1 00:00:02,240 --> 00:00:05,720 Speaker 1: If you thought four hours a day, minutes a week 2 00:00:05,840 --> 00:00:09,360 Speaker 1: was enough, think again. He's the last remnants of the 3 00:00:09,360 --> 00:00:13,560 Speaker 1: old republic, a sole fashion of fairness. He treats crackheads 4 00:00:13,560 --> 00:00:16,079 Speaker 1: in the ghetto gutter the same as the rich pill 5 00:00:16,120 --> 00:00:20,600 Speaker 1: poppers in the penthouse. The Clearinghouse of Hot takes break 6 00:00:20,640 --> 00:00:24,440 Speaker 1: free for something special. The Fifth Hour with Ben Maller 7 00:00:24,600 --> 00:00:29,200 Speaker 1: starts right now that it does, and welcome in. We 8 00:00:29,280 --> 00:00:35,000 Speaker 1: are in the air everywhere the vast power of I 9 00:00:35,400 --> 00:00:39,559 Speaker 1: Heart Podcasting and the I heart podcast Network, the global 10 00:00:39,600 --> 00:00:42,320 Speaker 1: reach you obviously found the podcast were available wherever you 11 00:00:42,360 --> 00:00:45,760 Speaker 1: get podcast. Don't forget if you haven't subscribed yet, click 12 00:00:45,880 --> 00:00:49,800 Speaker 1: that little subscribe button up there on your your device, 13 00:00:50,000 --> 00:00:52,760 Speaker 1: because that does help us out. So click the subscribe 14 00:00:52,800 --> 00:00:56,720 Speaker 1: button and give us a review and let us know 15 00:00:56,760 --> 00:00:59,080 Speaker 1: what you think, the good, the bad, and the ugly. 16 00:00:59,560 --> 00:01:03,680 Speaker 1: The more stars, the merrier I did see. We got 17 00:01:03,720 --> 00:01:07,880 Speaker 1: a few more reviews, a few more that came in, 18 00:01:08,000 --> 00:01:10,040 Speaker 1: which is which is good. We we brought this up 19 00:01:10,120 --> 00:01:14,720 Speaker 1: last week again, joined by for better or Worse, the 20 00:01:14,760 --> 00:01:16,800 Speaker 1: man known as Gagon in the hallways. He does not 21 00:01:16,840 --> 00:01:19,039 Speaker 1: know how to park, but he apparently knows how to talk. 22 00:01:19,160 --> 00:01:22,640 Speaker 1: David Gascon is right there very so often. Yes, Now 23 00:01:22,720 --> 00:01:25,920 Speaker 1: the reviews are in, the talies are up. So we 24 00:01:25,959 --> 00:01:31,160 Speaker 1: had a over under of seven on on critical feedback 25 00:01:31,240 --> 00:01:33,680 Speaker 1: onto Apple iTunes. So what the tally? Right now? What 26 00:01:33,720 --> 00:01:35,679 Speaker 1: do we got? What's the what were we at well 27 00:01:35,760 --> 00:01:39,080 Speaker 1: last week where we had two reviews or two two 28 00:01:40,800 --> 00:01:44,080 Speaker 1: two oh two? Yeah, hold on, let me check. Oh, 29 00:01:44,160 --> 00:01:47,680 Speaker 1: I think we're all. I think we pushed. It looks 30 00:01:47,680 --> 00:01:53,160 Speaker 1: like we got seven. Uh, we only got seven. That's good. Yeah, 31 00:01:53,320 --> 00:01:56,760 Speaker 1: right on the money. Let's see what some of the 32 00:01:56,760 --> 00:02:01,160 Speaker 1: newest ones are and we'll read these stubble Smeg, I 33 00:02:01,240 --> 00:02:03,760 Speaker 1: don't think that's the real name. I love Big Ben, 34 00:02:03,920 --> 00:02:06,440 Speaker 1: makes me laugh, makes me think, makes me relax and 35 00:02:06,480 --> 00:02:09,280 Speaker 1: have a little fun. I'm in Flyover Country and not 36 00:02:09,480 --> 00:02:13,160 Speaker 1: into local soil Cow sports scene. But as humor resonates 37 00:02:13,160 --> 00:02:15,560 Speaker 1: with me, do we do a local southern California sports show? 38 00:02:15,560 --> 00:02:19,679 Speaker 1: Guest conner, I thought this is a national a well 39 00:02:20,280 --> 00:02:22,640 Speaker 1: to be fair, unless like the Dodgers are collapsing in 40 00:02:22,680 --> 00:02:24,920 Speaker 1: the game sevenal World Series, or like the Clippers are 41 00:02:24,919 --> 00:02:26,920 Speaker 1: in the play. Yeah, but I like, I don't like 42 00:02:27,240 --> 00:02:30,080 Speaker 1: obsessed with that stuff. I mean, I try not to. 43 00:02:30,200 --> 00:02:32,040 Speaker 1: Maybe I remember I do too much. Let me know. 44 00:02:32,160 --> 00:02:33,799 Speaker 1: I mean I I talked about a lot of ship. 45 00:02:33,960 --> 00:02:37,080 Speaker 1: I don't really particularly have a passionate. Well it's not 46 00:02:37,160 --> 00:02:38,720 Speaker 1: I don't have a passion about it, but it's not. 47 00:02:39,760 --> 00:02:42,519 Speaker 1: It's not the very top of my my watch list, 48 00:02:42,560 --> 00:02:44,200 Speaker 1: you know what I'm saying. Yeah. And the other thing, too, 49 00:02:44,280 --> 00:02:46,080 Speaker 1: is like some of the elements that we have talked about, 50 00:02:46,120 --> 00:02:48,119 Speaker 1: or at least you have on your show, like they're 51 00:02:48,120 --> 00:02:50,919 Speaker 1: pretty fucking polarizing, like the Dodgers losing back to back 52 00:02:50,960 --> 00:02:54,800 Speaker 1: world series with the Houston Nastros coming into play, um, 53 00:02:54,840 --> 00:02:57,920 Speaker 1: the Rams collapsing in the Super Bowl and then just 54 00:02:58,040 --> 00:03:00,080 Speaker 1: throwing up a goose egg the following season and not 55 00:03:00,240 --> 00:03:03,200 Speaker 1: using Todd like those are things load management with Kwaide 56 00:03:03,280 --> 00:03:04,960 Speaker 1: Leonard like those are things that really jumped out on 57 00:03:04,960 --> 00:03:10,080 Speaker 1: a national platform. Yeah, yeah, yeah, yeah, absolutely more reviews. 58 00:03:10,120 --> 00:03:12,520 Speaker 1: Danny in the o C he listened to the podcast 59 00:03:12,560 --> 00:03:14,440 Speaker 1: with Hacks. I say his memories of Hacks are good 60 00:03:14,440 --> 00:03:16,640 Speaker 1: to hear Hacks on with the Nocturnal Colonel. Thank you 61 00:03:16,680 --> 00:03:21,079 Speaker 1: for that. Uh, let's see her Continental and Escalades. I'm 62 00:03:21,080 --> 00:03:23,200 Speaker 1: sure that's his real name. Also right, and says Ben 63 00:03:23,240 --> 00:03:26,680 Speaker 1: Mallor the only podcast that made me download the I 64 00:03:26,880 --> 00:03:30,160 Speaker 1: Heart Radio app and listen to all my podcasts and 65 00:03:30,240 --> 00:03:33,000 Speaker 1: I heart radio. Do you hear that? I heart Radio 66 00:03:33,120 --> 00:03:39,800 Speaker 1: management I have we have the great Continentals and Escalades, 67 00:03:40,560 --> 00:03:45,040 Speaker 1: super fan of the show. There you go. All right, 68 00:03:45,040 --> 00:03:47,840 Speaker 1: those are some of them. This yeah, I think we's 69 00:03:47,840 --> 00:03:50,120 Speaker 1: said we were two oh two. You said we're two 70 00:03:50,160 --> 00:03:53,360 Speaker 1: oh nine. So if we get seven a week and 71 00:03:53,400 --> 00:03:57,280 Speaker 1: we beg every week for customer reviews, we will eventually 72 00:03:57,360 --> 00:04:00,720 Speaker 1: get to like a thousand by the time we're eighty, right. 73 00:04:02,640 --> 00:04:08,120 Speaker 1: Does that Does that mean we can monetize after that? Yeah? Yeah, yeah, exactly, 74 00:04:08,280 --> 00:04:09,960 Speaker 1: keep it, keep you on. This is how funked up 75 00:04:10,000 --> 00:04:12,280 Speaker 1: the podcast world is, Like, I'll let you in behind 76 00:04:12,320 --> 00:04:14,280 Speaker 1: the curtain a little bit, Like that's one of the 77 00:04:14,360 --> 00:04:17,880 Speaker 1: things they look at. They look at customer reviews. It's 78 00:04:17,920 --> 00:04:20,240 Speaker 1: like one of the criteria on how to make money. 79 00:04:20,600 --> 00:04:22,039 Speaker 1: We're not making any money on this, but how to 80 00:04:22,080 --> 00:04:24,200 Speaker 1: make money on a podcast. The people that I heart 81 00:04:24,240 --> 00:04:26,640 Speaker 1: are like, well, what are the views and what do 82 00:04:26,760 --> 00:04:29,479 Speaker 1: people saying and uh and those kind of things. So 83 00:04:30,360 --> 00:04:33,000 Speaker 1: it's it's it's interesting, I said, I interested in how 84 00:04:33,040 --> 00:04:34,800 Speaker 1: they you know, they make the hot dogs and all that. 85 00:04:34,839 --> 00:04:37,719 Speaker 1: It's it's an interesting thing. So coming up on today's podcast, 86 00:04:37,720 --> 00:04:41,240 Speaker 1: we have study and survey this tribute to Penn and 87 00:04:41,279 --> 00:04:45,760 Speaker 1: Teller real bullshit. We've got pop quiz and I think 88 00:04:45,800 --> 00:04:47,440 Speaker 1: that's it. I think we have enough with that for 89 00:04:47,440 --> 00:04:49,719 Speaker 1: this podcast. I think that will provide us enough compelling 90 00:04:49,760 --> 00:04:53,560 Speaker 1: content for this podcast. Is that correct? I think we're right? Yeah, alright, 91 00:04:53,600 --> 00:04:55,480 Speaker 1: So it's a it's a Saturday, here we go. Let's 92 00:04:55,520 --> 00:04:58,919 Speaker 1: get to study this. These your actual studies by actual 93 00:04:59,120 --> 00:05:05,440 Speaker 1: universities and people in the scientifical world, these typical world. 94 00:05:05,560 --> 00:05:07,280 Speaker 1: All right, so let's see what do we have here. 95 00:05:07,279 --> 00:05:10,080 Speaker 1: We'll start out with this word a new discovery, new 96 00:05:10,120 --> 00:05:16,840 Speaker 1: discovery gascon This is very exciting of the skinny gene. 97 00:05:16,520 --> 00:05:20,560 Speaker 1: That what the hell skinny? Uh? The so called skinny 98 00:05:20,640 --> 00:05:25,400 Speaker 1: gene researchers have an answers do I So many people 99 00:05:25,520 --> 00:05:28,200 Speaker 1: con seemingly eat whatever the funk they want at the 100 00:05:28,200 --> 00:05:32,080 Speaker 1: buffet and not they don't get any weight. They don't 101 00:05:32,120 --> 00:05:35,760 Speaker 1: get any weight. Um, go out, eat ice cream at 102 00:05:35,760 --> 00:05:38,000 Speaker 1: two in the morning, eat a pound of candy bars, 103 00:05:38,040 --> 00:05:40,560 Speaker 1: a whole box of Hershey bars. You're you're not getting 104 00:05:40,600 --> 00:05:47,280 Speaker 1: any weight. Well, they figured out why scientists scientists from Austria, 105 00:05:47,440 --> 00:05:52,000 Speaker 1: Canada and Estonia, all working together, say that lower or 106 00:05:52,120 --> 00:05:58,960 Speaker 1: deficient levels of the gene an a plastic limbhoma Canassi. 107 00:06:00,800 --> 00:06:02,400 Speaker 1: I like how I said that with a question mark 108 00:06:02,640 --> 00:06:07,719 Speaker 1: a LK are significantly linked to skinniness and bodily resistance 109 00:06:07,760 --> 00:06:12,040 Speaker 1: to weight gain. Most research projects focusing on weight loss 110 00:06:12,080 --> 00:06:16,040 Speaker 1: and gain. Search of genes has caused that they try 111 00:06:16,080 --> 00:06:18,800 Speaker 1: to figure out what causes the bacity. The study is 112 00:06:18,920 --> 00:06:22,039 Speaker 1: novel though, due the fact that it focuses specifically on 113 00:06:22,080 --> 00:06:25,800 Speaker 1: a gene that is related to thinness. Now you talk 114 00:06:25,880 --> 00:06:31,880 Speaker 1: about genetic modification of you know, designer babies, would you 115 00:06:31,960 --> 00:06:34,440 Speaker 1: put that in like would you want to have I 116 00:06:34,440 --> 00:06:37,919 Speaker 1: would love to have had that life and have a 117 00:06:37,960 --> 00:06:41,080 Speaker 1: big hearty appetite and not gain any weight and not 118 00:06:41,279 --> 00:06:44,280 Speaker 1: have to worry about that. Part of me says yes, 119 00:06:44,760 --> 00:06:47,600 Speaker 1: but the other part says no, because like what if 120 00:06:47,760 --> 00:06:50,680 Speaker 1: what if you have a young boy and you want 121 00:06:50,800 --> 00:06:53,600 Speaker 1: him to grow up and be like a football player. 122 00:06:54,320 --> 00:06:56,400 Speaker 1: You know you're a big guy, so what why don't 123 00:06:56,400 --> 00:06:58,160 Speaker 1: you want to have Why don't you want him to 124 00:06:58,200 --> 00:07:01,679 Speaker 1: have your genes and possibly be like a left tackle 125 00:07:02,600 --> 00:07:06,000 Speaker 1: or a right tackle and b six ft four, and 126 00:07:06,080 --> 00:07:08,040 Speaker 1: I don't like the old kids. As long as they're healthy. 127 00:07:08,600 --> 00:07:10,520 Speaker 1: You know, you want him healthy and able to live, 128 00:07:10,560 --> 00:07:12,560 Speaker 1: to live a good life, right. Like, I got a 129 00:07:12,560 --> 00:07:14,800 Speaker 1: buddy of mine who's like, I'm sure my kid if 130 00:07:14,800 --> 00:07:16,200 Speaker 1: I you know, if I had a kid, it would 131 00:07:16,200 --> 00:07:22,680 Speaker 1: not be an athletic chip. I got a buddy of 132 00:07:22,680 --> 00:07:25,320 Speaker 1: mine who who I grew up with. He's six ft 133 00:07:25,400 --> 00:07:29,160 Speaker 1: six and he he always said from the day that 134 00:07:29,200 --> 00:07:31,120 Speaker 1: we met, he's looking for D one. And I'm like, 135 00:07:31,160 --> 00:07:33,800 Speaker 1: what the funk is D one? He says, I'm looking 136 00:07:33,800 --> 00:07:35,800 Speaker 1: for a D one. I'm like, what is a D one? 137 00:07:35,840 --> 00:07:38,240 Speaker 1: He's like, I need to find a woman who's like that. 138 00:07:38,320 --> 00:07:40,280 Speaker 1: Like that's like the var Ball did that, didn't leave 139 00:07:40,480 --> 00:07:42,400 Speaker 1: Ball do that? Yeah, Like he was looking for a 140 00:07:42,440 --> 00:07:46,280 Speaker 1: woman that had like great genetics, good height, good skin, 141 00:07:46,400 --> 00:07:48,560 Speaker 1: like whatever it may be, it didn't matter if she 142 00:07:48,720 --> 00:07:50,240 Speaker 1: was like nice, just as long as she had the 143 00:07:50,240 --> 00:07:52,800 Speaker 1: other elements, so he could possibly have a kid that 144 00:07:52,840 --> 00:07:55,800 Speaker 1: would be a D one athlete. One day and sure ship, 145 00:07:55,920 --> 00:07:58,600 Speaker 1: that motherfucker had two kids. One of them came out 146 00:07:58,600 --> 00:08:01,720 Speaker 1: a monster. It was like ten ounds three ounces, and 147 00:08:01,800 --> 00:08:03,800 Speaker 1: that thee was just underneath that but these kids who 148 00:08:03,800 --> 00:08:08,200 Speaker 1: are like huge, like baby man child's and they're well 149 00:08:08,240 --> 00:08:10,120 Speaker 1: on their way. They're gonna be just like his dad. 150 00:08:10,320 --> 00:08:12,560 Speaker 1: So if I had a kid, I could see my 151 00:08:12,680 --> 00:08:15,920 Speaker 1: kid growing up to be like a Paul mckennski type 152 00:08:15,920 --> 00:08:19,200 Speaker 1: center in the NBA old school. NBA said, look him up. Yeah, 153 00:08:19,640 --> 00:08:22,640 Speaker 1: better that or Bryan Reeves Big Country, Big Country. H 154 00:08:22,920 --> 00:08:26,400 Speaker 1: Mckski actually had a career with Big Country ex flamed out. No, No, 155 00:08:26,800 --> 00:08:31,560 Speaker 1: Big Country, Big Country was Bakensky was ugly looking, pasty 156 00:08:31,600 --> 00:08:35,240 Speaker 1: white guy with bad hair who I remember watching. I 157 00:08:35,280 --> 00:08:37,720 Speaker 1: went to a Bucks game against the Clippers and mckski 158 00:08:37,800 --> 00:08:39,200 Speaker 1: was playing for the Bucks and I was like, what 159 00:08:39,240 --> 00:08:44,079 Speaker 1: the fund is that guy's an NBA player. Jesus christ Um. Anyway, 160 00:08:44,280 --> 00:08:46,559 Speaker 1: uh so this is some people are saying this is 161 00:08:46,640 --> 00:08:50,240 Speaker 1: junk science, this report about the skinny jean, But it 162 00:08:50,520 --> 00:08:55,840 Speaker 1: compared forty seven thousand people, and uh it's it's that 163 00:08:55,880 --> 00:08:58,400 Speaker 1: does not seem like a statistical fluke. That is a 164 00:08:58,520 --> 00:09:04,320 Speaker 1: large sample size. Yeah so anyway, that's who knows what. 165 00:09:05,080 --> 00:09:07,120 Speaker 1: All the fat people have the same thought. Boy, I'd 166 00:09:07,120 --> 00:09:09,720 Speaker 1: love to have that life. See I'm I'm I'm a 167 00:09:09,720 --> 00:09:12,080 Speaker 1: bigger guyle is like actually thinking you were saying skinny 168 00:09:12,160 --> 00:09:16,600 Speaker 1: jeans like material like the people were like, yeah, fat 169 00:09:16,600 --> 00:09:19,040 Speaker 1: people should not wear skinny jeans. I don't thin skinny 170 00:09:19,040 --> 00:09:21,080 Speaker 1: people should wear skinny jeans. But that's just how I 171 00:09:21,840 --> 00:09:24,120 Speaker 1: that's how I operate my life. Yes, I'm fully to 172 00:09:24,120 --> 00:09:27,960 Speaker 1: agree with Yes, alright, moving on on study this, how 173 00:09:28,000 --> 00:09:31,440 Speaker 1: did law become part of human civilization? There's a new 174 00:09:31,440 --> 00:09:36,040 Speaker 1: study out that shows about that. Uh talks about that, 175 00:09:36,840 --> 00:09:42,280 Speaker 1: and the researchers have posted online that they go back 176 00:09:42,320 --> 00:09:46,360 Speaker 1: to ancient societies and they believe a study of research 177 00:09:46,440 --> 00:09:48,600 Speaker 1: at the University of Central Florida and University of Montreal 178 00:09:48,679 --> 00:09:53,440 Speaker 1: found that several ancient societies had remarkably similar legal codes 179 00:09:53,559 --> 00:09:57,920 Speaker 1: despite being thousands of miles and years apart, indicating they 180 00:09:57,960 --> 00:10:03,160 Speaker 1: believe that law and order made be an instinct of sorts, 181 00:10:03,200 --> 00:10:06,400 Speaker 1: of all sorts of human beings. Well, you wouldn't know 182 00:10:06,440 --> 00:10:10,880 Speaker 1: it this week, guess. But Uh, that is interesting that 183 00:10:11,640 --> 00:10:15,200 Speaker 1: back before global travel and and plus there's is different 184 00:10:15,240 --> 00:10:20,880 Speaker 1: time periods and whatnot. Um, that is it's a fascinating dynamic. Now, 185 00:10:20,960 --> 00:10:23,160 Speaker 1: is it possible? I guess it's not really possibly. They 186 00:10:23,160 --> 00:10:25,880 Speaker 1: looked at let's see, they looked at laws that are 187 00:10:25,920 --> 00:10:28,520 Speaker 1: over three thousand, eight hundred years old and laws that 188 00:10:28,559 --> 00:10:32,760 Speaker 1: are fourteen hundred years old Chinese laws, and then they 189 00:10:32,760 --> 00:10:38,320 Speaker 1: looked at the criminal Code of Pennsylvania and they were similar. 190 00:10:38,760 --> 00:10:42,720 Speaker 1: So I wonder if we could bring anything back from 191 00:10:42,720 --> 00:10:44,560 Speaker 1: back in the day, Like I wouldn't want to recommend 192 00:10:44,559 --> 00:10:49,560 Speaker 1: public stoning, but uh, I would love to what would 193 00:10:49,559 --> 00:10:51,920 Speaker 1: you like guess and what kind of corporal punishment would 194 00:10:51,920 --> 00:10:54,240 Speaker 1: you like to know? To open up Quantanamo Bay again? 195 00:10:54,320 --> 00:10:56,600 Speaker 1: That was a few years Nothing wrong with that, um, 196 00:10:56,679 --> 00:10:59,880 Speaker 1: but you know, we we publicly shame people on Twitter 197 00:10:59,880 --> 00:11:02,840 Speaker 1: and nowadays, what's wrong with having these people shamed up 198 00:11:02,840 --> 00:11:05,440 Speaker 1: and down the street. Be sure to catch live editions 199 00:11:05,440 --> 00:11:08,079 Speaker 1: of The Ben Maller Show weekdays at two am Eastern 200 00:11:08,120 --> 00:11:11,720 Speaker 1: eleven pm Pacific on Fox Sports Radio and the I 201 00:11:11,840 --> 00:11:16,240 Speaker 1: Heart Radio app. Well, it's the mob, the angry mob. 202 00:11:16,320 --> 00:11:17,800 Speaker 1: You see the way this works. And I don't know 203 00:11:17,800 --> 00:11:19,839 Speaker 1: who has the bugle, but somebody has the bugle and 204 00:11:19,880 --> 00:11:22,840 Speaker 1: they blow into the bugle and the cavalry comes into attack, 205 00:11:23,559 --> 00:11:27,280 Speaker 1: and that's very effective. The attack poodles. The poodles come 206 00:11:27,320 --> 00:11:30,040 Speaker 1: in and start attacking you bots bringing the box. Well, 207 00:11:30,160 --> 00:11:32,480 Speaker 1: typically when you have those accounts set up. There's always 208 00:11:32,480 --> 00:11:35,400 Speaker 1: the notifications that set off somebody right away so that 209 00:11:35,480 --> 00:11:38,360 Speaker 1: they immediately respond, like in the in the blink of 210 00:11:38,400 --> 00:11:39,880 Speaker 1: an eye, it doesn't matter who it is. Like you 211 00:11:39,920 --> 00:11:42,439 Speaker 1: get listeners that respond as soon as you tweet something 212 00:11:42,440 --> 00:11:46,120 Speaker 1: out within seconds. I got the notifications set so ben 213 00:11:46,120 --> 00:11:49,920 Speaker 1: tweets boom instant response like they do it across the board, 214 00:11:50,040 --> 00:11:55,440 Speaker 1: doesn't matter the celebrity. Alright. Another study out of Pittsburgh, Pennsylvania, 215 00:11:55,559 --> 00:11:58,280 Speaker 1: here we go. Scientists have been able to grow many 216 00:11:58,880 --> 00:12:03,520 Speaker 1: human liver from stem cells and successfully transplant them into 217 00:12:03,520 --> 00:12:06,439 Speaker 1: rest And this is great news. Um, some of you know, 218 00:12:06,559 --> 00:12:09,160 Speaker 1: my mom died years ago from cancer. She had breast cancer. 219 00:12:09,280 --> 00:12:11,679 Speaker 1: But she beat that a couple of she had to. 220 00:12:11,880 --> 00:12:13,880 Speaker 1: She actually had cancer three times. She had beaten. The 221 00:12:13,880 --> 00:12:17,480 Speaker 1: fourth time knocked her out. But um, she she had 222 00:12:17,520 --> 00:12:20,200 Speaker 1: breast cancer and then she was like almost five years. 223 00:12:20,240 --> 00:12:22,480 Speaker 1: You know the cancer game. If you make it five years, 224 00:12:22,640 --> 00:12:25,840 Speaker 1: you're you're in really you're in good shape. They consider 225 00:12:25,880 --> 00:12:28,640 Speaker 1: you mostly cancer free at that point. Right, she was 226 00:12:28,679 --> 00:12:31,720 Speaker 1: like a four years and like ten months and the 227 00:12:31,760 --> 00:12:34,400 Speaker 1: cancer came back, but it spread to her liver. And 228 00:12:34,480 --> 00:12:37,040 Speaker 1: you're really fucked when you get liver cancer, right, and 229 00:12:37,040 --> 00:12:40,640 Speaker 1: you're just and so if they're able to figure out 230 00:12:40,679 --> 00:12:45,040 Speaker 1: how to a grow livers some way and and then 231 00:12:45,080 --> 00:12:48,520 Speaker 1: successfully get that into the human body, my god, would 232 00:12:48,520 --> 00:12:52,480 Speaker 1: that be awesome? That would be an amazing thing. Be awesome. 233 00:12:52,760 --> 00:12:55,400 Speaker 1: This kind of goes back to our conversation last week 234 00:12:55,400 --> 00:12:59,680 Speaker 1: about Elon Musk and neuralink, like having a ship placed 235 00:12:59,720 --> 00:13:06,360 Speaker 1: in your mind if it can help cure Alzheimer's or dementia. Sure, yeah, 236 00:13:06,400 --> 00:13:08,760 Speaker 1: it's again. It's it's one of those things where you 237 00:13:08,800 --> 00:13:11,400 Speaker 1: don't really give a funk about liver transplants unless you 238 00:13:11,400 --> 00:13:13,959 Speaker 1: have liver carer. All of a sudden this becomes a 239 00:13:14,040 --> 00:13:18,000 Speaker 1: very important issue, you know. It's like, suddenly this becomes 240 00:13:18,240 --> 00:13:20,679 Speaker 1: the other one. Oh, our boss Andrew Ashwood who died 241 00:13:20,679 --> 00:13:24,440 Speaker 1: of pancreatic cancer, he had that for for a while, 242 00:13:24,600 --> 00:13:27,040 Speaker 1: our old boss of Fox. Um, if they could that's 243 00:13:27,080 --> 00:13:29,720 Speaker 1: a really tough one, the pancreatic cancer. That's there's really 244 00:13:29,760 --> 00:13:31,959 Speaker 1: just nothing they can do depend if they don't get 245 00:13:31,960 --> 00:13:33,880 Speaker 1: it early, and they don't usually get it early. So 246 00:13:33,920 --> 00:13:36,720 Speaker 1: they got to figure out something with that. That's also 247 00:13:37,080 --> 00:13:40,160 Speaker 1: on the on the list, all right. This kind of 248 00:13:40,160 --> 00:13:43,600 Speaker 1: relates to pop quiz, but it's not a blank device. 249 00:13:44,880 --> 00:13:48,640 Speaker 1: Um may soon be commonplace in America that it involves 250 00:13:48,640 --> 00:13:53,280 Speaker 1: the coronavirus pandemic, but it might become a regular device 251 00:13:53,360 --> 00:13:57,520 Speaker 1: that we all have day to day life in America. Thermometer, no, 252 00:13:57,920 --> 00:14:07,400 Speaker 1: a handheld uval fight that kills COVID nineteen. About that phone, keys, wallet, 253 00:14:07,920 --> 00:14:11,640 Speaker 1: all of that. Bringing the ultra violet device just in 254 00:14:11,679 --> 00:14:14,800 Speaker 1: case you want to have another thing to put in 255 00:14:14,840 --> 00:14:18,360 Speaker 1: your in your pocket and all that. But new researchers 256 00:14:18,400 --> 00:14:22,320 Speaker 1: say that portable handheld ultra violet light devices capable of 257 00:14:22,400 --> 00:14:27,640 Speaker 1: killing the COVID nineteen coronavirus from muhan Hina maybe a 258 00:14:27,720 --> 00:14:30,880 Speaker 1: reality in the future. These gadgets may as a weasel work, 259 00:14:30,920 --> 00:14:34,840 Speaker 1: but these gadgets would emit high intensity ultra violet light 260 00:14:35,440 --> 00:14:40,520 Speaker 1: and quickly disinfect targeted areas. So here's what you gotta do, Guest. 261 00:14:40,680 --> 00:14:42,760 Speaker 1: First of all, you got to investigate this. Secondly, you've 262 00:14:42,800 --> 00:14:45,840 Speaker 1: got to find out which companies are gonna make this 263 00:14:45,960 --> 00:14:49,600 Speaker 1: and invest in these things, because the people that are germophobes, 264 00:14:49,680 --> 00:14:51,800 Speaker 1: even when this is over, the people that germophobes are 265 00:14:51,800 --> 00:14:54,560 Speaker 1: still gonna buy this. The hypochondria acts are gonna buy this. 266 00:14:54,560 --> 00:14:56,640 Speaker 1: This is gonna be a big market. There's a lot 267 00:14:56,680 --> 00:14:59,880 Speaker 1: of market for the device that that they can market 268 00:15:00,000 --> 00:15:02,000 Speaker 1: it will kill the coronavirus, of course they they the 269 00:15:02,000 --> 00:15:03,640 Speaker 1: way they would market the final thing here, the way 270 00:15:03,640 --> 00:15:08,200 Speaker 1: they would market it is nine chance it will kill 271 00:15:08,200 --> 00:15:11,440 Speaker 1: the coronavirus, right, because I can't say because in case 272 00:15:11,480 --> 00:15:14,040 Speaker 1: it doesn't actually work, right of course. And it's it's 273 00:15:14,080 --> 00:15:16,240 Speaker 1: funny you said that, Like we talked about this on 274 00:15:16,240 --> 00:15:20,680 Speaker 1: a previous episode, like investment wise, besides the airline industry, 275 00:15:20,800 --> 00:15:26,520 Speaker 1: is it's exactly what I've been looking at tech and pharmaceuticals. Yeah, yeah, 276 00:15:26,520 --> 00:15:29,480 Speaker 1: I mean it's it's really scatter shot though the farm 277 00:15:29,560 --> 00:15:33,960 Speaker 1: the pharmaceutical companies because they've all got stuff in development, 278 00:15:34,000 --> 00:15:37,520 Speaker 1: most of them. But what actually, who's the one you got? 279 00:15:37,760 --> 00:15:39,760 Speaker 1: Can you bet on the one that will find the 280 00:15:39,800 --> 00:15:44,120 Speaker 1: cure for cancer that will then become Amazon? You know 281 00:15:44,160 --> 00:15:47,240 Speaker 1: what I'm saying? Can you figure that one out? That's 282 00:15:47,280 --> 00:15:51,960 Speaker 1: always the problem or Amazon actually buys them out right? Exactly? 283 00:15:53,120 --> 00:15:55,480 Speaker 1: There you go? All right? More studies here eight seven 284 00:15:56,240 --> 00:16:00,520 Speaker 1: eight seven percent of people say that they've had usual 285 00:16:00,640 --> 00:16:05,720 Speaker 1: dreams since the apocalypse started. That includes twenty who have 286 00:16:05,800 --> 00:16:10,760 Speaker 1: had an unexpected dream about their ex but that you know, 287 00:16:11,000 --> 00:16:13,200 Speaker 1: the old flame popping up back in your head while 288 00:16:13,200 --> 00:16:16,240 Speaker 1: you're sleeping. Now, I've always been of the belief guest 289 00:16:16,280 --> 00:16:20,200 Speaker 1: gut and my wife agrees with this that whatever you 290 00:16:20,240 --> 00:16:23,000 Speaker 1: were doing in the hours a couple of hours before 291 00:16:23,040 --> 00:16:24,800 Speaker 1: you went to sleep, you're watching TV or listen to 292 00:16:24,840 --> 00:16:27,520 Speaker 1: a radio show. I get emails from people about this. 293 00:16:27,800 --> 00:16:32,080 Speaker 1: But whatever you're doing, uh, you will have some dream 294 00:16:32,120 --> 00:16:34,800 Speaker 1: will be loosely related to that. If you are a dreamer, 295 00:16:34,960 --> 00:16:37,320 Speaker 1: I'm not. I usually don't sleep deep enough unless I 296 00:16:37,360 --> 00:16:40,880 Speaker 1: get drugged with my Kirkland brand sleep aid um to dream. 297 00:16:40,920 --> 00:16:42,840 Speaker 1: When I take the Kirkland Brand sleep Aid, I do 298 00:16:42,920 --> 00:16:45,479 Speaker 1: get into a deep enough state of sleep where I 299 00:16:45,480 --> 00:16:48,000 Speaker 1: I'm able to dream. But it is true like if 300 00:16:48,040 --> 00:16:51,880 Speaker 1: you if you're watching the rioting and the looting and 301 00:16:51,920 --> 00:16:54,800 Speaker 1: the pillaging of cities on news on the news before 302 00:16:54,840 --> 00:16:56,280 Speaker 1: you go to bed, chances are you gonna have some 303 00:16:56,360 --> 00:17:00,440 Speaker 1: kind of dream related to fire or crime or something 304 00:17:00,480 --> 00:17:05,080 Speaker 1: like that. Man, I tend to agree with you on that. 305 00:17:05,920 --> 00:17:08,720 Speaker 1: On the other side, though, I've had some random dreams 306 00:17:08,760 --> 00:17:12,720 Speaker 1: about x is or just women I've dated in the past. Now, 307 00:17:12,720 --> 00:17:14,919 Speaker 1: are you making whoopie in this Were you going hubba 308 00:17:14,960 --> 00:17:17,440 Speaker 1: hubba with the or you were just hanging out with 309 00:17:17,520 --> 00:17:20,639 Speaker 1: him or whatever? Yeah, Like I had a dream about 310 00:17:20,680 --> 00:17:24,919 Speaker 1: an X Like I remember this distinctly where it was 311 00:17:25,040 --> 00:17:28,920 Speaker 1: during this like a pandemic chaos, and then all of 312 00:17:29,000 --> 00:17:32,880 Speaker 1: a sudden, I went from one room to another room, 313 00:17:32,880 --> 00:17:35,120 Speaker 1: almost like a slide show. I went from one room 314 00:17:35,160 --> 00:17:39,800 Speaker 1: to the other, soone from chaos to a beach, and 315 00:17:39,880 --> 00:17:43,080 Speaker 1: I remember she was just laying out sunbathing on a 316 00:17:43,080 --> 00:17:46,240 Speaker 1: reclining chair and she says, fuck you found me, And 317 00:17:46,240 --> 00:17:48,159 Speaker 1: then I woke up. I remember that ship like it 318 00:17:48,240 --> 00:17:51,440 Speaker 1: was yesterday, and I was like, what, why the funk 319 00:17:51,480 --> 00:17:53,800 Speaker 1: am I dreaming about you? And too, why the funk 320 00:17:53,840 --> 00:17:58,760 Speaker 1: am I dreaming about you? They're like, and then just 321 00:17:58,840 --> 00:18:00,960 Speaker 1: cussing me out in the dream. I just I don't 322 00:18:00,960 --> 00:18:03,119 Speaker 1: know what it meant, but why she's an ex, I 323 00:18:03,160 --> 00:18:07,920 Speaker 1: believe right, YEA, Generally we don't like to hang out 324 00:18:07,960 --> 00:18:10,040 Speaker 1: with people that curse us out. That usually doesn't go 325 00:18:10,119 --> 00:18:16,239 Speaker 1: well for the long term relationship, you know. Not that 326 00:18:16,480 --> 00:18:19,160 Speaker 1: not that I'm a relationship expertly or like Dr Drew 327 00:18:19,240 --> 00:18:22,520 Speaker 1: or anything like that. All my relationships had been long term. 328 00:18:22,560 --> 00:18:25,280 Speaker 1: My shortest relationship was like three years. Oh my god, 329 00:18:25,320 --> 00:18:28,359 Speaker 1: this is I never had long term relationship with really. 330 00:18:28,680 --> 00:18:31,000 Speaker 1: Be sure to catch live editions of The Ben Maller 331 00:18:31,080 --> 00:18:34,640 Speaker 1: Show week days at two am Eastern pm Pacific, oh 332 00:18:34,920 --> 00:18:37,720 Speaker 1: before my wife. Yeah, I I never. I mean it 333 00:18:37,760 --> 00:18:40,119 Speaker 1: was all like a few months at the most. It 334 00:18:40,240 --> 00:18:44,320 Speaker 1: was terrible because well, I was so fat, women wouldn't 335 00:18:44,320 --> 00:18:46,520 Speaker 1: getting near me. I was for many years, so that 336 00:18:46,560 --> 00:18:49,520 Speaker 1: was my first problem. And maybe occasionally I would have 337 00:18:49,640 --> 00:18:51,520 Speaker 1: a hook up here and there, but it was very rare. 338 00:18:52,000 --> 00:18:54,879 Speaker 1: And then and then later on when I did go 339 00:18:54,920 --> 00:18:57,800 Speaker 1: out and date, it was it was like, you're such 340 00:18:57,800 --> 00:18:59,399 Speaker 1: a great guy, and I like you a lot, but 341 00:18:59,520 --> 00:19:02,359 Speaker 1: you know, work every Friday and Saturday night and we 342 00:19:02,400 --> 00:19:03,960 Speaker 1: can't go out and I like to get dressed up 343 00:19:03,960 --> 00:19:06,440 Speaker 1: and go out in the weekend, so fuck you. It 344 00:19:06,560 --> 00:19:09,600 Speaker 1: was that kind of thing. And so, you know, once 345 00:19:09,640 --> 00:19:11,960 Speaker 1: you get in this business and you get those bad hours, 346 00:19:12,680 --> 00:19:15,080 Speaker 1: you stop getting invited to parties, you stopped getting you know, 347 00:19:15,119 --> 00:19:17,320 Speaker 1: that kind of thing. So and then, but yeah, I've 348 00:19:17,359 --> 00:19:20,880 Speaker 1: never I've never really had long term relationships with anybody 349 00:19:21,000 --> 00:19:23,359 Speaker 1: as far as women are continuing. Dudes, I've known, but 350 00:19:23,440 --> 00:19:25,240 Speaker 1: that didn't sleep with. So I don't think it counts you. 351 00:19:25,560 --> 00:19:30,400 Speaker 1: I can't prove it, but maybe al right, a thirst 352 00:19:30,520 --> 00:19:33,920 Speaker 1: for knowledge, thirst for knowledge. New study were doing study, 353 00:19:33,920 --> 00:19:36,440 Speaker 1: this survey, this tribute to Pennant Teller's bullshit, that old 354 00:19:36,440 --> 00:19:38,679 Speaker 1: show back on showtime back in the day. All right, 355 00:19:38,720 --> 00:19:43,560 Speaker 1: So Vanderbilt University New researchers study concludes that children prefer 356 00:19:43,720 --> 00:19:48,600 Speaker 1: story books containing information explaining how and why the world 357 00:19:48,640 --> 00:19:52,240 Speaker 1: works the way it does. The authors believe their work 358 00:19:52,280 --> 00:19:55,440 Speaker 1: will help parents and teachers alike pick out reading materials 359 00:19:55,440 --> 00:19:58,240 Speaker 1: that children will be more willing to embrace. Yeah, why 360 00:19:58,240 --> 00:20:01,360 Speaker 1: do you think the news media's so powerful right now? 361 00:20:01,480 --> 00:20:05,720 Speaker 1: It's because they've infiltrated social media and then they disperse 362 00:20:05,840 --> 00:20:08,600 Speaker 1: that ship out to the young masses and they're just 363 00:20:08,800 --> 00:20:13,040 Speaker 1: fucking sheep. Well, yeah, we we talked about this in 364 00:20:13,040 --> 00:20:15,160 Speaker 1: the previous episode of the Fifth Hour podcast. I forget 365 00:20:15,200 --> 00:20:16,280 Speaker 1: which one. I think it was here. I don't think 366 00:20:16,320 --> 00:20:18,720 Speaker 1: it was on the radio. That and this was a 367 00:20:18,760 --> 00:20:23,919 Speaker 1: study people learn from stories, Yes, that we are all 368 00:20:23,960 --> 00:20:27,280 Speaker 1: wired to learn from stories. Like if you give someone 369 00:20:27,400 --> 00:20:30,160 Speaker 1: just facts and not a story, they will not retain that, 370 00:20:30,160 --> 00:20:33,639 Speaker 1: that will not resonate with people. Um, We're all wired. 371 00:20:33,680 --> 00:20:35,520 Speaker 1: It's just genetics. We're all wired and the same way 372 00:20:35,560 --> 00:20:38,800 Speaker 1: we want to hear the story, whatever that is. You 373 00:20:39,119 --> 00:20:41,680 Speaker 1: learn religion from the stories of the Bible, right, That's 374 00:20:41,680 --> 00:20:43,639 Speaker 1: how you learn religion from the stories in the Bible. 375 00:20:43,760 --> 00:20:48,439 Speaker 1: You you learn any medium from from stories. But one 376 00:20:48,440 --> 00:20:50,520 Speaker 1: of the reasons people like certain radio shows because they 377 00:20:50,560 --> 00:20:53,639 Speaker 1: tell stories. That's it, you know, the little stories that 378 00:20:53,680 --> 00:20:57,560 Speaker 1: people love. Here is that I standing exact because when 379 00:20:57,560 --> 00:20:59,320 Speaker 1: I was a kid, my mom used to read to me, 380 00:20:59,440 --> 00:21:03,280 Speaker 1: and I I freaking love and I thought that was 381 00:21:03,320 --> 00:21:04,840 Speaker 1: the greatest thing in the world. You know, you lay 382 00:21:04,840 --> 00:21:07,680 Speaker 1: in bed, your jabaz on, you got your your Superman, 383 00:21:07,800 --> 00:21:10,640 Speaker 1: Teddy Bear or whatever, and you just your mom reading. 384 00:21:10,640 --> 00:21:12,840 Speaker 1: It's awesome. Yeah so, And I think as you grow 385 00:21:12,920 --> 00:21:15,080 Speaker 1: up you like people to be like it flashes back 386 00:21:15,119 --> 00:21:17,439 Speaker 1: to your younger days. You're like, oh, somebody's reading him. 387 00:21:17,480 --> 00:21:19,240 Speaker 1: It's like, um, I'm like a kid again. But you 388 00:21:19,480 --> 00:21:21,240 Speaker 1: think about it, you could do it in a simplistic 389 00:21:21,240 --> 00:21:23,920 Speaker 1: form like here in Los Angeles. The difference between Vince 390 00:21:23,920 --> 00:21:27,439 Speaker 1: Skill and every other Dodgers broadcaster we've ever had is 391 00:21:27,480 --> 00:21:31,639 Speaker 1: what like his ability to to tell a story and 392 00:21:31,720 --> 00:21:34,760 Speaker 1: not just be a stat driven play by play broadcaster. 393 00:21:35,400 --> 00:21:39,239 Speaker 1: Everybody else was like that. Vinn was not. And he 394 00:21:39,320 --> 00:21:42,439 Speaker 1: was also intelligent. He was educated, and he had a 395 00:21:42,520 --> 00:21:45,960 Speaker 1: great grasp of of not a U S history, but 396 00:21:46,040 --> 00:21:50,000 Speaker 1: human history. And he made everything into a conversation or 397 00:21:50,119 --> 00:21:52,199 Speaker 1: welcome me in, and it was relatable. Like that was 398 00:21:52,240 --> 00:21:54,400 Speaker 1: the biggest thing. That's why we loved him so much. 399 00:21:54,440 --> 00:21:57,760 Speaker 1: He was like a friend talking to you. Yeah. And um. 400 00:21:58,040 --> 00:21:59,600 Speaker 1: One of the things I've tried to add to my 401 00:21:59,640 --> 00:22:02,879 Speaker 1: rep ti here is I do try with these dopey 402 00:22:02,920 --> 00:22:04,639 Speaker 1: monologues that I do every night, I do try to 403 00:22:04,680 --> 00:22:08,119 Speaker 1: mix in like odd references because I like these odd 404 00:22:08,160 --> 00:22:10,520 Speaker 1: factoids and stuff, and I like to like throw them 405 00:22:10,560 --> 00:22:13,359 Speaker 1: in the middle of a boring monologue about the Portland 406 00:22:13,400 --> 00:22:15,320 Speaker 1: Trailblazers something, you know. I just try to spice them 407 00:22:15,359 --> 00:22:17,640 Speaker 1: up a little bit, Kay and pepper on top there. Yeah, 408 00:22:17,720 --> 00:22:19,119 Speaker 1: it's a little annoying. And I don't even know if 409 00:22:19,119 --> 00:22:21,800 Speaker 1: anybody likes them, because I I enjoy them. I because 410 00:22:21,960 --> 00:22:24,320 Speaker 1: it's a way for me to justify looking up stupid 411 00:22:24,320 --> 00:22:28,280 Speaker 1: facts about life. I well, certain times, like if you 412 00:22:28,359 --> 00:22:30,600 Speaker 1: use a word, I get a little fucking annoyed. Not 413 00:22:30,760 --> 00:22:33,120 Speaker 1: why why would you get annoyed. I love words. All 414 00:22:33,119 --> 00:22:35,440 Speaker 1: I have is words I learned from Brian Wheeler, the 415 00:22:35,440 --> 00:22:38,320 Speaker 1: old voice of the Trailblazers. You got announce you you 416 00:22:38,400 --> 00:22:41,439 Speaker 1: gotta because for me, I didn't read a lot as 417 00:22:41,480 --> 00:22:43,960 Speaker 1: a kid, and so it's annoying for me now because 418 00:22:44,000 --> 00:22:47,520 Speaker 1: there are people like like like Bob Costas. People either 419 00:22:47,560 --> 00:22:48,959 Speaker 1: love him or hate him, but I think he has 420 00:22:49,000 --> 00:22:52,919 Speaker 1: a great grasp of the English language. And all our 421 00:22:52,960 --> 00:22:55,120 Speaker 1: friends that are good with language, good with words, good 422 00:22:55,119 --> 00:22:57,800 Speaker 1: with language and having a good range. And I'm not 423 00:22:57,840 --> 00:23:00,880 Speaker 1: one of those guys. So like I words, you say, 424 00:23:00,920 --> 00:23:06,800 Speaker 1: I'm like Google, look at uh you know. I I am, 425 00:23:06,840 --> 00:23:09,440 Speaker 1: as you know, not the most book educated person in 426 00:23:09,440 --> 00:23:12,080 Speaker 1: the world. I did not graduate from college. I went 427 00:23:12,119 --> 00:23:14,760 Speaker 1: to Saddleback College and I barely made it out of 428 00:23:14,800 --> 00:23:16,879 Speaker 1: high school. I was not a great student in high school. 429 00:23:16,960 --> 00:23:18,640 Speaker 1: But I feel like I've gotten more of an I'm 430 00:23:18,640 --> 00:23:22,280 Speaker 1: like self educated because of the Internet. Um, thank god 431 00:23:22,359 --> 00:23:25,080 Speaker 1: for the Internet. And I love learning new words. And 432 00:23:25,119 --> 00:23:27,679 Speaker 1: I'm always like if i i'll hear somebody, I'll be 433 00:23:27,720 --> 00:23:30,119 Speaker 1: watching something on YouTube and I'll hear some word that 434 00:23:30,160 --> 00:23:31,679 Speaker 1: I've never heard before, and I'll be like, what the 435 00:23:31,680 --> 00:23:33,240 Speaker 1: fund is that I gotta use that word. I gotta 436 00:23:33,240 --> 00:23:35,600 Speaker 1: add that to my lexicon. I gotta, I gotta write 437 00:23:35,640 --> 00:23:38,960 Speaker 1: that down. And uh, I love I love fun words. 438 00:23:39,320 --> 00:23:41,960 Speaker 1: See because really, the way I determined this years ago, 439 00:23:43,520 --> 00:23:47,520 Speaker 1: roughly nine of the time I am saying the same ship. 440 00:23:47,600 --> 00:23:52,080 Speaker 1: Colin Cowherd is the same ship, Jason Smith, Clay Travis, 441 00:23:52,200 --> 00:23:54,959 Speaker 1: Rob Parker, We're all saying the same ship through the 442 00:23:54,960 --> 00:23:57,080 Speaker 1: course of the day. So you gotta stand out a little. 443 00:23:57,119 --> 00:23:59,040 Speaker 1: You gotta find a way to make it sound different, 444 00:23:59,240 --> 00:24:02,360 Speaker 1: using the same getting to the same point, but through 445 00:24:02,400 --> 00:24:07,000 Speaker 1: different means, like you know, saying skullduggery or horn swoggle 446 00:24:07,080 --> 00:24:10,480 Speaker 1: as opposed to some generic words that you could also 447 00:24:10,520 --> 00:24:12,920 Speaker 1: say that would mean the same thing. Right, you said 448 00:24:13,040 --> 00:24:15,120 Speaker 1: that person there was a scam involved. No, that person 449 00:24:15,160 --> 00:24:17,879 Speaker 1: got horn swoggled. That's a much That's a much more 450 00:24:17,960 --> 00:24:20,520 Speaker 1: enjoyable word to say, right, I think for me, maybe 451 00:24:20,520 --> 00:24:22,320 Speaker 1: people don't agree with that, but I think those are 452 00:24:22,320 --> 00:24:27,320 Speaker 1: more fun. Farcical. Scrupulous, Yes, a scrupulous is another one 453 00:24:27,320 --> 00:24:30,800 Speaker 1: that's pretty good. Do you ever use zeitgeist? I have 454 00:24:31,000 --> 00:24:34,760 Speaker 1: not really used zeitgeist regularly. I don't know that I've 455 00:24:34,800 --> 00:24:37,800 Speaker 1: ever used it. I try to work in as a 456 00:24:37,880 --> 00:24:40,360 Speaker 1: tribute to my my grandfather. When I was a kid 457 00:24:40,520 --> 00:24:43,879 Speaker 1: and when we would be hanging out my mom's dad, 458 00:24:44,320 --> 00:24:47,159 Speaker 1: he too, he wanted to curse. He would curse in 459 00:24:47,240 --> 00:24:50,480 Speaker 1: Yiddish at the table. So I learned a lot of 460 00:24:50,480 --> 00:24:54,040 Speaker 1: the bad words, but I, you know, like one of 461 00:24:54,080 --> 00:24:56,639 Speaker 1: them I used because he would he would yell at 462 00:24:56,640 --> 00:24:59,720 Speaker 1: these kids because we would take a long time to 463 00:24:59,760 --> 00:25:01,480 Speaker 1: get ready to go to like he liked to go 464 00:25:01,520 --> 00:25:04,320 Speaker 1: to Burger King and Pizza Hut when we were you kidding, 465 00:25:04,400 --> 00:25:06,800 Speaker 1: but he would say stop crutching. Ois is what he 466 00:25:06,840 --> 00:25:10,560 Speaker 1: would say, which is uh, which is Yiddish for you know, 467 00:25:10,800 --> 00:25:14,240 Speaker 1: going very slow and uh. You know, you'd call you 468 00:25:14,240 --> 00:25:17,000 Speaker 1: a schmendrick, which is a you know, fool or you 469 00:25:17,000 --> 00:25:18,399 Speaker 1: know all that's so I try to work those in. 470 00:25:18,480 --> 00:25:21,119 Speaker 1: But and then I'm also I didn't really know a 471 00:25:21,119 --> 00:25:23,000 Speaker 1: lot of Latin. But then there's like I didn't realize 472 00:25:23,040 --> 00:25:26,240 Speaker 1: there's so much Latin that is just in day to 473 00:25:26,280 --> 00:25:29,720 Speaker 1: day life, like certain terms. Impromptu is a Latin word 474 00:25:30,520 --> 00:25:34,240 Speaker 1: intro a Latin word quid pro quo, which is a 475 00:25:34,240 --> 00:25:37,960 Speaker 1: fun phrase to say. Mia Colpa will use that in 476 00:25:37,960 --> 00:25:43,320 Speaker 1: the previous podcast pro bono. The vice versa is Latin. 477 00:25:44,680 --> 00:25:49,439 Speaker 1: Ad hawk is also Latin. Alibi. Alibi is probably the 478 00:25:49,480 --> 00:25:53,119 Speaker 1: most is that the most used Latin word? Alibi? That 479 00:25:53,160 --> 00:25:58,600 Speaker 1: person has an alibi? Yeah, it could be bona fide. Yeah, 480 00:25:58,640 --> 00:26:03,040 Speaker 1: there's a good what's that anti stent? Is that Latin? 481 00:26:03,600 --> 00:26:05,680 Speaker 1: But we have yeah, I mean you you mentioned it. 482 00:26:05,680 --> 00:26:08,480 Speaker 1: It all goes back to, you know, the Latin origins 483 00:26:08,520 --> 00:26:14,200 Speaker 1: and a prefix for something, suffix for another. Like there's yeah, 484 00:26:14,440 --> 00:26:19,280 Speaker 1: pretty much all of our language, the the American dialect 485 00:26:19,440 --> 00:26:22,320 Speaker 1: is just stealing ship from other people and turning into 486 00:26:22,320 --> 00:26:24,760 Speaker 1: our own. And that's pretty much how we do it. Yeah, 487 00:26:24,880 --> 00:26:28,640 Speaker 1: I appreciate it's a it's a what's the phrase here? 488 00:26:28,640 --> 00:26:32,120 Speaker 1: It's a it's a tapestry or now, what's the word 489 00:26:32,119 --> 00:26:34,560 Speaker 1: I'm looking for here? Mosaic? Maybe that's not the right word. 490 00:26:34,720 --> 00:26:41,320 Speaker 1: About fruit salad? How about salad? Fruits? But everything's intertwined, right, 491 00:26:41,359 --> 00:26:47,280 Speaker 1: It's like a a canvas. Everything's crisscrossed together, and we've 492 00:26:47,320 --> 00:26:51,000 Speaker 1: incorporated these other things. It's like California and New York. 493 00:26:51,080 --> 00:26:53,760 Speaker 1: We are fucking melting pots, right, We're just this giant 494 00:26:53,880 --> 00:26:58,480 Speaker 1: mixture of people, the good, the bad, and the ugly. Guy. Yeah, 495 00:26:58,520 --> 00:27:01,600 Speaker 1: I mean different cultures, different brands, different ideas, like we're 496 00:27:01,640 --> 00:27:04,440 Speaker 1: just this giant melting pot. Be sure to catch live edition. 497 00:27:04,480 --> 00:27:07,159 Speaker 1: So the Ben Maller Show weekdays at two am Eastern 498 00:27:07,240 --> 00:27:10,879 Speaker 1: eleven pm Pacific. Yep, we are one more study here 499 00:27:11,000 --> 00:27:12,800 Speaker 1: and then we'll get to pop quiz. My favorite part 500 00:27:12,960 --> 00:27:14,560 Speaker 1: is pop quizz. I love the pop quizz. I love 501 00:27:14,600 --> 00:27:16,520 Speaker 1: quizzing guest on quizzing you all right, So I knew 502 00:27:16,560 --> 00:27:21,760 Speaker 1: study from researchers at Harvard University Harvard. Yard's been Harvard 503 00:27:21,760 --> 00:27:23,800 Speaker 1: several times. You've been Harvard, You've been Harvard. I've walked 504 00:27:23,840 --> 00:27:26,080 Speaker 1: by it. Yes. When I went to school at Northeastern, 505 00:27:26,119 --> 00:27:29,280 Speaker 1: I I did the whole tour. I went Harvard. I 506 00:27:29,320 --> 00:27:32,280 Speaker 1: went Northeastern obviously than Boston College and be you. I 507 00:27:32,440 --> 00:27:34,520 Speaker 1: I mean, I fucking love Boston as it is, but 508 00:27:34,640 --> 00:27:40,360 Speaker 1: to watch, I mean, you've got finily there obviously we're 509 00:27:40,359 --> 00:27:43,760 Speaker 1: Boston or baseball guys. And then the TV Garden it's 510 00:27:44,359 --> 00:27:47,959 Speaker 1: your Boston. Well, I'm right there, man. I love the vibe. 511 00:27:48,000 --> 00:27:51,520 Speaker 1: It's such a sports crazy town too, and it's just 512 00:27:51,600 --> 00:27:54,400 Speaker 1: like the whole I'm all about that action in Boston 513 00:27:54,480 --> 00:27:56,639 Speaker 1: for sure. I've been. I've been lucky to do some 514 00:27:56,680 --> 00:27:59,160 Speaker 1: stuff there on the radio locally a couple of years back. 515 00:27:59,160 --> 00:28:01,800 Speaker 1: All Right, So, a new study from researchers at Harvard 516 00:28:01,920 --> 00:28:05,200 Speaker 1: University says that hooking up carries some risk. You might 517 00:28:05,200 --> 00:28:07,040 Speaker 1: see this seeing this the other day. Guess we haven't 518 00:28:07,040 --> 00:28:11,600 Speaker 1: talked about it, Uh, the risk of transmitting the coronavirus 519 00:28:12,280 --> 00:28:15,320 Speaker 1: from one part in to the other. And the researchers 520 00:28:15,320 --> 00:28:18,480 Speaker 1: at Harvard recommend, apparently with a straight face, that, among 521 00:28:18,520 --> 00:28:22,200 Speaker 1: other practices, couples should be wearing a mask while stooping. 522 00:28:23,960 --> 00:28:26,600 Speaker 1: I saw that. How is that supposed to work? And 523 00:28:26,680 --> 00:28:29,000 Speaker 1: I've seen I guess there's some cottage porn out there 524 00:28:29,040 --> 00:28:31,399 Speaker 1: that people are wearing masks, But how how is this 525 00:28:31,480 --> 00:28:36,080 Speaker 1: actually supposed to work? Guess got in the real world, like, uh, 526 00:28:36,119 --> 00:28:38,560 Speaker 1: you know you you make the signs, your your head 527 00:28:38,600 --> 00:28:40,760 Speaker 1: over heels and love, you're gonna you're gonna go do 528 00:28:40,840 --> 00:28:43,200 Speaker 1: the dirty and then hold on, let me make sure 529 00:28:43,240 --> 00:28:45,640 Speaker 1: my mask is on. You know, I gotta well, people 530 00:28:45,680 --> 00:28:49,400 Speaker 1: wear masks like the S and M stuff, right, Like, yeah, 531 00:28:50,120 --> 00:28:51,560 Speaker 1: you do that all the time. I know, if you 532 00:28:51,640 --> 00:28:55,160 Speaker 1: know something different, different way to get off. But that 533 00:28:55,560 --> 00:28:59,200 Speaker 1: tantalizing kind of in. This is perfect for role play though, right, 534 00:28:59,200 --> 00:29:01,400 Speaker 1: you got a husband, I have boyfriend, girl friend, once 535 00:29:01,400 --> 00:29:04,520 Speaker 1: a doctor, once a nurse. There you go, put again 536 00:29:05,320 --> 00:29:08,560 Speaker 1: Cassanova with a mask. There you go. You can buy 537 00:29:08,600 --> 00:29:11,840 Speaker 1: some scrubs that have the COVID nineteen masks and then 538 00:29:11,840 --> 00:29:14,120 Speaker 1: that's how you're undressing it. After it boom, you're on 539 00:29:14,120 --> 00:29:16,800 Speaker 1: your way. All right, time it out for pop quiz. 540 00:29:16,920 --> 00:29:20,200 Speaker 1: These are actual quiz questions that we discovered this week 541 00:29:20,240 --> 00:29:23,280 Speaker 1: and we compiled and here they are. All right, forty 542 00:29:23,680 --> 00:29:28,680 Speaker 1: percent of people admit they have secretly done this at 543 00:29:28,720 --> 00:29:32,640 Speaker 1: work when no one was looking. What is it? Look 544 00:29:32,680 --> 00:29:37,200 Speaker 1: up porn? I'll bet you it's more that looked up 545 00:29:37,240 --> 00:29:42,120 Speaker 1: porn at work. The answer is adjust the thermostat Oh, 546 00:29:42,680 --> 00:29:44,920 Speaker 1: I think that'd be higher than that. I agree. We 547 00:29:45,560 --> 00:29:48,560 Speaker 1: admitted to it, so you know that's more. And I 548 00:29:48,680 --> 00:29:51,360 Speaker 1: used to do this all the time. I believed in 549 00:29:51,400 --> 00:29:54,320 Speaker 1: the old David Letterman philosophy of broadcasting. I wanted to 550 00:29:54,360 --> 00:29:56,800 Speaker 1: be living in an ice box when I was doing radio. 551 00:29:57,040 --> 00:30:00,360 Speaker 1: And a couple of years ago there was is one 552 00:30:00,400 --> 00:30:03,360 Speaker 1: of our our talk shows. I remember exactly when it happened. 553 00:30:04,040 --> 00:30:05,840 Speaker 1: We had a guy that used to play college basketball 554 00:30:05,840 --> 00:30:08,560 Speaker 1: at Penn State and played with the Lakers. I forget 555 00:30:08,560 --> 00:30:12,480 Speaker 1: the guy's name, but he was a little late getting 556 00:30:12,480 --> 00:30:14,680 Speaker 1: out of the studio and I was the next show 557 00:30:14,720 --> 00:30:20,680 Speaker 1: coming in, and there was a collision and the box 558 00:30:20,800 --> 00:30:25,040 Speaker 1: in the main studio that controls the temperature the thermostat 559 00:30:25,280 --> 00:30:29,080 Speaker 1: came tumbling down. It fell off the wall, and they 560 00:30:29,120 --> 00:30:34,400 Speaker 1: replaced it with a thermostat that you cannot adjust. And 561 00:30:34,440 --> 00:30:36,800 Speaker 1: I'm still fucking pissed about that because I I no 562 00:30:36,960 --> 00:30:40,360 Speaker 1: longer when I go into the studio, I'm able to 563 00:30:40,400 --> 00:30:43,440 Speaker 1: turn the temperature down, and it still bothers me. I 564 00:30:43,520 --> 00:30:45,440 Speaker 1: used to love going in there and turning it down. 565 00:30:45,440 --> 00:30:47,160 Speaker 1: I was like my way of getting a couple of 566 00:30:47,200 --> 00:30:53,000 Speaker 1: extra bucks out of the company the electric bill. Would 567 00:30:53,040 --> 00:30:57,600 Speaker 1: you ever set the microphone volume up sky high so 568 00:30:57,640 --> 00:31:00,719 Speaker 1: when the other person came in and they're just blaster 569 00:31:00,760 --> 00:31:03,400 Speaker 1: ear drums? Well, I didn't have to do that because 570 00:31:03,400 --> 00:31:05,719 Speaker 1: I just left mine. Mine is turned all the way 571 00:31:05,800 --> 00:31:07,640 Speaker 1: up there, So why that would just be the way 572 00:31:07,720 --> 00:31:11,200 Speaker 1: that would work? So hearing is not not not great 573 00:31:11,240 --> 00:31:14,200 Speaker 1: over here. A new survey says ninety two percent of 574 00:31:14,320 --> 00:31:18,200 Speaker 1: children eat this, but only nine percent of adults enjoy this, 575 00:31:21,240 --> 00:31:24,840 Speaker 1: Um about this is it? Jillo? Do do do? Do? Do? 576 00:31:25,840 --> 00:31:28,680 Speaker 1: This involves cold weather? How about that involves cold weather? 577 00:31:31,320 --> 00:31:34,280 Speaker 1: Kids eat this? But only nine of adults. I was 578 00:31:34,320 --> 00:31:36,320 Speaker 1: gonna say, if they eat it wouldn't be hot chocolate. 579 00:31:36,520 --> 00:31:46,080 Speaker 1: Um cold weather? Um got nothing? No? All right, snow? 580 00:31:46,760 --> 00:31:49,800 Speaker 1: Have you ever eaten snow? No? You have not? No, 581 00:31:50,640 --> 00:31:54,240 Speaker 1: come on no. One of my favorite memories in life 582 00:31:54,640 --> 00:31:57,880 Speaker 1: I was as in New York few years back. My 583 00:31:57,880 --> 00:32:02,480 Speaker 1: my nieces bought mitzvah and it was snowing in Manhattan 584 00:32:03,160 --> 00:32:07,560 Speaker 1: and got into a snowball fight in man That was awesome. 585 00:32:08,240 --> 00:32:11,080 Speaker 1: Very few people out, piles of snow on the cars 586 00:32:11,120 --> 00:32:14,680 Speaker 1: that were parked on the side streets, and the mail 587 00:32:14,800 --> 00:32:16,800 Speaker 1: boxes and all this stuff, and we were just picking 588 00:32:16,840 --> 00:32:19,680 Speaker 1: the snow up and just it was felt like I 589 00:32:19,720 --> 00:32:22,040 Speaker 1: was in a movie. It was great. And I did 590 00:32:22,040 --> 00:32:24,160 Speaker 1: eat some snow that day. I did. I ate snow, 591 00:32:24,240 --> 00:32:26,680 Speaker 1: not the yellow snow. I eat just regular snow. Yeah, 592 00:32:26,720 --> 00:32:28,880 Speaker 1: I did as a kid eats. Sorry, doc, I did 593 00:32:28,880 --> 00:32:31,880 Speaker 1: not eat snow yellow snow. Snow cones were always good, though, 594 00:32:31,960 --> 00:32:35,040 Speaker 1: like when they put the syrup in there, like oh yeah, yeah, yeah, 595 00:32:35,160 --> 00:32:40,800 Speaker 1: those are pretty tasty. Book on snow cones like yellow snow. Yeah, 596 00:32:40,960 --> 00:32:42,880 Speaker 1: next time Doc calls up, I'm gonna have to bring 597 00:32:42,960 --> 00:32:44,840 Speaker 1: up the fact. Hey, Doc, you know you should the 598 00:32:44,840 --> 00:32:46,560 Speaker 1: way to get people to drink urine is you should 599 00:32:46,560 --> 00:32:49,760 Speaker 1: get you should sell it as like the ice, the ice, 600 00:32:49,840 --> 00:32:51,440 Speaker 1: what do they call those things? The It would be 601 00:32:51,520 --> 00:32:58,760 Speaker 1: like a fucking mohito man, like you what youre this? 602 00:32:58,800 --> 00:33:02,000 Speaker 1: I don't know? You can hit That's the book of 603 00:33:02,120 --> 00:33:05,560 Speaker 1: urine right there. It sounds like a zipper. It's a 604 00:33:05,640 --> 00:33:09,640 Speaker 1: book that Doc sent me. There yourself and to health 605 00:33:09,720 --> 00:33:11,720 Speaker 1: or whatever was that. I saw your picture of it 606 00:33:11,760 --> 00:33:16,240 Speaker 1: on social media. I can't I can't believe he sent 607 00:33:16,320 --> 00:33:18,320 Speaker 1: that to you. I can't think that's even true. But 608 00:33:18,640 --> 00:33:20,160 Speaker 1: you want to there's a bunch of other stuff I 609 00:33:20,160 --> 00:33:23,320 Speaker 1: didn't tweet out. Let's see you here. I mean, the 610 00:33:23,360 --> 00:33:26,560 Speaker 1: fact that Fats let himself on fire after drinking his 611 00:33:26,560 --> 00:33:29,640 Speaker 1: own piss is pretty phenomenal. But then you have Doc 612 00:33:29,720 --> 00:33:35,320 Speaker 1: Mike send you a book. Yeah, he sent me a 613 00:33:35,320 --> 00:33:39,520 Speaker 1: bunch of other pamphlets of weird ship. Then oh, here's 614 00:33:39,520 --> 00:33:43,640 Speaker 1: here's here he sent me. This is great. Doc sent 615 00:33:43,680 --> 00:33:48,920 Speaker 1: me a copy of him being Remember he got it. 616 00:33:48,960 --> 00:33:51,760 Speaker 1: He went to jail for a while because he caught 617 00:33:51,760 --> 00:33:55,320 Speaker 1: practicing medicine. He sent me the conditions of his probation 618 00:33:55,400 --> 00:33:59,240 Speaker 1: release when he got out of jail, and it's got 619 00:33:59,720 --> 00:34:01,800 Speaker 1: third he sent me a copy. This is unbelievable. He 620 00:34:01,840 --> 00:34:04,640 Speaker 1: wrote two years at the top. This goes back to 621 00:34:04,680 --> 00:34:10,000 Speaker 1: August of August of so that's when he was banned 622 00:34:10,000 --> 00:34:12,359 Speaker 1: from calling the show. And it's got a list of 623 00:34:12,719 --> 00:34:15,680 Speaker 1: things he cannot do on probation and number six on 624 00:34:15,719 --> 00:34:18,400 Speaker 1: the list the defendant shell and no way associate in 625 00:34:18,480 --> 00:34:23,120 Speaker 1: any business internet site, radio, or media outlet, publication, or 626 00:34:23,160 --> 00:34:26,040 Speaker 1: any other vehicle which holds out to the public any 627 00:34:26,080 --> 00:34:28,760 Speaker 1: service which is related any way to health or medical 628 00:34:28,840 --> 00:34:33,560 Speaker 1: advice or treatment. And Uh. Of course he got in 629 00:34:33,600 --> 00:34:36,840 Speaker 1: trouble partly from our show and others because he was 630 00:34:36,880 --> 00:34:41,200 Speaker 1: calling up and claiming he was a doctor and UH 631 00:34:41,880 --> 00:34:46,400 Speaker 1: didn't go to medical schools. Fox Sports Radio has the 632 00:34:46,440 --> 00:34:49,360 Speaker 1: best sports talk lineup in the nation. Catch all of 633 00:34:49,360 --> 00:34:52,920 Speaker 1: our shows at Fox Sports Radio dot com and within 634 00:34:52,920 --> 00:34:55,400 Speaker 1: the I Heart Radio app search f s R to 635 00:34:55,520 --> 00:34:59,440 Speaker 1: listen live. Al Right, pop quiz continues twenty of adults 636 00:34:59,440 --> 00:35:07,040 Speaker 1: admitting they cannot do this simple task. What is it? Guess? Uh? No, no, 637 00:35:07,200 --> 00:35:12,880 Speaker 1: it is name all of the planets in our Solar system. 638 00:35:13,520 --> 00:35:15,960 Speaker 1: We contain the name planets too, which is nice. Did 639 00:35:16,000 --> 00:35:19,360 Speaker 1: you watch SpaceX last week when they launched. I slip 640 00:35:19,440 --> 00:35:23,600 Speaker 1: right through that. I did. I sleep on on the weekends, 641 00:35:23,640 --> 00:35:26,040 Speaker 1: but I did. I did watch some videos on YouTube 642 00:35:26,040 --> 00:35:29,600 Speaker 1: after the fact. And I have signed up, as I 643 00:35:29,640 --> 00:35:33,359 Speaker 1: said a while back, because of my pops. You can 644 00:35:33,400 --> 00:35:35,160 Speaker 1: sign up on a website and they will send you 645 00:35:35,200 --> 00:35:38,160 Speaker 1: a text message when the International Space Station is flying 646 00:35:38,200 --> 00:35:42,800 Speaker 1: over your part of the world. And it's pretty cool. Now, 647 00:35:43,160 --> 00:35:45,759 Speaker 1: sometimes it's only flying over for one minute. I'm gonna 648 00:35:45,760 --> 00:35:48,359 Speaker 1: tell you right now. Life tip. Okay, if you sign 649 00:35:48,440 --> 00:35:49,920 Speaker 1: up for this thing, to go out and look at 650 00:35:49,920 --> 00:35:52,759 Speaker 1: the International Space Station. If it's only flying over for 651 00:35:52,840 --> 00:35:55,120 Speaker 1: one minute, don't waste your time. Sometimes it flies over 652 00:35:55,200 --> 00:35:57,600 Speaker 1: for like five, six, seven minutes. Because I've determined it 653 00:35:57,600 --> 00:36:00,200 Speaker 1: takes about three minutes to figure out where of the 654 00:36:00,200 --> 00:36:03,359 Speaker 1: funk the thing is in the sky, so right or there, 655 00:36:03,400 --> 00:36:06,319 Speaker 1: you you gotta eliminate three minutes. So anything above like 656 00:36:06,560 --> 00:36:08,400 Speaker 1: five minutes, you're good because at least you get a 657 00:36:08,400 --> 00:36:10,200 Speaker 1: couple of good minutes. Check them out. But I love that, 658 00:36:10,800 --> 00:36:13,640 Speaker 1: And can you name all the planets in the Solar System. 659 00:36:13,680 --> 00:36:16,759 Speaker 1: Guess can you? Yeah, do you have enough time? Um? 660 00:36:16,880 --> 00:36:19,279 Speaker 1: Hold on? But I think the really hold on. I 661 00:36:19,280 --> 00:36:21,520 Speaker 1: think the way real quick. The real advantage too, is 662 00:36:21,560 --> 00:36:24,120 Speaker 1: if you're like in the desert like Arizona, or even 663 00:36:24,160 --> 00:36:26,600 Speaker 1: like Palm Desert, but like Arizona, like Phoenix or whatever, 664 00:36:27,440 --> 00:36:30,560 Speaker 1: and it's at nighttime, then you really got a great 665 00:36:30,640 --> 00:36:33,920 Speaker 1: chance of seeing the if if it's as powerful as 666 00:36:34,080 --> 00:36:37,240 Speaker 1: as it is, because they have they have some lights 667 00:36:37,280 --> 00:36:39,799 Speaker 1: on there that looked pretty much like a moving star. 668 00:36:39,960 --> 00:36:45,040 Speaker 1: Correct with that the International Space Station? Yeah, I mean, yeah, 669 00:36:45,200 --> 00:36:49,920 Speaker 1: it's pretty cool. And I you know, I was in 670 00:36:49,920 --> 00:36:52,319 Speaker 1: Orange County the last time I saw it, which is 671 00:36:52,320 --> 00:36:54,680 Speaker 1: a very red you know, big lights, you know, light 672 00:36:54,800 --> 00:36:57,319 Speaker 1: poison and all that. I saw it perfectly. I mean 673 00:36:57,360 --> 00:37:01,000 Speaker 1: it was I make it out. I didn't have you know, 674 00:37:01,400 --> 00:37:03,640 Speaker 1: I used we did have binoculars, but it wasn't like 675 00:37:04,000 --> 00:37:06,319 Speaker 1: they weren't like the expensive Benois. What time of day 676 00:37:06,400 --> 00:37:07,680 Speaker 1: was it? Was it like middle of the day or 677 00:37:07,719 --> 00:37:09,879 Speaker 1: afternoon or nighttime or something? Well, no, it flies over 678 00:37:09,920 --> 00:37:11,920 Speaker 1: either in the morning, usually at night. This was it 679 00:37:12,120 --> 00:37:15,640 Speaker 1: like eight eight o'clock at night, So it was eight 680 00:37:15,719 --> 00:37:19,160 Speaker 1: or eight eight thirty something like that. A new services 681 00:37:20,120 --> 00:37:24,359 Speaker 1: of parents have tried to bribe their child to get 682 00:37:24,400 --> 00:37:27,840 Speaker 1: them to stop doing this. What is it? Mm hmmm 683 00:37:30,280 --> 00:37:37,439 Speaker 1: uh picking their nose? Um, No, throwing a tantrum, having 684 00:37:37,480 --> 00:37:40,359 Speaker 1: a hissy fit, having a conniption fit. Right. I used 685 00:37:40,400 --> 00:37:42,400 Speaker 1: to have a bad habit as a kid throwing rocks. 686 00:37:44,040 --> 00:37:46,120 Speaker 1: Oh really, you're a hoodlum. Yeah. I used to throw 687 00:37:46,239 --> 00:37:48,920 Speaker 1: rocks all the time. My backyard was just filled with 688 00:37:49,040 --> 00:37:51,759 Speaker 1: rocks before you put grass in it. Were you breaking windows? 689 00:37:51,960 --> 00:37:56,319 Speaker 1: And I used to I was an asshole I had 690 00:37:56,440 --> 00:37:58,840 Speaker 1: I had a pretty good arms. I knew that I 691 00:37:58,840 --> 00:38:01,600 Speaker 1: had a pretty good arms that it. So instead of 692 00:38:01,640 --> 00:38:05,960 Speaker 1: throwing rocks at things, I would throw rocks sky high 693 00:38:06,000 --> 00:38:10,520 Speaker 1: into the air into other backyards and uh yeah, the 694 00:38:10,600 --> 00:38:14,520 Speaker 1: harder they come down on somebody. Man, it's just I 695 00:38:14,560 --> 00:38:16,279 Speaker 1: go running and hiding. But I used to get my 696 00:38:16,320 --> 00:38:20,880 Speaker 1: ass beat and well deserved us. My ass kicked for 697 00:38:20,960 --> 00:38:23,439 Speaker 1: throwing rocks. Did you did your old man ever beat 698 00:38:23,480 --> 00:38:25,280 Speaker 1: you up for your parking skills when he was teaching 699 00:38:25,400 --> 00:38:27,840 Speaker 1: how to park? No? No, but see he did confess 700 00:38:27,880 --> 00:38:30,520 Speaker 1: to me. Um at one time, he says, you gotta 701 00:38:30,960 --> 00:38:32,920 Speaker 1: you drive like I used to drive. You know. Oh, 702 00:38:32,960 --> 00:38:36,879 Speaker 1: it's genetic. It's genetic, which is funny because I don't 703 00:38:36,880 --> 00:38:39,239 Speaker 1: even remember how he used to drive. Remember how my 704 00:38:39,280 --> 00:38:41,200 Speaker 1: mom used to drive, but not him. So it's kind 705 00:38:41,200 --> 00:38:45,239 Speaker 1: of weird, but alright, pop quiz here we go continues. 706 00:38:45,360 --> 00:38:50,279 Speaker 1: In Sweden, they like to put pineapple and peanuts on 707 00:38:50,320 --> 00:38:57,080 Speaker 1: this classic food dish. Pizza is correct? Pineapple and peanuts 708 00:38:57,200 --> 00:39:00,360 Speaker 1: is a Swedish Oh no, no, actually no, and pizza. 709 00:39:00,400 --> 00:39:02,520 Speaker 1: Excuse me? I thought I thought that would be pizza. 710 00:39:03,080 --> 00:39:07,120 Speaker 1: I screwed up. Tacos. Oh man, tacos. They put pineapple 711 00:39:07,400 --> 00:39:10,200 Speaker 1: and peanuts on tacos. Have you ever had Have you 712 00:39:10,239 --> 00:39:13,560 Speaker 1: had tacos with mango? I'm not No, it's pretty good? 713 00:39:13,840 --> 00:39:16,520 Speaker 1: Is it good? Yeah? I love tacos, can't go wrong 714 00:39:16,560 --> 00:39:18,320 Speaker 1: with them. I like the green goat tacos though. I 715 00:39:18,360 --> 00:39:20,480 Speaker 1: like the crunchy tacos. I like them. Told by my 716 00:39:20,680 --> 00:39:23,720 Speaker 1: friends who are authentic that that's not the real taco. 717 00:39:23,760 --> 00:39:28,080 Speaker 1: I like street tacos. Yeah, well, I like street pretzels, 718 00:39:28,120 --> 00:39:32,000 Speaker 1: That's what I like. A new survey found that seven 719 00:39:32,280 --> 00:39:36,560 Speaker 1: out of ten Americans are worried that they'll never be 720 00:39:37,200 --> 00:39:41,839 Speaker 1: financially independent. Guess gun how about that seven out of ten, 721 00:39:43,080 --> 00:39:47,440 Speaker 1: I believe it. Yeah, that's especially now with what's been 722 00:39:47,480 --> 00:39:50,400 Speaker 1: going on this year. As far as the finances are concerned, 723 00:39:51,160 --> 00:39:54,040 Speaker 1: new report claims most of us will lose at least 724 00:39:54,239 --> 00:40:02,200 Speaker 1: three of these this year. What are they? Friends? Uh? No, forks? 725 00:40:03,320 --> 00:40:09,839 Speaker 1: All right, forks. That's pretty fucking random. In World War One, 726 00:40:10,120 --> 00:40:15,200 Speaker 1: this was known as the liberty sandwich. A ham sandwich. 727 00:40:17,560 --> 00:40:21,000 Speaker 1: Now close a hamburger, all right, So in World War One, 728 00:40:21,239 --> 00:40:25,319 Speaker 1: I'd like a liberty sandwich? Is that? So? You can? 729 00:40:25,360 --> 00:40:28,960 Speaker 1: You have a liberty sandwich with French fries? Though? Question? 730 00:40:29,560 --> 00:40:32,919 Speaker 1: Another freedom fries? Though? Are the freedom fries? Yeah? That's good. 731 00:40:33,120 --> 00:40:35,640 Speaker 1: Liberty sandwich and freedom fries to go. That's pretty down 732 00:40:35,719 --> 00:40:38,200 Speaker 1: good alright, last one on pop quiz and getting at 733 00:40:38,320 --> 00:40:41,680 Speaker 1: along here. The longest anyone's been able to do this 734 00:40:41,840 --> 00:40:45,600 Speaker 1: on a motorcycle was just over a hundred and twenty 735 00:40:45,880 --> 00:40:55,279 Speaker 1: five miles. Uh drive on one wheel? No? Um? Drive backwards? 736 00:40:56,840 --> 00:40:59,560 Speaker 1: How the funk would you drive a motorcycle backwards for 737 00:40:59,560 --> 00:41:02,160 Speaker 1: a hundred twenty five miles? More importantly, why the funk 738 00:41:02,160 --> 00:41:06,000 Speaker 1: would you drive a motorcycle backwards? No? Ship? And like, 739 00:41:06,160 --> 00:41:10,120 Speaker 1: how are you actually maneuvering that way backwards for Miles. 740 00:41:10,280 --> 00:41:13,920 Speaker 1: I don't know, I didn't do it, but that's pretty wild, 741 00:41:14,000 --> 00:41:17,440 Speaker 1: pretty wild. All right, that'll that'll be that. Thank you again. 742 00:41:17,640 --> 00:41:20,879 Speaker 1: Remember every day, tell a friend, spread the word. Word 743 00:41:20,880 --> 00:41:24,200 Speaker 1: of mouth advertising the most effective advertising. Follow us on 744 00:41:24,320 --> 00:41:29,160 Speaker 1: social media Twitter at Ben Mallard, Instagram, Ben Maller on 745 00:41:29,239 --> 00:41:35,680 Speaker 1: Fox Facebook, Ben Mallard Show, and cameo. Just look my 746 00:41:35,760 --> 00:41:39,040 Speaker 1: name him and if you don't c a m eo 747 00:41:39,280 --> 00:41:42,400 Speaker 1: dot com cameo. I am on there and I'm much cheaper, 748 00:41:42,400 --> 00:41:45,880 Speaker 1: by the way than my colleagues Clay Travis and Rob Parker. 749 00:41:46,160 --> 00:41:48,600 Speaker 1: I am. I'm giving you a deal. I am giving 750 00:41:48,640 --> 00:41:51,359 Speaker 1: the mallamlisha a deal on there for the video shout out. 751 00:41:51,400 --> 00:41:54,919 Speaker 1: How can people reach you? Gascon? Twitter at David Jay 752 00:41:55,000 --> 00:41:59,000 Speaker 1: Gascon just the letter J and then Instagram at Dave Gascon. 753 00:41:59,280 --> 00:42:01,680 Speaker 1: All right, we'll have a mailbag. We'll open up the 754 00:42:01,680 --> 00:42:04,120 Speaker 1: mail bag tomorrow, but have a great day. We'll catch 755 00:42:04,120 --> 00:42:04,640 Speaker 1: you next time.