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Come in 18 00:00:58,160 --> 00:01:00,640 Speaker 1: and explore and see what other deals you can find. 19 00:01:02,640 --> 00:01:04,880 Speaker 1: Kind have been following this Elon Musk thing with Twitter 20 00:01:05,920 --> 00:01:08,720 Speaker 1: since the beginning. I'm fascinated about Elon Musk because I 21 00:01:08,920 --> 00:01:13,560 Speaker 1: think he's such a weird, trippy character, and there are 22 00:01:13,600 --> 00:01:15,880 Speaker 1: times that I just think that man's brilliant, and there 23 00:01:15,880 --> 00:01:19,360 Speaker 1: are times I just think what a jackass. And the 24 00:01:19,520 --> 00:01:22,760 Speaker 1: Twitter purchase, I have to tell you, I thought more 25 00:01:22,800 --> 00:01:26,560 Speaker 1: like jackass I did. I thought that these guys that 26 00:01:26,600 --> 00:01:28,600 Speaker 1: he's he's he's buying it because he wants to be 27 00:01:28,600 --> 00:01:31,720 Speaker 1: able to use it to promote his own stuff, or 28 00:01:31,920 --> 00:01:34,960 Speaker 1: maybe he just wants a big toy. Not really sure. 29 00:01:35,440 --> 00:01:38,360 Speaker 1: Our aby seniors corresponded as Alex Stone and a stone 30 00:01:38,400 --> 00:01:40,479 Speaker 1: always going to hear from you there, my friend, Um, 31 00:01:41,560 --> 00:01:46,319 Speaker 1: does Elon Musk really want Twitter? You know, nobody knows Chris, 32 00:01:46,360 --> 00:01:48,800 Speaker 1: and we don't know what this really is right now. 33 00:01:48,840 --> 00:01:51,760 Speaker 1: That he tweeted out this morning that the deal was 34 00:01:51,840 --> 00:01:54,440 Speaker 1: on hold, then tweeted out that it was still on 35 00:01:54,560 --> 00:01:57,680 Speaker 1: that that he was that dedicated to it, that he 36 00:01:57,760 --> 00:02:00,360 Speaker 1: was committed to it, but that he wants to know 37 00:02:00,400 --> 00:02:03,560 Speaker 1: how many bots are really on Twitter. And this has 38 00:02:03,600 --> 00:02:08,040 Speaker 1: been something that even long before he was talking about 39 00:02:08,040 --> 00:02:11,520 Speaker 1: buying Twitter, he has been talking about the bots on Twitter. 40 00:02:11,560 --> 00:02:16,120 Speaker 1: And you'll either be Russian bots or the bots that 41 00:02:16,440 --> 00:02:20,120 Speaker 1: track his airplane, everywhere he goes that are constantly putting 42 00:02:20,120 --> 00:02:22,720 Speaker 1: out where he is. He's been mad at that hasn't 43 00:02:22,720 --> 00:02:25,040 Speaker 1: been able to stop that. He's tried to pay off 44 00:02:25,040 --> 00:02:27,680 Speaker 1: the kid who came up with that bot. But he 45 00:02:27,760 --> 00:02:32,160 Speaker 1: wants to know how many fake accounts spam bots are 46 00:02:32,200 --> 00:02:36,600 Speaker 1: on Twitter. Twitter has said, and it's regulatory filings that 47 00:02:36,720 --> 00:02:41,680 Speaker 1: it's four or five percent maybe not real accounts, not 48 00:02:41,800 --> 00:02:46,640 Speaker 1: real people, but Musk is indicating that he believes probably 49 00:02:46,720 --> 00:02:49,520 Speaker 1: higher than that of those who are are not real. 50 00:02:49,760 --> 00:02:52,920 Speaker 1: So he's been pretty obsessed with it. This week, he 51 00:02:53,000 --> 00:02:56,320 Speaker 1: was asked to during a forum with the financial time, 52 00:02:56,440 --> 00:02:59,440 Speaker 1: so you're going to buy Twitter? And he immediately talked 53 00:02:59,480 --> 00:03:02,480 Speaker 1: about by ship needs to really get rid of the 54 00:03:03,160 --> 00:03:08,679 Speaker 1: bunts and the scams and spembers and anyone trying to 55 00:03:08,720 --> 00:03:11,799 Speaker 1: create sort of think influence on the side fire whereas 56 00:03:12,000 --> 00:03:15,360 Speaker 1: one person or one entity operating one hundred thousand counts. 57 00:03:15,400 --> 00:03:17,440 Speaker 1: So is he going to bail because of that? We 58 00:03:17,560 --> 00:03:20,320 Speaker 1: don't know. Analysts are saying at this point he is 59 00:03:20,400 --> 00:03:24,520 Speaker 1: deep enough into this deal forty four billion dollars that 60 00:03:24,600 --> 00:03:26,560 Speaker 1: to get out of it it would be about a 61 00:03:26,600 --> 00:03:29,799 Speaker 1: billion dollars that he would have to pay unless he 62 00:03:29,840 --> 00:03:34,120 Speaker 1: can prove that Twitter has been knowingly lying to the 63 00:03:34,160 --> 00:03:38,440 Speaker 1: world and that it has not been truthful about knowing 64 00:03:38,440 --> 00:03:41,680 Speaker 1: how many of its users are real humans and those 65 00:03:41,760 --> 00:03:45,320 Speaker 1: that aren't. And he says this is not a done 66 00:03:45,320 --> 00:03:48,640 Speaker 1: deal yet, and in fact, earlier today the CEO of 67 00:03:48,680 --> 00:03:52,040 Speaker 1: Twitter tweeted out that they plan on to the effect 68 00:03:52,040 --> 00:03:54,840 Speaker 1: of they plan on this going forward, but they have 69 00:03:54,880 --> 00:03:57,920 Speaker 1: to plan on all contingencies, not knowing what's going to 70 00:03:58,000 --> 00:04:00,800 Speaker 1: go on, and must pretty much said that this week 71 00:04:00,840 --> 00:04:03,880 Speaker 1: with the financial times of Hey, we're not there yet. 72 00:04:04,240 --> 00:04:05,880 Speaker 1: I mean, I think there's still a lot of things 73 00:04:05,920 --> 00:04:08,720 Speaker 1: that needs to get done before the still include obviously 74 00:04:08,720 --> 00:04:12,880 Speaker 1: going to not get even been a Charyolder vote, and 75 00:04:12,960 --> 00:04:15,880 Speaker 1: Twitter has not yet found the proxy for a Charyold 76 00:04:15,920 --> 00:04:17,520 Speaker 1: of vote. Yeah, so they still have to do the 77 00:04:17,560 --> 00:04:21,480 Speaker 1: proxy work. They've still got to do the vote. So, 78 00:04:21,960 --> 00:04:24,080 Speaker 1: you know, has he been toying with everybody the whole time? 79 00:04:24,200 --> 00:04:27,240 Speaker 1: We don't know? Or is everybody reading too much into 80 00:04:27,279 --> 00:04:29,560 Speaker 1: his tweets? Remember a few weeks ago he said, Hey, 81 00:04:30,000 --> 00:04:32,320 Speaker 1: you know, everybody picks apart every word that I use, 82 00:04:32,720 --> 00:04:35,560 Speaker 1: but I'm usually sitting on the toilet when I do it. 83 00:04:35,920 --> 00:04:38,320 Speaker 1: And he said, don't don't think too much about it 84 00:04:38,440 --> 00:04:41,160 Speaker 1: that you know, I tweeted. I just think something is 85 00:04:41,200 --> 00:04:43,760 Speaker 1: funny or it's on my mind. But what he did today, 86 00:04:44,200 --> 00:04:47,080 Speaker 1: no matter if it was sitting on the john and 87 00:04:47,600 --> 00:04:50,080 Speaker 1: tweeting because it was on his mind, or if it 88 00:04:50,200 --> 00:04:55,159 Speaker 1: was something more strategic, he tanked the stock price Twitter 89 00:04:55,600 --> 00:04:59,080 Speaker 1: by about ten percent. Tesla fell as what he does, 90 00:04:59,279 --> 00:05:02,000 Speaker 1: but he saying it's on hold at the moment, and 91 00:05:02,160 --> 00:05:03,960 Speaker 1: he wants to know about the bots, and then he'll 92 00:05:04,000 --> 00:05:07,159 Speaker 1: decide what he's going to do. All right, Alex Stone 93 00:05:07,200 --> 00:05:10,800 Speaker 1: or a news correspondent, and Alex, Okay, there are so 94 00:05:10,960 --> 00:05:14,039 Speaker 1: many different questions I have regarding this. First of all, 95 00:05:15,560 --> 00:05:19,720 Speaker 1: why would we want to limit the bots? Why does 96 00:05:19,760 --> 00:05:22,480 Speaker 1: he care about that? If he's so concerned about free speech? 97 00:05:22,839 --> 00:05:25,640 Speaker 1: If I program a bot to say what I'm thinking, 98 00:05:25,920 --> 00:05:28,799 Speaker 1: is that not an expression of me the programmer? Wouldn't 99 00:05:28,839 --> 00:05:31,040 Speaker 1: that be within my free speech rights? Provided I'm not 100 00:05:31,080 --> 00:05:34,520 Speaker 1: committing fraud or something of that sort. Why limit the bots? 101 00:05:34,760 --> 00:05:38,160 Speaker 1: It's simply an extension of a programmer's free speech. But 102 00:05:38,279 --> 00:05:41,280 Speaker 1: it's a couple of things. One is advertiser wise, then, 103 00:05:41,400 --> 00:05:43,520 Speaker 1: as he mentioned, you can have one person who has 104 00:05:43,880 --> 00:05:47,480 Speaker 1: one hundred thousand accounts and okay, so you've got those 105 00:05:47,640 --> 00:05:50,280 Speaker 1: hundred thousand or not real, and see you don't know 106 00:05:50,320 --> 00:05:54,640 Speaker 1: what the real numbers are. Bots have been a pain 107 00:05:54,800 --> 00:05:57,840 Speaker 1: in his butt for a long time. There's that bot 108 00:05:57,960 --> 00:06:00,840 Speaker 1: that I mentioned that tracks were his plane goes and 109 00:06:00,880 --> 00:06:04,400 Speaker 1: automatically lets everybody know where he just landed and where 110 00:06:04,520 --> 00:06:08,040 Speaker 1: he is. He hates that bot. There are the Russian 111 00:06:08,200 --> 00:06:11,840 Speaker 1: bots that now we know messed with the election and 112 00:06:12,040 --> 00:06:15,400 Speaker 1: what six years ago now. So there are a lot 113 00:06:15,440 --> 00:06:19,400 Speaker 1: of different ways that this can go on of influencing things, 114 00:06:19,800 --> 00:06:24,360 Speaker 1: of messing with people, of making people believe something is 115 00:06:24,480 --> 00:06:27,760 Speaker 1: much bigger than it really is. That if you think 116 00:06:27,880 --> 00:06:31,160 Speaker 1: that there are millions of people who are promoting this 117 00:06:31,320 --> 00:06:36,000 Speaker 1: political idea and they are computers just automatically doing that 118 00:06:37,320 --> 00:06:41,000 Speaker 1: or bashing something changing public opinion, it can be a 119 00:06:41,080 --> 00:06:42,680 Speaker 1: really bad thing. And we know that there are a 120 00:06:42,760 --> 00:06:46,400 Speaker 1: lot of bots on there, so the influence can be 121 00:06:46,560 --> 00:06:48,920 Speaker 1: really big. It can be advertisers, it could be his 122 00:06:49,000 --> 00:06:53,480 Speaker 1: own annoyance, or it could be fake influence in this world, 123 00:06:53,520 --> 00:06:55,120 Speaker 1: and there's a lot of it where you say, wow, 124 00:06:55,200 --> 00:06:57,360 Speaker 1: look at all these people going to this rally or 125 00:06:57,880 --> 00:07:02,200 Speaker 1: for this cause, and it is a Russian or somebody 126 00:07:02,279 --> 00:07:05,800 Speaker 1: in the US programming it to look that way of 127 00:07:06,080 --> 00:07:09,680 Speaker 1: a million fake Twitter accounts, Well, and that's a problem. 128 00:07:09,760 --> 00:07:11,240 Speaker 1: And then and he says we need to get rid 129 00:07:11,240 --> 00:07:15,480 Speaker 1: of it. So, Alex, I guess the advertisers standpoint makes 130 00:07:15,520 --> 00:07:17,120 Speaker 1: sense to me. The rest of it seems like a 131 00:07:17,200 --> 00:07:20,720 Speaker 1: contradiction to me. Everything you said. By the way, Alex, 132 00:07:20,840 --> 00:07:24,320 Speaker 1: I agree with I'm just juxtaposing that to what he's 133 00:07:24,320 --> 00:07:26,800 Speaker 1: said about freedom in the past and how we should 134 00:07:26,840 --> 00:07:30,560 Speaker 1: have unlimited speech. And if he's concerned with too many 135 00:07:30,760 --> 00:07:34,760 Speaker 1: people showing an undue influence, what about one person who 136 00:07:34,840 --> 00:07:38,040 Speaker 1: has an undue influence when they're doing some some poopy 137 00:07:38,120 --> 00:07:41,880 Speaker 1: twittering because he has more followers. Well, that's true, I 138 00:07:41,920 --> 00:07:45,080 Speaker 1: mean get you could argue, yeah, absolutely, you could argue 139 00:07:45,120 --> 00:07:47,480 Speaker 1: that as well. And yeah, but he's saying that if 140 00:07:47,520 --> 00:07:52,200 Speaker 1: it is somebody who has yea their sole goal is 141 00:07:52,280 --> 00:07:58,400 Speaker 1: to sit in Saint Petersburg or in Moscow and act 142 00:07:58,480 --> 00:08:02,480 Speaker 1: like that they are um in the politics of the 143 00:08:02,640 --> 00:08:06,320 Speaker 1: US and organizing and going for a certain candidate, that 144 00:08:06,640 --> 00:08:08,600 Speaker 1: that's a problem. But you know, and he's been into 145 00:08:08,600 --> 00:08:11,760 Speaker 1: the freedom thing and whatnot. I'm bringing people back. Bottom line, though, Chris, 146 00:08:12,200 --> 00:08:15,720 Speaker 1: he's having a lot of influence even without having to 147 00:08:15,800 --> 00:08:18,960 Speaker 1: own the company. They're making changes right now. There's a 148 00:08:19,040 --> 00:08:23,280 Speaker 1: hiring freeze. Executives have been toying with leaving or leaving 149 00:08:23,840 --> 00:08:27,480 Speaker 1: that they've been unfreezing things, talking about policy changes. Even 150 00:08:27,520 --> 00:08:29,840 Speaker 1: if he were to back out right now, he did. 151 00:08:30,400 --> 00:08:33,840 Speaker 1: He made changes at Twitter and is bring it up 152 00:08:33,880 --> 00:08:36,360 Speaker 1: in that way. The other thing, though, is some of 153 00:08:36,400 --> 00:08:40,280 Speaker 1: the analysts are saying this is a move to um 154 00:08:40,640 --> 00:08:43,040 Speaker 1: it's a toy with Twitter. Maybe it is, but but 155 00:08:43,200 --> 00:08:45,640 Speaker 1: some believe that this is to bring down the price tag, 156 00:08:46,040 --> 00:08:49,520 Speaker 1: that he made it less of a lucrative company today 157 00:08:50,000 --> 00:08:52,880 Speaker 1: by bringing down the stock price, that that maybe he 158 00:08:52,880 --> 00:08:55,839 Speaker 1: doesn't want to pay forty four billion dollars. Others are saying, no, 159 00:08:56,000 --> 00:08:58,559 Speaker 1: he's doing his due diligence to know a company that 160 00:08:58,800 --> 00:09:02,400 Speaker 1: he's about to buy. Others are saying that this is 161 00:09:02,520 --> 00:09:05,120 Speaker 1: him bailing and that we are beginning to see it 162 00:09:05,240 --> 00:09:07,120 Speaker 1: right now and that maybe he never planned on going 163 00:09:07,160 --> 00:09:09,160 Speaker 1: all the way through and now this is his out, 164 00:09:09,280 --> 00:09:12,480 Speaker 1: just real quickly. Sarah Silver, financial professor in Connecticut, this 165 00:09:12,559 --> 00:09:13,839 Speaker 1: is her take on it. I think this is a 166 00:09:13,960 --> 00:09:16,880 Speaker 1: pretext for getting out of the deal. It's simply not 167 00:09:17,000 --> 00:09:19,600 Speaker 1: credible that he didn't know this was an issue. He's 168 00:09:19,640 --> 00:09:23,680 Speaker 1: a very sophisticated investor, and this has been a problem 169 00:09:23,800 --> 00:09:27,560 Speaker 1: disclosed in SEC filings for years. And she says billion 170 00:09:27,640 --> 00:09:30,520 Speaker 1: dollars that he actually would make out in the end, 171 00:09:30,559 --> 00:09:33,599 Speaker 1: that this was a money making prospect for him, that 172 00:09:33,679 --> 00:09:35,640 Speaker 1: even if he has to pay a billion, that he 173 00:09:35,920 --> 00:09:40,240 Speaker 1: withdrew knowing that, maybe knowing that it could have known 174 00:09:40,360 --> 00:09:42,720 Speaker 1: that the stock market, I mean, look what's been going 175 00:09:42,760 --> 00:09:45,040 Speaker 1: on with it. Price of Tesla has gone down even 176 00:09:45,200 --> 00:09:48,640 Speaker 1: likely would have without this. He was able to pull 177 00:09:48,720 --> 00:09:52,199 Speaker 1: out a lot of money of Tesla's shares when the 178 00:09:52,440 --> 00:09:54,559 Speaker 1: price was high, to then put the money toward this. 179 00:09:54,720 --> 00:09:57,120 Speaker 1: So in the end, her take on it is well, 180 00:09:57,200 --> 00:09:58,959 Speaker 1: he won. He made money on this, even if he 181 00:09:59,000 --> 00:10:01,400 Speaker 1: were to bail Right now, she says, Twitter, we know, 182 00:10:01,600 --> 00:10:04,160 Speaker 1: not a great investment when you look at it on paper. 183 00:10:04,200 --> 00:10:06,120 Speaker 1: Maybe he wanted it for the name or as a 184 00:10:06,200 --> 00:10:08,800 Speaker 1: toy or something else. Not a great investment. Who would 185 00:10:08,840 --> 00:10:10,280 Speaker 1: make money to to bail on it, But we don't 186 00:10:10,280 --> 00:10:13,280 Speaker 1: know what he's gonna do. I'm fascinated by all of it. Alex. 187 00:10:13,360 --> 00:10:15,520 Speaker 1: Great reporting has always have a great weekend there, my friend. 188 00:10:15,600 --> 00:10:18,600 Speaker 1: Look forward to seeing you you too, Thanks for us later, 189 00:10:18,600 --> 00:10:21,199 Speaker 1: all right, Bell. Alex Stone, our ABC, was correspondent in 190 00:10:21,400 --> 00:10:23,599 Speaker 1: La You hear how, Deborah. I just told him I 191 00:10:23,600 --> 00:10:25,840 Speaker 1: look forward to seeing you. Yeah. I've never met Alex. Yeah, 192 00:10:25,840 --> 00:10:27,480 Speaker 1: I've never met him. No, I just want him to 193 00:10:27,520 --> 00:10:29,520 Speaker 1: think that I'm the guy driving by his house every day. 194 00:10:29,840 --> 00:10:35,120 Speaker 1: He sounded a little perplexed. I thought something, Yeah, okay, 195 00:10:35,400 --> 00:10:38,160 Speaker 1: all right, you're just showing up the house here. Yeah. No, 196 00:10:38,280 --> 00:10:40,760 Speaker 1: it's a little creepy, I know. But he's one of 197 00:10:40,800 --> 00:10:42,640 Speaker 1: those guys like he's the celebrity. I want to be 198 00:10:42,720 --> 00:10:46,199 Speaker 1: my best friend. Yeah. But then I know how it 199 00:10:46,440 --> 00:10:49,520 Speaker 1: is when you know you've been like before, Deborah, you've 200 00:10:49,559 --> 00:10:52,320 Speaker 1: been out before, and somebody is like way too friendly 201 00:10:52,360 --> 00:10:56,000 Speaker 1: with you and and they're like, we can be best friends, right, Yeah, 202 00:10:56,240 --> 00:10:58,000 Speaker 1: but that's me with Alex Stone. I'm like, Alex, you 203 00:10:58,040 --> 00:11:00,000 Speaker 1: will be my best friend. Now, let's let's be best friends. 204 00:11:00,080 --> 00:11:01,840 Speaker 1: Come over and hang out. Please come over, Alex, Let's 205 00:11:01,840 --> 00:11:04,600 Speaker 1: have a pool party. Please. Well, well, you both are 206 00:11:04,720 --> 00:11:07,160 Speaker 1: very nice guys. I'm sure you get along very well. 207 00:11:07,280 --> 00:11:10,079 Speaker 1: You're very nice to me. All right. From Musk and 208 00:11:10,360 --> 00:11:13,240 Speaker 1: his tech woes to the crypto woes. In just a moment, 209 00:11:13,320 --> 00:11:15,600 Speaker 1: Chris merrill in for Johnny ken k If, I am 210 00:11:15,679 --> 00:11:18,520 Speaker 1: six forty live everywhere on your iHeartRadio app. Hey, Oh, 211 00:11:18,600 --> 00:11:20,120 Speaker 1: Chris merrill in for john and ken k If, I 212 00:11:20,200 --> 00:11:22,800 Speaker 1: am six forty more stimulating talk. I just just saw 213 00:11:22,880 --> 00:11:27,840 Speaker 1: that fred Ward died. Oh that was a guy from UM. 214 00:11:29,120 --> 00:11:32,319 Speaker 1: I know him from Tremors. Uh not Kevin Bacon, the 215 00:11:32,400 --> 00:11:35,480 Speaker 1: other guy. All right, remember the movie Tremors. Um. He 216 00:11:35,600 --> 00:11:39,400 Speaker 1: was in the Right Stuff. He was. He was one 217 00:11:39,440 --> 00:11:43,360 Speaker 1: of the convicts that escaped in in Escape from Alcatraz. 218 00:11:43,400 --> 00:11:47,040 Speaker 1: It was the Clinicstwood Alcatraz movie. Anyway, he just died 219 00:11:47,240 --> 00:11:50,600 Speaker 1: seventy nine years old. Oh yeah, I played Gus Grissom 220 00:11:50,640 --> 00:11:54,079 Speaker 1: in the in the Right Stuff. I liked him. He 221 00:11:54,200 --> 00:11:57,040 Speaker 1: just passed away seventy nine. Statement to the New York 222 00:11:57,040 --> 00:11:59,199 Speaker 1: Post by words representatives said that the actor died I'm 223 00:11:59,600 --> 00:12:02,560 Speaker 1: mate eighth. No cause, so I guess he didn't just die. 224 00:12:03,040 --> 00:12:06,160 Speaker 1: No cause of death was given, So there you go. 225 00:12:06,480 --> 00:12:09,439 Speaker 1: That's too bad. I hate it when I hate it 226 00:12:09,480 --> 00:12:15,160 Speaker 1: when we lose those those fun actors. M Oh what 227 00:12:15,320 --> 00:12:19,079 Speaker 1: he stinks that way? I know. I know I'm getting 228 00:12:19,120 --> 00:12:21,320 Speaker 1: old when when we have somebody who's an older actor 229 00:12:21,400 --> 00:12:23,120 Speaker 1: passed it and I go, oh, there'll never be another 230 00:12:23,160 --> 00:12:25,280 Speaker 1: one like them, and I and I look at the 231 00:12:25,400 --> 00:12:28,480 Speaker 1: younger generation of actors like, oh, they're all punks. Oh 232 00:12:28,679 --> 00:12:31,040 Speaker 1: none of them could ever fill his shoes, or they 233 00:12:31,080 --> 00:12:36,120 Speaker 1: couldn't do that, or or punks today. Everybody's a punk 234 00:12:36,120 --> 00:12:37,640 Speaker 1: when they're in their twenties and trying to act, and 235 00:12:37,640 --> 00:12:39,880 Speaker 1: then they grow up and then they become those legendary actors. 236 00:12:39,960 --> 00:12:41,920 Speaker 1: But you know, I'm a grumpy old man now, so 237 00:12:42,120 --> 00:12:43,760 Speaker 1: I'll never see the people who were in their twenties 238 00:12:43,760 --> 00:12:45,640 Speaker 1: today grow up to be seventy nine years old. So 239 00:12:46,160 --> 00:12:48,480 Speaker 1: as far as I'm concerned, God, we lost a good one. 240 00:12:48,559 --> 00:12:54,760 Speaker 1: We'll never replace him. Gir Speaking of young people, I'm 241 00:12:54,840 --> 00:12:58,520 Speaker 1: not that old mid forties guy, right, And I was 242 00:12:59,040 --> 00:13:04,520 Speaker 1: into the crypto a few years back, so I do 243 00:13:04,720 --> 00:13:08,000 Speaker 1: have an understanding of the blockchain and the cryptocurrencies and 244 00:13:08,080 --> 00:13:11,400 Speaker 1: things like that. I lost some money in crypto. To 245 00:13:11,480 --> 00:13:15,079 Speaker 1: be perfectly honest, the reason I lost money in crypto, 246 00:13:15,880 --> 00:13:19,880 Speaker 1: if I can sort of rationalize, was that I was 247 00:13:19,960 --> 00:13:21,480 Speaker 1: doing some mining and I know some of the guys 248 00:13:21,520 --> 00:13:24,120 Speaker 1: around here are they know the cryptocurrencies pretty well. I 249 00:13:24,240 --> 00:13:27,079 Speaker 1: was doing some mining, and so I was paying a 250 00:13:27,160 --> 00:13:31,240 Speaker 1: lot for mining equipment. That's how you make the you 251 00:13:31,360 --> 00:13:37,280 Speaker 1: make the cryptocurrency basically. And then I was selling it 252 00:13:37,559 --> 00:13:39,800 Speaker 1: at the time rather than banking it. I should have 253 00:13:39,880 --> 00:13:41,719 Speaker 1: banked everything that I was mining at the time, but 254 00:13:41,760 --> 00:13:45,280 Speaker 1: I didn't. I was selling it to try to to 255 00:13:45,440 --> 00:13:47,400 Speaker 1: try to play the crypto market. I should not have 256 00:13:47,480 --> 00:13:50,079 Speaker 1: done that in hindsight, shouldn't have done that. Then the 257 00:13:50,160 --> 00:13:52,839 Speaker 1: other thing that happened was my wife said stopping, and 258 00:13:52,960 --> 00:13:54,520 Speaker 1: so I said, okay, and I sold all of my 259 00:13:54,600 --> 00:13:58,240 Speaker 1: mining equipment and then and then I liquidated most of 260 00:13:58,600 --> 00:14:01,000 Speaker 1: the cryptocurrencies I had at the time time. So now 261 00:14:01,080 --> 00:14:03,280 Speaker 1: I have, you know, it's like the point zero zero 262 00:14:03,440 --> 00:14:05,920 Speaker 1: whatever amount of bitcoin that I have, like, you know, 263 00:14:05,920 --> 00:14:09,360 Speaker 1: a couple hundred dollars worth. So had I held on 264 00:14:09,559 --> 00:14:12,120 Speaker 1: to and continued to be mining, some of the stuff 265 00:14:12,120 --> 00:14:13,560 Speaker 1: that I had would have been worth quite a bit 266 00:14:13,600 --> 00:14:17,720 Speaker 1: of money. It's sort of it's sort of like listening 267 00:14:17,720 --> 00:14:19,520 Speaker 1: to pop So when I used to talk about having 268 00:14:19,560 --> 00:14:22,000 Speaker 1: baseball cards as a kid back in the fifties, and 269 00:14:22,160 --> 00:14:23,960 Speaker 1: then we look at how much those baseball cards will 270 00:14:23,960 --> 00:14:26,360 Speaker 1: be worth today. Right. It's similar to the situation where 271 00:14:26,360 --> 00:14:27,680 Speaker 1: I go. Man, if I had held on to this, 272 00:14:27,800 --> 00:14:30,200 Speaker 1: then I would have this much today. But I don't 273 00:14:30,240 --> 00:14:33,880 Speaker 1: worry about it too much. I do, however, still keep 274 00:14:33,920 --> 00:14:36,000 Speaker 1: a side eye and what's going what's going on over 275 00:14:36,040 --> 00:14:38,920 Speaker 1: there with the cryptos. What's happened there with those cryptocurrencies? 276 00:14:40,120 --> 00:14:45,080 Speaker 1: As of right now the cryptocurrencies are Yeah, they've gone 277 00:14:45,080 --> 00:14:49,160 Speaker 1: to trash. Man, it's not been good in the crypto markets. 278 00:14:49,200 --> 00:14:51,200 Speaker 1: In fact, here, let me pull up the stuff that 279 00:14:51,240 --> 00:14:53,160 Speaker 1: I have written from me. I still have the apps 280 00:14:53,200 --> 00:14:56,920 Speaker 1: on my phone, so let me see. Bitcoin right now 281 00:14:57,240 --> 00:15:01,840 Speaker 1: is below thirty thousand perspective. Bitcoin was up over sixty 282 00:15:01,880 --> 00:15:05,640 Speaker 1: thousand last year. The price of bitcoin plunging to its 283 00:15:05,720 --> 00:15:08,440 Speaker 1: lowest points is twenty twenty. This from the New York Times. 284 00:15:09,040 --> 00:15:11,960 Speaker 1: Coin Base, the large cryptocurrency exchange tanked and value of 285 00:15:12,000 --> 00:15:15,840 Speaker 1: cryptocurrency that promoted itself as a stable means of exchange collapsed. 286 00:15:16,280 --> 00:15:19,000 Speaker 1: I think that was Luna, right fellis Luna dropped like 287 00:15:19,080 --> 00:15:22,000 Speaker 1: more than ninety nine percent. It's under a dollar now 288 00:15:22,120 --> 00:15:24,000 Speaker 1: or something, or is it under a penny? And it 289 00:15:24,080 --> 00:15:27,080 Speaker 1: was whatever it was, it was crazy how much it 290 00:15:27,320 --> 00:15:31,240 Speaker 1: dropped off more than three hundred billion dollars wiped out 291 00:15:31,320 --> 00:15:35,720 Speaker 1: by a crash in cryptocurrency prices just since Monday. This 292 00:15:35,960 --> 00:15:40,240 Speaker 1: week alone, three hundred billion dollars lost in cryptocurrency. According 293 00:15:40,280 --> 00:15:41,800 Speaker 1: to The New York Times, crypto world went into a 294 00:15:41,880 --> 00:15:44,160 Speaker 1: full meltdown this week and a sell off that graphically 295 00:15:44,160 --> 00:15:49,240 Speaker 1: illustrated the risks of the experimental and unregulated digital currencies. True, 296 00:15:51,040 --> 00:15:53,480 Speaker 1: the moment of panic amounted to the worst reset in 297 00:15:53,480 --> 00:15:57,680 Speaker 1: cryptocurrency since bitcoin plummeted eighty twenty eighteen. I got in 298 00:15:57,720 --> 00:15:59,360 Speaker 1: as bitcoin was on its way up, and then it 299 00:15:59,400 --> 00:16:01,040 Speaker 1: started to drip, and I thought I was doing fine, 300 00:16:01,040 --> 00:16:03,440 Speaker 1: and then it dropped well below what I was purchasing 301 00:16:03,480 --> 00:16:05,440 Speaker 1: out of the time. And then I made the mistake 302 00:16:05,960 --> 00:16:08,120 Speaker 1: of selling because my wife told me I had to. 303 00:16:08,880 --> 00:16:10,800 Speaker 1: I blame her. I should not have sold it. She 304 00:16:10,800 --> 00:16:13,720 Speaker 1: shouldn't have sold it. I would have had. I wouldn't 305 00:16:13,720 --> 00:16:15,400 Speaker 1: have been rich or anything, but I would have had 306 00:16:15,760 --> 00:16:18,320 Speaker 1: enough money to be able to buy used car. Okay, 307 00:16:19,080 --> 00:16:22,240 Speaker 1: But I sold it off instead of doing any dollar 308 00:16:22,280 --> 00:16:24,440 Speaker 1: cost averaging or anything else that I know from basic 309 00:16:25,360 --> 00:16:27,400 Speaker 1: freaked out and I went, this is two unproven and 310 00:16:27,480 --> 00:16:31,280 Speaker 1: I got out. So I paid the price for it. 311 00:16:31,840 --> 00:16:33,920 Speaker 1: Critics say the collapse this week was long overdue. Some 312 00:16:34,080 --> 00:16:35,920 Speaker 1: traders compared the alarm and fear to the start of 313 00:16:35,960 --> 00:16:39,120 Speaker 1: the two thousand and eight financial crisis. According to an 314 00:16:39,120 --> 00:16:44,680 Speaker 1: analyst who covers crypto companies in financial technology at some 315 00:16:44,920 --> 00:16:48,440 Speaker 1: fancy company says, this is like the perfect storm during 316 00:16:48,480 --> 00:16:52,360 Speaker 1: the coronavirus pandemic. People flooded into virtual currency. Sixteen percent 317 00:16:52,440 --> 00:16:55,640 Speaker 1: of Americans now owned some up to one up from 318 00:16:55,720 --> 00:16:59,320 Speaker 1: one percent in twenty fifteen. So sixteen percent of Americans. 319 00:16:59,440 --> 00:17:01,880 Speaker 1: So this for those of you that haven't been, I'm 320 00:17:01,880 --> 00:17:04,320 Speaker 1: wasting my time. No, No, it's a sizable number of 321 00:17:04,440 --> 00:17:07,879 Speaker 1: people that have cryptocurrencies. Many are adding them to their 322 00:17:08,280 --> 00:17:11,320 Speaker 1: investment portfolios, and some are even adding cryptocurrencies to their 323 00:17:11,400 --> 00:17:14,560 Speaker 1: retirement accounts. If those retirement accounts offer, that could be 324 00:17:14,600 --> 00:17:16,680 Speaker 1: your four O one K, And if your employer allows 325 00:17:16,760 --> 00:17:19,680 Speaker 1: for investing in cryptocurrencies, you may have some crypto in 326 00:17:19,840 --> 00:17:23,680 Speaker 1: your retirement accounts. The trouble is, in my opinion, witnessing 327 00:17:23,760 --> 00:17:28,080 Speaker 1: this crypto stuff, is that most people who are investing 328 00:17:28,119 --> 00:17:32,400 Speaker 1: in crypto consider themselves to be almost day traders. There 329 00:17:32,560 --> 00:17:38,040 Speaker 1: is a certain excitement. It's like a drug watching that 330 00:17:38,160 --> 00:17:40,240 Speaker 1: go up and down, and if you ever day traded stocks, 331 00:17:41,320 --> 00:17:45,679 Speaker 1: it's the same feeling, only your swings are massive. In cryptocurrencies, 332 00:17:45,720 --> 00:17:48,040 Speaker 1: your ups and downs could be five ten percent a day. 333 00:17:48,040 --> 00:17:49,840 Speaker 1: You don't worry about it because tomorrow will be another 334 00:17:49,920 --> 00:17:52,879 Speaker 1: five ten percent. Another way, so while we see the 335 00:17:52,920 --> 00:17:55,040 Speaker 1: stock market and we go, my god, it's the biggest 336 00:17:55,119 --> 00:17:57,960 Speaker 1: loss since twenty twenty, the down drafted a thousand points, 337 00:17:58,080 --> 00:17:59,680 Speaker 1: we all freak out and go, oh my gosh, this 338 00:17:59,800 --> 00:18:02,040 Speaker 1: is terrible, and we go how much was that it was? 339 00:18:02,280 --> 00:18:07,000 Speaker 1: It was like two percent, okay, it was a little more. 340 00:18:07,000 --> 00:18:11,440 Speaker 1: It's like three percent, okay, but three percent is considered 341 00:18:11,480 --> 00:18:15,040 Speaker 1: a slow day in cryptocurrencies. So you've got a lot 342 00:18:15,080 --> 00:18:18,400 Speaker 1: of inexperienced investors who I think you're being taken advantage 343 00:18:18,400 --> 00:18:21,000 Speaker 1: of by a lot of more experienced investors. In the 344 00:18:21,080 --> 00:18:22,800 Speaker 1: same way that we saw that happened with game Stop 345 00:18:23,080 --> 00:18:26,320 Speaker 1: and the stocks that we're going on a couple of 346 00:18:26,440 --> 00:18:29,400 Speaker 1: years ago, that's what's happening in the cryptocurrency world as well. 347 00:18:30,040 --> 00:18:31,800 Speaker 1: So for those of you that want to get into crypto, 348 00:18:32,880 --> 00:18:35,359 Speaker 1: you better know your stuff, because if you're a nube, 349 00:18:35,680 --> 00:18:37,680 Speaker 1: you're gonna get eaten even if you think it won't 350 00:18:37,680 --> 00:18:41,560 Speaker 1: happen to me, you're gonna get eaten. Meanwhile, State of 351 00:18:41,600 --> 00:18:44,000 Speaker 1: California has more money than they know what to do with. 352 00:18:44,119 --> 00:18:46,440 Speaker 1: I'll tell you about that next. Chris Merrill in for 353 00:18:46,760 --> 00:18:49,160 Speaker 1: John and Kinn. Okay, if I am six forty live 354 00:18:49,200 --> 00:18:51,560 Speaker 1: everywhere in your iHeart radio app, it's Chris Merrill. I 355 00:18:51,640 --> 00:18:53,720 Speaker 1: am in for John and Kinn today. Okay, if I 356 00:18:53,800 --> 00:18:58,000 Speaker 1: am six forty more stimulating talk? And is it good 357 00:18:58,080 --> 00:19:02,040 Speaker 1: news or is it just I don't want to be 358 00:19:02,160 --> 00:19:06,680 Speaker 1: the Debbi downer on this, but how in the heck 359 00:19:06,760 --> 00:19:09,080 Speaker 1: did we end up with a budget surplus of ninety 360 00:19:09,160 --> 00:19:12,560 Speaker 1: seven and a half billion dollars. It seems like somebody 361 00:19:12,640 --> 00:19:16,040 Speaker 1: forgot to carry the one during some of their budget discussions. 362 00:19:16,840 --> 00:19:19,440 Speaker 1: So we have a bunch of extra money, and it 363 00:19:19,680 --> 00:19:22,080 Speaker 1: sounds like that would be super great coup. In a 364 00:19:22,160 --> 00:19:25,120 Speaker 1: NEWSOM just unveiled a revised budget plan of just over 365 00:19:25,240 --> 00:19:28,640 Speaker 1: three hundred billion dollars for the next fiscal year. Wait 366 00:19:28,680 --> 00:19:33,000 Speaker 1: a minute, The next fiscal year's budget plan is three 367 00:19:33,080 --> 00:19:37,359 Speaker 1: hundred billion dollars, and yet somehow this year we have 368 00:19:37,400 --> 00:19:41,159 Speaker 1: an extra ninety seven and a half billion dollars. So 369 00:19:42,600 --> 00:19:48,320 Speaker 1: we misestimated the budget for this year by a third. 370 00:19:50,040 --> 00:19:54,480 Speaker 1: How is that? How's it possible? I mean, I'm glad, 371 00:19:54,720 --> 00:19:57,840 Speaker 1: I'm glad that the miss was to have a surplus 372 00:19:58,760 --> 00:20:01,000 Speaker 1: as opposed to the miss being that we would be 373 00:20:01,119 --> 00:20:06,919 Speaker 1: in debt by that much. But holy cats, even earlier 374 00:20:07,000 --> 00:20:08,600 Speaker 1: this year they were saying it would be like a 375 00:20:08,720 --> 00:20:12,960 Speaker 1: forty to fifty five billion dollars surplus, total amount of 376 00:20:13,119 --> 00:20:16,800 Speaker 1: of being ninety seven and a half billion dollars. All right, 377 00:20:17,000 --> 00:20:19,680 Speaker 1: send him back, I'll expect my check in the mail. 378 00:20:19,920 --> 00:20:22,679 Speaker 1: That is the highest in state history and fueled by 379 00:20:22,760 --> 00:20:26,240 Speaker 1: surging tax revenues, and California is now entering the next 380 00:20:26,280 --> 00:20:29,560 Speaker 1: budget year with a record smashing surplus of ninety seven 381 00:20:29,640 --> 00:20:33,240 Speaker 1: point five billion dollars after the state collective fifty five 382 00:20:33,560 --> 00:20:38,320 Speaker 1: billion more in taxes than officials expected. In January. Newsom 383 00:20:38,400 --> 00:20:41,400 Speaker 1: said one of his top budget priorities is providing people 384 00:20:41,480 --> 00:20:45,080 Speaker 1: relief from inflation. The state legislature has until the end 385 00:20:45,080 --> 00:20:48,840 Speaker 1: of June to finalize the budget, which takes effect July first. Okay, so, 386 00:20:49,080 --> 00:20:54,080 Speaker 1: Governor Batman, because he looks like Bruce Wayne. Yeah, So, 387 00:20:54,240 --> 00:20:58,680 Speaker 1: Governor Batman says that he our big concern here is 388 00:20:58,760 --> 00:21:01,760 Speaker 1: that we have to take care of the inflation. Inflation 389 00:21:01,880 --> 00:21:04,840 Speaker 1: is going wild. We got to take care of inflation. 390 00:21:05,440 --> 00:21:09,159 Speaker 1: I am here to save the day because thank you, 391 00:21:09,640 --> 00:21:16,600 Speaker 1: so end result nothing, there is no end result, he says. 392 00:21:16,640 --> 00:21:20,760 Speaker 1: The top priority is is inflation. Budget priorities is providing 393 00:21:20,800 --> 00:21:25,040 Speaker 1: people relief from inflation. But your priority just a few 394 00:21:25,119 --> 00:21:29,239 Speaker 1: months ago was providing relief from gas prices. And as 395 00:21:29,280 --> 00:21:32,560 Speaker 1: we discussed earlier on the program today gas the average 396 00:21:32,560 --> 00:21:36,320 Speaker 1: price of gasolot right now is five eighty seven a gallon? 397 00:21:40,480 --> 00:21:42,520 Speaker 1: Is that is that? I know that nationwide we set 398 00:21:42,560 --> 00:21:45,920 Speaker 1: a record earlier this week. I think nationwide it was 399 00:21:46,000 --> 00:21:49,400 Speaker 1: something like I don't know for I'd take me a second, 400 00:21:49,400 --> 00:21:53,320 Speaker 1: I can find it, but uh, for eighty seven or 401 00:21:53,359 --> 00:21:56,760 Speaker 1: something like that nationwide. And obviously California is always the 402 00:21:56,800 --> 00:22:00,560 Speaker 1: highest in the country. So yeah, we're gonna pay more 403 00:22:00,600 --> 00:22:04,440 Speaker 1: than that. So the national average price of gas set 404 00:22:04,520 --> 00:22:08,040 Speaker 1: a record this week. Deborah, We've been higher on average, 405 00:22:08,080 --> 00:22:10,720 Speaker 1: haven't we in California than five eighty seven? Or is 406 00:22:10,760 --> 00:22:14,560 Speaker 1: this a record? Yeah? Definitely, yeah, yeah, I was gonna say, 407 00:22:14,560 --> 00:22:16,000 Speaker 1: because I mean it was it was just a couple 408 00:22:16,040 --> 00:22:18,520 Speaker 1: of months ago that we had and if you go 409 00:22:18,720 --> 00:22:21,680 Speaker 1: to Brentwood or wherever. Then you start seeing the you 410 00:22:21,720 --> 00:22:23,720 Speaker 1: know the place it's charging seven bucks a gallon or 411 00:22:23,760 --> 00:22:29,160 Speaker 1: something ridiculous, which nobody's stopping there. How do any car 412 00:22:29,280 --> 00:22:32,160 Speaker 1: stop if you have so much money? This is where 413 00:22:32,200 --> 00:22:33,800 Speaker 1: I which this is where I would pay the seven 414 00:22:33,840 --> 00:22:37,640 Speaker 1: dollars a gallon. First of all, if they're charging seven 415 00:22:37,720 --> 00:22:42,199 Speaker 1: dollars a gallon for regular unleaded, then the premium unletted 416 00:22:42,359 --> 00:22:45,560 Speaker 1: was like almost eight dollars a gallon, right, So if 417 00:22:46,160 --> 00:22:48,800 Speaker 1: if I live in that area, chances are I'm driving 418 00:22:48,880 --> 00:22:53,600 Speaker 1: a vehicle that requires premium fuel, and that means I 419 00:22:53,680 --> 00:22:55,800 Speaker 1: would be paying the eight dollars a gallon now for me, 420 00:22:56,600 --> 00:22:59,840 Speaker 1: if I had the money, which I don't, but this 421 00:23:00,119 --> 00:23:02,560 Speaker 1: is the way I think. If I had that much money, 422 00:23:02,640 --> 00:23:05,119 Speaker 1: I would definitely spend it at that gas station. And 423 00:23:05,200 --> 00:23:07,479 Speaker 1: do you know why? Why is nobody else is going 424 00:23:07,520 --> 00:23:09,560 Speaker 1: to be there? So I got the place. I don't 425 00:23:09,560 --> 00:23:11,119 Speaker 1: have to wait for a pump, I don't have other 426 00:23:11,160 --> 00:23:13,240 Speaker 1: people driving by, the only thing I have to worry 427 00:23:13,240 --> 00:23:15,760 Speaker 1: about is the news vans that are taking pictures of 428 00:23:15,840 --> 00:23:18,800 Speaker 1: the sign, and then some Dufis reporter coming up and going, yeah, 429 00:23:19,359 --> 00:23:22,080 Speaker 1: outside the rent we're a gas station anywhere, I guess, 430 00:23:22,240 --> 00:23:25,040 Speaker 1: is it seven dollars? And yeah? And sir, oh, why 431 00:23:25,080 --> 00:23:26,800 Speaker 1: would you stop here? And I'd say, because I don't 432 00:23:26,840 --> 00:23:29,240 Speaker 1: want to talk to people. That's why I have so 433 00:23:29,440 --> 00:23:32,120 Speaker 1: much money. That you go to bed every night praying 434 00:23:32,160 --> 00:23:36,160 Speaker 1: to be me. And I wanted to be here because 435 00:23:36,160 --> 00:23:38,360 Speaker 1: of the privacy. I figured everybody else would stay away. 436 00:23:38,359 --> 00:23:41,159 Speaker 1: But lo and behold, here you are channel fill in 437 00:23:41,240 --> 00:23:43,840 Speaker 1: the number that would be. That would be my downside. 438 00:23:45,119 --> 00:23:47,440 Speaker 1: But I don't have that money, so instead I'm out 439 00:23:47,440 --> 00:23:54,280 Speaker 1: there clipping coupons. One of these days, One of these days, 440 00:23:54,320 --> 00:23:58,879 Speaker 1: I will one of these days. What is where does 441 00:23:58,920 --> 00:24:02,879 Speaker 1: Bill Handel fill his his gas tank? Oh? He has 442 00:24:02,920 --> 00:24:05,040 Speaker 1: somebody do that for him, though it doesn't he I 443 00:24:05,080 --> 00:24:07,720 Speaker 1: don't know. You know. That's the other one too, in 444 00:24:07,800 --> 00:24:10,639 Speaker 1: all seriousness. That's the other thing is that for a 445 00:24:10,720 --> 00:24:12,560 Speaker 1: lot of these people, they're filling it up with somebody 446 00:24:12,600 --> 00:24:16,399 Speaker 1: else's card, so they don't care. So they're gonna go 447 00:24:16,440 --> 00:24:18,840 Speaker 1: to the gas station that's that's charging the seven bucks 448 00:24:18,880 --> 00:24:20,920 Speaker 1: a gallon or whatever, and they don't care. They're putting 449 00:24:20,920 --> 00:24:23,800 Speaker 1: it on somebody else's card. It's the company card. It's 450 00:24:24,160 --> 00:24:26,959 Speaker 1: uh it's Oh, my daughter so excited. She got her 451 00:24:26,960 --> 00:24:29,200 Speaker 1: foot in the door. She got her foot in the door. 452 00:24:29,720 --> 00:24:34,880 Speaker 1: She is the part time personal assistant to a supporting 453 00:24:34,960 --> 00:24:40,840 Speaker 1: actor in a major television show. Like, but that's awesome, sweetheart. 454 00:24:40,920 --> 00:24:42,560 Speaker 1: She goes, Yeah, I don't know what I'm doing. I 455 00:24:42,680 --> 00:24:46,840 Speaker 1: just do whatever he tells me. All right, well, I 456 00:24:46,880 --> 00:24:50,720 Speaker 1: guess you're you're making your bones good for you. She's 457 00:24:50,720 --> 00:24:53,200 Speaker 1: so excited. She's like, I'm part of the Hollywood scene. Now, 458 00:24:54,280 --> 00:24:59,200 Speaker 1: sure you are part time? Yeah? Oh, now I know 459 00:24:59,359 --> 00:25:01,520 Speaker 1: you're right. DA would be like, are you're wasting your life? 460 00:25:01,600 --> 00:25:03,760 Speaker 1: Otherwise she's still a brista. But that's all right. I'm 461 00:25:03,800 --> 00:25:06,719 Speaker 1: excited for her following your dream. I'm not telling her 462 00:25:06,760 --> 00:25:08,080 Speaker 1: it's time to give up on your dream like my 463 00:25:08,119 --> 00:25:10,200 Speaker 1: father would be doing. He'd be saying. She is a 464 00:25:10,280 --> 00:25:13,520 Speaker 1: lot younger than you, and prettier man, and a lot 465 00:25:13,560 --> 00:25:16,280 Speaker 1: prettier too. You know, she's got she's got a whole 466 00:25:16,359 --> 00:25:18,840 Speaker 1: life ahead of her. She's got that appealing face. Like 467 00:25:19,000 --> 00:25:26,080 Speaker 1: I walk into a place and they're like, I do 468 00:25:26,240 --> 00:25:29,200 Speaker 1: think I could be like that. This is always my dream, Deborah. 469 00:25:29,280 --> 00:25:30,960 Speaker 1: I went to school for theater. I always wanted to be. 470 00:25:31,000 --> 00:25:33,800 Speaker 1: I always wanted to work in Hollywood? You did always? Yeah? 471 00:25:33,840 --> 00:25:36,400 Speaker 1: I did? I did. Um, I always wanted to work 472 00:25:36,400 --> 00:25:38,280 Speaker 1: in Hollywood. I always wanted to be an actor, and 473 00:25:38,520 --> 00:25:40,240 Speaker 1: it's what I went to college for. And then I 474 00:25:40,359 --> 00:25:42,720 Speaker 1: ended up in radio. And uh. And I always thought 475 00:25:42,760 --> 00:25:46,680 Speaker 1: I could be the brute because I've got the faith, 476 00:25:46,720 --> 00:25:48,119 Speaker 1: I've got the I've got the whole look for like 477 00:25:48,240 --> 00:25:51,359 Speaker 1: the brute. Huh. You know, I could be that character actor. 478 00:25:51,640 --> 00:25:53,880 Speaker 1: I don't have to be a leading man. I know. Look, 479 00:25:53,960 --> 00:25:55,639 Speaker 1: I got the chops. I could be the leading man. 480 00:25:55,800 --> 00:25:57,919 Speaker 1: But I've never gonna be the leading man. Let's get serious. 481 00:25:58,080 --> 00:25:59,720 Speaker 1: So what have you done? What have you done to 482 00:26:00,080 --> 00:26:04,359 Speaker 1: and get into acting? I got into radio, okay, but 483 00:26:04,520 --> 00:26:08,040 Speaker 1: it's always been your dream. And since you were complaining that, 484 00:26:08,119 --> 00:26:10,280 Speaker 1: you're my father talking out of it, you're a My 485 00:26:10,320 --> 00:26:12,080 Speaker 1: father talked me out of that dream already, okay, but 486 00:26:12,240 --> 00:26:16,120 Speaker 1: you know what now he's talking me out of this one. Well, yeah, 487 00:26:16,400 --> 00:26:19,160 Speaker 1: if you don't need a job, then right at least 488 00:26:19,160 --> 00:26:21,119 Speaker 1: in radio. I got my SAG card, so I was 489 00:26:21,160 --> 00:26:23,000 Speaker 1: able to flash that to some of the people I 490 00:26:23,080 --> 00:26:25,760 Speaker 1: went to college with, and I said, ha, huh, do 491 00:26:25,840 --> 00:26:28,520 Speaker 1: you have your sag card yet and they go, no, no, 492 00:26:28,680 --> 00:26:31,480 Speaker 1: they don't. So I feel like I'm closer than I've 493 00:26:31,480 --> 00:26:35,200 Speaker 1: ever been right now. I think you need to go 494 00:26:35,320 --> 00:26:38,680 Speaker 1: after your dream. Chris. You can do both. You do 495 00:26:38,840 --> 00:26:42,480 Speaker 1: radio and you can do the acting. Yeah, I should 496 00:26:42,480 --> 00:26:44,120 Speaker 1: do I should do one of those shows where I'm 497 00:26:44,119 --> 00:26:47,359 Speaker 1: the radio guy in a movie that's brilliant. I was 498 00:26:47,480 --> 00:26:51,800 Speaker 1: so jealous of Tim because I watched Liquorice Pizza. Yeah, 499 00:26:51,840 --> 00:26:54,280 Speaker 1: he Claus of Kim. Yeah, Oh my gosh. He was 500 00:26:54,320 --> 00:26:56,720 Speaker 1: so good. He's a big movie star now, he is. 501 00:26:56,800 --> 00:26:59,800 Speaker 1: He's huge. I saw him in that movie too, Liquorice Pizza. 502 00:27:00,000 --> 00:27:05,120 Speaker 1: I was so impressed. I really was. He did fantastic 503 00:27:05,760 --> 00:27:07,399 Speaker 1: because you know what, you know what the hardest thing 504 00:27:07,440 --> 00:27:10,000 Speaker 1: to do is sometimes if you're if you're acting is 505 00:27:10,280 --> 00:27:13,200 Speaker 1: uh is to fill that character and and be in 506 00:27:13,280 --> 00:27:15,960 Speaker 1: a character that is so different from yourself. Now, I 507 00:27:16,000 --> 00:27:18,160 Speaker 1: happen to see some of the Tim Conway where he's 508 00:27:18,280 --> 00:27:20,040 Speaker 1: he was sort of yeah he was an okay guy 509 00:27:20,560 --> 00:27:22,240 Speaker 1: at the beginning and things like that. You know, he was, 510 00:27:22,320 --> 00:27:25,240 Speaker 1: he he was all right, you know. But you meet Tim, 511 00:27:25,320 --> 00:27:28,360 Speaker 1: and Tim's just such a want to shake your hand, 512 00:27:28,480 --> 00:27:29,920 Speaker 1: want to give you all the attention. You feel like 513 00:27:29,960 --> 00:27:32,840 Speaker 1: a thousand bucks when you're around Tim. And he was 514 00:27:32,920 --> 00:27:36,960 Speaker 1: so able to sort of be the character that had 515 00:27:37,040 --> 00:27:41,560 Speaker 1: that sort of uh genesqua, which is what I say 516 00:27:41,600 --> 00:27:45,359 Speaker 1: when I don't know words. He had that uh that 517 00:27:45,600 --> 00:27:48,440 Speaker 1: that comes from the real Tim. But then but he 518 00:27:48,560 --> 00:27:50,120 Speaker 1: was able to kind of kind of bring it down 519 00:27:50,200 --> 00:27:51,800 Speaker 1: from the camera and I was like, wow, he really 520 00:27:51,840 --> 00:27:54,680 Speaker 1: did it, such a fantastic job, so good. I was 521 00:27:54,720 --> 00:27:58,440 Speaker 1: so impressed. I was so impressed. So yeah, well let's see, 522 00:27:58,480 --> 00:28:06,040 Speaker 1: I'm jealous of I'm jealous of Handle's money and Tim's success. Oh, Chris, 523 00:28:06,560 --> 00:28:07,960 Speaker 1: you know we need to get you some help. You 524 00:28:08,040 --> 00:28:11,560 Speaker 1: need an intervention. We need to do something. Ank a 525 00:28:11,600 --> 00:28:13,719 Speaker 1: shrink is what you're saying. Yeah, that's exactly what I need. 526 00:28:14,240 --> 00:28:17,200 Speaker 1: All right. So anyway back to the whole point here. 527 00:28:17,680 --> 00:28:20,080 Speaker 1: Budget surplus, and nobody's doing anything to help us out. 528 00:28:20,200 --> 00:28:22,680 Speaker 1: But we paid one third more in taxes than we 529 00:28:22,760 --> 00:28:24,479 Speaker 1: needed to. So that's what we got going for us. 530 00:28:25,520 --> 00:28:27,600 Speaker 1: I'm going to do something I don't normally do in 531 00:28:27,680 --> 00:28:31,280 Speaker 1: just a few moments because normally when President Trump says 532 00:28:31,280 --> 00:28:33,639 Speaker 1: something goofy, I just shake my head and they go 533 00:28:33,800 --> 00:28:36,800 Speaker 1: what is he thinking? Now, but now it's coming to 534 00:28:36,920 --> 00:28:40,240 Speaker 1: light that he had some really outrageous ideas. I don't 535 00:28:40,280 --> 00:28:43,280 Speaker 1: necessarily hate the concept. I don't think it's practical, but 536 00:28:43,320 --> 00:28:45,200 Speaker 1: I don't hate it. I'm gonna share that with you. Next. 537 00:28:45,280 --> 00:28:47,440 Speaker 1: Chris merrill In for Johnny Kenn. Okay, if I am 538 00:28:47,520 --> 00:28:50,360 Speaker 1: six forty more stimulating talk, Hey there, John and Ken Show, 539 00:28:50,520 --> 00:28:52,440 Speaker 1: It's Chris merrill In for the boys. Okay, if I 540 00:28:52,520 --> 00:28:56,680 Speaker 1: am six forty more stimulating talk. The former president. We're 541 00:28:56,720 --> 00:28:59,120 Speaker 1: finding out about some more things that happened while he 542 00:28:59,200 --> 00:29:01,400 Speaker 1: was in office. And we know that President Trump, love 543 00:29:01,480 --> 00:29:03,360 Speaker 1: them or hate him, you have to agree. The guy 544 00:29:03,440 --> 00:29:06,440 Speaker 1: said some pretty dumb things, right, And when he was 545 00:29:07,880 --> 00:29:14,280 Speaker 1: getting light inside the body and yeah, explore that the 546 00:29:14,360 --> 00:29:17,239 Speaker 1: antiseptics or bleach or whatever, and just you kind of went, 547 00:29:17,320 --> 00:29:20,760 Speaker 1: what what are you talking what? And then when he 548 00:29:20,880 --> 00:29:23,240 Speaker 1: was using the sharpie to draw the potential route of 549 00:29:23,320 --> 00:29:27,120 Speaker 1: the hurricane, what what are you doing? And then he 550 00:29:27,200 --> 00:29:30,080 Speaker 1: talked about dropping a nuclear bomb inside a hurricane, and 551 00:29:30,240 --> 00:29:34,760 Speaker 1: we also, what what are you talking about? So along 552 00:29:34,800 --> 00:29:37,640 Speaker 1: the line of the hurricane conversation with the President Trump, 553 00:29:38,840 --> 00:29:44,360 Speaker 1: Rolling Stone's reporting that two unnamed former senior administration officials, 554 00:29:44,440 --> 00:29:48,400 Speaker 1: and a third person briefed on the matter told Rolling 555 00:29:48,440 --> 00:29:51,120 Speaker 1: Stone that Trump bought excuse me, brought up a supposed 556 00:29:51,280 --> 00:29:55,160 Speaker 1: secret technology that would allow China to create sizable hurricanes 557 00:29:55,240 --> 00:29:59,160 Speaker 1: on command and launch them at the United States. So 558 00:29:59,280 --> 00:30:03,280 Speaker 1: he's very con cerned with weaponized man made hurricanes from China. 559 00:30:06,600 --> 00:30:08,720 Speaker 1: A former president asked about it repeatedly during his first 560 00:30:08,760 --> 00:30:11,000 Speaker 1: year in office. According to the report, a question came 561 00:30:11,080 --> 00:30:13,880 Speaker 1: up sporadically until at least twenty eighteen before Trump stopped 562 00:30:13,920 --> 00:30:17,840 Speaker 1: inquiring about what some began calling hurricane guns. Or they 563 00:30:17,880 --> 00:30:22,040 Speaker 1: were just joking about it, saying excuse me, The former 564 00:30:22,040 --> 00:30:24,320 Speaker 1: Trump official said, it was almost too stupid for words. 565 00:30:24,880 --> 00:30:29,360 Speaker 1: Intimately familiar with the then sitting president's inquiry, I did 566 00:30:29,480 --> 00:30:31,760 Speaker 1: not get the sense that he was joking at all. 567 00:30:32,400 --> 00:30:34,760 Speaker 1: The former senior adviser who claimed to be president when 568 00:30:34,760 --> 00:30:38,000 Speaker 1: the president asked about the hurricane guns, said Trump wanted 569 00:30:38,000 --> 00:30:42,040 Speaker 1: to know if the technology existed. One guy in the 570 00:30:42,120 --> 00:30:44,040 Speaker 1: room responded not to the best of my knowledge, sir, 571 00:30:44,360 --> 00:30:46,560 Speaker 1: I kept it together until I got back to my office. 572 00:30:46,640 --> 00:30:50,080 Speaker 1: Official said, I do not know whether the then president 573 00:30:50,120 --> 00:30:52,200 Speaker 1: would have heard about that, or where the president would 574 00:30:52,200 --> 00:30:54,720 Speaker 1: have heard about that. He was asking about it around 575 00:30:54,760 --> 00:30:56,640 Speaker 1: the time, maybe a little before he asked about people 576 00:30:56,760 --> 00:31:03,520 Speaker 1: nuking hurricanes. Okay, let me just throw this out here. 577 00:31:04,880 --> 00:31:13,000 Speaker 1: While I think he's nuts, it's not the first time 578 00:31:13,160 --> 00:31:17,360 Speaker 1: that we've had government officials that have inquired about using 579 00:31:17,480 --> 00:31:23,160 Speaker 1: weather as a weapon. It's not too outrageous for the 580 00:31:23,280 --> 00:31:26,880 Speaker 1: president to wonder if there are advanced technologies, and he's 581 00:31:26,920 --> 00:31:30,400 Speaker 1: thinking outside the box, are there advanced technologies that other 582 00:31:30,440 --> 00:31:32,160 Speaker 1: countries may have created? In this case, he seemed to 583 00:31:32,200 --> 00:31:35,120 Speaker 1: be particularly worried about China. China. I don't know why, 584 00:31:36,320 --> 00:31:39,240 Speaker 1: but if China didn't have the technology, maybe he was 585 00:31:39,280 --> 00:31:42,640 Speaker 1: wondering if that's something that we could do. No, it's not, 586 00:31:43,520 --> 00:31:47,480 Speaker 1: but I just want to listen. I don't hate this line. 587 00:31:48,080 --> 00:31:52,440 Speaker 1: It seems absurd, but how many times have war has 588 00:31:52,480 --> 00:31:54,720 Speaker 1: been won or loss based on changes in the weather. 589 00:31:55,720 --> 00:31:58,520 Speaker 1: I mean, the Weather Channel loves to run stories about 590 00:31:58,520 --> 00:32:00,200 Speaker 1: how World War two would have been different had it 591 00:32:00,280 --> 00:32:05,920 Speaker 1: not been for this. We have other other storms where 592 00:32:06,280 --> 00:32:12,720 Speaker 1: or other weather conditions that could have altered the fate 593 00:32:12,760 --> 00:32:17,000 Speaker 1: of history, including Washington crossing the Delaware. The British didn't 594 00:32:17,000 --> 00:32:18,880 Speaker 1: think he could do that, He would do that it's 595 00:32:18,920 --> 00:32:22,640 Speaker 1: too cold. He's not gonna do this. There's no way 596 00:32:23,480 --> 00:32:27,160 Speaker 1: he does. He wins. Right. Weather plays a part in battle, 597 00:32:27,200 --> 00:32:31,560 Speaker 1: so it's not too absurd for President to say, what's 598 00:32:31,560 --> 00:32:33,440 Speaker 1: going on with the weather. Is there any way for 599 00:32:33,600 --> 00:32:37,440 Speaker 1: us to turn this condition into something to our advantage? 600 00:32:38,240 --> 00:32:41,680 Speaker 1: I don't hate it, except that with him, I kind 601 00:32:41,680 --> 00:32:45,360 Speaker 1: of wondered, did the question sort of get ramped up 602 00:32:45,400 --> 00:32:49,120 Speaker 1: when he found out that hurricanes couldn't be bombed out 603 00:32:49,160 --> 00:32:54,960 Speaker 1: of existence? In other words, if it was in his 604 00:32:55,160 --> 00:33:01,360 Speaker 1: mind President Trump thinking, oh my gosh, Jana has hurricane 605 00:33:01,400 --> 00:33:04,280 Speaker 1: guns where they can just spin up a hurricane and 606 00:33:04,360 --> 00:33:07,200 Speaker 1: throw it at us and we can't do anything about it. 607 00:33:07,320 --> 00:33:09,200 Speaker 1: Because maybe he was thinking, well, we can always defend 608 00:33:09,200 --> 00:33:11,840 Speaker 1: ourselves using nuclear bombs. But now he's thinking, oh no, 609 00:33:12,040 --> 00:33:15,840 Speaker 1: we can't even stop the hurricane using nuclear weapons. So 610 00:33:16,160 --> 00:33:18,640 Speaker 1: now we're just sitting ducks. And he gets out of 611 00:33:18,680 --> 00:33:21,360 Speaker 1: sharp and he draws, these are the areas where Jaina 612 00:33:21,440 --> 00:33:24,520 Speaker 1: could attack. It's hard to say what exactly goes on 613 00:33:25,040 --> 00:33:27,960 Speaker 1: in that mind, but I have to defend the guy, 614 00:33:28,200 --> 00:33:29,800 Speaker 1: and I don't do this very often. To be honest, 615 00:33:29,840 --> 00:33:32,520 Speaker 1: I really did not care for him as president, but 616 00:33:32,600 --> 00:33:36,560 Speaker 1: I got to defend the guy and say that exploring 617 00:33:36,800 --> 00:33:41,000 Speaker 1: different tactical advantages or having a concern over a potential 618 00:33:41,080 --> 00:33:46,200 Speaker 1: tactical weakness does not make a bad leader. There are 619 00:33:46,280 --> 00:33:47,880 Speaker 1: plenty of other things if you want to be critical 620 00:33:47,920 --> 00:33:50,000 Speaker 1: of Trump. There are plenty of other things to be 621 00:33:50,080 --> 00:33:54,360 Speaker 1: critical about. Absolutely no problem. I think you just don't 622 00:33:54,360 --> 00:33:56,720 Speaker 1: think this is one of them. I'm kind of fascinated 623 00:33:56,760 --> 00:33:58,680 Speaker 1: actually by the idea of us being able to control 624 00:33:58,720 --> 00:34:01,120 Speaker 1: the weather. And let me point this out too. I 625 00:34:01,280 --> 00:34:03,280 Speaker 1: think that at some point we will be able to 626 00:34:03,400 --> 00:34:07,160 Speaker 1: better control the weather. I don't know what that point, 627 00:34:07,200 --> 00:34:09,480 Speaker 1: when that point is going to be. We've been working 628 00:34:09,560 --> 00:34:14,279 Speaker 1: on different means of cloud seating and control measures, all 629 00:34:14,320 --> 00:34:17,600 Speaker 1: these different things. There are scientists right now working on 630 00:34:17,719 --> 00:34:20,839 Speaker 1: ways to control the weather simply in response to climate change. 631 00:34:21,719 --> 00:34:25,520 Speaker 1: So it's not crazy for the president to say, is 632 00:34:25,600 --> 00:34:29,000 Speaker 1: it something that we could control? Is there somebody else 633 00:34:29,080 --> 00:34:34,719 Speaker 1: working on this, like Jina? Because if Jina has the technology, 634 00:34:34,880 --> 00:34:38,719 Speaker 1: is this something that could pose a potential threat to us? No, 635 00:34:39,640 --> 00:34:41,359 Speaker 1: maybe he should have just accepted that the first time 636 00:34:41,400 --> 00:34:45,160 Speaker 1: somebody said no, you can argue about that. I don't 637 00:34:45,239 --> 00:34:47,920 Speaker 1: hate it, though, I just don't hate it. Speaking of 638 00:34:48,000 --> 00:34:49,799 Speaker 1: controlling the weather. Wouldn't it be nice if we could? 639 00:34:50,920 --> 00:34:54,320 Speaker 1: Wouldn't that be fantastic? Wouldn't it be glorious if we 640 00:34:54,400 --> 00:35:00,040 Speaker 1: could say drought not in my California? Sadly we've you 641 00:35:00,040 --> 00:35:03,799 Speaker 1: have to get to that point, which means drought is coming, 642 00:35:03,960 --> 00:35:07,760 Speaker 1: Drought is here, drought is going to get worse. More flyers, 643 00:35:09,360 --> 00:35:15,720 Speaker 1: more conditions. Are we ready based on the latest? Nope, 644 00:35:15,920 --> 00:35:18,719 Speaker 1: not even close. That's next, Chris Merrill in four, John 645 00:35:18,840 --> 00:35:21,440 Speaker 1: Ken k if I am six forty more stimulating talking 646 00:35:21,520 --> 00:35:24,279 Speaker 1: everywhere on your iHeart radio app. Hey Ken, did you 647 00:35:24,360 --> 00:35:26,520 Speaker 1: know that gold is the only currency that's held its 648 00:35:26,600 --> 00:35:29,759 Speaker 1: value since the dawn of money? Well? I did thanks 649 00:35:29,840 --> 00:35:33,160 Speaker 1: to our friends at Legacy Precious Metals, the most trusted 650 00:35:33,320 --> 00:35:37,160 Speaker 1: name in gold investing. 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