1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,600 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,800 --> 00:00:28,240 Speaker 1: My name is Matt, my name is Nolan. They called 6 00:00:28,240 --> 00:00:31,160 Speaker 1: me Ben. We're joined as always with our super producer 7 00:00:31,240 --> 00:00:35,760 Speaker 1: Alexis code named Doc Holiday Jackson. Most importantly, you are you, 8 00:00:35,760 --> 00:00:38,760 Speaker 1: You are here, and that makes this the stuff they 9 00:00:38,840 --> 00:00:41,600 Speaker 1: don't want you to know. It's the top of the week, 10 00:00:41,680 --> 00:00:45,040 Speaker 1: fellow conspiracy realist, which means it is time for more 11 00:00:45,280 --> 00:00:51,320 Speaker 1: strange news. Radioactive or contaminated hybrid bore pigs are running 12 00:00:51,400 --> 00:00:54,640 Speaker 1: loose in Fukushima, but they have been for a while, 13 00:00:55,120 --> 00:00:59,000 Speaker 1: so I made the decision not to consider that news 14 00:00:59,040 --> 00:01:02,080 Speaker 1: just yet. But it's it's a similar situation to what 15 00:01:02,160 --> 00:01:07,000 Speaker 1: you saw in Chernobyl, where the natural world begins to 16 00:01:07,040 --> 00:01:10,480 Speaker 1: take over space previously occupied by humans. We will consider 17 00:01:10,520 --> 00:01:14,160 Speaker 1: it news when they begin organizing informing their own their 18 00:01:14,200 --> 00:01:16,560 Speaker 1: own interim government. That's what I was gonna say. However, 19 00:01:16,600 --> 00:01:19,160 Speaker 1: their union is making some real in roads. And let's 20 00:01:19,160 --> 00:01:21,160 Speaker 1: not forget about that whole episode of Chernobyl of the 21 00:01:21,240 --> 00:01:24,319 Speaker 1: HBO series where it's literally just like people hunting down 22 00:01:24,400 --> 00:01:27,200 Speaker 1: radioactive animals. I don't know that we are too far 23 00:01:27,240 --> 00:01:30,479 Speaker 1: away from that in this story, but let's save it. Yeah, 24 00:01:30,520 --> 00:01:32,399 Speaker 1: that's an interesting one, and we'll we'll keep an eye 25 00:01:32,480 --> 00:01:34,840 Speaker 1: on it. But for now, we're going to do some 26 00:01:35,319 --> 00:01:39,520 Speaker 1: international travel. We're going to go to India, We're going 27 00:01:39,560 --> 00:01:44,520 Speaker 1: to visit, uh the western coast of North America, Canada, 28 00:01:44,840 --> 00:01:49,440 Speaker 1: and we're also going to stop in Haiti, where some 29 00:01:49,680 --> 00:01:53,480 Speaker 1: very disturbing, very important things are happening as we record, 30 00:01:54,160 --> 00:01:57,520 Speaker 1: and a lot of it is not making it to 31 00:01:57,560 --> 00:02:00,240 Speaker 1: the western news in the in the detail that that 32 00:02:00,320 --> 00:02:04,080 Speaker 1: we would like it too. So maybe we start there, 33 00:02:04,600 --> 00:02:07,320 Speaker 1: uh not, what's the scoop? What's going on? If if 34 00:02:07,360 --> 00:02:09,800 Speaker 1: you were looking at a Haitian newspaper today, what would 35 00:02:09,800 --> 00:02:13,880 Speaker 1: be the top story? Think, well, the assassination of the president. 36 00:02:14,600 --> 00:02:18,680 Speaker 1: As we record this episode last Wednesday, on July seven, 37 00:02:19,000 --> 00:02:24,320 Speaker 1: the president of Haiti, jovianl Moise, was assassinated in his 38 00:02:24,400 --> 00:02:27,680 Speaker 1: home and his wife was put into critical condition. She 39 00:02:27,800 --> 00:02:33,080 Speaker 1: was injured in the successful attempt at assassination, and both 40 00:02:33,120 --> 00:02:37,600 Speaker 1: Haitian authorities and international authorities are attempting to ascertain what 41 00:02:37,680 --> 00:02:41,919 Speaker 1: exactly happened, who was involved, what were the motivations? Um 42 00:02:41,960 --> 00:02:45,880 Speaker 1: and I I am hesitant to say this, but I 43 00:02:45,919 --> 00:02:49,560 Speaker 1: will say I'm sure there are some intelligence agencies out there, 44 00:02:49,600 --> 00:02:52,880 Speaker 1: at least one that has an understanding of what occurred, 45 00:02:53,440 --> 00:02:57,080 Speaker 1: because there's some weird stuff that's being found right now. 46 00:02:57,400 --> 00:02:59,680 Speaker 1: And everything we're going to talk about today is of 47 00:02:59,720 --> 00:03:03,440 Speaker 1: core you know, news that is developing. So as you 48 00:03:03,560 --> 00:03:06,680 Speaker 1: hear this, there may be new things coming out of Haiti. 49 00:03:07,240 --> 00:03:09,800 Speaker 1: Since the time we recorded this it is now July twelve. 50 00:03:10,040 --> 00:03:12,520 Speaker 1: Just so everyone is aware, I'm going to read from 51 00:03:12,520 --> 00:03:17,320 Speaker 1: an article from NBC News titled Haiti police arrest third 52 00:03:17,400 --> 00:03:22,560 Speaker 1: suspect with the US ties in president's assassination. Here's the subtitle. 53 00:03:22,960 --> 00:03:26,840 Speaker 1: Charles Emmanuel sent On s A n O N sixty 54 00:03:26,919 --> 00:03:30,240 Speaker 1: three is one of the suspected masterminds behind the attack. 55 00:03:30,840 --> 00:03:35,320 Speaker 1: They said, again, that's according to Haitian authorities. So I 56 00:03:35,640 --> 00:03:38,800 Speaker 1: suppose before we really even jump into that article, we 57 00:03:38,840 --> 00:03:42,080 Speaker 1: need to talk about what happened. It was this past Wednesday, 58 00:03:42,160 --> 00:03:45,520 Speaker 1: July seven, when at the porta Prince home of the 59 00:03:45,560 --> 00:03:50,640 Speaker 1: President again Jovin Moise a large group of people. It 60 00:03:50,760 --> 00:03:52,760 Speaker 1: was over twenty five, I believe. I think it was 61 00:03:52,800 --> 00:03:59,040 Speaker 1: around twenty six individuals, largely Colombian, Yes, largely Colombian individuals 62 00:03:59,040 --> 00:04:01,960 Speaker 1: who showed up at the home. According to NBC and 63 00:04:02,040 --> 00:04:05,200 Speaker 1: other reporting, this group of people stated that they were 64 00:04:05,760 --> 00:04:09,200 Speaker 1: d e As at least alleged that some of the 65 00:04:09,240 --> 00:04:11,880 Speaker 1: members of that group were yelling that that they were 66 00:04:11,960 --> 00:04:16,280 Speaker 1: d e A agents as they arrived armed to the home. 67 00:04:16,880 --> 00:04:20,120 Speaker 1: And you know, we don't have all of the details 68 00:04:20,200 --> 00:04:22,400 Speaker 1: on exactly you know, what happened on a play by 69 00:04:22,400 --> 00:04:25,839 Speaker 1: play scale, but we do know after the conflict of firefight, 70 00:04:26,440 --> 00:04:30,640 Speaker 1: the president was killed and his wife was injured and 71 00:04:30,920 --> 00:04:34,200 Speaker 1: taken to a hospital. Now the weird part comes in 72 00:04:34,240 --> 00:04:38,520 Speaker 1: here when we start putting together the individuals with United 73 00:04:38,560 --> 00:04:41,240 Speaker 1: States connections who happened to be there or happened to 74 00:04:42,040 --> 00:04:47,279 Speaker 1: play some part in this assassination. There is a police chief, 75 00:04:47,360 --> 00:04:50,040 Speaker 1: is the National Police Chief. His name is Leon Edwards. 76 00:04:50,279 --> 00:04:53,480 Speaker 1: They he held a news conference and there's been many 77 00:04:53,520 --> 00:04:56,680 Speaker 1: of these since the seventh, but he said that they've 78 00:04:56,800 --> 00:05:01,760 Speaker 1: arrested this one individual named Christian Emmanuel sent on her. 79 00:05:01,800 --> 00:05:03,240 Speaker 1: I think that's how you say it s a n 80 00:05:03,279 --> 00:05:06,560 Speaker 1: O N This person was in Haiti he had flown 81 00:05:06,640 --> 00:05:11,520 Speaker 1: there earlier, so in June by private jet, and he 82 00:05:11,600 --> 00:05:14,240 Speaker 1: had a whole group of security guards with him, at 83 00:05:14,279 --> 00:05:19,000 Speaker 1: least according to these authorities. And these security guards appear 84 00:05:19,279 --> 00:05:22,919 Speaker 1: to have played some part in this. Again, what do 85 00:05:22,960 --> 00:05:26,039 Speaker 1: you attack? Maybe that's the right way, a coordinated attack, 86 00:05:26,839 --> 00:05:29,839 Speaker 1: there's a way to describe it. Well, there their story 87 00:05:30,000 --> 00:05:34,039 Speaker 1: is I believe that they were not attempting an assassination, 88 00:05:34,120 --> 00:05:38,960 Speaker 1: right that things It's again, these are like there's some 89 00:05:39,000 --> 00:05:41,479 Speaker 1: strange tales going on here, and it's very difficult to 90 00:05:41,520 --> 00:05:44,720 Speaker 1: ascertain what is truth, what is a story? You know, 91 00:05:45,000 --> 00:05:47,440 Speaker 1: and again it's going to take time to get through 92 00:05:47,440 --> 00:05:51,200 Speaker 1: all of that stuff. But these guys said that they 93 00:05:51,200 --> 00:05:55,760 Speaker 1: were going with Santon as security for him, and that 94 00:05:55,880 --> 00:06:01,000 Speaker 1: Santon allegedly wanted to take over as president. And you know, 95 00:06:01,000 --> 00:06:04,440 Speaker 1: it's a bit strange to imagine that, right that they 96 00:06:04,480 --> 00:06:07,200 Speaker 1: flew to another country to take over. And one of 97 00:06:07,200 --> 00:06:10,680 Speaker 1: the reasons that that is believable as a story is 98 00:06:10,720 --> 00:06:15,080 Speaker 1: because you can go on YouTube and find videos of 99 00:06:15,400 --> 00:06:20,279 Speaker 1: Dr Christian Sannon discussing the corruption or or you know, 100 00:06:20,279 --> 00:06:25,320 Speaker 1: what he believes is corruption in Haitian politics, and you know, 101 00:06:25,480 --> 00:06:30,080 Speaker 1: speaking about some things that I personally, I would tend 102 00:06:30,080 --> 00:06:31,960 Speaker 1: to agree with it, just in the way that he's 103 00:06:31,960 --> 00:06:35,400 Speaker 1: speaking about it, in the concepts of taking bribes, getting 104 00:06:35,560 --> 00:06:40,760 Speaker 1: large corporations in to extract resources, essentially giving up giving 105 00:06:40,839 --> 00:06:45,640 Speaker 1: up hades power essentially in order to gain a little 106 00:06:45,640 --> 00:06:48,800 Speaker 1: bit of short term wealth or you know, escape some 107 00:06:48,880 --> 00:06:53,040 Speaker 1: of the poverty. That is honestly like striking that nation 108 00:06:53,080 --> 00:06:55,320 Speaker 1: pretty pretty hard and has been for quite a while. 109 00:06:56,240 --> 00:06:57,760 Speaker 1: I I again like, I don't want to get too 110 00:06:57,760 --> 00:06:59,960 Speaker 1: far down the rabbit hole in my own opinions here 111 00:07:00,000 --> 00:07:02,480 Speaker 1: and how I feel about this guy's what he's espousing. 112 00:07:02,800 --> 00:07:04,120 Speaker 1: Ben do do you have anything you want to add 113 00:07:04,120 --> 00:07:07,840 Speaker 1: before we keep going here? Yeah? Absolutely. One. One very 114 00:07:07,839 --> 00:07:13,560 Speaker 1: important piece of the YouTube videos made by Doctor sun 115 00:07:13,680 --> 00:07:18,200 Speaker 1: On is one in two thousand eleven called Dr Christian 116 00:07:18,240 --> 00:07:22,960 Speaker 1: sent On Leadership for Haiti, which appears to present him 117 00:07:23,040 --> 00:07:26,680 Speaker 1: as the next person in power. And it's important to 118 00:07:26,760 --> 00:07:31,320 Speaker 1: note that the late president of Haiti, Moise, was not 119 00:07:32,440 --> 00:07:37,720 Speaker 1: considered not considered popular by by any means. It had 120 00:07:37,960 --> 00:07:43,080 Speaker 1: had been accused of corruption, including uh including oddly enough, 121 00:07:43,160 --> 00:07:47,040 Speaker 1: working with gang in the area and working in drug 122 00:07:47,080 --> 00:07:50,600 Speaker 1: cartels in South America, which I think goes into play here, 123 00:07:50,880 --> 00:07:53,280 Speaker 1: I think so too, And and he had also overstayed 124 00:07:53,440 --> 00:07:56,520 Speaker 1: his term, which is kind of weird to think about 125 00:07:57,040 --> 00:07:59,760 Speaker 1: president just deciding that I'm not going to leave care yet, 126 00:08:00,320 --> 00:08:03,720 Speaker 1: just because it's not that simple, obviously, but that it is, 127 00:08:03,800 --> 00:08:06,360 Speaker 1: it's painted that way by some. I want to jump 128 00:08:06,360 --> 00:08:10,880 Speaker 1: back quickly to the this smaller group of security guards 129 00:08:10,920 --> 00:08:14,640 Speaker 1: that were with Santon in June. So according to this 130 00:08:14,800 --> 00:08:19,160 Speaker 1: NBC article, and this is a quote from the UM, 131 00:08:19,200 --> 00:08:22,880 Speaker 1: the police chief there, Leon Charles, he says, quote, the 132 00:08:22,960 --> 00:08:25,880 Speaker 1: mission of these attackers was initially to ensure the safety 133 00:08:25,960 --> 00:08:30,160 Speaker 1: of Emmanuel Senn or Sannon, but later the mission was 134 00:08:30,280 --> 00:08:33,200 Speaker 1: changed and they presented one of the attackers with an 135 00:08:33,280 --> 00:08:36,560 Speaker 1: arrest warrant for the President of the Republic. So they 136 00:08:36,600 --> 00:08:39,840 Speaker 1: are saying, at least according to the chief of police there, 137 00:08:40,400 --> 00:08:43,439 Speaker 1: they did have some kind of arrest warrant. But I 138 00:08:43,480 --> 00:08:46,079 Speaker 1: don't know under what authority they had an arrest warrant. 139 00:08:46,679 --> 00:08:49,760 Speaker 1: But UM, that is really interesting to know that it's officially, 140 00:08:49,880 --> 00:08:52,200 Speaker 1: that's officially the story coming out of the you know, 141 00:08:52,280 --> 00:08:55,679 Speaker 1: law enforcement there. There's some interesting other stuff going on 142 00:08:56,400 --> 00:08:59,720 Speaker 1: just politically here with the United States and Haiti. The 143 00:09:00,160 --> 00:09:04,600 Speaker 1: tree had been attempting to get security forces from the 144 00:09:04,640 --> 00:09:09,640 Speaker 1: United States as a temporary measure to kind of calm 145 00:09:09,720 --> 00:09:11,960 Speaker 1: things down or cool things off, because there is a 146 00:09:11,960 --> 00:09:14,199 Speaker 1: lot of violence occurring right now in Haiti, at least 147 00:09:14,240 --> 00:09:17,320 Speaker 1: according to the western reporting that that I've been exposed to. 148 00:09:18,200 --> 00:09:21,720 Speaker 1: Um again, it comes from gang violence, uh, some of 149 00:09:21,720 --> 00:09:25,720 Speaker 1: the drug cartel activity, other things like that, where just 150 00:09:25,760 --> 00:09:28,520 Speaker 1: the authorities don't seem to have the resources to to 151 00:09:28,640 --> 00:09:32,960 Speaker 1: handle what they need to handle. Without even mentioning COVID, Yeah, exactly, 152 00:09:33,280 --> 00:09:35,600 Speaker 1: there's a lot going on. And then you know, they've 153 00:09:35,640 --> 00:09:38,360 Speaker 1: they've asked for help, and so thus far the United 154 00:09:38,400 --> 00:09:41,640 Speaker 1: States has not, at least to my knowledge, sent any 155 00:09:41,880 --> 00:09:45,760 Speaker 1: assistance when it comes to law enforcement. Again, there's there's 156 00:09:45,800 --> 00:09:48,400 Speaker 1: a dense topic. There's a lot to discuss here. Let's 157 00:09:48,440 --> 00:09:51,120 Speaker 1: get back to this person. In the group of people 158 00:09:51,120 --> 00:09:54,680 Speaker 1: that they have arrested. As of right now, police have 159 00:09:54,800 --> 00:09:59,880 Speaker 1: arrested eighteen Colombian Columbian citizens and three Haitian a Merit 160 00:10:00,840 --> 00:10:05,160 Speaker 1: Haitian Americans who that includes sent On who was there. 161 00:10:05,800 --> 00:10:09,320 Speaker 1: And there are still five people who are allegedly at 162 00:10:09,360 --> 00:10:15,080 Speaker 1: least according to law enforcement, their Colombian nationals and several 163 00:10:15,120 --> 00:10:19,080 Speaker 1: people I think three. At least as of reporting today, 164 00:10:19,679 --> 00:10:24,200 Speaker 1: three Colombians have been killed. Thus far, Colombian citizens have 165 00:10:24,240 --> 00:10:27,360 Speaker 1: been killed who were in Haiti. Again, the story, I'm 166 00:10:27,400 --> 00:10:29,960 Speaker 1: just I'm still in that NBC News article. The story 167 00:10:30,200 --> 00:10:32,400 Speaker 1: from the people who have been arrested are saying they 168 00:10:32,400 --> 00:10:34,440 Speaker 1: were not trying to kill the president. They were trying 169 00:10:34,480 --> 00:10:37,840 Speaker 1: to arrest the president. But either way, these people were 170 00:10:37,880 --> 00:10:42,360 Speaker 1: attempting to remove the sitting acting president from power, which 171 00:10:42,640 --> 00:10:45,760 Speaker 1: you know, it's a tough thing to do if you 172 00:10:45,760 --> 00:10:49,000 Speaker 1: want to do it, and it's a big decision. It's 173 00:10:49,040 --> 00:10:51,720 Speaker 1: crazy to me that this can still happen in the 174 00:10:51,800 --> 00:10:54,439 Speaker 1: modern age, where just a small group of people can 175 00:10:54,640 --> 00:10:56,800 Speaker 1: can essentially topple a government or at least the head 176 00:10:56,800 --> 00:10:59,600 Speaker 1: of a government. And we've seen it happen in numerous 177 00:10:59,600 --> 00:11:03,200 Speaker 1: locations and at numerous times in the past decade. It's 178 00:11:03,240 --> 00:11:07,600 Speaker 1: just still mind blowing. I think that it's possible. Yeah, agreed, agreed, men. 179 00:11:07,760 --> 00:11:11,360 Speaker 1: And And the the issue here is that, like you said, 180 00:11:11,400 --> 00:11:18,679 Speaker 1: without getting into the incredibly fraught history of US Haitian relationships, UH, 181 00:11:18,840 --> 00:11:23,960 Speaker 1: the US has committed in the past illegal actions against 182 00:11:24,120 --> 00:11:28,640 Speaker 1: the sovereign nation that is Haiti. And because of this, 183 00:11:29,400 --> 00:11:33,240 Speaker 1: it's no wonder that a lot of observers, especially non 184 00:11:33,360 --> 00:11:38,079 Speaker 1: Western observers, might think, you know, the US has a 185 00:11:38,160 --> 00:11:41,960 Speaker 1: hidden hand in here, because the the US does have 186 00:11:42,040 --> 00:11:48,360 Speaker 1: a history of deposing, uh deposing democratically elected leaders, especially 187 00:11:48,400 --> 00:11:51,600 Speaker 1: in the places it considers part of its regional sphere 188 00:11:51,640 --> 00:11:54,679 Speaker 1: of influence or its global backyard, whatever you wanna call it. 189 00:11:55,240 --> 00:11:58,600 Speaker 1: With this in mind, though, the thing is that if 190 00:11:58,679 --> 00:12:03,040 Speaker 1: the US were if the US were involved right like 191 00:12:03,160 --> 00:12:06,560 Speaker 1: on a state level, it would be an interesting wrinkle 192 00:12:06,640 --> 00:12:12,320 Speaker 1: to their typical pattern. Because the typical pattern historically has 193 00:12:12,360 --> 00:12:16,400 Speaker 1: been to overthrow a leader who does not participate in 194 00:12:16,480 --> 00:12:20,760 Speaker 1: corporate led resource extraction, or to overthrow a leader who 195 00:12:20,840 --> 00:12:24,239 Speaker 1: is thought to be too far left on the political spectrum, 196 00:12:24,679 --> 00:12:28,439 Speaker 1: and that is not really the neither of those are 197 00:12:28,480 --> 00:12:33,560 Speaker 1: really the case in this assassination. Yeah, I agree, Ben. 198 00:12:34,080 --> 00:12:37,920 Speaker 1: I guess when my little nod to the intelligence agencies 199 00:12:38,040 --> 00:12:40,360 Speaker 1: at the top here wasn't so much as in they 200 00:12:40,440 --> 00:12:43,160 Speaker 1: caused it. It's more like they've been watching these groups, 201 00:12:43,160 --> 00:12:46,640 Speaker 1: I'm pretty sure, and this is my opinion. I think 202 00:12:46,760 --> 00:12:50,280 Speaker 1: because of the number of Columbia Nationals that were involved, 203 00:12:50,320 --> 00:12:56,400 Speaker 1: and because Mose was allegedly involved in drug cartel activities. 204 00:12:57,000 --> 00:13:00,960 Speaker 1: That may be our connection here. Um, something went sour 205 00:13:01,040 --> 00:13:03,680 Speaker 1: with a deal in Columbia, because Columbia still is a 206 00:13:03,679 --> 00:13:07,600 Speaker 1: country that exports a lot of drugs. You know, I'm 207 00:13:07,600 --> 00:13:11,840 Speaker 1: wondering if there's something there, because we also know that 208 00:13:12,120 --> 00:13:17,440 Speaker 1: the US has some interesting relationships with the drug cartels 209 00:13:17,440 --> 00:13:20,160 Speaker 1: in Columbia. I don't know. It doesn't mean that they're 210 00:13:20,160 --> 00:13:22,439 Speaker 1: connected in any way to this, but it does mean 211 00:13:22,440 --> 00:13:26,800 Speaker 1: that there's something. Something weird was happening I think in 212 00:13:26,840 --> 00:13:29,800 Speaker 1: the realm of the cartels, and that's what that's what 213 00:13:29,880 --> 00:13:33,360 Speaker 1: occurred here. No one else is interesting here, Matt in 214 00:13:33,679 --> 00:13:38,120 Speaker 1: twenty nineteen. As recently as twenty nineteen, the late president 215 00:13:38,360 --> 00:13:42,720 Speaker 1: had American mercenaries working on his behalf. Right. So this 216 00:13:42,800 --> 00:13:46,840 Speaker 1: thing that often escapes people is I think, putting the 217 00:13:46,920 --> 00:13:50,280 Speaker 1: human side to a country that you've never been to. 218 00:13:50,520 --> 00:13:53,320 Speaker 1: So if you reside in the US, one way to 219 00:13:53,400 --> 00:13:57,040 Speaker 1: think of this is, let's say a president could be 220 00:13:57,080 --> 00:14:00,640 Speaker 1: any one of the recent ones, Trump, Biden, Obama, take 221 00:14:00,679 --> 00:14:02,840 Speaker 1: your pick one of those presidents, whether or not you 222 00:14:02,880 --> 00:14:07,240 Speaker 1: like them. Uh, Let's say they get assassinated by a 223 00:14:07,280 --> 00:14:11,000 Speaker 1: group of people from Canada. Right, A group of why 224 00:14:11,000 --> 00:14:13,960 Speaker 1: don't we get specific with a group of kabaqua and 225 00:14:14,160 --> 00:14:17,520 Speaker 1: they're they're mad about something, and they say, look, we 226 00:14:17,520 --> 00:14:21,440 Speaker 1: were just we just busted into the White House to 227 00:14:21,600 --> 00:14:25,600 Speaker 1: arrest insert president here. We didn't mean to, you know, 228 00:14:25,680 --> 00:14:29,240 Speaker 1: for them to be murdered, then you can imagine how, 229 00:14:29,320 --> 00:14:33,160 Speaker 1: no matter how unpopular that leader would be, uh, the 230 00:14:33,400 --> 00:14:38,000 Speaker 1: population of the United States would be screaming for their blood. 231 00:14:38,080 --> 00:14:41,360 Speaker 1: It's a threat to sovereignty, right, I mean, it's essentially 232 00:14:41,400 --> 00:14:46,280 Speaker 1: someone coming in and saying, I have jurisdiction here, I'm 233 00:14:46,320 --> 00:14:48,640 Speaker 1: coming into your territory, and that's clearly not the case, 234 00:14:48,680 --> 00:14:51,960 Speaker 1: no matter what their beef might be. Um, and I 235 00:14:51,960 --> 00:14:54,920 Speaker 1: guess it's not clear what their beef is there. There's 236 00:14:54,920 --> 00:14:58,320 Speaker 1: a lot of beef to be had. To take a 237 00:14:58,400 --> 00:15:03,560 Speaker 1: pick which flavor of beef for you are you looking at? Yeah, 238 00:15:03,880 --> 00:15:06,320 Speaker 1: we just don't know all the specifics yet. As as 239 00:15:06,360 --> 00:15:07,800 Speaker 1: I said at the top, I'm gonna give you guys 240 00:15:07,840 --> 00:15:09,600 Speaker 1: one more wrinkled then we're going to be finished with 241 00:15:09,600 --> 00:15:12,960 Speaker 1: this segment. According to the Miami Herald, the only reason 242 00:15:13,000 --> 00:15:16,840 Speaker 1: I'm even bringing this up is because the president's spouse 243 00:15:17,080 --> 00:15:19,640 Speaker 1: was taken to Miami to a hospital there after she 244 00:15:19,800 --> 00:15:22,200 Speaker 1: was attacked and that's where that's where she went to 245 00:15:22,200 --> 00:15:25,840 Speaker 1: get treatment. According to the Miami Herald, several of the 246 00:15:25,920 --> 00:15:29,240 Speaker 1: Columbians who are detained said they worked for this place 247 00:15:29,320 --> 00:15:33,840 Speaker 1: called C t U Security. It's a Miami based private 248 00:15:33,840 --> 00:15:37,880 Speaker 1: security firm, and there's a person who runs that named 249 00:15:37,920 --> 00:15:44,920 Speaker 1: Antonio Emmanuel in Triango Valera. And there's a rabbit hole 250 00:15:45,120 --> 00:15:48,520 Speaker 1: to go down here with C t U Security. It 251 00:15:48,680 --> 00:15:52,280 Speaker 1: is very very interesting stuff and there's not a lot 252 00:15:52,320 --> 00:15:55,440 Speaker 1: of leads to follow, but the little little bread crumbs 253 00:15:55,440 --> 00:15:59,480 Speaker 1: that you get, at least personally speaking, here just makes 254 00:15:59,480 --> 00:16:03,600 Speaker 1: the intrigue all that sweeter because this isn't the guy's right. 255 00:16:04,440 --> 00:16:07,560 Speaker 1: There's all kinds of stuff to look down into here, 256 00:16:07,600 --> 00:16:10,280 Speaker 1: and uh, you know, I don't I don't want to 257 00:16:10,320 --> 00:16:14,480 Speaker 1: get embroiled in any cartel activities, So uh, good luck 258 00:16:14,480 --> 00:16:17,640 Speaker 1: to all of you guys, and hope you're hope you're okay, 259 00:16:17,640 --> 00:16:21,840 Speaker 1: And I don't know where I live, Okay, All right, Well, 260 00:16:22,800 --> 00:16:24,240 Speaker 1: I guess that's it for this one. We're going to 261 00:16:24,280 --> 00:16:26,080 Speaker 1: continue to follow this story and we will give you 262 00:16:26,160 --> 00:16:28,520 Speaker 1: updates if we if we see anything. We hope you 263 00:16:28,560 --> 00:16:31,120 Speaker 1: continue to follow it. In the news as well, and 264 00:16:31,360 --> 00:16:33,520 Speaker 1: let us know if you hear anything that you think 265 00:16:33,520 --> 00:16:35,680 Speaker 1: we should be talking about. We take a quick break 266 00:16:35,680 --> 00:16:44,480 Speaker 1: and we'll be right back with more strange news. And 267 00:16:44,720 --> 00:16:49,800 Speaker 1: we have returned. We are journeying from Haiti to the 268 00:16:49,840 --> 00:16:55,320 Speaker 1: Pacific coast of North America, Canada specifically, if you live 269 00:16:55,320 --> 00:16:57,520 Speaker 1: in the area, or if you live in the West 270 00:16:57,520 --> 00:17:00,840 Speaker 1: Coast in general, well, unfortunately, if you live in many 271 00:17:00,880 --> 00:17:05,000 Speaker 1: areas of the world today, you know that there are 272 00:17:05,200 --> 00:17:10,320 Speaker 1: record heat waves. They are leading to disasters of ni 273 00:17:10,320 --> 00:17:15,399 Speaker 1: biblical proportions. Wildfires will tragically be an example that a 274 00:17:15,400 --> 00:17:18,400 Speaker 1: lot of people in the audience today of experienced firsthand. 275 00:17:19,600 --> 00:17:24,919 Speaker 1: Quite recently, a heat dome settled over western Canada and 276 00:17:25,040 --> 00:17:28,639 Speaker 1: parts of the northwestern United States. Is there for about 277 00:17:28,720 --> 00:17:32,760 Speaker 1: five days, it pushed temperatures to over a hundred and 278 00:17:32,840 --> 00:17:35,600 Speaker 1: four degrees fahrenheit. For the rest of the world, that's 279 00:17:35,640 --> 00:17:40,920 Speaker 1: around forty degrees celsius. And this was not completely unprecedented, 280 00:17:41,040 --> 00:17:43,800 Speaker 1: because temperatures have been rising over recent years, but it 281 00:17:43,880 --> 00:17:47,639 Speaker 1: was unexpected. It shattered records that have been around for 282 00:17:47,680 --> 00:17:51,399 Speaker 1: a long long time. As many as five hundred people 283 00:17:51,480 --> 00:17:55,880 Speaker 1: in British Columbia alone are believed to have died as 284 00:17:55,920 --> 00:18:00,080 Speaker 1: a direct result of this. Hundreds of wildfires are burning 285 00:18:00,359 --> 00:18:05,040 Speaker 1: across the place as we record today. But something else happened, 286 00:18:05,240 --> 00:18:09,480 Speaker 1: and it's something that I think deserves more attention. Will 287 00:18:09,520 --> 00:18:13,680 Speaker 1: explain why in a moment, about a billion sea animals. 288 00:18:13,720 --> 00:18:17,240 Speaker 1: Marine animals died because of this heat. If you went 289 00:18:17,280 --> 00:18:23,880 Speaker 1: out there recently, you would see tons, tons of creatures, muscles, 290 00:18:24,160 --> 00:18:28,640 Speaker 1: They were essentially cooked by the heat. And look, I'm 291 00:18:28,760 --> 00:18:31,600 Speaker 1: I'm a fan of seafood. I will come clete. I 292 00:18:31,800 --> 00:18:35,520 Speaker 1: have never said no two cooked bustles. Uh. This might 293 00:18:35,560 --> 00:18:38,359 Speaker 1: be one of the only situations where I would have 294 00:18:38,359 --> 00:18:42,080 Speaker 1: had the moral fortitude to do so. I will always 295 00:18:42,080 --> 00:18:46,440 Speaker 1: say no to muscles, clams, Yeah, any of that stuff, 296 00:18:46,520 --> 00:18:49,679 Speaker 1: you know, like you know, like the boogers of the sea. No, 297 00:18:50,200 --> 00:18:52,920 Speaker 1: they're the boogers of the sea in their own individual packaging. 298 00:18:55,400 --> 00:19:01,399 Speaker 1: Cross You always like monkeys, think of sea monkeys. Yes, yes, 299 00:19:02,400 --> 00:19:07,160 Speaker 1: baked oysters, baked oysters. Okay, so you like your bookers 300 00:19:07,160 --> 00:19:10,879 Speaker 1: baked to put it that on, put it on that 301 00:19:10,960 --> 00:19:13,239 Speaker 1: on the profile. It's out of the air, all right, 302 00:19:13,320 --> 00:19:16,320 Speaker 1: we'll keep it if if Doc lets us. But but 303 00:19:16,400 --> 00:19:18,960 Speaker 1: this is I mean, we're injecting some lefty. But this 304 00:19:19,080 --> 00:19:24,359 Speaker 1: is incredibly serious because like if you go to Vancouver, 305 00:19:24,480 --> 00:19:30,280 Speaker 1: for instance, Uh, temperatures were about hundreds or so degrees fahrenheit. 306 00:19:31,000 --> 00:19:36,119 Speaker 1: But students and scholars used infrared cameras to measure the 307 00:19:36,280 --> 00:19:39,280 Speaker 1: shore and they found the temperatures were sorry to a 308 00:19:39,359 --> 00:19:44,840 Speaker 1: hundred and twenty two degrees fahrenheit. This means that, first off, Matt, 309 00:19:44,920 --> 00:19:47,920 Speaker 1: if I could continue grossing you out here, uh, this 310 00:19:48,000 --> 00:19:52,560 Speaker 1: means that the entire place stank of rotting and seafood. 311 00:19:53,800 --> 00:19:56,879 Speaker 1: Worse than Yeah, everybody who's smelled rotting and seafood, it's 312 00:19:56,960 --> 00:19:59,600 Speaker 1: like that, but much worse than you could imagine unless 313 00:19:59,600 --> 00:20:04,000 Speaker 1: you were there. Are snails, sea stars, clams, they've been 314 00:20:04,040 --> 00:20:08,159 Speaker 1: cooked by the water. They are decaying. Uh. This is 315 00:20:09,480 --> 00:20:15,240 Speaker 1: apocalyptic stuff. And it was so hot that when the 316 00:20:15,520 --> 00:20:20,800 Speaker 1: researchers who discovered this, like Christopher Harley, marine biologist at 317 00:20:20,840 --> 00:20:24,199 Speaker 1: the University BC, it was so hot that when his 318 00:20:24,320 --> 00:20:29,239 Speaker 1: group was looking at this disaster, they could only go 319 00:20:29,280 --> 00:20:31,320 Speaker 1: out for small amounts of time, and then they had 320 00:20:31,359 --> 00:20:33,640 Speaker 1: to run back into like the shade or some kind 321 00:20:33,640 --> 00:20:37,160 Speaker 1: of more contained environment and eat frozen grapes to an 322 00:20:37,200 --> 00:20:42,680 Speaker 1: attempt to physically cool their bodies downe. Yeah. And it's 323 00:20:42,720 --> 00:20:46,400 Speaker 1: a loss of biodiversity that's very difficult to replace. And 324 00:20:46,400 --> 00:20:48,800 Speaker 1: the reason I wanted to talk a little bit about 325 00:20:48,800 --> 00:20:52,920 Speaker 1: this with everyone today is that anyone who's a fan 326 00:20:53,000 --> 00:20:56,840 Speaker 1: of the Simpsons internet memes probably remembers what I call 327 00:20:56,960 --> 00:20:59,680 Speaker 1: the so far mem Right. It's it's like a little 328 00:20:59,680 --> 00:21:04,760 Speaker 1: two annal thing where Bart Simpson says something like this 329 00:21:04,880 --> 00:21:08,399 Speaker 1: is the hottest summer of my life, and then young 330 00:21:08,440 --> 00:21:11,200 Speaker 1: Slot in anything, and the next panel is Homer stopping 331 00:21:11,240 --> 00:21:13,960 Speaker 1: him and saying, the hottest summer of your life so far. 332 00:21:15,160 --> 00:21:17,840 Speaker 1: That's what we're dealing with in a in a very 333 00:21:17,880 --> 00:21:22,159 Speaker 1: real way. This is not the first example of a 334 00:21:22,200 --> 00:21:26,080 Speaker 1: mass die off due to high temperatures, right, but it's 335 00:21:26,920 --> 00:21:32,440 Speaker 1: it's a different kind in specificity, and this means that 336 00:21:33,480 --> 00:21:36,800 Speaker 1: it also is a harbinger, I would argue, of things 337 00:21:36,880 --> 00:21:40,720 Speaker 1: to come. It seems like every guy, what would you say, Guys, 338 00:21:40,760 --> 00:21:45,359 Speaker 1: every two three months a report comes out saying, otto, 339 00:21:45,760 --> 00:21:48,600 Speaker 1: we're getting close, We're getting close to a tipping point. 340 00:21:49,240 --> 00:21:52,840 Speaker 1: But the truth is that horses left the bar, you 341 00:21:52,840 --> 00:21:54,680 Speaker 1: know what I mean? That badger is out of the bag, 342 00:21:54,840 --> 00:21:59,000 Speaker 1: and it is we're in the tipping phase. We're just 343 00:21:59,200 --> 00:22:01,679 Speaker 1: in that thing. Can't see it when you're inside it, 344 00:22:01,840 --> 00:22:04,920 Speaker 1: because you're just there. We're well into the second act, 345 00:22:06,400 --> 00:22:10,439 Speaker 1: and this, I don't know, what this makes me think of, 346 00:22:10,720 --> 00:22:16,960 Speaker 1: is the very real possibility that the majority of animal wildlife, 347 00:22:17,000 --> 00:22:21,439 Speaker 1: including the stuff that humans eat, including the stuff that 348 00:22:21,520 --> 00:22:25,960 Speaker 1: supports oxygen breathing land animals, and I think we're facing 349 00:22:26,200 --> 00:22:31,320 Speaker 1: very real possibility that that population will be damaged heavily, 350 00:22:31,760 --> 00:22:34,720 Speaker 1: will be decimated, a word that doesn't mean to destroy, 351 00:22:34,920 --> 00:22:39,480 Speaker 1: It means to reduce by a certain factory ten. Well, 352 00:22:39,760 --> 00:22:43,760 Speaker 1: there's a reporting coming out of Florida right now, the manatees. 353 00:22:44,359 --> 00:22:47,240 Speaker 1: We we've already I forget exactly I'm gonna I'll have 354 00:22:47,240 --> 00:22:48,720 Speaker 1: to look it up really quickly. But I was just 355 00:22:48,760 --> 00:22:55,199 Speaker 1: reading this morning about one man deaths that had just 356 00:22:55,240 --> 00:23:00,359 Speaker 1: occurred between January one and July two, which it's basically 357 00:23:01,480 --> 00:23:06,520 Speaker 1: it's breaking the previous record, which was so again like 358 00:23:06,520 --> 00:23:11,520 Speaker 1: we're kind of like inside this range. I don't know. Yeah, 359 00:23:11,640 --> 00:23:16,240 Speaker 1: they're being called unusual mortality events, which, if you think 360 00:23:16,240 --> 00:23:18,440 Speaker 1: about it, if you like thinking about language the way 361 00:23:18,480 --> 00:23:22,879 Speaker 1: we do, that is a very optimistic name, isn't it. 362 00:23:22,920 --> 00:23:26,600 Speaker 1: Because how how long before these simply become mass die 363 00:23:26,640 --> 00:23:33,680 Speaker 1: off events, mass mortality events, or seasonal mass mortality events. Uh. 364 00:23:33,720 --> 00:23:36,399 Speaker 1: And it's it's like the case again. You know it 365 00:23:36,480 --> 00:23:40,320 Speaker 1: bears odd similarity to the case of Haiti, because you know, 366 00:23:40,480 --> 00:23:42,600 Speaker 1: you're you're telling people who maybe have never been to 367 00:23:42,640 --> 00:23:45,400 Speaker 1: this part of the world why they should care. Right, 368 00:23:45,760 --> 00:23:48,960 Speaker 1: But how is this more than words I hear words 369 00:23:49,000 --> 00:23:52,639 Speaker 1: I read or clips of videos I watch. In the 370 00:23:52,760 --> 00:23:57,399 Speaker 1: case of the ocean's ecosystem, and this, this is not 371 00:23:57,440 --> 00:23:59,560 Speaker 1: a hippie dippy thing to say. In the case of 372 00:23:59,640 --> 00:24:05,280 Speaker 1: the oceans ecosystem, the majority of terrestrial life absolutely depends 373 00:24:05,320 --> 00:24:09,879 Speaker 1: on it. I mean you could say, maybe maybe animals 374 00:24:09,880 --> 00:24:13,080 Speaker 1: that live solely in caverns don't depend on it because 375 00:24:14,080 --> 00:24:17,479 Speaker 1: because they're like water powered basically that to get their 376 00:24:17,520 --> 00:24:22,520 Speaker 1: energy from the side. I still remember when Discovery was 377 00:24:22,560 --> 00:24:26,680 Speaker 1: our corporate overlord. Uh, Matt, Noel and I all got 378 00:24:26,680 --> 00:24:31,760 Speaker 1: a copy of what was it Earth? Yeah, we also 379 00:24:31,800 --> 00:24:35,760 Speaker 1: got Honey Boo boo. Uh notepads and cake Boss cake mix. 380 00:24:36,960 --> 00:24:39,679 Speaker 1: I took the cake mix, skip the boo. I'm not 381 00:24:39,720 --> 00:24:42,639 Speaker 1: a child. I'm not someone who proves a chop patch 382 00:24:42,680 --> 00:24:45,760 Speaker 1: and treat. But but yeah, yeah, yeah, we that's where 383 00:24:45,760 --> 00:24:51,120 Speaker 1: we learned that the cavern ecosystems of the world are 384 00:24:51,200 --> 00:24:54,240 Speaker 1: are so un but so was the ocean. So I 385 00:24:54,280 --> 00:24:57,119 Speaker 1: would want to ask you, guys, So I brought this 386 00:24:57,240 --> 00:25:00,960 Speaker 1: to the group today, not just you know them met 387 00:25:01,000 --> 00:25:03,920 Speaker 1: but those of us listening to along at home. What 388 00:25:04,040 --> 00:25:07,919 Speaker 1: do you think the future of this brings? Do you 389 00:25:08,000 --> 00:25:12,600 Speaker 1: think this is a tragic anomaly? Do you think this 390 00:25:12,680 --> 00:25:17,560 Speaker 1: will become as many people fear and predicted the new normal? 391 00:25:17,680 --> 00:25:19,359 Speaker 1: I'd love I'd love to hear you guys take up. 392 00:25:20,280 --> 00:25:22,320 Speaker 1: I mean, jeez, it just it just kind of seems 393 00:25:22,359 --> 00:25:27,520 Speaker 1: like these types of stories keep escalating, um in terms 394 00:25:27,520 --> 00:25:30,240 Speaker 1: of you know, like wildfires just getting worse and worse 395 00:25:30,280 --> 00:25:33,800 Speaker 1: each year. Uh, die offs, you know, crop damage, things 396 00:25:33,840 --> 00:25:36,919 Speaker 1: like that. I mean, I just I think it is 397 00:25:36,920 --> 00:25:41,320 Speaker 1: the new normal. Yeah, And I don't see much human intervention. 398 00:25:42,200 --> 00:25:45,119 Speaker 1: Uh it was going to mitigate these kinds of things. 399 00:25:45,160 --> 00:25:50,240 Speaker 1: Certainly there are environmental controls that have been rolled back 400 00:25:50,359 --> 00:25:53,399 Speaker 1: from having been eliminated, but it almost feels like a 401 00:25:53,440 --> 00:25:57,600 Speaker 1: two little too late situation. I feel very very sad, 402 00:25:57,680 --> 00:26:01,280 Speaker 1: and it feels very dire to me. Yeah, yeah, it's 403 00:26:01,480 --> 00:26:04,960 Speaker 1: it feels extremely dire to me. There's reporting recently coming 404 00:26:05,000 --> 00:26:08,960 Speaker 1: out about a massive lake in Antarctica that all of 405 00:26:09,000 --> 00:26:14,440 Speaker 1: a sudden just drained because of the situation of climate change. 406 00:26:14,960 --> 00:26:17,000 Speaker 1: And I'm afraid to even say it because I know 407 00:26:17,040 --> 00:26:20,040 Speaker 1: there's such pushback against that word, against that concept. But 408 00:26:20,359 --> 00:26:22,000 Speaker 1: you know, you look around, you look at the news, 409 00:26:22,000 --> 00:26:25,240 Speaker 1: and it's just I feel like it's screaming at me. 410 00:26:25,640 --> 00:26:29,160 Speaker 1: And depending on where you lie politically, it becomes an 411 00:26:29,200 --> 00:26:32,800 Speaker 1: issue which is the least divisive, like terram It shouldn't be. 412 00:26:32,800 --> 00:26:35,120 Speaker 1: It just means the climate is changing. You can feel 413 00:26:35,119 --> 00:26:37,160 Speaker 1: it when you walk outside here in Georgia. I mean, 414 00:26:37,840 --> 00:26:40,240 Speaker 1: I don't know how about this. Take the word climate 415 00:26:40,320 --> 00:26:45,520 Speaker 1: change out of it. Temperatures are now where the climate 416 00:26:45,920 --> 00:26:50,520 Speaker 1: in parts of the world sits terrible. Things are happening 417 00:26:50,560 --> 00:26:54,920 Speaker 1: to life and to water resources. I mean the droughts 418 00:26:54,960 --> 00:26:58,560 Speaker 1: that are happening all over the planet. If you look 419 00:26:58,640 --> 00:27:03,119 Speaker 1: at like hears something insane. Death Valley out in the 420 00:27:03,160 --> 00:27:07,399 Speaker 1: western United States reached the temperature of fifty four point 421 00:27:07,480 --> 00:27:13,200 Speaker 1: four degrees celsius. Yeah, that's one and thirty degrees fahrenheit. 422 00:27:14,800 --> 00:27:21,720 Speaker 1: And just for reference, wet bulb temperature, the absolute it's 423 00:27:21,720 --> 00:27:24,960 Speaker 1: the measure of the absolute limit of human tolerance for 424 00:27:25,080 --> 00:27:28,840 Speaker 1: this kind of heat is degrees fahrenheit or thirty five 425 00:27:28,840 --> 00:27:33,359 Speaker 1: degrees celsius. So this is literally unlivable without the aid 426 00:27:33,400 --> 00:27:37,160 Speaker 1: of technology. I'm almost really glad you guys are bringing 427 00:27:37,240 --> 00:27:46,200 Speaker 1: up the Mockavellian politicization of phrases like climate change, nature 428 00:27:46,800 --> 00:27:51,560 Speaker 1: and the sun and all the all the large scale effects. 429 00:27:52,720 --> 00:27:56,000 Speaker 1: Do not care who you vote for, absolutely not. Don't 430 00:27:56,000 --> 00:27:59,960 Speaker 1: even think of it in those terms. The the world 431 00:28:00,200 --> 00:28:03,680 Speaker 1: considers if the world has a consciousness, if you subscribe 432 00:28:03,720 --> 00:28:07,440 Speaker 1: to the Guii hypothesis, which is unproven but interesting, then 433 00:28:08,320 --> 00:28:11,360 Speaker 1: if the world had a mind, it would probably consider 434 00:28:11,480 --> 00:28:15,440 Speaker 1: human beings a fad that got out of hand, right, like, oh, 435 00:28:15,520 --> 00:28:20,239 Speaker 1: primates were cool, but now now they're a problem. And 436 00:28:20,359 --> 00:28:22,320 Speaker 1: this the reason we can say this is because the 437 00:28:22,359 --> 00:28:27,920 Speaker 1: idea of climate change, how it entered into uh this 438 00:28:28,080 --> 00:28:31,160 Speaker 1: phase of becoming a hot button issue in the world 439 00:28:31,160 --> 00:28:36,120 Speaker 1: of politics, is itself a conspiracy. Back in the day, 440 00:28:36,200 --> 00:28:39,240 Speaker 1: let us not forget the folks that would be considered 441 00:28:39,360 --> 00:28:45,920 Speaker 1: quite conservative. We're also environmental conservatives. There were conservationists, right. 442 00:28:45,960 --> 00:28:49,440 Speaker 1: They were responsible for some amazing strides and preserving the 443 00:28:49,520 --> 00:28:54,000 Speaker 1: natural world in the US in particular, And how did 444 00:28:54,000 --> 00:28:57,880 Speaker 1: this conspiracy come about? Well, one of them was oil companies. 445 00:28:57,920 --> 00:29:01,760 Speaker 1: We talked about this last week, like oil collaborations actively 446 00:29:02,280 --> 00:29:06,640 Speaker 1: covered up the science after their own studies, the studies 447 00:29:06,680 --> 00:29:11,600 Speaker 1: that they financed, proved this was real and that uh, 448 00:29:11,760 --> 00:29:16,320 Speaker 1: some increasingly hot stuff was about to hit the fan. 449 00:29:16,920 --> 00:29:22,440 Speaker 1: So this concept right of the anthropasy, the age of humanity, 450 00:29:22,520 --> 00:29:27,840 Speaker 1: and uh, this concept of an inevitable change in the 451 00:29:28,120 --> 00:29:32,280 Speaker 1: in the natural world due to human intervention, it has 452 00:29:32,360 --> 00:29:36,040 Speaker 1: some pretty compelling science. And the people who discovered that 453 00:29:36,120 --> 00:29:39,600 Speaker 1: science often treated it as the stuff they don't want 454 00:29:39,640 --> 00:29:42,560 Speaker 1: you to know. I hate to use the tagline like 455 00:29:42,920 --> 00:29:45,400 Speaker 1: you know the moment in the movie where somebody says, 456 00:29:45,680 --> 00:29:49,920 Speaker 1: hey are those teenage mutant ninja turtles? But this is 457 00:29:50,000 --> 00:29:54,480 Speaker 1: this is very, very serious. And also the problem is 458 00:29:54,480 --> 00:30:00,120 Speaker 1: compounded by the same corporations that have been actively lined you, 459 00:30:00,600 --> 00:30:03,280 Speaker 1: if you are a living human being, the same corporations 460 00:30:03,640 --> 00:30:08,280 Speaker 1: passing the buck, passing the burden of responsibility onto the individual. 461 00:30:08,560 --> 00:30:11,680 Speaker 1: It does not matter how many straws you save. No. 462 00:30:12,040 --> 00:30:14,160 Speaker 1: And and it's the same thing with you know who 463 00:30:14,200 --> 00:30:16,840 Speaker 1: killed the electric car? You know, we know who killed 464 00:30:16,840 --> 00:30:20,720 Speaker 1: the electric car. It was automobile companies, you know, in 465 00:30:20,800 --> 00:30:23,680 Speaker 1: oil companies, and and the there is collusion, even if 466 00:30:23,760 --> 00:30:26,600 Speaker 1: on paper it doesn't exist. But again, I want to 467 00:30:26,640 --> 00:30:28,520 Speaker 1: mention that movie I talked about a couple of weeks 468 00:30:28,560 --> 00:30:31,120 Speaker 1: ago I got I can't remember when, but no sudden move. 469 00:30:31,200 --> 00:30:34,280 Speaker 1: That's about this, um, you know, collusion between the big 470 00:30:34,680 --> 00:30:39,600 Speaker 1: Detroit auto manufacturers to uh cover up scientific studies that 471 00:30:39,720 --> 00:30:44,120 Speaker 1: showed that, um, you know, the catalytic converter was able 472 00:30:44,160 --> 00:30:46,520 Speaker 1: to be made small enough to put into a car, 473 00:30:47,120 --> 00:30:50,520 Speaker 1: and um it's something that you know makes a huge 474 00:30:50,520 --> 00:30:53,560 Speaker 1: difference in pollution, but it was going to be expensive 475 00:30:53,600 --> 00:30:56,800 Speaker 1: for them, so they were protecting their bottom line. And 476 00:30:57,040 --> 00:30:59,760 Speaker 1: that's something that happens time and time. Again, Before you 477 00:30:59,760 --> 00:31:01,560 Speaker 1: get back into it, I want to say I watched 478 00:31:01,600 --> 00:31:05,000 Speaker 1: the movie after you mentioned it, and I actually really 479 00:31:05,040 --> 00:31:06,800 Speaker 1: enjoyed it. Didn't think he was weird though, how they 480 00:31:07,040 --> 00:31:09,480 Speaker 1: like the vignette ng on the wide angle lenses and 481 00:31:09,560 --> 00:31:12,680 Speaker 1: every shot it's real distracting. I think. I think it 482 00:31:12,720 --> 00:31:15,360 Speaker 1: was a stylistic choice, but I found very a little 483 00:31:15,360 --> 00:31:18,400 Speaker 1: off putting in time, especially since they're framed largely in 484 00:31:18,480 --> 00:31:21,480 Speaker 1: the edges of the screen. The main actors and they're 485 00:31:21,520 --> 00:31:24,520 Speaker 1: almost like they're bowing out a little bit on their edges. 486 00:31:24,720 --> 00:31:27,000 Speaker 1: There's many non film nerds. I was talking about a 487 00:31:27,000 --> 00:31:28,840 Speaker 1: wide angle lens, which you know, gives you a larger 488 00:31:28,880 --> 00:31:32,160 Speaker 1: field of vision, but if you don't affected and post, 489 00:31:32,520 --> 00:31:34,880 Speaker 1: the edges are around it and they almost create this 490 00:31:34,960 --> 00:31:37,760 Speaker 1: fun house mirror effect on the sides. And Soderberg very 491 00:31:37,800 --> 00:31:40,000 Speaker 1: clearly did not want to cover that up because he 492 00:31:40,000 --> 00:31:41,920 Speaker 1: wanted to look authentic in some way. But I'm not 493 00:31:41,960 --> 00:31:44,160 Speaker 1: even sure what era he was mimicking, because I don't 494 00:31:44,160 --> 00:31:46,120 Speaker 1: think I've ever even seen a like the seventies movie 495 00:31:46,120 --> 00:31:48,840 Speaker 1: that had that level of of distortion. But it was 496 00:31:48,920 --> 00:31:54,120 Speaker 1: very interesting choice. So the way we got there is 497 00:31:54,160 --> 00:31:57,360 Speaker 1: that No Sudden Move, while not based on a true story, 498 00:31:58,000 --> 00:32:02,960 Speaker 1: is based on on the idea of the Big Four conspiring, 499 00:32:03,600 --> 00:32:08,440 Speaker 1: and that is based on the idea of corporations conspiring 500 00:32:08,640 --> 00:32:13,240 Speaker 1: against the consumer for short term or mid term profit. 501 00:32:13,680 --> 00:32:17,200 Speaker 1: I will say that the before I add the last 502 00:32:17,240 --> 00:32:20,440 Speaker 1: point about we're talking about earlier the massive die off 503 00:32:20,720 --> 00:32:24,320 Speaker 1: of marine animals in western North America, I will say 504 00:32:24,360 --> 00:32:28,080 Speaker 1: that I felt like No Sudden Moves dialogue could have 505 00:32:28,280 --> 00:32:31,600 Speaker 1: used a little polishing, But you guys know, as a 506 00:32:31,640 --> 00:32:34,560 Speaker 1: car conspiracy guy, I was. I was all about it 507 00:32:34,600 --> 00:32:37,240 Speaker 1: as well. And great acting, great acting the n c O. 508 00:32:37,360 --> 00:32:39,120 Speaker 1: If you're in this, you know I'm not just saying 509 00:32:39,120 --> 00:32:41,080 Speaker 1: it because we're both bends. I thought you were kicked 510 00:32:41,080 --> 00:32:45,640 Speaker 1: assing that. Uh. So back to spare hand, uh And 511 00:32:46,840 --> 00:32:51,200 Speaker 1: I will sew this up as quickly as possible. Really, 512 00:32:52,160 --> 00:32:54,200 Speaker 1: this is the point I was getting to this. I 513 00:32:54,280 --> 00:32:58,160 Speaker 1: was trying to make so corporations are passing this responsibility 514 00:32:58,320 --> 00:33:02,080 Speaker 1: onto you in a man of swindle. To be quite honest, 515 00:33:02,120 --> 00:33:04,640 Speaker 1: the reason I say it doesn't really matter how many 516 00:33:04,720 --> 00:33:08,600 Speaker 1: straws you save is because commercial fisheries are responsible for 517 00:33:08,760 --> 00:33:12,720 Speaker 1: much much more plastic waste. Uh. And if you want 518 00:33:12,720 --> 00:33:15,800 Speaker 1: to put politics aside, which is the important thing to 519 00:33:15,840 --> 00:33:20,160 Speaker 1: do when you realize that you are the potential victim 520 00:33:20,200 --> 00:33:22,800 Speaker 1: of a conspiracy like this, uh, the first thing you 521 00:33:22,800 --> 00:33:25,640 Speaker 1: have to ask yourself is do you plan to be 522 00:33:25,720 --> 00:33:32,840 Speaker 1: alive in when the marine ecosystems are projected to collapse entirely? 523 00:33:33,640 --> 00:33:36,000 Speaker 1: That's that's a question that's up to you on a 524 00:33:36,120 --> 00:33:39,000 Speaker 1: case by case basis. I would love to hear your 525 00:33:39,080 --> 00:33:41,320 Speaker 1: take on this, especially because, as we said, we know 526 00:33:41,360 --> 00:33:43,240 Speaker 1: it can be a hot button issue for any number 527 00:33:43,240 --> 00:33:45,480 Speaker 1: of reasons, So let us know what you think. One 528 00:33:45,520 --> 00:33:48,640 Speaker 1: are three st d w y t K conspiracy at 529 00:33:48,640 --> 00:33:51,240 Speaker 1: I heart radio dot com. We're gonna pause for word 530 00:33:51,280 --> 00:33:54,800 Speaker 1: from our sponsors and we'll return with more strange news. 531 00:34:01,600 --> 00:34:04,160 Speaker 1: And we're back with our final strange news story of 532 00:34:04,200 --> 00:34:07,360 Speaker 1: today's episode. And it is most definitely what he would 533 00:34:07,360 --> 00:34:09,560 Speaker 1: call a conspiracy. In fact, I believe one of the 534 00:34:09,640 --> 00:34:13,160 Speaker 1: charges being levied at the offending parties here, Uh, it 535 00:34:13,200 --> 00:34:16,280 Speaker 1: has the word conspiracy in it. Um. So obviously everyone 536 00:34:16,280 --> 00:34:18,839 Speaker 1: knows that COVID vaccines are a thing. There are some 537 00:34:18,880 --> 00:34:20,600 Speaker 1: parts of the world that are getting less of them 538 00:34:20,640 --> 00:34:23,759 Speaker 1: than others. UM. In the United States, it seems like 539 00:34:23,880 --> 00:34:25,880 Speaker 1: pretty much anybody that wants to get one at this 540 00:34:25,920 --> 00:34:29,120 Speaker 1: point probably has gotten one. Maybe maybe I'm overstating the 541 00:34:29,120 --> 00:34:31,839 Speaker 1: case there, but it does feel like they are pretty accessible. Uh, 542 00:34:31,880 --> 00:34:35,160 Speaker 1: there is still we talked about politicization of climate change 543 00:34:35,160 --> 00:34:39,320 Speaker 1: in those terms, there's still some pretty intense politicization of vaccination. 544 00:34:39,640 --> 00:34:41,719 Speaker 1: Funny thing, my daughter actually got our second shot the 545 00:34:41,760 --> 00:34:44,560 Speaker 1: other day and felt terrible, as I think several of 546 00:34:44,600 --> 00:34:47,080 Speaker 1: us felt pretty crappy after our second shot, and I 547 00:34:47,080 --> 00:34:48,480 Speaker 1: walked into the room to check on her, and she 548 00:34:48,520 --> 00:34:55,520 Speaker 1: goes dad. Joe Biden micro chipped me. Obviously she's being 549 00:34:55,560 --> 00:34:59,520 Speaker 1: sarcastic because she's a little smart alec goth hipster kid. 550 00:34:59,600 --> 00:35:01,719 Speaker 1: But it's funny because there are still some people that 551 00:35:01,960 --> 00:35:04,520 Speaker 1: somewhere along the spectrum of thinking that or the four 552 00:35:04,560 --> 00:35:08,200 Speaker 1: G or five G conspiracy, it's a thing, but we're 553 00:35:08,200 --> 00:35:10,479 Speaker 1: not talking about those kind of conspiracies. We're literally talking 554 00:35:10,560 --> 00:35:15,360 Speaker 1: about opportunists that are taking advantage of people who genuinely 555 00:35:15,480 --> 00:35:20,640 Speaker 1: want to get the vaccine, specifically in India UM. There 556 00:35:20,760 --> 00:35:23,680 Speaker 1: is a fantastic article in the New York Times about 557 00:35:23,800 --> 00:35:26,920 Speaker 1: a case that's going on, an investigation that's going on 558 00:35:27,000 --> 00:35:32,719 Speaker 1: into thousands of COVID vaccines that were given out to 559 00:35:33,160 --> 00:35:35,879 Speaker 1: UM individuals in that country that signed up for them, 560 00:35:36,000 --> 00:35:39,200 Speaker 1: paid for them, and and and obviously wanted to get them, 561 00:35:39,239 --> 00:35:43,000 Speaker 1: wanted to be inoculated, but instead of getting UM what 562 00:35:43,480 --> 00:35:46,840 Speaker 1: was supposed to be the Oxford Astra Zeneca brand of 563 00:35:46,880 --> 00:35:50,480 Speaker 1: the vaccine, which over there is branded as COVID COVID Shield. 564 00:35:50,760 --> 00:35:52,440 Speaker 1: I didn't think. I didn't realize they are like different 565 00:35:52,480 --> 00:35:54,080 Speaker 1: like brandings of I stuff. They called it like the 566 00:35:54,080 --> 00:35:56,960 Speaker 1: fiser or the astra zeneca UM. But yeah, COVID shield 567 00:35:57,320 --> 00:36:03,880 Speaker 1: UM instead were absolute lutely um built out of their money. UM. 568 00:36:04,000 --> 00:36:07,160 Speaker 1: These shots cost between ten and seventeen dollars a dose, 569 00:36:07,160 --> 00:36:09,000 Speaker 1: which in and of itself seems sketchy to me. But 570 00:36:09,120 --> 00:36:11,719 Speaker 1: I'm not fully aware of the framework that that country 571 00:36:11,840 --> 00:36:14,719 Speaker 1: has in place for for the vaccine. Obviously here no 572 00:36:14,719 --> 00:36:16,000 Speaker 1: one has had to pay for it, even if you 573 00:36:16,000 --> 00:36:19,399 Speaker 1: didn't have UH insurance. But instead of that syringe being 574 00:36:19,440 --> 00:36:22,720 Speaker 1: full of COVID vaccine, it was full of a saline 575 00:36:22,760 --> 00:36:29,160 Speaker 1: solution UM. So there are investigations underway. Vishal Thakur, who 576 00:36:29,200 --> 00:36:32,479 Speaker 1: is a police officer in Mumbai UH, said that those 577 00:36:32,560 --> 00:36:35,240 Speaker 1: quote in the New York Times article by Hari Kumar, 578 00:36:35,520 --> 00:36:37,719 Speaker 1: I was quoted as saying those arrested are charged under 579 00:36:37,760 --> 00:36:42,520 Speaker 1: criminal conspiracy, cheating and forgery UM. And that is for 580 00:36:42,560 --> 00:36:46,000 Speaker 1: a few reasons. Around twenty people came to these they 581 00:36:46,080 --> 00:36:48,600 Speaker 1: referring to them in the article and another reporting as camps. 582 00:36:49,200 --> 00:36:52,040 Speaker 1: Which are these you know, kind of various setups not 583 00:36:52,120 --> 00:36:54,440 Speaker 1: probably not too similar from the way here in the 584 00:36:54,560 --> 00:36:57,440 Speaker 1: United States, there were churches that were becoming hubs to 585 00:36:57,480 --> 00:36:59,799 Speaker 1: get your vaccine. There were even sort of pop ups 586 00:36:59,800 --> 00:37:01,560 Speaker 1: on most with like tents, you know, or you'd see 587 00:37:01,600 --> 00:37:03,040 Speaker 1: them on the side of the road and you could 588 00:37:03,040 --> 00:37:05,440 Speaker 1: go get your vaccine with or without an appointment sometimes. 589 00:37:05,560 --> 00:37:08,400 Speaker 1: So I don't think this is too too different than that, UM. 590 00:37:08,440 --> 00:37:12,040 Speaker 1: But this actually goes pretty deep because many of the 591 00:37:12,160 --> 00:37:18,880 Speaker 1: organizers involved in this scam allegedly were medical professionals UM 592 00:37:18,920 --> 00:37:25,239 Speaker 1: and they were essentially like forging these these documents UM 593 00:37:25,400 --> 00:37:30,000 Speaker 1: that made the syringes and the doses look legit, and 594 00:37:30,080 --> 00:37:32,320 Speaker 1: also the cards that you would get to show the 595 00:37:32,400 --> 00:37:36,080 Speaker 1: vaccination cards that we've all seen UM. And according to 596 00:37:36,560 --> 00:37:40,920 Speaker 1: the Indian government's online portal for tracking vaccines UH, the 597 00:37:41,120 --> 00:37:45,440 Speaker 1: hospitals and the organizers, or rather the hospitals the organizers 598 00:37:45,440 --> 00:37:48,719 Speaker 1: claimed to have used, the records did not match the 599 00:37:48,800 --> 00:37:52,000 Speaker 1: doses and the vaccination certificates that they received. So there 600 00:37:52,080 --> 00:37:56,759 Speaker 1: was some some collusion going on between medical professionals, hospitals 601 00:37:56,840 --> 00:38:00,000 Speaker 1: and whomever is at the heart of this scam, which 602 00:38:00,120 --> 00:38:03,319 Speaker 1: we don't entirely know yet. UM. So there is one 603 00:38:04,200 --> 00:38:08,040 Speaker 1: person who was a victim of this scam, um niha Alshi, 604 00:38:08,080 --> 00:38:10,640 Speaker 1: who in the New York Times article claimed, uh, there 605 00:38:10,640 --> 00:38:13,480 Speaker 1: are doubts about whether we were actually given COVID shield, 606 00:38:13,560 --> 00:38:18,720 Speaker 1: whether it was just glucose or expired waste vaccine UM, 607 00:38:18,880 --> 00:38:21,800 Speaker 1: and there is there's you know, it's it's obviously very shocking. 608 00:38:21,800 --> 00:38:25,359 Speaker 1: There is an outcry. There are public interest attorneys UH 609 00:38:25,360 --> 00:38:27,560 Speaker 1: in Mumbai that are trying to bring this to the 610 00:38:27,640 --> 00:38:31,760 Speaker 1: highest court. There's already been a lawsuit filed UM and 611 00:38:32,200 --> 00:38:35,160 Speaker 1: the court responded in saying that it was heartbreaking and 612 00:38:35,200 --> 00:38:38,880 Speaker 1: shocking UM and that these types of incidents of fake 613 00:38:39,000 --> 00:38:42,920 Speaker 1: vaccinations is on the rise. And I mean this, you know, 614 00:38:43,040 --> 00:38:47,960 Speaker 1: this isn't the first time that we've seen UM medical scams. 615 00:38:48,040 --> 00:38:51,560 Speaker 1: You know, in India, for example, apparently there was a 616 00:38:51,680 --> 00:38:55,719 Speaker 1: large spate of fake oxygen tanks that were distributed and 617 00:38:55,760 --> 00:38:58,120 Speaker 1: also other fake drugs. This is something I don't know 618 00:38:58,160 --> 00:39:01,399 Speaker 1: that we hear too much about here in the United States. 619 00:39:01,440 --> 00:39:04,560 Speaker 1: I'm sure it happens, but it doesn't seem as widespread. 620 00:39:04,760 --> 00:39:07,840 Speaker 1: And it's a shame because you know what, however you 621 00:39:07,880 --> 00:39:12,200 Speaker 1: feel about the vaccine, for whatever reason, it is certainly 622 00:39:12,239 --> 00:39:14,359 Speaker 1: something that could cause people to call into question whether 623 00:39:14,440 --> 00:39:16,840 Speaker 1: or not they should get the vaccine or not. UH, 624 00:39:17,280 --> 00:39:20,640 Speaker 1: because there's a why bother, Because clearly it's just a scam, 625 00:39:20,920 --> 00:39:23,000 Speaker 1: or why should I even try because I'm just gonna 626 00:39:23,000 --> 00:39:24,640 Speaker 1: be scammed and I won't even be getting the shot 627 00:39:24,640 --> 00:39:27,520 Speaker 1: for real. So I don't know, guys, It's that's That's 628 00:39:27,560 --> 00:39:30,480 Speaker 1: pretty much where the story is. It's something that we're 629 00:39:30,520 --> 00:39:33,480 Speaker 1: following and it's developing. But I just don't understand the 630 00:39:33,560 --> 00:39:36,320 Speaker 1: only made like twenty eight thou dollars too in American 631 00:39:36,320 --> 00:39:39,600 Speaker 1: dollars from the entire scam and whomever you know was 632 00:39:39,719 --> 00:39:42,359 Speaker 1: at the heart of this. It couldn't have been just 633 00:39:42,400 --> 00:39:44,440 Speaker 1: a couple of people. It had to have been, you know, 634 00:39:44,560 --> 00:39:47,480 Speaker 1: passed around between maybe like five to ten people that 635 00:39:47,520 --> 00:39:49,680 Speaker 1: it would take to pull this off, almost like a heist. 636 00:39:49,840 --> 00:39:51,320 Speaker 1: You gotta have the bag man, you gotta have the 637 00:39:51,360 --> 00:39:53,360 Speaker 1: inside man. You know. There's all these different roles to 638 00:39:53,400 --> 00:39:56,439 Speaker 1: play to even pull this off, uh, to get those 639 00:39:56,480 --> 00:39:58,839 Speaker 1: forgeries and to make it look legit enough that people 640 00:39:58,840 --> 00:40:01,440 Speaker 1: would would bite. But it just seems to mean to 641 00:40:01,480 --> 00:40:04,600 Speaker 1: be the worst kind of betrayal. Someone's coming trying to 642 00:40:04,600 --> 00:40:08,600 Speaker 1: get help and you're literally giving them nothing and taking 643 00:40:08,600 --> 00:40:11,920 Speaker 1: their money for Uh. I guess if we if we 644 00:40:11,960 --> 00:40:16,960 Speaker 1: did calculation just equivalencye that twenty eight grand is uh, 645 00:40:17,400 --> 00:40:21,399 Speaker 1: a little over two points well it's almost two point 646 00:40:21,480 --> 00:40:27,000 Speaker 1: one million rupees, but still putting it in those dollar terms, 647 00:40:27,040 --> 00:40:30,360 Speaker 1: it seems like they put these people in very serious 648 00:40:30,440 --> 00:40:34,520 Speaker 1: danger for very for relatively small profit, you know what 649 00:40:34,560 --> 00:40:37,680 Speaker 1: I mean. And that's it's heartbreaking, and I think you're 650 00:40:37,719 --> 00:40:40,399 Speaker 1: right now that there are you know, there there are 651 00:40:40,560 --> 00:40:44,799 Speaker 1: multiple scams that have developed here in the US as well. 652 00:40:44,920 --> 00:40:50,200 Speaker 1: A lot of those were things like fake COVID vaccination cards, 653 00:40:50,239 --> 00:40:52,799 Speaker 1: but those are different because they had the participation of 654 00:40:52,840 --> 00:40:55,040 Speaker 1: the person getting the card or the you know, the 655 00:40:55,160 --> 00:40:58,520 Speaker 1: informed consent to break the law in that way. But 656 00:40:58,640 --> 00:41:02,560 Speaker 1: I know that the f e I was also alerting 657 00:41:02,680 --> 00:41:07,960 Speaker 1: people to scams in the US back in with well, 658 00:41:08,000 --> 00:41:11,480 Speaker 1: they were more like folks trying to offer a fee 659 00:41:11,840 --> 00:41:14,520 Speaker 1: to say they would get you vaccinated and then never 660 00:41:14,600 --> 00:41:17,319 Speaker 1: actually coming through, you know, just getting to cash app 661 00:41:17,400 --> 00:41:21,719 Speaker 1: them or UH pay them via some electronic method and 662 00:41:21,719 --> 00:41:25,480 Speaker 1: they made a lot of money because people were rightly terrified. Uh. 663 00:41:26,719 --> 00:41:29,000 Speaker 1: This is a real blow too, because you know a 664 00:41:29,000 --> 00:41:36,520 Speaker 1: lot of people have championed India's approach to UH proprietary pharmaceuticals. 665 00:41:36,680 --> 00:41:39,080 Speaker 1: You know, it's one of the world's most populated countries. 666 00:41:39,520 --> 00:41:44,279 Speaker 1: And they they stood up to international regimes and they said, look, 667 00:41:44,360 --> 00:41:47,319 Speaker 1: we don't care that you want to charge people, you know, 668 00:41:47,440 --> 00:41:51,719 Speaker 1: five bucks for this basic medicine in your country. We 669 00:41:51,800 --> 00:41:54,239 Speaker 1: know how to make it and we're just gonna do it. 670 00:41:54,840 --> 00:41:58,960 Speaker 1: So it's like, I think that's an enormously human attitude 671 00:41:58,960 --> 00:42:02,200 Speaker 1: and it's a it's a shame that um bad actors 672 00:42:02,640 --> 00:42:05,920 Speaker 1: have have smirched India in this way. Cuba is doing 673 00:42:05,960 --> 00:42:07,279 Speaker 1: the same thing. By the way, I was just reading 674 00:42:07,280 --> 00:42:10,040 Speaker 1: an article about that developing their own vaccine and saying, sorry, 675 00:42:10,360 --> 00:42:13,680 Speaker 1: who care? And that's the issue too. We were talking 676 00:42:13,719 --> 00:42:15,640 Speaker 1: about some of the issues that people have with Bill Gates. 677 00:42:15,640 --> 00:42:17,560 Speaker 1: I think there was one listener Maile episode where somebody 678 00:42:17,600 --> 00:42:19,960 Speaker 1: sent us kind of like a wanted poster about how 679 00:42:20,000 --> 00:42:23,359 Speaker 1: he like, you know, supposedly like manufactured the vaccine um. 680 00:42:23,680 --> 00:42:25,520 Speaker 1: All of that is obviously bogus, But one thing he 681 00:42:25,560 --> 00:42:28,920 Speaker 1: has done is speak very much in favor of the 682 00:42:28,920 --> 00:42:31,360 Speaker 1: opposite of what you guys are talking about, like absolute 683 00:42:31,400 --> 00:42:36,920 Speaker 1: proprietary uh medication and patent essentially, like keeping those patents 684 00:42:36,920 --> 00:42:39,880 Speaker 1: on lock um even in the face of the scarcity 685 00:42:39,880 --> 00:42:42,000 Speaker 1: of the vaccines and countries like India and I didn't 686 00:42:42,000 --> 00:42:43,759 Speaker 1: mention this at the top, but I think we all 687 00:42:43,800 --> 00:42:46,440 Speaker 1: know this, and many folks know this. Um, India, you 688 00:42:46,480 --> 00:42:49,799 Speaker 1: cannot get an appointment like you can here. Here. It's 689 00:42:49,800 --> 00:42:52,040 Speaker 1: almost a joke because here, for a time it was 690 00:42:52,080 --> 00:42:53,960 Speaker 1: like it was exclusive. It was a little hard to 691 00:42:54,000 --> 00:42:55,440 Speaker 1: get one, and then it kind of opened up and 692 00:42:55,440 --> 00:42:57,439 Speaker 1: it was easier to get one. And now you don't 693 00:42:57,440 --> 00:42:59,360 Speaker 1: even really hear about people going to get him anymore 694 00:42:59,400 --> 00:43:01,680 Speaker 1: because people who wanted to get them have already gotten them. 695 00:43:01,880 --> 00:43:04,319 Speaker 1: That is not the luxury that that people in India have. 696 00:43:04,920 --> 00:43:06,759 Speaker 1: The reason that this was this was happening at like 697 00:43:06,880 --> 00:43:10,600 Speaker 1: very upscale apartment complexes for example, Folks you know in 698 00:43:10,640 --> 00:43:12,480 Speaker 1: the upper class in India that we're having a hard 699 00:43:12,480 --> 00:43:14,520 Speaker 1: time getting a vaccine, that we're having a hard time 700 00:43:14,520 --> 00:43:18,879 Speaker 1: getting an appointment. Um. So it's absolutely uh even more 701 00:43:18,880 --> 00:43:22,160 Speaker 1: opportunistic because they're capitalizing on the scarcity of it to 702 00:43:22,239 --> 00:43:25,160 Speaker 1: make you know, a buck um. And there is another 703 00:43:25,160 --> 00:43:28,200 Speaker 1: example of around five hundred people in West Bengal uh 704 00:43:28,239 --> 00:43:31,120 Speaker 1: that also supposedly received fake vaccine. So now there's this 705 00:43:31,200 --> 00:43:34,560 Speaker 1: distrust of the vaccine in general in a country with 706 00:43:35,000 --> 00:43:38,719 Speaker 1: you know, many x times are population uh and that 707 00:43:38,760 --> 00:43:41,200 Speaker 1: has really had a bad go of it recently, Like 708 00:43:41,239 --> 00:43:44,560 Speaker 1: the numbers are rising in in India, um in terms 709 00:43:44,600 --> 00:43:47,640 Speaker 1: of outbreak. So I just don't I just don't understand. 710 00:43:47,680 --> 00:43:49,719 Speaker 1: I mean I do, I do understand. Human nature just 711 00:43:49,800 --> 00:43:54,520 Speaker 1: kind of can suck sometimes, but um yeah, apparently only 712 00:43:54,560 --> 00:43:57,080 Speaker 1: five percent of Indian citizens are fully vaccine right now. 713 00:43:57,360 --> 00:44:00,960 Speaker 1: And it's it's difficult because you know, due to the 714 00:44:01,120 --> 00:44:05,520 Speaker 1: density of population clusters in India, which does, by the way, 715 00:44:05,640 --> 00:44:10,680 Speaker 1: remain on paper the world's largest democracy, but the population 716 00:44:10,800 --> 00:44:14,880 Speaker 1: density is such that this should have been one of 717 00:44:14,920 --> 00:44:18,400 Speaker 1: the places vaccinated first, honestly, as soon as there was 718 00:44:18,440 --> 00:44:21,600 Speaker 1: a working version. Because when you have that many people 719 00:44:21,719 --> 00:44:29,000 Speaker 1: living close together in these conditions, you're essentially building an 720 00:44:29,160 --> 00:44:32,520 Speaker 1: R and D lab for an infection like COVID to 721 00:44:33,080 --> 00:44:36,040 Speaker 1: uh to evolve itself, you know what I mean. That's 722 00:44:36,080 --> 00:44:39,680 Speaker 1: where that's where these variants come from. And then if 723 00:44:39,719 --> 00:44:42,280 Speaker 1: we're in a race, it's it's like that game pandemic, 724 00:44:42,320 --> 00:44:46,280 Speaker 1: when you know, the scientists trying to create a cure 725 00:44:46,520 --> 00:44:50,719 Speaker 1: or a treatment while the infection is trying to evolve 726 00:44:50,880 --> 00:44:53,279 Speaker 1: such that the treatment they do come up with is 727 00:44:53,320 --> 00:44:56,319 Speaker 1: no longer effective. So what happens. You know, people are 728 00:44:56,360 --> 00:44:58,920 Speaker 1: all like, the delta variant is going through the US 729 00:44:59,040 --> 00:45:01,200 Speaker 1: right now, and it's only one of the variants going through. 730 00:45:01,400 --> 00:45:05,239 Speaker 1: So this is uh inspired groups like Viser to say, hey, 731 00:45:05,360 --> 00:45:09,080 Speaker 1: we should sell everybody a third shot a booster shot, 732 00:45:09,280 --> 00:45:13,040 Speaker 1: right and it helps It helps people for sure, also 733 00:45:13,120 --> 00:45:18,640 Speaker 1: helps Viser. Yeah, yeah, but what happens, I mean, that's 734 00:45:18,680 --> 00:45:25,000 Speaker 1: what I'm saying. What happens if eventually six of the 735 00:45:25,040 --> 00:45:28,600 Speaker 1: population of India does get vaccinated, but by the time 736 00:45:28,640 --> 00:45:32,560 Speaker 1: they reached that vaccination rate, they're vaccinated for something that 737 00:45:32,719 --> 00:45:37,920 Speaker 1: is no longer the big threat because yeah, the COVID's 738 00:45:37,920 --> 00:45:41,760 Speaker 1: going to the Olympics. Guys just reading today about Japan 739 00:45:41,880 --> 00:45:45,040 Speaker 1: and the emergency the situation that they're in right now. 740 00:45:46,120 --> 00:45:48,600 Speaker 1: Van still going to do the Olympics, as we talked 741 00:45:48,600 --> 00:45:52,000 Speaker 1: about a couple of weeks ago here. Yeah, that's the 742 00:45:52,440 --> 00:45:56,680 Speaker 1: that's the IOC's decision though, But it just it just 743 00:45:58,080 --> 00:46:02,600 Speaker 1: a lot of potential were some jumping to happen, for 744 00:46:02,640 --> 00:46:04,799 Speaker 1: some more variants to occur when they're you know that 745 00:46:04,880 --> 00:46:07,960 Speaker 1: many people from that many different places all gathered together, 746 00:46:08,280 --> 00:46:10,640 Speaker 1: and you're right, then the the the board game analogy 747 00:46:10,719 --> 00:46:13,600 Speaker 1: you made is very, very apt. It's certainly when you 748 00:46:13,640 --> 00:46:16,200 Speaker 1: see the board of that of of pandemic the game, 749 00:46:16,280 --> 00:46:18,880 Speaker 1: I mean, you see how it's a it's called a 750 00:46:18,880 --> 00:46:21,279 Speaker 1: global pandemic for a reason. I mean, we're sort of 751 00:46:21,280 --> 00:46:24,319 Speaker 1: all in this together. And yet the politicization of vaccination 752 00:46:24,480 --> 00:46:26,960 Speaker 1: of the virus and pointing the finger has sort of 753 00:46:27,000 --> 00:46:30,480 Speaker 1: made it this isolated conversation when it really shouldn't be. 754 00:46:30,520 --> 00:46:32,120 Speaker 1: I mean, it should be like, let's figure out how 755 00:46:32,160 --> 00:46:34,520 Speaker 1: to work together on this, and uh, it's become this 756 00:46:34,640 --> 00:46:38,200 Speaker 1: kind of weird one upsmanship between countries, whether it's like, 757 00:46:38,239 --> 00:46:40,600 Speaker 1: you know, pointing out whose fault it is between the 758 00:46:40,680 --> 00:46:44,239 Speaker 1: US and China or whomever, and uh, this type of 759 00:46:44,280 --> 00:46:47,160 Speaker 1: sharing of vaccinate of vaccines. You know, I don't I 760 00:46:47,160 --> 00:46:49,719 Speaker 1: don't quite get it, given that we are all not 761 00:46:49,840 --> 00:46:51,880 Speaker 1: to sound like a hippie, but you know, all citizens 762 00:46:51,920 --> 00:46:55,360 Speaker 1: of spaceship Earth. You know, it seems like something that 763 00:46:55,400 --> 00:46:57,080 Speaker 1: we should have thought about from the start. But I 764 00:46:57,120 --> 00:47:01,200 Speaker 1: guess that human nature again reason that's ugly had just 765 00:47:01,280 --> 00:47:04,280 Speaker 1: in a larger scale, and some of the world's most 766 00:47:04,320 --> 00:47:09,040 Speaker 1: powerful people looked at the situation and said, I wonder 767 00:47:09,120 --> 00:47:12,480 Speaker 1: if I can get just far enough into space to 768 00:47:12,520 --> 00:47:18,640 Speaker 1: say I went to spaces that's my priority something million dollars. 769 00:47:18,840 --> 00:47:21,440 Speaker 1: It's insane, you guys, Richard. I mean the fact that 770 00:47:21,520 --> 00:47:24,440 Speaker 1: Richard Branson just like, yeah, I'm gonna do it first, 771 00:47:24,520 --> 00:47:27,359 Speaker 1: just to like piss off Jeff. You know, I'm not 772 00:47:27,600 --> 00:47:30,560 Speaker 1: a relevant enough billionaire anymore. Let me make some news, 773 00:47:30,960 --> 00:47:34,800 Speaker 1: you know. I do want to say though, the building 774 00:47:35,320 --> 00:47:38,640 Speaker 1: that they launched that like as the basis for Virgin Galactic, 775 00:47:38,920 --> 00:47:41,760 Speaker 1: it was paid for with more than two million dollars 776 00:47:41,920 --> 00:47:45,359 Speaker 1: in mostly taxpayer money. Of course it was I have 777 00:47:45,440 --> 00:47:47,799 Speaker 1: no doubt about that, and nothing surprises me anymore. But 778 00:47:48,200 --> 00:47:50,759 Speaker 1: this story is very sad, it is, but I got 779 00:47:50,760 --> 00:47:53,560 Speaker 1: a definitely awful we're talking about right here, specifically with billionaires. 780 00:47:54,000 --> 00:47:59,120 Speaker 1: Uh read some reporting over the weekend about Sun Valley, Idaho. 781 00:47:59,239 --> 00:48:03,040 Speaker 1: Are you guys you yeah, yeah, here's where it gets 782 00:48:03,040 --> 00:48:07,000 Speaker 1: crazy posting about this. Oh dude, we did that Davos episode, 783 00:48:07,160 --> 00:48:10,600 Speaker 1: and you know, we got to dive into Sun Valley, Idaho, 784 00:48:10,800 --> 00:48:13,919 Speaker 1: go hang out at the I guess they've got lots 785 00:48:13,920 --> 00:48:17,960 Speaker 1: of spas there for billionaires. Yeah, yeah, we gotta do 786 00:48:18,040 --> 00:48:22,480 Speaker 1: that soon. Can we get an invite? No? Now? But 787 00:48:22,560 --> 00:48:24,920 Speaker 1: we we like Anderson Cooper can hang out on the 788 00:48:24,920 --> 00:48:28,120 Speaker 1: periphery and wave a mic around and say, hey, hey, 789 00:48:28,200 --> 00:48:32,280 Speaker 1: talk to me Mark, Mark, what happened to your brows? 790 00:48:33,200 --> 00:48:35,920 Speaker 1: That's that's I don't want to judge people on physical stuff. 791 00:48:35,960 --> 00:48:38,680 Speaker 1: He's gotta like going on, but anyware worth it because 792 00:48:38,760 --> 00:48:41,680 Speaker 1: it's the same kind of place where deal making happens. Well, 793 00:48:41,880 --> 00:48:44,399 Speaker 1: let me ask you this, Uh, what do you think 794 00:48:44,440 --> 00:48:47,640 Speaker 1: the likelihood of these scams or scams like them continuing 795 00:48:47,880 --> 00:48:51,080 Speaker 1: is in the near future very high? I mean, it's 796 00:48:51,080 --> 00:48:54,240 Speaker 1: if we're talking five percent. But but but but it's again, 797 00:48:54,280 --> 00:48:57,319 Speaker 1: I don't know. I don't fully understand the framework of 798 00:48:57,320 --> 00:49:01,280 Speaker 1: government regulation India. It just seems such a large country, 799 00:49:01,280 --> 00:49:03,440 Speaker 1: and I know that there's a lot of opportunity for corruption. 800 00:49:03,520 --> 00:49:07,120 Speaker 1: The larger your bureaucracy is um and the larger your 801 00:49:07,239 --> 00:49:10,040 Speaker 1: population is so uh, they'll figure out how to do 802 00:49:10,080 --> 00:49:12,640 Speaker 1: it more cleverly, I suppose, you know. But I mean 803 00:49:12,680 --> 00:49:15,359 Speaker 1: the big tell was that people people watch the news, 804 00:49:15,400 --> 00:49:17,120 Speaker 1: They knew they were supposed to feel a little ill 805 00:49:17,400 --> 00:49:19,719 Speaker 1: after getting that shot, and they you know, now people 806 00:49:19,760 --> 00:49:21,879 Speaker 1: are like questioning whether they got it or not. Did 807 00:49:21,880 --> 00:49:25,399 Speaker 1: I get sick enough, did I feel the side effects enough? 808 00:49:25,920 --> 00:49:27,920 Speaker 1: What is it. I mean a large, big picture. I 809 00:49:27,960 --> 00:49:30,279 Speaker 1: think it's going to be a hit to that vaccination 810 00:49:30,360 --> 00:49:32,880 Speaker 1: rate in a very very very large country. That's a 811 00:49:32,960 --> 00:49:36,080 Speaker 1: very good point. And given the wide variety of possible 812 00:49:36,200 --> 00:49:40,040 Speaker 1: versions of this affection and how it like the symptoms 813 00:49:40,080 --> 00:49:44,480 Speaker 1: that people do or do not encounter, it can be 814 00:49:44,520 --> 00:49:47,120 Speaker 1: difficult to tell whether or not you have COVID or 815 00:49:47,160 --> 00:49:50,040 Speaker 1: have had it unless you do get a test, either 816 00:49:50,120 --> 00:49:53,239 Speaker 1: for antibodies or to see if you're presently infected. Uh, 817 00:49:53,360 --> 00:49:57,000 Speaker 1: and you might just be left guessing this. I feel 818 00:49:57,000 --> 00:50:00,799 Speaker 1: okay saying this because it's uh, it's true, and it 819 00:50:00,880 --> 00:50:04,160 Speaker 1: doesn't make me look great. In the early days of 820 00:50:04,200 --> 00:50:06,880 Speaker 1: the pandemic, got a little in my head and I 821 00:50:06,960 --> 00:50:11,040 Speaker 1: was talking with with my folks and I told my mother, 822 00:50:11,320 --> 00:50:13,960 Speaker 1: you know, I think I might have COVID And she 823 00:50:14,040 --> 00:50:15,759 Speaker 1: said why And I said, well, you know, I'm like 824 00:50:16,280 --> 00:50:18,719 Speaker 1: losing my sense of smell, my sense of taste. And 825 00:50:18,760 --> 00:50:21,560 Speaker 1: she was like, Ben, don't worry. You never had a 826 00:50:21,600 --> 00:50:28,359 Speaker 1: sense of taste, so you do need a test. I 827 00:50:28,400 --> 00:50:32,200 Speaker 1: think it's it's a serious problem. It's one set, Like 828 00:50:32,320 --> 00:50:35,280 Speaker 1: I said, I think it's set to continue. Oh, Mama Bowling, 829 00:50:36,000 --> 00:50:38,239 Speaker 1: we need to hang out with your mom. I think 830 00:50:38,239 --> 00:50:41,680 Speaker 1: I've met your mom, Ben, Seriously, she goes to another 831 00:50:41,719 --> 00:50:51,640 Speaker 1: school from Canada, Ben's Canadian. I mean, this is an 832 00:50:51,640 --> 00:50:54,640 Speaker 1: important story, you know. One of the most frightening things 833 00:50:54,640 --> 00:50:58,359 Speaker 1: about this is similar to the marine animal die offs, 834 00:50:58,480 --> 00:51:00,920 Speaker 1: is what it paints for the future. Right Because, like 835 00:51:00,960 --> 00:51:03,759 Speaker 1: you said, you imagine you're a person India, you get 836 00:51:03,760 --> 00:51:07,720 Speaker 1: a chance to get vaccinated. You're well aware of this story. 837 00:51:07,960 --> 00:51:10,239 Speaker 1: You're not a doctor. How do you know what they're 838 00:51:10,280 --> 00:51:13,239 Speaker 1: putting in you was the actual vaccine? Right? So I 839 00:51:13,239 --> 00:51:15,799 Speaker 1: don't know, man, Yeah, and especially even when you know 840 00:51:15,840 --> 00:51:18,880 Speaker 1: in this country, Um, I think I feel pretty confident 841 00:51:18,920 --> 00:51:21,279 Speaker 1: that I got the real vaccine. I feel like most 842 00:51:21,320 --> 00:51:24,760 Speaker 1: people do. The conspiracies are still a plenty, right, Um, 843 00:51:24,800 --> 00:51:27,359 Speaker 1: even if we're pretty confident that we're getting these from 844 00:51:27,400 --> 00:51:31,080 Speaker 1: actual medical practitioners, and you start to distrust, you know, 845 00:51:31,200 --> 00:51:34,479 Speaker 1: the process beyond just these kind of more fringe type 846 00:51:34,520 --> 00:51:37,879 Speaker 1: conspiracies and just say why even bother that really could 847 00:51:37,880 --> 00:51:41,040 Speaker 1: throw a wrench into things globally and um, like you said, Man, 848 00:51:41,080 --> 00:51:43,400 Speaker 1: this is happening in other countries too, So I'm going 849 00:51:43,440 --> 00:51:45,480 Speaker 1: to keep an eye on um. But it certainly we 850 00:51:45,520 --> 00:51:47,640 Speaker 1: haven't seen the end of a COVID nineteen, not to 851 00:51:48,160 --> 00:51:49,600 Speaker 1: you know, put too fine a point on it, or 852 00:51:49,640 --> 00:51:52,000 Speaker 1: to make it to diere Obviously things are better in 853 00:51:52,040 --> 00:51:54,640 Speaker 1: many respects, but when you hear stories like this, it 854 00:51:54,680 --> 00:51:57,000 Speaker 1: does kind of put a little dent in your enthusiasm 855 00:51:57,080 --> 00:51:59,960 Speaker 1: about how things are going. That's very well said, Yeah, 856 00:52:00,120 --> 00:52:04,520 Speaker 1: because the world is not moving in step the path 857 00:52:04,600 --> 00:52:07,400 Speaker 1: to recovery. And each of the stories we've discussed in 858 00:52:07,400 --> 00:52:11,239 Speaker 1: this week's segment our stories that are inevitably going to 859 00:52:11,320 --> 00:52:14,600 Speaker 1: have a follow up. Hopefully we'll learn more about the 860 00:52:14,600 --> 00:52:17,239 Speaker 1: conditions on the ground in Haiti and what led to 861 00:52:17,280 --> 00:52:21,680 Speaker 1: the assassination. Hopefully the species will learn some way to 862 00:52:21,920 --> 00:52:27,080 Speaker 1: prevent further or at this point honestly mitigate further mass 863 00:52:27,200 --> 00:52:33,359 Speaker 1: die offs. And hopefully hopefully there's a way, whether through 864 00:52:33,480 --> 00:52:38,320 Speaker 1: public policy or private enterprise, to tackle the looming danger 865 00:52:39,040 --> 00:52:44,279 Speaker 1: of evolving infections and the rush towards vaccination. We've hit 866 00:52:44,320 --> 00:52:48,479 Speaker 1: on some controversial topics today, folks, yep, and we want 867 00:52:48,520 --> 00:52:51,560 Speaker 1: to know what you think. In each case, we have 868 00:52:52,000 --> 00:52:58,719 Speaker 1: engaged with um some ongoing conspiracies, not theories, conspiracies, So 869 00:52:58,760 --> 00:53:01,040 Speaker 1: we'd love to hear your pay unions would love to 870 00:53:01,080 --> 00:53:04,239 Speaker 1: hear your take. If you have personal experience in India, 871 00:53:04,360 --> 00:53:08,520 Speaker 1: in Haiti, in the part of the northwest where these 872 00:53:08,600 --> 00:53:11,960 Speaker 1: dieops are current, or in Florida. Uh, let us know 873 00:53:12,040 --> 00:53:14,640 Speaker 1: what you experience. We try to be easy to find online. 874 00:53:14,800 --> 00:53:17,080 Speaker 1: That's right. You can find us on Facebook. You can 875 00:53:17,120 --> 00:53:20,000 Speaker 1: find us on Twitter. You can find us on YouTube 876 00:53:20,040 --> 00:53:24,800 Speaker 1: at Conspiracy Stuff or Conspiracy Stuff Show. On Instagram. You 877 00:53:24,840 --> 00:53:27,160 Speaker 1: can give us a telephone call one eight three three 878 00:53:27,280 --> 00:53:31,799 Speaker 1: std w y t K. That's right. Let us know 879 00:53:31,840 --> 00:53:34,560 Speaker 1: what you'd like for us to call you and then 880 00:53:34,640 --> 00:53:37,239 Speaker 1: leave a message. You've got three minutes. We asked that 881 00:53:37,280 --> 00:53:39,799 Speaker 1: you put right up front exactly what you would like 882 00:53:39,920 --> 00:53:42,920 Speaker 1: to be on air. If you're going that route, then 883 00:53:42,960 --> 00:53:44,800 Speaker 1: if you want to say anything personal to us, please 884 00:53:44,840 --> 00:53:46,960 Speaker 1: put that at the end. Oh I do want to 885 00:53:46,960 --> 00:53:49,560 Speaker 1: say on the personal note, Matt, just for an example, 886 00:53:50,000 --> 00:53:53,560 Speaker 1: thank you for thank you for laughing at that statement 887 00:53:53,600 --> 00:53:58,919 Speaker 1: from my mom. That is that is a true story. 888 00:53:59,000 --> 00:54:02,600 Speaker 1: Oh boy, Just imagine you're so sweetly saying, oh, sweetheart, 889 00:54:03,280 --> 00:54:06,680 Speaker 1: you never could taste anything. She said. She wasn't joking, 890 00:54:07,239 --> 00:54:10,520 Speaker 1: she said you had you never had taste to begin anyway, Well, 891 00:54:10,520 --> 00:54:12,840 Speaker 1: tell her tell her to give the We need to 892 00:54:12,840 --> 00:54:16,000 Speaker 1: convince her to leave messages like check ins with you 893 00:54:16,200 --> 00:54:19,239 Speaker 1: VR messaging system. Oh my god, that we have all 894 00:54:19,280 --> 00:54:23,840 Speaker 1: of our parents and we could get another certain Bowland 895 00:54:24,080 --> 00:54:28,120 Speaker 1: to give us like anonymous intel. Okay, so Matt, what 896 00:54:28,239 --> 00:54:31,879 Speaker 1: does somebody do if they if if the phone call 897 00:54:32,200 --> 00:54:35,200 Speaker 1: is not enough time you can say their story with 898 00:54:35,239 --> 00:54:38,160 Speaker 1: the fullest desserts. Yeah, that you're right, let's move on. 899 00:54:38,280 --> 00:54:42,560 Speaker 1: It should be an email instead because you can add links, attachments. 900 00:54:42,600 --> 00:54:45,360 Speaker 1: Will will be careful with attachments because you know we 901 00:54:45,440 --> 00:54:50,400 Speaker 1: may we may not be able to open those. Uh yeah, 902 00:54:50,640 --> 00:54:53,040 Speaker 1: you can send those to our good old fashioned email address. 903 00:54:53,120 --> 00:55:00,319 Speaker 1: We are conspiracy and I heart radio dot com. Yeah 904 00:55:04,080 --> 00:55:15,600 Speaker 1: h stuff they don't want you to know. Is a 905 00:55:15,640 --> 00:55:18,680 Speaker 1: production of I heart Radio. For more podcasts from my 906 00:55:18,719 --> 00:55:21,680 Speaker 1: heart Radio, visit the i heart Radio app, Apple Podcasts, 907 00:55:21,760 --> 00:55:23,640 Speaker 1: or wherever you listen to your favorite shows.