1 00:00:07,120 --> 00:00:11,320 Speaker 1: Libs may agree with Maha, which is of first, a 2 00:00:11,480 --> 00:00:15,840 Speaker 1: city is suing a bunch of food manufacturers. Also, a 3 00:00:15,840 --> 00:00:20,040 Speaker 1: federal judge sues President Trump in the administration over discrimination. 4 00:00:20,600 --> 00:00:23,360 Speaker 1: It's kind of hilarious how he responded and a big 5 00:00:23,400 --> 00:00:26,920 Speaker 1: win for kids in America. But of course libs are 6 00:00:26,920 --> 00:00:29,760 Speaker 1: mad about that, because they're mad about everything. Also, some 7 00:00:29,840 --> 00:00:31,720 Speaker 1: headlines to get to, so much to get to here 8 00:00:31,720 --> 00:00:33,800 Speaker 1: At Turning Points Tonight, my name is Jobob. Thanks so 9 00:00:33,840 --> 00:00:36,280 Speaker 1: much for tuning in. Together we are charting the course 10 00:00:36,320 --> 00:00:40,800 Speaker 1: of America's cultural comeback. This is Turning Point Tonight. Now 11 00:00:40,800 --> 00:00:43,400 Speaker 1: it's always you gotta remind you of folks, the good 12 00:00:43,440 --> 00:00:46,000 Speaker 1: folks that watch the show. TPT at tposa dot com 13 00:00:46,040 --> 00:00:47,960 Speaker 1: is the email addressed if you'd like to send us 14 00:00:48,000 --> 00:00:51,640 Speaker 1: along your thoughts, comments, concerns. We are doing a mail 15 00:00:51,680 --> 00:00:54,840 Speaker 1: bag section of this show in the last segment of 16 00:00:54,840 --> 00:00:57,480 Speaker 1: the show, So if you'd like to get your email mentioned, 17 00:00:57,560 --> 00:00:59,800 Speaker 1: or at least have the chance, make sure the email 18 00:00:59,840 --> 00:01:03,760 Speaker 1: is vile and disgusting and awful and that actually gives 19 00:01:03,760 --> 00:01:05,600 Speaker 1: you a better chance of being read on this show 20 00:01:05,600 --> 00:01:08,360 Speaker 1: in the mailbag section in the last segment. 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You get to see 31 00:01:33,120 --> 00:01:36,399 Speaker 1: that extra segment and subscribe to the podcast. By the way, too, 32 00:01:36,840 --> 00:01:39,920 Speaker 1: we're ramping that up getting the podcast going, So if 33 00:01:39,920 --> 00:01:42,120 Speaker 1: you don't already and you want to throw in the 34 00:01:42,160 --> 00:01:44,600 Speaker 1: show while you're mowing the lawn, cleaning the pool, doing 35 00:01:44,640 --> 00:01:47,480 Speaker 1: household chores, that is where you go to listen to 36 00:01:47,760 --> 00:01:50,600 Speaker 1: all of that to get into the first thing that 37 00:01:50,640 --> 00:01:53,000 Speaker 1: I think is the most interesting thing, and it ties 38 00:01:53,040 --> 00:01:56,280 Speaker 1: in so well to a big freaking issue that I've 39 00:01:56,360 --> 00:01:58,680 Speaker 1: had for a very long time. Not in a good way, 40 00:01:58,680 --> 00:02:04,200 Speaker 1: by the way, but it gives kind of a sentiment 41 00:02:04,520 --> 00:02:08,120 Speaker 1: to what we believe in the you know, conservative right, 42 00:02:08,200 --> 00:02:12,160 Speaker 1: the people that acknowledge reality while not actually getting there. 43 00:02:12,480 --> 00:02:16,560 Speaker 1: All the way, the city of San Francisco is suing 44 00:02:16,960 --> 00:02:21,320 Speaker 1: some food manufacturers because they say food is what is 45 00:02:21,919 --> 00:02:25,079 Speaker 1: the biggest problem with the health and wellness of their 46 00:02:25,080 --> 00:02:29,200 Speaker 1: citizens there in San Francisco. Now, uh, there are some 47 00:02:29,280 --> 00:02:31,520 Speaker 1: ties to the MAHA movement here, and I think those 48 00:02:31,880 --> 00:02:33,880 Speaker 1: should be well noted, and we'll get to that in 49 00:02:34,000 --> 00:02:37,480 Speaker 1: just a second. But there's a huge freaking difference as 50 00:02:37,480 --> 00:02:40,320 Speaker 1: to how the MAHA approach is taking to food health 51 00:02:40,400 --> 00:02:44,080 Speaker 1: and wellness and the lib's approach to health and wellness. 52 00:02:44,080 --> 00:02:47,920 Speaker 1: Here San Francisco is following the first ever. 53 00:02:55,720 --> 00:02:56,480 Speaker 2: This even helps. 54 00:02:57,800 --> 00:03:01,280 Speaker 1: Are you mad? Are you hey? Hello? 55 00:03:01,880 --> 00:03:02,120 Speaker 3: Hey? 56 00:03:02,880 --> 00:03:08,840 Speaker 1: What's up? How? Why just paddle? 57 00:03:08,840 --> 00:03:13,359 Speaker 4: You gotta paddle backwards. Paddle backwards. Yeah, No, go the 58 00:03:13,440 --> 00:03:15,320 Speaker 4: other way. Go to the other way. No, paddle the 59 00:03:15,400 --> 00:03:18,079 Speaker 4: other way. Paddle the other way. Go that way. There 60 00:03:18,120 --> 00:03:20,880 Speaker 4: you go, keep on going. Paddle backwards. 61 00:03:21,520 --> 00:03:22,119 Speaker 1: There you go. 62 00:03:22,520 --> 00:03:23,600 Speaker 5: Nice, there you go. 63 00:03:23,760 --> 00:03:24,399 Speaker 1: There you go. 64 00:03:24,680 --> 00:03:29,040 Speaker 4: Okay, Okay, now you go the other way. Okay, Now 65 00:03:29,080 --> 00:03:31,920 Speaker 4: paddle forwards and turn your paddle around. 66 00:03:32,600 --> 00:03:33,720 Speaker 3: Yeah, flip the paddle. 67 00:03:33,840 --> 00:03:34,600 Speaker 1: There you go. 68 00:03:35,400 --> 00:03:41,120 Speaker 4: That that's expert. 69 00:03:41,480 --> 00:03:45,160 Speaker 1: That seems like a bit of an overreaction. Screaming bloody 70 00:03:45,240 --> 00:03:52,520 Speaker 1: murder is it. I can't swim, just paddle backwards. Not 71 00:03:52,560 --> 00:03:57,640 Speaker 1: to get too heavy about this, but well, these people's 72 00:03:57,680 --> 00:04:00,280 Speaker 1: votes count the same as yours. That's not put a 73 00:04:00,320 --> 00:04:04,040 Speaker 1: damper on your day. But I don't if this is 74 00:04:04,040 --> 00:04:06,880 Speaker 1: in the United States of America, and if there from the 75 00:04:06,920 --> 00:04:10,240 Speaker 1: accent doesn't necessarily sound like that's a given. It's not 76 00:04:10,280 --> 00:04:14,400 Speaker 1: a guarantee necessarily. But let's just say that these people 77 00:04:14,440 --> 00:04:18,760 Speaker 1: are here legally and even citizens of the United States, 78 00:04:18,800 --> 00:04:21,080 Speaker 1: their vote counts the same as yours, and they can't 79 00:04:21,080 --> 00:04:25,160 Speaker 1: figure out how to paddle backwards when they've accidentally paddled 80 00:04:25,480 --> 00:04:31,400 Speaker 1: into a large ship. So great, Glad, Glad, that's that's 81 00:04:31,440 --> 00:04:35,640 Speaker 1: the case. Speaking of immigration, that might have been too 82 00:04:35,680 --> 00:04:39,000 Speaker 1: big of a jump. Speaking of immigration, though, President Trump 83 00:04:39,400 --> 00:04:42,640 Speaker 1: is hit with a lawsuit, well, the Trump administration was 84 00:04:42,680 --> 00:04:47,760 Speaker 1: hit with a lawsuit. Tanya Nemor, no Ohio immigration judge, 85 00:04:47,760 --> 00:04:52,240 Speaker 1: filed a lawsuit claiming that she was terminated because of 86 00:04:52,279 --> 00:04:57,880 Speaker 1: her gender, her Lebanese citizenship, and passed Democratic nominations for 87 00:04:58,040 --> 00:05:01,720 Speaker 1: local offices. She was a Democratic candidate who ran in 88 00:05:01,720 --> 00:05:04,600 Speaker 1: an election and because of all those reasons, because she's 89 00:05:04,640 --> 00:05:08,440 Speaker 1: a woman, she has citizenship to another country, which that's 90 00:05:08,440 --> 00:05:10,400 Speaker 1: actually going to be a big conversation going forward. We're 91 00:05:10,400 --> 00:05:13,640 Speaker 1: not necessarily going to talk about a ton right here 92 00:05:13,720 --> 00:05:16,480 Speaker 1: right now, but we will in the future. Because Bernie 93 00:05:16,560 --> 00:05:19,200 Speaker 1: Moreno is bringing up a good point, Hey, should you 94 00:05:19,240 --> 00:05:21,480 Speaker 1: have should you be able to have dual citizenship? The 95 00:05:21,520 --> 00:05:23,760 Speaker 1: answer is clearly no, and we don't. Again, we don't 96 00:05:23,760 --> 00:05:27,880 Speaker 1: have time to get into that entirely now. But well, yeah, 97 00:05:27,960 --> 00:05:31,920 Speaker 1: because her gender, her Lebany citizenship, and her past as 98 00:05:31,960 --> 00:05:36,640 Speaker 1: a LIB candidate for local office. That's why she is 99 00:05:36,680 --> 00:05:40,279 Speaker 1: suing the administration, file the lawsuit saying, hey, I need 100 00:05:40,279 --> 00:05:44,080 Speaker 1: my job back, I need to be reinstated. She was 101 00:05:44,120 --> 00:05:47,440 Speaker 1: appointed this judge in twenty twenty three into the Biden 102 00:05:47,480 --> 00:05:52,360 Speaker 1: administration is now seeking reinstatement. She claims her termination on 103 00:05:52,440 --> 00:05:58,599 Speaker 1: February fifth violated her constitutional right to engage in political activity. Now, 104 00:06:00,040 --> 00:06:02,320 Speaker 1: I don't think there's really any evidence to suggest that 105 00:06:02,320 --> 00:06:04,719 Speaker 1: that is specifically the sole reason why she was fired. 106 00:06:04,720 --> 00:06:07,960 Speaker 1: It could just be she was a bad judge. Who knows? 107 00:06:10,200 --> 00:06:13,200 Speaker 1: And how did the Trump administration respond to this? How 108 00:06:13,240 --> 00:06:17,280 Speaker 1: did the Trump administration respond to the allegations that they 109 00:06:17,400 --> 00:06:21,760 Speaker 1: fired an immigration judge solely because they didn't like her 110 00:06:23,320 --> 00:06:25,919 Speaker 1: fired eight more. I don't know if this is just 111 00:06:25,960 --> 00:06:29,080 Speaker 1: a coincidental timing, but it is very funny to be 112 00:06:29,160 --> 00:06:32,760 Speaker 1: on the same day that a former federal judge filed 113 00:06:32,760 --> 00:06:35,359 Speaker 1: a lawsuit against it. Hey, you shouldn't have fired me 114 00:06:35,440 --> 00:06:37,320 Speaker 1: because you know you don't like me. I'm doing a 115 00:06:37,320 --> 00:06:43,080 Speaker 1: bad job. Whatever it is the Trump administration, Oh okay, Also, 116 00:06:43,120 --> 00:06:49,000 Speaker 1: we're firing eight more of these people, these judges. I 117 00:06:49,040 --> 00:06:52,680 Speaker 1: just think that's hilarious. It's like, well, we can come 118 00:06:52,760 --> 00:06:54,279 Speaker 1: up with a bunch of different metaphors as to what 119 00:06:54,320 --> 00:06:56,880 Speaker 1: that is, but that's a I think this is probably 120 00:06:56,960 --> 00:06:59,800 Speaker 1: somewhat of a timing coincidence, but it is funny nonetheless 121 00:06:59,839 --> 00:07:01,920 Speaker 1: that on the same days hit with a lawsuit, Hey 122 00:07:02,240 --> 00:07:06,400 Speaker 1: you can't fire me, the administration goes, oh, okay, we 123 00:07:06,400 --> 00:07:08,000 Speaker 1: don't really care about that. By the way, we're firing 124 00:07:08,040 --> 00:07:11,760 Speaker 1: it more. I fired a bunch of eight judges in 125 00:07:11,800 --> 00:07:15,720 Speaker 1: the Manhattan area immigration judges. Now you may be wondering, well, 126 00:07:16,440 --> 00:07:21,600 Speaker 1: should we be firing immigration judges. The Department of Government 127 00:07:21,640 --> 00:07:26,200 Speaker 1: Deficiencies effort was to cut spending by eliminating about two 128 00:07:26,320 --> 00:07:31,280 Speaker 1: hundred immigration judges, sorry about two and immigration judges have 129 00:07:31,320 --> 00:07:35,400 Speaker 1: either resigned or been let go. Of those two hundred, 130 00:07:35,360 --> 00:07:38,600 Speaker 1: about one hundred of them were actually fired rather than resigning. 131 00:07:38,680 --> 00:07:41,120 Speaker 1: Now you may be thinking, hey, there's a huge backlog 132 00:07:41,360 --> 00:07:43,440 Speaker 1: of illegals in the country. You want to get them 133 00:07:43,560 --> 00:07:46,680 Speaker 1: through the process so we can boot them out of 134 00:07:46,680 --> 00:07:48,679 Speaker 1: the country. You might be thinking that, yes, I agree 135 00:07:48,720 --> 00:07:52,440 Speaker 1: with that. The problem is, and I mean, this is 136 00:07:52,760 --> 00:07:57,520 Speaker 1: just kind of obvious. Well, if the judges that are 137 00:07:57,560 --> 00:08:00,680 Speaker 1: super super lenient are saying, yay, go ahead, stay, go ahead, 138 00:08:00,720 --> 00:08:02,560 Speaker 1: yees stay stay stay here, stay here, don't don't worry 139 00:08:02,560 --> 00:08:04,360 Speaker 1: about it, just to stay here. Yeah, we would like 140 00:08:04,360 --> 00:08:07,200 Speaker 1: those people fire. We would like those people to not 141 00:08:07,360 --> 00:08:11,760 Speaker 1: have the power to grant amnesty to anybody they'd choose 142 00:08:12,120 --> 00:08:16,480 Speaker 1: specifically because they think Orange Man bad. We can't deport 143 00:08:16,560 --> 00:08:22,040 Speaker 1: people now. Interestingly enough, Syracuse University reports that the federal 144 00:08:22,040 --> 00:08:25,280 Speaker 1: immigration system currently is a backlog of three point four 145 00:08:25,680 --> 00:08:28,120 Speaker 1: million cases, which is a lot. But I also don't 146 00:08:28,120 --> 00:08:30,920 Speaker 1: think enough. Necessarily, if twenty million people came in the 147 00:08:30,920 --> 00:08:33,080 Speaker 1: country legally, why is there only three point four million 148 00:08:33,120 --> 00:08:37,440 Speaker 1: cases in the backlog. The article that I pulled this from, 149 00:08:37,920 --> 00:08:42,800 Speaker 1: I believe it was the Associated Press. Maybe it wasn't 150 00:08:43,120 --> 00:08:47,760 Speaker 1: Big Lib outlet, probably because they say, despite the massive backlogs, 151 00:08:47,840 --> 00:08:51,839 Speaker 1: judges continue to be terminate, which again, good if they 152 00:08:51,880 --> 00:08:55,600 Speaker 1: are appointed by Joe Biden and Trump has the legal 153 00:08:55,679 --> 00:08:57,800 Speaker 1: right to be able to fire them, go ahead and 154 00:08:57,840 --> 00:09:01,160 Speaker 1: do that, because I'd rather have the backlog than a 155 00:09:01,200 --> 00:09:04,000 Speaker 1: bunch of activist judges just pushing a bunch of illegals 156 00:09:04,040 --> 00:09:06,760 Speaker 1: through and saying, hey, you can live amongst us. Now, 157 00:09:06,880 --> 00:09:13,080 Speaker 1: that's good. Clearly that is not interestingly enough. I'm sure 158 00:09:13,120 --> 00:09:14,840 Speaker 1: a lot of you know this, but the Big Beautiful 159 00:09:14,840 --> 00:09:20,280 Speaker 1: Build created eight hundred new federal immigration judiciary jobs, but 160 00:09:20,480 --> 00:09:25,400 Speaker 1: currently only eleven permanent judges have been installed, so that 161 00:09:25,640 --> 00:09:29,040 Speaker 1: obviously is a problem. I've been wondering why hasn't Congress 162 00:09:29,120 --> 00:09:32,920 Speaker 1: just instituted temporary judges to kind of fill the gaps 163 00:09:32,960 --> 00:09:36,599 Speaker 1: to get the backlog through, Because I mean, there's a 164 00:09:36,600 --> 00:09:38,359 Speaker 1: lot of layers to this, but when the Biden administration 165 00:09:38,480 --> 00:09:42,000 Speaker 1: creates this massive problem, the problem does have to get fixed, right, 166 00:09:42,040 --> 00:09:44,400 Speaker 1: and the problem can't get fixed by snapping your fingers. 167 00:09:44,400 --> 00:09:46,120 Speaker 1: You do have to go through the legal process, and 168 00:09:46,160 --> 00:09:48,839 Speaker 1: President Trump is trying to do that with the Big 169 00:09:48,880 --> 00:09:51,640 Speaker 1: Beautiful Bill adding eight hundred new federal judges. But obviously 170 00:09:52,040 --> 00:09:54,000 Speaker 1: that's kind of hard to fill, especially if the judges 171 00:09:54,040 --> 00:09:56,480 Speaker 1: have to go through confirmation and all that sort of stuff. Remember, 172 00:09:56,520 --> 00:10:00,200 Speaker 1: the Department of War also announced plans in September to 173 00:10:00,280 --> 00:10:04,280 Speaker 1: send six hundred military lawyers to serve as temporary immigration judges. 174 00:10:04,840 --> 00:10:07,440 Speaker 1: But the problem with that again lives holding things up. 175 00:10:07,679 --> 00:10:09,760 Speaker 1: Only about twenty five military lawyers have been able to 176 00:10:09,800 --> 00:10:14,360 Speaker 1: completely required training in order to begin hearing cases thus far. 177 00:10:14,640 --> 00:10:17,760 Speaker 1: What I say is this, I will volunteer as judge. 178 00:10:17,880 --> 00:10:20,040 Speaker 1: I don't know what the criteria is, but there's no 179 00:10:20,200 --> 00:10:24,679 Speaker 1: way that it's that difficult to do. Obviously, you know, 180 00:10:24,920 --> 00:10:27,880 Speaker 1: you gotta have some intricacies in the actual law, but 181 00:10:27,920 --> 00:10:29,800 Speaker 1: when it comes to asylum cases, I feel like it's 182 00:10:29,880 --> 00:10:33,560 Speaker 1: pretty easy. Hey, I filed for asylum. I didn't like 183 00:10:33,640 --> 00:10:37,600 Speaker 1: it in Mexico. Okay, we just saw a video yesterday 184 00:10:37,600 --> 00:10:40,240 Speaker 1: of a girl living her best life. She's self deported 185 00:10:40,480 --> 00:10:43,520 Speaker 1: to Mexico and seems to be doing great, which good 186 00:10:43,679 --> 00:10:48,880 Speaker 1: for her, denied. That's what I'm getting at. I I 187 00:10:48,960 --> 00:10:51,160 Speaker 1: will serve as judge. Will you serve as a judge? 188 00:10:51,240 --> 00:10:53,880 Speaker 1: TBTTPSA dot com? Again, I don't entirely know that all 189 00:10:53,880 --> 00:10:57,800 Speaker 1: of us have the criteria to wield that sort of authority, 190 00:10:58,480 --> 00:11:01,120 Speaker 1: but also again, doesn't really feel like that difficult of 191 00:11:01,120 --> 00:11:03,120 Speaker 1: a process. Oh you came into the country illegally. Oh 192 00:11:03,120 --> 00:11:08,480 Speaker 1: you overstayed a visa. Now by audios see you. Oh 193 00:11:08,520 --> 00:11:11,680 Speaker 1: you benefited from the Biden administration rolling back the remain 194 00:11:11,679 --> 00:11:14,400 Speaker 1: in Mexico policy. Okay, bye. See if audios don't need 195 00:11:14,440 --> 00:11:17,679 Speaker 1: to hear much more, can't be super difficult, because what 196 00:11:17,720 --> 00:11:19,480 Speaker 1: we need in this country is a bunch of judges 197 00:11:19,679 --> 00:11:23,160 Speaker 1: who won't let people like this come in. This, unfortunately, 198 00:11:23,200 --> 00:11:27,319 Speaker 1: seems like a story that we see almost weekly, maybe 199 00:11:27,360 --> 00:11:31,240 Speaker 1: not quite weekly, but way too often. A truck driver 200 00:11:31,480 --> 00:11:35,880 Speaker 1: was charged with killing newlyweds and a horrid crash. Turns 201 00:11:35,920 --> 00:11:38,760 Speaker 1: out he's also an illegal and guess where he got 202 00:11:38,760 --> 00:11:44,360 Speaker 1: his driver's license from Governor Newsom's California. This comes as 203 00:11:44,360 --> 00:11:47,320 Speaker 1: a shock to absolutely no one. A truck driver in 204 00:11:47,360 --> 00:11:50,600 Speaker 1: Oregon was arrested after jackknifing his semi truck and colliding 205 00:11:50,600 --> 00:11:53,080 Speaker 1: with the vehicle on November twenty fourth. The crash killed 206 00:11:53,600 --> 00:11:58,120 Speaker 1: newlyweds William Carter and his wife, Jennifer, which is a 207 00:11:58,240 --> 00:12:02,400 Speaker 1: terrible and horrible and awful story and unfortunately, it seems 208 00:12:02,400 --> 00:12:07,520 Speaker 1: like we are seeing this consistently, having illegals in the 209 00:12:07,520 --> 00:12:13,199 Speaker 1: country somehow obtaining commercial truck driver's licenses and killing Americans. 210 00:12:14,720 --> 00:12:18,080 Speaker 1: Why this there isn't like national outrage over this. I 211 00:12:18,240 --> 00:12:22,079 Speaker 1: have no idea. The driver's thirty two year old Indian 212 00:12:22,160 --> 00:12:27,600 Speaker 1: national first name unpronounceable Kumar, who was in the US illegally. Wow, 213 00:12:28,720 --> 00:12:31,320 Speaker 1: where have I heard that before? And again I've said 214 00:12:31,320 --> 00:12:34,240 Speaker 1: this before. It's hard to make light of this. But also, 215 00:12:34,679 --> 00:12:36,880 Speaker 1: like humor is the way that you kind of exposed, 216 00:12:37,040 --> 00:12:40,600 Speaker 1: Like sarcastic, satirical commentary is how you expose this sort 217 00:12:40,640 --> 00:12:43,319 Speaker 1: of stuff. And it's very difficult to do because this 218 00:12:43,400 --> 00:12:45,080 Speaker 1: are tragic situations. I don't want to say you're a 219 00:12:45,160 --> 00:12:49,120 Speaker 1: joke about a tragic scenario. And at the same time, well, 220 00:12:49,120 --> 00:12:53,600 Speaker 1: who could have seen this coming besides freaking literally everyone. 221 00:12:54,040 --> 00:12:57,160 Speaker 1: Kumar was released into the country by the Biden administration, 222 00:12:57,800 --> 00:13:01,520 Speaker 1: and California issued him a marcial driver's license in twenty 223 00:13:01,559 --> 00:13:05,720 Speaker 1: twenty three. Remember that Safe and Responsible Drivers Act, whatever 224 00:13:05,720 --> 00:13:09,160 Speaker 1: the build was called, that specifically said, hey, illegals can 225 00:13:09,200 --> 00:13:12,000 Speaker 1: get driver's licensees in California, which is a problem in 226 00:13:12,040 --> 00:13:15,200 Speaker 1: and of itself, but it also stipulated specifically, no, we 227 00:13:15,280 --> 00:13:18,480 Speaker 1: can't give them CDLs. That's a part of the law 228 00:13:18,600 --> 00:13:21,920 Speaker 1: passed by the deep blue state of California said illegals 229 00:13:21,960 --> 00:13:24,280 Speaker 1: can get driver's licenses, which I disagree with, but that's 230 00:13:24,679 --> 00:13:28,160 Speaker 1: just what the California Insane Asylum that pretends to be 231 00:13:28,160 --> 00:13:32,720 Speaker 1: a legislature passed. But even they said specifically, no, you 232 00:13:32,800 --> 00:13:35,240 Speaker 1: can't have a CDL. That's insane. You can't do that. 233 00:13:35,280 --> 00:13:39,280 Speaker 1: And yet here we are yet another illegal getting a 234 00:13:39,360 --> 00:13:42,440 Speaker 1: commercials driver's license in the state of California. He was 235 00:13:42,440 --> 00:13:45,720 Speaker 1: also given a work authorization in twenty twenty three under 236 00:13:45,760 --> 00:13:51,839 Speaker 1: the Biden administration. Okay, anybody starts seeing a pattern going 237 00:13:51,920 --> 00:13:55,280 Speaker 1: on here with illegal immigrants telling people and truck drivers. 238 00:13:56,440 --> 00:13:59,400 Speaker 1: In August, an illegal immigrant I was arrested in Florida 239 00:14:00,120 --> 00:14:02,440 Speaker 1: that killed three people. I'm sure we're all familiar with that. 240 00:14:02,480 --> 00:14:08,360 Speaker 1: We remember that. In the same month, an illegal immigrant, 241 00:14:08,679 --> 00:14:11,679 Speaker 1: also from India allegedly caused a multiple car pile up 242 00:14:11,679 --> 00:14:13,800 Speaker 1: in California that left a five year old with life 243 00:14:13,840 --> 00:14:19,040 Speaker 1: altering injuries. In October, another illegal was arrested over a 244 00:14:19,120 --> 00:14:21,800 Speaker 1: drunken car crash in California that killed three people. That 245 00:14:21,920 --> 00:14:25,480 Speaker 1: was actually the one relatively close to where we're doing 246 00:14:25,480 --> 00:14:29,240 Speaker 1: this show from, which doesn't make it any worse in 247 00:14:29,280 --> 00:14:31,120 Speaker 1: the grand scheme of things, but to me, it's like, 248 00:14:31,280 --> 00:14:33,400 Speaker 1: holy cow, I've driven on that freeway. My wife and 249 00:14:33,480 --> 00:14:36,160 Speaker 1: kids drive on that freeway. The fact that tapping this 250 00:14:36,240 --> 00:14:44,880 Speaker 1: close is concerning to say the least. Let's see, oh 251 00:14:45,040 --> 00:14:49,600 Speaker 1: dhs Kumar is just described as just the latest illegal 252 00:14:49,640 --> 00:14:52,320 Speaker 1: to be nabbed for a fatal wreck after being cut 253 00:14:52,360 --> 00:14:56,160 Speaker 1: loose by the Biden administration. So with that again, I 254 00:14:56,200 --> 00:14:58,040 Speaker 1: don't know if I have the qualifications. I don't know 255 00:14:58,040 --> 00:14:59,480 Speaker 1: if I have the schooling, I don't know if I 256 00:14:59,520 --> 00:15:04,240 Speaker 1: have the legal ability, so to speak. But also I 257 00:15:04,240 --> 00:15:06,040 Speaker 1: think being able to deport all of these people is 258 00:15:06,040 --> 00:15:09,320 Speaker 1: not that difficult of a decision to make and maybe, 259 00:15:09,600 --> 00:15:12,320 Speaker 1: just maybe might make the American people themselves a little 260 00:15:12,320 --> 00:15:15,440 Speaker 1: bit safer. So while we hope that the President can 261 00:15:15,480 --> 00:15:18,400 Speaker 1: figure out a way to get more immigration judges who 262 00:15:18,480 --> 00:15:21,360 Speaker 1: are who look at the country the way that we 263 00:15:21,400 --> 00:15:25,120 Speaker 1: look at the country, until that happens, until the Libs 264 00:15:25,480 --> 00:15:28,760 Speaker 1: let the President do his job, which is, you know, 265 00:15:28,880 --> 00:15:31,880 Speaker 1: by the way, if Congress wants to change laws, change 266 00:15:31,880 --> 00:15:34,160 Speaker 1: the laws. At this point, the Libs don't have enough 267 00:15:34,160 --> 00:15:36,320 Speaker 1: people in Congress to actually change under the laws. So 268 00:15:36,400 --> 00:15:38,600 Speaker 1: the law is what the law is. So if Libs 269 00:15:38,680 --> 00:15:42,720 Speaker 1: keeps slow rolling it and not allowing the President to 270 00:15:42,880 --> 00:15:46,080 Speaker 1: do his job, which is protect and defend the American people, 271 00:15:46,800 --> 00:15:49,080 Speaker 1: I guess we're just gonna keep seeing these again. I 272 00:15:49,080 --> 00:15:53,360 Speaker 1: hate to make light of it, but also it's difficult 273 00:15:53,360 --> 00:15:56,640 Speaker 1: to not have seen this coming come out. Next, we're 274 00:15:56,640 --> 00:15:59,560 Speaker 1: gonna talk about a big time gift who you may 275 00:15:59,560 --> 00:16:02,200 Speaker 1: have heard of, the already going to benefit kids a 276 00:16:02,480 --> 00:16:06,040 Speaker 1: ton and the Libs are mad about it. Because of 277 00:16:06,040 --> 00:16:07,680 Speaker 1: course the Libs are mad about it has something to 278 00:16:07,680 --> 00:16:10,440 Speaker 1: do with Trump, therefore it has to be bad. Tbttbusa 279 00:16:10,520 --> 00:16:13,120 Speaker 1: dot com is the email address. Are any of these 280 00:16:13,840 --> 00:16:17,840 Speaker 1: illegals driving not necessarily even CDLs, but cars in general 281 00:16:18,160 --> 00:16:20,240 Speaker 1: killing people where you are? Are there a bunch of 282 00:16:20,280 --> 00:16:22,000 Speaker 1: stories that we should add to the list here to 283 00:16:22,200 --> 00:16:24,600 Speaker 1: kind of keep a running tab of how many illegals 284 00:16:24,680 --> 00:16:27,240 Speaker 1: driving cars are killing Americans. If you have any of those, 285 00:16:27,320 --> 00:16:29,960 Speaker 1: let us know. Tbttbusa dot com. Also go subscribe to 286 00:16:29,960 --> 00:16:32,040 Speaker 1: our YouTube channel. We will be right back after the break. 287 00:16:32,360 --> 00:16:42,160 Speaker 2: Don't go away as a gay man with a lot 288 00:16:42,160 --> 00:16:46,320 Speaker 2: of girlfriends. The two most common complaints I hear from 289 00:16:46,320 --> 00:16:51,400 Speaker 2: my single friends is one that apps have ruined dating 290 00:16:51,480 --> 00:16:53,800 Speaker 2: because guys never go up to girls anymore to ask 291 00:16:53,840 --> 00:16:56,600 Speaker 2: them out, which I think is cool if guys have 292 00:16:56,640 --> 00:16:58,200 Speaker 2: the confidence to go up to them. 293 00:16:58,320 --> 00:16:59,920 Speaker 1: And the number. 294 00:16:59,680 --> 00:17:02,640 Speaker 2: Two thing that they complain about is that it's creepy 295 00:17:02,680 --> 00:17:05,480 Speaker 2: when guys go up to them because they're just trying 296 00:17:05,520 --> 00:17:06,040 Speaker 2: to have. 297 00:17:05,920 --> 00:17:08,240 Speaker 1: A fun night with their girlfriends out at the bar. 298 00:17:08,680 --> 00:17:12,000 Speaker 2: So do with that information what you will and good 299 00:17:12,040 --> 00:17:13,160 Speaker 2: luck in the dating world. 300 00:17:14,080 --> 00:17:18,320 Speaker 1: That is concerning, to say the least. I hate that 301 00:17:18,640 --> 00:17:22,440 Speaker 1: that's also probably true. I feel like, anecdotally, I've felt 302 00:17:22,520 --> 00:17:26,240 Speaker 1: that I've been with my wife and married for way 303 00:17:26,240 --> 00:17:29,720 Speaker 1: too long to even have a remote idea of what's 304 00:17:29,760 --> 00:17:31,359 Speaker 1: going on in the dating pool. But my wife and 305 00:17:31,359 --> 00:17:33,679 Speaker 1: I often talk about we met in college, and we 306 00:17:33,760 --> 00:17:36,520 Speaker 1: kind of wonder where do people meet nowadays, Like, I, 307 00:17:36,640 --> 00:17:39,840 Speaker 1: honest to god, don't know. I don't know, and that's 308 00:17:39,880 --> 00:17:42,080 Speaker 1: a bad thing. I am a big proponent of people 309 00:17:42,080 --> 00:17:45,280 Speaker 1: getting married, having kids, starting a family, contributing to society. 310 00:17:45,280 --> 00:17:47,960 Speaker 1: That's all a good thing, and I don't know how 311 00:17:47,960 --> 00:17:51,400 Speaker 1: you do it nowadays. That is a huge problem that 312 00:17:51,600 --> 00:17:56,840 Speaker 1: I am concerned about for the future. But I guess 313 00:17:56,880 --> 00:17:58,600 Speaker 1: it is what it is that is the modern dating 314 00:17:59,040 --> 00:18:03,960 Speaker 1: world and modern dating. Speaking of the future, Uh, trump accounts. 315 00:18:03,960 --> 00:18:08,600 Speaker 1: Trump accounts good idea and interestingly enough, do one of 316 00:18:08,640 --> 00:18:12,439 Speaker 1: the things or at least attempt to do part of 317 00:18:12,480 --> 00:18:14,920 Speaker 1: the things that libs have been talking about they want 318 00:18:14,960 --> 00:18:17,440 Speaker 1: to do for the longest time. But considering that it's 319 00:18:17,480 --> 00:18:20,520 Speaker 1: a Trump account, now it's bad. Orange Man bad. We 320 00:18:20,600 --> 00:18:23,919 Speaker 1: can't have Trump doing good things that we approve of 321 00:18:24,000 --> 00:18:27,879 Speaker 1: because that would be bad, because Orange Man bad. I 322 00:18:27,920 --> 00:18:32,680 Speaker 1: have no other reason. I'm a lip. But Michael Dell, 323 00:18:32,840 --> 00:18:35,000 Speaker 1: you may have heard about this already today, is making 324 00:18:35,080 --> 00:18:39,280 Speaker 1: a historic gift and what's being called one of the 325 00:18:39,400 --> 00:18:45,800 Speaker 1: largest private community private commitments to US children. Billionaires Michael 326 00:18:45,800 --> 00:18:51,639 Speaker 1: and Susan Dell pledged six point two five billion dollars 327 00:18:51,920 --> 00:18:55,680 Speaker 1: on Tuesday to helping kids in the United States of America. 328 00:18:56,520 --> 00:19:01,000 Speaker 1: Objectively a good thing. Thank you to the Dell family. Also, 329 00:19:01,040 --> 00:19:04,080 Speaker 1: by the way, it is it's it. I love the 330 00:19:04,160 --> 00:19:08,760 Speaker 1: fact that even the lib outlets have said that they 331 00:19:08,760 --> 00:19:11,080 Speaker 1: are doing this as a family. The two of them. Uh, 332 00:19:11,119 --> 00:19:13,919 Speaker 1: they got married. Michael and Susan Della believe in eighty 333 00:19:13,960 --> 00:19:18,520 Speaker 1: eighty seven or eighty nine billionaire still married, has a bunch, 334 00:19:18,600 --> 00:19:20,919 Speaker 1: has a bunch of kids, which which is freaking fantastic. 335 00:19:21,000 --> 00:19:24,400 Speaker 1: I like seeing people at the upper ends of society, 336 00:19:24,920 --> 00:19:28,960 Speaker 1: billionaires have one wife, be married to or and have 337 00:19:29,080 --> 00:19:34,120 Speaker 1: kids and do the whole American dream thing. I think 338 00:19:34,119 --> 00:19:36,919 Speaker 1: that's fantastic. And it's also accurate to point out that 339 00:19:36,920 --> 00:19:40,120 Speaker 1: that is they are a cohesive unit. It's not Michael Dell, 340 00:19:40,200 --> 00:19:45,280 Speaker 1: It's Michael and Susan Dell. They are one. That's how 341 00:19:45,359 --> 00:19:49,560 Speaker 1: she work. But just put that in perspective. A few 342 00:19:49,720 --> 00:19:52,320 Speaker 1: single charitable commitments in the past twenty five years have 343 00:19:52,400 --> 00:19:55,879 Speaker 1: exceeded one billion dollars, and this is more than six 344 00:19:56,359 --> 00:20:02,159 Speaker 1: times that six point twenty five billion dollars. These are 345 00:20:02,200 --> 00:20:05,400 Speaker 1: investments accounts. Okay, so these are going into Trump accounts, 346 00:20:05,400 --> 00:20:07,480 Speaker 1: which are investment accounts created as a part of President 347 00:20:07,520 --> 00:20:10,520 Speaker 1: Trump's tax and spending legislation that became law in July. 348 00:20:11,119 --> 00:20:14,200 Speaker 1: They are four children born between January first, twenty twenty 349 00:20:14,240 --> 00:20:17,440 Speaker 1: five and December thirty first, twenty twenty eight. The Treasury 350 00:20:17,480 --> 00:20:21,200 Speaker 1: will deposit a one thousand dollars into these accounts, which 351 00:20:21,400 --> 00:20:24,439 Speaker 1: again it is fantastic in any American child under eighteen with 352 00:20:24,480 --> 00:20:28,199 Speaker 1: the Social Security number qualifies, and families can add to 353 00:20:28,280 --> 00:20:30,760 Speaker 1: these accounts which must be invested in the stock market 354 00:20:30,840 --> 00:20:33,560 Speaker 1: and the index fund. One of the big things that 355 00:20:33,640 --> 00:20:36,960 Speaker 1: libs say is that the means of production, you have 356 00:20:37,000 --> 00:20:40,960 Speaker 1: to seize the means of production. Okay, well, what was 357 00:20:41,000 --> 00:20:43,520 Speaker 1: it like, sixty two percent of the American people are 358 00:20:43,520 --> 00:20:46,159 Speaker 1: invested in the stock market. With this, it's going to 359 00:20:46,400 --> 00:20:49,520 Speaker 1: increase the percentage of Americans that are invested in the 360 00:20:49,560 --> 00:20:52,240 Speaker 1: stock market. If you're invested in the stock market, you 361 00:20:52,280 --> 00:20:55,399 Speaker 1: therefore own stakes in the companies that operate in the 362 00:20:55,440 --> 00:20:57,560 Speaker 1: United States, and if you own a stake in that company, 363 00:20:58,920 --> 00:21:05,200 Speaker 1: you in part own the means of productions. That lives 364 00:21:05,200 --> 00:21:07,919 Speaker 1: make this big argument, oh we have to most people 365 00:21:07,960 --> 00:21:11,760 Speaker 1: don't know. Most people actually do own the means of 366 00:21:11,800 --> 00:21:15,520 Speaker 1: production by way of the stock market, and with Trump 367 00:21:15,560 --> 00:21:20,119 Speaker 1: accounts necessitating that money be invested in the stock market. 368 00:21:20,280 --> 00:21:24,080 Speaker 1: When America wins, the children of America win. But of 369 00:21:24,119 --> 00:21:26,160 Speaker 1: course lives are mad about that because it's a Trump 370 00:21:26,160 --> 00:21:29,360 Speaker 1: account and origine Van bad Trump bad, so this must 371 00:21:29,400 --> 00:21:32,840 Speaker 1: be bad. Also, the Dells will add up to twenty 372 00:21:32,960 --> 00:21:35,480 Speaker 1: or two hundred and fifty dollars to accounts of twenty 373 00:21:35,520 --> 00:21:39,440 Speaker 1: five million children who are ten years and younger. It'll 374 00:21:39,520 --> 00:21:42,040 Speaker 1: chart target children in zip codes where the median household 375 00:21:42,040 --> 00:21:44,280 Speaker 1: income is one hundred and fifty thousand dollars or less, 376 00:21:46,040 --> 00:21:50,400 Speaker 1: or anybody who won't get that thousand dollars seed money 377 00:21:50,440 --> 00:21:54,880 Speaker 1: from the Treasury Department. The accounts won't launch until July fourth, 378 00:21:54,880 --> 00:21:57,960 Speaker 1: twenty twenty six, deliberately chosen to mark the two hundred 379 00:21:58,000 --> 00:22:02,760 Speaker 1: and fiftieth anniversary of dependence. You want to talk about 380 00:22:03,040 --> 00:22:07,960 Speaker 1: the wealth gap or the inequality gap, this is something 381 00:22:07,960 --> 00:22:10,800 Speaker 1: that will help solve that sort of thing. Again, American 382 00:22:10,880 --> 00:22:14,720 Speaker 1: children being invested in the performance of the United States 383 00:22:14,760 --> 00:22:18,199 Speaker 1: of America is objectively a good thing. And yet the 384 00:22:18,320 --> 00:22:23,480 Speaker 1: AP which is where I pulled this article from, still 385 00:22:23,560 --> 00:22:27,600 Speaker 1: can't help themselves. But say, well, these accounts won't immediately 386 00:22:27,640 --> 00:22:32,399 Speaker 1: reduce child childhood poverty. Okay, so then it sucks. Then 387 00:22:32,400 --> 00:22:34,120 Speaker 1: he shouldn't do it. Go ahead, and Michael Dell keep 388 00:22:34,160 --> 00:22:37,359 Speaker 1: your six point two billion dollars. Don't deposit two hundred 389 00:22:37,359 --> 00:22:40,879 Speaker 1: and fifty dollars into twenty five million kids account just 390 00:22:40,960 --> 00:22:44,600 Speaker 1: for don't even don't even try because, as the AP said, 391 00:22:44,600 --> 00:22:49,840 Speaker 1: well it won't immediately reduce child poverty, all right. You 392 00:22:49,840 --> 00:22:53,520 Speaker 1: can never win with these people. They also mentioned that 393 00:22:53,880 --> 00:22:56,480 Speaker 1: it was a it's in the same spending package the 394 00:22:56,480 --> 00:23:00,480 Speaker 1: Trump accounts were created that also include cuts to me Dedicaid, 395 00:23:00,520 --> 00:23:04,200 Speaker 1: food stamps, and childcare, which are all objectively good things, 396 00:23:04,280 --> 00:23:06,359 Speaker 1: because you don't want people to be dependent on this. 397 00:23:06,680 --> 00:23:10,080 Speaker 1: You're more than what Trump is trying to do. Here 398 00:23:10,160 --> 00:23:12,280 Speaker 1: is fascinating when it comes to the liberal mindset, what 399 00:23:12,359 --> 00:23:15,240 Speaker 1: people want to consistently talk about, well, we need to 400 00:23:15,240 --> 00:23:17,719 Speaker 1: give people a leg up. Okay, Well this is that. 401 00:23:17,880 --> 00:23:20,360 Speaker 1: This is the American people, the kids of the United 402 00:23:20,400 --> 00:23:26,040 Speaker 1: States of America, getting the benefit of being invested in 403 00:23:26,119 --> 00:23:28,920 Speaker 1: the stock market. And again they hate it because it's 404 00:23:29,400 --> 00:23:32,800 Speaker 1: this stupid lib mindset where you just got to hate 405 00:23:32,840 --> 00:23:36,240 Speaker 1: everything that Trump does. There's a bunch of headlines that 406 00:23:36,240 --> 00:23:37,639 Speaker 1: I want to get to that I think are interesting. 407 00:23:37,680 --> 00:23:40,480 Speaker 1: We'll get to that next segment, as well as our 408 00:23:40,520 --> 00:23:42,520 Speaker 1: mail bag tpt A TPUSA dot com if you'd like 409 00:23:42,560 --> 00:23:45,480 Speaker 1: to send aslong your thoughts, comments, concerns, even criticisms. It's 410 00:23:45,560 --> 00:23:49,320 Speaker 1: okay to be wrong in the TBT TPUSA dot com inbox. Also, 411 00:23:49,320 --> 00:23:52,600 Speaker 1: go subscribe to our YouTube channel, Rumble, Facebook, x, Instagram, 412 00:23:52,640 --> 00:23:54,359 Speaker 1: all of the social media accounts. You get an extra 413 00:23:54,400 --> 00:23:57,920 Speaker 1: segment of the show each and every day. Today, interestingly enough, 414 00:23:57,920 --> 00:24:00,159 Speaker 1: I'm going to talk about a thing that is going 415 00:24:00,160 --> 00:24:03,359 Speaker 1: on at my local library that I it sounds good, 416 00:24:03,840 --> 00:24:06,600 Speaker 1: but also well, that's a pretty dang low bar. You 417 00:24:06,680 --> 00:24:08,280 Speaker 1: only get that if you subscribe to our Turning Point 418 00:24:08,320 --> 00:24:11,040 Speaker 1: in my YouTube channel, tpt at TPUs dot com is 419 00:24:11,040 --> 00:24:12,800 Speaker 1: the email dress. We'll be right back after the break. 420 00:24:12,800 --> 00:24:30,520 Speaker 3: Don't go away. 421 00:24:31,920 --> 00:24:35,000 Speaker 6: Why is there diet culture on the parking meters? Why 422 00:24:35,040 --> 00:24:37,480 Speaker 6: do we have on the parking meters? Sometimes I diet, 423 00:24:37,520 --> 00:24:40,080 Speaker 6: don't feed me on the following holidays? Why are we 424 00:24:40,320 --> 00:24:44,680 Speaker 6: promoting fat phobia and diet culture even on the parking 425 00:24:44,760 --> 00:24:48,600 Speaker 6: meters in LA I just it gets to a point. 426 00:24:48,760 --> 00:24:50,760 Speaker 6: Everything else gets to a point. This is an issue, 427 00:24:50,800 --> 00:24:52,760 Speaker 6: and this needs to be fixed. What's Hollywood? This is 428 00:24:52,760 --> 00:24:53,679 Speaker 6: actually disgusting. 429 00:24:54,760 --> 00:24:56,639 Speaker 1: Yes, that's the problem. That's what they're trying to do 430 00:24:56,680 --> 00:24:59,520 Speaker 1: on the parking meters in Los Angeles. They're trying to 431 00:24:59,560 --> 00:25:03,040 Speaker 1: promote diet culture. Now, at the very least, it's a 432 00:25:03,040 --> 00:25:05,160 Speaker 1: clear sign. If you've ever tried to park a car 433 00:25:05,200 --> 00:25:09,199 Speaker 1: in Los Angeles. There are seven different signs that you 434 00:25:09,280 --> 00:25:11,720 Speaker 1: have to read. Several of them are in conflict with 435 00:25:11,760 --> 00:25:13,679 Speaker 1: one another, and you have no idea whether you can 436 00:25:13,720 --> 00:25:15,679 Speaker 1: park there or for how long, or if your car 437 00:25:15,760 --> 00:25:19,000 Speaker 1: is going to get ticketed or towed. I I can 438 00:25:19,000 --> 00:25:21,600 Speaker 1: go on a rant about parking tickets in freaking LA. 439 00:25:22,160 --> 00:25:25,240 Speaker 1: But no, young lady, I think I don't want to 440 00:25:25,240 --> 00:25:28,760 Speaker 1: assume her gender. It's not promoting diet culture. She's giving 441 00:25:28,800 --> 00:25:30,639 Speaker 1: a clear sign. And by the way, what's wrong with 442 00:25:30,680 --> 00:25:35,040 Speaker 1: diet culture? You know what? Actually, I think this lady 443 00:25:35,119 --> 00:25:41,520 Speaker 1: and her size are fit phobic. She is scared of 444 00:25:41,560 --> 00:25:44,560 Speaker 1: being fit and in shape and healthy. That actually is 445 00:25:44,560 --> 00:25:49,000 Speaker 1: the worst. That is the most egregious transgression here, being 446 00:25:49,160 --> 00:25:53,040 Speaker 1: fit phobic. Bunch of headlines I want to run through 447 00:25:53,080 --> 00:25:54,679 Speaker 1: before we got to take a break and get to 448 00:25:54,720 --> 00:25:57,560 Speaker 1: our mail bag segment TBT ATPSA dot com. If you 449 00:25:57,600 --> 00:25:58,840 Speaker 1: want to be included in the mail bag, and the 450 00:25:58,880 --> 00:26:04,520 Speaker 1: more disgusting, horrible, vile, bigoted your email, the more likelihood 451 00:26:04,560 --> 00:26:06,760 Speaker 1: you actually have a chance of getting read TPT ATBOSA 452 00:26:06,840 --> 00:26:09,359 Speaker 1: dot com. A couple of headlines Corey Booker over the 453 00:26:09,359 --> 00:26:14,119 Speaker 1: weekend gotten married, which is to me, says Corey Booker 454 00:26:14,119 --> 00:26:19,000 Speaker 1: is apparently not gay. Jury's still out on that. I 455 00:26:19,040 --> 00:26:23,760 Speaker 1: think he's fifty six, his wife is thirty eight. He 456 00:26:23,800 --> 00:26:25,919 Speaker 1: had a well who is the actress that he had 457 00:26:25,960 --> 00:26:29,639 Speaker 1: a romance with Rosario Dawson. I believe had a romance 458 00:26:29,680 --> 00:26:34,199 Speaker 1: with her. Romance I used in air quotes. Probably, but 459 00:26:35,040 --> 00:26:38,200 Speaker 1: supposedly Corey Booker is not gay. He has been married. 460 00:26:39,160 --> 00:26:42,199 Speaker 1: Another headline, President Trump documents signed by the Joe Biden's 461 00:26:42,240 --> 00:26:45,600 Speaker 1: auto pen are hereby terminated. Good that happened a couple 462 00:26:45,560 --> 00:26:49,359 Speaker 1: of days ago, but felt like we probably should get 463 00:26:49,359 --> 00:26:51,920 Speaker 1: it on here. That one's interesting. Any document this is 464 00:26:51,960 --> 00:26:54,639 Speaker 1: a President Trump being any document signed by sleepy Joe 465 00:26:54,680 --> 00:26:57,359 Speaker 1: Biden with the auto pen, which is approximately ninety two 466 00:26:57,400 --> 00:27:00,359 Speaker 1: percent of them. I don't know if that's like legit. 467 00:27:00,400 --> 00:27:02,920 Speaker 1: I don't know if the ninety two percent number is accurate. 468 00:27:02,920 --> 00:27:05,600 Speaker 1: If they went through digging and found this is auto pen, 469 00:27:05,720 --> 00:27:09,040 Speaker 1: this is actual sleepy Joe. Maybe maybe the actual Sleepy 470 00:27:09,119 --> 00:27:13,520 Speaker 1: Joe's hand signatures are shakier. Maybe, I don't know, but 471 00:27:13,560 --> 00:27:16,600 Speaker 1: he says ninety two percent of them are hereby terminated 472 00:27:16,920 --> 00:27:20,000 Speaker 1: and of no further force or effect. The auto pen 473 00:27:20,080 --> 00:27:22,560 Speaker 1: is not allowed to be used if approval is not 474 00:27:22,600 --> 00:27:25,520 Speaker 1: specifically given by the President of the United States. Trump stated, 475 00:27:26,240 --> 00:27:29,440 Speaker 1: that's gonna be an interesting one. See now, I don't 476 00:27:29,440 --> 00:27:33,480 Speaker 1: know to contextualize it a little bit. All of the 477 00:27:33,560 --> 00:27:37,440 Speaker 1: executive orders that Joe Biden instituted when he came into office. Also, 478 00:27:37,560 --> 00:27:39,919 Speaker 1: Trump can also just undo those. I think he's just 479 00:27:39,960 --> 00:27:41,959 Speaker 1: making a big point of like, hey, live remember when 480 00:27:42,000 --> 00:27:43,960 Speaker 1: you elected a brain dead dude who didn't know what 481 00:27:44,000 --> 00:27:45,840 Speaker 1: he was signing and just signed a bunch of stuff 482 00:27:46,000 --> 00:27:47,760 Speaker 1: that was put in front of him. That's a problem. 483 00:27:47,800 --> 00:27:51,359 Speaker 1: Maybe you don't do that again. So there's that protesters 484 00:27:51,359 --> 00:27:54,280 Speaker 1: were arrested. This is mostly I just thought this interesting 485 00:27:54,480 --> 00:27:58,080 Speaker 1: headline here. I believe this is from ABC. Over the weekend, 486 00:27:58,119 --> 00:28:00,399 Speaker 1: there's a bunch of protests, and by that I mean riots, 487 00:28:00,440 --> 00:28:04,080 Speaker 1: people fighting cops in Chinatown in New York City. But 488 00:28:04,119 --> 00:28:08,920 Speaker 1: the headlines as protesters arrested in NYC over possible ice 489 00:28:08,960 --> 00:28:12,720 Speaker 1: related activity in Chinatown? Was it or were they throwing 490 00:28:12,800 --> 00:28:18,840 Speaker 1: fences at the ice officers blocking traffic? In a statement, 491 00:28:20,520 --> 00:28:23,639 Speaker 1: federal agents said they observed multiple people brought blocking the 492 00:28:23,640 --> 00:28:26,160 Speaker 1: street and told multiple times to disperse and they did 493 00:28:26,160 --> 00:28:27,639 Speaker 1: not comply. Oh it sounds like you broke the law. 494 00:28:27,640 --> 00:28:29,720 Speaker 1: That's why you're getting rested, not because you were protesting. 495 00:28:31,440 --> 00:28:33,240 Speaker 1: So there's that. I don't have time to get to 496 00:28:33,240 --> 00:28:35,280 Speaker 1: the Jaden Pinkett Smith thing and the Will Smith thing 497 00:28:35,359 --> 00:28:37,960 Speaker 1: that's also fairly interesting, but maybe we'll talk about that 498 00:28:38,000 --> 00:28:41,360 Speaker 1: a little bit more tomorrow. Email mail bag tbtts dot 499 00:28:41,400 --> 00:28:53,800 Speaker 1: com coming up right after the breakne go away ladies 500 00:28:53,840 --> 00:28:54,440 Speaker 1: and gentlemen. 501 00:28:54,840 --> 00:29:02,280 Speaker 5: I am in proud, transgender, mentally retarded his African American 502 00:29:03,080 --> 00:29:07,480 Speaker 5: Eskimo of color, and I am late to my abortion, 503 00:29:07,920 --> 00:29:10,680 Speaker 5: which thank god Orange Hitler didn't take. 504 00:29:10,480 --> 00:29:13,280 Speaker 1: Away from me, that bigoted piece of shit. So if 505 00:29:13,280 --> 00:29:14,280 Speaker 1: you'd excuse me, I. 506 00:29:14,240 --> 00:29:15,880 Speaker 5: Need all of y'all to get up out my way 507 00:29:16,200 --> 00:29:18,360 Speaker 5: because I gotta go get my abortion, okay. And I 508 00:29:18,400 --> 00:29:19,920 Speaker 5: know you're gonna make your jokes on the internet. 509 00:29:19,960 --> 00:29:21,040 Speaker 1: I see the internet. 510 00:29:20,720 --> 00:29:26,600 Speaker 5: About about transgender Eskimo African American Hispanic fatigue. Ha ha ha, 511 00:29:27,240 --> 00:29:31,280 Speaker 5: very funny, not funny, Okay, I gotta go. 512 00:29:31,280 --> 00:29:37,720 Speaker 1: Keep baby, So excuse me, Thank you, my god. I 513 00:29:37,760 --> 00:29:39,960 Speaker 1: think that's the same guy. Is that the same guy 514 00:29:40,000 --> 00:29:45,440 Speaker 1: that was talking about the transgender lesbian black balloons at 515 00:29:45,480 --> 00:29:48,480 Speaker 1: Thanksgiving Day parade. I think it is that guy's great. 516 00:29:48,920 --> 00:29:52,320 Speaker 1: No further commentary necessary here, that's just all that speaks 517 00:29:52,320 --> 00:29:55,960 Speaker 1: exactly for itself. Oh, let's get some emailst at TPOs 518 00:29:56,080 --> 00:29:57,760 Speaker 1: dot com is the email address you'd like to send 519 00:29:57,760 --> 00:30:00,840 Speaker 1: along your thoughts, comments, concerns, even criticisms. It's okay to 520 00:30:00,880 --> 00:30:05,600 Speaker 1: be wrong on the topic of the tree lighting. Cheryl 521 00:30:05,640 --> 00:30:08,320 Speaker 1: says she lives in Joliet, Illinois. We have a tree 522 00:30:08,400 --> 00:30:13,520 Speaker 1: lighting parade and it's called Light Up the Holidays. She 523 00:30:13,560 --> 00:30:15,480 Speaker 1: also said, you wanted to throw in that somebody in 524 00:30:15,520 --> 00:30:18,280 Speaker 1: her city has the license plate with my name just 525 00:30:18,440 --> 00:30:21,960 Speaker 1: j ob Ob on it, which is fantastic. If you, 526 00:30:22,240 --> 00:30:23,920 Speaker 1: Cheryl for you can get a photo of that. I 527 00:30:23,920 --> 00:30:26,800 Speaker 1: would love to see that. I've never actually seen that. Also, 528 00:30:27,200 --> 00:30:30,040 Speaker 1: I'd like to sue them for copyright infringement. I do 529 00:30:30,160 --> 00:30:32,600 Speaker 1: hold the trademark to j Obob, so if you try 530 00:30:32,600 --> 00:30:34,800 Speaker 1: to use that even on your driver's license, I'm coming 531 00:30:34,840 --> 00:30:38,440 Speaker 1: after you. Legally speaking, Sandra said this, you didn't do 532 00:30:38,480 --> 00:30:40,720 Speaker 1: your research on Christmas trees it's a Christian symbol. I 533 00:30:41,680 --> 00:30:45,160 Speaker 1: think I did, but I appreciate the input. Sandra. Pine 534 00:30:45,200 --> 00:30:47,840 Speaker 1: trees are green bro year round. Just like God's love. 535 00:30:47,880 --> 00:30:50,680 Speaker 1: They light up the bright The brightness reflects God's true 536 00:30:50,720 --> 00:30:53,440 Speaker 1: love in us. We put the star and angel on 537 00:30:53,480 --> 00:30:58,840 Speaker 1: top to show shown that is too. Shouldn't put this 538 00:30:58,880 --> 00:31:00,520 Speaker 1: in there. I'm just a meditorial life a little bit, 539 00:31:00,600 --> 00:31:05,360 Speaker 1: or I'm filling in the gaps to show the King 540 00:31:05,800 --> 00:31:09,200 Speaker 1: in the major is Jesus. Correct goes on a little 541 00:31:09,200 --> 00:31:10,920 Speaker 1: bit more, Santra, thank you for the email. Appreciate that. 542 00:31:11,680 --> 00:31:15,600 Speaker 1: Also on the topic of Christmas trees is Jim says 543 00:31:15,640 --> 00:31:19,000 Speaker 1: this jobub. I live in Georgetown, California. We go to 544 00:31:19,080 --> 00:31:21,800 Speaker 1: the Christmas tree lighting every year in our little town, 545 00:31:21,880 --> 00:31:25,120 Speaker 1: and most of us know it is the season for 546 00:31:25,280 --> 00:31:28,280 Speaker 1: the reason that is Jesus God bless you and merry Christmas. 547 00:31:28,600 --> 00:31:31,600 Speaker 1: Appreciate that, Jim. So it's good to know even in California, 548 00:31:31,600 --> 00:31:34,840 Speaker 1: in the deep blue state of Commifournia, behind enemy lines here, 549 00:31:35,680 --> 00:31:37,960 Speaker 1: there are cities that say it is a Christmas tree 550 00:31:38,000 --> 00:31:41,520 Speaker 1: because it ISTBUSA dot com is the email address if 551 00:31:41,520 --> 00:31:45,920 Speaker 1: you'd like to send along your thoughts, comments, concerns. We 552 00:31:46,080 --> 00:31:49,600 Speaker 1: do have time to get to one video. Little bit 553 00:31:49,640 --> 00:31:51,640 Speaker 1: of fun. This has nothing to do with anything. Apropos 554 00:31:51,920 --> 00:31:54,640 Speaker 1: of nothing and yet still funny and interesting. So we'll 555 00:31:54,640 --> 00:31:55,320 Speaker 1: play it for you here. 556 00:31:55,400 --> 00:31:59,240 Speaker 5: Watch the Jesus said, love thy neighbor, not stone trans 557 00:31:59,360 --> 00:32:02,760 Speaker 5: people to Christians, don't stone trans people. 558 00:32:03,080 --> 00:32:05,280 Speaker 1: That's Muslims. Love your neighbor. 559 00:32:05,320 --> 00:32:09,440 Speaker 5: I mean, share the Gospel with them, not support their sins. 560 00:32:11,240 --> 00:32:17,800 Speaker 1: Accurate. True, I love. So that's part of Internet culture, 561 00:32:17,880 --> 00:32:20,080 Speaker 1: being able to like come up with a fun way 562 00:32:20,160 --> 00:32:22,560 Speaker 1: of kind of mimicking and mocking what it is the 563 00:32:22,640 --> 00:32:23,280 Speaker 1: lives are saying. 564 00:32:23,720 --> 00:32:24,080 Speaker 4: I like that. 565 00:32:24,200 --> 00:32:26,680 Speaker 1: Yeah, No, the people that are stoning trans people are 566 00:32:27,080 --> 00:32:30,960 Speaker 1: the Muslims. As Charlie. One of Charlie's jokes that I 567 00:32:31,000 --> 00:32:32,600 Speaker 1: think the first joke I think I ever heard him 568 00:32:32,640 --> 00:32:35,400 Speaker 1: tell was if your trans in the Middle East, you'll 569 00:32:35,400 --> 00:32:38,600 Speaker 1: get a flying lesson off the nearest roof, which is 570 00:32:38,720 --> 00:32:44,880 Speaker 1: accurate and funny and not trying to besmerge Charlie at all. 571 00:32:45,080 --> 00:32:47,520 Speaker 1: Nobody laughed, and I think that's because people weren't expecting 572 00:32:47,600 --> 00:32:49,240 Speaker 1: a joke like that to come out of him, and 573 00:32:49,400 --> 00:32:51,480 Speaker 1: so it was just fun to watch. And I think 574 00:32:51,520 --> 00:32:52,960 Speaker 1: also that's part of the reason why he brought me 575 00:32:53,040 --> 00:32:55,240 Speaker 1: along on things, kind of loosen up the audience and 576 00:32:55,280 --> 00:32:57,160 Speaker 1: get him ready for the jokes. That he would tell 577 00:32:57,160 --> 00:32:59,719 Speaker 1: because he was very funny, but sometimes people weren't expecting 578 00:32:59,760 --> 00:33:03,360 Speaker 1: that sometimes it went over their heads. So shout out, 579 00:33:03,560 --> 00:33:07,880 Speaker 1: shout out to that hilarious joke from Man, one of 580 00:33:07,880 --> 00:33:10,120 Speaker 1: the best guys I knew. That'll do it for us 581 00:33:10,160 --> 00:33:12,120 Speaker 1: here at Turning Points Tonight TBT ATPUSA dot com is 582 00:33:12,120 --> 00:33:14,400 Speaker 1: the email address if you'd like to send it along. Again, Remember, 583 00:33:14,440 --> 00:33:18,800 Speaker 1: the more bigoted and awful and disgraceful female, the likelier 584 00:33:19,120 --> 00:33:21,200 Speaker 1: chance you have getting it on this show. We will 585 00:33:21,200 --> 00:33:24,240 Speaker 1: see tomorrow, same time, same place. God bless America.