1 00:00:00,480 --> 00:00:04,760 Speaker 1: It's nice eyes with Dan Ray. I'm going easy Boston's 2 00:00:04,840 --> 00:00:05,440 Speaker 1: News Radio. 3 00:00:06,240 --> 00:00:06,840 Speaker 2: Thank you, Emma. 4 00:00:06,920 --> 00:00:09,760 Speaker 3: It is a WBZ and that side with Dan Ray 5 00:00:09,760 --> 00:00:12,840 Speaker 3: and Bradley Jay in for Dan, and at ten o'clock 6 00:00:12,880 --> 00:00:15,560 Speaker 3: we're gonna talk about Italian cooking and we're gonna teach 7 00:00:15,560 --> 00:00:17,439 Speaker 3: you actually how to cook a couple of fancy dishes 8 00:00:18,200 --> 00:00:20,960 Speaker 3: and also how to make handmade pasta. I know that's 9 00:00:21,040 --> 00:00:23,680 Speaker 3: kind of simple for some, but I've tried it and 10 00:00:23,760 --> 00:00:26,160 Speaker 3: failed a lot, and I'd like to really know how 11 00:00:26,160 --> 00:00:28,520 Speaker 3: to do it. Yes, I know it's just flour and eggs, 12 00:00:29,000 --> 00:00:32,000 Speaker 3: put this is more to it than that. Also a 13 00:00:32,120 --> 00:00:33,839 Speaker 3: saltan buca, do you know what that is? We're going 14 00:00:33,880 --> 00:00:36,920 Speaker 3: to learn how to make that, and some real tiara massou. 15 00:00:37,520 --> 00:00:42,720 Speaker 3: That will be at ten with a fifth generation local 16 00:00:43,159 --> 00:00:48,640 Speaker 3: North End cook. And at nine o'clock we're going to 17 00:00:48,960 --> 00:00:54,000 Speaker 3: talk about the history of public transportation in Boston, way 18 00:00:54,040 --> 00:00:55,720 Speaker 3: back to the very first. Do you know what the 19 00:00:55,800 --> 00:00:58,160 Speaker 3: very first form of public transportation was in Boston. 20 00:00:59,440 --> 00:00:59,880 Speaker 2: It was a. 21 00:01:01,360 --> 00:01:05,720 Speaker 3: Which allowed folks to avoid a two day walk around 22 00:01:06,400 --> 00:01:08,680 Speaker 3: around the peninsula. So that was the very first thing. 23 00:01:08,680 --> 00:01:10,680 Speaker 3: We will take it from that point all the way 24 00:01:10,760 --> 00:01:15,720 Speaker 3: up to this point with the guy who runs the 25 00:01:15,880 --> 00:01:20,600 Speaker 3: an MBTA shop over a mass out between Harvard and 26 00:01:20,760 --> 00:01:23,280 Speaker 3: Heard and Porter. He's all about the NBTA, he's all 27 00:01:23,280 --> 00:01:25,680 Speaker 3: about public transportation. He's going to be fun as well. 28 00:01:26,440 --> 00:01:30,319 Speaker 3: But now we're going to talk with Doug Arian, director 29 00:01:30,360 --> 00:01:33,640 Speaker 3: of Mountains of Stars, and a physics professor about ten 30 00:01:33,800 --> 00:01:38,920 Speaker 3: scientific theories that somehow became unpopular in twenty twenty five. 31 00:01:38,959 --> 00:01:41,840 Speaker 3: I shouldn't say theories, I should say truths. Ten scientific 32 00:01:41,959 --> 00:01:46,240 Speaker 3: truths that somehow in the last year became increasingly unpopular, 33 00:01:47,200 --> 00:01:48,880 Speaker 3: and we're going to go through them and explain why 34 00:01:48,920 --> 00:01:49,920 Speaker 3: they really are true. 35 00:01:51,240 --> 00:01:53,680 Speaker 2: Doug, thanks for being with us. He's calling from. 36 00:01:53,880 --> 00:01:57,360 Speaker 3: Probably from Twin mountains in New Hampshire with lots of 37 00:01:57,360 --> 00:01:58,040 Speaker 3: stars up there. 38 00:01:58,080 --> 00:02:02,440 Speaker 4: Hi, Doug, I'm bradly great to chire with you again. 39 00:02:02,520 --> 00:02:05,360 Speaker 4: And yes we have well we'd have stars if it 40 00:02:05,400 --> 00:02:08,679 Speaker 4: worn't cloudy, but we have snow, so it's a nice 41 00:02:08,680 --> 00:02:09,880 Speaker 4: winter up here in the mountains. 42 00:02:10,440 --> 00:02:16,720 Speaker 2: Now, tell me before we started about Mountains of Stars, so. 43 00:02:18,520 --> 00:02:20,919 Speaker 4: That I run called Mountains of Stars is a public 44 00:02:21,000 --> 00:02:23,520 Speaker 4: science education program where we try to connect people with 45 00:02:23,560 --> 00:02:26,320 Speaker 4: the environment through astronomy. Because if you look up and 46 00:02:26,800 --> 00:02:29,480 Speaker 4: understand where we fit into the very big picture of 47 00:02:29,520 --> 00:02:33,240 Speaker 4: the whole universe we look at. So we do programs 48 00:02:33,720 --> 00:02:37,440 Speaker 4: all over New England, language on programs for over seventy 49 00:02:37,480 --> 00:02:41,080 Speaker 4: five thousand people to try to improve the way we 50 00:02:41,160 --> 00:02:45,040 Speaker 4: work with our environment here and connect people with stars 51 00:02:45,080 --> 00:02:47,160 Speaker 4: and planets and all the other things in the universe. 52 00:02:47,400 --> 00:02:49,840 Speaker 3: And you're a physics professor, so you're able to explain 53 00:02:50,040 --> 00:02:51,560 Speaker 3: things and explain. 54 00:02:51,200 --> 00:02:54,400 Speaker 2: Why they're important. Let's get since we have only one. 55 00:02:54,560 --> 00:02:55,959 Speaker 4: Yeah, that's very important. 56 00:02:56,280 --> 00:03:00,040 Speaker 3: Let's get to the top ten. Truth is the it 57 00:03:00,160 --> 00:03:05,440 Speaker 3: became unpopular this year twenty twenty five. Number one truth 58 00:03:05,560 --> 00:03:08,200 Speaker 3: that became unpopular. It was already sort of unpopular, but 59 00:03:08,240 --> 00:03:09,960 Speaker 3: I guess it became increasingly unpopular. 60 00:03:10,600 --> 00:03:12,440 Speaker 2: The germ theory of disease. 61 00:03:12,680 --> 00:03:15,440 Speaker 3: The germ theory of disease is real and vaccination is 62 00:03:15,480 --> 00:03:19,320 Speaker 3: the safest, most effective strategy to combat these deadly pathogens, 63 00:03:19,600 --> 00:03:20,520 Speaker 3: according to. 64 00:03:20,600 --> 00:03:26,400 Speaker 2: The article in Apple News. And that is still true. 65 00:03:26,440 --> 00:03:27,480 Speaker 2: It's still true. 66 00:03:27,200 --> 00:03:31,280 Speaker 3: That the germ theory of disease is real and vaccination 67 00:03:31,560 --> 00:03:35,760 Speaker 3: is the safest, most effective strategy. Is it true that 68 00:03:35,960 --> 00:03:38,480 Speaker 3: there are people that don't believe in that the diseases 69 00:03:38,480 --> 00:03:41,560 Speaker 3: are caused by germs. 70 00:03:41,840 --> 00:03:45,200 Speaker 4: Yeah, there are still folks out there who who don't 71 00:03:45,200 --> 00:03:49,880 Speaker 4: recognize that, and even more who don't realize how effective 72 00:03:50,520 --> 00:03:55,920 Speaker 4: vaccination is to either reduce the effective disease or prevent 73 00:03:56,000 --> 00:03:58,520 Speaker 4: it from happening in the first place. And we've actually 74 00:03:58,680 --> 00:04:01,360 Speaker 4: been doing vaccinations for hundreds of years, believe it or not. 75 00:04:01,400 --> 00:04:04,360 Speaker 4: If you go back to say, for ticonder Roga during 76 00:04:04,360 --> 00:04:09,840 Speaker 4: the Revolution, they actually intentionally applied smallpox to soldiers in 77 00:04:09,960 --> 00:04:13,320 Speaker 4: small amounts that they wouldn't get the big disease. So 78 00:04:13,720 --> 00:04:15,480 Speaker 4: this is not a new thing. It's not like we 79 00:04:15,680 --> 00:04:18,799 Speaker 4: just invented it. The technology is the better, we've gotten 80 00:04:18,800 --> 00:04:20,560 Speaker 4: better ways of doing it, but we've been doing it 81 00:04:20,600 --> 00:04:21,360 Speaker 4: a very long time. 82 00:04:21,480 --> 00:04:23,920 Speaker 3: Is it the people don't believe in vaccination, or is 83 00:04:23,960 --> 00:04:26,800 Speaker 3: it that they don't believe in the new kind of 84 00:04:27,320 --> 00:04:31,280 Speaker 3: fast track vaccination that was a COVID vaccination, or is 85 00:04:31,320 --> 00:04:32,720 Speaker 3: it more than. 86 00:04:32,600 --> 00:04:36,080 Speaker 4: We're concerned about the fact that that happened so quickly, 87 00:04:36,120 --> 00:04:40,279 Speaker 4: but it didn't actually happen as quickly as pink RNA 88 00:04:40,440 --> 00:04:45,599 Speaker 4: based vaccines mr quork have been going on for many years. 89 00:04:45,600 --> 00:04:49,160 Speaker 4: So everybody was really spun up and ready to develop 90 00:04:49,240 --> 00:04:54,359 Speaker 4: something to target at the COVID virus pretty quickly. So 91 00:04:55,279 --> 00:04:58,400 Speaker 4: it was a trendous accomplishment to make that work, and 92 00:04:58,680 --> 00:04:59,520 Speaker 4: it certainly did. 93 00:05:00,240 --> 00:05:01,280 Speaker 2: Are you enough are. 94 00:05:01,160 --> 00:05:03,480 Speaker 3: You smart enough and enough of a professor to explain 95 00:05:03,520 --> 00:05:08,560 Speaker 3: to me how the RNA vaccinations work or is that 96 00:05:08,560 --> 00:05:12,400 Speaker 3: that's not really your ball your bailiwick, but can you 97 00:05:12,480 --> 00:05:15,000 Speaker 3: explain it? 98 00:05:14,000 --> 00:05:19,080 Speaker 4: It's not my specialty. The basic concept is you you 99 00:05:19,160 --> 00:05:23,560 Speaker 4: introduce something into the body that the body recognizes the 100 00:05:23,560 --> 00:05:26,520 Speaker 4: same way it would recognize the virus, and it builds 101 00:05:26,600 --> 00:05:33,080 Speaker 4: up cells coils that are capable of destroying that by 102 00:05:33,120 --> 00:05:36,120 Speaker 4: triggering that. When you then get exposed to the real virus, 103 00:05:36,160 --> 00:05:39,800 Speaker 4: these t cells come up there enough up before it 104 00:05:39,800 --> 00:05:43,559 Speaker 4: can affect you, and it really works. It's amazing stuff. 105 00:05:43,640 --> 00:05:44,920 Speaker 2: Yeah, I knew, I knew that body. 106 00:05:44,960 --> 00:05:48,320 Speaker 3: I mean is like way way back in Benjamin right 107 00:05:48,600 --> 00:05:53,279 Speaker 3: back in Cotton Mather times. Weren't they doing a little 108 00:05:53,320 --> 00:05:57,560 Speaker 3: bit of that vaccination cowpox type of scratching and it 109 00:05:57,600 --> 00:06:00,360 Speaker 3: worked right right? 110 00:06:00,360 --> 00:06:03,680 Speaker 4: But that was actually using live virus, right and just 111 00:06:03,720 --> 00:06:07,800 Speaker 4: give you at to build up. Now you know, subsequently 112 00:06:07,880 --> 00:06:10,919 Speaker 4: we use what was called killed virus viruses that have 113 00:06:11,000 --> 00:06:13,520 Speaker 4: been modified that they wouldn't make you sick but would 114 00:06:13,560 --> 00:06:17,240 Speaker 4: create the reaction. And mr NA as a whole other 115 00:06:17,320 --> 00:06:22,680 Speaker 4: technology using RNA as opposed to DNA to generate it. 116 00:06:22,720 --> 00:06:25,240 Speaker 4: And I'll admit I don't know the details of it, 117 00:06:25,279 --> 00:06:27,279 Speaker 4: but that's the that's the basic process. 118 00:06:28,120 --> 00:06:30,640 Speaker 3: There are side effects that do we have to respect 119 00:06:30,760 --> 00:06:33,039 Speaker 3: the people who are concerned about the side effects, Like 120 00:06:34,360 --> 00:06:39,480 Speaker 3: some code vaccines, you'd hear reports of enlarged heart and 121 00:06:40,080 --> 00:06:44,039 Speaker 3: other side effects. Why is that not a legitimate concern. 122 00:06:46,680 --> 00:06:50,080 Speaker 4: Well, there are legitimate concerns for everything. But but it's 123 00:06:50,120 --> 00:06:53,440 Speaker 4: also the matter of risks and what you do. So, 124 00:06:53,520 --> 00:06:57,000 Speaker 4: for example, we all drive cars. Even though death by 125 00:06:57,080 --> 00:07:01,479 Speaker 4: cars not all that unlikely, right, it's sufficiently unlikely that 126 00:07:01,560 --> 00:07:04,640 Speaker 4: you're willing to travel by car. And so when we're 127 00:07:04,680 --> 00:07:10,080 Speaker 4: working with things like vaccines, they work for almost everybody. 128 00:07:10,160 --> 00:07:12,600 Speaker 4: And yes, there are who will have a bad reaction 129 00:07:12,720 --> 00:07:15,560 Speaker 4: to it, but as a whole, it is beneficial to 130 00:07:15,680 --> 00:07:20,240 Speaker 4: vaccinate as many people as possible because that prevents the 131 00:07:20,320 --> 00:07:22,680 Speaker 4: transmission of disease. 132 00:07:23,080 --> 00:07:25,840 Speaker 2: Mandatory to vaccinate kids to go to school. 133 00:07:29,200 --> 00:07:33,360 Speaker 4: I think yeah, for for the primary diseases, because it 134 00:07:33,920 --> 00:07:40,080 Speaker 4: has been extremely ect Polio, small, all these different they 135 00:07:40,480 --> 00:07:45,000 Speaker 4: they've basically been wiped out because we've been assured of 136 00:07:45,160 --> 00:07:49,040 Speaker 4: basically eliminating characters who could carry it have been protected, 137 00:07:49,200 --> 00:07:52,600 Speaker 4: and so those diseases have basically been eliminated. And if 138 00:07:52,600 --> 00:07:56,200 Speaker 4: we can do that for everything consistently makes us all 139 00:07:56,240 --> 00:07:57,400 Speaker 4: safer and healthier. 140 00:07:58,160 --> 00:08:01,120 Speaker 3: You know, I want to be fair to people that 141 00:08:01,160 --> 00:08:06,160 Speaker 3: are concerned about something. I try to put myself in 142 00:08:06,400 --> 00:08:09,280 Speaker 3: an anti vaxxer's place, a person that did not want 143 00:08:09,320 --> 00:08:10,840 Speaker 3: to be forced to. 144 00:08:11,480 --> 00:08:13,520 Speaker 2: Have a vaccine or have the kid have a vaccine. 145 00:08:13,560 --> 00:08:17,320 Speaker 3: And I was thinking, what if I truly believed from 146 00:08:17,400 --> 00:08:21,760 Speaker 3: false information that it was dangerous, or even from real information, 147 00:08:21,840 --> 00:08:27,240 Speaker 3: if I truly believed that as jamming something in my 148 00:08:27,360 --> 00:08:34,800 Speaker 3: body would hurt me, I too would probably not be 149 00:08:34,880 --> 00:08:37,680 Speaker 3: too thrilled about that. I would probably revolt against that. 150 00:08:38,640 --> 00:08:44,080 Speaker 3: I think somehow the problem is that there's a there's 151 00:08:44,120 --> 00:08:47,920 Speaker 3: an unfounded fear, or the fear is too much. I mean, 152 00:08:47,920 --> 00:08:52,520 Speaker 3: when when people hear hard enlargement, they don't know that 153 00:08:52,600 --> 00:08:56,000 Speaker 3: it's like three of those per one hundred thousand, whereas 154 00:08:56,080 --> 00:09:00,640 Speaker 3: the exactly where and I just use as an example, 155 00:09:01,400 --> 00:09:05,000 Speaker 3: they don't know that the risks from long COVID far 156 00:09:05,120 --> 00:09:07,600 Speaker 3: out weigh that if there's anyone who wants to take 157 00:09:07,600 --> 00:09:12,640 Speaker 3: either side of this vaccination topic, I'm happy to entertain 158 00:09:12,720 --> 00:09:15,160 Speaker 3: both sides, and I'll tell you why. Honestly, I know 159 00:09:15,240 --> 00:09:19,280 Speaker 3: the vaccination's work. I know that's why measles, smallpox, polio, 160 00:09:19,840 --> 00:09:23,800 Speaker 3: et cetera are virtually non existent. On the other hand, 161 00:09:24,600 --> 00:09:28,199 Speaker 3: do I trust big government? Do I trust big pharma? 162 00:09:28,360 --> 00:09:32,680 Speaker 3: Do I think they're above convincing me that I need 163 00:09:32,720 --> 00:09:33,840 Speaker 3: something that I don't need. 164 00:09:33,960 --> 00:09:35,000 Speaker 2: No, I don't think that. 165 00:09:35,240 --> 00:09:37,800 Speaker 3: I think that the dollar rules, and they would act. 166 00:09:38,120 --> 00:09:41,520 Speaker 3: They would absolutely try to convince me to do this 167 00:09:41,840 --> 00:09:45,440 Speaker 3: and take advantage of a situation to convince me to 168 00:09:45,440 --> 00:09:48,280 Speaker 3: do it. So, of course I get the vaccines because 169 00:09:48,480 --> 00:09:49,920 Speaker 3: the science says I should. 170 00:09:50,360 --> 00:09:53,680 Speaker 2: But not you know, I'm not hook line and sinker. 171 00:09:53,720 --> 00:09:55,920 Speaker 3: I do it because the risk reward tells me I 172 00:09:55,920 --> 00:09:58,959 Speaker 3: should do it, And so I've gotten them all. 173 00:09:59,000 --> 00:10:07,160 Speaker 4: I'm all right, Yeah, I totally agree. You know. It's 174 00:10:07,240 --> 00:10:09,959 Speaker 4: the thing about vaccines that I don't think was well 175 00:10:10,080 --> 00:10:15,640 Speaker 4: explained during COVID was part of getting a vaccine was 176 00:10:15,720 --> 00:10:19,320 Speaker 4: a matter of protecting you, but also kept you from 177 00:10:19,360 --> 00:10:22,840 Speaker 4: being a carrier to spread it to multiple people. So 178 00:10:23,000 --> 00:10:29,080 Speaker 4: part of being vaccinated isn't just protecting yourself. It's protecting others, 179 00:10:30,040 --> 00:10:35,600 Speaker 4: and so it reduces cheap things from becoming epidemics. It's 180 00:10:35,640 --> 00:10:40,720 Speaker 4: not just a matter of and so there's a bigger 181 00:10:40,800 --> 00:10:43,880 Speaker 4: societal aspect of it that I don't think is well explained. 182 00:10:44,200 --> 00:10:46,520 Speaker 4: It's not just oh, well, I've decided I don't want 183 00:10:46,559 --> 00:10:48,840 Speaker 4: to take it. It's like, well, that means you could 184 00:10:48,840 --> 00:10:51,160 Speaker 4: be a care and you could infect a lot of 185 00:10:51,200 --> 00:10:51,760 Speaker 4: other people. 186 00:10:51,840 --> 00:10:53,920 Speaker 2: All right, we need to take a break now, that's. 187 00:10:53,760 --> 00:10:54,840 Speaker 4: Something you want to do. 188 00:10:55,200 --> 00:10:56,240 Speaker 2: We need to take it break now. 189 00:10:56,280 --> 00:10:59,880 Speaker 3: And in the meantime it is kind of a glitchy 190 00:11:00,240 --> 00:11:01,040 Speaker 3: connection that we have. 191 00:11:01,120 --> 00:11:02,000 Speaker 2: It comes in and out. 192 00:11:02,160 --> 00:11:05,400 Speaker 3: I don't know if there's anything you can mcgiver together 193 00:11:05,520 --> 00:11:07,600 Speaker 3: on your end or r end to make it a little better. 194 00:11:07,840 --> 00:11:10,280 Speaker 3: If there is, let's try to do that during the break. 195 00:11:10,559 --> 00:11:13,360 Speaker 3: If not, we'll continue as is. And the next thing 196 00:11:13,440 --> 00:11:19,199 Speaker 3: is about the fact that it was SARS of COVID 197 00:11:19,320 --> 00:11:24,720 Speaker 3: was not a result of the Wuhan wet market. 198 00:11:24,960 --> 00:11:25,720 Speaker 2: I guess it was. 199 00:11:28,080 --> 00:11:31,760 Speaker 3: Not a conspiracy, but somehow in twenty twenty five that 200 00:11:33,520 --> 00:11:36,240 Speaker 3: conspiracy theory kind of kind of moved in again. We'll 201 00:11:36,240 --> 00:11:37,880 Speaker 3: talk a bit about that on WBZ. 202 00:11:39,080 --> 00:11:43,800 Speaker 1: You're on Night Side with Dan Ray on WBZ Boston's news. 203 00:11:43,679 --> 00:11:45,079 Speaker 2: Radio, Bradley J F. 204 00:11:45,160 --> 00:11:47,720 Speaker 3: Dan, We're around with Doug Arian, a physics professor, my 205 00:11:47,800 --> 00:11:50,080 Speaker 3: favorite physics professor. By the way, if you don't you 206 00:11:50,080 --> 00:11:53,040 Speaker 3: don't know this, then you probably don't. Doug makes his 207 00:11:53,120 --> 00:11:57,480 Speaker 3: own telescopes there. He makes big ones. He grinds his 208 00:11:57,480 --> 00:12:00,319 Speaker 3: own glass. He has a little servo motor it so 209 00:12:00,360 --> 00:12:02,480 Speaker 3: they follow the stars as they move across the sky 210 00:12:03,000 --> 00:12:05,200 Speaker 3: or appear to move across the sky. And in his 211 00:12:05,360 --> 00:12:09,160 Speaker 3: little observatory, it's like a garage with a roof that retracts, 212 00:12:09,440 --> 00:12:10,880 Speaker 3: and its way up in the middle of the White 213 00:12:10,920 --> 00:12:14,600 Speaker 3: Mountains in Twin Mountain on a road which probably doesn't 214 00:12:14,640 --> 00:12:19,720 Speaker 3: have landline service, and that's why I guess the sell 215 00:12:19,840 --> 00:12:22,040 Speaker 3: service is a bit spotty. But you know, we'll try 216 00:12:22,080 --> 00:12:28,280 Speaker 3: to continue here. Now we're talking about ten scientific truths 217 00:12:28,280 --> 00:12:31,760 Speaker 3: that somehow became unpopular in twenty twenty five. We started 218 00:12:31,800 --> 00:12:36,600 Speaker 3: out with basically fear of vaccines and folks not really 219 00:12:36,600 --> 00:12:37,760 Speaker 3: believing in germ theory. 220 00:12:38,160 --> 00:12:38,800 Speaker 2: And if you have an. 221 00:12:38,679 --> 00:12:42,040 Speaker 3: Anti vaxxer, I want to give you a platform because 222 00:12:42,120 --> 00:12:44,480 Speaker 3: I don't want to be one sided here. On the 223 00:12:44,559 --> 00:12:49,480 Speaker 3: night side, happy to talk about that. I kind of 224 00:12:49,520 --> 00:12:53,920 Speaker 3: feel your pain. I'm personally gonna get every vaccine. 225 00:12:53,520 --> 00:12:56,319 Speaker 2: Except I will tell you my doctor. 226 00:12:57,320 --> 00:13:02,199 Speaker 3: Told me that he did not recommend the RSV vaccine 227 00:13:02,760 --> 00:13:04,880 Speaker 3: and I asked him why, and I didn't really understand. 228 00:13:05,400 --> 00:13:08,320 Speaker 3: And later he goes, I guess you know, it's okay, 229 00:13:09,080 --> 00:13:11,360 Speaker 3: But now I still have a little doubt about that. 230 00:13:12,480 --> 00:13:16,520 Speaker 3: So I still haven't gotten that one, but I got 231 00:13:16,559 --> 00:13:19,040 Speaker 3: everything else. I got them all. I'm you know, if 232 00:13:19,080 --> 00:13:22,760 Speaker 3: you're going all in, go super all in. I'm vaccinated 233 00:13:22,800 --> 00:13:26,920 Speaker 3: to the teeth. Now we'll talk about COVID again. And 234 00:13:27,000 --> 00:13:32,680 Speaker 3: this is the scientific truth that lost popularity in twenty 235 00:13:32,720 --> 00:13:37,000 Speaker 3: twenty five, that it was not a conspiracy theory. And 236 00:13:37,040 --> 00:13:41,160 Speaker 3: this is reading from the article in the Apple News article. 237 00:13:41,440 --> 00:13:44,400 Speaker 3: In the spring of twenty twenty, infections from a novel 238 00:13:44,520 --> 00:13:47,520 Speaker 3: coronavirus began to spike in country DECREEA. We get that 239 00:13:48,160 --> 00:13:54,080 Speaker 3: Asia Americans, Tens of thousands died, hundreds of thousands, we 240 00:13:54,080 --> 00:13:58,360 Speaker 3: got long COVID and really bad side effects. And around 241 00:13:58,400 --> 00:14:01,120 Speaker 3: the same time, a dishonest narrative no basis in science, 242 00:14:01,160 --> 00:14:03,840 Speaker 3: began appearing that the virus was not a result of 243 00:14:03,840 --> 00:14:07,800 Speaker 3: the natural spillover from nature to humans, but came as 244 00:14:07,800 --> 00:14:10,160 Speaker 3: a result of work that was conducted, Oh I see, 245 00:14:10,320 --> 00:14:14,439 Speaker 3: perhaps in secret at the Wuhan Institute of Virology. 246 00:14:15,360 --> 00:14:15,920 Speaker 4: So what is that? 247 00:14:16,640 --> 00:14:19,680 Speaker 3: How do we know that it's natural and natural spillover? 248 00:14:19,720 --> 00:14:22,080 Speaker 3: And what is a natural spillover? How do we know 249 00:14:22,200 --> 00:14:26,760 Speaker 3: that it did not come from a secret lab in 250 00:14:27,160 --> 00:14:28,520 Speaker 3: Woo in China. 251 00:14:31,560 --> 00:14:35,440 Speaker 4: So we'll talk about with spillovers is that many viruses 252 00:14:36,200 --> 00:14:40,920 Speaker 4: are carried by various creatures. In fact, right now we're 253 00:14:40,960 --> 00:14:45,680 Speaker 4: having bird flu, which is a virus is carried through birds, 254 00:14:45,720 --> 00:14:49,280 Speaker 4: for example. And there are many many creatures that are 255 00:14:49,320 --> 00:14:53,200 Speaker 4: carrying viruses around to which they either have no reaction 256 00:14:53,320 --> 00:14:55,760 Speaker 4: or little reaction. But if if virus gets spilled out 257 00:14:55,800 --> 00:14:58,440 Speaker 4: and gets in, we have a bad reaction to it. 258 00:14:58,720 --> 00:15:02,600 Speaker 4: And this has happened on numerouss and things that we 259 00:15:02,720 --> 00:15:07,760 Speaker 4: get are from viruses that had their origins with other species. 260 00:15:08,440 --> 00:15:10,960 Speaker 4: Remember we share the planet with hundreds of millions of 261 00:15:11,000 --> 00:15:14,920 Speaker 4: other species. You know, things happen. So the way you 262 00:15:14,960 --> 00:15:17,600 Speaker 4: can tell what comes from where and how it's connected 263 00:15:18,160 --> 00:15:21,680 Speaker 4: is something that we've been able to do anolgately recently, 264 00:15:21,760 --> 00:15:25,040 Speaker 4: which is to actually sequence the DNA in them, and 265 00:15:25,080 --> 00:15:27,680 Speaker 4: so you can tag each virus and each kind of 266 00:15:27,760 --> 00:15:33,760 Speaker 4: virus with where it came from. So even during COVID, 267 00:15:33,840 --> 00:15:36,760 Speaker 4: you may remember, there were all these different variants that 268 00:15:36,800 --> 00:15:38,800 Speaker 4: came out. There was the alpha version, and there was 269 00:15:38,840 --> 00:15:42,280 Speaker 4: this version, then the omicron version was the really bad one. 270 00:15:43,160 --> 00:15:47,240 Speaker 4: Each of us is the same kind of virus, was slow, 271 00:15:47,360 --> 00:15:50,680 Speaker 4: different DNA in it. And because of that, they were 272 00:15:50,720 --> 00:15:54,800 Speaker 4: able to actually sequence which versions were affecting which people 273 00:15:54,800 --> 00:16:02,080 Speaker 4: in which places, so you can actually map out ones 274 00:16:02,280 --> 00:16:05,280 Speaker 4: were particularly bad, which ones were easy to transmit, which 275 00:16:05,280 --> 00:16:08,960 Speaker 4: ones made people the sickest, because each of them behaved. 276 00:16:09,160 --> 00:16:13,400 Speaker 4: So that lets you actually start mapping back to what 277 00:16:13,680 --> 00:16:16,760 Speaker 4: the original virus must have looked like because you can 278 00:16:16,760 --> 00:16:19,360 Speaker 4: see each of the variations as they popped up on 279 00:16:20,160 --> 00:16:24,600 Speaker 4: So this incredible ability to do DNA sequencing, which is 280 00:16:24,760 --> 00:16:27,000 Speaker 4: why you can get, you know, do the twenty three 281 00:16:27,040 --> 00:16:29,080 Speaker 4: and me thing, you know, and find out where you 282 00:16:29,120 --> 00:16:33,160 Speaker 4: came from, and all of that, that same technology let 283 00:16:33,400 --> 00:16:39,200 Speaker 4: us understand each virus, what that virus came from, what 284 00:16:39,240 --> 00:16:43,400 Speaker 4: the variations are, and what the sequence is. So really 285 00:16:43,480 --> 00:16:46,120 Speaker 4: amazing chunk of science that lets you work that out 286 00:16:46,440 --> 00:16:51,600 Speaker 4: to determine what the sources of these viruses are. And 287 00:16:51,680 --> 00:16:54,960 Speaker 4: so there's real science, there's really lab work you can 288 00:16:55,000 --> 00:16:57,960 Speaker 4: do to figure this just a matter of well, I 289 00:16:58,000 --> 00:16:59,720 Speaker 4: think it just came from there, and I'm just going 290 00:16:59,800 --> 00:17:03,600 Speaker 4: to say, and that's the difference between science and rumor. 291 00:17:04,800 --> 00:17:10,000 Speaker 4: So so that sequencing technique was very in understanding and 292 00:17:10,040 --> 00:17:15,760 Speaker 4: then managing what happened with COVID and any other major 293 00:17:15,880 --> 00:17:17,120 Speaker 4: widespread viruses. 294 00:17:17,960 --> 00:17:21,879 Speaker 3: Is that a little bit like when you do the 295 00:17:22,440 --> 00:17:26,359 Speaker 3: genetic testing to see about your ancestry, they they. 296 00:17:26,200 --> 00:17:29,399 Speaker 4: Can track exactly it's the same same exact thing, the 297 00:17:30,280 --> 00:17:31,800 Speaker 4: same kind of chemistry. 298 00:17:31,760 --> 00:17:34,840 Speaker 2: Yeah, and it didn't come from Wuhan, China, came from 299 00:17:36,440 --> 00:17:37,240 Speaker 2: some spill over. 300 00:17:37,640 --> 00:17:40,360 Speaker 4: Well, it did come from it. I mean, it did 301 00:17:40,400 --> 00:17:44,679 Speaker 4: come from China, but it came from animals in China. 302 00:17:44,920 --> 00:17:48,120 Speaker 4: It did not come from somebody trying to make that 303 00:17:48,280 --> 00:17:51,840 Speaker 4: virus in a lab. It came from an animal source, 304 00:17:52,520 --> 00:17:59,000 Speaker 4: and that animal source virus then through passing through various humans, 305 00:17:59,040 --> 00:18:02,160 Speaker 4: we got all these differ, diferent variations. Those variations all 306 00:18:02,200 --> 00:18:07,320 Speaker 4: travel around very very quickly, and there were some outstanding 307 00:18:07,320 --> 00:18:10,120 Speaker 4: studies back there. It's just reading about one today which 308 00:18:10,160 --> 00:18:13,960 Speaker 4: talked about the different kinds of people and the amounts 309 00:18:14,000 --> 00:18:17,399 Speaker 4: of liquids that have you when you're speaking right, the 310 00:18:17,440 --> 00:18:20,560 Speaker 4: little droplets that come out, and how those carried the virus, 311 00:18:21,000 --> 00:18:24,159 Speaker 4: and which ones carried the virus farther that allowed it 312 00:18:24,200 --> 00:18:27,240 Speaker 4: to reach to more people, and then those people became 313 00:18:27,320 --> 00:18:30,520 Speaker 4: carriers to further people. In each of those versions was 314 00:18:30,560 --> 00:18:33,520 Speaker 4: a different, slightly different version of the virus, and we 315 00:18:33,520 --> 00:18:37,719 Speaker 4: can map all of that wicked coold. 316 00:18:38,680 --> 00:18:42,640 Speaker 3: But do you believe that countries do manufacture viruses? Though 317 00:18:42,960 --> 00:18:46,760 Speaker 3: I would think they would. Chemical warfare, viral biological warfare, 318 00:18:47,320 --> 00:18:48,440 Speaker 3: that does happen. 319 00:18:48,240 --> 00:18:57,280 Speaker 4: Right, Things get sequenced, things get put together. I'm I'm 320 00:18:57,280 --> 00:19:01,960 Speaker 4: not aware of folks making actual viruses, which are more 321 00:19:02,000 --> 00:19:05,320 Speaker 4: than just a DNA strand, Right, You've got to build 322 00:19:05,359 --> 00:19:08,800 Speaker 4: the appropriate DNA and RNA combinations. They then have to 323 00:19:08,840 --> 00:19:12,600 Speaker 4: go into the right protein. There's a lot of stuff 324 00:19:12,600 --> 00:19:17,280 Speaker 4: that goes into actually making a virus that's different than 325 00:19:18,200 --> 00:19:23,320 Speaker 4: making parts that go into it. And I'm not a biologist, 326 00:19:24,240 --> 00:19:27,960 Speaker 4: so I'm not a specialist at doing that kind of science. 327 00:19:28,040 --> 00:19:35,080 Speaker 4: I understand the sequencing process, the ability to create individual molecules, 328 00:19:35,560 --> 00:19:39,359 Speaker 4: but actually building a virus from scratch and putting that 329 00:19:39,440 --> 00:19:42,000 Speaker 4: out into the environment. That would take a lot. 330 00:19:42,560 --> 00:19:44,320 Speaker 3: All right, well, let's take a break and talk about 331 00:19:45,680 --> 00:19:49,679 Speaker 3: one thing that I noticed in twenty twenty five people 332 00:19:50,200 --> 00:19:56,120 Speaker 3: used peer review or passing peer review or not passing 333 00:19:56,160 --> 00:19:59,880 Speaker 3: peer review a reason to doubt science. And that needs 334 00:19:59,880 --> 00:20:02,360 Speaker 3: some explanation and hopefully you'll give it to us after 335 00:20:02,400 --> 00:20:04,159 Speaker 3: this break on w b Z. 336 00:20:05,760 --> 00:20:10,040 Speaker 1: You're on Night Side with Dan Ray on WBZ Boston's 337 00:20:10,080 --> 00:20:10,720 Speaker 1: News Radio. 338 00:20:11,119 --> 00:20:15,120 Speaker 3: Let's continue with Doug Arion, professor of physics and astronomer 339 00:20:15,160 --> 00:20:19,960 Speaker 3: and much more. And being a scientist, he's very familiar 340 00:20:20,000 --> 00:20:25,199 Speaker 3: with a thing called peer review, and peer review is 341 00:20:25,200 --> 00:20:30,960 Speaker 3: something that has been used by science doubters and conspiracy 342 00:20:31,040 --> 00:20:39,560 Speaker 3: theorists to discredit scientific theories and even settled science. Can 343 00:20:39,600 --> 00:20:43,640 Speaker 3: you explain what peer review really is and how it's 344 00:20:43,800 --> 00:20:49,240 Speaker 3: used to buy sort of anti science people to discredit 345 00:20:49,400 --> 00:20:51,359 Speaker 3: scientific theory and fact. 346 00:20:53,680 --> 00:20:58,080 Speaker 4: Sure, So I'm a scientist. I do research. When I 347 00:20:58,520 --> 00:21:00,760 Speaker 4: come to some conclusion that I will to publish, I 348 00:21:00,800 --> 00:21:04,359 Speaker 4: write up a paper and I submit that to a journal. 349 00:21:05,440 --> 00:21:08,960 Speaker 4: And what that journal editor then does is send that 350 00:21:09,080 --> 00:21:12,240 Speaker 4: paper with your name removed, so it's cold blind, so 351 00:21:12,320 --> 00:21:15,000 Speaker 4: nobody knows who wrote it. And that is sent out 352 00:21:15,040 --> 00:21:19,159 Speaker 4: to several other people who are researchers in a similar field. 353 00:21:19,840 --> 00:21:22,440 Speaker 4: They read the paper and they critique it. They'll look 354 00:21:22,480 --> 00:21:25,800 Speaker 4: at it and say, okay, does the method seem reasonable 355 00:21:27,480 --> 00:21:30,480 Speaker 4: to the conclusions that the author thinks they lead to? 356 00:21:31,520 --> 00:21:35,200 Speaker 4: Did the steps seem to be taken correctly? And if 357 00:21:35,200 --> 00:21:39,200 Speaker 4: they agree to that, then the paper gets published. Find 358 00:21:39,240 --> 00:21:42,080 Speaker 4: problems with it, which is most of the time, they'll 359 00:21:42,119 --> 00:21:44,399 Speaker 4: send questions back to the author and say, well, you know, 360 00:21:44,440 --> 00:21:47,000 Speaker 4: could you please explain step two over here? It seems 361 00:21:47,040 --> 00:21:50,439 Speaker 4: like that'slishenable, and you would edit the paper and this 362 00:21:50,560 --> 00:21:53,879 Speaker 4: might go back and forth three, four, five times, and 363 00:21:54,240 --> 00:21:58,679 Speaker 4: if you meet reviewers think needs to be fixed, the 364 00:21:58,720 --> 00:22:04,560 Speaker 4: paper then gets published. That then makes it available to everybody, 365 00:22:04,640 --> 00:22:06,640 Speaker 4: to the entire side of the community, who will then 366 00:22:06,880 --> 00:22:11,800 Speaker 4: read that paper and will consider it as part of 367 00:22:11,880 --> 00:22:14,560 Speaker 4: the literature and say, okay, what does this mean? Is 368 00:22:14,640 --> 00:22:17,119 Speaker 4: this right? Can I use this in my research? And 369 00:22:17,160 --> 00:22:21,480 Speaker 4: so on? Now, the process of sciencespecch that with each 370 00:22:21,600 --> 00:22:24,240 Speaker 4: step we thought things that we thought were right but 371 00:22:24,359 --> 00:22:27,440 Speaker 4: turn out not to be right. We say, okay, this 372 00:22:27,520 --> 00:22:30,200 Speaker 4: is going on, this is what I published. Somebody does 373 00:22:30,240 --> 00:22:32,640 Speaker 4: some more work on it and comes back and goes, well, 374 00:22:32,640 --> 00:22:35,080 Speaker 4: that's what you thought, but this is actually what's better, 375 00:22:35,119 --> 00:22:39,080 Speaker 4: and they publish a paper that advanced as the science. 376 00:22:39,080 --> 00:22:41,119 Speaker 4: And this is what goes on over and over and 377 00:22:41,119 --> 00:22:41,600 Speaker 4: over again. 378 00:22:43,040 --> 00:22:46,840 Speaker 3: Review is let me see if I understand sure, a 379 00:22:47,080 --> 00:22:50,600 Speaker 3: scientist comes up with a theory and a method of 380 00:22:50,600 --> 00:22:55,280 Speaker 3: testing the theory, and before actually doing the real testing, 381 00:22:55,920 --> 00:22:59,360 Speaker 3: he he or she writes it up, sends it out 382 00:22:59,359 --> 00:23:03,040 Speaker 3: to their years to say, look, does this look kind 383 00:23:03,040 --> 00:23:06,720 Speaker 3: of reasonable? Is this is this crazy? H does this 384 00:23:06,880 --> 00:23:11,000 Speaker 3: method of researching it look right? And in no way 385 00:23:11,080 --> 00:23:14,800 Speaker 3: has anyone decided that that is now scientific fact. It's 386 00:23:14,960 --> 00:23:19,399 Speaker 3: just checking up on It's like it's like openers in 387 00:23:19,440 --> 00:23:22,000 Speaker 3: a card game, or it's like probable cause? Is there 388 00:23:22,119 --> 00:23:25,800 Speaker 3: enough cause, probable cause to go forward with this? And 389 00:23:25,840 --> 00:23:32,280 Speaker 3: what happens is people just because enough legitimacy was found 390 00:23:32,320 --> 00:23:35,800 Speaker 3: to go forward with that, and they if they do 391 00:23:35,880 --> 00:23:38,159 Speaker 3: go forward with it and find out, well, the theory 392 00:23:38,440 --> 00:23:43,199 Speaker 3: didn't really work out we tested it. It really was wrong. Naysayers. 393 00:23:43,240 --> 00:23:49,320 Speaker 3: Scientific naysayers will use that as an example of science 394 00:23:49,400 --> 00:23:51,840 Speaker 3: is wrong. You can't depend on science. Science is wrong 395 00:23:51,880 --> 00:23:57,639 Speaker 3: when that's really not has not been established as a 396 00:23:57,720 --> 00:24:00,800 Speaker 3: scientific fact, yet it's not wrong. That's part of the 397 00:24:00,840 --> 00:24:04,000 Speaker 3: process of deciding if it's wrong. But they're using that 398 00:24:04,040 --> 00:24:07,200 Speaker 3: process in an early step to say science is no 399 00:24:07,240 --> 00:24:12,000 Speaker 3: good anymore. Really, and that's not a that's not and 400 00:24:12,080 --> 00:24:15,399 Speaker 3: an inflation. That's true. They don't want they don't like 401 00:24:15,440 --> 00:24:18,919 Speaker 3: the scientific method anymore. And that's something that a belief 402 00:24:18,920 --> 00:24:21,440 Speaker 3: that increased in the last year twenty twenty five. 403 00:24:21,880 --> 00:24:23,680 Speaker 2: Do I have that kind of correct. 404 00:24:23,600 --> 00:24:27,960 Speaker 4: Well, yeah, that's the basic idea. You know, this idea 405 00:24:28,000 --> 00:24:30,760 Speaker 4: of peer review goes back hundreds of years with the 406 00:24:30,840 --> 00:24:35,480 Speaker 4: Royal Society four hundred years ago. That you know, research 407 00:24:35,520 --> 00:24:40,400 Speaker 4: we represented and people would critique it before it would 408 00:24:40,400 --> 00:24:44,560 Speaker 4: be published, and that it's an important step and that 409 00:24:44,720 --> 00:24:48,000 Speaker 4: the method of science works even though each of the 410 00:24:48,040 --> 00:24:52,919 Speaker 4: things we discover improves upon or even invalidates a prior idea. 411 00:24:53,520 --> 00:24:56,280 Speaker 4: I mean, everything we know from Isaac Newton, everything Isaac 412 00:24:56,320 --> 00:25:01,040 Speaker 4: Newton did, is actually wrong right because they now but 413 00:25:01,680 --> 00:25:05,280 Speaker 4: it works. I mean your tennis player, basketball player only 414 00:25:05,280 --> 00:25:07,760 Speaker 4: needs to use Newton to put the ball in the 415 00:25:07,800 --> 00:25:10,880 Speaker 4: right place, but once you go into spaceflight you need 416 00:25:10,880 --> 00:25:13,760 Speaker 4: what Einstein did. Newton is wrong. 417 00:25:14,600 --> 00:25:16,200 Speaker 3: That'd be this would be great for you to do. 418 00:25:16,560 --> 00:25:18,200 Speaker 3: How was Newton wrong about everything? 419 00:25:20,400 --> 00:25:24,480 Speaker 4: Well, Newton's theories work if you're not moving too fast. 420 00:25:25,600 --> 00:25:29,760 Speaker 4: If you move fast, and this gets into complicated things. 421 00:25:30,119 --> 00:25:34,919 Speaker 4: Ogine showed is, for example, distances and masses and time change. 422 00:25:34,960 --> 00:25:38,040 Speaker 4: When you're moving very fast, it's called relativity. But if 423 00:25:38,040 --> 00:25:40,520 Speaker 4: you're not moving that fast, and it's fast, we're talking 424 00:25:40,520 --> 00:25:43,119 Speaker 4: about compared to the speed of light, so crazy fast. 425 00:25:43,320 --> 00:25:46,520 Speaker 4: If you're not moving that fast, you can use a 426 00:25:46,600 --> 00:25:50,520 Speaker 4: simpler explanation, the explanation that Newton had, and it works 427 00:25:50,600 --> 00:25:53,760 Speaker 4: just fine. It's just once you start moving faster, or 428 00:25:53,800 --> 00:25:56,520 Speaker 4: you're in very strong gravity, like around a black hole, 429 00:25:57,040 --> 00:25:59,320 Speaker 4: or you're looking at things on the scale of galaxies. 430 00:26:00,040 --> 00:26:03,040 Speaker 4: If you calculate it using Newton's theory, you get close, 431 00:26:03,119 --> 00:26:05,480 Speaker 4: but not quite. If you use Einstein's theory, you get 432 00:26:05,520 --> 00:26:09,679 Speaker 4: the right numbers. And so we know that Einstein's explanation 433 00:26:09,800 --> 00:26:13,840 Speaker 4: of special and general relativity is a more accurate description 434 00:26:14,560 --> 00:26:18,879 Speaker 4: of how the universe works than Newton's description. So the 435 00:26:18,960 --> 00:26:23,760 Speaker 4: fact that Newton's worked for hundreds of years until we 436 00:26:23,840 --> 00:26:26,280 Speaker 4: discover like, oh, wait a minute, if you go fast enough, 437 00:26:27,560 --> 00:26:30,800 Speaker 4: you're oh, Einstein figured out what you do under those sences. 438 00:26:32,000 --> 00:26:35,960 Speaker 3: Are there any examples of in real life where we 439 00:26:36,080 --> 00:26:39,560 Speaker 3: have done anything that went fast enough so that Newton's 440 00:26:39,640 --> 00:26:43,040 Speaker 3: theories did not work? Do you have we gotten close 441 00:26:43,119 --> 00:26:47,440 Speaker 3: to a black hole so that Newton's science didn't work anymore, 442 00:26:47,680 --> 00:26:50,119 Speaker 3: or were still in the in the theoretical stage. 443 00:26:50,160 --> 00:26:52,480 Speaker 4: You don't even You don't even have to go that extreme. 444 00:26:53,440 --> 00:26:57,680 Speaker 4: Everybody uses GPS, which is like the tool that everybody 445 00:26:57,760 --> 00:27:00,080 Speaker 4: uses to get everywhere. Right, You use maps on your 446 00:27:00,080 --> 00:27:03,320 Speaker 4: phone or in your car to get someplace. The JEEP 447 00:27:03,359 --> 00:27:07,520 Speaker 4: satellites actually have to use their computers when they send 448 00:27:07,600 --> 00:27:12,800 Speaker 4: signals down, actually use Einstein's equations and not Newton's equations. 449 00:27:13,000 --> 00:27:16,560 Speaker 4: If you don't use Einstein's equations, your airplane misses the runway. 450 00:27:17,480 --> 00:27:18,480 Speaker 2: That's no good. 451 00:27:18,560 --> 00:27:21,199 Speaker 4: So you actually use it every single day. You just 452 00:27:21,200 --> 00:27:23,640 Speaker 4: don't know it. It's being done for you because those 453 00:27:23,680 --> 00:27:28,320 Speaker 4: satellites are in gravity and they're traveling for that. So 454 00:27:28,359 --> 00:27:31,359 Speaker 4: if you don't correct for that, you don't get the 455 00:27:31,440 --> 00:27:33,920 Speaker 4: right position, all right, So you actually use it every day, 456 00:27:34,000 --> 00:27:34,800 Speaker 4: you just don't know it. 457 00:27:35,119 --> 00:27:39,240 Speaker 3: Speaking of satellites, another truth which became I guess less 458 00:27:39,280 --> 00:27:46,120 Speaker 3: popular in twenty twenty five is that Earth's orbit has 459 00:27:46,160 --> 00:27:49,840 Speaker 3: a finite carrying ability for satellites. 460 00:27:49,960 --> 00:27:54,280 Speaker 2: In other words, in the orbit orbital. 461 00:27:53,960 --> 00:27:58,040 Speaker 3: Altitude that satellites work in, there's only so much room 462 00:27:58,560 --> 00:28:03,800 Speaker 3: and you can and we're approaching the maximum satellites that 463 00:28:03,840 --> 00:28:04,560 Speaker 3: you can put. 464 00:28:04,400 --> 00:28:07,119 Speaker 2: In there, and once you exceed that, you could. 465 00:28:07,040 --> 00:28:10,080 Speaker 3: Run into something called the Kessler syndrome, which is a 466 00:28:10,080 --> 00:28:14,560 Speaker 3: disastrous thing. Can you elaborate on that and talk about 467 00:28:15,000 --> 00:28:16,959 Speaker 3: what happens if there are too many and the Kessler 468 00:28:17,040 --> 00:28:18,040 Speaker 3: syndrome kicks in? 469 00:28:20,119 --> 00:28:23,880 Speaker 4: Sure, So just envision highways that you drive on all 470 00:28:23,920 --> 00:28:26,560 Speaker 4: the time. When you have highways that don't have a 471 00:28:26,600 --> 00:28:28,840 Speaker 4: lot of tram cars on them, but they're not all 472 00:28:28,840 --> 00:28:33,119 Speaker 4: they're near each other traffic moodally, there's no real problems 473 00:28:33,720 --> 00:28:39,320 Speaker 4: and accidents. A lot of cars in a smaller road, 474 00:28:39,720 --> 00:28:42,480 Speaker 4: or too many cars on a road, the probability of 475 00:28:42,520 --> 00:28:45,560 Speaker 4: having an accident gets through pretty high. And if things 476 00:28:45,600 --> 00:28:47,840 Speaker 4: are moving fast enough and two cars at each other, 477 00:28:48,400 --> 00:28:51,400 Speaker 4: that tends to create a chain reaction because other cars 478 00:28:51,480 --> 00:28:55,240 Speaker 4: run into them. And you've seen accidents like that all 479 00:28:55,280 --> 00:28:58,360 Speaker 4: the time. Well, the same thing's happening in space. And 480 00:28:58,440 --> 00:29:02,440 Speaker 4: so these large groups of satellites that are being flown 481 00:29:02,600 --> 00:29:07,840 Speaker 4: to supply Internet, so Starlink, one web Kuyper, all these 482 00:29:07,880 --> 00:29:13,640 Speaker 4: different satellites, the narrow band of altitude, they're filling that 483 00:29:13,760 --> 00:29:18,000 Speaker 4: up with satellites and we only have right now and 484 00:29:18,120 --> 00:29:19,920 Speaker 4: up there we're looking at maybe one hundred to one 485 00:29:19,960 --> 00:29:23,160 Speaker 4: hundred and fifty thousand satellites up there. Remember they're all 486 00:29:23,160 --> 00:29:27,880 Speaker 4: moving seventeen thousand miles an hour. So the two of 487 00:29:27,920 --> 00:29:34,160 Speaker 4: these things happened, that'll create debris. The same way when 488 00:29:34,200 --> 00:29:35,760 Speaker 4: you have two cars at each other and you have 489 00:29:35,800 --> 00:29:39,400 Speaker 4: a lot of stuff spread all over the road. Well, 490 00:29:39,640 --> 00:29:42,719 Speaker 4: thing that comes along smashes into that debris and gets broken, 491 00:29:42,800 --> 00:29:45,120 Speaker 4: and the next one smashes into it and gets broken, 492 00:29:45,360 --> 00:29:47,480 Speaker 4: and all of a sudden you have one of these 493 00:29:47,520 --> 00:29:52,120 Speaker 4: catastrophic collections of accidents. Well that's what the Kesseler syndrome is. 494 00:29:52,200 --> 00:29:54,680 Speaker 4: It says, well, if you have a collision and it 495 00:29:54,720 --> 00:29:57,560 Speaker 4: creates a field of broken parts, and the next thing 496 00:29:57,600 --> 00:29:59,560 Speaker 4: that comes through hits that and that breaks up. That 497 00:29:59,600 --> 00:30:02,720 Speaker 4: makes the con parts even bigger. And that just aids 498 00:30:02,800 --> 00:30:04,880 Speaker 4: until the point is that you start descrying all the 499 00:30:04,920 --> 00:30:05,800 Speaker 4: satellites so you can. 500 00:30:05,720 --> 00:30:08,600 Speaker 3: Have a multic You could have a multi car pile 501 00:30:08,680 --> 00:30:13,200 Speaker 3: up out in space. Where satellites study crashing into each 502 00:30:13,240 --> 00:30:15,000 Speaker 3: other in a chain reaction. 503 00:30:16,920 --> 00:30:21,560 Speaker 4: Exactly, and so already, believe it or not, the satellites 504 00:30:21,680 --> 00:30:24,480 Speaker 4: up there have to maneuver. There are hundreds of maneuvers 505 00:30:24,480 --> 00:30:28,240 Speaker 4: a day every day. Right now, what are satellites we 506 00:30:28,320 --> 00:30:30,560 Speaker 4: have there? Where satellites have the moves, they don't hit, 507 00:30:31,720 --> 00:30:35,560 Speaker 4: So imagine what happens when we jam that up, Like 508 00:30:36,520 --> 00:30:38,800 Speaker 4: you know ninety three in Boston in the tunnel, when 509 00:30:38,840 --> 00:30:42,800 Speaker 4: you put too many cars, it happens. That's what's happening 510 00:30:42,880 --> 00:30:49,080 Speaker 4: up there. So there are a lot of concerns about it. Unfortunately, 511 00:30:49,440 --> 00:30:52,760 Speaker 4: there isn't a really good set of regulations or treaties 512 00:30:53,280 --> 00:30:56,400 Speaker 4: for dealing with this. And I'm actually on a major 513 00:30:56,400 --> 00:31:00,240 Speaker 4: international committee that's working on this, and there's a big 514 00:31:00,240 --> 00:31:04,360 Speaker 4: group that is approaching you say, look, we need to 515 00:31:04,400 --> 00:31:09,680 Speaker 4: start putting some rules and REGs together, basically creating traffic laws. 516 00:31:09,720 --> 00:31:13,680 Speaker 4: Like we have other highways, you know, like who has 517 00:31:13,800 --> 00:31:16,120 Speaker 4: right way and how do you enter a highway and 518 00:31:16,120 --> 00:31:17,920 Speaker 4: how do you exit a highway. We don't have that 519 00:31:18,000 --> 00:31:20,000 Speaker 4: for space. We need to have that for space. 520 00:31:20,200 --> 00:31:24,760 Speaker 3: Do you have any hope that you can defeat big money, 521 00:31:24,920 --> 00:31:28,400 Speaker 3: that you can defeat the elon musks who control the government. 522 00:31:29,440 --> 00:31:33,120 Speaker 3: When big money is at stake, can an organization like 523 00:31:33,160 --> 00:31:34,000 Speaker 3: the one you're a part of. 524 00:31:34,240 --> 00:31:36,120 Speaker 2: Really do anything. 525 00:31:36,720 --> 00:31:39,040 Speaker 3: Don't you know in the back of in your heart 526 00:31:39,360 --> 00:31:40,880 Speaker 3: that they're just going to keep doing it and tell 527 00:31:40,920 --> 00:31:44,400 Speaker 3: the Kessler effect until it takes place, until there's a 528 00:31:44,520 --> 00:31:45,600 Speaker 3: huge crash up there. 529 00:31:47,760 --> 00:31:51,600 Speaker 4: I guess, unfortunately, I don't have a lot of hope 530 00:31:52,280 --> 00:31:55,000 Speaker 4: for actually solving these things. In fact, there are more 531 00:31:55,080 --> 00:31:58,040 Speaker 4: companies that are planning to put up more different kinds 532 00:31:58,080 --> 00:32:01,640 Speaker 4: of things. So there's a company that's looking to fly 533 00:32:02,240 --> 00:32:05,840 Speaker 4: a whole series of huge mirrors, and they're going to 534 00:32:05,920 --> 00:32:09,240 Speaker 4: fly them so that they can bounce sunlight onto solar 535 00:32:09,320 --> 00:32:14,200 Speaker 4: arrays even during the dark, to keep solar arrays going. 536 00:32:14,400 --> 00:32:17,160 Speaker 4: Is that if you're happen to be under where one 537 00:32:17,200 --> 00:32:19,360 Speaker 4: of these things is, you're going to be in blinding 538 00:32:19,480 --> 00:32:22,120 Speaker 4: bright light in the middle of the. 539 00:32:22,160 --> 00:32:24,240 Speaker 2: Night twenty four to seven. It's going to hap. 540 00:32:24,320 --> 00:32:26,920 Speaker 4: You think that's a great idea, But there's a company 541 00:32:28,160 --> 00:32:30,640 Speaker 4: and right now we don't have any rules to stop 542 00:32:30,680 --> 00:32:33,720 Speaker 4: somebody from doing that. So that there are all these 543 00:32:33,720 --> 00:32:37,720 Speaker 4: different things, not just the stabber communications, but all these 544 00:32:37,800 --> 00:32:42,120 Speaker 4: other things that people are trying to do that have 545 00:32:43,360 --> 00:32:47,120 Speaker 4: major environmental implications on the ground and in space. 546 00:32:47,280 --> 00:32:52,120 Speaker 3: One quick question, what is that altitude range for that 547 00:32:52,280 --> 00:32:54,840 Speaker 3: satellites can be effective in? How many feet is the 548 00:32:55,240 --> 00:32:57,080 Speaker 3: is the bottom and how many feet is the ceiling? 549 00:32:59,240 --> 00:33:02,360 Speaker 4: Well, the bottom is it's a range of several hundred 550 00:33:02,400 --> 00:33:06,240 Speaker 4: miles a couple hundred miles up, so from you know, 551 00:33:06,280 --> 00:33:09,160 Speaker 4: one hundred and fifty to five hundred miles something like that. 552 00:33:09,640 --> 00:33:12,960 Speaker 4: It is a range through which most of these things go. 553 00:33:13,240 --> 00:33:15,160 Speaker 4: But you know, the two hundred two hundred and fifty 554 00:33:15,200 --> 00:33:18,560 Speaker 4: mile range is pretty common. So it's in that range 555 00:33:18,600 --> 00:33:21,760 Speaker 4: of a couple hundred miles, which sounds like it's big, 556 00:33:21,800 --> 00:33:25,760 Speaker 4: but when you're moving seventeen thousand miles an hour, that's 557 00:33:25,800 --> 00:33:26,360 Speaker 4: not that far. 558 00:33:27,240 --> 00:33:29,200 Speaker 3: And how many of them are already up there? And 559 00:33:29,240 --> 00:33:34,760 Speaker 3: what percent of that is the max? Like how many 560 00:33:34,800 --> 00:33:37,440 Speaker 3: can what is the max that can fit up there? 561 00:33:39,920 --> 00:33:44,280 Speaker 4: Well, that's a good question. I'm not sure that number offhand. 562 00:33:44,800 --> 00:33:49,520 Speaker 4: There are experts in that who work that out right now, 563 00:33:49,560 --> 00:33:53,320 Speaker 4: I believe, Well, there's about fourteen thousand active satellites. There 564 00:33:53,320 --> 00:33:57,120 Speaker 4: are some sixty thousand pieces of satellite and satellite debris 565 00:33:57,240 --> 00:33:59,760 Speaker 4: that are being tracked. So it's not just the satellites. 566 00:33:59,800 --> 00:34:02,880 Speaker 4: When you have old satellites, you have dead birds, you 567 00:34:03,000 --> 00:34:08,160 Speaker 4: have debris from launching things, launch vehicles. There's a lot 568 00:34:08,239 --> 00:34:10,719 Speaker 4: more up there than just these satellites, which makes the 569 00:34:10,760 --> 00:34:15,080 Speaker 4: problem even worse as you can imagine. So I'm not 570 00:34:15,120 --> 00:34:18,000 Speaker 4: sure what the total number, what that capacity really is, 571 00:34:19,640 --> 00:34:25,880 Speaker 4: but with all the maneuvers we have to have and 572 00:34:28,360 --> 00:34:33,320 Speaker 4: what the projected number of spacecraft is is pretty scary. 573 00:34:33,400 --> 00:34:35,840 Speaker 3: One quick one more question about that before the break, 574 00:34:36,560 --> 00:34:39,600 Speaker 3: and that is if there is one of these Kessler 575 00:34:39,640 --> 00:34:43,680 Speaker 3: effect chain reaction satellite collisions, like a big pile up 576 00:34:43,680 --> 00:34:48,040 Speaker 3: on a winter highway in Colorado, and if airlines depend 577 00:34:48,120 --> 00:34:51,799 Speaker 3: on that GPS to hit the runway, could that cause 578 00:34:51,840 --> 00:34:56,440 Speaker 3: a catastrophic group of airline crashes if the Kessler effects 579 00:34:57,280 --> 00:34:58,040 Speaker 3: comes to pass. 580 00:35:02,040 --> 00:35:07,879 Speaker 4: I have to look at what the altitude is for 581 00:35:08,000 --> 00:35:12,040 Speaker 4: all the GPS satellites. I believe the GPS satellites are 582 00:35:12,080 --> 00:35:16,600 Speaker 4: operating in a way that would not be affected by 583 00:35:16,640 --> 00:35:19,880 Speaker 4: that directly. Now, depending on how big that cloud a 584 00:35:19,920 --> 00:35:22,680 Speaker 4: debris is, that could spread out and start taking out 585 00:35:22,719 --> 00:35:26,480 Speaker 4: all sorts of things. So it depends how big that 586 00:35:26,560 --> 00:35:29,920 Speaker 4: cloud would be. But it's ps, then all sorts of 587 00:35:30,000 --> 00:35:31,960 Speaker 4: things become a problem. 588 00:35:32,000 --> 00:35:33,000 Speaker 2: I'm surprised we haven't. 589 00:35:33,280 --> 00:35:34,640 Speaker 4: It's just radio interference. 590 00:35:34,760 --> 00:35:37,680 Speaker 3: I'm surprised that we haven't had satellite warfare yet. So 591 00:35:37,760 --> 00:35:43,200 Speaker 3: much so much is increasingly depending on satellites and navigation 592 00:35:43,680 --> 00:35:48,000 Speaker 3: for drone use, which is increasingly popular. I'm surprised we 593 00:35:48,200 --> 00:35:51,279 Speaker 3: haven't seen more killer satellites or attempts to kill satellites. 594 00:35:51,440 --> 00:35:52,799 Speaker 3: I don't need you to answer that, and. 595 00:35:52,840 --> 00:35:57,200 Speaker 4: Let well we have. We actually have. We actually have 596 00:35:58,800 --> 00:36:04,720 Speaker 4: not directly against other country satellites, but launched and destroyed 597 00:36:04,719 --> 00:36:08,600 Speaker 4: one of their own satellites a year ago last October, 598 00:36:09,600 --> 00:36:13,279 Speaker 4: an anti satellite weapon, which by the way, created a 599 00:36:13,320 --> 00:36:17,680 Speaker 4: big cloud of broken satellite parts, attributing factor to the 600 00:36:17,719 --> 00:36:22,800 Speaker 4: space debris problem. The Chinese also did one, so countries 601 00:36:22,880 --> 00:36:26,120 Speaker 4: are demonstrating that they have the ability to launch something 602 00:36:26,200 --> 00:36:28,200 Speaker 4: and take out a satellite pretty sooner. 603 00:36:28,280 --> 00:36:29,719 Speaker 2: I have to have a satellite. 604 00:36:30,440 --> 00:36:34,799 Speaker 3: It's a real one satellite weapon band treaty, just like 605 00:36:35,200 --> 00:36:37,799 Speaker 3: we had a nuclear test band treaty. Let's take that 606 00:36:37,840 --> 00:36:40,640 Speaker 3: break I've been promising, and we'll finish up with Doug 607 00:36:40,719 --> 00:36:42,360 Speaker 3: in a moment on WBZ. 608 00:36:43,600 --> 00:36:50,560 Speaker 1: Night Side with Dan Ray on WBZ, Boston's news radio WBZ. 609 00:36:50,560 --> 00:36:53,560 Speaker 3: Where with Doug Arion, a physics professor, we're kind of 610 00:36:53,560 --> 00:36:59,360 Speaker 3: talking about we've been going through ten scientific facts that 611 00:36:59,480 --> 00:37:04,080 Speaker 3: started to be doubted, it became unpopular in twenty twenty five, 612 00:37:04,680 --> 00:37:11,400 Speaker 3: and the conversation led to the glut, the dangerous glut 613 00:37:11,719 --> 00:37:14,320 Speaker 3: of satellites we have and what can happen as a 614 00:37:14,400 --> 00:37:17,840 Speaker 3: result if we keep introducing more up there, and we 615 00:37:17,880 --> 00:37:22,040 Speaker 3: do take we do always encourage callers, and so Ed, Doug, 616 00:37:22,239 --> 00:37:24,080 Speaker 3: Ed and Wooster is going to join us. 617 00:37:24,360 --> 00:37:30,480 Speaker 4: Hello, Ed, Hi Bradley. I had heard you guys discussing COVID, 618 00:37:30,800 --> 00:37:35,359 Speaker 4: and I just had a few points I jotted down 619 00:37:35,400 --> 00:37:38,000 Speaker 4: that I think I'm right about. I wasn't really paying 620 00:37:38,400 --> 00:37:42,160 Speaker 4: attention during COVID, and I didn't have consider myself strongly 621 00:37:42,200 --> 00:37:46,359 Speaker 4: aligned with either the pro or anti VACS people. But 622 00:37:46,400 --> 00:37:48,680 Speaker 4: there were some things, some things that caused me to 623 00:37:48,880 --> 00:37:51,360 Speaker 4: sort of doubt a lot of the stuff I was 624 00:37:51,360 --> 00:37:55,160 Speaker 4: hearing from the from the government slash the scientific side. Okay, 625 00:37:55,560 --> 00:37:57,680 Speaker 4: and I just want to see if these are right, 626 00:37:57,800 --> 00:38:01,160 Speaker 4: if I'm understanding of these, Okay, I can run through 627 00:38:01,160 --> 00:38:04,600 Speaker 4: a few. First thing, Sweden, my understanding of Sweden basically 628 00:38:04,600 --> 00:38:08,799 Speaker 4: did nothing, and at least I think, but I have 629 00:38:08,840 --> 00:38:11,480 Speaker 4: heard they had fewer excess deaths than we had with 630 00:38:11,560 --> 00:38:14,719 Speaker 4: all the different things we did. A second thing was 631 00:38:15,120 --> 00:38:19,919 Speaker 4: I had thought under President Biden, the SDI concluded that 632 00:38:20,040 --> 00:38:22,680 Speaker 4: it was more likely than not that it didn't but 633 00:38:22,760 --> 00:38:27,040 Speaker 4: COVID didn't have a natural origin. Then another thing is 634 00:38:27,080 --> 00:38:30,640 Speaker 4: that I had thought the vaccine, actually we found out 635 00:38:30,760 --> 00:38:34,760 Speaker 4: it didn't prevent a vaccinated person from being a carrier. 636 00:38:35,360 --> 00:38:37,440 Speaker 4: And then just one more, although I have a two 637 00:38:37,560 --> 00:38:40,880 Speaker 4: or three more. You know, the American Society Pediatrics at 638 00:38:40,880 --> 00:38:43,719 Speaker 4: one point came out and said, during the pandemic said 639 00:38:43,760 --> 00:38:45,759 Speaker 4: we think it's okay for I can't remember what age, 640 00:38:45,760 --> 00:38:48,440 Speaker 4: but young kids, elementary school kids to go back to school. 641 00:38:49,320 --> 00:38:52,200 Speaker 4: Then like within a week, President Trump, this was during 642 00:38:52,200 --> 00:38:54,919 Speaker 4: Trump's first term, said yeah, I think elementary school kids 643 00:38:54,920 --> 00:38:57,080 Speaker 4: can go back to this. And then the American Society 644 00:38:57,120 --> 00:39:02,200 Speaker 4: pedi Arctis immediately reversed themselves on the other side, I mean, 645 00:39:02,520 --> 00:39:05,080 Speaker 4: this is not and then I don't even want to 646 00:39:05,080 --> 00:39:07,080 Speaker 4: get into the whole. You know how doctor Fauci and 647 00:39:07,120 --> 00:39:10,799 Speaker 4: Francis Collins dealt with the Great Barrington people. This does 648 00:39:10,840 --> 00:39:12,520 Speaker 4: not inspire a lot of confidence. 649 00:39:12,520 --> 00:39:15,239 Speaker 2: That's true. This is a good one. Our hour was over, 650 00:39:15,280 --> 00:39:17,399 Speaker 2: and I'm glad you brought those points up. Doug. 651 00:39:17,440 --> 00:39:19,759 Speaker 3: We don't even really have a chance to respond other 652 00:39:19,840 --> 00:39:23,799 Speaker 3: than i'd say, ed, tell you what if you're If 653 00:39:23,800 --> 00:39:26,320 Speaker 3: you're still around at eleven, I'm when I have opened lines, 654 00:39:26,440 --> 00:39:29,680 Speaker 3: and I'd be happy to discuss that with you. If 655 00:39:29,719 --> 00:39:31,959 Speaker 3: you called earlier, I guess would have had a chance 656 00:39:32,000 --> 00:39:36,759 Speaker 3: to address that, but I'm happy to entertain what you're 657 00:39:36,760 --> 00:39:41,200 Speaker 3: saying if you call back after eleven. WBZ News Radio 658 00:39:41,360 --> 00:39:44,439 Speaker 3: ten thirty. Now we're gonna talk to the guy who 659 00:39:44,480 --> 00:39:48,960 Speaker 3: owns the MBTA store and talk about the history of 660 00:39:49,280 --> 00:39:51,320 Speaker 3: public transit in Boston. 661 00:39:51,840 --> 00:39:54,320 Speaker 2: Coming up on WBZ News Radio ten thirty