1 00:00:10,920 --> 00:00:13,760 Speaker 1: This is America's Trucking Network with Kevin Gordon. 2 00:00:15,640 --> 00:00:20,599 Speaker 2: Welcome aboard, thanks for tuning in on this Friday morning. Well, 3 00:00:20,840 --> 00:00:24,760 Speaker 2: as always on Thursday morning, we get the initial jobless 4 00:00:24,760 --> 00:00:29,600 Speaker 2: claims and quite honestly pretty interesting stuff, and digging into 5 00:00:29,640 --> 00:00:35,880 Speaker 2: the numbers are even more interesting. Surprisingly, the individual news 6 00:00:35,920 --> 00:00:38,880 Speaker 2: agencies that usually do the doom and gloom and whatever 7 00:00:38,920 --> 00:00:43,120 Speaker 2: their headlines were actually pretty decent. Bloomberg US jobless claims 8 00:00:43,240 --> 00:00:47,199 Speaker 2: edged higher to two hundred and twelve thousand holiday week 9 00:00:48,440 --> 00:00:52,320 Speaker 2: What the latest initial job is claims number show according 10 00:00:52,360 --> 00:00:56,480 Speaker 2: to Baton Rouge Business Report, and then initial job as 11 00:00:56,520 --> 00:01:02,600 Speaker 2: claims rise less than expected from view CNBC initial jobs 12 00:01:02,600 --> 00:01:05,640 Speaker 2: claims total two hundred and twelve thy lower than expected. 13 00:01:06,000 --> 00:01:08,120 Speaker 2: And then, of course, the story we're gonna be covering 14 00:01:08,120 --> 00:01:11,319 Speaker 2: here because it's pretty much a kind of an interesting article, 15 00:01:11,600 --> 00:01:14,000 Speaker 2: you know, the thing about Reuters and let me just 16 00:01:14,040 --> 00:01:17,520 Speaker 2: get to their headline, US weekly jobs claims rise slightly, 17 00:01:17,959 --> 00:01:22,679 Speaker 2: Unemployment rate likely unchanged in February writers. It tends to 18 00:01:22,720 --> 00:01:26,880 Speaker 2: be a bubble or two left of center. However, when 19 00:01:27,360 --> 00:01:31,959 Speaker 2: between CNBC and Reuters, if you dig into their stories, 20 00:01:32,319 --> 00:01:37,039 Speaker 2: they eventually commit journalism within the story Their headline may 21 00:01:37,080 --> 00:01:40,240 Speaker 2: not necessarily match what the story has to do, but 22 00:01:40,319 --> 00:01:43,240 Speaker 2: the information in there pretty much lays some of that 23 00:01:43,319 --> 00:01:44,199 Speaker 2: crap to rest. 24 00:01:44,360 --> 00:01:46,400 Speaker 3: So let's just dig into it, and so I'll show 25 00:01:46,400 --> 00:01:50,440 Speaker 3: you what I mean lot of here. 26 00:01:50,520 --> 00:01:54,000 Speaker 2: It says out of Washington, number of Americans filing new 27 00:01:54,080 --> 00:01:59,240 Speaker 2: job applications for jobs benefits increased slightly last week, with 28 00:01:59,320 --> 00:02:02,680 Speaker 2: the unemployment rate appeared to hold steady in February amid 29 00:02:03,560 --> 00:02:05,000 Speaker 2: stable labor market. 30 00:02:05,480 --> 00:02:08,000 Speaker 3: Now, very rarely do we see. 31 00:02:07,760 --> 00:02:10,720 Speaker 2: Any of the spoon federal urgitators in mainstream media refer 32 00:02:10,840 --> 00:02:15,200 Speaker 2: to that. Now, even lying Jerry Powell the last few weeks, 33 00:02:15,200 --> 00:02:18,400 Speaker 2: and even at the conference or the press conference right 34 00:02:18,440 --> 00:02:20,760 Speaker 2: after their decision that they were going to hold interest 35 00:02:20,840 --> 00:02:23,560 Speaker 2: rates steady there at the end of January, he talked 36 00:02:23,560 --> 00:02:26,800 Speaker 2: about a stable market, a labor market, and actually talked 37 00:02:26,800 --> 00:02:30,640 Speaker 2: about a stable labor market in the previous meeting. 38 00:02:30,960 --> 00:02:33,680 Speaker 3: So again, some of. 39 00:02:33,600 --> 00:02:35,359 Speaker 2: The stuff that they were worried about as far as 40 00:02:35,400 --> 00:02:39,079 Speaker 2: the economy is concerned, whether or not spike and unemployment 41 00:02:39,120 --> 00:02:41,400 Speaker 2: and all this sort of stuff as a result of 42 00:02:41,560 --> 00:02:45,520 Speaker 2: Liberation Day back on April to second just basically didn't 43 00:02:45,560 --> 00:02:48,840 Speaker 2: come to fruition weekly jobways claims. Report from the Labor 44 00:02:48,840 --> 00:02:51,840 Speaker 2: Department on Thursday suggests that the labor market remain in 45 00:02:51,919 --> 00:02:56,360 Speaker 2: a low, higher, low fire state. We've been talking about 46 00:02:56,360 --> 00:03:02,800 Speaker 2: this probably almost a year. Are now where the businesses 47 00:03:02,919 --> 00:03:07,960 Speaker 2: because of they call it uncertainty having to do with terrorists. 48 00:03:08,560 --> 00:03:12,120 Speaker 2: I call it uncertainty because of our interest rates are 49 00:03:12,160 --> 00:03:15,800 Speaker 2: too damn high. Because if you, again I keep stressing 50 00:03:15,840 --> 00:03:17,680 Speaker 2: the fact that if you look at our interest rates 51 00:03:17,680 --> 00:03:22,040 Speaker 2: compared to the civilized world or the Western world, in 52 00:03:22,120 --> 00:03:25,560 Speaker 2: terms of where their markets are, what the banks charge 53 00:03:25,600 --> 00:03:29,320 Speaker 2: each other for borrowing money and mortgage rates, we are 54 00:03:29,720 --> 00:03:35,160 Speaker 2: way to two percent two and a half percent higher 55 00:03:35,200 --> 00:03:38,960 Speaker 2: than where they are. So again, if businesses are looking 56 00:03:39,000 --> 00:03:42,120 Speaker 2: to expand, and they talk about this, every time they 57 00:03:42,160 --> 00:03:45,480 Speaker 2: talk about interest rates, there is usually kind of a 58 00:03:45,560 --> 00:03:49,040 Speaker 2: throwaway line that they use that, well, lower interest rates 59 00:03:49,200 --> 00:03:54,760 Speaker 2: spurs economic development. Well, if you're wanting economic development, if 60 00:03:54,760 --> 00:03:59,040 Speaker 2: you want low unemployment, if you want low unemployment, in 61 00:03:59,080 --> 00:04:02,880 Speaker 2: other words, if you want employment, if you want the 62 00:04:03,400 --> 00:04:06,800 Speaker 2: business to expand, if you want to keep prices down, 63 00:04:06,960 --> 00:04:11,160 Speaker 2: Because again, if people are buying a lot of stuff, 64 00:04:11,200 --> 00:04:14,520 Speaker 2: a lot of stuff is going to have to be produced, manufactured, 65 00:04:14,640 --> 00:04:18,120 Speaker 2: et cetera. And the more items that are produced through 66 00:04:18,200 --> 00:04:23,440 Speaker 2: a particular organization, factory, et cetera, you got more volume 67 00:04:23,520 --> 00:04:27,040 Speaker 2: going through there, so the cost per piece comes down, 68 00:04:27,520 --> 00:04:30,800 Speaker 2: and so then the prices start coming down. So this 69 00:04:30,920 --> 00:04:35,400 Speaker 2: business of holding you know, back the economy, it's I 70 00:04:35,480 --> 00:04:39,279 Speaker 2: keep saying it's It's like lion Jerry Palells is sitting 71 00:04:39,279 --> 00:04:41,760 Speaker 2: there with a race horse that's ready to win the 72 00:04:41,839 --> 00:04:45,159 Speaker 2: Kentucky Derby, and I guess he's I guess he's gonna 73 00:04:46,640 --> 00:04:49,360 Speaker 2: content with that horse, you know, pulling it back as 74 00:04:49,360 --> 00:04:51,560 Speaker 2: you know, you don't want to show up the other courses, 75 00:04:51,760 --> 00:04:53,680 Speaker 2: so you pull back to the back of the pack, 76 00:04:53,800 --> 00:04:57,599 Speaker 2: so you finish, you know, out of place. It's just 77 00:04:58,160 --> 00:05:00,520 Speaker 2: the holding back the reins is the thing that I 78 00:05:00,680 --> 00:05:04,320 Speaker 2: just don't quite understand in terms of what's going on. Now, 79 00:05:04,720 --> 00:05:07,440 Speaker 2: let's see we get job's claims remain low, higher, no 80 00:05:07,600 --> 00:05:12,720 Speaker 2: fire state, and supported economics, expectations that the Federal Reserve 81 00:05:12,760 --> 00:05:16,880 Speaker 2: would not cut interest rates before Lion Jerry Powell's term ends. 82 00:05:16,920 --> 00:05:18,920 Speaker 2: Now I threw in the lion Jerry Powell did a 83 00:05:18,920 --> 00:05:24,000 Speaker 2: little editorialism there. The labor market is regaining its footing 84 00:05:24,120 --> 00:05:28,680 Speaker 2: after hitting a soft patch last year. Amid uncertainty economists 85 00:05:28,680 --> 00:05:34,760 Speaker 2: attributed to President Donald Trump's broad tariffs now this soft patch, 86 00:05:34,960 --> 00:05:37,560 Speaker 2: so to speak. What were the interest rates back then? 87 00:05:37,839 --> 00:05:40,200 Speaker 2: They were a full percentage point higher than what they 88 00:05:40,200 --> 00:05:40,760 Speaker 2: are now. 89 00:05:41,200 --> 00:05:45,760 Speaker 3: And yet the uncertainty as far as the tariffs are concerned, that. 90 00:05:45,760 --> 00:05:49,280 Speaker 2: Was and it's still there. The tariffs are still on there. 91 00:05:49,400 --> 00:05:54,080 Speaker 2: So why would it be uncertain back then? And certain now? 92 00:05:55,080 --> 00:05:58,760 Speaker 2: All along from late Liberation day to the president I've 93 00:05:58,800 --> 00:06:01,719 Speaker 2: talked about going back back to the time in economics 94 00:06:01,720 --> 00:06:06,720 Speaker 2: class where it says that tariffs don't necessarily increase in inflation, 95 00:06:07,200 --> 00:06:09,640 Speaker 2: that certain prices go up, but certain. 96 00:06:09,440 --> 00:06:10,480 Speaker 3: Prices go down. 97 00:06:10,760 --> 00:06:14,440 Speaker 2: The main driver of inflation is out of control government spending. 98 00:06:14,800 --> 00:06:17,000 Speaker 2: We are in the process of trying to control that. 99 00:06:17,279 --> 00:06:20,599 Speaker 2: But of course every time something gets a minor cut 100 00:06:20,680 --> 00:06:23,000 Speaker 2: or a minor pullback, they want to scream and yell 101 00:06:23,040 --> 00:06:26,400 Speaker 2: that we're trying to kill people. And again, when Washington 102 00:06:26,520 --> 00:06:30,000 Speaker 2: does their budget, all right, and I've to reiterate this, 103 00:06:30,760 --> 00:06:33,440 Speaker 2: they generally factor in about a three to four percent 104 00:06:33,600 --> 00:06:38,839 Speaker 2: increase every year, and if you just hold the prices 105 00:06:38,880 --> 00:06:42,520 Speaker 2: steady at where it was, they call it a cut. 106 00:06:42,880 --> 00:06:47,920 Speaker 2: They say you're cutting the money going to that particular program, 107 00:06:48,440 --> 00:06:51,159 Speaker 2: when in fact, all you're doing is holding the costs 108 00:06:51,240 --> 00:06:55,120 Speaker 2: the same. But it's the way the government twists the 109 00:06:55,200 --> 00:06:59,800 Speaker 2: terminology when it comes to what is considered a cut. 110 00:07:00,000 --> 00:07:03,760 Speaker 2: You know, it's a decrease in the increase of the spending, 111 00:07:04,240 --> 00:07:07,240 Speaker 2: but it is certainly not a cut from what was 112 00:07:07,279 --> 00:07:10,800 Speaker 2: spent the previous year. And I give the analogy that 113 00:07:10,920 --> 00:07:15,240 Speaker 2: if if you get a three percent raise and you 114 00:07:15,440 --> 00:07:19,280 Speaker 2: expect a five percent raise, you didn't get a two 115 00:07:19,280 --> 00:07:22,960 Speaker 2: percent pay cut. You got a three percent increase. It 116 00:07:23,000 --> 00:07:25,640 Speaker 2: may not be as much as you want, but it's 117 00:07:25,640 --> 00:07:28,720 Speaker 2: still not a cut in your base pay. And this 118 00:07:28,800 --> 00:07:31,480 Speaker 2: is the craziness that goes on in Washington. And you've 119 00:07:31,480 --> 00:07:34,280 Speaker 2: got to listen to what the spoon fed regurgitators in 120 00:07:34,360 --> 00:07:37,640 Speaker 2: the mainstream media say and then read between the lines. 121 00:07:38,000 --> 00:07:42,600 Speaker 2: And it's unfortunate that they report things this way where 122 00:07:42,640 --> 00:07:44,480 Speaker 2: you have to go to an extra step to try 123 00:07:44,480 --> 00:07:47,200 Speaker 2: to understand what they're talking about. But again, when they're 124 00:07:47,200 --> 00:07:50,679 Speaker 2: talking about uncertainty, the uncertainty hasn't changed much. In fact, 125 00:07:50,840 --> 00:07:54,520 Speaker 2: we've got better trade relationships with the various countries than 126 00:07:54,560 --> 00:07:57,239 Speaker 2: we had before, and things are moving in the right direction. 127 00:07:57,600 --> 00:08:02,760 Speaker 2: So if anything, it's like people have realized that the 128 00:08:03,240 --> 00:08:07,040 Speaker 2: Trump administration and his team are working for the American 129 00:08:07,120 --> 00:08:10,720 Speaker 2: people to try to make sure that businesses increase, that 130 00:08:10,760 --> 00:08:15,240 Speaker 2: we have better increase of flow, fair trade versus free trade, 131 00:08:15,600 --> 00:08:19,000 Speaker 2: and things will shake out in the long run. According 132 00:08:19,040 --> 00:08:21,920 Speaker 2: to Carl Weinberg, chief economists at Free or at High 133 00:08:21,960 --> 00:08:25,680 Speaker 2: Frequency Economics, the data show no sign of the layoffs 134 00:08:25,840 --> 00:08:28,920 Speaker 2: we would expect in a weakening labor market during the 135 00:08:28,960 --> 00:08:35,160 Speaker 2: early days of a hypothetical recession. A hypothetical recession where 136 00:08:35,200 --> 00:08:38,440 Speaker 2: in the hell, you know, all during the period of 137 00:08:38,480 --> 00:08:44,120 Speaker 2: time during the previous four years before Trump took office, 138 00:08:44,360 --> 00:08:47,720 Speaker 2: inflation in one month was up nine point one percent. 139 00:08:48,280 --> 00:08:51,280 Speaker 2: We had high interest rates being charged at that time, 140 00:08:51,679 --> 00:08:55,800 Speaker 2: We had a lot of uncertainty there in terms of 141 00:08:56,080 --> 00:08:58,959 Speaker 2: whether or not the prices were ever going to come down, 142 00:08:59,240 --> 00:09:02,080 Speaker 2: and we had the reserve raising interest rates trying to 143 00:09:02,120 --> 00:09:05,920 Speaker 2: hold back expansion, and which would have thrown us into 144 00:09:06,000 --> 00:09:08,800 Speaker 2: a recession if they had done too much. But again, 145 00:09:09,840 --> 00:09:13,240 Speaker 2: you can't consider that they were on an economic upturn 146 00:09:13,320 --> 00:09:16,199 Speaker 2: during that period time versus now and all of a sudden, 147 00:09:16,360 --> 00:09:22,240 Speaker 2: Carl Weinberg is talking about of a hypothetical recession that 148 00:09:22,320 --> 00:09:25,800 Speaker 2: will jolly up traders who believe the FED will not 149 00:09:25,960 --> 00:09:30,720 Speaker 2: cut interest rates anytime soon given a steady labor market 150 00:09:30,840 --> 00:09:34,200 Speaker 2: and inflation above the target. 151 00:09:33,960 --> 00:09:34,760 Speaker 3: Of two percent. 152 00:09:35,360 --> 00:09:38,200 Speaker 2: Again, I'm not quite sure where he's coming from talking 153 00:09:38,200 --> 00:09:43,720 Speaker 2: about days of hypothetical recession. And again, let's not forget 154 00:09:44,080 --> 00:09:47,440 Speaker 2: these announcements of some of these job cuts that are 155 00:09:47,440 --> 00:09:49,920 Speaker 2: supposed to be out there. Why aren't they in the numbers. 156 00:09:50,600 --> 00:09:53,400 Speaker 2: We'll pick that up. I'm Kevin Gordon, America's truck In Network, 157 00:09:53,559 --> 00:10:00,480 Speaker 2: seven hundred WLW. I'm Kevin Gordon, America's Trucking Network, seven 158 00:10:00,600 --> 00:10:05,080 Speaker 2: hundred WLW. Ty you in the previous segment about this 159 00:10:05,360 --> 00:10:09,720 Speaker 2: job weekly jobs claims and so on, And remember, we 160 00:10:09,880 --> 00:10:14,439 Speaker 2: keep hearing that, Okay, this company's gonna tech firm or 161 00:10:14,480 --> 00:10:18,320 Speaker 2: whoever is going to lay off ten thousand people. Somebody 162 00:10:18,320 --> 00:10:20,400 Speaker 2: else is going to lay off X number of people. 163 00:10:21,200 --> 00:10:24,959 Speaker 2: And yet we see in the initial jobless claims a 164 00:10:25,000 --> 00:10:29,680 Speaker 2: minor increase, a slight increase of five thousand or four 165 00:10:29,760 --> 00:10:30,920 Speaker 2: thousand from. 166 00:10:30,679 --> 00:10:31,560 Speaker 3: The previous week. 167 00:10:32,040 --> 00:10:35,760 Speaker 2: We talked about a few months ago where this whole 168 00:10:35,880 --> 00:10:42,640 Speaker 2: concept of ghost unemployment, where a company announces that they're 169 00:10:42,679 --> 00:10:47,640 Speaker 2: going to do major layoffs to prop up their stock. 170 00:10:48,200 --> 00:10:51,480 Speaker 2: That the shareholders then look at that and say, wow, 171 00:10:51,600 --> 00:10:53,040 Speaker 2: they're trying to get their house in order. 172 00:10:53,040 --> 00:10:54,839 Speaker 3: They're trying to be good stewards of our money. 173 00:10:55,000 --> 00:10:57,280 Speaker 2: We'll invest money in that and drive up their stock, 174 00:10:57,760 --> 00:11:01,960 Speaker 2: where in effect, they aren't really laying anybody off. They're 175 00:11:02,120 --> 00:11:05,880 Speaker 2: just making the comment to seem as though that they are. 176 00:11:06,559 --> 00:11:10,120 Speaker 2: And in a lot of instances, if they do like 177 00:11:10,240 --> 00:11:14,000 Speaker 2: close a division or ramp back a division, they shift 178 00:11:14,040 --> 00:11:17,720 Speaker 2: those employees into a different division, and maybe they can 179 00:11:17,800 --> 00:11:20,880 Speaker 2: consider that, well a job cut over here, but in 180 00:11:20,880 --> 00:11:23,560 Speaker 2: reality they have the same number of employees throughout the 181 00:11:23,679 --> 00:11:27,120 Speaker 2: entire company, so they really refer to that as as 182 00:11:27,320 --> 00:11:33,920 Speaker 2: ghost or well basically ghost layoffs, which in effect haven't happened. 183 00:11:34,080 --> 00:11:37,240 Speaker 2: So anyway, you got to take that into consideration when 184 00:11:37,240 --> 00:11:39,040 Speaker 2: you hear these companies saying they're going to have certain 185 00:11:39,120 --> 00:11:41,960 Speaker 2: number of layoffs. Initial job of claims for state employment 186 00:11:42,160 --> 00:11:45,959 Speaker 2: benefits rose four thousand to a seasonally adjusted two hundred 187 00:11:45,960 --> 00:11:48,760 Speaker 2: and twelve thousand for the weekend in February. The twenty 188 00:11:48,800 --> 00:11:52,320 Speaker 2: first economists polled by Ruyters had forecast two hundred and 189 00:11:52,400 --> 00:11:55,800 Speaker 2: fifteen thousand, so they were a little bit more pessimistic, 190 00:11:56,080 --> 00:11:58,840 Speaker 2: came in three thousand, less than what they had anticipated 191 00:11:59,040 --> 00:12:03,440 Speaker 2: for the latest week. Java's claims included the President's Day holiday, 192 00:12:03,600 --> 00:12:06,560 Speaker 2: which could have impacted the data. Anytime you have a 193 00:12:06,640 --> 00:12:11,840 Speaker 2: holiday for some reason, that impacts the unemployment numbers. I 194 00:12:11,880 --> 00:12:14,560 Speaker 2: guess there are certain hourly well, I guess if you 195 00:12:14,640 --> 00:12:20,199 Speaker 2: have a basic county or hourly employee, if they're off 196 00:12:20,280 --> 00:12:23,800 Speaker 2: that day. It's not like a salaried employee that gets money, 197 00:12:23,960 --> 00:12:25,920 Speaker 2: So I guess they're off that day. But how would 198 00:12:26,000 --> 00:12:29,280 Speaker 2: that be considered unemployment? You just have the day off. 199 00:12:30,960 --> 00:12:33,959 Speaker 2: How they figure that, I'm gonna have to delve into. Now, 200 00:12:34,000 --> 00:12:37,280 Speaker 2: get this. Still claims were below the level seen during 201 00:12:37,280 --> 00:12:38,640 Speaker 2: the same period last year. 202 00:12:39,160 --> 00:12:40,600 Speaker 3: The Supreme Court last week. 203 00:12:40,640 --> 00:12:43,920 Speaker 2: Okay, that was an important line, and they just kind 204 00:12:43,920 --> 00:12:46,280 Speaker 2: of threw it in there and just kind of moved along. 205 00:12:46,440 --> 00:12:50,360 Speaker 2: It was, you know, a drive a drive by explanation. 206 00:12:51,080 --> 00:12:54,800 Speaker 2: Still claims were below the levels seen during this time 207 00:12:55,080 --> 00:12:59,640 Speaker 2: last this same period last year. Now, this is interesting 208 00:12:59,720 --> 00:13:02,520 Speaker 2: because I went online and I said, okay, what was 209 00:13:02,559 --> 00:13:06,559 Speaker 2: the unemployment rate for the last week of February of 210 00:13:06,640 --> 00:13:10,320 Speaker 2: twenty twenty five, And it took like four or five 211 00:13:10,360 --> 00:13:13,280 Speaker 2: different searches trying to say it different ways, and finally 212 00:13:13,320 --> 00:13:15,600 Speaker 2: I said, you know what, I'm just going to rely 213 00:13:15,760 --> 00:13:20,240 Speaker 2: on Instead of the artificial intelligence or Google or whatever, 214 00:13:20,520 --> 00:13:23,840 Speaker 2: I'm going to rely on Kevin intelligence. And because I 215 00:13:23,920 --> 00:13:26,000 Speaker 2: keep a lot of these stories so I can keep 216 00:13:26,040 --> 00:13:28,760 Speaker 2: track of what's going on, I went to my files 217 00:13:28,800 --> 00:13:31,520 Speaker 2: and I pulled it out, and lo and behold, the 218 00:13:31,960 --> 00:13:35,480 Speaker 2: initial job was claims this time last year were two 219 00:13:35,600 --> 00:13:39,720 Speaker 2: hundred and forty two thousand. I would say that the 220 00:13:39,800 --> 00:13:44,400 Speaker 2: term here should be still claims were well below the 221 00:13:44,520 --> 00:13:48,439 Speaker 2: level seen during the same period last year, extremely less 222 00:13:48,480 --> 00:13:51,960 Speaker 2: than the numbers from last year that at two hundred 223 00:13:51,960 --> 00:13:53,959 Speaker 2: and forty two thousand, and we're down at two hundred 224 00:13:53,960 --> 00:13:57,600 Speaker 2: and twelve thousand. That is quite frankly, well, do the 225 00:13:57,640 --> 00:14:00,840 Speaker 2: math on. It's a thirteen percent decrease from what it 226 00:14:00,960 --> 00:14:04,400 Speaker 2: was last year by any stretch of the imagination, by 227 00:14:04,440 --> 00:14:08,040 Speaker 2: any metric that is considered good. All right, So now 228 00:14:08,040 --> 00:14:09,920 Speaker 2: we'll put that on to sing And I can't believe 229 00:14:10,040 --> 00:14:12,839 Speaker 2: this is how they did it. Still claims were below 230 00:14:12,880 --> 00:14:15,440 Speaker 2: the level seen during the same period last year. They 231 00:14:15,480 --> 00:14:18,000 Speaker 2: don't even change the paragraph. They just go to the 232 00:14:18,000 --> 00:14:21,160 Speaker 2: next sentence. US Supreme court last Friday struck down the 233 00:14:21,200 --> 00:14:23,880 Speaker 2: terraffs which Trump pursued under the law meant to be 234 00:14:24,000 --> 00:14:28,000 Speaker 2: used for national emergency. I just you know, they do 235 00:14:28,120 --> 00:14:30,640 Speaker 2: commit journalism in here, but you got to, you know, 236 00:14:30,720 --> 00:14:34,960 Speaker 2: kind of pay attention anyway, the let me see, Trump 237 00:14:35,240 --> 00:14:38,400 Speaker 2: uh pursued the tariffs under the law meant to be 238 00:14:38,520 --> 00:14:41,480 Speaker 2: used for national emergencies. Well, you know, if your economy 239 00:14:41,520 --> 00:14:45,400 Speaker 2: is suffering and you are trying to build the economy 240 00:14:45,520 --> 00:14:49,160 Speaker 2: and these companies are taking advantage of you, and you 241 00:14:49,840 --> 00:14:53,280 Speaker 2: are trying to again stimulate the economy, make sure you 242 00:14:53,280 --> 00:14:56,280 Speaker 2: don't go into recession, that you try to raise wages 243 00:14:56,320 --> 00:14:59,040 Speaker 2: for your employees or for the employees of the country. 244 00:14:59,560 --> 00:15:02,280 Speaker 2: And if you're trying to make sure that there are 245 00:15:02,280 --> 00:15:06,600 Speaker 2: no effects from supply chain issues having to do with 246 00:15:06,840 --> 00:15:09,800 Speaker 2: when you're trading with a country that doesn't like you, 247 00:15:11,680 --> 00:15:13,480 Speaker 2: may be a little bit better to make sure that 248 00:15:13,520 --> 00:15:17,000 Speaker 2: those jobs are here. And we experience that back during 249 00:15:17,000 --> 00:15:20,160 Speaker 2: the pandemic when we realized how much of our medicine, 250 00:15:20,320 --> 00:15:24,560 Speaker 2: how much of those personal protective equipment was being manufactured 251 00:15:24,800 --> 00:15:27,800 Speaker 2: and produced over in China, and we had shortages here. 252 00:15:29,120 --> 00:15:31,440 Speaker 2: And again when you look at all the stuff that's 253 00:15:31,480 --> 00:15:34,080 Speaker 2: coming out of China, and they're an enemy of ours, 254 00:15:34,080 --> 00:15:37,160 Speaker 2: they're not a friend. And so to bring that stuff 255 00:15:37,240 --> 00:15:39,760 Speaker 2: back you have to do certain things. And when you 256 00:15:39,800 --> 00:15:42,760 Speaker 2: look at our teriffs that we charge on products coming 257 00:15:42,760 --> 00:15:45,680 Speaker 2: in here versus what they charge on our products going 258 00:15:45,720 --> 00:15:49,720 Speaker 2: over there and all the different countries, reciprocal tariffs is 259 00:15:49,760 --> 00:15:52,320 Speaker 2: what it's all about. And yes, in the case of 260 00:15:52,640 --> 00:15:55,640 Speaker 2: trying to build up your economy from teetering on the 261 00:15:55,800 --> 00:15:58,840 Speaker 2: edge of recession after the end of the Biden administration, 262 00:15:59,160 --> 00:16:03,800 Speaker 2: hell yes, it's national emergency in my opinion. So again 263 00:16:03,840 --> 00:16:06,520 Speaker 2: I think the Supreme Court got that wrong. But there 264 00:16:06,520 --> 00:16:09,680 Speaker 2: are other levers, and as they talked about in their opinion, well, 265 00:16:09,720 --> 00:16:11,080 Speaker 2: you know, if you would have gone this way or 266 00:16:11,120 --> 00:16:13,320 Speaker 2: if you would have gone this way, pretty much suggesting 267 00:16:13,360 --> 00:16:15,800 Speaker 2: to him what law he should be using in order 268 00:16:15,880 --> 00:16:19,840 Speaker 2: to keep these tariffs in place. So I don't know, 269 00:16:20,040 --> 00:16:24,720 Speaker 2: and there's no there's no method in that opinion that 270 00:16:24,800 --> 00:16:28,280 Speaker 2: would tell or would describe how if any of these 271 00:16:28,320 --> 00:16:30,960 Speaker 2: tariffs are supposed to be returned. Now there are some 272 00:16:31,080 --> 00:16:34,280 Speaker 2: lawsuits that are coming about from companies trying to collect 273 00:16:34,320 --> 00:16:36,960 Speaker 2: that money back from the United States. Good luck with that, 274 00:16:37,440 --> 00:16:42,080 Speaker 2: because again if you can take Obamacare and call it 275 00:16:42,440 --> 00:16:48,400 Speaker 2: a fee all during the testimony, all during the various trials, 276 00:16:48,600 --> 00:16:50,840 Speaker 2: and then you get to the Supreme Court and suddenly 277 00:16:50,880 --> 00:16:53,280 Speaker 2: you say, oh, you don't like it being called You 278 00:16:53,320 --> 00:16:55,760 Speaker 2: say that you would you would be okay with this 279 00:16:55,880 --> 00:16:59,360 Speaker 2: if we called it a tax and being called at fee, 280 00:16:59,560 --> 00:17:00,560 Speaker 2: you're not favor that. 281 00:17:00,600 --> 00:17:01,840 Speaker 3: Okay, Well we'll just call it. 282 00:17:01,800 --> 00:17:05,040 Speaker 2: A tax so in this instance, and okay, instead of 283 00:17:05,040 --> 00:17:09,159 Speaker 2: going under this particular law, we'll just retroactively say that 284 00:17:09,280 --> 00:17:13,239 Speaker 2: we actually enforce this other law at the beginning of 285 00:17:13,480 --> 00:17:15,840 Speaker 2: you know, Liberation Day back on April the second, So 286 00:17:16,000 --> 00:17:18,440 Speaker 2: again you get the same benefit from that. I don't 287 00:17:18,480 --> 00:17:20,840 Speaker 2: know if that'll work, but that's kind of a suggestion. 288 00:17:21,720 --> 00:17:26,240 Speaker 2: Let's see the national emergency. Trump swiftly imposed ten percent 289 00:17:26,320 --> 00:17:29,880 Speaker 2: global teriffs after the Supreme Court decision, a global ten 290 00:17:29,920 --> 00:17:32,720 Speaker 2: percent tariff for one hundred and fifty days to replace 291 00:17:32,720 --> 00:17:35,359 Speaker 2: some of the emergency duties, before raising the rate of 292 00:17:35,359 --> 00:17:38,879 Speaker 2: fifteen percent over the weekend. Economist said the latest moves 293 00:17:39,040 --> 00:17:45,320 Speaker 2: created near term uncertainty but anticipated minimal economic impact. 294 00:17:45,640 --> 00:17:46,720 Speaker 3: So if you. 295 00:17:46,760 --> 00:17:51,480 Speaker 2: Say that, all right, under the emergency program, where we 296 00:17:51,480 --> 00:17:56,080 Speaker 2: were charging fifteen percent and Okay, that goes away, but 297 00:17:56,119 --> 00:17:59,639 Speaker 2: we're now charging ten percent. Nothing has really changed and 298 00:17:59,720 --> 00:18:03,399 Speaker 2: so the amount is the same and very little economic impact, 299 00:18:03,480 --> 00:18:07,880 Speaker 2: which is again in a situation here they're actually committing journalism. 300 00:18:08,200 --> 00:18:08,560 Speaker 3: Lingering. 301 00:18:08,640 --> 00:18:12,760 Speaker 2: Uncertainty from the sense invalidated import duties was blamed for 302 00:18:12,840 --> 00:18:16,800 Speaker 2: a general hesitancy among businesses to increase hiring. That is 303 00:18:16,840 --> 00:18:20,040 Speaker 2: a BS line. The thing that's holding people back is 304 00:18:20,080 --> 00:18:23,720 Speaker 2: the uncertainty in terms of our interest rates. If you're 305 00:18:23,720 --> 00:18:25,960 Speaker 2: looking to add a truck, you've got to figure in 306 00:18:26,080 --> 00:18:27,679 Speaker 2: what the cost of that truck is going to be 307 00:18:27,760 --> 00:18:30,280 Speaker 2: plus the interest gap to pay on that. As far 308 00:18:30,320 --> 00:18:33,480 Speaker 2: as building a factory or increasing a factory, or expanding 309 00:18:33,480 --> 00:18:35,760 Speaker 2: a factory, building a new or buying a new piece 310 00:18:35,800 --> 00:18:38,320 Speaker 2: of equipment, you have to factor that all into place. 311 00:18:38,560 --> 00:18:41,720 Speaker 2: And if your interest rates are higher. And what we 312 00:18:41,760 --> 00:18:45,160 Speaker 2: saw what a week or so ago that as far 313 00:18:45,200 --> 00:18:49,240 Speaker 2: as the National Federation of Independent Businesses, they were saying 314 00:18:49,280 --> 00:18:52,000 Speaker 2: that in their short term borrowing, what they were doing 315 00:18:52,440 --> 00:18:55,000 Speaker 2: is that they were paying interest rates of a nine 316 00:18:55,080 --> 00:19:00,480 Speaker 2: percent or more. Again, that is outrageous, and if you're 317 00:19:00,760 --> 00:19:04,200 Speaker 2: looking to expand, you have to factor in the interest 318 00:19:04,280 --> 00:19:06,680 Speaker 2: rate As a result of that, and you may pull 319 00:19:06,760 --> 00:19:10,800 Speaker 2: back in that regard, not in this Let's see stocks 320 00:19:10,800 --> 00:19:13,680 Speaker 2: on Wall Street were kind of hesitant. 321 00:19:13,920 --> 00:19:15,520 Speaker 3: They were just kind of bouncing around a little bit. 322 00:19:15,800 --> 00:19:18,880 Speaker 2: The low hiring rate is still the most concerning aspect 323 00:19:18,960 --> 00:19:22,280 Speaker 2: of the labor market. This is according to Nancy Van 324 00:19:22,359 --> 00:19:26,159 Speaker 2: den Houton, head of the ear lead US economists at 325 00:19:26,200 --> 00:19:30,160 Speaker 2: Oxford Economics. The low hiring rate is still the most 326 00:19:30,160 --> 00:19:33,320 Speaker 2: concerning aspect of the labor market, but the trend in 327 00:19:34,000 --> 00:19:39,760 Speaker 2: The trend in continued claims suggests employers aren't pulling back further, 328 00:19:40,080 --> 00:19:43,560 Speaker 2: which again is good news. There's a couple other pieces 329 00:19:43,600 --> 00:19:45,560 Speaker 2: in here that we need to talk about. I'm Kevin Gordon, 330 00:19:45,560 --> 00:19:48,760 Speaker 2: America struck In Network seven hundred WLW. 331 00:19:56,560 --> 00:19:58,960 Speaker 1: Here's your trucking forecast for the Tri State and the 332 00:19:58,960 --> 00:20:02,000 Speaker 1: rest of the country. The Tri State overnight mostly clear skies, 333 00:20:02,040 --> 00:20:04,760 Speaker 1: the low down to thirty one for both Friday and Saturday, 334 00:20:04,760 --> 00:20:07,960 Speaker 1: sunny skies, the high year sixty both days, partly sunny 335 00:20:08,000 --> 00:20:11,520 Speaker 1: and colder for Sunday a high of forty two. Nationally, 336 00:20:11,600 --> 00:20:14,600 Speaker 1: the South seen daily showers and storms, while a clipper 337 00:20:14,640 --> 00:20:17,760 Speaker 1: system brings modest snowfall on the northern high plains. And 338 00:20:17,760 --> 00:20:20,920 Speaker 1: into the Upper Midwest by this weekend. Meanwhile, warm temperatures 339 00:20:20,920 --> 00:20:23,360 Speaker 1: and dry conditions seen for much of the country. 340 00:20:26,000 --> 00:20:28,920 Speaker 2: Seven hundred wlw IM Kevin Gordon. 341 00:20:28,960 --> 00:20:30,440 Speaker 3: This as America's struck In Network. 342 00:20:30,960 --> 00:20:33,320 Speaker 2: Previous a couple of segments we're going through this initial 343 00:20:33,400 --> 00:20:35,000 Speaker 2: job was claims and some of the stuff that they're 344 00:20:35,040 --> 00:20:36,879 Speaker 2: talking about as far as the economy, and kind of 345 00:20:36,880 --> 00:20:40,680 Speaker 2: putting those things in perspective, not only on a historical basis, 346 00:20:40,720 --> 00:20:44,000 Speaker 2: but in terms of what they are going forward, in 347 00:20:44,080 --> 00:20:47,240 Speaker 2: terms of what we've known, what we know has happened 348 00:20:47,240 --> 00:20:51,000 Speaker 2: since April the second, and the things that they predicted that. 349 00:20:51,080 --> 00:20:53,560 Speaker 3: Were going to happen haven't happened. 350 00:20:53,800 --> 00:20:56,480 Speaker 2: So it's a pretty good likelihood that it's not going 351 00:20:56,520 --> 00:21:00,159 Speaker 2: to happen because everything that they predicted didn't happen. And 352 00:21:00,240 --> 00:21:06,080 Speaker 2: so again, but to finish up this unemployment number, and again, 353 00:21:06,080 --> 00:21:08,600 Speaker 2: if you missed our previous segments or any of our shows, 354 00:21:08,760 --> 00:21:10,800 Speaker 2: make sure you hit up that iHeartRadio app brought to 355 00:21:10,800 --> 00:21:13,600 Speaker 2: you by our friends at Rush Truck Centers. The number 356 00:21:13,640 --> 00:21:17,119 Speaker 2: of people receiving unemployment benefits after the initial week of 357 00:21:17,320 --> 00:21:22,439 Speaker 2: aid for a proxy for hiring dropped thirty one thousand 358 00:21:22,520 --> 00:21:25,240 Speaker 2: to a seasonally adjusted one point eight three to three 359 00:21:25,400 --> 00:21:29,840 Speaker 2: million during the week end in February fourteenth. The claims 360 00:21:29,880 --> 00:21:35,320 Speaker 2: reported show the so called continuing claims. And again, this 361 00:21:35,400 --> 00:21:38,320 Speaker 2: is the thing I've been I've railed about earlier in 362 00:21:38,359 --> 00:21:41,720 Speaker 2: the week. You have a term, you have a term 363 00:21:42,040 --> 00:21:46,200 Speaker 2: that is used and it is a specific term in 364 00:21:46,400 --> 00:21:50,560 Speaker 2: economics or in terms of language, and why they feel 365 00:21:50,600 --> 00:21:55,440 Speaker 2: the need to put in so called continuing claims, all right, 366 00:21:55,800 --> 00:22:00,720 Speaker 2: so called continuing claims. All right, somebody files for unemployment 367 00:22:01,320 --> 00:22:05,040 Speaker 2: in a particular week, that is an initial jobless claim. 368 00:22:06,400 --> 00:22:11,119 Speaker 2: If the following week they make another claim or re 369 00:22:11,359 --> 00:22:15,639 Speaker 2: up their claim, that is a continuing claim. So it 370 00:22:15,760 --> 00:22:20,080 Speaker 2: is not a so called continuing claim. It is a 371 00:22:20,560 --> 00:22:23,840 Speaker 2: continuing claim. This almost reminds me of I don't know 372 00:22:23,840 --> 00:22:26,280 Speaker 2: if you remember back in if you'd had it back 373 00:22:26,280 --> 00:22:30,680 Speaker 2: in school, where you would get these five hundred these 374 00:22:30,720 --> 00:22:33,760 Speaker 2: five hundred word essays that you're supposed to write, and 375 00:22:33,840 --> 00:22:35,760 Speaker 2: it was kind of funny seeing how some of the 376 00:22:35,760 --> 00:22:39,720 Speaker 2: people would approach that and they'd throw different words in 377 00:22:39,760 --> 00:22:46,200 Speaker 2: there or expand words and you know, just add like 378 00:22:46,240 --> 00:22:49,600 Speaker 2: and said, well, in this particular incident, it was really really, 379 00:22:49,720 --> 00:22:51,760 Speaker 2: really good. So there you have three words, and now 380 00:22:51,800 --> 00:22:53,680 Speaker 2: you don't have to worry about that in your five 381 00:22:53,760 --> 00:22:56,840 Speaker 2: hundred words, and so you would put extra words in 382 00:22:56,880 --> 00:22:59,760 Speaker 2: there that you could really use a shortened sentence in 383 00:22:59,840 --> 00:23:02,840 Speaker 2: order to say the same thing. This whole idea so 384 00:23:03,040 --> 00:23:08,120 Speaker 2: called continuing claims. They are continuing claims covered the period 385 00:23:08,200 --> 00:23:12,479 Speaker 2: during the government surveyed households for February. Continuing claims arose 386 00:23:12,520 --> 00:23:15,679 Speaker 2: modestly between the January and February survey eight weeks. The 387 00:23:15,920 --> 00:23:19,480 Speaker 2: jobless rates ease to four point three percent in January 388 00:23:19,720 --> 00:23:22,640 Speaker 2: from four point four percent, because that four point four 389 00:23:22,680 --> 00:23:25,479 Speaker 2: percent number that was thrown out in December at the 390 00:23:25,600 --> 00:23:29,359 Speaker 2: end of well, the government shutdown had ended, what was it, 391 00:23:29,480 --> 00:23:33,639 Speaker 2: November twelfth, and the findings and the numbers and the 392 00:23:33,920 --> 00:23:36,680 Speaker 2: gathering of the numbers was kind of thrown off as 393 00:23:36,680 --> 00:23:39,159 Speaker 2: far as the federal government is. And I said that 394 00:23:39,280 --> 00:23:41,760 Speaker 2: that time, that four point four was a bunch of 395 00:23:41,760 --> 00:23:44,920 Speaker 2: crap because the initial jobless claims and all that hadn't 396 00:23:45,000 --> 00:23:48,680 Speaker 2: changed much, so that when they actually got the numbers, 397 00:23:48,800 --> 00:23:52,119 Speaker 2: the number eased down to four point three percent in January. 398 00:23:52,480 --> 00:23:54,680 Speaker 2: Now they're talking about according to the Federal Reserve of 399 00:23:54,760 --> 00:23:59,760 Speaker 2: Chicago they'reforecasting unemployment rate at studying at four point two eight. 400 00:24:00,800 --> 00:24:02,920 Speaker 2: Well they're going to round that up to four point three, 401 00:24:03,200 --> 00:24:05,879 Speaker 2: but it is still below for it's now below that 402 00:24:05,960 --> 00:24:08,760 Speaker 2: four point three level, which is you know, getting closer 403 00:24:08,760 --> 00:24:10,960 Speaker 2: to that four point two percent, which is where it 404 00:24:11,119 --> 00:24:13,679 Speaker 2: was back in I think it was October or whatever. 405 00:24:13,760 --> 00:24:16,080 Speaker 2: So anyway, that's what's going on as far as the 406 00:24:16,320 --> 00:24:19,080 Speaker 2: labor market is concerned. There's a couple more quotes in 407 00:24:19,160 --> 00:24:24,440 Speaker 2: here that are kind of interesting, but again, the big 408 00:24:24,520 --> 00:24:26,480 Speaker 2: key to come out of this is that the stot 409 00:24:26,680 --> 00:24:30,359 Speaker 2: that the job market is steady, which is, you know, 410 00:24:30,680 --> 00:24:33,879 Speaker 2: kind of a far cry from what they tried to 411 00:24:33,960 --> 00:24:37,560 Speaker 2: gaslight us and tell us a few years ago or 412 00:24:37,640 --> 00:24:38,640 Speaker 2: a few months ago. 413 00:24:38,680 --> 00:24:39,320 Speaker 3: I should say. 414 00:24:40,359 --> 00:24:42,800 Speaker 2: One of the things that is kind of interesting too 415 00:24:43,440 --> 00:24:46,440 Speaker 2: is that I saw this story because we've been a 416 00:24:46,480 --> 00:24:48,720 Speaker 2: lot of this stuff have been popping up here recently, 417 00:24:49,119 --> 00:24:53,679 Speaker 2: in terms of well, the false well the CDL mills 418 00:24:53,720 --> 00:24:57,920 Speaker 2: that have been coming up, the falsification of documents, these 419 00:24:58,000 --> 00:25:01,959 Speaker 2: chameleon truck companies that are happening popping up all around. 420 00:25:02,200 --> 00:25:05,520 Speaker 2: When they get a violation, then they move the registration 421 00:25:05,640 --> 00:25:08,800 Speaker 2: to another company and then take the and again you know, 422 00:25:08,880 --> 00:25:12,200 Speaker 2: one of the ways of determining that is if you 423 00:25:12,200 --> 00:25:15,040 Speaker 2: you know, these decals are supposed to be on the 424 00:25:15,119 --> 00:25:18,560 Speaker 2: truck and on the you know, the cab around the 425 00:25:18,600 --> 00:25:24,000 Speaker 2: door area, and it is supposed to be a decal 426 00:25:24,280 --> 00:25:27,880 Speaker 2: on there, not a magnetic sign. So if you see 427 00:25:27,880 --> 00:25:31,359 Speaker 2: a magnetic sign attached to a door and it has 428 00:25:31,480 --> 00:25:34,919 Speaker 2: the registration number on, that be interesting to peel that 429 00:25:35,040 --> 00:25:39,000 Speaker 2: off and see which one they're trying to hide, which 430 00:25:39,080 --> 00:25:41,639 Speaker 2: again that should probably be illegal. But one of the 431 00:25:41,640 --> 00:25:45,520 Speaker 2: other things that they're finding here is Bluetooth CDL cheating 432 00:25:45,600 --> 00:25:50,600 Speaker 2: schemes draw federal action. US prosecutors are going after apparent 433 00:25:50,680 --> 00:25:54,960 Speaker 2: test cheaters who use bluetooth listening devices to hear answers 434 00:25:55,000 --> 00:25:59,880 Speaker 2: given by fraudsters during commercial driver license exam in exchange 435 00:25:59,880 --> 00:26:03,159 Speaker 2: for money. Two recent federal court cases, and one in 436 00:26:03,400 --> 00:26:07,359 Speaker 2: Massachusetts one in Wisconsin, underscored the government's efforts to combat 437 00:26:07,440 --> 00:26:12,119 Speaker 2: and apparent uptick and high tech listening. Federal court in 438 00:26:12,160 --> 00:26:17,359 Speaker 2: Boston convicted Frank Castro fifty two on January the fourteenth, 439 00:26:17,359 --> 00:26:20,240 Speaker 2: for engaging in a scheme in which an undercover agent 440 00:26:20,400 --> 00:26:24,639 Speaker 2: test taker received exam answers via a Bluetooth device that 441 00:26:24,720 --> 00:26:29,520 Speaker 2: resulted in the Massachusetts Registry of Motor Vehicles issuing a CLP, 442 00:26:30,160 --> 00:26:34,399 Speaker 2: which is a prerequisite to a CDL license. Castro was 443 00:26:34,440 --> 00:26:38,160 Speaker 2: convicted an unlawful production and identification document. According to US 444 00:26:38,240 --> 00:26:42,479 Speaker 2: Attorney's Office District of Columbia, he expected to be sentenced 445 00:26:42,520 --> 00:26:46,240 Speaker 2: in May. Could receive quite a pretty hefty fine there. 446 00:26:46,640 --> 00:26:52,959 Speaker 2: What they did is that would smuggle these bluetooth listening 447 00:26:52,960 --> 00:26:58,280 Speaker 2: devices and put it in their head or put it 448 00:26:58,320 --> 00:27:01,879 Speaker 2: in their ear rather, and I guess some of these 449 00:27:02,040 --> 00:27:07,840 Speaker 2: testing agencies will allow people to wear headsets so that 450 00:27:07,920 --> 00:27:13,760 Speaker 2: they can hear the questions because they don't speak proficient English, 451 00:27:14,040 --> 00:27:18,359 Speaker 2: which again is a violation of the FMCSA regulations that 452 00:27:18,440 --> 00:27:23,680 Speaker 2: you're supposed to display English proficiency in order to get 453 00:27:23,720 --> 00:27:27,720 Speaker 2: a CDL license. So as part of the scheme, you 454 00:27:27,920 --> 00:27:33,400 Speaker 2: kind of conceal the Bluetooth device, put it in your ear, 455 00:27:33,520 --> 00:27:36,840 Speaker 2: put the headphones on, and then as you're hearing the 456 00:27:36,920 --> 00:27:40,800 Speaker 2: different questions, somebody is actually feeding you the answers and 457 00:27:40,840 --> 00:27:46,399 Speaker 2: you pass the exam. Again that again, anybody found to 458 00:27:46,440 --> 00:27:50,200 Speaker 2: do that, just fact that they say here the undercover 459 00:27:50,280 --> 00:27:54,320 Speaker 2: agent passed the exam with Castro's unlawful assistance and received 460 00:27:54,480 --> 00:27:59,200 Speaker 2: a Massachusetts colp charge front lawful production and Identification document 461 00:27:59,480 --> 00:28:02,560 Speaker 2: for I just sense for up to fifteen years in prison, 462 00:28:03,000 --> 00:28:07,240 Speaker 2: three years of supervised release, and a two hundred and 463 00:28:07,359 --> 00:28:12,479 Speaker 2: fifty thousand dollars fine. In Wisconsin, they did this a 464 00:28:12,480 --> 00:28:18,000 Speaker 2: little bit differently. Criminal complaint was lodged against Jazz Preet Singh, 465 00:28:18,359 --> 00:28:23,719 Speaker 2: who for allegedly recruiting potential customers to pay to fraudulently 466 00:28:23,760 --> 00:28:27,760 Speaker 2: obtain CDLs without having to study the knowledge for the 467 00:28:27,800 --> 00:28:31,880 Speaker 2: exam and demonstrate the driving skills. Case against sing now 468 00:28:32,119 --> 00:28:36,639 Speaker 2: this Jazz pre sing That names may sound familiar. That 469 00:28:36,760 --> 00:28:39,560 Speaker 2: last name Singh was the name of those two people, 470 00:28:39,640 --> 00:28:44,080 Speaker 2: the one that killed those three people in Florida. And 471 00:28:44,120 --> 00:28:48,520 Speaker 2: then the Singh his name was jas and Prett sing 472 00:28:49,160 --> 00:28:53,320 Speaker 2: was the driver that was driving under the influence that 473 00:28:53,440 --> 00:28:56,560 Speaker 2: caused that accident in California and killed three people there. 474 00:28:56,880 --> 00:29:00,480 Speaker 2: This guy's name is Jazz Preat Singh. Apparently sing is 475 00:29:00,560 --> 00:29:04,840 Speaker 2: like Smith over in India. Case again Singh began October 476 00:29:04,880 --> 00:29:08,480 Speaker 2: the sixteenth the District Cord Eastern District of Washington, complaint 477 00:29:08,640 --> 00:29:12,640 Speaker 2: by John Moore Dransky, special agent from the DT. They 478 00:29:12,680 --> 00:29:15,080 Speaker 2: go through this and the way they would pull this 479 00:29:15,280 --> 00:29:22,080 Speaker 2: off instead of using the headsets because these Indian illegals 480 00:29:22,440 --> 00:29:26,120 Speaker 2: where the turbines, then it covers their ears. So they 481 00:29:26,160 --> 00:29:29,000 Speaker 2: put the listening device under the turbine and could get 482 00:29:29,040 --> 00:29:33,160 Speaker 2: these answers. So again clamping down on this and making 483 00:29:33,240 --> 00:29:35,920 Speaker 2: sure that the people and you know this guy was 484 00:29:36,680 --> 00:29:39,440 Speaker 2: in this game. They discussed charging two thousand dollars to 485 00:29:39,480 --> 00:29:44,160 Speaker 2: obtain the CLP and said, well, we're actually giving you 486 00:29:44,200 --> 00:29:46,640 Speaker 2: a discount on that, So you know we're going to 487 00:29:46,720 --> 00:29:48,560 Speaker 2: do something illegal, but we're going to give you a 488 00:29:48,600 --> 00:29:53,160 Speaker 2: discount doing it. So kind of an interesting scheme. But 489 00:29:53,400 --> 00:29:55,680 Speaker 2: I'm sure there's a lot more of these around the country, 490 00:29:55,920 --> 00:29:58,280 Speaker 2: and the more they start paying attention these, the more 491 00:29:58,320 --> 00:30:00,760 Speaker 2: they're going to clamp down on. Up, We've got some 492 00:30:01,280 --> 00:30:04,720 Speaker 2: interesting things to finish the day off here. I'm Kevin Gordon, 493 00:30:04,720 --> 00:30:10,520 Speaker 2: America's Trucking Network seven hundred W. This is America's truck 494 00:30:10,520 --> 00:30:13,640 Speaker 2: a Network seven hundred WLW. 495 00:30:13,760 --> 00:30:14,640 Speaker 3: I'm Kevin Gordon. 496 00:30:15,600 --> 00:30:22,760 Speaker 2: So what does Luke Combs, em and m Metallica, Lady Gaga. 497 00:30:22,520 --> 00:30:25,640 Speaker 3: And even Arctic monkeys have in common? 498 00:30:27,280 --> 00:30:30,840 Speaker 2: Truckers depend on the likes of Luke Combs, Eminem Metallica, 499 00:30:30,920 --> 00:30:34,400 Speaker 2: Lady Gaga, and even Arctic Monkeys to keep them alert 500 00:30:34,560 --> 00:30:39,240 Speaker 2: and keep loneliness at bay, even in twel feelings of roadway, 501 00:30:39,400 --> 00:30:41,960 Speaker 2: roadway rage, I'm trying to spit out there. 502 00:30:42,880 --> 00:30:43,800 Speaker 3: Those are just a few of. 503 00:30:43,720 --> 00:30:46,440 Speaker 2: The findings from recent survey of professional drivers about their 504 00:30:46,520 --> 00:30:47,720 Speaker 2: taste in music. 505 00:30:48,360 --> 00:30:49,040 Speaker 3: JW. 506 00:30:49,240 --> 00:30:54,120 Speaker 2: Surdy Shirty Bonds analyzed hundreds of Spotify playlists tagged with 507 00:30:54,280 --> 00:30:58,400 Speaker 2: trucking and truckers, then surveyed three hundred and seventy seven 508 00:30:58,480 --> 00:31:03,360 Speaker 2: professional truckers about how music affects their mood, focus, and 509 00:31:03,400 --> 00:31:08,360 Speaker 2: well being. They found that drive by Truckers, Morgan Whalen, 510 00:31:08,560 --> 00:31:10,840 Speaker 2: and Luke Combs are at the top of the artists 511 00:31:11,000 --> 00:31:12,680 Speaker 2: on the Spotify trucker list. 512 00:31:13,160 --> 00:31:14,600 Speaker 3: The most frequent songs on. 513 00:31:14,560 --> 00:31:19,600 Speaker 2: Truckers Spotify playlists are Eastbound Down by Jerry Reid, Convoy 514 00:31:19,680 --> 00:31:24,080 Speaker 2: by C. W. McCall, and Last Night by Morgan Whalen. Now, boy, 515 00:31:24,160 --> 00:31:28,080 Speaker 2: I'll tell you what the Eastbound Down and Convoy that 516 00:31:28,200 --> 00:31:32,080 Speaker 2: takes out. That is quite a throwback, but apparently on 517 00:31:32,120 --> 00:31:34,880 Speaker 2: some of these playlists it's still very popular. Now once 518 00:31:34,920 --> 00:31:37,360 Speaker 2: in a while, I like hearing that song because periodically 519 00:31:37,400 --> 00:31:39,440 Speaker 2: some of these oldie stations will pull that up and 520 00:31:39,480 --> 00:31:40,120 Speaker 2: play it. 521 00:31:40,120 --> 00:31:41,080 Speaker 3: It's kind of interesting. 522 00:31:41,280 --> 00:31:44,480 Speaker 2: Nearly thirty nine percent listen to music to managed loneliness 523 00:31:44,480 --> 00:31:48,520 Speaker 2: on the road. Truckers who listen to metal were the 524 00:31:48,600 --> 00:31:50,040 Speaker 2: least likely to say they. 525 00:31:49,960 --> 00:31:51,640 Speaker 3: Often feel lonely on the road. 526 00:31:53,240 --> 00:31:55,760 Speaker 2: Nothing beats a little bit of headbang in the cab 527 00:31:55,840 --> 00:31:59,760 Speaker 2: there to keep you from feeling lonely. Truckers who listen 528 00:31:59,840 --> 00:32:03,520 Speaker 2: to electronic dance music, we're the least likely to report 529 00:32:03,600 --> 00:32:08,920 Speaker 2: frequently experiencing road rage. Now, electronic dance music is not 530 00:32:09,080 --> 00:32:11,680 Speaker 2: one of those things. It's kind of almost like disco 531 00:32:11,800 --> 00:32:14,280 Speaker 2: music or something like that. So maybe this is one 532 00:32:14,320 --> 00:32:19,440 Speaker 2: of those those secret things that they do to keep 533 00:32:19,760 --> 00:32:20,640 Speaker 2: the road rage. 534 00:32:20,840 --> 00:32:23,800 Speaker 3: You know, the guilty pleasure. I guess I should say. 535 00:32:23,960 --> 00:32:26,360 Speaker 2: You know, you hear these people, We hear on some 536 00:32:26,360 --> 00:32:28,440 Speaker 2: of these talk shows where somebody talks about, well, you know, 537 00:32:29,480 --> 00:32:31,840 Speaker 2: I love I like sitting at home on the weekends 538 00:32:31,960 --> 00:32:35,920 Speaker 2: and watching Hallmark movies, which is kind of a guilty 539 00:32:35,920 --> 00:32:39,520 Speaker 2: pleasure which I'm guilty of. Trucker's listened to, I guess 540 00:32:39,600 --> 00:32:42,840 Speaker 2: is electronic dance music. One in ten truckers say metal 541 00:32:42,920 --> 00:32:46,600 Speaker 2: music helps keep them the most alert while driving well 542 00:32:46,840 --> 00:32:50,520 Speaker 2: I guess so, country is the most prevalent genre across 543 00:32:50,600 --> 00:32:56,320 Speaker 2: trucker playlist, followed uh, followed closely by rock. Hip hop, Rap, metal, 544 00:32:56,640 --> 00:32:59,920 Speaker 2: and pop rounded out the top five. Showing the range 545 00:33:00,080 --> 00:33:03,440 Speaker 2: of musical preferences among drivers. I would say that that's 546 00:33:03,480 --> 00:33:07,280 Speaker 2: pretty much an eclectic group of not only singers, but 547 00:33:07,360 --> 00:33:11,160 Speaker 2: also genres of music. Most common artists on truckers playlists 548 00:33:11,160 --> 00:33:16,040 Speaker 2: were Drive by Truckers, Morgan Wallen and Luke Combs. Let's 549 00:33:16,040 --> 00:33:20,800 Speaker 2: see Morgan Wallen lead in country. Drive by Truckers led 550 00:33:21,200 --> 00:33:26,560 Speaker 2: to top the rock genre. Eminem led hip hop. Metallica 551 00:33:26,640 --> 00:33:30,640 Speaker 2: was the most common metal artist. Lady Gaga represented pop, 552 00:33:31,080 --> 00:33:36,560 Speaker 2: a Vic topped ed m Arctic Monkeys led in Indie. 553 00:33:37,480 --> 00:33:41,760 Speaker 2: What no bad Bunny in there? About the truckers listening 554 00:33:41,840 --> 00:33:44,840 Speaker 2: to music while driving? The reasons are many and varied. 555 00:33:44,920 --> 00:33:47,960 Speaker 2: The survey found thirty nine percent said it's to come 556 00:33:47,960 --> 00:33:51,680 Speaker 2: back loneliness, thirty seven percent said music helps keep boredom 557 00:33:51,720 --> 00:33:55,040 Speaker 2: at bay, twenty nine percent said it helps fend off 558 00:33:55,320 --> 00:33:59,080 Speaker 2: aggression road rage. Twenty eight percent they said they listened 559 00:33:59,080 --> 00:34:04,280 Speaker 2: to tab down feelings of anxiety and nervousness. Twenty seven 560 00:34:04,360 --> 00:34:08,200 Speaker 2: percent said music is a hedge against fatigue and drowsiness. 561 00:34:08,360 --> 00:34:10,719 Speaker 2: But not all listening is tied to music. Of course, 562 00:34:10,719 --> 00:34:13,399 Speaker 2: there are some podcasts that they listen to. The top 563 00:34:13,440 --> 00:34:18,239 Speaker 2: podcast they talk about forty eight Hours, Mister Balen podcast, 564 00:34:18,440 --> 00:34:24,920 Speaker 2: Anything Goes with Emma Chamberlain twenty twenty and Morbid the 565 00:34:24,960 --> 00:34:29,319 Speaker 2: Top five. Now, what's interesting is that some of these 566 00:34:29,680 --> 00:34:33,040 Speaker 2: songs in here that you know, I'm kind of not 567 00:34:33,080 --> 00:34:35,239 Speaker 2: familiar with some of the artists. But one of the 568 00:34:35,239 --> 00:34:41,000 Speaker 2: things that cropped up was that Jim Crochey. I don't 569 00:34:41,000 --> 00:34:43,720 Speaker 2: know if you remember him, but he was an artist 570 00:34:43,760 --> 00:34:47,680 Speaker 2: that was popular back in the early seventies. He died 571 00:34:48,040 --> 00:34:50,600 Speaker 2: tragically at the age of thirty in an airplane crash. 572 00:34:50,640 --> 00:34:53,279 Speaker 2: And I was a big fan of his back in 573 00:34:53,320 --> 00:34:58,040 Speaker 2: the day because it's what I've always been kind of 574 00:34:58,080 --> 00:35:03,680 Speaker 2: a a word kind of guy, the lyrics as opposed 575 00:35:03,719 --> 00:35:06,440 Speaker 2: to the music. I would always pay attention to the 576 00:35:06,440 --> 00:35:12,120 Speaker 2: individual lyrics and see either the poetry or the story 577 00:35:12,160 --> 00:35:15,279 Speaker 2: that they were weaving through the different words. And I 578 00:35:15,320 --> 00:35:18,799 Speaker 2: was always big into that. And I remember buying like 579 00:35:18,960 --> 00:35:22,120 Speaker 2: my first albums and they were you know, they were 580 00:35:22,320 --> 00:35:24,279 Speaker 2: you know, you would generally have like one or two 581 00:35:24,480 --> 00:35:28,880 Speaker 2: popular songs that were playing on the radio, and it 582 00:35:28,880 --> 00:35:32,080 Speaker 2: would prompt me to buy the album. And when you 583 00:35:32,320 --> 00:35:35,760 Speaker 2: start listening to the album, you would realize that, well, 584 00:35:35,840 --> 00:35:38,840 Speaker 2: those top two songs that are being played are not 585 00:35:39,000 --> 00:35:42,600 Speaker 2: the best songs on the album. But so apparently some 586 00:35:42,680 --> 00:35:46,400 Speaker 2: sort of genius, some sort of consultant said, oh. 587 00:35:46,320 --> 00:35:48,560 Speaker 3: Well, this one will be the big hit. Now. 588 00:35:48,600 --> 00:35:52,080 Speaker 2: We do have instances in the past where with you know, 589 00:35:52,560 --> 00:35:55,520 Speaker 2: remembering the old forty five records where you'd have the 590 00:35:55,560 --> 00:35:58,880 Speaker 2: A side and the B side, and there were times 591 00:35:58,920 --> 00:36:02,839 Speaker 2: where disc jockey get so tired of every I guess 592 00:36:02,840 --> 00:36:05,239 Speaker 2: about every hour or every forty five minutes, they would 593 00:36:05,760 --> 00:36:09,000 Speaker 2: have to play that A side just to keep the listeners, 594 00:36:09,280 --> 00:36:11,480 Speaker 2: and once in a while they'd get bored and flip 595 00:36:11,520 --> 00:36:13,920 Speaker 2: it over and play the B side, and then suddenly 596 00:36:13,960 --> 00:36:16,439 Speaker 2: that song would get very popular and was actually more 597 00:36:16,480 --> 00:36:18,640 Speaker 2: popular than the A side. There are a couple of 598 00:36:18,640 --> 00:36:21,919 Speaker 2: instances like that. But one of the things about Jim 599 00:36:21,960 --> 00:36:25,280 Speaker 2: Croche if a lot of his songs. I mean, of course, 600 00:36:25,400 --> 00:36:28,120 Speaker 2: most people are familiar with Bad Bad Lee, Broy Brown 601 00:36:28,239 --> 00:36:31,200 Speaker 2: and don't mess around with Jim and that type of thing, 602 00:36:31,520 --> 00:36:33,920 Speaker 2: but there were a couple of other songs and they 603 00:36:33,960 --> 00:36:37,799 Speaker 2: note in here in this particular story that Jim Crochy's 604 00:36:38,000 --> 00:36:41,200 Speaker 2: wrote a couple of songs because he had been a trucker, 605 00:36:41,840 --> 00:36:44,680 Speaker 2: driving concrete trucks and gravel trucks. 606 00:36:44,560 --> 00:36:46,840 Speaker 3: And as he explained in an interview. 607 00:36:46,640 --> 00:36:50,160 Speaker 2: Shortly before his death, that the trucks that he would drive, 608 00:36:50,239 --> 00:36:52,359 Speaker 2: when he would drive, it would not be more than 609 00:36:52,640 --> 00:36:55,040 Speaker 2: like a day out and a day back, or maybe 610 00:36:55,080 --> 00:36:57,799 Speaker 2: all within the same day. And he talked about being 611 00:36:57,840 --> 00:36:59,400 Speaker 2: on the road and the people that did meet, the 612 00:36:59,440 --> 00:37:02,200 Speaker 2: truck style and this, that and the other thing. But 613 00:37:02,320 --> 00:37:04,239 Speaker 2: one of the songs that two of the songs that 614 00:37:04,280 --> 00:37:09,160 Speaker 2: he wrote were wear Out the Turnpike and Speedball Tucker, 615 00:37:09,600 --> 00:37:12,840 Speaker 2: which were dedicated to the trucking industry and stuff. I 616 00:37:12,880 --> 00:37:15,520 Speaker 2: don't know if you're familiar with those in terms of 617 00:37:15,560 --> 00:37:18,359 Speaker 2: your playlist, but I pulled them up and listened to them, 618 00:37:18,480 --> 00:37:20,279 Speaker 2: and they got a kind of a catchy tune to them. 619 00:37:20,320 --> 00:37:24,920 Speaker 2: It's kind of an interesting tune, et cetera. But and 620 00:37:25,000 --> 00:37:28,080 Speaker 2: going through that again, you know, people all know the 621 00:37:28,360 --> 00:37:31,800 Speaker 2: various familiar songs, more popular one. Like I said, you 622 00:37:31,840 --> 00:37:36,800 Speaker 2: don't mess around with Jim the Bad bad Le Roy Brown. 623 00:37:37,320 --> 00:37:42,799 Speaker 2: But what people forget is that some of very to me, 624 00:37:43,080 --> 00:37:47,200 Speaker 2: some of the better songs that he did. Operator remember 625 00:37:47,239 --> 00:37:52,000 Speaker 2: that one, It's not the way it feels was the parenthesis, 626 00:37:52,000 --> 00:37:57,520 Speaker 2: there operator one less set of footsteps on the door 627 00:37:57,680 --> 00:38:02,000 Speaker 2: that you know, you'll have one less excuse me, one 628 00:38:02,080 --> 00:38:05,640 Speaker 2: less set of footsteps on your door. I've got a name, 629 00:38:06,360 --> 00:38:09,560 Speaker 2: Time in a Bottle, which became a very popular song 630 00:38:10,360 --> 00:38:12,799 Speaker 2: at weddings and stuff during that period of time. 631 00:38:13,400 --> 00:38:15,080 Speaker 3: It doesn't have to be that way. 632 00:38:15,960 --> 00:38:19,760 Speaker 2: I'll have to say I love you in a song again, 633 00:38:20,000 --> 00:38:24,640 Speaker 2: another popular song that was done at weddings or different things. 634 00:38:25,440 --> 00:38:28,680 Speaker 2: It became kind of like that's our song type of thing. 635 00:38:30,040 --> 00:38:35,360 Speaker 2: Working at the car wash, Blues chain gang melody again 636 00:38:35,520 --> 00:38:40,920 Speaker 2: this guy, remember, particularly when he died, we had just 637 00:38:41,000 --> 00:38:46,840 Speaker 2: gotten finished with football practice at Xavier University, and I 638 00:38:46,920 --> 00:38:50,799 Speaker 2: had not made the travel team for that weekend, and 639 00:38:50,880 --> 00:38:52,200 Speaker 2: a group of us were going. 640 00:38:52,040 --> 00:38:54,400 Speaker 3: Up to a local pub, so to speak. 641 00:38:55,680 --> 00:38:58,560 Speaker 2: Because back in that day, if you were eighteen years 642 00:38:58,560 --> 00:39:02,279 Speaker 2: of age or old, or well eighteen, you had to 643 00:39:02,360 --> 00:39:06,319 Speaker 2: be eighteen years old. Obviously, drinking age was twenty one. 644 00:39:06,640 --> 00:39:09,200 Speaker 2: But they had what they called three two beer in Ohio, 645 00:39:10,200 --> 00:39:12,439 Speaker 2: so you could actually go to a bar and drink 646 00:39:12,440 --> 00:39:16,600 Speaker 2: three two beer, and I remember going to the bar 647 00:39:16,719 --> 00:39:19,759 Speaker 2: that night and pub let's call it a pub because 648 00:39:19,800 --> 00:39:22,399 Speaker 2: a little more high class there. And it came out 649 00:39:22,440 --> 00:39:24,680 Speaker 2: on the radio that he had died in his plane crash, 650 00:39:24,800 --> 00:39:27,800 Speaker 2: and I was just it was devastating because he was 651 00:39:27,840 --> 00:39:31,560 Speaker 2: one of the people that I'd listened to a lot of. 652 00:39:31,800 --> 00:39:35,160 Speaker 2: I was always into more of the individual bands or 653 00:39:35,160 --> 00:39:39,200 Speaker 2: individual singers like a James Taylor, Livingston Taylor, some of 654 00:39:39,239 --> 00:39:41,759 Speaker 2: these other people. Of course, I liked the Stones from 655 00:39:41,800 --> 00:39:44,440 Speaker 2: time to time, even some little little lead for the 656 00:39:44,480 --> 00:39:47,040 Speaker 2: head listening to the led Zeppelin, but I always kind 657 00:39:47,040 --> 00:39:50,960 Speaker 2: of gravitated more towards the individual singers, Gordon Lightfoot, et cetera. 658 00:39:51,320 --> 00:39:53,839 Speaker 2: But it really hit me hard that night. I can 659 00:39:53,880 --> 00:39:56,759 Speaker 2: remember vividly listening to that and it kind of really 660 00:39:56,800 --> 00:40:01,200 Speaker 2: bothered me. But again, talking about of these trucks trump, 661 00:40:01,280 --> 00:40:04,239 Speaker 2: some of these stories, and some of these songs that 662 00:40:04,320 --> 00:40:08,960 Speaker 2: you listen to on the radio. Now, what's interesting as 663 00:40:09,000 --> 00:40:12,240 Speaker 2: I pulled up some of the songs that I put 664 00:40:12,280 --> 00:40:16,680 Speaker 2: on bumper music Born to Be Wild by Steppenwolf, Running 665 00:40:16,719 --> 00:40:20,120 Speaker 2: Down a Dream by Tom Petty, Dirty Deeds Done Dirt 666 00:40:20,160 --> 00:40:23,439 Speaker 2: Cheap by ac DC, You Shook me all night long 667 00:40:23,520 --> 00:40:25,840 Speaker 2: again ac DC Thunderstruck. 668 00:40:26,200 --> 00:40:27,520 Speaker 3: I'm when I had some of these to here. 669 00:40:27,760 --> 00:40:30,640 Speaker 2: One of the things I play a lot on the radio, 670 00:40:30,880 --> 00:40:34,120 Speaker 2: especially when I get a phone caller that disagrees with 671 00:40:34,160 --> 00:40:36,080 Speaker 2: me and they tell me how. 672 00:40:36,080 --> 00:40:36,920 Speaker 3: Much they dislike me. 673 00:40:36,920 --> 00:40:39,400 Speaker 2: I usually try to play I Hate Myself for Loving You, 674 00:40:39,960 --> 00:40:42,680 Speaker 2: which kind of gets them going a roadhouse, Blues by 675 00:40:42,680 --> 00:40:46,400 Speaker 2: the Drawers, Doors, Lagrange, zz Top and so on. So 676 00:40:46,480 --> 00:40:48,279 Speaker 2: there's a lot of a lot of music out there, 677 00:40:48,560 --> 00:40:51,680 Speaker 2: and I always get a kick driving down the road 678 00:40:51,719 --> 00:40:53,600 Speaker 2: sometimes and hearing a song that I hadn't heard in 679 00:40:53,640 --> 00:40:58,720 Speaker 2: like twenty thirty years. So again that's I just find 680 00:40:58,840 --> 00:41:02,359 Speaker 2: music very interesting, and again it kind of passes the time. Well, folks, 681 00:41:02,360 --> 00:41:04,640 Speaker 2: we're up against clock here. Stay tuned for Retie Radio 682 00:41:04,680 --> 00:41:08,040 Speaker 2: atop the hour. I'm Kevin Gordon, America's Truck and Network 683 00:41:08,400 --> 00:41:09,680 Speaker 2: seven hundred W