1 00:00:00,320 --> 00:00:03,320 Speaker 1: Yes, well you know what to do because this one 2 00:00:03,360 --> 00:00:06,360 Speaker 1: came up again. I'm gonna pick this song. I have 3 00:00:06,480 --> 00:00:09,720 Speaker 1: a I'm blessed with a really really really really nice 4 00:00:09,720 --> 00:00:13,480 Speaker 1: home home studio. I'm gonna attack. I got some good speakers, etcetera, 5 00:00:13,640 --> 00:00:16,040 Speaker 1: a good nizzle in this studio, and I want to 6 00:00:16,079 --> 00:00:18,200 Speaker 1: play that dang song like three or four five times. 7 00:00:18,400 --> 00:00:24,040 Speaker 1: I'm gonna crank that freaking song, especially on Friday. Too 8 00:00:24,120 --> 00:00:26,800 Speaker 1: many of us had to work today. I'm not complaining, 9 00:00:26,840 --> 00:00:30,240 Speaker 1: but I'm just saying we get to unwind and have 10 00:00:30,280 --> 00:00:36,840 Speaker 1: a lot of fun. We of course lost Guardswoman Sarah 11 00:00:36,840 --> 00:00:39,560 Speaker 1: Bex from twenty of US Virginia and Andrew Wolf twenty 12 00:00:39,560 --> 00:00:43,880 Speaker 1: four Cleaning to Life. I want to talk more about 13 00:00:43,920 --> 00:00:48,120 Speaker 1: the terrorist attack and the Afghan refugee who should not 14 00:00:48,200 --> 00:00:52,040 Speaker 1: be in this country. Continuing on how there was no 15 00:00:52,120 --> 00:00:56,600 Speaker 1: vetting whatsoever. This is a former special agent with the FBI. 16 00:00:56,640 --> 00:00:59,200 Speaker 1: Of course, FBI special Agent Nicole Parker. She was one 17 00:00:59,240 --> 00:01:01,680 Speaker 1: of the FBI agents that worked with DoD and vetting 18 00:01:01,880 --> 00:01:04,920 Speaker 1: these Afghan refugees, and she said that they had what 19 00:01:04,920 --> 00:01:07,520 Speaker 1: were called lily pads. This is where they flew the 20 00:01:07,720 --> 00:01:11,360 Speaker 1: Afghan refugees into for only a few days or a 21 00:01:11,360 --> 00:01:14,760 Speaker 1: few weeks before dumping them in this country. Because of 22 00:01:14,840 --> 00:01:20,480 Speaker 1: Joe Biden's wishes, the State Department continually overruling the objections 23 00:01:20,520 --> 00:01:23,600 Speaker 1: of security officials. Like the DoD in the FBI, they 24 00:01:23,600 --> 00:01:25,240 Speaker 1: still said, you know what, that person's a risk, that's 25 00:01:25,240 --> 00:01:27,640 Speaker 1: a red flag, no worris stamp come in, just like 26 00:01:27,640 --> 00:01:29,839 Speaker 1: with the illegal invasion of this country. For four years, 27 00:01:30,800 --> 00:01:34,080 Speaker 1: lily Pads and countries like Germany, Cutter, Spain and Italy 28 00:01:34,160 --> 00:01:37,280 Speaker 1: evacuates stayed their days or only weeks. US officials attempted 29 00:01:37,360 --> 00:01:40,800 Speaker 1: rapid screening and collected biographic biometric data before sending into 30 00:01:40,840 --> 00:01:43,399 Speaker 1: the US. The Inspector General final that lily Pads were 31 00:01:43,440 --> 00:01:47,480 Speaker 1: rushed understaffed, in consistent leading the major documentation gaps, missing records, 32 00:01:47,480 --> 00:01:53,840 Speaker 1: and vetting shortcuts. DHS used humanitarian parole, which normally is 33 00:01:53,840 --> 00:01:56,080 Speaker 1: a case by case basis, not a whole bunch of people. 34 00:01:56,080 --> 00:01:59,600 Speaker 1: It's case by case it can take years. Instead, they 35 00:01:59,680 --> 00:02:03,040 Speaker 1: used that to quickly process tens of thousands of Afghans 36 00:02:03,080 --> 00:02:06,880 Speaker 1: bypassing the Special Immigrant Visa programs which take years. Excuse me, 37 00:02:06,880 --> 00:02:10,320 Speaker 1: the SIV program takes years and not humanitarian parole, but 38 00:02:10,320 --> 00:02:13,720 Speaker 1: that's supposed to be case by case, not ten tens 39 00:02:13,720 --> 00:02:18,480 Speaker 1: of thousands. Many times it felt like anyone who was 40 00:02:18,480 --> 00:02:21,720 Speaker 1: allowed to come into the US. Excuse me, many times, 41 00:02:21,760 --> 00:02:23,640 Speaker 1: it felt like anyone was allowed to come into the 42 00:02:23,680 --> 00:02:26,440 Speaker 1: United States from Afghanistan, regardless of who they were. Says 43 00:02:26,440 --> 00:02:29,639 Speaker 1: for former Special Agent Parker. What happened to our National 44 00:02:29,639 --> 00:02:33,600 Speaker 1: Guard service members is a direct result of Joe Biden's 45 00:02:33,720 --> 00:02:37,720 Speaker 1: lack of vetting. She said. It was almost impossible to 46 00:02:37,800 --> 00:02:42,200 Speaker 1: vet evacuees because they arrived with no verifiable documents or records, 47 00:02:42,960 --> 00:02:48,320 Speaker 1: leaving nothing to run through intelligence criminal databases, putting citizens, 48 00:02:48,400 --> 00:02:53,200 Speaker 1: law enforcement, and the National Guard at risk. Sleeper cells 49 00:02:53,400 --> 00:02:57,080 Speaker 1: are here? How many are here? She said? Now, let's 50 00:02:57,120 --> 00:03:00,079 Speaker 1: go to an original article that was written by the 51 00:03:00,160 --> 00:03:05,600 Speaker 1: Washington Examiner right after the Afghanistan withdrawal disaster that Joe 52 00:03:05,600 --> 00:03:12,799 Speaker 1: Biden said was a success, a stunning success. This was 53 00:03:12,840 --> 00:03:15,640 Speaker 1: written in November twenty four, twenty twenty one, from the 54 00:03:15,680 --> 00:03:18,239 Speaker 1: Examiner of the Washington Examiner. Almost none of the eighty 55 00:03:18,280 --> 00:03:23,080 Speaker 1: two thousand people airlifted from Kabble were vetted before being 56 00:03:23,120 --> 00:03:26,040 Speaker 1: admitted to the United States, despite claims for the contrary. 57 00:03:26,040 --> 00:03:30,200 Speaker 1: According to a congressional memo summarizing interviews with federal officials 58 00:03:30,200 --> 00:03:32,200 Speaker 1: who oversaw the effort. And by the way, that's what 59 00:03:32,200 --> 00:03:35,760 Speaker 1: you just heard from from former specilagent Nicole Parker. We 60 00:03:35,760 --> 00:03:38,120 Speaker 1: couldn't do anything and there was nothing to check, and 61 00:03:38,160 --> 00:03:40,440 Speaker 1: they still shoup shoved him in here. And that's what 62 00:03:40,520 --> 00:03:48,320 Speaker 1: the congressional investigation revealed. Senior officials across the Departments of Homeland, Security, Defense, State, 63 00:03:48,400 --> 00:03:52,040 Speaker 1: and Justice described a disastrous screening and vetting process. It 64 00:03:52,080 --> 00:03:56,200 Speaker 1: relied solely on criminal and terrorist databases, that is merely 65 00:03:56,280 --> 00:04:01,440 Speaker 1: screening rather than vetting. In other words, you and I 66 00:04:01,480 --> 00:04:03,840 Speaker 1: have loved ones that work perhaps for the federal government 67 00:04:03,920 --> 00:04:07,360 Speaker 1: that are in intelligence counterintelligence, or have clearances, or perhaps 68 00:04:07,360 --> 00:04:09,960 Speaker 1: you have loved ones or friends that are police officers, 69 00:04:10,560 --> 00:04:13,480 Speaker 1: and they went through so much more than these Afghan refugees. 70 00:04:13,520 --> 00:04:16,560 Speaker 1: For example, even just being a police officer. They interview 71 00:04:16,680 --> 00:04:22,440 Speaker 1: high school friends, college friends, former employers, relatives, They do 72 00:04:22,480 --> 00:04:24,960 Speaker 1: background checks, they do polygraph tests, all sorts of stuff. 73 00:04:24,960 --> 00:04:27,760 Speaker 1: None of this happened with these guys. They were lied 74 00:04:27,800 --> 00:04:30,960 Speaker 1: solely on criminal and terrorist database that is merely screening 75 00:04:31,040 --> 00:04:33,520 Speaker 1: rather than vetting, no vetting, no vetting whatsoever. So what 76 00:04:33,560 --> 00:04:36,240 Speaker 1: they did was they looked into terrorist databases and criminal database. Well, 77 00:04:36,240 --> 00:04:38,240 Speaker 1: what was the ranting in there? Of course not they 78 00:04:38,240 --> 00:04:41,440 Speaker 1: were goat hurting terrorists and with no records of anything. 79 00:04:41,480 --> 00:04:45,120 Speaker 1: They don't even know they're own damn birth dates. We'll 80 00:04:45,200 --> 00:04:50,560 Speaker 1: just look up the Afghan records. Well here, while Lead 81 00:04:50,720 --> 00:04:55,560 Speaker 1: lived in a goat farm in one hundred miles west 82 00:04:55,560 --> 00:04:59,520 Speaker 1: of Kandahar, with no running war. He grew up at 83 00:04:59,520 --> 00:05:00,640 Speaker 1: a place where he You would sit there and wake 84 00:05:00,680 --> 00:05:05,600 Speaker 1: up in the morning you'd hear in between shouts of 85 00:05:05,640 --> 00:05:14,279 Speaker 1: a par Seventy five percent of evacuated folks were of 86 00:05:14,400 --> 00:05:17,920 Speaker 1: Afghan of Afghans. Of all the folks, seventy five percent 87 00:05:17,960 --> 00:05:20,000 Speaker 1: of the evacue's were not Americans. They were not green 88 00:05:20,000 --> 00:05:23,360 Speaker 1: hard cardoleers. They were not Afghan Special Immigrant Visa holders, 89 00:05:23,560 --> 00:05:27,839 Speaker 1: nor were they applicants for the visa. None of them 90 00:05:28,600 --> 00:05:32,640 Speaker 1: had anything. Joe just said, grab as many tens of 91 00:05:32,640 --> 00:05:34,640 Speaker 1: thousands of Afghans, we don't know who the hell they are, 92 00:05:34,680 --> 00:05:36,479 Speaker 1: and throw them on a plane. One of them. My 93 00:05:36,560 --> 00:05:39,680 Speaker 1: dad did. My dad was a National guardsman for thirty 94 00:05:40,080 --> 00:05:42,159 Speaker 1: or so years, and he rose to the rank of 95 00:05:42,320 --> 00:05:44,920 Speaker 1: lieutenant colonel. It was a battalion commander, et cetera. But 96 00:05:44,960 --> 00:05:47,280 Speaker 1: back in the day, you know how guardsmen and well 97 00:05:47,320 --> 00:05:50,160 Speaker 1: reservists have to go two weeks a year to do 98 00:05:50,240 --> 00:05:55,039 Speaker 1: training and stuff. I grew up in Chicagoland and we 99 00:05:55,080 --> 00:05:57,680 Speaker 1: went to one year my dad, when we were very 100 00:05:57,720 --> 00:06:00,360 Speaker 1: young and he was very young. We went to Fort 101 00:06:00,400 --> 00:06:03,880 Speaker 1: McCoy and Sparta, Wisconsin, and we stayed for two weeks 102 00:06:03,880 --> 00:06:05,800 Speaker 1: there camping. It was the most incredible time. And my 103 00:06:05,880 --> 00:06:07,359 Speaker 1: dad would come by when he could from time to 104 00:06:07,360 --> 00:06:09,240 Speaker 1: time take us on in a jeep and drive us 105 00:06:09,240 --> 00:06:11,480 Speaker 1: around the base and show some really cool stuff and such, 106 00:06:11,520 --> 00:06:12,920 Speaker 1: and my brother and I fished. It was a great 107 00:06:12,960 --> 00:06:16,279 Speaker 1: time anyway. And in the most precious picture I have 108 00:06:16,440 --> 00:06:19,440 Speaker 1: my dad is from then in his uniform black and white. 109 00:06:19,440 --> 00:06:24,200 Speaker 1: It's an amazing picture. But I read that with these 110 00:06:24,200 --> 00:06:26,920 Speaker 1: afghanies they were some of them were they report at 111 00:06:26,920 --> 00:06:28,600 Speaker 1: military basis all of the country, and one of them 112 00:06:28,600 --> 00:06:33,800 Speaker 1: was at Fort McCoy part of Wisconsin, and there was 113 00:06:33,839 --> 00:06:38,960 Speaker 1: an Afghan refugee guy who had three wives, including child 114 00:06:38,960 --> 00:06:44,240 Speaker 1: brides nine years old, twelve years old, child brides. That 115 00:06:44,320 --> 00:06:46,719 Speaker 1: is what has been imported by Joe Biden along with 116 00:06:47,160 --> 00:06:51,200 Speaker 1: terrorists who want to slaughter US, hate US. They created 117 00:06:51,279 --> 00:06:54,200 Speaker 1: quote a brand new out of cloth screening process just 118 00:06:54,240 --> 00:06:58,279 Speaker 1: for this population. The Examiner report said they didn't want 119 00:06:58,320 --> 00:07:01,080 Speaker 1: to have a third party location to tree them like refugees, 120 00:07:01,080 --> 00:07:03,360 Speaker 1: because they didn't want them to have to admit that 121 00:07:03,440 --> 00:07:06,400 Speaker 1: even the evacuation was a failure. Get them out of 122 00:07:06,440 --> 00:07:08,480 Speaker 1: sight and out of mind. That's just what Joe Biden 123 00:07:08,480 --> 00:07:11,520 Speaker 1: did with the illegals just once after the Afghan airlift. 124 00:07:11,560 --> 00:07:14,320 Speaker 1: The US government was already aware of ten instances which 125 00:07:14,360 --> 00:07:17,080 Speaker 1: Afghans were flown to the US who were determined to 126 00:07:17,120 --> 00:07:21,440 Speaker 1: be national security threats. The Biden administration brought into the 127 00:07:21,560 --> 00:07:25,080 Speaker 1: US tens of thousands of Afghans who were not qualified. 128 00:07:25,880 --> 00:07:29,440 Speaker 1: Of the eighty two thousand, ninety percent or seventy four 129 00:07:29,440 --> 00:07:32,680 Speaker 1: thousand were Afghan nationals, just people grabbed out the streets 130 00:07:32,760 --> 00:07:36,040 Speaker 1: or that showed up. Afghans without any identifications of records 131 00:07:36,040 --> 00:07:39,240 Speaker 1: were approved for travel amid the Chadok Flights airlift, and 132 00:07:39,280 --> 00:07:42,320 Speaker 1: twenty twenty one Congress passed a continuing resolution that that 133 00:07:42,400 --> 00:07:46,280 Speaker 1: year that gave all Afghan evacue's immediate eligibility to get 134 00:07:46,320 --> 00:07:55,520 Speaker 1: a real ID. Now we have the unbelievable stories of 135 00:07:55,560 --> 00:07:59,920 Speaker 1: how many amounts of terrorists terrorism have been perpetrated on 136 00:08:00,040 --> 00:08:02,440 Speaker 1: in America. Boy, these Afghan refugees, it's a lot more 137 00:08:02,480 --> 00:08:06,320 Speaker 1: than you think. For example, I came across journalist Andy 138 00:08:06,400 --> 00:08:11,440 Speaker 1: No had a post on Twitter in April another Afghan 139 00:08:12,120 --> 00:08:16,160 Speaker 1: not illegal, but another April. Sorry. In April, another Afghan 140 00:08:16,160 --> 00:08:18,720 Speaker 1: migrant who was moved into the US with his family 141 00:08:18,800 --> 00:08:22,520 Speaker 1: launched a shooting attack on police in Fairfax, Virginia. He 142 00:08:22,560 --> 00:08:25,240 Speaker 1: made anti white statements, said he wished he had helped 143 00:08:25,240 --> 00:08:27,440 Speaker 1: the talibant and he shot two officers being shot. That 144 00:08:27,520 --> 00:08:29,760 Speaker 1: I watched the body camp. I would have pulled audio 145 00:08:29,760 --> 00:08:31,760 Speaker 1: from it. But every other word is F this, MF 146 00:08:31,840 --> 00:08:38,360 Speaker 1: or this, and that he's crazy. And the cop called 147 00:08:38,360 --> 00:08:40,600 Speaker 1: for backup right away with this guy because he pulled 148 00:08:40,679 --> 00:08:43,400 Speaker 1: him over. He had no license, no nothing, and he 149 00:08:43,440 --> 00:08:45,560 Speaker 1: was unloading on the cop. The cop called for backup. 150 00:08:47,320 --> 00:08:51,000 Speaker 1: The other officers show up. Then the Afghan guy has 151 00:08:51,040 --> 00:08:54,920 Speaker 1: a gun on his passenger side seat, picks it up 152 00:08:54,920 --> 00:08:58,840 Speaker 1: and shoots two cops. The cops end up returning fire 153 00:08:58,880 --> 00:09:03,920 Speaker 1: and killing that terrorist. That's just one, and that one 154 00:09:03,960 --> 00:09:05,439 Speaker 1: none of us knew about because it only made the 155 00:09:05,480 --> 00:09:07,920 Speaker 1: news locally. But there's so many more. This is a 156 00:09:07,920 --> 00:09:10,960 Speaker 1: great column from Daniel Greenfield and Front Page magot mag 157 00:09:11,000 --> 00:09:14,520 Speaker 1: dot com, and I'm gonna share this with you coming 158 00:09:14,600 --> 00:09:17,520 Speaker 1: up next because it is I mean, it's bad. It 159 00:09:17,600 --> 00:09:20,240 Speaker 1: goes over all these different Afghanis all over our country 160 00:09:20,240 --> 00:09:22,440 Speaker 1: of committed terrorist acts that you haven't even heard about 161 00:09:22,600 --> 00:09:24,920 Speaker 1: since Joe Biden bar them all in. Then we shift 162 00:09:24,920 --> 00:09:27,000 Speaker 1: and we get into how the left. You can hear 163 00:09:27,040 --> 00:09:29,800 Speaker 1: so much the left and Democrats are literally blaming all 164 00:09:30,480 --> 00:09:33,959 Speaker 1: of these this terror attack in DC from an Afghan national, 165 00:09:34,360 --> 00:09:38,240 Speaker 1: blaming that on Trump. It's Trump's fault. All that's next, 166 00:09:38,240 --> 00:09:40,280 Speaker 1: it's Chris Kroc and for Jesse Kelly. This is the 167 00:09:40,360 --> 00:09:44,360 Speaker 1: Jesse Kelly Show. This is Chris Crock. This is the 168 00:09:44,480 --> 00:09:49,680 Speaker 1: Jesse Kelly Show. We're looking at the at least I'm 169 00:09:49,720 --> 00:09:52,480 Speaker 1: looking at the vigil for Sarah be ex Tram National 170 00:09:52,480 --> 00:09:56,520 Speaker 1: Guard member killed in the DC shooting. And they're singing 171 00:09:56,600 --> 00:10:03,480 Speaker 1: now and you know, a click, moms there crying, May 172 00:10:03,520 --> 00:10:07,120 Speaker 1: God bless them and comfort them. It's just horrifying that 173 00:10:07,160 --> 00:10:10,280 Speaker 1: your beautiful, sweet twenty year old daughter. And I was 174 00:10:10,320 --> 00:10:13,560 Speaker 1: just telling producer Chris that picture of her, a picture 175 00:10:13,559 --> 00:10:15,319 Speaker 1: of her with a National Guard cap on and a 176 00:10:15,400 --> 00:10:17,480 Speaker 1: National Guard uniform kind of looking up a little bit 177 00:10:18,520 --> 00:10:24,000 Speaker 1: so beautiful, so beautiful, real natural beauty. Just a wonderful, sweet, 178 00:10:24,000 --> 00:10:32,839 Speaker 1: beautiful young woman. So angering, angering, angering, and the cause 179 00:10:32,840 --> 00:10:36,440 Speaker 1: of it is Joe Biden letting in tens of thousands 180 00:10:36,520 --> 00:10:42,640 Speaker 1: of unvetted evacuees that we've been talking about, and let 181 00:10:42,640 --> 00:10:47,800 Speaker 1: me share this really really revealing. An alarming column written 182 00:10:47,800 --> 00:10:51,960 Speaker 1: by Daniel Greenfield and Front Page Magazine today. The attack 183 00:10:52,040 --> 00:10:55,920 Speaker 1: by this Afghan terrorist, accused Afghan terrorist until proven guilty 184 00:10:56,040 --> 00:10:59,959 Speaker 1: look took place in a mere week after another Afghan 185 00:11:01,000 --> 00:11:03,880 Speaker 1: of Dalla Haji Zadai was sentenced to fifteen years in 186 00:11:03,920 --> 00:11:08,520 Speaker 1: prison in an election day plot. This is what you 187 00:11:08,600 --> 00:11:10,600 Speaker 1: heard in the last hour that I played Jade Vince 188 00:11:11,200 --> 00:11:14,680 Speaker 1: with Margaret Brennan from CBS interrupting him four times, trying 189 00:11:14,720 --> 00:11:17,640 Speaker 1: to say how this is like a one off, and 190 00:11:17,679 --> 00:11:21,920 Speaker 1: he's like, oh no, no, no, so yeah. Two weeks before, 191 00:11:22,080 --> 00:11:26,160 Speaker 1: a week before, there was this other Afghan refugee was 192 00:11:26,200 --> 00:11:28,120 Speaker 1: sentenced to fifteen years in prison and an election day 193 00:11:28,200 --> 00:11:31,720 Speaker 1: terrorism plot. He and his Afghan brother in law, a 194 00:11:31,760 --> 00:11:35,640 Speaker 1: former quote guard at an American facility in Afghanistan. Had 195 00:11:35,679 --> 00:11:39,080 Speaker 1: plotted a mass shooting attack directed at large groups of 196 00:11:39,080 --> 00:11:41,120 Speaker 1: people on election Day. They were in Oklahoma, but I 197 00:11:41,200 --> 00:11:43,160 Speaker 1: believe they were coming down to do it here in 198 00:11:43,240 --> 00:11:48,440 Speaker 1: Dallas for Wurth Raam. A video showed this Afghan national 199 00:11:48,440 --> 00:11:51,640 Speaker 1: in Oklahoma reading to his daughter, if you remember this one, 200 00:11:51,679 --> 00:11:54,959 Speaker 1: a text that describes the rewards a martyr receives in 201 00:11:55,000 --> 00:11:59,080 Speaker 1: the afterlife. Oh it's our fault. We radicalized him, as 202 00:11:59,120 --> 00:12:03,280 Speaker 1: Margaret Brennan said, Hell no, he brought one way ticket. 203 00:12:03,320 --> 00:12:05,240 Speaker 1: He bought one way tickets for his wife and daughter 204 00:12:05,320 --> 00:12:08,480 Speaker 1: to go back to Afghanistan before the planned attack in 205 00:12:08,520 --> 00:12:10,959 Speaker 1: twenty twenty five. Now, remember that's just like the terrorist 206 00:12:10,960 --> 00:12:14,480 Speaker 1: who's been arrested for DC. The DC homicides of this 207 00:12:15,440 --> 00:12:18,840 Speaker 1: guardswoman and this other. Hopefully he doesn't passed away, but 208 00:12:19,040 --> 00:12:22,720 Speaker 1: could be a second homicide. He had five children and 209 00:12:22,760 --> 00:12:25,120 Speaker 1: a wife, and he left them to go do this 210 00:12:25,200 --> 00:12:27,160 Speaker 1: terror attack, just like this guy. He's seeing a theme. 211 00:12:27,600 --> 00:12:31,280 Speaker 1: In twenty twenty five, Afghan refugees stabbed their case workers 212 00:12:31,320 --> 00:12:36,160 Speaker 1: in Michigan and separately in Texas and stabbed each other 213 00:12:36,240 --> 00:12:40,680 Speaker 1: outside their Islamic Community center of Lancaster in Amish Country. 214 00:12:41,760 --> 00:12:44,880 Speaker 1: So that's three different instances. In April, Jamal Waally, in 215 00:12:44,960 --> 00:12:48,400 Speaker 1: Afghan refugee opened fire at police officers in Fairfax County. 216 00:12:48,400 --> 00:12:50,040 Speaker 1: This is the one I told you about on a 217 00:12:50,040 --> 00:12:52,199 Speaker 1: traffic stop, shooting two of them before they managed to 218 00:12:52,240 --> 00:12:54,920 Speaker 1: take him down. Gave him a nice dirt nap where 219 00:12:54,960 --> 00:12:59,040 Speaker 1: he belonged like these two. This guy with the shooting 220 00:12:59,320 --> 00:13:01,840 Speaker 1: with the police head been potentially eligible for a special 221 00:13:01,960 --> 00:13:07,720 Speaker 1: visa because he served in the Afghan military. Woo in 222 00:13:07,760 --> 00:13:10,800 Speaker 1: between saying alahak Bar and praying for death to America, 223 00:13:10,840 --> 00:13:13,880 Speaker 1: he was serving in the Afghan army. In twenty twenty four, 224 00:13:13,960 --> 00:13:18,160 Speaker 1: besides the election day plot, another Afghan evacuee was charged 225 00:13:18,160 --> 00:13:22,200 Speaker 1: with taking part in an Iranian plot to assassinate President Trump. 226 00:13:22,240 --> 00:13:25,160 Speaker 1: Remember that one, as well as Iranian dissidents and two 227 00:13:25,280 --> 00:13:29,720 Speaker 1: unnamed Jewish people in New York City. You sing a pattern? 228 00:13:30,600 --> 00:13:36,720 Speaker 1: There's more. That same year, another Afghan Muslim refugee terrorist, 229 00:13:36,920 --> 00:13:42,600 Speaker 1: Hajji Abdullah Sattar abdulah manaf Afghan Muslim terrorist money launder, 230 00:13:42,679 --> 00:13:44,880 Speaker 1: sentenced to thirty years in prison for trying to quote 231 00:13:44,880 --> 00:13:50,000 Speaker 1: import ton quality shipments ton quantity shipments of heroin to 232 00:13:50,080 --> 00:13:53,319 Speaker 1: New York City. The benefit al Qaida and the Taliban. 233 00:13:53,880 --> 00:13:58,600 Speaker 1: In twenty twenty two, Muhammitseed, an Afghan refugee, murdered three 234 00:13:58,920 --> 00:14:02,880 Speaker 1: or four other Muslim men in New Mexico over religious differences, 235 00:14:02,920 --> 00:14:06,520 Speaker 1: because why not. One of them was shot to death 236 00:14:06,520 --> 00:14:09,640 Speaker 1: in a parking lot of Lutheran Family Family Services, a 237 00:14:09,720 --> 00:14:13,679 Speaker 1: quote refugee settlement agency. You don't hear about these? Do 238 00:14:13,880 --> 00:14:16,559 Speaker 1: he didn't hear about these? There's more. Since arriving the 239 00:14:16,559 --> 00:14:20,440 Speaker 1: American in twenty sixteen, this guy, the Afrighan refugee who 240 00:14:20,480 --> 00:14:22,400 Speaker 1: was accused of murdering three or four men or did 241 00:14:22,480 --> 00:14:26,080 Speaker 1: in New Mexico parking lot at refugees at Refugee Services 242 00:14:26,120 --> 00:14:30,480 Speaker 1: Lutheran Family Services. Since arriving an American, that guy had, along 243 00:14:30,520 --> 00:14:32,680 Speaker 1: with his wife and son, been accused of assaulting his 244 00:14:32,800 --> 00:14:35,520 Speaker 1: daughter's boyfriend in twenty seventeen. So we got here before that, 245 00:14:35,880 --> 00:14:37,640 Speaker 1: grabbing his wife by the hair and throwing her out 246 00:14:37,640 --> 00:14:39,960 Speaker 1: of the car in twenty eighteen, then attacking her at 247 00:14:40,000 --> 00:14:42,640 Speaker 1: Human Services office and pulling out a large chunk of 248 00:14:42,680 --> 00:14:46,480 Speaker 1: hair from her scalp. His son called the police, claiming 249 00:14:46,520 --> 00:14:48,680 Speaker 1: that he had been beating his mother while he and 250 00:14:48,760 --> 00:14:51,120 Speaker 1: his sister tried to hold him back. The beating left 251 00:14:51,160 --> 00:14:54,880 Speaker 1: the younger. Remember women are cattle in Muslim countries. The 252 00:14:54,880 --> 00:14:57,880 Speaker 1: beating left younger. Sie had covered in blood when police 253 00:14:57,920 --> 00:15:01,480 Speaker 1: stopped him. In twenty twenty, Muhammed to only speak Pashtu 254 00:15:02,000 --> 00:15:06,120 Speaker 1: except for the term mfor the full word mfor. In 255 00:15:06,200 --> 00:15:11,320 Speaker 1: twenty sixteen, Ahmed Khan Rachimini, an Afghan whose father Mahamat 256 00:15:11,640 --> 00:15:14,320 Speaker 1: had come here as a refugee, planted bombs filled with 257 00:15:14,360 --> 00:15:17,240 Speaker 1: shrapnel across New York and New Jersey, including a Manhattan 258 00:15:17,240 --> 00:15:21,080 Speaker 1: neighborhood not far from Ground zero. Hey. Thirty one New 259 00:15:21,160 --> 00:15:23,840 Speaker 1: Yorkers were injured in the Afghans attacks, and a church 260 00:15:23,920 --> 00:15:26,760 Speaker 1: was seriously damaged. The Afghan Muslim terrorists managed to injure 261 00:15:26,800 --> 00:15:30,520 Speaker 1: two police officers before he was taking down. I asked again, 262 00:15:30,560 --> 00:15:34,960 Speaker 1: are you seeing a theme? Hmm, there's more, but wait, 263 00:15:35,040 --> 00:15:39,080 Speaker 1: there's more before that, two other Afghans not oh, I 264 00:15:39,160 --> 00:15:43,800 Speaker 1: remember this one, Najibul Zazi. I remember that guy, the 265 00:15:43,920 --> 00:15:46,640 Speaker 1: reporter on NBC News. I think Tom Brokaw was still 266 00:15:46,680 --> 00:15:52,560 Speaker 1: around then, Tom najibull Zuzi, and he had like a nickname, 267 00:15:52,640 --> 00:16:03,040 Speaker 1: Shazam Tom Shazam. Nagibul Zazi and Zachin A Medazi had 268 00:16:03,080 --> 00:16:06,040 Speaker 1: plotted to bomb New York City subways on behalf of 269 00:16:06,040 --> 00:16:10,640 Speaker 1: Al Klaida. Mohamed Zazi. Najibul's father was convicted of destroying 270 00:16:10,640 --> 00:16:15,960 Speaker 1: evidence along with reportedly his uncle Imam ahret Weis, another 271 00:16:16,000 --> 00:16:18,800 Speaker 1: Afghan and the Imam of a Queen's Massa, had tipped 272 00:16:18,800 --> 00:16:21,880 Speaker 1: off the subway bomber. They tipped him off to help him. 273 00:16:22,040 --> 00:16:25,960 Speaker 1: The deadliest Afghan Muslim terrorist attack that occurred when Olmar Mateen, 274 00:16:27,960 --> 00:16:32,680 Speaker 1: second generation Afghan immigrant, opened fire at the Pulse nightclub 275 00:16:32,720 --> 00:16:36,680 Speaker 1: in Florida, killing forty nine people at gay nightclub and 276 00:16:36,720 --> 00:16:40,840 Speaker 1: wounding fifty eight, calling himself an Islamic soldier. The lie 277 00:16:40,880 --> 00:16:43,880 Speaker 1: from the left. They lie, and they tried to say, no, no, 278 00:16:43,960 --> 00:16:46,360 Speaker 1: that was just a guy who was shooting up a 279 00:16:46,400 --> 00:16:48,400 Speaker 1: club who just happened to be you know whatever. Some 280 00:16:48,400 --> 00:16:50,240 Speaker 1: people who say he's a Trump support, you know, he's 281 00:16:50,240 --> 00:16:52,960 Speaker 1: a radical Islamist. And he googled he was going to 282 00:16:53,040 --> 00:16:56,120 Speaker 1: attack a synagogue, but the last many changes his mind. 283 00:16:56,240 --> 00:16:59,480 Speaker 1: He googled gay nightclub and he went and hunted gays 284 00:16:59,520 --> 00:17:02,600 Speaker 1: to kill Islamist Do they want to slaughter them? But 285 00:17:02,760 --> 00:17:07,200 Speaker 1: yet the leftist of this country. Love these folks. It's 286 00:17:07,280 --> 00:17:11,440 Speaker 1: Chris Crockett for Jesse Kelly. Oh yeah, this is the 287 00:17:11,520 --> 00:17:13,560 Speaker 1: Jesse Kelly Show. Chris crock filling in. If you want 288 00:17:13,560 --> 00:17:17,199 Speaker 1: to follow me on social media at Twitter, ak X 289 00:17:17,400 --> 00:17:20,080 Speaker 1: at Chris croc Show, c h R I s KR Okay. 290 00:17:20,119 --> 00:17:27,320 Speaker 1: Also podcast I do most days. It is at on Rumble. 291 00:17:27,359 --> 00:17:29,840 Speaker 1: It's at Kroc Talk, kr Okay, t A l K 292 00:17:30,000 --> 00:17:34,120 Speaker 1: on Rumble at Kroc Talk or you have a YouTube 293 00:17:34,119 --> 00:17:35,840 Speaker 1: saying when you can once stay right there. It's at 294 00:17:35,920 --> 00:17:38,760 Speaker 1: Kroc Talk Radio, k r Okay, t A l K Radio. 295 00:17:40,280 --> 00:17:43,480 Speaker 1: I want to wrap up the Afghan terrorists and all 296 00:17:43,520 --> 00:17:46,240 Speaker 1: the stories about Afghan nationals. None we're vettered, et cetera. 297 00:17:46,320 --> 00:17:47,439 Speaker 1: Want to give you a little bit more on this. 298 00:17:47,520 --> 00:17:52,239 Speaker 1: And that is this Trump saying we're gonna get out 299 00:17:52,320 --> 00:17:55,639 Speaker 1: is exactly what should be. You have the media and 300 00:17:55,680 --> 00:17:59,720 Speaker 1: the left now saying and blaming Trump for this, and 301 00:17:59,760 --> 00:18:03,960 Speaker 1: then the message is very clear that you should hide 302 00:18:04,200 --> 00:18:11,159 Speaker 1: the troops, absolutely, hide the troops, do everything except blame 303 00:18:11,280 --> 00:18:15,560 Speaker 1: Biden and the Afghan terrorists that he led into this country. 304 00:18:15,760 --> 00:18:19,040 Speaker 1: The fault is the troops are on the streets. Hide them. 305 00:18:19,359 --> 00:18:22,760 Speaker 1: For example, here's w Watson and Schultz saying this today. 306 00:18:22,920 --> 00:18:27,800 Speaker 2: Would an individual have flown across the country to target 307 00:18:28,359 --> 00:18:33,199 Speaker 2: law enforcement officers in Washington, d C. And I mean 308 00:18:33,240 --> 00:18:38,400 Speaker 2: the answer is likely no. So why wasn't the president's 309 00:18:38,400 --> 00:18:42,520 Speaker 2: first thought, Wow, you know, maybe I should reconsidered deploying 310 00:18:42,560 --> 00:18:46,159 Speaker 2: military troops in the nation's capital or in any city, 311 00:18:47,280 --> 00:18:52,760 Speaker 2: particularly not when they haven't coordinated closely with the leadership 312 00:18:53,119 --> 00:18:53,920 Speaker 2: of these cities. 313 00:18:55,000 --> 00:18:58,000 Speaker 1: Hide them. You're gonna piss off the terrorists, They're gonna 314 00:18:58,080 --> 00:19:00,000 Speaker 1: kill people. Trump, you should never have done. This year's 315 00:19:00,119 --> 00:19:03,960 Speaker 1: CNN's Dante Mills again saying hide the troops. 316 00:19:04,680 --> 00:19:06,240 Speaker 3: Well, I think the president is going to you and 317 00:19:06,280 --> 00:19:09,080 Speaker 3: his administration is going to use this incident to further 318 00:19:09,720 --> 00:19:13,719 Speaker 3: their calls of having these guardsmen on the street. The 319 00:19:13,760 --> 00:19:16,040 Speaker 3: issue that we have is if you add five hundred 320 00:19:16,040 --> 00:19:18,560 Speaker 3: people to this equation, five hundred soldiers, it doesn't It 321 00:19:18,600 --> 00:19:21,159 Speaker 3: wouldn't have stop what happened today. He walked up on 322 00:19:21,200 --> 00:19:23,880 Speaker 3: soldiers and opened fire. It would have just been more 323 00:19:23,920 --> 00:19:26,960 Speaker 3: targets there. These people are there. Their assignment is high 324 00:19:27,080 --> 00:19:30,959 Speaker 3: visibility patrol, so people know where they are. They're uniformed 325 00:19:31,359 --> 00:19:33,360 Speaker 3: so people know what they look like, and if they 326 00:19:33,400 --> 00:19:36,320 Speaker 3: want to approach them or harm them, they're in harm's way. 327 00:19:36,400 --> 00:19:39,080 Speaker 3: So why add to that and put more people in 328 00:19:39,160 --> 00:19:42,639 Speaker 3: harm's way when it wouldn't have changed the outcome in 329 00:19:42,680 --> 00:19:43,920 Speaker 3: this particular. 330 00:19:43,440 --> 00:19:47,840 Speaker 1: Manner, exactly by putting guardsmen on the street, that's a target. 331 00:19:48,680 --> 00:19:52,359 Speaker 1: You have to hide the target. You Trump made this 332 00:19:52,520 --> 00:19:56,880 Speaker 1: happen by provoking terrorists. We must appease terrorists and hide 333 00:19:56,920 --> 00:20:01,080 Speaker 1: our soldiers and then we will be safe. And then 334 00:20:01,119 --> 00:20:05,400 Speaker 1: here's a Hill columnist saying the exact same thing. 335 00:20:05,520 --> 00:20:09,840 Speaker 4: This here, I am Nile Stanard, the White House columnist 336 00:20:09,880 --> 00:20:12,239 Speaker 4: for the Hill, and actually in Harlem today, but I 337 00:20:12,280 --> 00:20:15,320 Speaker 4: hear news from Washington the two members of the National 338 00:20:15,400 --> 00:20:20,600 Speaker 4: Guard have been shot, and I'm pretty mad about that. Now, 339 00:20:20,960 --> 00:20:24,040 Speaker 4: to be clear, nobody should be shot, and the main 340 00:20:24,080 --> 00:20:28,359 Speaker 4: responsibility lies with you is doing the shooting. It is 341 00:20:28,440 --> 00:20:34,880 Speaker 4: also true that militarized policing is almost always a disaster. 342 00:20:35,640 --> 00:20:38,240 Speaker 4: It is also true that the National Guard should not 343 00:20:38,400 --> 00:20:41,399 Speaker 4: be on the streets of Washington, DC, where there's no 344 00:20:41,560 --> 00:20:46,560 Speaker 4: need for them to be. And the issue is they 345 00:20:46,560 --> 00:20:52,199 Speaker 4: are being used as political palms, and what always happens there. Unfortunately, 346 00:20:52,760 --> 00:20:55,040 Speaker 4: you will see what the motives were if ever shot 347 00:20:55,080 --> 00:20:58,239 Speaker 4: these people. But the problem is always that it is 348 00:20:58,920 --> 00:21:02,760 Speaker 4: the fruit soldiers. We end up paying the price for 349 00:21:02,840 --> 00:21:04,360 Speaker 4: political stupidity. 350 00:21:05,400 --> 00:21:08,600 Speaker 1: Do you care so much about them? I know, I 351 00:21:08,640 --> 00:21:11,080 Speaker 1: know you do. Hide them and then everything will We'll 352 00:21:11,119 --> 00:21:14,679 Speaker 1: be okay. Here's what the the Atlantic said today. This 353 00:21:14,720 --> 00:21:18,240 Speaker 1: is really bad, a terrible and avoidable tragedy. In d C. 354 00:21:18,400 --> 00:21:21,159 Speaker 1: Trump was warned that members of the military could be 355 00:21:21,240 --> 00:21:26,960 Speaker 1: attacked them. Now they won't be attacked. That's their solution. 356 00:21:27,600 --> 00:21:30,920 Speaker 1: Classic leftist appeasement like you would see on the streets 357 00:21:30,920 --> 00:21:34,600 Speaker 1: of Europe. In Europe, now we gotta throw anything out 358 00:21:34,640 --> 00:21:36,760 Speaker 1: the window, have a little fun. It's good, it's seyes 359 00:21:36,880 --> 00:21:40,680 Speaker 1: had a good Friday. It is not good Friday. It's 360 00:21:40,840 --> 00:21:45,360 Speaker 1: black Friday, isn't it. Yes, it is a good Friday. 361 00:21:45,400 --> 00:21:52,000 Speaker 1: It is a black Friday. And I'll stop it right there. 362 00:21:52,960 --> 00:21:56,200 Speaker 1: Did you throw up in your mouth mouth yet? Producer Chris, Yes, 363 00:21:56,240 --> 00:22:01,879 Speaker 1: he did. Okay, all right, you know what would help? Truthfully? 364 00:22:03,160 --> 00:22:04,920 Speaker 1: I played this party? 365 00:22:05,000 --> 00:22:05,360 Speaker 2: What help? 366 00:22:06,760 --> 00:22:06,920 Speaker 1: Cool? 367 00:22:07,000 --> 00:22:10,040 Speaker 3: Cast for every you said? 368 00:22:11,720 --> 00:22:16,960 Speaker 1: There you go, what that's true. But you have to, 369 00:22:17,040 --> 00:22:19,440 Speaker 1: like Obama said, you gotta spend money to save money. Okay, 370 00:22:19,800 --> 00:22:23,800 Speaker 1: got it? There you go. You'd know that if you 371 00:22:23,880 --> 00:22:29,199 Speaker 1: were voting Democrat Sam's this is so great on so 372 00:22:29,240 --> 00:22:34,639 Speaker 1: many levels. Sam's Club shopper sparks fury by taking every 373 00:22:35,119 --> 00:22:39,920 Speaker 1: roast chicken from hot shelf on Thanksgiving Eve and then 374 00:22:40,119 --> 00:22:45,000 Speaker 1: heart heart trending reason for her behavior emerged. A woman 375 00:22:45,080 --> 00:22:49,560 Speaker 1: sparked outrating Sam's Club and Thanksgiving Eve. There was a 376 00:22:49,600 --> 00:22:52,800 Speaker 1: woman who literally took every single you know, the chickens 377 00:22:52,800 --> 00:22:55,120 Speaker 1: that's cooked and it's warm, and it's under the warming things. 378 00:22:55,200 --> 00:22:56,480 Speaker 1: You can get it and bring it home and eat 379 00:22:56,480 --> 00:22:59,760 Speaker 1: it right away when that's when you're Yes, she bought 380 00:23:00,040 --> 00:23:01,720 Speaker 1: on producer Chris one of the time in again and 381 00:23:01,760 --> 00:23:04,919 Speaker 1: say this to extremely be direct with me and be 382 00:23:05,359 --> 00:23:11,359 Speaker 1: over Chris, like thirty he said, thirty of them, thirty chickens. Yes, 383 00:23:12,600 --> 00:23:15,640 Speaker 1: she had those massive Sam's clum Club's carts, like two 384 00:23:15,680 --> 00:23:19,800 Speaker 1: of them and the boxes and filled up every single 385 00:23:19,960 --> 00:23:23,359 Speaker 1: hot chicken was loaded up. The unknown customer caught on 386 00:23:23,440 --> 00:23:28,560 Speaker 1: camera being confronted by another shopper who questioned her large purchase. 387 00:23:29,560 --> 00:23:32,159 Speaker 1: The shouting woman pointed out to the cart full of 388 00:23:32,280 --> 00:23:36,880 Speaker 1: roast chickens and said, you're not used to nothing, that's 389 00:23:36,880 --> 00:23:40,880 Speaker 1: why you're doing this. What you're not used to nothing. No, 390 00:23:40,920 --> 00:23:44,720 Speaker 1: you're not used to s S word. That's why you 391 00:23:44,840 --> 00:23:49,240 Speaker 1: do that. That's some bull s though, a Christian like 392 00:23:49,359 --> 00:23:51,520 Speaker 1: you don't do stuff like that. I don't know the 393 00:23:51,560 --> 00:23:56,720 Speaker 1: woman's a Christian. As she left the Los Angeles Sam's Club, 394 00:23:57,240 --> 00:24:03,719 Speaker 1: the shopper cried, this chick took all the chicken. Now, 395 00:24:03,760 --> 00:24:10,040 Speaker 1: before we get into the rest of the story, Okay, 396 00:24:10,119 --> 00:24:12,680 Speaker 1: you want to buy one of those. You see her 397 00:24:12,720 --> 00:24:15,919 Speaker 1: take them all and you're mad, that's fine. Do you 398 00:24:16,000 --> 00:24:20,280 Speaker 1: yell at her? Do you attack her in public openly? 399 00:24:22,160 --> 00:24:24,360 Speaker 1: Do you ask her politely and quietly if you could 400 00:24:24,400 --> 00:24:27,840 Speaker 1: have one? Or do you just let it go and 401 00:24:27,880 --> 00:24:29,480 Speaker 1: be angry at her and tell the story when you 402 00:24:29,480 --> 00:24:31,199 Speaker 1: get home to your friends or family, or like this 403 00:24:31,320 --> 00:24:33,560 Speaker 1: crazy lady Bartle's chicken the I'm so mad, I don't 404 00:24:33,560 --> 00:24:36,960 Speaker 1: want to buy one? Well, she don't. Do You don't 405 00:24:37,000 --> 00:24:40,320 Speaker 1: yell at this woman and acting like a fool and screaming, 406 00:24:40,400 --> 00:24:44,080 Speaker 1: yell because you know better than she is. Regardless. Number two, 407 00:24:44,119 --> 00:24:46,720 Speaker 1: you don't know what she's buying them for. Do you 408 00:24:46,760 --> 00:24:49,600 Speaker 1: really think she's buying them all? If there's that many 409 00:24:49,640 --> 00:24:54,080 Speaker 1: of them and gonna eat them all, Maybe she's having 410 00:24:54,119 --> 00:24:57,000 Speaker 1: some massive party. I don't know. And by the way, 411 00:24:57,119 --> 00:25:01,200 Speaker 1: it's none of your business. There's nothing eagle or wrong 412 00:25:01,359 --> 00:25:03,360 Speaker 1: unless they have a policy at the store, in which 413 00:25:03,400 --> 00:25:06,240 Speaker 1: case dellinforce it. And I've obviously welcome to go talk 414 00:25:06,280 --> 00:25:09,879 Speaker 1: to a manager or employees say very politely and gently 415 00:25:10,520 --> 00:25:13,920 Speaker 1: excuse me, ma'am or sir, that lady's got like thirty 416 00:25:14,240 --> 00:25:16,639 Speaker 1: turkey chickens on there. And I would like one is 417 00:25:16,640 --> 00:25:19,760 Speaker 1: that is she allowed to do that because he allowed 418 00:25:19,760 --> 00:25:21,919 Speaker 1: them to be the intermediary for you and say no, 419 00:25:22,000 --> 00:25:24,000 Speaker 1: she's allowed to do that. I'm sorry. Okay, well then 420 00:25:24,000 --> 00:25:28,520 Speaker 1: you can be pissed, but let it go. Somebody who 421 00:25:29,160 --> 00:25:33,560 Speaker 1: is a fool lashes out publicly like that, and and 422 00:25:33,880 --> 00:25:36,080 Speaker 1: you're not going to get the chicken when you do that. Anyways, 423 00:25:36,080 --> 00:25:39,720 Speaker 1: you're shaming people in at tech and it's saying Christian. Well, 424 00:25:39,760 --> 00:25:43,240 Speaker 1: you're certainly not acting like a Christian. You're acting a fool. 425 00:25:43,440 --> 00:25:48,200 Speaker 1: You're a clown. You are no better than her. Now, 426 00:25:49,400 --> 00:25:51,240 Speaker 1: my thoughts were, what is she buying all the chicken for? 427 00:25:51,359 --> 00:25:53,040 Speaker 1: And I'm thinking he is some party or something like that. 428 00:25:53,080 --> 00:25:55,199 Speaker 1: Well it turned out she bought it for a homeless 429 00:25:55,200 --> 00:25:57,879 Speaker 1: shelter to feed people on Thanksgiving. Maybe she needs to 430 00:25:57,880 --> 00:25:59,520 Speaker 1: be talked though that the chicken is not a turkey, 431 00:25:59,560 --> 00:26:02,960 Speaker 1: but that's an other story. Social media's had originally j Social 432 00:26:02,920 --> 00:26:05,760 Speaker 1: media users originally jumped on the bandwagon berating the customer, 433 00:26:05,760 --> 00:26:09,520 Speaker 1: only the backtrack when a second video emerged. One person 434 00:26:09,520 --> 00:26:11,359 Speaker 1: said she stayed calm because she knew that food was 435 00:26:11,359 --> 00:26:12,840 Speaker 1: where the food was going. They can get mad all 436 00:26:12,880 --> 00:26:15,480 Speaker 1: they want, but she's amazing for her selflessness on Thanksgiving. 437 00:26:16,720 --> 00:26:18,399 Speaker 1: The woman who went and bought all it because she 438 00:26:18,480 --> 00:26:21,760 Speaker 1: was feeding people who were hungry on Thanksgiving Day, which 439 00:26:21,800 --> 00:26:24,159 Speaker 1: is why when you don't know what's going on, you 440 00:26:24,160 --> 00:26:26,160 Speaker 1: don't yell and do something like that. So the woman 441 00:26:26,200 --> 00:26:29,760 Speaker 1: that yelled is an idiot. She's a fool, classless, and 442 00:26:30,160 --> 00:26:32,359 Speaker 1: is the antithesis of a christ like behavior that she 443 00:26:32,440 --> 00:26:34,840 Speaker 1: was trying to foist on this other lady. So there 444 00:26:34,840 --> 00:26:38,560 Speaker 1: you go, there you go. You don't know what you're doing. 445 00:26:38,600 --> 00:26:40,160 Speaker 1: You don't know what they're doing for what or why. 446 00:26:41,160 --> 00:26:43,160 Speaker 1: So don't act a fool, and don't be a fool, 447 00:26:43,160 --> 00:26:45,000 Speaker 1: because you're the one who looks like an idiot, not 448 00:26:45,040 --> 00:26:46,560 Speaker 1: that lady. And even if she was buying for some 449 00:26:46,640 --> 00:26:49,119 Speaker 1: big party, it was privately. Doesn't matter. It's her business 450 00:26:49,200 --> 00:26:50,840 Speaker 1: unless it by ADA. It's policy, which is why you 451 00:26:50,880 --> 00:26:55,320 Speaker 1: ask gently somebody at the store if you're concerned. Coming 452 00:26:55,400 --> 00:26:58,160 Speaker 1: up next, what you are supposed to do after your 453 00:26:58,480 --> 00:27:02,720 Speaker 1: massive Thanksgiving meal. Supposed to do something. It's something that 454 00:27:02,760 --> 00:27:05,320 Speaker 1: will make you laugh and chuckle. Doctors recommend you do 455 00:27:05,440 --> 00:27:07,879 Speaker 1: this after a massive Thanksgiving me you're probably having one 456 00:27:07,880 --> 00:27:11,399 Speaker 1: again tonight on this afternoon because you have leftovers. All 457 00:27:11,400 --> 00:27:14,159 Speaker 1: that's next. It's Chris crock and for Jesse Kelly on 458 00:27:14,280 --> 00:27:18,200 Speaker 1: the Jesse Kelly Show. This is an intentional act of sabotage. 459 00:27:18,280 --> 00:27:22,400 Speaker 1: Right now, you're literally witnessing an intentional act of sabotaged 460 00:27:22,440 --> 00:27:29,679 Speaker 1: by prucer Chris playing a lame Eagle song. He knows 461 00:27:29,760 --> 00:27:32,840 Speaker 1: how I feel about the slow Eagles song. Oh all 462 00:27:32,920 --> 00:27:38,199 Speaker 1: their slow songs, Johnny cum lately. What do you do 463 00:27:38,240 --> 00:27:40,240 Speaker 1: in that is come on at the Eagles concert, you leave, 464 00:27:40,359 --> 00:27:44,280 Speaker 1: you got a beer, you go to the bathroom. But 465 00:27:44,359 --> 00:27:48,200 Speaker 1: here he is playing this. It's terrible. By the way, 466 00:27:48,280 --> 00:27:51,640 Speaker 1: the other day, there's two things about Joe Walsh that 467 00:27:51,720 --> 00:27:54,640 Speaker 1: I have come across. And you know, the smartphone knows 468 00:27:54,680 --> 00:27:56,600 Speaker 1: what's going on. And then you start seeing other things 469 00:27:56,640 --> 00:28:01,360 Speaker 1: because you look at certain things. And I saw Joe Walsh. 470 00:28:01,400 --> 00:28:06,760 Speaker 1: I just he literally gave the Eagles the test house 471 00:28:06,800 --> 00:28:13,280 Speaker 1: for him. They didn't have any without him. And in 472 00:28:13,320 --> 00:28:15,520 Speaker 1: the City is the best, one of the best songs period. 473 00:28:15,600 --> 00:28:18,720 Speaker 1: I love it so much. I could play on repeat 474 00:28:18,760 --> 00:28:22,600 Speaker 1: for like an hour any given day. But I saw 475 00:28:22,640 --> 00:28:25,880 Speaker 1: that he on Veterans Day, he went and visited veterans 476 00:28:25,880 --> 00:28:30,480 Speaker 1: at the hospital. And here's a guy who's wildly successful 477 00:28:30,560 --> 00:28:33,439 Speaker 1: for most of all his life, and he doesn't need 478 00:28:33,440 --> 00:28:35,159 Speaker 1: to do anything, and he goes and he goes to 479 00:28:35,200 --> 00:28:38,080 Speaker 1: a veterans hospital and he just loves him and all 480 00:28:38,120 --> 00:28:42,520 Speaker 1: sorts of great pictures. It was beautiful and I liked 481 00:28:42,560 --> 00:28:46,200 Speaker 1: that a lot. I thought that was wonderful. There was 482 00:28:46,240 --> 00:28:50,200 Speaker 1: something else I saw after that. It comes to me 483 00:28:50,200 --> 00:28:57,200 Speaker 1: in a minute, But we're a great guy. Doctors recommend 484 00:28:57,440 --> 00:29:01,840 Speaker 1: taking a fart walk on Thanksgiving. I'm not making this up. 485 00:29:01,880 --> 00:29:08,520 Speaker 1: This is from a story in the news. Well, first 486 00:29:08,560 --> 00:29:13,600 Speaker 1: of all, don't believe me. Here is a doctor and 487 00:29:13,640 --> 00:29:16,640 Speaker 1: indeed she says we need to take a fart walk 488 00:29:16,680 --> 00:29:18,160 Speaker 1: after we have a big Thanksgiving meal. 489 00:29:18,400 --> 00:29:23,800 Speaker 5: So the fart walk the highly scientific term for just 490 00:29:23,800 --> 00:29:25,640 Speaker 5: a walk that you take for about ten to fifteen 491 00:29:25,680 --> 00:29:28,240 Speaker 5: minutes shortly after eating a big meal like the kinds 492 00:29:28,280 --> 00:29:30,040 Speaker 5: we're all going to be having tomorrow. And what it 493 00:29:30,080 --> 00:29:33,520 Speaker 5: does is help relieve bloating and flatulence. And there's actually 494 00:29:33,520 --> 00:29:36,080 Speaker 5: a second very good reason to engage in the fart walk, 495 00:29:36,120 --> 00:29:38,600 Speaker 5: which is that going for a walk after eating it 496 00:29:38,640 --> 00:29:41,960 Speaker 5: actually helps prevent spikes in your blood sugar, so kind 497 00:29:41,960 --> 00:29:48,520 Speaker 5: of bring those blood sugar levels down. 498 00:29:49,760 --> 00:29:57,680 Speaker 1: Fart rock, Yeah, fart rock. Here's why doctor recommends it. Well, 499 00:29:57,720 --> 00:29:59,960 Speaker 1: she kind of said it. But the addition easing bloating, 500 00:30:00,080 --> 00:30:05,400 Speaker 1: this doctor noted another benefit blood sugar. She's an instructive 501 00:30:05,400 --> 00:30:11,400 Speaker 1: of medicine at Harvard Harvard Medical School. She writes ask 502 00:30:11,560 --> 00:30:15,400 Speaker 1: the Doctor for Ask the Doctor Colin in the Washington Post. Okay, 503 00:30:15,960 --> 00:30:19,320 Speaker 1: And she also has a she has a book, a 504 00:30:19,440 --> 00:30:30,040 Speaker 1: science book called You've been Pooping All Wrong. Wow, that's great, 505 00:30:30,240 --> 00:30:35,760 Speaker 1: Thank you. What am I gonna say about that? That's it? 506 00:30:36,040 --> 00:30:37,800 Speaker 1: A producer, Christian, you're gonna go. You're still going with 507 00:30:37,840 --> 00:30:40,000 Speaker 1: me on the fart walk after we finished the show. 508 00:30:40,600 --> 00:30:43,600 Speaker 1: All right, we're gonna do a fart walk together. Just 509 00:30:43,680 --> 00:30:48,680 Speaker 1: keep your distance while we do our fartwalks. What deck heartwalk? 510 00:30:49,520 --> 00:30:55,520 Speaker 1: Uh study if Batman, this is great. If Batman is present, 511 00:30:55,720 --> 00:30:59,239 Speaker 1: people are more polite. I knew it. I knew it, 512 00:30:59,280 --> 00:31:05,680 Speaker 1: and I knew it. Seriously, if Batman's there, everything is good. 513 00:31:03,960 --> 00:31:06,240 Speaker 5: You are. 514 00:31:11,520 --> 00:31:14,880 Speaker 3: Yeah, I'm Batman. 515 00:31:19,800 --> 00:31:27,120 Speaker 1: Yes. A study published this month in the NPG Mental 516 00:31:27,160 --> 00:31:31,200 Speaker 1: Health Research Publication shows that nearly in any nearly in 517 00:31:31,240 --> 00:31:34,280 Speaker 1: any situation, if somebody is present dressed as Batman, people 518 00:31:34,400 --> 00:31:37,560 Speaker 1: behaved better. You want to hear what's funny? I actually 519 00:31:37,560 --> 00:31:40,560 Speaker 1: believe this. I totally believe this, because you're like, what 520 00:31:40,600 --> 00:31:43,520 Speaker 1: the heck's going on here? It just throws you out 521 00:31:43,520 --> 00:31:46,960 Speaker 1: of your normal pattern. I'm not saying I know that. 522 00:31:47,040 --> 00:31:50,560 Speaker 1: I've never been approached or been around Batman. I've never, 523 00:31:51,800 --> 00:31:54,040 Speaker 1: and which is why I would not do anything bad 524 00:31:54,280 --> 00:31:57,080 Speaker 1: or impolite with him around. I'd be like, what is 525 00:31:57,080 --> 00:32:00,360 Speaker 1: Batman doing here? What is this? Of course, even if 526 00:32:00,360 --> 00:32:05,960 Speaker 1: it's not the real Batman, it's still Batman somebody dressed 527 00:32:05,960 --> 00:32:10,440 Speaker 1: as Batman. So this study tested whether an unexpected events 528 00:32:10,480 --> 00:32:12,719 Speaker 1: such as the president of a person presence, or a 529 00:32:12,720 --> 00:32:16,120 Speaker 1: person dressed as Batman, could increase the pro social behavior 530 00:32:16,400 --> 00:32:19,920 Speaker 1: by disrupting routine and enhancing attention to the present moment. 531 00:32:20,600 --> 00:32:22,280 Speaker 1: Maybe you should try going on the subway in New 532 00:32:22,320 --> 00:32:24,840 Speaker 1: York and a Batman costume. You probably get knifed and beaten, 533 00:32:25,120 --> 00:32:28,200 Speaker 1: but let's see, or a little flame by a uh 534 00:32:28,280 --> 00:32:32,360 Speaker 1: in illegal God, God forbid. Here's how they ran the experiment. 535 00:32:32,400 --> 00:32:36,800 Speaker 1: A pregnant experimenter boarded a train in Milan one hundred 536 00:32:36,800 --> 00:32:39,000 Speaker 1: and thirty eight times during the busiest times of the day. 537 00:32:39,000 --> 00:32:41,760 Speaker 1: In the controlled version, that's all that happened. She just 538 00:32:41,760 --> 00:32:44,320 Speaker 1: get on and get off at the researcher. The researchers 539 00:32:44,360 --> 00:32:46,160 Speaker 1: recorded how many times somebody got up and offer her 540 00:32:46,160 --> 00:32:50,560 Speaker 1: a seat. This is actually pretty interesting. In the experimental version, 541 00:32:50,640 --> 00:32:58,440 Speaker 1: an experimental addressed as Batman also boarded. Sorry, who's this guy? 542 00:32:58,520 --> 00:33:00,280 Speaker 1: Some loser? Who's this guy? Is gonna be ask me 543 00:33:00,320 --> 00:33:03,280 Speaker 1: for money? He's a panhandler? Hey, I'm Batman. Remember in 544 00:33:03,280 --> 00:33:06,160 Speaker 1: New York City Times Square they all all these idiots 545 00:33:06,240 --> 00:33:08,880 Speaker 1: dressed as different characters, And would they ask you for money? 546 00:33:08,920 --> 00:33:10,239 Speaker 1: They'd get mad at you if he didn't give them 547 00:33:10,240 --> 00:33:13,800 Speaker 1: money because they're dressed up a costume. Get a freaking job, dude. 548 00:33:14,960 --> 00:33:18,200 Speaker 1: In the experimental version of an experimental addresses Batman also 549 00:33:18,240 --> 00:33:22,360 Speaker 1: boarded the train via another door, the bat door they 550 00:33:22,400 --> 00:33:25,800 Speaker 1: call it. He should come from the from the from 551 00:33:25,840 --> 00:33:30,600 Speaker 1: the roof, float down. I'm Batman, And how you say 552 00:33:30,640 --> 00:33:35,560 Speaker 1: it is very important. I'm Batman or I'm bat Man, 553 00:33:36,240 --> 00:33:42,000 Speaker 1: I'm Buttman. Shocking that people were more polite, way more polite, 554 00:33:42,000 --> 00:33:44,040 Speaker 1: it says, to offer the pregnant lady a seat when 555 00:33:44,040 --> 00:33:47,160 Speaker 1: Batman was if he was present, then if he wasn't 556 00:33:47,240 --> 00:33:55,120 Speaker 1: sixty seven percent versus thirty seven a better Uh what 557 00:33:55,160 --> 00:33:57,480 Speaker 1: are you going to call thirty percent more better manners? 558 00:33:57,600 --> 00:34:01,840 Speaker 1: Thirty percent of the time with Batman there, I'm Buttman, 559 00:34:02,680 --> 00:34:06,560 Speaker 1: butt Man, I'm Buttman. What happens when button Man gets 560 00:34:06,560 --> 00:34:11,560 Speaker 1: into point around the train, The researchers suggests the button 561 00:34:11,600 --> 00:34:15,520 Speaker 1: Man effect occurs. We'll come back to this. It's a 562 00:34:15,600 --> 00:34:18,520 Speaker 1: very important story. It's Chris Crocket for Jesse Kelly and 563 00:34:18,560 --> 00:34:19,160 Speaker 1: the Jesse Kelly