1 00:00:00,040 --> 00:00:02,080 Speaker 1: Welcome to the Truth with Lisa Booth. We're we get 2 00:00:02,080 --> 00:00:04,200 Speaker 1: to the heart of the issues that matter to you. 3 00:00:04,680 --> 00:00:05,000 Speaker 2: Today. 4 00:00:05,000 --> 00:00:08,639 Speaker 1: We've got renowned crime expert doctor John Lott, the president 5 00:00:08,680 --> 00:00:10,880 Speaker 1: of the Crime Prevention Research Center, on the show. He 6 00:00:10,920 --> 00:00:14,360 Speaker 1: also previously served as a Senior Advisor for Research and 7 00:00:14,400 --> 00:00:18,360 Speaker 1: Statistics at the US Department of Justice. But he's going 8 00:00:18,400 --> 00:00:22,520 Speaker 1: to break down the shocking statistics on illegal alien crime 9 00:00:23,160 --> 00:00:26,520 Speaker 1: in New York City. What you need to know about 10 00:00:26,520 --> 00:00:30,000 Speaker 1: the crimes being committed in New York. We'll also talk 11 00:00:30,080 --> 00:00:34,519 Speaker 1: about the sanctuary policies about how they endanger Americans, and 12 00:00:34,560 --> 00:00:37,280 Speaker 1: we'll take a look about the alarming outlook under New 13 00:00:37,360 --> 00:00:41,200 Speaker 1: York City's socials Mayor Zoorn Mom Donnie. Also a little 14 00:00:41,200 --> 00:00:44,000 Speaker 1: bit of good news. We'll dig into the record breaking 15 00:00:44,080 --> 00:00:48,279 Speaker 1: plunge in US murders thanks to realinforcement. What you need 16 00:00:48,320 --> 00:00:50,520 Speaker 1: to know about that. But we're going to dig into 17 00:00:50,520 --> 00:00:58,720 Speaker 1: the data and the truth with doctor John Lott. Well, 18 00:00:58,760 --> 00:01:00,760 Speaker 1: John Lott, it's always great to have you on. You 19 00:01:00,800 --> 00:01:04,160 Speaker 1: always dig deeper than other people do and really looking 20 00:01:04,200 --> 00:01:07,319 Speaker 1: at the crime statistics because you know, unfortunately we've really 21 00:01:07,319 --> 00:01:11,000 Speaker 1: seen a desire on behalf of the media and the 22 00:01:11,080 --> 00:01:13,800 Speaker 1: left to lie to us about the state of crime 23 00:01:13,880 --> 00:01:16,520 Speaker 1: in the country and what it all means and pretty 24 00:01:16,600 --> 00:01:20,840 Speaker 1: much every capacity, from police shootings to mass shootings and 25 00:01:20,880 --> 00:01:22,960 Speaker 1: then now what we're going to talk about today with 26 00:01:23,080 --> 00:01:27,000 Speaker 1: crimes committed by illegal aliens. So always appreciate you for 27 00:01:27,080 --> 00:01:29,400 Speaker 1: digging into it and bringing us the truth. So thanks 28 00:01:29,440 --> 00:01:29,880 Speaker 1: for coming on. 29 00:01:30,480 --> 00:01:32,720 Speaker 2: Well, thanks for having me on, Lisa, It's great to 30 00:01:32,720 --> 00:01:34,120 Speaker 2: talk to you. 31 00:01:34,120 --> 00:01:36,240 Speaker 1: You know, I guess we'll kind of start. 32 00:01:36,000 --> 00:01:37,240 Speaker 2: About the big picture. 33 00:01:37,600 --> 00:01:40,639 Speaker 1: Why do you think the media lies so much about 34 00:01:40,720 --> 00:01:43,120 Speaker 1: crime in the country, Because, you know, it kind of 35 00:01:43,120 --> 00:01:45,360 Speaker 1: started out or you know, probably beyond this, but at 36 00:01:45,440 --> 00:01:49,880 Speaker 1: least from my perspective of, you know, after the hold 37 00:01:49,960 --> 00:01:52,800 Speaker 1: hands up, don't shoot and fergus a misery about the 38 00:01:52,880 --> 00:01:56,840 Speaker 1: lies about Michael Brown, and then we sort of had 39 00:01:56,880 --> 00:02:00,200 Speaker 1: this war on police and these lies about police shooting 40 00:02:00,280 --> 00:02:02,640 Speaker 1: and then now that's kind of like seeped into these 41 00:02:02,720 --> 00:02:06,200 Speaker 1: lies about ice and DHS and what they're doing. But 42 00:02:06,480 --> 00:02:09,720 Speaker 1: why do you think the media always desires to sort 43 00:02:09,720 --> 00:02:11,520 Speaker 1: of paint law enforcement as. 44 00:02:12,840 --> 00:02:15,400 Speaker 3: Like the criminals and the villains and the story you know, 45 00:02:15,520 --> 00:02:19,880 Speaker 3: it's pretty strange. The biases are more than just the media. 46 00:02:19,919 --> 00:02:22,760 Speaker 3: It also has to do with the data people at 47 00:02:22,760 --> 00:02:26,240 Speaker 3: the federal government, with the FBI. I think the FBI 48 00:02:26,800 --> 00:02:30,000 Speaker 3: interfered in the election in twenty twenty four in terms 49 00:02:30,000 --> 00:02:32,720 Speaker 3: of hiding the changes in crime. 50 00:02:32,560 --> 00:02:36,079 Speaker 2: Rate data that they had. But you know, the thing 51 00:02:36,120 --> 00:02:40,240 Speaker 2: that's most bizarre about this is they focus a lot, 52 00:02:40,560 --> 00:02:44,080 Speaker 2: the media does on the Democrats on the race of 53 00:02:44,160 --> 00:02:48,760 Speaker 2: the criminals. Okay, in terms of kind of the claimed 54 00:02:48,880 --> 00:02:52,000 Speaker 2: racial bias in the legal system. And you have people 55 00:02:52,120 --> 00:02:55,040 Speaker 2: like Alvin Bragg and New York who wants to go 56 00:02:55,120 --> 00:02:59,280 Speaker 2: and make sure that criminals, the percentage of Blacks who 57 00:02:59,280 --> 00:03:02,040 Speaker 2: are arrested or Hispanics are equal to their shares of 58 00:03:02,080 --> 00:03:05,600 Speaker 2: the population, rather than the rate that they commit crime. 59 00:03:06,560 --> 00:03:10,320 Speaker 2: And what's ignored is who the victims of the crimes are. 60 00:03:11,120 --> 00:03:15,959 Speaker 2: Criminals tend to commit crime against people who are like themselves. 61 00:03:16,480 --> 00:03:20,359 Speaker 2: Ninety percent of blacks who are murdered are murdered by blacks. 62 00:03:21,040 --> 00:03:23,600 Speaker 2: So if you make it so that you're not punishing 63 00:03:25,160 --> 00:03:30,600 Speaker 2: black criminals, who do you think you're hurting You're hurting 64 00:03:30,639 --> 00:03:33,120 Speaker 2: black victims because you're making it so that you're going 65 00:03:33,200 --> 00:03:35,440 Speaker 2: to have more of those. You know, we had Trump 66 00:03:35,920 --> 00:03:41,000 Speaker 2: when he was federalizing law enforcement in DC. You had 67 00:03:41,080 --> 00:03:46,880 Speaker 2: people like Wes Moore, the governor of Democratic governor of 68 00:03:46,920 --> 00:03:50,960 Speaker 2: Maryland and other Democrats saying that Trump was racist because 69 00:03:51,200 --> 00:03:53,640 Speaker 2: and the only reason why he was doing it was 70 00:03:53,720 --> 00:03:57,840 Speaker 2: because you know, DC was heavily black, you know, as 71 00:03:57,880 --> 00:04:01,960 Speaker 2: if somehow that was being an position on black criminals. 72 00:04:02,000 --> 00:04:05,640 Speaker 2: But he ignores is the the latest data we have there, 73 00:04:05,760 --> 00:04:10,320 Speaker 2: ninety six percent of those who were murdered in d 74 00:04:10,520 --> 00:04:16,000 Speaker 2: C were black. And so you go eighteen days without 75 00:04:17,200 --> 00:04:21,840 Speaker 2: anybody being murdered in d C when they federalized the 76 00:04:21,920 --> 00:04:26,000 Speaker 2: law enforcement there, and whose lives do you think you saved? 77 00:04:27,200 --> 00:04:31,880 Speaker 2: And yet somehow that's supposedly racist because they're looking at 78 00:04:31,920 --> 00:04:33,240 Speaker 2: the race of the criminals. 79 00:04:33,240 --> 00:04:35,239 Speaker 1: But I guess, you know, and John to that point, 80 00:04:35,320 --> 00:04:39,120 Speaker 1: you know, so the US Attorney for District of Columbia, 81 00:04:39,160 --> 00:04:41,360 Speaker 1: Janeine Purou obviously I know, you know quite well from 82 00:04:41,400 --> 00:04:44,720 Speaker 1: Fox as well, had said that, you know, they looked 83 00:04:44,760 --> 00:04:47,239 Speaker 1: at at least in the looking at the Metropolitan Police 84 00:04:47,279 --> 00:04:51,080 Speaker 1: Department and found that, you know, they reviewed six thousand 85 00:04:51,200 --> 00:04:56,360 Speaker 1: reports and interviewed over fifty witnesses showing that they intentionally 86 00:04:56,800 --> 00:05:02,360 Speaker 1: misfited crime reports to make crime look artificially lower. And 87 00:05:02,400 --> 00:05:06,000 Speaker 1: you would reference sort of the manipulation of data earlier 88 00:05:06,040 --> 00:05:10,479 Speaker 1: when you were talking how much does this happen elsewhere 89 00:05:10,640 --> 00:05:13,159 Speaker 1: in the country, and then like, you know, how do 90 00:05:13,200 --> 00:05:15,279 Speaker 1: we even know what's happening in the country when it 91 00:05:15,320 --> 00:05:17,479 Speaker 1: comes to crime if none of the data is real. 92 00:05:18,960 --> 00:05:23,040 Speaker 2: Right now? I mean, people thought that the murder data 93 00:05:23,080 --> 00:05:25,680 Speaker 2: at least was solid data. But it turns out in 94 00:05:25,800 --> 00:05:29,680 Speaker 2: DC and Chicago and other places that it looks like 95 00:05:29,720 --> 00:05:33,400 Speaker 2: they're even manipulating the murder data. You know, you had 96 00:05:34,200 --> 00:05:37,599 Speaker 2: a detective in d C who had issued a SWARRNT 97 00:05:37,640 --> 00:05:41,159 Speaker 2: statement that said that a case that was a murder case, 98 00:05:41,240 --> 00:05:46,240 Speaker 2: he was ordered to have it reclassified as taking someone 99 00:05:46,279 --> 00:05:49,279 Speaker 2: to the hospital, so it was taken from a murder 100 00:05:49,720 --> 00:05:52,840 Speaker 2: to not even a crime. You have other cases where 101 00:05:53,800 --> 00:05:58,520 Speaker 2: a murder has been reclassified as unknown or as an 102 00:05:58,600 --> 00:06:04,560 Speaker 2: accidental death. Clearly wasn't so look, and you have other problems, 103 00:06:05,040 --> 00:06:08,120 Speaker 2: you know, New York City for example, and other places 104 00:06:08,120 --> 00:06:13,159 Speaker 2: where you have these sorrows district attorneys. They're refusing to 105 00:06:13,360 --> 00:06:18,719 Speaker 2: prosecute firearms crimes by criminals. And as you probably know, 106 00:06:19,000 --> 00:06:22,640 Speaker 2: the difference between what's a simple assault, which is a 107 00:06:22,680 --> 00:06:26,160 Speaker 2: misdemeanor and an aggravated assault, which is a felony, is 108 00:06:26,240 --> 00:06:31,279 Speaker 2: often whether a weapon was used and sore. And the 109 00:06:31,320 --> 00:06:34,320 Speaker 2: thing is, it's just not the prosecutors, because the prosecutors 110 00:06:34,360 --> 00:06:38,799 Speaker 2: put pressure on the police not to record a weapon 111 00:06:38,880 --> 00:06:43,000 Speaker 2: being involved, because the prosecutors in Alvin Bragg's office don't 112 00:06:43,040 --> 00:06:45,919 Speaker 2: want to take the entire hit for looking at like 113 00:06:46,000 --> 00:06:50,400 Speaker 2: they're reducing the penalties for these criminals, and so they 114 00:06:50,440 --> 00:06:52,719 Speaker 2: put pressure on the police, and the police don't want 115 00:06:52,760 --> 00:06:55,919 Speaker 2: the prosecutors yelling at them all the time, and so 116 00:06:56,600 --> 00:06:59,520 Speaker 2: they just leave that out of their reports. And if 117 00:06:59,560 --> 00:07:03,599 Speaker 2: you have something as a simple simple assault that doesn't 118 00:07:03,640 --> 00:07:07,599 Speaker 2: get into the FBI crime data that's there, so you 119 00:07:07,640 --> 00:07:11,200 Speaker 2: can make it look like crime is falling from the 120 00:07:11,320 --> 00:07:14,240 Speaker 2: FBI reports that get put out every year. And it's 121 00:07:14,320 --> 00:07:18,320 Speaker 2: just another reason why there are two measures of crime 122 00:07:18,880 --> 00:07:21,480 Speaker 2: that we have. We have the FBI data on crimes 123 00:07:21,560 --> 00:07:24,760 Speaker 2: report to police and then we have the National Crime 124 00:07:24,840 --> 00:07:29,200 Speaker 2: Victimization Survey data from the Bureau of Justice Statistics. And 125 00:07:29,240 --> 00:07:32,640 Speaker 2: it's one of the many reasons that those two numbers 126 00:07:32,760 --> 00:07:36,000 Speaker 2: have gone in opposite directions over the last four years. 127 00:07:36,920 --> 00:07:42,000 Speaker 2: The data on reported crime showed an eight percent drop 128 00:07:42,600 --> 00:07:47,560 Speaker 2: in crime during the Biden administration, the National Crime Victimization 129 00:07:47,760 --> 00:07:53,880 Speaker 2: data showed an unprecedented fifty nine percent increase in violent 130 00:07:53,960 --> 00:07:57,360 Speaker 2: crime during that period of time. We've never over any 131 00:07:57,400 --> 00:08:00,640 Speaker 2: four year period of time, we never had such a 132 00:08:00,800 --> 00:08:09,000 Speaker 2: large percentage increase in violent crime. And you know, we 133 00:08:09,120 --> 00:08:13,160 Speaker 2: had all these news stories in twenty twenty four before 134 00:08:13,200 --> 00:08:17,080 Speaker 2: the presidential election, where you'd have headlines from New York 135 00:08:17,080 --> 00:08:22,160 Speaker 2: Times or NPR or whatever that would say crime is falling, 136 00:08:22,360 --> 00:08:25,840 Speaker 2: violent crime is falling, but people mistakenly think that it's increasing. 137 00:08:26,960 --> 00:08:30,120 Speaker 2: And there are many reasons for it. One is we've 138 00:08:30,120 --> 00:08:34,160 Speaker 2: had this huge drop in arrest rates. And one thing 139 00:08:34,160 --> 00:08:37,920 Speaker 2: we've known for many decades is that the rate people 140 00:08:38,040 --> 00:08:41,880 Speaker 2: report crimes to the police depends in part on whether 141 00:08:41,920 --> 00:08:44,080 Speaker 2: they think the criminals are going to be caught and punished. 142 00:08:44,559 --> 00:08:46,560 Speaker 2: If you don't think they're going to be caught and punished, 143 00:08:47,040 --> 00:08:50,200 Speaker 2: you know, why take the time to go and report 144 00:08:50,280 --> 00:08:53,560 Speaker 2: crime to the police. In twenty twenty two, for example, 145 00:08:53,720 --> 00:08:57,800 Speaker 2: only in large cities over a million in populations, so 146 00:08:57,840 --> 00:09:03,120 Speaker 2: there's nine of those cities, only twenty percent of reported 147 00:09:03,440 --> 00:09:08,600 Speaker 2: violent crime resulted in arrest. Only eight percent of total 148 00:09:08,720 --> 00:09:12,080 Speaker 2: violent crime resulted in arrest, and if you look at 149 00:09:12,120 --> 00:09:18,079 Speaker 2: property crimes, only one percent of total property crimes resulted 150 00:09:18,120 --> 00:09:21,240 Speaker 2: in arrest and so and the other thing that you've 151 00:09:21,280 --> 00:09:23,559 Speaker 2: seen is just as we've seen a drop in the 152 00:09:23,640 --> 00:09:27,360 Speaker 2: number of police in the country, particularly after COVID and 153 00:09:29,720 --> 00:09:32,760 Speaker 2: the budget changes, and you mentioned some of the reactions 154 00:09:32,800 --> 00:09:38,640 Speaker 2: to the George Floyd case and others. You know, you 155 00:09:38,720 --> 00:09:43,080 Speaker 2: have a situation where in you know, six seven years ago, 156 00:09:43,120 --> 00:09:45,439 Speaker 2: if you had called up the police, you know, nine 157 00:09:45,440 --> 00:09:48,200 Speaker 2: to one one they send out a police car and 158 00:09:48,200 --> 00:09:51,280 Speaker 2: they take a police report. Now, in many parts of 159 00:09:51,280 --> 00:09:55,200 Speaker 2: the country, you call up and they'll say, well, is 160 00:09:55,240 --> 00:09:57,640 Speaker 2: the criminals stile there? And of course people will almost 161 00:09:57,679 --> 00:10:00,440 Speaker 2: always say the criminals left, and they'll say, well, you 162 00:10:00,440 --> 00:10:02,640 Speaker 2: can come down to the police station and wait in 163 00:10:02,760 --> 00:10:06,280 Speaker 2: line and fill out a police report. And you know, 164 00:10:06,880 --> 00:10:10,040 Speaker 2: you make it more costly, more difficult for people to 165 00:10:10,160 --> 00:10:13,080 Speaker 2: go and get a police report put together. You're going 166 00:10:13,120 --> 00:10:16,960 Speaker 2: to have some people, you know, it may vary how many, 167 00:10:17,000 --> 00:10:18,800 Speaker 2: but you may have some people who are going to say, 168 00:10:18,800 --> 00:10:21,000 Speaker 2: you know, it's just not worth my time because they're 169 00:10:21,000 --> 00:10:23,760 Speaker 2: not going to catch them anyway for property crime. They're 170 00:10:23,800 --> 00:10:25,840 Speaker 2: not going to catch them, and why should I go 171 00:10:25,880 --> 00:10:28,680 Speaker 2: and wait, you know, an hour plus travel time to 172 00:10:28,720 --> 00:10:30,760 Speaker 2: go and get a police report filled out for it. 173 00:10:31,200 --> 00:10:33,200 Speaker 1: Got to take a great commercial break. More with John 174 00:10:33,240 --> 00:10:38,680 Speaker 1: Lott on the other side. You know, we look at 175 00:10:39,559 --> 00:10:42,520 Speaker 1: the reporting recently that the US is poised to end 176 00:10:42,920 --> 00:10:45,080 Speaker 1: twenty twenty five with the largest well I guess now 177 00:10:45,120 --> 00:10:48,360 Speaker 1: we're in twenty twenty six, so ended with the largest 178 00:10:48,400 --> 00:10:51,160 Speaker 1: one year drop in homicides ever recorded. 179 00:10:52,120 --> 00:10:56,079 Speaker 2: Do you believe that or is that I think that's believable, Okay, 180 00:10:56,360 --> 00:10:59,880 Speaker 2: but it's more. It's more than just the largest percentage drop. 181 00:11:00,400 --> 00:11:04,920 Speaker 2: If that percentage drop, which is just the data of October, 182 00:11:05,040 --> 00:11:07,880 Speaker 2: it turns out to be correct, we will have the 183 00:11:08,000 --> 00:11:14,600 Speaker 2: lowest recorded murder rate ever in US history. And twenty 184 00:11:14,679 --> 00:11:18,560 Speaker 2: twenty four the murder rate in the United States was 185 00:11:18,600 --> 00:11:21,959 Speaker 2: about five per hundred thousand was slightly less than that 186 00:11:22,320 --> 00:11:26,320 Speaker 2: four point nine six or something per hundred thousand people. 187 00:11:27,280 --> 00:11:30,160 Speaker 2: The lowest previous murder rate that we ever had in 188 00:11:30,200 --> 00:11:33,560 Speaker 2: the United States was four point five per one hundred thousand. 189 00:11:34,520 --> 00:11:38,319 Speaker 2: It looked up until October it looked like we were 190 00:11:38,360 --> 00:11:42,280 Speaker 2: on track for almost a twenty percent drop and murder, 191 00:11:42,920 --> 00:11:46,080 Speaker 2: so that would bring us down to four or maybe 192 00:11:46,160 --> 00:11:50,000 Speaker 2: even three point nine something murders per hundred thousand people. 193 00:11:50,600 --> 00:11:54,440 Speaker 2: That's an incredible not just drop, but it would be 194 00:11:54,720 --> 00:11:58,960 Speaker 2: incredibly low rate, and it's not surprising to me. I 195 00:11:58,960 --> 00:12:02,400 Speaker 2: think we'll also see a reversal of the trend in 196 00:12:02,600 --> 00:12:05,760 Speaker 2: violent crime. You know, as we've just mentioned, we saw 197 00:12:05,800 --> 00:12:10,440 Speaker 2: this record percentage increase under Biden. I think when the 198 00:12:10,520 --> 00:12:13,800 Speaker 2: data comes out next to this coming September for this 199 00:12:13,880 --> 00:12:16,199 Speaker 2: last year, we're going to see a drop in violent crime. 200 00:12:16,200 --> 00:12:19,680 Speaker 2: And there are multiple reasons for that. One is, you know, 201 00:12:19,720 --> 00:12:25,080 Speaker 2: the FBI has doubled its arrest rates from twenty twenty four. 202 00:12:25,200 --> 00:12:28,480 Speaker 2: You know, you make it more costly, you arrest more criminals, 203 00:12:28,520 --> 00:12:31,920 Speaker 2: you punish them US attorneys around the country who are 204 00:12:31,960 --> 00:12:36,840 Speaker 2: going after criminals, you're going to have less crime. But 205 00:12:37,000 --> 00:12:41,559 Speaker 2: beyond that, just what's happening with illegal aliens. They've concentrated 206 00:12:41,679 --> 00:12:45,720 Speaker 2: on deporting criminal illegal aliens. The latest data that I've 207 00:12:45,760 --> 00:12:50,360 Speaker 2: seen indicates that seventy percent of those that they have 208 00:12:51,240 --> 00:12:55,640 Speaker 2: deported have either a conviction or a charge for a 209 00:12:55,720 --> 00:13:00,800 Speaker 2: criminal activity in the United States. You know, so you've 210 00:13:00,840 --> 00:13:03,560 Speaker 2: removed them so they're not committing crime. But even more 211 00:13:03,600 --> 00:13:06,720 Speaker 2: than that, something that I think people are missing, and 212 00:13:06,760 --> 00:13:10,720 Speaker 2: that is even the criminals that you haven't caught are 213 00:13:10,760 --> 00:13:15,040 Speaker 2: worried about getting deported. And how do they avoid being deported. Well, 214 00:13:15,040 --> 00:13:19,040 Speaker 2: the way that they avoid being deported is to keep 215 00:13:19,080 --> 00:13:21,319 Speaker 2: off of police radar. Well, how do you keep off 216 00:13:21,320 --> 00:13:25,640 Speaker 2: of police radar? You don't commit crimes. And so I 217 00:13:25,679 --> 00:13:29,760 Speaker 2: think even the normal criminals are either not committing crimes 218 00:13:29,840 --> 00:13:32,560 Speaker 2: or at least cutting back on the rate that they're 219 00:13:32,559 --> 00:13:36,360 Speaker 2: committing crimes. So all those things matter. And you know, 220 00:13:36,400 --> 00:13:41,320 Speaker 2: we've had other things like the district attorney in Los 221 00:13:41,360 --> 00:13:45,640 Speaker 2: Angeles and in San Francisco, people who had been Soros 222 00:13:45,880 --> 00:13:49,640 Speaker 2: prosecutors were replaced by people who were tough on crime 223 00:13:50,400 --> 00:13:53,600 Speaker 2: individuals that were there. All those things matter in terms 224 00:13:53,640 --> 00:13:56,480 Speaker 2: of reducing crime. It's not rocket science on how to 225 00:13:56,600 --> 00:13:57,800 Speaker 2: reduce the crime rates. 226 00:13:59,120 --> 00:14:02,040 Speaker 1: You know, originally wanted to start off talking about your 227 00:14:02,120 --> 00:14:04,120 Speaker 1: op ed in the New York Post, but then I 228 00:14:04,160 --> 00:14:06,160 Speaker 1: got sidetracked by my interest in all this. 229 00:14:08,040 --> 00:14:10,120 Speaker 2: You broad in your broad interests. 230 00:14:10,200 --> 00:14:14,400 Speaker 1: Broad interest and so you know that kind of leads 231 00:14:14,440 --> 00:14:18,280 Speaker 1: us to your ed about you know, looking at illegal 232 00:14:18,320 --> 00:14:23,040 Speaker 1: aliens in crime in New York. You looked at your 233 00:14:23,120 --> 00:14:26,840 Speaker 1: up ed sites DHS data showing that illegal immigrants convicted 234 00:14:27,000 --> 00:14:29,360 Speaker 1: of one hundred and forty eight homicides and two hundred 235 00:14:29,360 --> 00:14:33,400 Speaker 1: and sixty sexual predatory offenses in New York prisons and jails. 236 00:14:33,560 --> 00:14:36,280 Speaker 1: You know, I walk us through some of these numbers 237 00:14:36,280 --> 00:14:38,960 Speaker 1: that you found and talk about, like I mean, we're 238 00:14:38,960 --> 00:14:43,480 Speaker 1: talking about real human cost to your American families and 239 00:14:43,520 --> 00:14:46,800 Speaker 1: these victims at the hands of illegal aliens and what 240 00:14:46,800 --> 00:14:49,320 Speaker 1: what's been allowed to take place in the United States 241 00:14:49,360 --> 00:14:50,760 Speaker 1: for for quite some time now. 242 00:14:50,920 --> 00:14:54,960 Speaker 2: You know, it's pretty clear that illegal aliens are committing 243 00:14:55,000 --> 00:14:58,280 Speaker 2: crimes at very high rates compared to their share of 244 00:14:58,320 --> 00:15:02,000 Speaker 2: the population. And New York some recent data from there 245 00:15:02,240 --> 00:15:05,760 Speaker 2: kind of provides a window into how bad this is. 246 00:15:05,960 --> 00:15:11,520 Speaker 2: So ICE has detainers or in December head detainers on 247 00:15:12,400 --> 00:15:17,520 Speaker 2: seven thousand, one hundred and thirteen illegal aliens in the 248 00:15:17,680 --> 00:15:22,840 Speaker 2: jail and prison system in New York State. And as 249 00:15:22,880 --> 00:15:26,200 Speaker 2: you say, these are people there who were there for murder, 250 00:15:26,440 --> 00:15:30,240 Speaker 2: or for sexual assaults or child rape or all sorts 251 00:15:30,240 --> 00:15:33,880 Speaker 2: of other heinous crimes that were there. And so what 252 00:15:33,960 --> 00:15:35,800 Speaker 2: I decided to do was just to say, well, what 253 00:15:36,000 --> 00:15:40,000 Speaker 2: percent of the incarcerated population is that, And there is 254 00:15:40,040 --> 00:15:46,080 Speaker 2: about fifty thousand, slightly over fifty thousand total people incarcerated 255 00:15:46,080 --> 00:15:48,440 Speaker 2: in New York in the prisons, in jails, and so 256 00:15:48,560 --> 00:15:52,640 Speaker 2: that's one hundred and thirteen is fourteen percent of that, 257 00:15:52,920 --> 00:15:56,800 Speaker 2: and that's an underestimate, a clear underestimate of the problem 258 00:15:56,840 --> 00:16:00,600 Speaker 2: for multiple reasons. One reason is New York is not 259 00:16:00,760 --> 00:16:04,560 Speaker 2: assisting ICE in any way in identifying whether the people 260 00:16:04,600 --> 00:16:08,800 Speaker 2: that they have incarcerated are illegal aliens. Two ICE, as 261 00:16:08,840 --> 00:16:13,200 Speaker 2: you I'm sure have heard stories, will camp out at 262 00:16:13,360 --> 00:16:16,920 Speaker 2: when illegal aliens come in and are arrested or are 263 00:16:17,400 --> 00:16:21,640 Speaker 2: charged or convicted, and will take custody of them at 264 00:16:21,640 --> 00:16:25,840 Speaker 2: that point and deport them. In New York, that's been difficult. 265 00:16:25,960 --> 00:16:28,800 Speaker 2: They have a law there that makes it a crime 266 00:16:29,080 --> 00:16:33,760 Speaker 2: for ICE officials federal officials to be in courthouses. That 267 00:16:34,040 --> 00:16:38,480 Speaker 2: was recently upheld by a Democrat judge as being binding. 268 00:16:39,000 --> 00:16:41,880 Speaker 2: My guess is eventually it will be overturned. But for 269 00:16:41,960 --> 00:16:44,720 Speaker 2: part of the year they were able to go and 270 00:16:44,880 --> 00:16:49,119 Speaker 2: be in those types of courthouses, and CBS News reported 271 00:16:49,120 --> 00:16:52,200 Speaker 2: that in for two months this summer, just in New 272 00:16:52,320 --> 00:16:57,440 Speaker 2: York City alone, four hundred and sixty illegal aliens had 273 00:16:57,480 --> 00:17:03,080 Speaker 2: been apprehended while they were being arraigned in courthouses in 274 00:17:03,600 --> 00:17:06,679 Speaker 2: New York City. So that's four hundred and sixty for 275 00:17:06,800 --> 00:17:10,159 Speaker 2: just two months. That's a significant increase in the seven 276 00:17:10,200 --> 00:17:13,199 Speaker 2: thousand one can only imagine for the whole state of 277 00:17:13,240 --> 00:17:18,359 Speaker 2: New York before this federal judge's rule. They're how you know, 278 00:17:18,400 --> 00:17:20,639 Speaker 2: you may be talking about a couple more thousand at 279 00:17:20,720 --> 00:17:27,560 Speaker 2: least for the year. And then there's a third reason, 280 00:17:27,760 --> 00:17:33,160 Speaker 2: and that is we're almost always just talking about Well, 281 00:17:33,600 --> 00:17:36,240 Speaker 2: the thing to recognize, and I mentioned this before, is 282 00:17:36,280 --> 00:17:40,359 Speaker 2: that criminals tend to commit crimes against people who are 283 00:17:40,400 --> 00:17:43,360 Speaker 2: similar to them. That's true by race, it's true by 284 00:17:43,440 --> 00:17:47,320 Speaker 2: socioeconomic status. It's also true by whether they're in the 285 00:17:47,359 --> 00:17:52,439 Speaker 2: country illegally or not. So these illegal criminals will commit 286 00:17:52,480 --> 00:17:58,959 Speaker 2: crimes against everybody, but they'll disproportionately commit crimes against other illegals, 287 00:17:59,000 --> 00:18:03,440 Speaker 2: and those illegal may be somewhat reticent when they're victims 288 00:18:03,480 --> 00:18:05,800 Speaker 2: of crime to go to the police. But the thing 289 00:18:05,880 --> 00:18:10,040 Speaker 2: to do is to compare this fourteen percent with the 290 00:18:10,200 --> 00:18:14,399 Speaker 2: estimated percent of the general population that are illegals. And 291 00:18:14,440 --> 00:18:17,720 Speaker 2: the highest estimate comes from Pew, which says that about 292 00:18:17,800 --> 00:18:22,119 Speaker 2: four point one percent of the population in New York State. 293 00:18:22,480 --> 00:18:24,920 Speaker 2: Are illegals fourteen significant there? 294 00:18:24,960 --> 00:18:27,920 Speaker 1: Yeah, because your point fourteen percent, if they're only you 295 00:18:27,960 --> 00:18:30,440 Speaker 1: said three to four percent of the population. 296 00:18:30,200 --> 00:18:32,520 Speaker 3: That's what's like that significant? 297 00:18:32,720 --> 00:18:38,239 Speaker 2: Yeah, hugely disproportionate. And look, I'm more than likely to 298 00:18:38,280 --> 00:18:43,439 Speaker 2: believe that these different groups that have estimated, including the 299 00:18:43,440 --> 00:18:48,280 Speaker 2: federal government, the share of the population that's illegal, underestimates 300 00:18:48,280 --> 00:18:51,399 Speaker 2: those But even if they've underestimated by a factor of 301 00:18:51,480 --> 00:18:57,080 Speaker 2: two or three, this fourteen percent is still greater than 302 00:18:57,240 --> 00:19:00,280 Speaker 2: anything you could possibly guess in terms of their of 303 00:19:00,320 --> 00:19:05,639 Speaker 2: the population. So they're illegals are disproportionately committing crimes there, 304 00:19:05,720 --> 00:19:12,119 Speaker 2: and you know it's you know, it's really and there 305 00:19:12,119 --> 00:19:14,720 Speaker 2: are other costs to the state, not just the victims 306 00:19:14,720 --> 00:19:19,200 Speaker 2: of crime, but you have the cost of incarceration. They're different. 307 00:19:19,760 --> 00:19:22,240 Speaker 2: The ICE numbers don't break it down by whether the 308 00:19:22,240 --> 00:19:25,359 Speaker 2: people are in prison or in jail, and they're different 309 00:19:25,400 --> 00:19:29,280 Speaker 2: costs of incarcerating them based on what facilities they're in. 310 00:19:29,800 --> 00:19:31,720 Speaker 2: But even if you assume that all of them are 311 00:19:31,720 --> 00:19:35,399 Speaker 2: in prison, which is a lower per prison or cost 312 00:19:36,000 --> 00:19:39,639 Speaker 2: of keeping there, that's still a billion dollars a year 313 00:19:40,119 --> 00:19:43,000 Speaker 2: that it's costing the state of New York. Most likely, 314 00:19:43,080 --> 00:19:46,719 Speaker 2: it's almost certainly it's higher than that. My guess is 315 00:19:46,960 --> 00:19:50,159 Speaker 2: probably the most realistic estimate is probably about one point 316 00:19:50,160 --> 00:19:53,359 Speaker 2: four billion dollars a year. But that's that's a non 317 00:19:53,400 --> 00:19:56,280 Speaker 2: trivial amount of money. And the question you have to 318 00:19:56,320 --> 00:20:01,560 Speaker 2: ask is why won't the state agree to let ICE 319 00:20:01,680 --> 00:20:08,960 Speaker 2: remove convicted murderers and rapists? Why why do they ansist? 320 00:20:09,160 --> 00:20:11,480 Speaker 2: And in fact, this is only part of the story. 321 00:20:11,600 --> 00:20:16,960 Speaker 2: Over this year, ICE has released six nine hundred and 322 00:20:17,080 --> 00:20:21,280 Speaker 2: some people from prison in jails who had been convicted 323 00:20:21,840 --> 00:20:25,080 Speaker 2: of crimes again murders and rapes and other things like that, 324 00:20:25,680 --> 00:20:29,479 Speaker 2: but didn't inform ICE that they were releasing them, and 325 00:20:29,560 --> 00:20:33,159 Speaker 2: so they've put those individuals back into the general population, 326 00:20:33,320 --> 00:20:36,439 Speaker 2: where they're presumably going out and committing more crimes, at 327 00:20:36,520 --> 00:20:39,000 Speaker 2: least a significant portion of them. 328 00:20:39,480 --> 00:20:44,720 Speaker 1: Do these sanctuary policies, I assume the impact like the data, right, 329 00:20:45,200 --> 00:20:45,760 Speaker 1: Oh yeah, no. 330 00:20:45,880 --> 00:20:48,760 Speaker 2: I try to give examples, so, like the fact that 331 00:20:48,880 --> 00:20:53,280 Speaker 2: New York won't assist in identifying whether these individuals are 332 00:20:53,280 --> 00:20:57,359 Speaker 2: illegal or not. Presumably that seven and thirteen is an 333 00:20:57,480 --> 00:21:00,439 Speaker 2: underestimate of that, you know, we have no idea how 334 00:21:00,520 --> 00:21:03,480 Speaker 2: much of an underestimate, you know, we have so many 335 00:21:03,520 --> 00:21:07,320 Speaker 2: problems in terms of whether people give their accurate names there. 336 00:21:07,760 --> 00:21:10,639 Speaker 2: You know, you've surely heard all sorts of stories where 337 00:21:10,720 --> 00:21:13,160 Speaker 2: I legals when they were coming into the country would 338 00:21:13,240 --> 00:21:16,760 Speaker 2: dumped their passports and other IDs right before they came 339 00:21:16,800 --> 00:21:20,000 Speaker 2: into the United States. You know, when during the buy 340 00:21:20,000 --> 00:21:23,840 Speaker 2: An administration, when border patrol was processing people, there are 341 00:21:23,880 --> 00:21:26,240 Speaker 2: good portions of the time where they would spend a 342 00:21:26,280 --> 00:21:30,080 Speaker 2: maximum of two minutes processing somebody. You know, they just 343 00:21:30,160 --> 00:21:32,879 Speaker 2: ask them what your name is. They'd assume that they're 344 00:21:32,920 --> 00:21:36,479 Speaker 2: being accurate on those things. So being able to go 345 00:21:36,520 --> 00:21:40,080 Speaker 2: and identify whether somebody is illegal in the United States 346 00:21:40,119 --> 00:21:43,199 Speaker 2: and their criminal background has been a real problem. But 347 00:21:43,720 --> 00:21:47,320 Speaker 2: you know, there's other data that indicates how bad of 348 00:21:47,359 --> 00:21:50,240 Speaker 2: a problem this is. So a couple months before the 349 00:21:50,280 --> 00:21:53,680 Speaker 2: election in twenty twenty four, buy An administration itself put 350 00:21:53,720 --> 00:21:57,840 Speaker 2: out a report that indicated that of the seven point 351 00:21:58,000 --> 00:22:01,840 Speaker 2: four million so called nine to tained individuals individuals that 352 00:22:02,200 --> 00:22:05,399 Speaker 2: have been released into the country, nine percent of those, 353 00:22:05,760 --> 00:22:08,760 Speaker 2: or like six hundred and seventy thousand of them, had 354 00:22:08,840 --> 00:22:12,840 Speaker 2: criminal records in their home countries. Now, there are lots 355 00:22:12,880 --> 00:22:16,080 Speaker 2: of problems with that. One is virtually all of these 356 00:22:16,160 --> 00:22:20,480 Speaker 2: non detained individuals were ones who voluntarily turned themselves into 357 00:22:20,520 --> 00:22:23,720 Speaker 2: the border. You know, these are probably the ones that 358 00:22:23,760 --> 00:22:27,040 Speaker 2: you should be least concerned about, And yet it's nine percent. 359 00:22:27,640 --> 00:22:30,800 Speaker 2: And on top of that, you know, as we said, 360 00:22:30,960 --> 00:22:34,040 Speaker 2: they may not give them accurate names the countries that 361 00:22:34,080 --> 00:22:37,880 Speaker 2: they were coming from. Many countries like Venezuela, for example, 362 00:22:37,920 --> 00:22:41,600 Speaker 2: were not working with our government to go and identify 363 00:22:41,720 --> 00:22:44,560 Speaker 2: whether the people had criminal records in their home countries. 364 00:22:44,600 --> 00:22:47,520 Speaker 2: They hid that. So even that nine percent is a 365 00:22:47,600 --> 00:22:51,000 Speaker 2: huge underestimate. But it's not including things like the two 366 00:22:51,040 --> 00:22:54,640 Speaker 2: point one million so called godaways, people that we saw 367 00:22:54,760 --> 00:22:57,760 Speaker 2: coming across the border but didn't turn themselves in. There 368 00:22:57,760 --> 00:23:02,680 Speaker 2: are big benefits for turning themselves in this prepaid credit card. 369 00:23:03,160 --> 00:23:06,639 Speaker 2: You'd get housing, you'd get you know, a plane ride 370 00:23:06,680 --> 00:23:08,639 Speaker 2: to what part of the country you want to be in, 371 00:23:08,720 --> 00:23:12,479 Speaker 2: you'd get working papers, you would go and get you know, 372 00:23:13,280 --> 00:23:16,679 Speaker 2: they gave it like seven million solid security numbers to people. 373 00:23:17,840 --> 00:23:21,159 Speaker 2: You get all sorts of benefits from voluntarily turning yourself 374 00:23:21,200 --> 00:23:23,840 Speaker 2: at the border. So the ones that weren't, you figure 375 00:23:23,840 --> 00:23:27,280 Speaker 2: I had a real reason for avoiding it. Plus we 376 00:23:27,320 --> 00:23:30,440 Speaker 2: don't even know how many we didn't observe coming across 377 00:23:30,520 --> 00:23:34,560 Speaker 2: because seventy six percent of the border agents were pulled 378 00:23:34,640 --> 00:23:38,920 Speaker 2: off of guarding the border and instead we're involved in 379 00:23:40,920 --> 00:23:44,600 Speaker 2: processing the illegals that were coming across. We had about 380 00:23:44,640 --> 00:23:48,560 Speaker 2: thirty percent of the passive monitoring equipment, the cameras and 381 00:23:48,640 --> 00:23:53,160 Speaker 2: whatever across the border were broken during the Biden administration, 382 00:23:53,280 --> 00:23:56,960 Speaker 2: and we're not being fixed. So we had huge portions 383 00:23:57,000 --> 00:24:01,520 Speaker 2: of the border where we had neither agents nor equipment 384 00:24:01,880 --> 00:24:05,600 Speaker 2: to go and monitor whether people were coming across areas 385 00:24:05,640 --> 00:24:08,199 Speaker 2: that you know, it seems very likely from what we 386 00:24:08,240 --> 00:24:11,640 Speaker 2: can tell that the you know, the drug cartels who 387 00:24:11,640 --> 00:24:17,119 Speaker 2: were bringing in people in knew weren't being guarded, and 388 00:24:17,160 --> 00:24:19,560 Speaker 2: so we have no idea how many more millions of 389 00:24:19,600 --> 00:24:22,679 Speaker 2: people beyond the two point one million guidaways came in, 390 00:24:22,720 --> 00:24:27,359 Speaker 2: and those presumably were the ones that were most problematic. So, 391 00:24:28,000 --> 00:24:31,240 Speaker 2: you know, the nine percent, which is a high enough 392 00:24:31,320 --> 00:24:37,600 Speaker 2: number to begin with, is in a dramatic underestimate. Doesn't 393 00:24:37,600 --> 00:24:39,480 Speaker 2: he include all these other groups? 394 00:24:39,680 --> 00:24:41,800 Speaker 1: Quick breaks stay with us. If you like what you're hearing, 395 00:24:41,840 --> 00:24:43,840 Speaker 1: please share on social media or send it to your 396 00:24:43,840 --> 00:24:49,280 Speaker 1: family and friends. I've seen a bunch of different numbers 397 00:24:49,320 --> 00:24:51,760 Speaker 1: in terms of how many illegal aliens came here, you 398 00:24:51,800 --> 00:24:56,239 Speaker 1: said seven million. In terms of people that were given it, 399 00:24:56,280 --> 00:24:59,640 Speaker 1: you know, like information or housing or whatever. Is there 400 00:25:00,119 --> 00:25:03,600 Speaker 1: way to figure like, what would you put the number 401 00:25:03,640 --> 00:25:06,680 Speaker 1: at in terms of how many legal aliens came here 402 00:25:06,760 --> 00:25:07,879 Speaker 1: during the Biden administration. 403 00:25:09,040 --> 00:25:12,960 Speaker 2: Well, if you add up the people that voluntarily turned 404 00:25:13,000 --> 00:25:16,439 Speaker 2: themselves in, the ones that were caught, and the so 405 00:25:16,600 --> 00:25:20,600 Speaker 2: called godaways, you're talking about twelve million, a little bit 406 00:25:20,640 --> 00:25:25,240 Speaker 2: over twelve million people. But that doesn't include, and we 407 00:25:25,320 --> 00:25:28,520 Speaker 2: can only guess are the ones that we never saw 408 00:25:28,600 --> 00:25:31,960 Speaker 2: coming across the border because of these problems with the 409 00:25:32,000 --> 00:25:36,120 Speaker 2: agents being pulled off of doing it, and also the 410 00:25:36,240 --> 00:25:39,240 Speaker 2: broken equipment that was there that the Biden administration didn't 411 00:25:39,240 --> 00:25:43,280 Speaker 2: want to fix. So that's just nobody knows. That's just 412 00:25:43,320 --> 00:25:45,920 Speaker 2: a guess. I mean, I assume it's in the millions, 413 00:25:46,440 --> 00:25:48,919 Speaker 2: but you know, we have no clue what it is, 414 00:25:49,080 --> 00:25:53,040 Speaker 2: but it's it's surely something that's concerning, and it makes 415 00:25:53,080 --> 00:25:58,280 Speaker 2: it harder for the Trump administration to go and identify 416 00:25:58,560 --> 00:26:02,080 Speaker 2: the illegals that are here and catch them and deport them. 417 00:26:03,400 --> 00:26:07,280 Speaker 2: So you know, it's and even you know, under law, 418 00:26:07,760 --> 00:26:11,280 Speaker 2: the people that the buy an administration did release into 419 00:26:11,320 --> 00:26:14,280 Speaker 2: the country. They're supposed to do things like take DNA 420 00:26:14,960 --> 00:26:18,280 Speaker 2: okay and check to make sure who they are they 421 00:26:18,320 --> 00:26:20,480 Speaker 2: say they are, you know, but they didn't do any 422 00:26:20,520 --> 00:26:23,399 Speaker 2: of that stuff, and so all those things make it 423 00:26:23,520 --> 00:26:27,440 Speaker 2: much more difficult to go and identify these individuals and 424 00:26:27,840 --> 00:26:28,919 Speaker 2: you know, deport them. 425 00:26:29,240 --> 00:26:32,320 Speaker 1: They wanted this to happen, which is sad because you 426 00:26:32,320 --> 00:26:34,680 Speaker 1: look at how easily President Trump was able to solve 427 00:26:34,720 --> 00:26:37,200 Speaker 1: the border crisis, and obviously that could have been done 428 00:26:38,080 --> 00:26:39,920 Speaker 1: in four years during the Bide administration. 429 00:26:40,600 --> 00:26:42,880 Speaker 2: Yeah, they didn't want to. The thing is the thing 430 00:26:42,920 --> 00:26:46,600 Speaker 2: that's most amazing to me is so I mentioned earlier 431 00:26:46,600 --> 00:26:50,440 Speaker 2: in New York, you have one thousand, nine hundred convicted 432 00:26:50,640 --> 00:26:54,959 Speaker 2: criminals in New York that the state released without turning 433 00:26:54,960 --> 00:26:58,679 Speaker 2: them over to Ice. Look, I understand why these sanctuary 434 00:26:58,760 --> 00:27:03,760 Speaker 2: cities fight so hot to keep illegals, because it counts 435 00:27:03,800 --> 00:27:07,639 Speaker 2: towards things like the Census, they get congressional seats. California 436 00:27:07,720 --> 00:27:12,120 Speaker 2: probably has at least five congressional seats that they otherwise 437 00:27:12,160 --> 00:27:15,120 Speaker 2: wouldn't have as a result of illegals being in there. 438 00:27:15,520 --> 00:27:18,359 Speaker 2: But you know, the irony is, at the same time, 439 00:27:18,640 --> 00:27:22,040 Speaker 2: these individuals who are fighting for these illegals, will go 440 00:27:22,119 --> 00:27:25,560 Speaker 2: and claim, well, illegals just don't commit crime at high rates. 441 00:27:25,600 --> 00:27:28,720 Speaker 2: And if they really believe that, then if you have 442 00:27:28,760 --> 00:27:32,560 Speaker 2: a child rapist, why wouldn't you want it who's been convicted. 443 00:27:33,200 --> 00:27:35,280 Speaker 2: Why wouldn't you want to go and turn them over 444 00:27:35,320 --> 00:27:37,560 Speaker 2: to ICE to get them deported? Why do you fight 445 00:27:38,119 --> 00:27:43,440 Speaker 2: to keep even the violent, criminal illegal aliens in the country. 446 00:27:43,920 --> 00:27:46,879 Speaker 2: And yet all these places across the country, whether it 447 00:27:46,920 --> 00:27:51,320 Speaker 2: be Illinois or California, or New York or Maryland or 448 00:27:51,400 --> 00:27:54,840 Speaker 2: New Jersey or whatever, they will fight you tooth and 449 00:27:54,960 --> 00:28:00,359 Speaker 2: nail against deporting the illegal aliens. Now, the criminal illegal aliallions. 450 00:28:00,720 --> 00:28:04,680 Speaker 2: And I Massachusetts, I just don't understand. I just saw 451 00:28:04,760 --> 00:28:07,960 Speaker 2: a little while ago in Boston, the city there had 452 00:28:08,000 --> 00:28:12,480 Speaker 2: released three child rapists, one of them from Brazil. Had 453 00:28:12,520 --> 00:28:15,800 Speaker 2: a long history of child rapes in Brazil. He had 454 00:28:15,920 --> 00:28:19,639 Speaker 2: escaped there when there were warrants out for his arrest 455 00:28:19,720 --> 00:28:24,679 Speaker 2: to come to the United States. And you know, I 456 00:28:24,720 --> 00:28:30,720 Speaker 2: why why wouldn't you go and have ICE deport child rapists? 457 00:28:32,200 --> 00:28:34,359 Speaker 1: Well it's crazy, Oh yeah, I mean to the extent 458 00:28:34,400 --> 00:28:37,680 Speaker 1: that they fight this, it's disturbing. You know, we talk 459 00:28:37,720 --> 00:28:40,520 Speaker 1: about crime specifically in New York City. You know, I 460 00:28:40,600 --> 00:28:43,640 Speaker 1: worry obviously, as I'm sure you do, it's just going 461 00:28:43,720 --> 00:28:46,440 Speaker 1: to get so much worse under Mom Donnie as mayor 462 00:28:46,520 --> 00:28:49,400 Speaker 1: now these Airic Adams like kind of cared about crime, 463 00:28:49,520 --> 00:28:54,440 Speaker 1: right Like Mom Donnie is talking about actively undermining the police. 464 00:28:54,920 --> 00:28:56,760 Speaker 1: How much worse do you think it's going to get 465 00:28:56,840 --> 00:28:58,560 Speaker 1: in New York City? And sort of like what are 466 00:28:58,600 --> 00:29:01,480 Speaker 1: your biggest concerns and sort of observing the things that 467 00:29:01,520 --> 00:29:04,560 Speaker 1: he has said about police and crime and everything in 468 00:29:04,600 --> 00:29:05,240 Speaker 1: New York City? 469 00:29:06,280 --> 00:29:10,600 Speaker 2: Right, Well, I mean, I guess I've heard that there's 470 00:29:10,680 --> 00:29:14,760 Speaker 2: like over three thousand police who have just very recently 471 00:29:14,840 --> 00:29:18,640 Speaker 2: resigned in New York City after the election results there. 472 00:29:19,600 --> 00:29:23,320 Speaker 2: You know, he's kept on the police chief there. I 473 00:29:23,360 --> 00:29:25,480 Speaker 2: don't know how long she's going to be there and 474 00:29:25,520 --> 00:29:30,280 Speaker 2: how much autonomy she's going to have with regard to that. 475 00:29:30,560 --> 00:29:33,680 Speaker 2: There are things that he's doing in terms of, you know, 476 00:29:33,920 --> 00:29:38,560 Speaker 2: ending the cooperation that Mary Adams had with Ice. You know, 477 00:29:39,360 --> 00:29:42,880 Speaker 2: it's going to be a mecca for criminal, illegal aliens, 478 00:29:43,320 --> 00:29:46,160 Speaker 2: you know, to stay there, and of course you know 479 00:29:46,200 --> 00:29:49,160 Speaker 2: with people like Alvin Bragg and the leftist judges that 480 00:29:49,200 --> 00:29:53,040 Speaker 2: you have there, you have this incredible just cycling through 481 00:29:53,680 --> 00:29:56,960 Speaker 2: the legal system there where somebody gets arrested and gets released, 482 00:29:57,000 --> 00:30:00,360 Speaker 2: they commit another crime, they're arrested and released, and you know, 483 00:30:00,480 --> 00:30:05,640 Speaker 2: so there's like really little consequences for criminals. And you know, 484 00:30:05,680 --> 00:30:08,280 Speaker 2: I worry that the police are going to be demoralized 485 00:30:08,320 --> 00:30:12,360 Speaker 2: even more, you know, if you arrest people and nothing 486 00:30:12,440 --> 00:30:15,400 Speaker 2: happens to them. And one of the things the first 487 00:30:15,440 --> 00:30:20,440 Speaker 2: things that Mam Donnie announced was he's appointed these people 488 00:30:20,520 --> 00:30:25,440 Speaker 2: to kind of oversee the judicial selection process there. He 489 00:30:25,480 --> 00:30:28,280 Speaker 2: doesn't want He's announced that he doesn't want any former 490 00:30:28,320 --> 00:30:32,120 Speaker 2: prosecutors being judges anymore in New York City. He wants 491 00:30:32,280 --> 00:30:37,040 Speaker 2: basically leftists there. And so the problems that you have 492 00:30:37,240 --> 00:30:40,920 Speaker 2: in terms of the criminals not being punished, it's going 493 00:30:41,000 --> 00:30:44,760 Speaker 2: to be exacerbated. You know. Again, I know we say 494 00:30:44,800 --> 00:30:47,320 Speaker 2: this all the time when we talk, but this isn't 495 00:30:47,400 --> 00:30:50,680 Speaker 2: rocket science. You know, if you want to reduce crime, 496 00:30:51,160 --> 00:30:53,800 Speaker 2: you have to make it risky for criminals to commit crime. 497 00:30:53,920 --> 00:30:58,640 Speaker 2: Higher rest rates, higher conviction rates, longer prison sentences, letting 498 00:30:58,680 --> 00:31:04,000 Speaker 2: individuals go into themselves. All those things are going to 499 00:31:04,040 --> 00:31:05,760 Speaker 2: be going the wrong way. They're going to make it 500 00:31:05,800 --> 00:31:08,560 Speaker 2: even more difficult for law abiding citizens to be able 501 00:31:08,560 --> 00:31:12,840 Speaker 2: to go and protect themselves. They're obviously losing police officers 502 00:31:12,920 --> 00:31:16,840 Speaker 2: with a lot of experience, and you know, they're putting 503 00:31:16,840 --> 00:31:19,920 Speaker 2: in judges and who aren't going to want to prosecute people. 504 00:31:20,360 --> 00:31:25,120 Speaker 2: And unfortunately if somebody, like you know, the district attorneys 505 00:31:25,120 --> 00:31:28,520 Speaker 2: there got re elected. So I don't think it's going 506 00:31:28,560 --> 00:31:31,360 Speaker 2: to be good. I mean, it's interesting that this is 507 00:31:31,440 --> 00:31:33,720 Speaker 2: going kind of the opposite direction of the rest of 508 00:31:33,720 --> 00:31:37,040 Speaker 2: the country that's there. You know, you would think people learn, 509 00:31:37,760 --> 00:31:40,400 Speaker 2: you know, you had Dinkins as mayor of New York 510 00:31:40,560 --> 00:31:45,240 Speaker 2: and the horrible crime rates that were there. Giuliani when 511 00:31:45,280 --> 00:31:48,800 Speaker 2: he went in there increased the number of police, increased, 512 00:31:48,840 --> 00:31:53,400 Speaker 2: the standards for police being hired, adopted kind of the 513 00:31:53,440 --> 00:31:57,160 Speaker 2: broken windows approach where he put the police in areas 514 00:31:57,200 --> 00:32:01,120 Speaker 2: where the crimes were occurring, going after a wide range 515 00:32:01,120 --> 00:32:06,040 Speaker 2: of crimes, and people saw the huge drop in violent 516 00:32:06,120 --> 00:32:11,440 Speaker 2: crimes that occurred during during the Giuliani administration. Bloomberg, for 517 00:32:11,520 --> 00:32:15,240 Speaker 2: all of his other faults, at least continued that policy. 518 00:32:15,440 --> 00:32:19,000 Speaker 2: Deblasio reversed it. Mary Adams, as you say, at least 519 00:32:19,000 --> 00:32:21,920 Speaker 2: to some extent, kind of went back to the earlier 520 00:32:22,000 --> 00:32:26,000 Speaker 2: policies giving the police more free reign for doing it, 521 00:32:26,080 --> 00:32:29,400 Speaker 2: and now Mandami is going to you know, double down, 522 00:32:29,880 --> 00:32:32,560 Speaker 2: maybe even worse than Deblasio. 523 00:32:34,000 --> 00:32:37,640 Speaker 1: We'll keep an eye on it. These people are crazy, unfortunately. 524 00:32:38,720 --> 00:32:41,880 Speaker 2: But the thing is what we talked about before is 525 00:32:42,720 --> 00:32:46,800 Speaker 2: they want to make it as the race of the criminal. Okay, 526 00:32:47,120 --> 00:32:50,200 Speaker 2: that's what they focus on, and the thing that they 527 00:32:50,240 --> 00:32:54,160 Speaker 2: ignore are the race of the victims. They say they 528 00:32:54,240 --> 00:32:58,080 Speaker 2: care about poor, they say they care about minorities like 529 00:32:58,160 --> 00:33:03,320 Speaker 2: blacks and Hispanics who are overwhelmingly the victims of violent crime. 530 00:33:03,800 --> 00:33:07,600 Speaker 2: The poor and blacks and Hispanics. So if you make 531 00:33:07,680 --> 00:33:11,440 Speaker 2: it so that criminals don't have to worry about getting 532 00:33:11,480 --> 00:33:14,640 Speaker 2: caught and punished, aren't going to be put in prison, 533 00:33:14,800 --> 00:33:17,600 Speaker 2: you know, illegal alien criminals, aren't going to be deported, 534 00:33:18,120 --> 00:33:19,160 Speaker 2: who are the victims? 535 00:33:20,040 --> 00:33:21,600 Speaker 1: Well, that was like the whole like you know, black 536 00:33:21,640 --> 00:33:24,400 Speaker 1: lives matter stuff, Like it was such a lie because 537 00:33:24,440 --> 00:33:26,280 Speaker 1: it's like, you know, it's the black people who are 538 00:33:26,320 --> 00:33:29,120 Speaker 1: getting gunned down and these inner cities because of their 539 00:33:29,200 --> 00:33:31,960 Speaker 1: soft on crime policy. So clearly they don't believe black 540 00:33:31,960 --> 00:33:34,520 Speaker 1: lives matter. Like it's like I saw. 541 00:33:34,320 --> 00:33:38,480 Speaker 2: A survey for Chicago a little while ago, asking Chicago 542 00:33:38,600 --> 00:33:42,320 Speaker 2: residents whether they wanted Trump to do for Chicago what 543 00:33:42,360 --> 00:33:46,720 Speaker 2: he did for Washington. Deep and blacks and Hispanics were 544 00:33:46,720 --> 00:33:51,800 Speaker 2: in favor of Trump kind of federalizing law enforcement in Chicago. 545 00:33:52,400 --> 00:33:56,960 Speaker 2: The people who are against it were wealthy white liberals, 546 00:33:57,080 --> 00:34:00,800 Speaker 2: you know, the people who are most likely victims of 547 00:34:00,920 --> 00:34:07,320 Speaker 2: violent crime. Supported Hispanics by a huge majority, supported federalizing 548 00:34:07,360 --> 00:34:10,319 Speaker 2: the law enforcement that were there. But the people who 549 00:34:10,320 --> 00:34:15,359 Speaker 2: were not the victims of violent crime, wealthy individuals, you know, 550 00:34:15,520 --> 00:34:18,759 Speaker 2: they didn't. They were against it. I recently was in 551 00:34:18,840 --> 00:34:21,880 Speaker 2: Chicago and I was walking through downtown. I used to 552 00:34:21,960 --> 00:34:24,640 Speaker 2: live in Chicago when I taught at the University of Chicago, 553 00:34:24,800 --> 00:34:28,680 Speaker 2: and it was amazing how few people there were. On 554 00:34:28,719 --> 00:34:33,600 Speaker 2: a weekday, like a Wednesday, in downtown. It was deserted. 555 00:34:34,360 --> 00:34:38,320 Speaker 2: I mean, when I've been there in the past, sidewalks 556 00:34:38,320 --> 00:34:41,480 Speaker 2: would be completely full. Instead, when you're walking down it's 557 00:34:41,600 --> 00:34:45,600 Speaker 2: like one restaurant after another was boarded up and closed. 558 00:34:45,760 --> 00:34:49,279 Speaker 2: Few people were there. And I was talking to a 559 00:34:49,320 --> 00:34:51,879 Speaker 2: lawyer friend of mine who was there, and he said, yeah, 560 00:34:52,000 --> 00:34:55,400 Speaker 2: it's just, you know, given the crime that's been occurring 561 00:34:55,600 --> 00:35:00,160 Speaker 2: in kind of milk Miracle Mile there kind of it 562 00:35:00,239 --> 00:35:03,920 Speaker 2: used to be the super nice area. You know, people 563 00:35:03,960 --> 00:35:07,359 Speaker 2: have fled, they're not there, and businesses have closed as 564 00:35:07,400 --> 00:35:11,920 Speaker 2: a result. It's just a real, real shame the damage 565 00:35:11,960 --> 00:35:13,560 Speaker 2: that they've done to the city there. 566 00:35:13,840 --> 00:35:16,759 Speaker 1: We'll keep falling it. John Lott, President of the Crime 567 00:35:16,760 --> 00:35:19,520 Speaker 1: Prevention Research Center, always appreciate you coming on the show, 568 00:35:19,600 --> 00:35:22,000 Speaker 1: your wealth of knowledge. Thanks for breaking this all down 569 00:35:22,040 --> 00:35:23,759 Speaker 1: for us. We appreciate you well. 570 00:35:23,800 --> 00:35:25,880 Speaker 2: Thanks for being there at least so you make a difference. 571 00:35:26,640 --> 00:35:29,520 Speaker 1: That was doctor John Lott, president of the Crime Prevention 572 00:35:29,600 --> 00:35:32,040 Speaker 1: Research Center. Appreciate him for coming on the show. Appreciate 573 00:35:32,080 --> 00:35:34,600 Speaker 1: you guys at home for listening every Tuesday and Thursday. 574 00:35:34,640 --> 00:35:36,520 Speaker 1: You can listen throughout the week. I also one, I 575 00:35:36,560 --> 00:35:38,720 Speaker 1: think John Cassio and my producer for putting the show together. 576 00:35:38,840 --> 00:35:39,560 Speaker 1: Until next time.