably knew this was coming when you said none 1832 01:44:26,000 --> 01:44:29,479 Speaker 1: of us can build a computer? Well, what, who exactly 1833 01:44:29,520 --> 01:44:31,799 Speaker 1: did you mean? Seeing that I am a graduate student 1834 01:44:31,800 --> 01:44:34,360 Speaker 1: researcher in the Electrical and Computer engineering department, I am 1835 01:44:34,360 --> 01:44:38,880 Speaker 1: perfectly capable of building a computer, just saying, Also, why 1836 01:44:38,920 --> 01:44:40,679 Speaker 1: am I not in the middle of reading a history 1837 01:44:40,720 --> 01:44:44,439 Speaker 1: book by the great author Buck Sexton as always shields high. Well, Michael, 1838 01:44:44,479 --> 01:44:46,680 Speaker 1: hopefully if we get stuck on the island after a 1839 01:44:46,680 --> 01:44:48,719 Speaker 1: three hour tour, you'll be able to make the computer 1840 01:44:48,760 --> 01:44:50,840 Speaker 1: out of the coconuts. You know what I mean? You 1841 01:44:50,920 --> 01:44:53,680 Speaker 1: got to have a scientist, and I want I'm a 1842 01:44:55,200 --> 01:44:57,439 Speaker 1: I was, Yeah, I was always a Merry Anne fan too. 1843 01:44:57,520 --> 01:45:01,760 Speaker 1: Forget Ginger, Ginger's trouble, Ginger's high maintenance, Mary Anne was 1844 01:45:01,760 --> 01:45:05,800 Speaker 1: Where was that? Did he build a coconut computer? Yeah? 1845 01:45:05,800 --> 01:45:08,160 Speaker 1: He would build like a radio radio out of cocon Yeah. Yeah, 1846 01:45:08,160 --> 01:45:09,960 Speaker 1: like he would build things out of coconuts. I did 1847 01:45:09,960 --> 01:45:12,920 Speaker 1: not watch Gillion Island, obviously, you were not not even 1848 01:45:12,960 --> 01:45:14,920 Speaker 1: close to a live Yeah, but I saw some of it. 1849 01:45:15,120 --> 01:45:17,040 Speaker 1: But you can tell me, you know Ginger or Marry Anne. 1850 01:45:17,320 --> 01:45:18,920 Speaker 1: I feel like that tells you a lot about a guy. 1851 01:45:19,360 --> 01:45:23,479 Speaker 1: I'm a Merry Anne guy, all right, Ginger's trouble, Ginger's trouble. 1852 01:45:24,080 --> 01:45:26,000 Speaker 1: All right. That's gonna be the show for today. If 1853 01:45:26,000 --> 01:45:28,280 Speaker 1: you can check out what I'm gonna say on w 1854 01:45:28,439 --> 01:45:30,639 Speaker 1: o R seven ten am here in New York City 1855 01:45:30,680 --> 01:45:32,920 Speaker 1: Tonight six pm, Shields Hie