1 00:00:00,200 --> 00:00:04,560 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:05,120 --> 00:00:07,720 Speaker 1: Jim Pozl has a great biography. You can link up 3 00:00:07,720 --> 00:00:11,239 Speaker 1: to him at Coast to Coast AM dot com and 4 00:00:11,280 --> 00:00:14,920 Speaker 1: he knows what he's talking about. Years in the business 5 00:00:15,000 --> 00:00:20,240 Speaker 1: with OSHA compliance and both on industry side and trying 6 00:00:20,280 --> 00:00:22,880 Speaker 1: to keep track of regulations on another side. And now 7 00:00:22,880 --> 00:00:28,680 Speaker 1: he's the host of the Safety Wars podcast. So, Jim, 8 00:00:29,840 --> 00:00:33,040 Speaker 1: when you say safety wars right away, I'm wondering, like, okay, 9 00:00:33,040 --> 00:00:35,760 Speaker 1: well then who are the combatants in the safety war? 10 00:00:35,800 --> 00:00:39,559 Speaker 1: Who are the biggest players that keep us unsafe that 11 00:00:39,680 --> 00:00:44,159 Speaker 1: we have to have safety wars? Well, this is no 12 00:00:44,400 --> 00:00:47,840 Speaker 1: I get this plush and asked all the time, what 13 00:00:48,200 --> 00:00:50,960 Speaker 1: what are we doing here? Well, we on one side, 14 00:00:51,000 --> 00:00:54,560 Speaker 1: you have us rightful, however you want to define that 15 00:00:55,120 --> 00:01:00,120 Speaker 1: victims put right right? Yeah. On the other hand, and 16 00:01:00,360 --> 00:01:03,760 Speaker 1: is everything else that we have to deal with. It 17 00:01:03,840 --> 00:01:11,760 Speaker 1: could be a workplace situation where you have no employers 18 00:01:12,040 --> 00:01:17,479 Speaker 1: not following OSHA regulations, environmental regulations, things of that nature. 19 00:01:17,800 --> 00:01:24,280 Speaker 1: You can have government bureaucrats on the other hand. My opinion, 20 00:01:24,319 --> 00:01:27,160 Speaker 1: my personal opinion is that this whole thing with sovereign 21 00:01:27,160 --> 00:01:30,880 Speaker 1: immunity has to be revisited. Here, tell me what that means. 22 00:01:31,040 --> 00:01:33,840 Speaker 1: What does that mean? Well, that means that they're not 23 00:01:33,920 --> 00:01:36,880 Speaker 1: responsible for any of the decisions that they make on 24 00:01:37,000 --> 00:01:41,360 Speaker 1: that after government, which allows a lot of people to 25 00:01:42,920 --> 00:01:45,680 Speaker 1: make decisions that in private industry. If I made the 26 00:01:45,720 --> 00:01:49,840 Speaker 1: same decision, I'd probably be in a federal prison somewhere. Okay, 27 00:01:49,840 --> 00:01:56,160 Speaker 1: But who's making who gets sovereign immunity? Basically emergency managers? 28 00:01:56,760 --> 00:02:00,200 Speaker 1: Police officers are another one that we've heard a lot 29 00:02:00,240 --> 00:02:07,760 Speaker 1: about that lately. Politicians, hands of agencies, government appointees, things 30 00:02:07,760 --> 00:02:11,639 Speaker 1: of that nature. Unless it's specifically a loss, one says 31 00:02:11,680 --> 00:02:14,959 Speaker 1: that there's they could be convicted of something. There is 32 00:02:15,000 --> 00:02:17,600 Speaker 1: really nothing that that could happen, and when they do, 33 00:02:18,120 --> 00:02:23,320 Speaker 1: guess one as slap on the wrist. For example, in Michigan, Flint, 34 00:02:23,360 --> 00:02:26,600 Speaker 1: Michigan with a lead in the water situation, there were 35 00:02:26,639 --> 00:02:30,799 Speaker 1: criminal convictions there with that and a couple of them 36 00:02:30,800 --> 00:02:33,080 Speaker 1: and they were just slaps on the wrists and they're 37 00:02:33,120 --> 00:02:37,120 Speaker 1: being appealed on everything else. Another one, you know, that's 38 00:02:37,200 --> 00:02:40,440 Speaker 1: a serious one with environmental but we just had one 39 00:02:40,520 --> 00:02:43,040 Speaker 1: here in the last couple of years in our neighborhood 40 00:02:43,080 --> 00:02:46,520 Speaker 1: I live right now in southern New York, in the 41 00:02:46,560 --> 00:02:49,680 Speaker 1: southern up state New York, but I grew up in 42 00:02:49,760 --> 00:02:55,519 Speaker 1: central New Jersey where we had allegedly members of the 43 00:02:55,600 --> 00:02:58,360 Speaker 1: Chris Christy administration a couple of years back, caused a 44 00:02:58,440 --> 00:03:02,680 Speaker 1: huge traffic jam. Right, They eventually got convicted of stuff, 45 00:03:02,680 --> 00:03:05,720 Speaker 1: and then they got overturned. That was a whole community. 46 00:03:05,880 --> 00:03:08,520 Speaker 1: It could be anything. The bridge kate think, all right, 47 00:03:08,600 --> 00:03:12,120 Speaker 1: so right, okay, well this is super cool, So let 48 00:03:12,120 --> 00:03:16,680 Speaker 1: me ask you then. The implication is, then, is somebody 49 00:03:16,680 --> 00:03:20,760 Speaker 1: who's in charge of our safety could flagrantly make a 50 00:03:20,880 --> 00:03:25,480 Speaker 1: bad call, right and and and know that they would 51 00:03:25,520 --> 00:03:28,679 Speaker 1: never be held accountable for it, except maybe they might 52 00:03:28,720 --> 00:03:34,600 Speaker 1: lose their gig. Other people could lose much more than that, Right, Okay, 53 00:03:34,800 --> 00:03:38,800 Speaker 1: that's essentially correct. And it's not only that when we're 54 00:03:38,800 --> 00:03:43,080 Speaker 1: talking about the safety war, it's no. One of the 55 00:03:43,120 --> 00:03:45,880 Speaker 1: things that I do with my program, and I get 56 00:03:45,960 --> 00:03:48,720 Speaker 1: hire to do this my clients, is to coach their 57 00:03:48,760 --> 00:03:53,480 Speaker 1: employees on how to be safe and to train them 58 00:03:53,480 --> 00:03:56,760 Speaker 1: and also how to address a lot of the safety 59 00:03:56,760 --> 00:04:00,880 Speaker 1: issues in their own workplace, their own environment, and everything else. 60 00:04:00,920 --> 00:04:03,960 Speaker 1: Because a lot of times worthy barrier that to our 61 00:04:04,000 --> 00:04:07,200 Speaker 1: own safety. A lot of times there's incentence in the 62 00:04:07,240 --> 00:04:10,360 Speaker 1: workplace and things of that nature. So and sometowed us 63 00:04:11,000 --> 00:04:15,040 Speaker 1: being advocates for ourselves. OSHA has a huge program called 64 00:04:15,040 --> 00:04:19,680 Speaker 1: the Outreach Training Program where there's four different areas that 65 00:04:19,760 --> 00:04:23,640 Speaker 1: you could go into. I have credentials in all four areas, 66 00:04:24,120 --> 00:04:28,880 Speaker 1: one of them being disaster to response and when they've 67 00:04:28,960 --> 00:04:31,880 Speaker 1: tried to educate the public, and it's been a very 68 00:04:31,920 --> 00:04:35,920 Speaker 1: successful program over the years, but still needs some improvement 69 00:04:36,000 --> 00:04:39,279 Speaker 1: and things of that nature. So it's us sometimes too. 70 00:04:39,320 --> 00:04:43,440 Speaker 1: On the other side, our attitudes are lack of awareness. 71 00:04:43,520 --> 00:04:48,680 Speaker 1: Sometimes again, like my wife points out to me, not 72 00:04:48,880 --> 00:04:53,000 Speaker 1: everybody is into this, Jimmy. You know, yeah, now I'm 73 00:04:53,080 --> 00:04:55,520 Speaker 1: into it, And I think this is what's really interesting 74 00:04:55,680 --> 00:04:58,800 Speaker 1: is so when you brought up Flint, Michigan, that's what 75 00:04:58,880 --> 00:05:02,039 Speaker 1: I'm thinking about these power Palestine. I don't care. I'm 76 00:05:02,040 --> 00:05:04,920 Speaker 1: just gonna tell you what I mean. I'm I'm I'm 77 00:05:04,920 --> 00:05:07,640 Speaker 1: not even in the bleachers, right, I'm not in the stadium. 78 00:05:07,680 --> 00:05:11,120 Speaker 1: I'm a million miles away. But I don't. Part of 79 00:05:11,160 --> 00:05:13,479 Speaker 1: me just says I don't care that they're testing five 80 00:05:13,600 --> 00:05:17,640 Speaker 1: hundred houses clean right now. That wasn't the story in Flint. 81 00:05:17,720 --> 00:05:22,000 Speaker 1: It was an accumulative problem, and then when it got 82 00:05:22,080 --> 00:05:24,240 Speaker 1: worse and worse and worse, then it's like then the 83 00:05:24,279 --> 00:05:27,239 Speaker 1: iceberg flips, right. And so that's what I'm a little 84 00:05:27,240 --> 00:05:29,320 Speaker 1: bit worried about with the people, the good people of 85 00:05:29,400 --> 00:05:33,000 Speaker 1: East Palestine, is they're gonna get written off as well. 86 00:05:33,040 --> 00:05:34,960 Speaker 1: We did the testing, All is good. Now. I heard 87 00:05:35,120 --> 00:05:39,360 Speaker 1: somebody just told me on Twitter, thank you Jeff, that 88 00:05:39,440 --> 00:05:42,240 Speaker 1: FEMA has finally agreed to come down and take a 89 00:05:42,240 --> 00:05:46,840 Speaker 1: look at it. Okay, great, But even they can just go, well, 90 00:05:46,880 --> 00:05:50,440 Speaker 1: that's enough, we've done. We've done the testing, We've satisfied 91 00:05:50,440 --> 00:05:55,159 Speaker 1: even Jim posles four questions, and now we're done. But 92 00:05:55,400 --> 00:05:58,200 Speaker 1: five years from now is when the problem starts. I 93 00:05:58,480 --> 00:06:01,560 Speaker 1: see a situation here, and by the way, everything is 94 00:06:01,560 --> 00:06:04,800 Speaker 1: said is one hundred percent relevant here, all right, I 95 00:06:04,920 --> 00:06:09,640 Speaker 1: see what's going What if this is handled, No, especially 96 00:06:09,640 --> 00:06:14,120 Speaker 1: with some of the statements from the EPA administrator, this 97 00:06:14,200 --> 00:06:19,359 Speaker 1: is going to be alike similar to another Love canal 98 00:06:19,680 --> 00:06:23,880 Speaker 1: situation right into that. There's going to be ongoing monitoring here. 99 00:06:24,160 --> 00:06:27,040 Speaker 1: I think the only the final resolution here, and it 100 00:06:27,160 --> 00:06:29,840 Speaker 1: maybe ten twenty years down the line, is that this 101 00:06:29,880 --> 00:06:33,279 Speaker 1: whole town gets condemned up to a certain point, and 102 00:06:33,480 --> 00:06:36,359 Speaker 1: from there are going to be property buyouts because I 103 00:06:36,480 --> 00:06:39,400 Speaker 1: tell you what, even with the testing in the homes, 104 00:06:40,040 --> 00:06:45,600 Speaker 1: all right, No, I'll give at a little bit technical here. 105 00:06:46,560 --> 00:06:50,960 Speaker 1: So you have this snake controlled demolition here, this controlled 106 00:06:51,000 --> 00:06:54,960 Speaker 1: explosion here and fire what probably was the right thing 107 00:06:55,000 --> 00:06:56,640 Speaker 1: to do with when you look at the nature of 108 00:06:56,680 --> 00:07:00,120 Speaker 1: the chemicals here? Well, now what do you do in 109 00:07:00,200 --> 00:07:05,400 Speaker 1: the houses? There's residues left behind possibly, right, and now 110 00:07:05,640 --> 00:07:08,919 Speaker 1: you're going to be sampling for those, whatever those are. 111 00:07:09,200 --> 00:07:13,680 Speaker 1: The question is now comes out what's safe? Like I 112 00:07:13,680 --> 00:07:18,520 Speaker 1: said previously, that's a legal definition. So for example, in air, 113 00:07:18,680 --> 00:07:21,080 Speaker 1: for example, I'll give you a couple of statistics here. 114 00:07:21,760 --> 00:07:23,560 Speaker 1: Can't do too many because I got too many questions, 115 00:07:23,560 --> 00:07:27,400 Speaker 1: were good? Give me one, good one? Okay? So right now, 116 00:07:27,920 --> 00:07:32,200 Speaker 1: for air contamination in the workplace, there are five hundred 117 00:07:32,280 --> 00:07:36,680 Speaker 1: official exposure limits from the government, right, i'll call permissible 118 00:07:36,720 --> 00:07:40,200 Speaker 1: exposure limits. All right, how many chemicals do you think 119 00:07:40,200 --> 00:07:46,160 Speaker 1: are in the workplace? Possibly? Yeah, eighty thousand I've heard, 120 00:07:46,600 --> 00:07:49,239 Speaker 1: and there's not an exact number. So now we have 121 00:07:50,080 --> 00:07:54,080 Speaker 1: not a lot of exposure limits versus all of these contaminants, 122 00:07:54,120 --> 00:07:56,680 Speaker 1: and who's going to determine what's safe and what's not 123 00:07:58,400 --> 00:08:03,680 Speaker 1: all quick example for uh no, uh for lead for example, 124 00:08:03,760 --> 00:08:06,119 Speaker 1: for lead based paint issues and things in that nature. 125 00:08:06,160 --> 00:08:10,240 Speaker 1: They have standards for that for what's allowable in the house. Well, 126 00:08:10,240 --> 00:08:12,960 Speaker 1: that's a good example. But that's good for But that's 127 00:08:13,000 --> 00:08:17,160 Speaker 1: a good example because at one point, lead paint, asbestos, 128 00:08:17,600 --> 00:08:20,880 Speaker 1: you know, asbis tile, all these things, at one point 129 00:08:20,880 --> 00:08:24,040 Speaker 1: had been deemed safe and it really takes decades to 130 00:08:24,080 --> 00:08:28,120 Speaker 1: prove that they aren't. So let me just back back 131 00:08:28,120 --> 00:08:31,120 Speaker 1: to the explosion thing. So here it was East Palestine. 132 00:08:31,120 --> 00:08:32,959 Speaker 1: By the way, do we know the cause of the 133 00:08:33,200 --> 00:08:35,560 Speaker 1: crash yet? Do I? Did I miss? There are a 134 00:08:35,600 --> 00:08:39,000 Speaker 1: couple of us theories here on this where apparently twenty 135 00:08:39,040 --> 00:08:43,719 Speaker 1: miles prior to this happening, Uh, there were there was 136 00:08:43,760 --> 00:08:47,240 Speaker 1: a probably a security camera or some type of closed 137 00:08:47,280 --> 00:08:52,000 Speaker 1: circuit camera system picked up the train and apparently one 138 00:08:52,120 --> 00:08:56,120 Speaker 1: of allegedly right, I haven't seen the footage. Allegedly one 139 00:08:56,160 --> 00:08:59,680 Speaker 1: of the wheels was starting to fail. Um one of 140 00:08:59,679 --> 00:09:04,080 Speaker 1: these cars, all right, And what happens is the way 141 00:09:04,120 --> 00:09:08,040 Speaker 1: things are set up when they hit the brakes, not 142 00:09:08,200 --> 00:09:11,200 Speaker 1: all the brakes go off at one time, and this 143 00:09:11,440 --> 00:09:14,640 Speaker 1: often causes a derailment. This is one of the leading 144 00:09:14,760 --> 00:09:17,360 Speaker 1: causes from what I've read and from what I've heard 145 00:09:17,400 --> 00:09:21,280 Speaker 1: inside the industry, of a derailment. So one of the 146 00:09:21,360 --> 00:09:24,400 Speaker 1: solutions that they're going to be looking at is electronically 147 00:09:24,440 --> 00:09:29,120 Speaker 1: controlled pneumatic breaks where everything's able to break at relatively 148 00:09:29,200 --> 00:09:33,080 Speaker 1: the same time a minimum lag. Right, that's one thing. 149 00:09:33,160 --> 00:09:38,240 Speaker 1: And also an acoustic detector is uh no, because these 150 00:09:38,240 --> 00:09:43,760 Speaker 1: things make noises. If you're at go on it, it 151 00:09:43,800 --> 00:09:47,080 Speaker 1: makes a noise. But the thing is this train was 152 00:09:47,200 --> 00:09:50,839 Speaker 1: like two miles long, right, one hundred and forty some cars, 153 00:09:50,880 --> 00:09:55,000 Speaker 1: one hundred and fifty cars and uh no. And there's 154 00:09:55,040 --> 00:09:58,840 Speaker 1: been other arguments that things are undermanned, which is part 155 00:09:58,840 --> 00:10:01,520 Speaker 1: of what the almost was last year. That was one 156 00:10:01,559 --> 00:10:05,280 Speaker 1: of the issues right as a results, So the big 157 00:10:05,320 --> 00:10:08,120 Speaker 1: thing is this therek going the NTSP is going to 158 00:10:08,240 --> 00:10:12,319 Speaker 1: be doing an investigation here and hopefully they're going to 159 00:10:12,360 --> 00:10:15,240 Speaker 1: get to the bottom of this, and hopefully we're going 160 00:10:15,280 --> 00:10:19,600 Speaker 1: to have good policy recommendations and changes. The worst thing 161 00:10:19,600 --> 00:10:22,040 Speaker 1: that we could that could happen is a knee jerk 162 00:10:22,120 --> 00:10:26,240 Speaker 1: reaction or a political a Look, I didn't writing about 163 00:10:26,280 --> 00:10:29,520 Speaker 1: this and guess no, the twenty twenty four elections are 164 00:10:29,520 --> 00:10:31,520 Speaker 1: coming up. Yeah, we call it like a like a 165 00:10:31,559 --> 00:10:34,360 Speaker 1: hasty piece or you know, a hasty resolution. All right, 166 00:10:34,400 --> 00:10:37,880 Speaker 1: So so here here's what. First of all, I mean, 167 00:10:38,240 --> 00:10:41,560 Speaker 1: I think the average car has more idiot lights that 168 00:10:41,640 --> 00:10:44,680 Speaker 1: are going off on sensors, on wheels. Right. I got 169 00:10:44,679 --> 00:10:46,840 Speaker 1: one going off on my tire right now because in 170 00:10:46,880 --> 00:10:50,520 Speaker 1: the change of weather, I had a slight change in 171 00:10:50,920 --> 00:10:54,280 Speaker 1: my PSI and one of my tires, right, So it's 172 00:10:54,320 --> 00:10:56,640 Speaker 1: showing up like if they if they can do that 173 00:10:56,720 --> 00:11:03,240 Speaker 1: for a Volkswagon, for God's sake, for a trade. There 174 00:11:03,240 --> 00:11:06,720 Speaker 1: are something like three to four thousand different safety features 175 00:11:06,720 --> 00:11:08,800 Speaker 1: in a car thanks to Ralph Nader who was a 176 00:11:10,400 --> 00:11:15,240 Speaker 1: right an advocate, sure advocate and Coast to Coast guests, right, yeah, 177 00:11:16,040 --> 00:11:21,160 Speaker 1: uh what so Yeah, I think adding more things getting 178 00:11:21,200 --> 00:11:23,600 Speaker 1: the human element out of this and adding more and 179 00:11:23,640 --> 00:11:27,600 Speaker 1: more automated things to eliminate out to eliminate human error, 180 00:11:27,800 --> 00:11:30,880 Speaker 1: and the human factor is probably where this is going well, 181 00:11:31,160 --> 00:11:34,520 Speaker 1: where it needs especially we're talking about a wobbly wheel 182 00:11:34,559 --> 00:11:36,240 Speaker 1: for God's sakes, all right. So anyway to hang on 183 00:11:36,360 --> 00:11:40,280 Speaker 1: to that thought, if we are at a point we're 184 00:11:40,480 --> 00:11:46,960 Speaker 1: blowing something up is the safest response, but something is 185 00:11:47,120 --> 00:11:52,800 Speaker 1: primal is exploding, it is what we think will be 186 00:11:52,840 --> 00:11:58,800 Speaker 1: the safest response moving forward. I think that represents you 187 00:11:58,880 --> 00:12:03,280 Speaker 1: may be right, maybe the best solution, But it seems 188 00:12:03,360 --> 00:12:06,880 Speaker 1: really silly that they're like, yep, better dynamiter, you know. 189 00:12:06,960 --> 00:12:09,199 Speaker 1: I mean, like that's if that's really what it comes 190 00:12:09,240 --> 00:12:13,120 Speaker 1: down to, then we haven't progressed much. But even the 191 00:12:13,400 --> 00:12:16,280 Speaker 1: even on the air and the chemical part, it's not 192 00:12:16,320 --> 00:12:19,719 Speaker 1: just the town that might be affected. But again, if 193 00:12:19,720 --> 00:12:22,760 Speaker 1: it gets into the water supply, or it gets down river, 194 00:12:23,559 --> 00:12:26,319 Speaker 1: how many other towns are we talking about that are 195 00:12:26,320 --> 00:12:28,960 Speaker 1: going to be affected by that? You know, that that 196 00:12:29,160 --> 00:12:31,520 Speaker 1: slick that came down the river that was killing all 197 00:12:31,559 --> 00:12:36,600 Speaker 1: the fish. I mean this, how many parts per billion 198 00:12:36,679 --> 00:12:39,600 Speaker 1: does it take to make people ill and to start 199 00:12:39,640 --> 00:12:43,679 Speaker 1: affecting you know, say reproduction or women who are pregnant 200 00:12:43,880 --> 00:12:48,240 Speaker 1: or whatever. That's that that varies. And then they have 201 00:12:48,320 --> 00:12:51,839 Speaker 1: what are called LV fifties and LC fifties that stands 202 00:12:51,920 --> 00:12:57,400 Speaker 1: or legal does fifty percent or lethal concentration and uh 203 00:12:57,520 --> 00:13:01,840 Speaker 1: those are done on animals and how they equate to humans. Again, 204 00:13:01,920 --> 00:13:04,760 Speaker 1: that's not really ethical to try to figure out what 205 00:13:05,000 --> 00:13:08,880 Speaker 1: sure to kill someone, So they try to do different 206 00:13:08,960 --> 00:13:13,960 Speaker 1: calculations and strapolated. Yeah, right with that, So that's another question. 207 00:13:14,080 --> 00:13:16,040 Speaker 1: The other thing is this, like we found that with 208 00:13:16,559 --> 00:13:19,800 Speaker 1: COVID and other things, we could kill me, may not 209 00:13:19,960 --> 00:13:24,040 Speaker 1: kill you. Right. So it's very difficult for them to 210 00:13:24,120 --> 00:13:27,560 Speaker 1: come up with these numbers, is can they Yeah, they 211 00:13:27,559 --> 00:13:29,479 Speaker 1: can come up with I can come up with the numbers. 212 00:13:29,520 --> 00:13:33,480 Speaker 1: But no, what No, I don't think that's going to 213 00:13:33,520 --> 00:13:36,640 Speaker 1: sell good right the public? And I think what I think, 214 00:13:36,640 --> 00:13:38,319 Speaker 1: that's what we're looking at when we're looking at it 215 00:13:38,400 --> 00:13:42,280 Speaker 1: East Palestine. And then when they say there's a thousand 216 00:13:42,920 --> 00:13:47,240 Speaker 1: a year of these is people will start thinking, Okay, 217 00:13:47,520 --> 00:13:51,599 Speaker 1: wait what and if it's a thousand, even if you 218 00:13:51,760 --> 00:13:53,760 Speaker 1: divided it by you know, as you said, it's like 219 00:13:53,840 --> 00:13:56,600 Speaker 1: let's go three a day, you know, I mean there's 220 00:13:56,600 --> 00:13:58,600 Speaker 1: a lot of direct I was in a train derail 221 00:13:58,679 --> 00:14:01,160 Speaker 1: New Ones. I was in a passenger train derailment that 222 00:14:01,559 --> 00:14:05,160 Speaker 1: a train got derailed because it was so cold it 223 00:14:05,200 --> 00:14:10,160 Speaker 1: was it was well below zero about three days in 224 00:14:10,200 --> 00:14:12,679 Speaker 1: a row. It was like fifteen twenty below zero. And 225 00:14:12,760 --> 00:14:17,080 Speaker 1: I'm taking a commuter train back from college and one 226 00:14:17,320 --> 00:14:21,200 Speaker 1: of the either the ties I don't know. I think 227 00:14:21,240 --> 00:14:26,720 Speaker 1: it was actually the rail itself cracked and it meant 228 00:14:26,760 --> 00:14:30,320 Speaker 1: that the train just kind of tipped over gently, fortunately 229 00:14:30,360 --> 00:14:35,000 Speaker 1: because we were going so slowly through South Chicago. We 230 00:14:35,000 --> 00:14:38,160 Speaker 1: were coming up from the Southern and Chicago, and it 231 00:14:37,840 --> 00:14:40,160 Speaker 1: just it just like the train was moving five to 232 00:14:40,240 --> 00:14:42,840 Speaker 1: ten miles an hour whatever it was, it cracked and 233 00:14:42,880 --> 00:14:47,000 Speaker 1: then it just fell over. And everybody was fine, which 234 00:14:47,080 --> 00:14:51,680 Speaker 1: was good, and not every train car fell over, but 235 00:14:51,840 --> 00:14:55,120 Speaker 1: most of them did as a result of that derailment. 236 00:14:55,280 --> 00:14:58,480 Speaker 1: And you think, well, okay, that's a weather element. You 237 00:14:58,520 --> 00:15:01,560 Speaker 1: can't couldn't really predict that, and I don't think that 238 00:15:01,560 --> 00:15:06,200 Speaker 1: that was necessarily human error. But I'm really worried about 239 00:15:06,240 --> 00:15:08,960 Speaker 1: some of the train crashes that we've talked about where 240 00:15:09,040 --> 00:15:13,120 Speaker 1: there was drugs involved, cell phone involved, people who are 241 00:15:13,160 --> 00:15:18,200 Speaker 1: calling you, like the famous commuter the you know, the 242 00:15:18,280 --> 00:15:21,400 Speaker 1: Amtrak train crash that happened because somebody who's on a 243 00:15:21,480 --> 00:15:24,800 Speaker 1: cell phone. Listen to more Coast to Coast AM every 244 00:15:24,840 --> 00:15:28,040 Speaker 1: weeknight at one am Eastern and go to Coast to 245 00:15:28,040 --> 00:15:29,800 Speaker 1: Coast am dot com for more