1 00:00:09,039 --> 00:00:12,160 Speaker 1: This is America's Trucking Network with Kevin Gordon. 2 00:00:13,600 --> 00:00:17,239 Speaker 2: Love him aboard, Thanks for tuning in on this Friday morning. 3 00:00:17,760 --> 00:00:19,599 Speaker 3: We need to start off with a weather alert. 4 00:00:19,680 --> 00:00:22,040 Speaker 2: I'm sure you're getting all kinds of weather alerts on 5 00:00:22,079 --> 00:00:24,919 Speaker 2: your phone, on your apps and any of the other 6 00:00:25,160 --> 00:00:27,680 Speaker 2: weather devices you have. I know on my phone is 7 00:00:27,720 --> 00:00:32,519 Speaker 2: getting blown up with severe weather emergency notifications for this weekend. 8 00:00:32,920 --> 00:00:34,840 Speaker 3: So this is from the National. 9 00:00:34,680 --> 00:00:36,680 Speaker 2: Weather Service, and of course we'll have a full report 10 00:00:36,680 --> 00:00:38,400 Speaker 2: at the bottom of the hour, but just to give 11 00:00:38,440 --> 00:00:41,800 Speaker 2: you a heads up what's going on. The headline, major 12 00:00:41,960 --> 00:00:46,160 Speaker 2: winter storm to bring heavy snow and ice impacts, dangerously 13 00:00:46,320 --> 00:00:48,720 Speaker 2: cold in the north central US. 14 00:00:49,320 --> 00:00:50,200 Speaker 3: That's the headline. 15 00:00:50,280 --> 00:00:53,800 Speaker 2: A large, long duration winter storm is expected to bring 16 00:00:53,880 --> 00:00:58,840 Speaker 2: widespread heavy snow, sleet, and freezing rain from the southern 17 00:00:58,960 --> 00:01:04,440 Speaker 2: Rockies Plain into the mid South beginning today, spreading eastward 18 00:01:04,520 --> 00:01:07,440 Speaker 2: to the mid Atlantic and New England this weekend. An 19 00:01:07,520 --> 00:01:11,160 Speaker 2: Arctic front will bring frigid temperatures and gusty winds that 20 00:01:11,200 --> 00:01:14,520 Speaker 2: will lead to dangerous wind hills from the northern Plains 21 00:01:14,680 --> 00:01:18,280 Speaker 2: to the upper Midwest. Now Here in the northern Kentucky area, 22 00:01:18,319 --> 00:01:21,759 Speaker 2: they're talking greater insane Northern Kentucky area. They're talking about 23 00:01:21,800 --> 00:01:23,560 Speaker 2: the fact that we're probably going to get or what 24 00:01:23,600 --> 00:01:26,880 Speaker 2: they're predicting is somewhere around seven to eleven maybe twelve 25 00:01:26,959 --> 00:01:29,960 Speaker 2: inches of snow, and then it's going to be snow Mageddon, 26 00:01:29,959 --> 00:01:31,360 Speaker 2: as we refer to it here. 27 00:01:31,680 --> 00:01:33,720 Speaker 3: But it's always it's weird here. 28 00:01:33,560 --> 00:01:36,560 Speaker 2: In the greater insane Northern Kentucky area, here in the 29 00:01:36,560 --> 00:01:41,640 Speaker 2: Ohio Valley where it seems that all these storms generally 30 00:01:41,680 --> 00:01:45,000 Speaker 2: start approaching us, and then once it starts getting to 31 00:01:45,080 --> 00:01:49,919 Speaker 2: the border, the southern south eastern border of Indiana, it 32 00:01:49,920 --> 00:01:53,000 Speaker 2: seems to separate and it either goes north of US 33 00:01:53,320 --> 00:01:57,040 Speaker 2: or south of US. And so, although you know the 34 00:01:57,080 --> 00:02:00,920 Speaker 2: warnings are there, and you go to the storm and 35 00:02:01,000 --> 00:02:03,360 Speaker 2: people are rushing in there to get their milk and 36 00:02:03,400 --> 00:02:05,760 Speaker 2: their bread and all that sort of stuff, but you know, 37 00:02:05,960 --> 00:02:08,640 Speaker 2: just kind of chill and make sure that you're paying 38 00:02:08,680 --> 00:02:11,680 Speaker 2: attention to the local weather apps of where you are. 39 00:02:12,160 --> 00:02:13,919 Speaker 2: But a kind of a funny story, we had a 40 00:02:14,080 --> 00:02:19,359 Speaker 2: weather guy here a few years ago that every broadcast 41 00:02:19,400 --> 00:02:23,800 Speaker 2: he would be just I mean impeccably dressed, hair groomed 42 00:02:23,840 --> 00:02:26,800 Speaker 2: and everything, and he'd do the weather report and everything. 43 00:02:27,320 --> 00:02:29,760 Speaker 2: But whenever there was one of these snow emergencies that 44 00:02:29,800 --> 00:02:33,400 Speaker 2: would come about, they'd flash into the weather room and 45 00:02:33,480 --> 00:02:36,320 Speaker 2: he'd have his tie loosened, he'd have his shirt sleeves 46 00:02:36,400 --> 00:02:38,960 Speaker 2: rolled up, and like like he'd been sleeping there all 47 00:02:39,040 --> 00:02:41,840 Speaker 2: day long, and he'd like really hyper about, oh, you know, 48 00:02:41,880 --> 00:02:43,400 Speaker 2: we got to do this, and he's doing all the 49 00:02:43,480 --> 00:02:45,360 Speaker 2: drawings on the board and all this sort of stuff. 50 00:02:45,400 --> 00:02:48,160 Speaker 2: And then later on it would be like, Okay, it 51 00:02:48,280 --> 00:02:50,600 Speaker 2: was just kind of a minor storm, but they just 52 00:02:50,960 --> 00:02:53,320 Speaker 2: had to get everybody all excited. But it's always good 53 00:02:53,320 --> 00:02:56,040 Speaker 2: to be a little bit cautious. And even though I 54 00:02:56,160 --> 00:02:57,960 Speaker 2: kind of in the back of my mind here in 55 00:02:58,080 --> 00:03:00,720 Speaker 2: northern Kentucky, not where you are, but here in northern 56 00:03:00,760 --> 00:03:04,200 Speaker 2: Kentucky Greater Cincinnati area, it's kind of like, yeah, okay, 57 00:03:04,880 --> 00:03:07,440 Speaker 2: let's be prepared for it. Let's prepare for the worst, 58 00:03:07,520 --> 00:03:08,840 Speaker 2: but probably not. 59 00:03:08,840 --> 00:03:09,440 Speaker 3: Going to happen. 60 00:03:09,520 --> 00:03:14,639 Speaker 2: But it's amazing we get one inch of snow two 61 00:03:14,680 --> 00:03:17,080 Speaker 2: inches of snow on the ground and people seem to 62 00:03:17,080 --> 00:03:21,600 Speaker 2: go into this panic. But for the most part, we've 63 00:03:21,639 --> 00:03:24,800 Speaker 2: been unscathed. But do make sure you check your weather 64 00:03:24,840 --> 00:03:28,560 Speaker 2: apps and make sure where you are heading that what 65 00:03:28,760 --> 00:03:31,520 Speaker 2: you know what's going to be going on, because they 66 00:03:31,520 --> 00:03:35,080 Speaker 2: are really predicting this to be a really nasty storm. 67 00:03:35,320 --> 00:03:37,920 Speaker 2: And if you see something a little earlier than what 68 00:03:37,960 --> 00:03:40,640 Speaker 2: the weather apps are talking about, let the people behind 69 00:03:40,680 --> 00:03:42,960 Speaker 2: you know, and hopefully if people are in front of 70 00:03:43,040 --> 00:03:45,520 Speaker 2: you see that happening, they'll let you know as well. 71 00:03:45,760 --> 00:03:49,200 Speaker 2: Then job one is get home safe and so be 72 00:03:49,320 --> 00:03:51,960 Speaker 2: careful out there this weekend. It's apparently going to be 73 00:03:52,000 --> 00:03:56,520 Speaker 2: really nasty. A bunch of us slew of economic news 74 00:03:57,040 --> 00:04:02,520 Speaker 2: came about yesterday. And if ever there was a situation 75 00:04:02,800 --> 00:04:05,960 Speaker 2: where and I I know I talk well, I know, 76 00:04:06,040 --> 00:04:08,880 Speaker 2: I talk a lot about economic news because according to 77 00:04:08,880 --> 00:04:12,880 Speaker 2: the American Transportation Research Institute, that is number one on 78 00:04:12,920 --> 00:04:16,520 Speaker 2: your list of the things that you were concerned about. Yeah, 79 00:04:16,960 --> 00:04:20,360 Speaker 2: the parking and the hours of service and some of 80 00:04:20,400 --> 00:04:23,479 Speaker 2: these other things will come about. But as far as 81 00:04:23,520 --> 00:04:26,480 Speaker 2: a day to day transaction, a day to day situation, 82 00:04:26,880 --> 00:04:30,599 Speaker 2: the economy is what's affecting you. If the economy is 83 00:04:30,640 --> 00:04:34,520 Speaker 2: doing poorly, if the spoon fed regurgitators in the mainstream 84 00:04:34,560 --> 00:04:38,440 Speaker 2: media can convince the public that we are in a 85 00:04:38,600 --> 00:04:42,200 Speaker 2: downturn or the economy isn't doing well, they'll pull back 86 00:04:42,240 --> 00:04:44,960 Speaker 2: on their spending. If they pull back on their spending, 87 00:04:45,080 --> 00:04:47,919 Speaker 2: they're not going to be buying as much in the stores. 88 00:04:48,120 --> 00:04:50,440 Speaker 2: The stores are not going to be ordering much, and 89 00:04:50,480 --> 00:04:53,640 Speaker 2: then therefore there won't be many deliveries to the store, 90 00:04:53,760 --> 00:04:56,599 Speaker 2: which will impact the trucking industry. But I want to 91 00:04:56,600 --> 00:04:59,040 Speaker 2: make sure that what I talk about here on this 92 00:04:59,160 --> 00:05:03,400 Speaker 2: program is facts. What we see, what we know, dig 93 00:05:03,440 --> 00:05:06,400 Speaker 2: into the numbers and look at the information and give 94 00:05:06,440 --> 00:05:09,640 Speaker 2: you my best opinion, and I will tell you, and 95 00:05:09,680 --> 00:05:12,320 Speaker 2: I will brag about this till like cows come home. 96 00:05:12,680 --> 00:05:15,839 Speaker 2: I have been right on this program more than the 97 00:05:15,880 --> 00:05:21,039 Speaker 2: so called experts all of last year. Back in Liberation 98 00:05:21,160 --> 00:05:23,720 Speaker 2: Day on April the second, they were talking about the 99 00:05:23,760 --> 00:05:26,680 Speaker 2: sky is gonna fall, We're gonna go into recession, We're 100 00:05:26,680 --> 00:05:30,080 Speaker 2: gonna have high inflation, there's gonna be massive unemployment, and 101 00:05:30,120 --> 00:05:33,040 Speaker 2: so on. And going back to my days in college 102 00:05:33,320 --> 00:05:37,719 Speaker 2: knowing about economics and the fortunate enough to have a 103 00:05:37,800 --> 00:05:42,320 Speaker 2: decent economics professor, let me tell you, taking an economics 104 00:05:42,360 --> 00:05:45,920 Speaker 2: course sometimes can be real torture because there's a lot 105 00:05:45,960 --> 00:05:51,080 Speaker 2: of facts and figures and a lot of formulas and stuff, 106 00:05:51,240 --> 00:05:54,000 Speaker 2: and it can be very boring. But this guy had 107 00:05:54,000 --> 00:05:56,120 Speaker 2: a way of presenting it to the point where it 108 00:05:56,160 --> 00:05:58,960 Speaker 2: made it interesting. And I do remember going back to 109 00:05:59,000 --> 00:06:02,560 Speaker 2: the day talking about terraffs. The terraffs don't necessarily lead 110 00:06:02,600 --> 00:06:05,680 Speaker 2: to inflation. Certain things will go up, a lot of 111 00:06:05,720 --> 00:06:08,800 Speaker 2: things will go down. But the thing, the main driver 112 00:06:09,000 --> 00:06:12,760 Speaker 2: of inflation is out of control government spending. And what 113 00:06:12,839 --> 00:06:15,960 Speaker 2: we saw at the beginning of the Biden administration was 114 00:06:16,080 --> 00:06:20,640 Speaker 2: out of control, unchecked government spending. And in fact, there 115 00:06:20,680 --> 00:06:24,479 Speaker 2: were people economic experts that were warning them to cut 116 00:06:24,560 --> 00:06:26,839 Speaker 2: back on the spending and don't throw all this money 117 00:06:26,839 --> 00:06:29,760 Speaker 2: into the economy. As we were coming out of the pandemic, 118 00:06:30,120 --> 00:06:32,720 Speaker 2: things were kind of heading in the right path at 119 00:06:32,720 --> 00:06:36,159 Speaker 2: the tail end of the Trump administration. As a matter 120 00:06:36,160 --> 00:06:38,800 Speaker 2: of fact, it's not talked about as much or as 121 00:06:38,880 --> 00:06:41,479 Speaker 2: much as it should be, but in the initial days 122 00:06:41,520 --> 00:06:45,080 Speaker 2: of the pandemic back in twenty twenty, with all of 123 00:06:45,120 --> 00:06:48,080 Speaker 2: the places shutting down, a lot of businesses shutting down, 124 00:06:48,160 --> 00:06:51,159 Speaker 2: the factory shutting down, nothing was moving. They had to 125 00:06:51,160 --> 00:06:53,480 Speaker 2: start out sending out the stimulus checks in order to 126 00:06:53,560 --> 00:06:58,080 Speaker 2: keep the economy rolling. We actually went into a recession, 127 00:06:58,160 --> 00:07:03,600 Speaker 2: a literal recession. That recession lasted something like a month 128 00:07:03,640 --> 00:07:04,560 Speaker 2: and two months. 129 00:07:05,120 --> 00:07:06,360 Speaker 3: It had to go down. 130 00:07:06,200 --> 00:07:10,080 Speaker 2: In history as the shortest recession in the history of 131 00:07:10,120 --> 00:07:13,680 Speaker 2: this country. Because things started building back up towards the 132 00:07:13,720 --> 00:07:17,320 Speaker 2: tail end of the Trump administration. We became a first administration, 133 00:07:17,600 --> 00:07:21,360 Speaker 2: we became energy independent for the first time. Wages were up, 134 00:07:21,600 --> 00:07:24,400 Speaker 2: Inflation was down. As matter of fact, the final year 135 00:07:24,440 --> 00:07:27,320 Speaker 2: of the final quarter of inflation for the Trump administration 136 00:07:27,640 --> 00:07:31,400 Speaker 2: was at one point four percent. GDP at that point 137 00:07:31,600 --> 00:07:34,240 Speaker 2: had gone from basically zero in the middle of the 138 00:07:34,320 --> 00:07:36,600 Speaker 2: year up to about I think it was three and 139 00:07:36,600 --> 00:07:38,080 Speaker 2: a half to four percent. 140 00:07:37,880 --> 00:07:38,800 Speaker 3: By the end of the year. 141 00:07:39,280 --> 00:07:42,120 Speaker 2: And then Biden came into office, started sending out the 142 00:07:42,160 --> 00:07:46,520 Speaker 2: stimulus checks. Inflation went up, and of course the FED Chairman, 143 00:07:46,880 --> 00:07:50,720 Speaker 2: Jerome Powell, lion Jerry Powell, kept talking about transitory inflation, 144 00:07:50,960 --> 00:07:52,840 Speaker 2: don't worry about it, it's just going to be temporary. 145 00:07:52,960 --> 00:07:53,880 Speaker 3: It's going to come down. 146 00:07:54,080 --> 00:07:56,200 Speaker 2: Well, then if you look at the chart, it shot 147 00:07:56,280 --> 00:07:58,520 Speaker 2: up like it was a rocket, to the point in 148 00:07:58,800 --> 00:08:01,720 Speaker 2: the June of twenty twenty two, it got up to 149 00:08:02,160 --> 00:08:06,120 Speaker 2: nine point one percent in one month, on top of 150 00:08:06,160 --> 00:08:10,320 Speaker 2: the three percent, two and a half percent, four percent 151 00:08:10,680 --> 00:08:13,760 Speaker 2: the previous couple of months. So this was on top 152 00:08:13,800 --> 00:08:15,840 Speaker 2: of that, and we had out of control inflation at 153 00:08:15,840 --> 00:08:18,560 Speaker 2: that point. And what I was saying back on Liberation Day, 154 00:08:18,720 --> 00:08:21,600 Speaker 2: this isn't going to happen, because what's probably going to 155 00:08:21,680 --> 00:08:25,760 Speaker 2: happen is that again, when we are raising our reciprocal 156 00:08:25,800 --> 00:08:29,360 Speaker 2: tariffs to the countries that are charging us big terraffs, 157 00:08:29,520 --> 00:08:32,040 Speaker 2: they will get the clue and lower their teriffs and 158 00:08:32,080 --> 00:08:34,880 Speaker 2: there'll be some economic balance. There will be fair trade 159 00:08:34,920 --> 00:08:37,920 Speaker 2: as opposed to free trade. Also, the strength of what 160 00:08:37,960 --> 00:08:40,560 Speaker 2: they discounted was the strength of the American public, the 161 00:08:40,640 --> 00:08:44,240 Speaker 2: resiliency of the American public that if something is not 162 00:08:44,520 --> 00:08:47,040 Speaker 2: you know, if we're not getting the imports or something, 163 00:08:47,160 --> 00:08:50,480 Speaker 2: they will buy something else. But the fact is also 164 00:08:50,840 --> 00:08:53,600 Speaker 2: that as these terrors started taking effect and these goods 165 00:08:53,640 --> 00:08:57,120 Speaker 2: were coming in, the people wanted to make sure that 166 00:08:57,160 --> 00:09:00,679 Speaker 2: they kept their market share, that they kept us as customers, 167 00:09:00,800 --> 00:09:03,280 Speaker 2: that we didn't go off and buy stuff from other people. 168 00:09:03,640 --> 00:09:07,040 Speaker 2: They absorbed a whole bunch of that terraces. And a 169 00:09:07,080 --> 00:09:09,719 Speaker 2: couple of weeks ago there was an analysis that was done. 170 00:09:09,760 --> 00:09:12,480 Speaker 2: If you look at the inflation over all of twenty 171 00:09:12,520 --> 00:09:17,600 Speaker 2: twenty five, inflation related to terraffs was less than one 172 00:09:18,080 --> 00:09:21,600 Speaker 2: half of one percent. So any of that two point 173 00:09:21,640 --> 00:09:24,200 Speaker 2: seven percent or two point five percent that we're seeing, 174 00:09:25,360 --> 00:09:29,040 Speaker 2: half a percentage of that is terrafts. The other two 175 00:09:29,080 --> 00:09:33,000 Speaker 2: percent is something else, and we've talked about that. It's wages, 176 00:09:33,240 --> 00:09:35,600 Speaker 2: it's other things. It's people saying that, oh, you know, 177 00:09:35,640 --> 00:09:39,720 Speaker 2: we've got to raise prices because of terrasts or because 178 00:09:39,720 --> 00:09:42,640 Speaker 2: of these shortages, when in fact it's a sneaky way 179 00:09:42,679 --> 00:09:46,679 Speaker 2: that they're doing and putting in these pay these increases 180 00:09:47,200 --> 00:09:50,120 Speaker 2: and couching it as terrafs. Kind of similar to what 181 00:09:50,280 --> 00:09:53,040 Speaker 2: was going on back during the pandemic when they were 182 00:09:53,080 --> 00:09:57,280 Speaker 2: having the supply chain issues. Businesses were not ordering the 183 00:09:57,320 --> 00:09:59,240 Speaker 2: amount of money or the amount of stuff that they 184 00:09:59,240 --> 00:10:02,240 Speaker 2: were supposed to order, and so sometimes they had run 185 00:10:02,280 --> 00:10:05,160 Speaker 2: out on the shelves. All supply chain issues. Supply chaining 186 00:10:05,520 --> 00:10:09,000 Speaker 2: as opposed to them admitting that, well, we didn't buy enough. 187 00:10:09,200 --> 00:10:11,320 Speaker 2: We'll pick this up. I'm Kevin Gordon, America's truck a 188 00:10:11,360 --> 00:10:15,880 Speaker 2: Network seven hundred WLW. I talked about about some of 189 00:10:15,880 --> 00:10:18,640 Speaker 2: the stuff that we're hearing from the spoon feederigurgitators in 190 00:10:18,679 --> 00:10:22,199 Speaker 2: the mainstream media, and they are still up to it. Yesterday, 191 00:10:22,400 --> 00:10:25,080 Speaker 2: initial job as claims and we've been seeing those, you know, 192 00:10:25,480 --> 00:10:28,240 Speaker 2: every Thursday they come out and it gives us a 193 00:10:28,280 --> 00:10:30,920 Speaker 2: gauge in terms of what's going on in the labor market, 194 00:10:30,960 --> 00:10:33,440 Speaker 2: and so on. Again, I do the Google search and 195 00:10:33,480 --> 00:10:36,320 Speaker 2: the stories come up that are available and so on. 196 00:10:36,679 --> 00:10:40,200 Speaker 2: And here's what they were saying yesterday Bloomberg. The pretty 197 00:10:40,200 --> 00:10:44,280 Speaker 2: decent headline from Blueberg. US initial job is claims steadied 198 00:10:44,440 --> 00:10:50,160 Speaker 2: at two hundred thousand last week and a dulo a Johnny, 199 00:10:51,040 --> 00:10:54,520 Speaker 2: I don't know what website that is, but US initial 200 00:10:54,600 --> 00:10:59,080 Speaker 2: job was claims up one thousand last week. Market Watch 201 00:10:59,320 --> 00:11:03,520 Speaker 2: jobless claimed point to a more stable labor market and 202 00:11:03,640 --> 00:11:05,920 Speaker 2: a pretty good a very good, what I would say. 203 00:11:06,400 --> 00:11:11,760 Speaker 2: A headline from fx Street United States initial jobless claims 204 00:11:11,840 --> 00:11:16,240 Speaker 2: came in at two hundred thousand, below forecasts of two 205 00:11:16,360 --> 00:11:19,120 Speaker 2: hundred and twelve thousand. Now, that pretty much tells you 206 00:11:19,200 --> 00:11:21,400 Speaker 2: a lot of what you need to know. But as 207 00:11:21,440 --> 00:11:24,600 Speaker 2: I've been pointing out what you see with a lot 208 00:11:24,600 --> 00:11:27,200 Speaker 2: of younger people and a lot of people, I'm seeing 209 00:11:27,200 --> 00:11:31,040 Speaker 2: more and more people that should know better. But what 210 00:11:31,080 --> 00:11:33,600 Speaker 2: they're doing is scrolling through their phones and just getting 211 00:11:33,600 --> 00:11:37,000 Speaker 2: the headlines. And a lot of times the headlines don't 212 00:11:37,040 --> 00:11:39,800 Speaker 2: match what's in the story, and when you dig into 213 00:11:39,800 --> 00:11:42,480 Speaker 2: the story, it changes the complexity of it. You read 214 00:11:42,520 --> 00:11:44,360 Speaker 2: the story and go, how the hell did they come 215 00:11:44,440 --> 00:11:46,120 Speaker 2: up with that particular headline? 216 00:11:46,200 --> 00:11:48,880 Speaker 3: And now this one and this is from Reuters. 217 00:11:48,960 --> 00:11:53,520 Speaker 2: Now, I use Reuters a lot because they are a 218 00:11:53,559 --> 00:11:57,880 Speaker 2: bubble or two left of center. Their headlines are always outrageous, 219 00:11:58,160 --> 00:12:01,600 Speaker 2: but when you dig into the numbers they between them 220 00:12:01,760 --> 00:12:06,880 Speaker 2: and CNBC, they generally have probably the best information about 221 00:12:06,920 --> 00:12:11,040 Speaker 2: what's going on. It's just that Reuter's headlines are always 222 00:12:11,080 --> 00:12:15,440 Speaker 2: god awful, but the information in there you have to say, Okay, 223 00:12:16,080 --> 00:12:18,640 Speaker 2: I don't know where they came up with this headline. 224 00:12:18,200 --> 00:12:18,800 Speaker 3: But get this. 225 00:12:19,000 --> 00:12:24,679 Speaker 2: Okay, here's the Reuter's headline, US weekly jobless claims rise moderately. 226 00:12:25,280 --> 00:12:27,720 Speaker 2: And then they talk about the third quarter GDP growth 227 00:12:27,840 --> 00:12:32,840 Speaker 2: revised up. In their first paragraph, the first sentence, the 228 00:12:32,960 --> 00:12:38,640 Speaker 2: number of Americans filing new applications for unemployment benefits increased 229 00:12:39,080 --> 00:12:43,240 Speaker 2: marginally last week. All right, the headline says moderately, and 230 00:12:43,320 --> 00:12:48,840 Speaker 2: the first line says marginally. Now in your mind, and 231 00:12:49,160 --> 00:12:51,440 Speaker 2: I made a couple of phone calls to day, say 232 00:12:51,520 --> 00:12:56,079 Speaker 2: if I said something happened marginally, or if something happened moderately. 233 00:12:56,320 --> 00:12:59,920 Speaker 2: What comes to mind, and pretty much along the lines 234 00:13:00,160 --> 00:13:03,679 Speaker 2: what people were thinking of is something that moderate is 235 00:13:03,920 --> 00:13:08,640 Speaker 2: something somewhere in the middle. So if something rises moderately, 236 00:13:08,880 --> 00:13:11,920 Speaker 2: you're guessing that it's oh, maybe about fifty percent, forty 237 00:13:11,920 --> 00:13:15,520 Speaker 2: percent somewhere around there. If it's a minor, or if 238 00:13:15,559 --> 00:13:19,600 Speaker 2: it's marginally, it's kind of more on the slight barely 239 00:13:19,800 --> 00:13:22,559 Speaker 2: up and all this sort of stuff. But what's amazing 240 00:13:23,080 --> 00:13:25,800 Speaker 2: is that they don't get into the numbers. Now I 241 00:13:25,880 --> 00:13:28,680 Speaker 2: mentioned that in the headlines that I read, but it 242 00:13:28,800 --> 00:13:33,240 Speaker 2: takes them five paragraphs to get to the actual details. 243 00:13:33,520 --> 00:13:37,120 Speaker 2: They talk about, you know, marginally increased marginal last week, 244 00:13:37,200 --> 00:13:40,520 Speaker 2: suggesting the labor market likely maintained a steady pace of 245 00:13:40,640 --> 00:13:41,920 Speaker 2: job growth in January. 246 00:13:42,120 --> 00:13:43,760 Speaker 3: Labored Department weekly jobs. 247 00:13:43,520 --> 00:13:46,160 Speaker 2: Claims of courts have been in recent weeks have been 248 00:13:46,160 --> 00:13:49,199 Speaker 2: clouded by challenges. Then they talk about the economy is 249 00:13:49,240 --> 00:13:53,160 Speaker 2: experiencing jobless growth, the United States is experiencing a jobless boom, 250 00:13:53,200 --> 00:13:55,280 Speaker 2: and all this sort of stuff. Then they finally get 251 00:13:55,280 --> 00:13:58,720 Speaker 2: to in the fifth paragraph. Initial claims for state unemployment 252 00:13:58,720 --> 00:14:05,160 Speaker 2: benefits rose one thousand to a seasonally adjusted two hundred 253 00:14:05,160 --> 00:14:08,800 Speaker 2: thousand for the week ended January seventeenth. The Labor Market 254 00:14:08,880 --> 00:14:12,640 Speaker 2: said economists polled by Rutters had forecasted two hundred and 255 00:14:12,760 --> 00:14:15,160 Speaker 2: ten thousand. The other story over here said they had 256 00:14:15,160 --> 00:14:19,120 Speaker 2: forecasted two hundred and twelve. But the unemployment rate or 257 00:14:19,160 --> 00:14:22,560 Speaker 2: the initial jobless claims last week was one hundred and 258 00:14:22,720 --> 00:14:29,240 Speaker 2: ninety nine thousand, one thousand more people initial jobless claims. 259 00:14:29,560 --> 00:14:32,720 Speaker 2: If you did the percentage of that, it is one 260 00:14:33,280 --> 00:14:38,720 Speaker 2: half of one percent, one half of one percent. When 261 00:14:38,760 --> 00:14:41,960 Speaker 2: you do a search in terms of that, it is 262 00:14:42,080 --> 00:14:51,000 Speaker 2: basically minimal, negligible, insignificant. It certainly isn't moderately higher. It 263 00:14:51,120 --> 00:14:55,360 Speaker 2: certainly isn't marginally higher. Going to the definition, I actually 264 00:14:55,440 --> 00:14:57,400 Speaker 2: dug into this. I said, I gotta, you know, I 265 00:14:57,480 --> 00:14:59,160 Speaker 2: got at least have some stuff that you know. I 266 00:14:59,160 --> 00:15:01,480 Speaker 2: got to look at this because in my mind, I 267 00:15:01,520 --> 00:15:05,640 Speaker 2: think it was extremely misleading for a purpose, because again, 268 00:15:06,000 --> 00:15:09,440 Speaker 2: these spoon fed regurgitators in the mainstream media are trying 269 00:15:09,480 --> 00:15:13,440 Speaker 2: to manufacture recession, put the idea in people's heads that 270 00:15:13,480 --> 00:15:18,000 Speaker 2: we're not having a good economy, that somehow something's wrong. 271 00:15:18,120 --> 00:15:21,040 Speaker 2: And of course they keep talking about that wonderful word 272 00:15:21,160 --> 00:15:25,440 Speaker 2: affordability that Oh, by the way, they didn't even know that. 273 00:15:25,520 --> 00:15:28,080 Speaker 2: They couldn't even find that in the dictionary. During the 274 00:15:28,360 --> 00:15:32,960 Speaker 2: Biden years, Moderately, as a percentage, you see moderately successful, 275 00:15:33,200 --> 00:15:37,160 Speaker 2: usually about fifty to seventy percent successful, moderately spicy, a 276 00:15:37,240 --> 00:15:40,600 Speaker 2: dish that has some heat but won't overwhelm most people, 277 00:15:40,800 --> 00:15:44,400 Speaker 2: maybe about forty to sixty percent. So did unemployment go 278 00:15:44,560 --> 00:15:48,840 Speaker 2: up forty percent? Sixty percent somewhere around there. Marginally means 279 00:15:49,000 --> 00:15:52,920 Speaker 2: slightly barely to a small extent, a smaller extent, So 280 00:15:53,000 --> 00:15:56,200 Speaker 2: as a percentage that represents a very small, often insignificant 281 00:15:56,200 --> 00:16:01,520 Speaker 2: amount somewhere between one and five percent at marginally or modestly, 282 00:16:01,680 --> 00:16:04,880 Speaker 2: we're not even close to a half a percentage point, 283 00:16:04,960 --> 00:16:10,040 Speaker 2: which is basically negligible, slimmed ton, not even pretty much, 284 00:16:10,160 --> 00:16:13,560 Speaker 2: not even worth talking about. But in their headlines Uless 285 00:16:13,560 --> 00:16:17,480 Speaker 2: Weekly job as claims arise moderately and then in their 286 00:16:17,480 --> 00:16:23,600 Speaker 2: first paragraph increased marginally unbelievable, And like I said, it 287 00:16:23,680 --> 00:16:24,880 Speaker 2: is so misleading. 288 00:16:24,960 --> 00:16:25,640 Speaker 3: It is just so. 289 00:16:27,000 --> 00:16:30,680 Speaker 2: It is not even close to journalism. This is biased 290 00:16:30,720 --> 00:16:34,400 Speaker 2: reporting and trying to put in people's minds certain things 291 00:16:34,400 --> 00:16:39,040 Speaker 2: that aren't even there. Again, why people pay attention to 292 00:16:39,080 --> 00:16:40,720 Speaker 2: some of these people in the mainstream media. 293 00:16:40,800 --> 00:16:41,360 Speaker 3: I don't know. 294 00:16:41,680 --> 00:16:45,520 Speaker 2: They've lied to us so many times it doesn't even 295 00:16:46,000 --> 00:16:49,080 Speaker 2: sometimes don't even pay to listen to them. But again, 296 00:16:49,560 --> 00:16:52,560 Speaker 2: as I've said Reuters, if you dig into their story, 297 00:16:52,600 --> 00:16:56,080 Speaker 2: I mean, they generally do a good job of talking 298 00:16:56,120 --> 00:16:59,760 Speaker 2: about what the factors are. It's just their headline and 299 00:16:59,800 --> 00:17:03,040 Speaker 2: their adjectives that you got to get passed in order 300 00:17:03,120 --> 00:17:03,560 Speaker 2: to get to. 301 00:17:03,520 --> 00:17:04,320 Speaker 3: The meat of the matter. 302 00:17:06,440 --> 00:17:09,359 Speaker 2: They talk about again, initial job as claims only go 303 00:17:09,440 --> 00:17:13,199 Speaker 2: on up one thousand from last week. Economists say President 304 00:17:13,200 --> 00:17:17,600 Speaker 2: Donald Trump's aggressive trade in immigration policies have reduced both 305 00:17:17,680 --> 00:17:21,440 Speaker 2: the demand for and supply of workers. Businesses are also 306 00:17:21,680 --> 00:17:25,200 Speaker 2: unsure of their staffing needs as they need as they 307 00:17:25,240 --> 00:17:26,719 Speaker 2: invest heavily in AI. 308 00:17:27,240 --> 00:17:29,840 Speaker 3: We've had story after story after story where. 309 00:17:29,680 --> 00:17:32,440 Speaker 2: They talked about the actual unemployment rate when they talk 310 00:17:32,440 --> 00:17:35,560 Speaker 2: about it being four point two four point three percent, 311 00:17:36,080 --> 00:17:40,040 Speaker 2: that all the talk of AI displacing people in twenty 312 00:17:40,119 --> 00:17:44,600 Speaker 2: twenty five hasn't happened, hasn't materialized. In fact, remember we 313 00:17:44,680 --> 00:17:47,440 Speaker 2: had the one story where it talked about how some 314 00:17:47,520 --> 00:17:51,000 Speaker 2: of these companies will actually in terms of trying to 315 00:17:51,520 --> 00:17:55,479 Speaker 2: impress their investors will announce that they are going to 316 00:17:55,520 --> 00:17:58,800 Speaker 2: have a significant number of layoffs or a certain amount 317 00:17:58,840 --> 00:18:02,280 Speaker 2: of layoffs, and their stock boat boosts up. But what 318 00:18:02,320 --> 00:18:08,920 Speaker 2: they referred to that as ghost reporting, ghost job cuts, 319 00:18:09,280 --> 00:18:13,720 Speaker 2: because they never materialize, and so it gets the big headline, 320 00:18:13,920 --> 00:18:16,400 Speaker 2: they get their stock boosted up, and then they can 321 00:18:16,440 --> 00:18:18,760 Speaker 2: go on and it's kind of a trick that they use, 322 00:18:19,119 --> 00:18:21,920 Speaker 2: and so buying into that when you hear that and 323 00:18:22,359 --> 00:18:24,359 Speaker 2: a company will say, oh, we're going to be laying 324 00:18:24,359 --> 00:18:27,359 Speaker 2: off two three thousand people, Well do they actually do 325 00:18:27,440 --> 00:18:29,880 Speaker 2: that or do they not? And if that's in people's 326 00:18:29,920 --> 00:18:32,440 Speaker 2: head and it gets reported, then people are thinking, oh, 327 00:18:32,480 --> 00:18:34,879 Speaker 2: myn there's a bunch of people getting laid off, but 328 00:18:34,960 --> 00:18:38,000 Speaker 2: it's not showing up in the unemployment numbers. And that's 329 00:18:38,040 --> 00:18:41,200 Speaker 2: why again I was so shocked a couple of months ago, 330 00:18:41,640 --> 00:18:45,359 Speaker 2: in the midst of this humor Schumer shutdown, that they 331 00:18:45,400 --> 00:18:48,680 Speaker 2: came up and said that, oh, unemployment raised four point 332 00:18:48,680 --> 00:18:51,760 Speaker 2: six percent. And I said, at the time, how did 333 00:18:51,800 --> 00:18:53,760 Speaker 2: it go from? First of all, I question when it 334 00:18:53,840 --> 00:18:56,640 Speaker 2: first went to four point three percent, and then from 335 00:18:56,640 --> 00:18:59,280 Speaker 2: four point three to four point four because we were 336 00:18:59,320 --> 00:19:02,560 Speaker 2: seeing that limited amount of job claims in the initial 337 00:19:02,640 --> 00:19:05,640 Speaker 2: jobless claims on a weekly basis. We were seeing those 338 00:19:05,720 --> 00:19:09,960 Speaker 2: numbers between what they talk about the sweet spot over 339 00:19:10,000 --> 00:19:13,080 Speaker 2: the years of being between two hundred and ten thousand 340 00:19:13,119 --> 00:19:16,400 Speaker 2: and two hundred and fifty thousand, and then last few 341 00:19:16,400 --> 00:19:18,720 Speaker 2: weeks now we've had like three weeks in a row 342 00:19:18,800 --> 00:19:23,199 Speaker 2: now where the job initial jobless claims were below the 343 00:19:23,200 --> 00:19:25,680 Speaker 2: two hundred and ten. We had one at one ninety nine, 344 00:19:26,040 --> 00:19:28,639 Speaker 2: one at two oh seven, and now we have this 345 00:19:28,680 --> 00:19:32,560 Speaker 2: one at two hundred thousand. So again, the numbers aren't there. 346 00:19:32,880 --> 00:19:37,560 Speaker 2: The number of people that are claiming jobless claims after 347 00:19:37,600 --> 00:19:41,520 Speaker 2: the first week are coming down, so how is unemployment 348 00:19:41,600 --> 00:19:44,000 Speaker 2: going up? And then we got the revised number a 349 00:19:44,040 --> 00:19:47,119 Speaker 2: couple of weeks ago. Well, miraculously, all of a sudden, 350 00:19:47,200 --> 00:19:50,240 Speaker 2: went from four point six percent down to four point 351 00:19:50,320 --> 00:19:54,199 Speaker 2: four percent. Again, amazing what the media will do. I'm 352 00:19:54,280 --> 00:20:02,359 Speaker 2: Kevin Gordon, America's truck A Network seven hundred WLW. 353 00:20:02,560 --> 00:20:04,800 Speaker 4: Here's your trucking forecast for the Try State and the 354 00:20:04,840 --> 00:20:07,280 Speaker 4: rest of the country and the Chry State. Overnight skies 355 00:20:07,320 --> 00:20:10,800 Speaker 4: mostly cleared, the low down to sixteen mostly Sunday Friday, 356 00:20:10,800 --> 00:20:13,399 Speaker 4: a high of only twenty one Saturday We'll start to 357 00:20:13,440 --> 00:20:15,480 Speaker 4: see snow moving during the afternoon, and it will be 358 00:20:15,520 --> 00:20:18,040 Speaker 4: cold to high of only sixteen. Snow will pick up 359 00:20:18,080 --> 00:20:23,240 Speaker 4: Saturday evening, continuing and accumulating through Sunday. Nationally, through Friday, 360 00:20:23,280 --> 00:20:26,239 Speaker 4: scattered snow squalls we'll make for dangerous travel in the 361 00:20:26,280 --> 00:20:29,560 Speaker 4: interior Northeast to northern and central New England. A major 362 00:20:29,560 --> 00:20:31,720 Speaker 4: winter storm set to bring dangerous ice and sleet to 363 00:20:31,760 --> 00:20:34,479 Speaker 4: parts of the Southern Plains and lower Mississippi Valley starting 364 00:20:34,520 --> 00:20:38,560 Speaker 4: Friday and continuing into the weekend, while bringing heavy snowfall 365 00:20:38,640 --> 00:20:42,520 Speaker 4: northwards from the Ohio Valley, mid Atlantic and New England states. 366 00:20:42,880 --> 00:20:45,440 Speaker 4: There is also a dangerous blast of Arctic air moving 367 00:20:45,480 --> 00:20:47,880 Speaker 4: over the Great Plains in eastern US this weekend. 368 00:20:50,280 --> 00:20:53,240 Speaker 3: Seven hundred WLW. I'm Kevin Gordon. 369 00:20:53,320 --> 00:20:55,679 Speaker 2: This is America's Struck A network. We're talking about this 370 00:20:55,720 --> 00:20:57,960 Speaker 2: weekly job as clients. I spend a lot of time 371 00:20:58,040 --> 00:21:01,840 Speaker 2: on it because again you see ade and you hear 372 00:21:01,920 --> 00:21:04,919 Speaker 2: them talking about moderately, which you know is somewhere in 373 00:21:04,920 --> 00:21:08,400 Speaker 2: the middle. You know, fifty percent, sixty percent, a modest 374 00:21:09,520 --> 00:21:13,320 Speaker 2: marginally those have and this is the thing that I'm seeing. 375 00:21:13,920 --> 00:21:18,280 Speaker 2: We are having the media and for the longest time 376 00:21:18,760 --> 00:21:23,000 Speaker 2: they have. You know, we're in order to communicate as 377 00:21:23,080 --> 00:21:28,000 Speaker 2: human beings, we have to have an understanding that a 378 00:21:28,040 --> 00:21:34,000 Speaker 2: certain word means a certain thing. Looking around at the console, here, 379 00:21:34,560 --> 00:21:37,520 Speaker 2: I see a computer, and we all have to know 380 00:21:37,560 --> 00:21:40,720 Speaker 2: what a computer is. I see my phone, I see 381 00:21:40,720 --> 00:21:43,520 Speaker 2: a coffee cup. But if you want to call my 382 00:21:43,680 --> 00:21:46,760 Speaker 2: coffee cup a computer, we're going to have problems just 383 00:21:48,040 --> 00:21:50,760 Speaker 2: communicating back and forth. If you want to call my 384 00:21:50,920 --> 00:21:55,159 Speaker 2: microphone a broom, that's going to be a problem. And 385 00:21:55,200 --> 00:21:58,080 Speaker 2: what I'm seeing in the media that they keep changing 386 00:21:58,119 --> 00:22:01,119 Speaker 2: these words. They keep coming up up with words that 387 00:22:01,160 --> 00:22:05,400 Speaker 2: don't really mean something. They will say something like migrants 388 00:22:05,760 --> 00:22:09,840 Speaker 2: when they're referring to illegal aliens, people that are here 389 00:22:09,960 --> 00:22:12,880 Speaker 2: if you break the law, if you come into this country, 390 00:22:13,080 --> 00:22:16,360 Speaker 2: if you invade this country and you don't come through 391 00:22:16,400 --> 00:22:19,760 Speaker 2: the process, you are here illegally. So if you are 392 00:22:19,840 --> 00:22:23,040 Speaker 2: a person you are illegally here, then we hear this, Oh, 393 00:22:23,160 --> 00:22:26,919 Speaker 2: nobody's an illegal person. There's no such thing as an 394 00:22:26,960 --> 00:22:30,879 Speaker 2: illegal person. Really, so there's no such thing as what 395 00:22:31,119 --> 00:22:35,040 Speaker 2: a robbery because you know that's illegal. But if I 396 00:22:35,240 --> 00:22:38,000 Speaker 2: want to call it that, I'm just borrowing that or 397 00:22:38,040 --> 00:22:40,480 Speaker 2: that I'm using it because they don't need. 398 00:22:40,440 --> 00:22:44,520 Speaker 3: What you know. Word Like I said, words mean things. 399 00:22:44,760 --> 00:22:47,240 Speaker 2: They and if you change the words, if you change 400 00:22:47,280 --> 00:22:49,240 Speaker 2: the tone of things, you were going to change the 401 00:22:49,280 --> 00:22:52,840 Speaker 2: complexity of things and how people understand stuff. I actually 402 00:22:52,880 --> 00:22:56,400 Speaker 2: got into a conversation with somebody that well, I don't 403 00:22:56,400 --> 00:22:59,800 Speaker 2: even go into it talking about mathematics, and that mathematics 404 00:22:59,760 --> 00:23:02,560 Speaker 2: is eight up two. Who says two plus two actually 405 00:23:02,600 --> 00:23:06,359 Speaker 2: equals four? Well, you know what I mean. Then in 406 00:23:06,400 --> 00:23:08,919 Speaker 2: that situation that I guess you can say to that 407 00:23:09,000 --> 00:23:11,639 Speaker 2: person or whatever when they get their paycheck that, well, 408 00:23:11,680 --> 00:23:14,040 Speaker 2: you know, you say you worked eight hours, but how 409 00:23:14,040 --> 00:23:15,800 Speaker 2: do we know it was eight hours, Maybe it was 410 00:23:15,840 --> 00:23:19,639 Speaker 2: four hours, maybe it was twenty hours. It's just words 411 00:23:19,680 --> 00:23:22,480 Speaker 2: mean something. And so when you start skewing the words 412 00:23:22,560 --> 00:23:25,439 Speaker 2: and changing those around. But again getting back to this 413 00:23:25,520 --> 00:23:29,119 Speaker 2: and talking about the jobless or the job's numbers, the 414 00:23:29,240 --> 00:23:31,879 Speaker 2: claims data covered in the period during which the government 415 00:23:32,000 --> 00:23:36,440 Speaker 2: surveyed employers for this unemployment rate covered that period where 416 00:23:36,520 --> 00:23:39,160 Speaker 2: people were surveying for jobs and the peers as though 417 00:23:39,280 --> 00:23:42,959 Speaker 2: jobs went up fifty thousand Bureau of Labor Statistics Annual 418 00:23:43,000 --> 00:23:48,040 Speaker 2: Payrolls Benchmark revision to the published with January's Employment report 419 00:23:48,160 --> 00:23:51,480 Speaker 2: monthly is likely to show a loss of momentum starting 420 00:23:51,480 --> 00:23:54,280 Speaker 2: in twenty twenty four. They're going back and referring to 421 00:23:54,320 --> 00:23:58,000 Speaker 2: this adjustment. You may recall at the beginning of twenty 422 00:23:58,040 --> 00:24:00,840 Speaker 2: twenty five. In March of twenty twenty five, they had 423 00:24:00,880 --> 00:24:03,639 Speaker 2: that major adjustment for the final year of the Biden 424 00:24:03,680 --> 00:24:07,080 Speaker 2: administration and said that well, the number of jobs that 425 00:24:07,160 --> 00:24:12,760 Speaker 2: had been forecasted or had been so called created, all 426 00:24:12,800 --> 00:24:15,439 Speaker 2: of a sudden, the revised numbers said that that was 427 00:24:15,760 --> 00:24:19,800 Speaker 2: nine hundred and eleven thousand less than what was reported. 428 00:24:20,320 --> 00:24:22,600 Speaker 2: And let's not forget that the previous year it was 429 00:24:22,640 --> 00:24:26,919 Speaker 2: eight hundred and eighteen thousand less than reported. That is, 430 00:24:26,960 --> 00:24:30,000 Speaker 2: you may recall, is when Donald Trump in June what 431 00:24:30,160 --> 00:24:34,120 Speaker 2: was it in June, I believe or whatever, towards the 432 00:24:34,160 --> 00:24:37,280 Speaker 2: beginning of the summer, that's when he fired that Erica 433 00:24:38,200 --> 00:24:42,439 Speaker 2: macen Tarfer, who was in charge of the BLS. Again, 434 00:24:42,600 --> 00:24:46,040 Speaker 2: if you don't have accurate numbers, and even if all 435 00:24:46,080 --> 00:24:49,360 Speaker 2: the numbers that come to that office, they don't have 436 00:24:49,440 --> 00:24:53,840 Speaker 2: control over the people that put those numbers together, then 437 00:24:53,880 --> 00:24:56,639 Speaker 2: you darn sure better make sure that the people in 438 00:24:56,680 --> 00:25:00,800 Speaker 2: those positions are giving you the accurate information because it's 439 00:25:00,960 --> 00:25:03,080 Speaker 2: you that is going to take the fall for it. 440 00:25:03,440 --> 00:25:06,879 Speaker 2: And instead of trying to fix the system, they did nothing. 441 00:25:07,160 --> 00:25:09,920 Speaker 2: And this is interesting in here because they again bring 442 00:25:09,960 --> 00:25:12,600 Speaker 2: this up as if it's going to it's news. But 443 00:25:12,680 --> 00:25:16,680 Speaker 2: that nine hundred and eleven thousand missed jobs or phantom 444 00:25:16,760 --> 00:25:19,280 Speaker 2: jobs or ghost jobs or whatever you want to call them, 445 00:25:19,520 --> 00:25:22,240 Speaker 2: that suddenly puff in a you know, a puff of 446 00:25:22,280 --> 00:25:26,600 Speaker 2: smoke suddenly disappeared, that was reported back in March of 447 00:25:26,680 --> 00:25:29,959 Speaker 2: twenty twenty five. Why they talk about it here because 448 00:25:30,000 --> 00:25:33,520 Speaker 2: then they launch into this. The overcounting has been blamed 449 00:25:33,600 --> 00:25:38,240 Speaker 2: on the birth death model that BLS uses to estimate 450 00:25:38,520 --> 00:25:41,840 Speaker 2: how many jobs were gained or lost because of companies 451 00:25:42,119 --> 00:25:45,119 Speaker 2: opening or closing in a given month. Starting with the 452 00:25:45,200 --> 00:25:49,119 Speaker 2: January report, the BLS will change that model by incorporating 453 00:25:49,480 --> 00:25:55,200 Speaker 2: current sample information each month. Why wouldn't you so if 454 00:25:55,240 --> 00:25:59,920 Speaker 2: the model isn't working, you change it. And if nothing else. 455 00:26:00,240 --> 00:26:04,440 Speaker 2: Now suddenly, because of Donald Trump and talking about how 456 00:26:04,480 --> 00:26:07,280 Speaker 2: these things have been going, people are saying, you know what, 457 00:26:08,040 --> 00:26:10,399 Speaker 2: maybe we should have better way of coming up with 458 00:26:10,440 --> 00:26:14,240 Speaker 2: these numbers so that we don't have these surprises of 459 00:26:15,200 --> 00:26:18,919 Speaker 2: nine hundred thousand jobs missing, and then eight hundred thousand 460 00:26:18,960 --> 00:26:21,680 Speaker 2: jobs missing the previous year for a total of one 461 00:26:21,720 --> 00:26:25,440 Speaker 2: point seven million dollar jobs that suddenly disappeared. Number of 462 00:26:25,480 --> 00:26:29,480 Speaker 2: people receiving unemployment benefits beyond the initial week fell by 463 00:26:29,480 --> 00:26:33,160 Speaker 2: twenty six thousand. Then they also talked about the GDP, 464 00:26:33,760 --> 00:26:38,080 Speaker 2: the GDP that we saw reported in the third quarter, 465 00:26:38,560 --> 00:26:41,520 Speaker 2: they did their final revision. The final revision number came 466 00:26:41,520 --> 00:26:44,359 Speaker 2: out and instead of coming in at four point three percent, 467 00:26:44,720 --> 00:26:47,840 Speaker 2: it came up at four point four percent. Not a 468 00:26:47,880 --> 00:26:52,359 Speaker 2: big difference, but still higher in the right direction. Now, 469 00:26:52,440 --> 00:26:55,840 Speaker 2: let's not forget that back in Liberation Day they were 470 00:26:55,880 --> 00:26:59,840 Speaker 2: talking about we will be lucky if we see GDP 471 00:27:00,160 --> 00:27:02,120 Speaker 2: by the end of the year at one point eight 472 00:27:02,160 --> 00:27:06,119 Speaker 2: to May, maybe on the outside of two percent. And 473 00:27:06,240 --> 00:27:08,960 Speaker 2: I said here on this program that I would not 474 00:27:09,080 --> 00:27:11,400 Speaker 2: be surprised that by the end of the year we 475 00:27:11,440 --> 00:27:15,119 Speaker 2: saw GDP somewhere between four and a half percent and 476 00:27:15,240 --> 00:27:19,040 Speaker 2: five percent. Now, this report that they're talking about is 477 00:27:19,080 --> 00:27:22,320 Speaker 2: in the third quarter, so we still haven't seen the 478 00:27:22,359 --> 00:27:27,159 Speaker 2: initial or the estimate except from the Atlanta Federal Reserve 479 00:27:27,400 --> 00:27:31,720 Speaker 2: in terms of what the GDP for the fourth quarter 480 00:27:31,760 --> 00:27:35,520 Speaker 2: is going to be. So looking at this they did 481 00:27:35,560 --> 00:27:39,760 Speaker 2: revise that up to four point four percent from four 482 00:27:39,800 --> 00:27:45,359 Speaker 2: point three and economists had said activity has assumed they're 483 00:27:45,359 --> 00:27:48,080 Speaker 2: talking about this case shaped pattern that the higher income 484 00:27:48,119 --> 00:27:51,160 Speaker 2: people are not affected and the lower income or middle 485 00:27:51,359 --> 00:27:55,240 Speaker 2: income people are not spending as much. Well, again, that's 486 00:27:55,280 --> 00:27:58,640 Speaker 2: pretty much the same in any economy, because you know 487 00:27:58,720 --> 00:28:02,560 Speaker 2: you've got the unaffected and the affected class. The unaffected 488 00:28:02,600 --> 00:28:06,240 Speaker 2: class is unaffected by a lot of stuff. By definition, 489 00:28:06,560 --> 00:28:09,240 Speaker 2: it's us the affected class that a lot of these 490 00:28:09,240 --> 00:28:13,119 Speaker 2: people were passing these laws that affect us. So the 491 00:28:13,240 --> 00:28:18,720 Speaker 2: stories here about the gross domestic product and what's going 492 00:28:18,760 --> 00:28:23,120 Speaker 2: on there. Looking at those headlines, some pretty decent headlines there, 493 00:28:24,160 --> 00:28:29,600 Speaker 2: Dow Jones gains as GDP growth hits two year high. 494 00:28:29,680 --> 00:28:34,480 Speaker 2: GDP growth was revised up again. But then they have 495 00:28:34,560 --> 00:28:37,200 Speaker 2: to throw in here that the data got thinner. Well, 496 00:28:37,240 --> 00:28:39,240 Speaker 2: the data got thinner because they got more and more 497 00:28:39,280 --> 00:28:41,960 Speaker 2: information to where there's not guestimates in there. 498 00:28:42,840 --> 00:28:43,520 Speaker 3: According to. 499 00:28:45,080 --> 00:28:49,480 Speaker 2: Another headline, US markets rise on strong GDP and labor data. 500 00:28:50,080 --> 00:28:52,400 Speaker 2: US economy grew at four point four percent in the 501 00:28:52,440 --> 00:28:57,120 Speaker 2: third quarter of the Commerce Department said Bureau of Economic 502 00:28:57,160 --> 00:29:00,800 Speaker 2: Analysis on Thursday released the final reading of the. 503 00:29:00,760 --> 00:29:02,920 Speaker 3: Third quarter GDP, which showed that. 504 00:29:02,880 --> 00:29:05,800 Speaker 2: The economy grew at an annualized rate of four point 505 00:29:05,840 --> 00:29:07,720 Speaker 2: four percent in the three month ended. 506 00:29:07,520 --> 00:29:08,560 Speaker 3: Period in July. 507 00:29:09,120 --> 00:29:14,840 Speaker 2: That figure topped the expectations of economists polled by ls 508 00:29:14,960 --> 00:29:20,120 Speaker 2: e G, who had estimated a three point three percent 509 00:29:20,240 --> 00:29:24,000 Speaker 2: GDP came in at four point three been revised to 510 00:29:24,080 --> 00:29:27,160 Speaker 2: four point four. They had estimated it being at three 511 00:29:27,200 --> 00:29:30,360 Speaker 2: point three in April. They claimed it was going to 512 00:29:30,360 --> 00:29:34,360 Speaker 2: be one point eight maybe two percent. America struck a 513 00:29:34,400 --> 00:29:37,800 Speaker 2: network Kevin Gordon said four point five to five percent 514 00:29:37,880 --> 00:29:38,480 Speaker 2: by the end. 515 00:29:38,400 --> 00:29:40,600 Speaker 3: Of the year. Who's a little bit closer to that? 516 00:29:41,040 --> 00:29:41,720 Speaker 3: Them or me? 517 00:29:42,240 --> 00:29:44,880 Speaker 2: Report also found the GDP rose the annual rate of 518 00:29:44,920 --> 00:29:47,920 Speaker 2: three point eight percent in the second quarter, which is 519 00:29:48,040 --> 00:29:50,600 Speaker 2: up from the three point three percent that they originally 520 00:29:50,920 --> 00:29:54,440 Speaker 2: had forecast, which means that for the entire up to 521 00:29:54,480 --> 00:29:57,560 Speaker 2: the three quarters that they do have under the belt. 522 00:29:58,360 --> 00:30:01,240 Speaker 2: There was a negative GDP in the first quarter, which 523 00:30:01,280 --> 00:30:03,840 Speaker 2: everybody was saying, oh, you know, Trump, Trump, Trump is 524 00:30:04,360 --> 00:30:07,160 Speaker 2: ruining the economy. Well, as it turned out, because of 525 00:30:07,240 --> 00:30:12,520 Speaker 2: the the possible possibility of tariffs, a lot of people 526 00:30:12,600 --> 00:30:16,280 Speaker 2: were bringing imports in ahead of time to be possible 527 00:30:16,480 --> 00:30:21,520 Speaker 2: increases and imports subtract from that GDP. We dug into 528 00:30:21,560 --> 00:30:24,040 Speaker 2: that here on America's struck A network, and there people 529 00:30:24,120 --> 00:30:27,600 Speaker 2: were saying that if taking out the imports and putting 530 00:30:27,680 --> 00:30:30,880 Speaker 2: that off to the side, GDP would have risen to 531 00:30:30,920 --> 00:30:33,880 Speaker 2: two point five percent in that quarter. So anyway, adding 532 00:30:33,960 --> 00:30:36,720 Speaker 2: all those up, the negative point six percent, three point 533 00:30:36,800 --> 00:30:40,040 Speaker 2: eight percent in the second quarter, and then four point 534 00:30:40,080 --> 00:30:44,000 Speaker 2: four they're saying that the for the first three quarters 535 00:30:44,200 --> 00:30:46,680 Speaker 2: that the economy grew at an average of two point 536 00:30:46,800 --> 00:30:50,440 Speaker 2: five percent, still well above that one point eight percent 537 00:30:50,480 --> 00:30:52,480 Speaker 2: that they were coming up with and that they were 538 00:30:52,520 --> 00:30:57,440 Speaker 2: talking about. And still as they keep when they kept 539 00:30:57,440 --> 00:31:00,040 Speaker 2: referring to the GDP, they were saying, well, in the 540 00:31:00,080 --> 00:31:04,120 Speaker 2: final period of the Biden administration, it was two point 541 00:31:04,160 --> 00:31:07,000 Speaker 2: four So these numbers are far away from that. Well, yeah, 542 00:31:07,000 --> 00:31:10,440 Speaker 2: they're far away from that, about two point one percent 543 00:31:10,640 --> 00:31:13,720 Speaker 2: higher than that. So put that in your pipe and 544 00:31:13,760 --> 00:31:16,800 Speaker 2: smoke it. I'm Kevin Gordon, America Instructing Network, seven hundred 545 00:31:17,040 --> 00:31:21,600 Speaker 2: wlw W. I'm Kevin Bordon, finishing up this story talking 546 00:31:21,600 --> 00:31:24,160 Speaker 2: about gross domestic product. And if you missed any of 547 00:31:24,200 --> 00:31:28,000 Speaker 2: our previous segments, manever shows sniffed that iHeartRadio app brought 548 00:31:28,040 --> 00:31:30,640 Speaker 2: to you by our friends at Rush Truck Centers. I 549 00:31:30,680 --> 00:31:32,320 Speaker 2: got a kick out of this when I read this, 550 00:31:32,400 --> 00:31:35,400 Speaker 2: because remember in the previous story we were talking about 551 00:31:35,600 --> 00:31:38,560 Speaker 2: that they were thinking that GDP or where GDP was 552 00:31:38,600 --> 00:31:42,520 Speaker 2: going to be in this particular story, I got to 553 00:31:42,600 --> 00:31:44,200 Speaker 2: kick out of this. I'm reading the story that I 554 00:31:44,280 --> 00:31:47,120 Speaker 2: was doing show prep talking about some of these things 555 00:31:47,120 --> 00:31:49,960 Speaker 2: that were going on as far as the economy was concerned. 556 00:31:50,440 --> 00:31:54,640 Speaker 2: AE Parthenon Chief economist greg Gregory Daco said that the 557 00:31:54,720 --> 00:31:59,480 Speaker 2: strong GDP reading was driven by resilient consumer spending, robust 558 00:31:59,560 --> 00:32:04,160 Speaker 2: equipment and AI related investment. US economy is neither overheating 559 00:32:04,200 --> 00:32:08,760 Speaker 2: nor stalling. Those include a significant rise in tariffs along 560 00:32:08,760 --> 00:32:12,760 Speaker 2: with notable decline throughout all his analysis comes up and 561 00:32:12,800 --> 00:32:16,640 Speaker 2: he says Daco said that the first that the firm 562 00:32:17,160 --> 00:32:21,760 Speaker 2: expects that real GDP will rise three point two percent 563 00:32:22,200 --> 00:32:26,000 Speaker 2: in quarter four and twenty twenty five, along with an 564 00:32:26,000 --> 00:32:30,360 Speaker 2: average GDP growth of two point three for all of 565 00:32:30,360 --> 00:32:33,720 Speaker 2: twenty twenty five. That's his estimate. I put a note 566 00:32:33,720 --> 00:32:36,840 Speaker 2: out to the side, I said, Kevin is predicting a 567 00:32:36,960 --> 00:32:41,000 Speaker 2: five percent maybe at this point five point two percent 568 00:32:41,280 --> 00:32:44,760 Speaker 2: of GDP, and I base that on in the fourth quarter, 569 00:32:45,040 --> 00:32:48,680 Speaker 2: we had Christmas sales that were up six percent, we 570 00:32:48,800 --> 00:32:52,640 Speaker 2: had car sales that were up six percent, and so 571 00:32:53,080 --> 00:32:56,360 Speaker 2: that's got a factor into it. Then I pick up 572 00:32:56,400 --> 00:33:00,920 Speaker 2: this story as I'm doing show prep from invest Let 573 00:33:00,920 --> 00:33:02,760 Speaker 2: me see investing dot com. 574 00:33:03,040 --> 00:33:05,400 Speaker 3: Get this, okay, and. 575 00:33:05,280 --> 00:33:07,120 Speaker 2: This is where you know one of the things I 576 00:33:07,160 --> 00:33:11,360 Speaker 2: looked at a couple of weeks ago looking at these numbers, 577 00:33:11,480 --> 00:33:16,959 Speaker 2: and the Federal Reserve out of Atlanta according to a forecast, 578 00:33:17,240 --> 00:33:20,480 Speaker 2: and this was a report that was out last week 579 00:33:20,520 --> 00:33:23,959 Speaker 2: the week before, all right, and this guy is talking 580 00:33:23,960 --> 00:33:27,400 Speaker 2: about it yesterday at being what three point what was 581 00:33:27,440 --> 00:33:31,720 Speaker 2: the number again, three point eight three point eight or 582 00:33:31,760 --> 00:33:34,880 Speaker 2: something along those lines. According to forecasts from the Atlanta 583 00:33:35,200 --> 00:33:40,240 Speaker 2: Federal Reserve, GDP is seen increasing by five point four 584 00:33:40,360 --> 00:33:44,640 Speaker 2: percent in the fourth quarter. Analysts have been suggesting that 585 00:33:44,680 --> 00:33:49,280 Speaker 2: the US economy has become largely bifurcated, with high income 586 00:33:49,320 --> 00:33:52,080 Speaker 2: earners driving the bulk of the growth, as low and 587 00:33:52,160 --> 00:33:55,920 Speaker 2: to middle income households people are grappling with the elevating prices, 588 00:33:56,280 --> 00:34:00,480 Speaker 2: again what you normally see in an economy. But the 589 00:34:00,560 --> 00:34:03,959 Speaker 2: fact that the Federal Reserve two weeks ago, we're talking 590 00:34:03,960 --> 00:34:07,440 Speaker 2: about five point four percent based on what they were seeing, 591 00:34:07,720 --> 00:34:10,640 Speaker 2: and this bonehead over here says, we're not even going 592 00:34:10,719 --> 00:34:11,760 Speaker 2: to get to four percent. 593 00:34:12,120 --> 00:34:14,719 Speaker 3: I'll tell you it's mind boggling. 594 00:34:14,440 --> 00:34:19,200 Speaker 2: That these people that are supposed experts, what they talk about, 595 00:34:19,320 --> 00:34:21,759 Speaker 2: how they talk about it, when they talk about it, 596 00:34:21,920 --> 00:34:24,560 Speaker 2: and you wonder, how do they come up how do 597 00:34:24,600 --> 00:34:27,400 Speaker 2: they keep their job? For crying out loud? You know, 598 00:34:27,680 --> 00:34:30,800 Speaker 2: I keep going back to that one phrase about economists 599 00:34:30,960 --> 00:34:33,719 Speaker 2: every time I hear the word economists and I hear, 600 00:34:33,920 --> 00:34:37,080 Speaker 2: you know, certain economists are saying this, and certain economists 601 00:34:37,120 --> 00:34:39,680 Speaker 2: are saying that. Well, I guess maybe what you should 602 00:34:39,719 --> 00:34:43,600 Speaker 2: be referring to. Possibly if you want accurate information you 603 00:34:43,719 --> 00:34:47,520 Speaker 2: must you should be listening to atn and the Recovering 604 00:34:47,560 --> 00:34:51,080 Speaker 2: accountant that is the host of that show. An economist 605 00:34:51,200 --> 00:34:54,200 Speaker 2: is an expert who will know tomorrow why the things 606 00:34:54,239 --> 00:34:58,600 Speaker 2: he predicted yesterday didn't happen today, and what do we 607 00:34:58,640 --> 00:35:01,680 Speaker 2: see time and time again. That is what we're seeing 608 00:35:01,719 --> 00:35:03,960 Speaker 2: as far as these predictions as far as the economy, 609 00:35:04,239 --> 00:35:08,080 Speaker 2: except from America's Struck A Network. Part of the numbers 610 00:35:08,080 --> 00:35:09,919 Speaker 2: that came out yesterday, which is one of the big 611 00:35:10,000 --> 00:35:13,279 Speaker 2: numbers that the Federal Reserve looks at determining whether or 612 00:35:13,320 --> 00:35:16,240 Speaker 2: not they're going to lower interest rates or keep interest 613 00:35:16,280 --> 00:35:19,279 Speaker 2: rates steady. This is the number that they concentrate on, 614 00:35:19,800 --> 00:35:22,200 Speaker 2: and that information came out and by the way, the 615 00:35:22,239 --> 00:35:24,879 Speaker 2: Fed is going to be meeting next week, so it'll 616 00:35:24,920 --> 00:35:28,600 Speaker 2: be interesting what happens there. But it's called Personal Consumption 617 00:35:28,719 --> 00:35:34,120 Speaker 2: Expenditures Price Index. Inflation drifted slightly higher, further from the 618 00:35:34,160 --> 00:35:37,800 Speaker 2: Federal Reserve's target November, up one tenth of one percent 619 00:35:37,840 --> 00:35:40,560 Speaker 2: of kind of cut through the chase and the excitement 620 00:35:40,600 --> 00:35:43,719 Speaker 2: of that because they're like all excited, Oh, it went 621 00:35:43,800 --> 00:35:47,440 Speaker 2: up slightly. It's moving further away from two percent. Personal 622 00:35:47,440 --> 00:35:51,840 Speaker 2: consumption Expenditures price Index. The Commerce Department measures by the 623 00:35:51,880 --> 00:35:54,759 Speaker 2: Central Bank in which the Central Bank uses it's made 624 00:35:54,760 --> 00:35:58,400 Speaker 2: in forecasting tool, showed inflation at two point eight percent 625 00:35:58,520 --> 00:36:02,319 Speaker 2: for the month, both for headline and core numbers. That 626 00:36:02,480 --> 00:36:05,160 Speaker 2: is up from the two point seven percent in the 627 00:36:05,200 --> 00:36:10,520 Speaker 2: previous quarter. In let's see, personal savings rate rose in 628 00:36:10,640 --> 00:36:14,040 Speaker 2: November to three point five percent, which was down point 629 00:36:14,120 --> 00:36:18,600 Speaker 2: two percent from the prior month. So savings are up 630 00:36:19,680 --> 00:36:24,200 Speaker 2: and as they refer to this, the PCE is pretty 631 00:36:24,280 --> 00:36:25,320 Speaker 2: much flat. 632 00:36:26,239 --> 00:36:27,680 Speaker 3: What else can we dig out of this. 633 00:36:28,120 --> 00:36:32,440 Speaker 2: The other story that covers this was another by This 634 00:36:32,600 --> 00:36:36,640 Speaker 2: was covered by Fox Business. They actually break down in 635 00:36:36,719 --> 00:36:40,480 Speaker 2: terms of the personal consumption expenditures and to explain that, 636 00:36:40,800 --> 00:36:43,840 Speaker 2: we do have what they call the consumer price index, 637 00:36:43,880 --> 00:36:48,719 Speaker 2: which is all of everything that's bought or everything that's 638 00:36:48,800 --> 00:36:53,799 Speaker 2: in the economy. So everything from avocados to zinc, any 639 00:36:53,800 --> 00:36:56,520 Speaker 2: of those prices that go up, that is all factored 640 00:36:56,560 --> 00:36:59,800 Speaker 2: into that consumer price index. But let's face it, and 641 00:37:00,040 --> 00:37:04,200 Speaker 2: as this personal consumption expenditures does, they take a look 642 00:37:04,200 --> 00:37:06,120 Speaker 2: at that and they say, well, now, wait a minute. 643 00:37:06,560 --> 00:37:11,200 Speaker 2: People aren't buying refrigerators every year. They're not buying new 644 00:37:11,239 --> 00:37:14,920 Speaker 2: cars every year, they're not buying major appliances, they're not 645 00:37:15,040 --> 00:37:18,360 Speaker 2: buying houses every year. So you want to pull some 646 00:37:18,480 --> 00:37:21,440 Speaker 2: of these items out that are not the run of 647 00:37:21,480 --> 00:37:24,799 Speaker 2: the mill things that everybody spends money on on a 648 00:37:24,840 --> 00:37:28,560 Speaker 2: regular basis. Let's just focus on that to get a 649 00:37:28,640 --> 00:37:34,680 Speaker 2: true idea, because obviously, if the consumer is overburdened with 650 00:37:36,000 --> 00:37:40,440 Speaker 2: normal necessities in terms of the price increases, they're not 651 00:37:40,520 --> 00:37:44,600 Speaker 2: going to have money to spend on leisure activities going 652 00:37:44,640 --> 00:37:48,440 Speaker 2: out to movies, ballgames, theater, any of that sort of stuff, 653 00:37:48,680 --> 00:37:52,239 Speaker 2: So those industries will suffer. But what we've seen when 654 00:37:52,239 --> 00:37:56,120 Speaker 2: we've looked at the employment numbers, the areas that are 655 00:37:56,160 --> 00:38:00,680 Speaker 2: increasing are the hospitality. So if they're adding jobs, they're 656 00:38:00,719 --> 00:38:04,120 Speaker 2: adding jobs there because people have a little bit more 657 00:38:04,120 --> 00:38:07,239 Speaker 2: money to spend and they're actually going there. So that's 658 00:38:07,280 --> 00:38:10,480 Speaker 2: why this is important. But in this particular report they 659 00:38:10,520 --> 00:38:14,600 Speaker 2: actually break down that two point seven percent of how 660 00:38:14,600 --> 00:38:16,680 Speaker 2: it got there two point eight percent, i should say, 661 00:38:16,840 --> 00:38:19,400 Speaker 2: and how it got there. Looking at the prices for 662 00:38:19,480 --> 00:38:24,280 Speaker 2: goods rose one point four percent in November. That the 663 00:38:23,880 --> 00:38:27,560 Speaker 2: growth rate has been a little changed since September when 664 00:38:27,600 --> 00:38:30,760 Speaker 2: the annualize when the annual increase jumped to that level 665 00:38:30,760 --> 00:38:33,279 Speaker 2: from er point nine percent in August and so on. 666 00:38:33,480 --> 00:38:36,560 Speaker 2: They talk about durable goods which were up. Now durable 667 00:38:36,640 --> 00:38:40,240 Speaker 2: goods are items that you buy that will last longer 668 00:38:40,280 --> 00:38:43,960 Speaker 2: than three years, so those numbers were up one point 669 00:38:44,000 --> 00:38:50,759 Speaker 2: two percent. Services prices were up three point four percent. Now, 670 00:38:50,800 --> 00:38:55,960 Speaker 2: what factors into services people working, people providing a service, 671 00:38:56,040 --> 00:38:59,800 Speaker 2: whether it's an accountant, a lawyer, restaurant, employees, things that 672 00:38:59,840 --> 00:39:03,920 Speaker 2: are in the service business of a service to people. 673 00:39:04,160 --> 00:39:07,760 Speaker 2: It's not manufacturing, it's not in a lot of incident. 674 00:39:07,800 --> 00:39:11,560 Speaker 2: It's not the transportation industry. This is in the services area. 675 00:39:11,800 --> 00:39:14,520 Speaker 2: And as you may recall, we talked about in one 676 00:39:14,680 --> 00:39:17,480 Speaker 2: month when the I think it was back in March 677 00:39:17,560 --> 00:39:23,879 Speaker 2: or so, that the that the services area went up significantly. 678 00:39:23,880 --> 00:39:26,520 Speaker 2: I think it went up like five percent. They dug 679 00:39:26,520 --> 00:39:28,200 Speaker 2: into the numbers and they said, well, one of the 680 00:39:28,200 --> 00:39:32,480 Speaker 2: big factors in that number were the amount of brokerage 681 00:39:32,719 --> 00:39:37,560 Speaker 2: commissions that were paid because of the stock market. And 682 00:39:37,640 --> 00:39:41,080 Speaker 2: it wasn't that their fee went up or that they 683 00:39:41,080 --> 00:39:44,000 Speaker 2: were charging higher commissions. It was the fact that with 684 00:39:44,160 --> 00:39:49,600 Speaker 2: the stock market being increasing, people were saying, hey, it's 685 00:39:49,640 --> 00:39:52,239 Speaker 2: time to get in and take advantage of this. So 686 00:39:52,440 --> 00:39:56,640 Speaker 2: more people were in the stock market, there were more transactions. 687 00:39:56,719 --> 00:40:00,160 Speaker 2: Therefore the fees went up. But if we're seeing three 688 00:40:00,200 --> 00:40:04,040 Speaker 2: point four percent increase in services, this has nothing to 689 00:40:04,080 --> 00:40:07,880 Speaker 2: do with tariffs. This has to do with salaries and wages. 690 00:40:08,120 --> 00:40:11,400 Speaker 2: And I talked on this program numerous times. When you 691 00:40:11,480 --> 00:40:13,440 Speaker 2: go back and you look at the fact that the 692 00:40:13,480 --> 00:40:17,200 Speaker 2: autoworkers got about a ten percent raise with a back 693 00:40:17,280 --> 00:40:21,480 Speaker 2: pay of several thousand dollars to sign that contract, the 694 00:40:21,560 --> 00:40:25,120 Speaker 2: ups drivers, the railroad workers, the dock workers on the 695 00:40:25,160 --> 00:40:27,480 Speaker 2: East Coast and the West coast when you take into 696 00:40:27,480 --> 00:40:31,680 Speaker 2: consideration those pay increases. And again I'm not begrudging people 697 00:40:31,719 --> 00:40:34,360 Speaker 2: getting the pay that to do them to provide a 698 00:40:34,600 --> 00:40:36,160 Speaker 2: service to us. 699 00:40:36,360 --> 00:40:37,600 Speaker 3: But let's be real. 700 00:40:37,480 --> 00:40:40,800 Speaker 2: As to where the inflation is coming from. Not blaming 701 00:40:40,840 --> 00:40:43,520 Speaker 2: it on tariffs, not blaming on what else is going 702 00:40:43,560 --> 00:40:46,680 Speaker 2: on in the marketplace. It's what's going on as far 703 00:40:46,760 --> 00:40:50,319 Speaker 2: as wages. So let's be clear on that. Well, folks, 704 00:40:50,360 --> 00:40:52,120 Speaker 2: we're up against clock here. Time for us to scoot 705 00:40:52,120 --> 00:40:55,080 Speaker 2: out the door. Stay tuned for ATI Radio Top the Hour. 706 00:40:55,160 --> 00:41:04,440 Speaker 2: I'm Kevin Gordon, americastruck A Network seven hundred WLW. 707 00:41:02,000 --> 00:41:08,960 Speaker 5: News Traffic and Weather News Radio seven hundred wl W, Cincinnati. 708 00:41:10,040 --> 00:41:14,600 Speaker 6: His first public testimony puts blame for January sixth on Trump. Well, 709 00:41:14,640 --> 00:41:17,960 Speaker 6: if your Top of the Hour reports, I'mley Mawen breaking now. 710 00:41:18,560 --> 00:41:23,040 Speaker 6: Former special counsel Jack Smith defended his investigations into President 711 00:41:23,080 --> 00:41:26,200 Speaker 6: Donald Trump. The indictment's brought up by Smith for dropped 712 00:41:26,200 --> 00:41:28,800 Speaker 6: once Trump won the twenty twenty four election. 713 00:41:29,239 --> 00:41:33,040 Speaker 7: Smith testifying he has no regrets despite receiving death threats 714 00:41:33,360 --> 00:41:36,560 Speaker 7: and having been personally attacked by President Trump for charging 715 00:41:36,680 --> 00:41:40,759 Speaker 7: him with illegally retaining classified documents, obstruction of justice, and 716 00:41:40,840 --> 00:41:44,000 Speaker 7: engaging in a conspiracy to overturn the twenty twenty election, 717 00:41:44,440 --> 00:41:47,520 Speaker 7: charges Trump flatly denies and that were later dropped. 718 00:41:47,600 --> 00:41:51,320 Speaker 1: President Trump was charged because the evidence established that he 719 00:41:51,400 --> 00:41:52,320 Speaker 1: willfully broke. 720 00:41:52,120 --> 00:41:55,080 Speaker 7: The law, but Republicans attacked Smith from the moment he 721 00:41:55,200 --> 00:41:58,440 Speaker 7: was worn in, accusing him of being a politically motivated 722 00:41:58,480 --> 00:42:01,640 Speaker 7: prosecutor trying to stop Trump from being re elected. 723 00:42:01,760 --> 00:42:04,920 Speaker 6: ABC News Chief Justice Correspondent Pierre Thomas. 724 00:42:05,719 --> 00:42:08,439 Speaker 4: Now the latest forecast from the Jake Sweeney Chevrolet Weather 725 00:42:08,480 --> 00:42:11,640 Speaker 4: Center Jake Sweeney Chevrolet Better for Less. 726 00:42:12,040 --> 00:42:14,960 Speaker 5: Heading to Friday morning, We're seeing clearing skies in a 727 00:42:15,000 --> 00:42:19,280 Speaker 5: morning low of sixteen. The rest of our Friday mostly sunny, cold, 728 00:42:19,360 --> 00:42:22,319 Speaker 5: a high at twenty one. At night, we're clouding back 729 00:42:22,400 --> 00:42:25,799 Speaker 5: up my low of fifteen. Then it's the major snowstorm 730 00:42:25,840 --> 00:42:28,560 Speaker 5: for the weekend. Still looking at six to ten inches 731 00:42:28,600 --> 00:42:32,600 Speaker 5: of snow from your severe weather station. I'm nine First Warning. 732 00:42:32,719 --> 00:42:38,320 Speaker 5: Chief Meteorologist Steve Rawleigh. News Radio seven hundred WLW. 733 00:42:38,400 --> 00:42:41,880 Speaker 6: Minneapolis continues to be the epicenter of news surrounding ice 734 00:42:41,920 --> 00:42:44,839 Speaker 6: and raids. The latest one involves a five year old 735 00:42:44,840 --> 00:42:48,440 Speaker 6: taken by federal agents along with his father, then shipped 736 00:42:48,440 --> 00:42:49,120 Speaker 6: to Texas. 737 00:42:49,239 --> 00:42:52,279 Speaker 1: School officials say five year old Liam, wearing his blue 738 00:42:52,320 --> 00:42:56,160 Speaker 1: hat and backpack, and his father, Adrian Alexander Conejo Arias, 739 00:42:56,320 --> 00:42:59,879 Speaker 1: had just pulled into their suburban Minneapolis driveway Tuesday when 740 00:43:00,040 --> 00:43:03,120 Speaker 1: agents took that father into custody. The school then saying 741 00:43:03,160 --> 00:43:05,919 Speaker 1: an agent essentially used a five year old as bait, 742 00:43:06,120 --> 00:43:08,680 Speaker 1: directing him to see if anyone else was home before 743 00:43:08,719 --> 00:43:11,520 Speaker 1: taking the boy away. The district saying Liam is among 744 00:43:11,719 --> 00:43:15,960 Speaker 1: four students recently detained, but DHS telling a different story, 745 00:43:16,120 --> 00:43:19,439 Speaker 1: saying ice did not target a child, claiming Liam's father 746 00:43:19,560 --> 00:43:23,160 Speaker 1: is an undocumented immigrant and fled on foot, abandoning his 747 00:43:23,280 --> 00:43:24,200 Speaker 1: son in the driveway. 748 00:43:24,280 --> 00:43:27,960 Speaker 6: ABC's Matt rivers a fourteen year old no longer facing 749 00:43:28,000 --> 00:43:30,919 Speaker 6: any charges involving the death of Brandon Lawrence and over 750 00:43:30,960 --> 00:43:33,960 Speaker 6: the Rhine. This happened in June at Liberty and Walnut 751 00:43:34,000 --> 00:43:37,480 Speaker 6: Streets near the Shell gas station. Prosecutors said four people 752 00:43:37,520 --> 00:43:40,400 Speaker 6: wearing masks got out of their vehicle and fired around 753 00:43:40,440 --> 00:43:43,560 Speaker 6: forty shots. The teenager was the only arrest reported by 754 00:43:43,560 --> 00:43:48,279 Speaker 6: Cincinni police on Wednesday. All charges were dismissed without prejudice, 755 00:43:48,520 --> 00:43:52,440 Speaker 6: meaning prosecutors can refile in the future. Hailing a county prosecutor, 756 00:43:52,480 --> 00:43:55,919 Speaker 6: Connie Pillage, said the evidence wasn't strong enough to move 757 00:43:55,960 --> 00:43:59,400 Speaker 6: forward in the case. Oak Hill's spring Mere Elementary is 758 00:43:59,440 --> 00:44:02,000 Speaker 6: closed to day due to ongoing plumbing issues on the 759 00:44:02,040 --> 00:44:04,840 Speaker 6: lower level of the building. It's the second straight day 760 00:44:04,960 --> 00:44:07,640 Speaker 6: for SES to be closed for the same issue oak 761 00:44:07,680 --> 00:44:11,360 Speaker 6: Kills mentioned in the Facebook posts. Classes will resume next week. 762 00:44:11,600 --> 00:44:14,720 Speaker 6: All over schools in the district will operate as normal 763 00:44:14,800 --> 00:44:20,560 Speaker 6: Today seven one hundred WLW Sports some changes to your 764 00:44:20,600 --> 00:44:23,600 Speaker 6: weekend sports. You see women at home against Arizona State 765 00:44:23,719 --> 00:44:26,800 Speaker 6: now at noon Saturday. Pregame out eleven forty five. 766 00:44:26,640 --> 00:44:27,320 Speaker 3: On Fox Sports. 767 00:44:27,360 --> 00:44:31,120 Speaker 6: Thirteen sixty Dover Kentucky men at Wright State now tipping 768 00:44:31,120 --> 00:44:33,560 Speaker 6: off at one o'clock in the afternoon. That should still 769 00:44:33,600 --> 00:44:37,200 Speaker 6: be on ESPN fifteen thirty. The NKU women against Purdue 770 00:44:37,200 --> 00:44:39,879 Speaker 6: Fort Wayne at home now at one o'clock. NKU Men's 771 00:44:39,960 --> 00:44:43,239 Speaker 6: volleyball at home against Wabash College now at noon. FC 772 00:44:43,360 --> 00:44:46,800 Speaker 6: Cincinnagulator today will have the first preseason match at Brandentton, 773 00:44:46,840 --> 00:44:50,680 Speaker 6: Florida's IMG Academy against the New England Revolution. The High 774 00:44:50,680 --> 00:44:53,840 Speaker 6: A Dayton Dragon's announcing their twenty twenty six coaching staff, 775 00:44:54,040 --> 00:44:58,160 Speaker 6: now led by manager Julio Morio, the thirteenth manager in 776 00:44:58,320 --> 00:45:02,320 Speaker 6: Dragon's history. Previous Mayor Vince Harrison Junior will coach another 777 00:45:02,360 --> 00:45:05,080 Speaker 6: team of the Farm System. Your accepted is at the 778 00:45:05,080 --> 00:45:08,000 Speaker 6: bottom of the hour. I'm Ley Mawen, News Radio seven 779 00:45:08,080 --> 00:45:09,319 Speaker 6: hundred WLW. 780 00:45:09,440 --> 00:45:11,920 Speaker 3: Running a business is hard enough. Don't make it harder 781 00:45:11,920 --> 00:45:13,920 Speaker 3: with dozens of apps that don't talk to each other. 782 00:45:14,239 --> 00:45:17,120 Speaker 3: One for sales, another for inventory, a separate one for 783 00:45:17,120 --> 00:45:17,480 Speaker 3: account