1 00:00:00,880 --> 00:00:05,400 Speaker 1: Boom. If you thought four hours a day, minutes a 2 00:00:05,440 --> 00:00:09,119 Speaker 1: week was enough, I think again. He's the last remnants 3 00:00:09,119 --> 00:00:12,400 Speaker 1: of the old republic, a sole fashion of fairness. He 4 00:00:12,520 --> 00:00:15,440 Speaker 1: treats crackheads in the ghetto cutter the same as the 5 00:00:15,560 --> 00:00:19,560 Speaker 1: rich pill poppers in the penthouse, to clearing house of 6 00:00:19,560 --> 00:00:23,360 Speaker 1: hot takes, break free for something special. The Fifth Hour 7 00:00:23,520 --> 00:00:30,480 Speaker 1: with Ben Maller starts right now in the air everywhere. 8 00:00:30,600 --> 00:00:34,680 Speaker 1: That's right, the vast power of I heart the global 9 00:00:34,760 --> 00:00:39,560 Speaker 1: reach of podcasting. And we started this podcast by saying 10 00:00:39,600 --> 00:00:41,920 Speaker 1: that four hours were not enough in the four hours, 11 00:00:42,000 --> 00:00:44,120 Speaker 1: five days a week. But now this has become an 12 00:00:44,240 --> 00:00:50,040 Speaker 1: eight day a week situation because of the coronavirus from Wuhan, China. 13 00:00:50,080 --> 00:00:52,320 Speaker 1: See you think the folks over in Uhan, China for 14 00:00:52,400 --> 00:00:56,360 Speaker 1: helping us out here with this podcast every single day 15 00:00:56,400 --> 00:00:58,360 Speaker 1: plus an extra day. It's like an old Beatles song. 16 00:00:58,440 --> 00:01:02,200 Speaker 1: Eight days a week. And as always, for better or worse, 17 00:01:03,080 --> 00:01:06,280 Speaker 1: I am joined by the man who's affectionately known as 18 00:01:06,360 --> 00:01:12,360 Speaker 1: Gagon David Gascon. Ben, You've got to be careful because um, 19 00:01:12,480 --> 00:01:14,559 Speaker 1: we've got to make sure that whatever we talk about 20 00:01:14,600 --> 00:01:19,319 Speaker 1: today doesn't sound or feel like it's right wing or 21 00:01:19,360 --> 00:01:23,199 Speaker 1: it's some kind of Fox News propaganda, like we gotta 22 00:01:23,200 --> 00:01:28,800 Speaker 1: make sure that we curtail to the mass stream. Yes, 23 00:01:29,000 --> 00:01:31,679 Speaker 1: the masses are the mainstream that want us to go 24 00:01:32,640 --> 00:01:35,880 Speaker 1: either all one way or not the other way at all. 25 00:01:35,920 --> 00:01:38,360 Speaker 1: We've gotta make sure that our languages in line with 26 00:01:38,400 --> 00:01:41,840 Speaker 1: whatever people feel is best suited for them. So you 27 00:01:41,880 --> 00:01:45,360 Speaker 1: are forewarned as we continue on this dark path. I 28 00:01:45,400 --> 00:01:49,200 Speaker 1: didn't realize that we have. We offended one of the snowflakes, 29 00:01:49,200 --> 00:01:54,040 Speaker 1: So the snowflakes offended. Here we knock someone's sensibilities around here, 30 00:01:54,120 --> 00:01:57,240 Speaker 1: some privilege, little brat. Is that what has happened here? 31 00:01:57,280 --> 00:01:59,840 Speaker 1: I guess? But these are your followers though, so you 32 00:02:00,280 --> 00:02:06,520 Speaker 1: my father. I do just because I have had so 33 00:02:06,600 --> 00:02:09,359 Speaker 1: much bullshit that I I mean, I feel like I'm 34 00:02:09,400 --> 00:02:12,880 Speaker 1: like a high school counselor not just a radio host. 35 00:02:13,000 --> 00:02:17,560 Speaker 1: It's it's unbelievable. It's just a fucking radio show. And 36 00:02:17,600 --> 00:02:20,200 Speaker 1: I got I mean the drama. I like these people, 37 00:02:20,360 --> 00:02:22,600 Speaker 1: and I really mean I mean that I think they're 38 00:02:23,080 --> 00:02:24,440 Speaker 1: I know them a little bit. Some of these people 39 00:02:24,480 --> 00:02:28,760 Speaker 1: have met in real life. And it's just unreal. How 40 00:02:29,880 --> 00:02:32,680 Speaker 1: my world I have to wake up to seven emails 41 00:02:32,720 --> 00:02:35,160 Speaker 1: about I can't believe you allow that guy to say 42 00:02:35,200 --> 00:02:37,280 Speaker 1: this about this person, and then then the the other 43 00:02:37,320 --> 00:02:39,240 Speaker 1: side comes back to you know, you gotta bear in 44 00:02:39,280 --> 00:02:41,560 Speaker 1: this person. You know, it's it's like it's back and forth. 45 00:02:41,639 --> 00:02:44,760 Speaker 1: It never ends. I mean, I understand we're all going 46 00:02:44,760 --> 00:02:49,080 Speaker 1: through a ship storm right now, but please, it's just 47 00:02:49,360 --> 00:02:54,279 Speaker 1: an overnight radio show. You If somebody says something offensive, 48 00:02:54,600 --> 00:02:58,040 Speaker 1: who the fuck cares? All right? And I've tried to 49 00:02:58,080 --> 00:03:00,520 Speaker 1: get that message across, but there's so many people who 50 00:03:00,520 --> 00:03:02,239 Speaker 1: see I don't know whether they're unstable or not. I 51 00:03:02,280 --> 00:03:04,400 Speaker 1: don't know what the hell is going on, but I listen, 52 00:03:04,800 --> 00:03:08,560 Speaker 1: Just relax. It doesn't matter. You know, if some loser 53 00:03:09,040 --> 00:03:12,560 Speaker 1: in his mom's basement says something offensive, who cares you? 54 00:03:12,560 --> 00:03:15,640 Speaker 1: You don't. I was always raised you know, the sticks 55 00:03:15,639 --> 00:03:19,640 Speaker 1: and stones argument, guess on and you know it doesn't matter. 56 00:03:19,880 --> 00:03:23,600 Speaker 1: Names don't hurt you and all that stuff. And you 57 00:03:23,680 --> 00:03:29,240 Speaker 1: really give power to these people, and so you're you're 58 00:03:29,280 --> 00:03:33,799 Speaker 1: in creating a monster. You're you're empowering them. You're liberating 59 00:03:33,800 --> 00:03:38,839 Speaker 1: these these trolls that are out there. So stop. That's 60 00:03:38,880 --> 00:03:41,560 Speaker 1: my public service announced, But that's my raw rob speech. 61 00:03:41,640 --> 00:03:45,040 Speaker 1: Guests think you're enabling though the masses that that follow 62 00:03:45,080 --> 00:03:47,960 Speaker 1: your show, because what you're doing is you're it's like 63 00:03:48,000 --> 00:03:51,120 Speaker 1: you're corrupt traffic cop because you have the heroin addict 64 00:03:51,120 --> 00:03:53,680 Speaker 1: on one side and you have the drug pushers on 65 00:03:53,720 --> 00:03:56,960 Speaker 1: the other, and so you confiscate the paraphernalia from the 66 00:03:57,040 --> 00:03:59,960 Speaker 1: drug users and you give it back to the distribut 67 00:04:00,520 --> 00:04:03,760 Speaker 1: and then you push repeat on the spin cycle. And 68 00:04:05,280 --> 00:04:07,960 Speaker 1: a radio show, I don't want to be boring. I 69 00:04:07,960 --> 00:04:11,120 Speaker 1: I think that these people spice it up. The characters 70 00:04:11,160 --> 00:04:13,800 Speaker 1: on the show, I find them appealing, and I I 71 00:04:14,480 --> 00:04:17,599 Speaker 1: think it makes the show better, makes it more interesting 72 00:04:17,680 --> 00:04:19,480 Speaker 1: to listen to. I don't want to do a boring, 73 00:04:19,560 --> 00:04:22,880 Speaker 1: benign radio show that is garbage. I try to avoid that. 74 00:04:23,600 --> 00:04:27,080 Speaker 1: These characters have a lot of enthusiasm. They also say 75 00:04:27,080 --> 00:04:29,440 Speaker 1: a lot of ridiculous things which I just I don't 76 00:04:29,480 --> 00:04:31,360 Speaker 1: pay attention to, But apparently a lot of people pay 77 00:04:31,400 --> 00:04:36,919 Speaker 1: attention to it, and it's overpowering and overwhelming and they 78 00:04:37,040 --> 00:04:39,719 Speaker 1: can't handle it, which bothers me because I don't the 79 00:04:39,760 --> 00:04:42,520 Speaker 1: way I consume the show doing the show and the 80 00:04:42,520 --> 00:04:45,200 Speaker 1: way the listener consumes there. And I will tell you 81 00:04:45,200 --> 00:04:47,719 Speaker 1: guess it's probably a small percentage. It's probably just a 82 00:04:47,720 --> 00:04:53,440 Speaker 1: small percentage, but it's a very loud, voiceterous percentage. So 83 00:04:53,480 --> 00:04:55,000 Speaker 1: I think what we should do here, and I think 84 00:04:55,040 --> 00:04:59,400 Speaker 1: you'd agree with me, is have some Mallard militia safe spaces. 85 00:04:59,480 --> 00:05:01,880 Speaker 1: What do you say, how about that? Would that be good? No? 86 00:05:02,200 --> 00:05:04,640 Speaker 1: That would you know? You might as well put a 87 00:05:04,680 --> 00:05:07,240 Speaker 1: little bow on somebody. You might put a dress on 88 00:05:07,320 --> 00:05:09,599 Speaker 1: somebody and just put him in the corner and say 89 00:05:09,680 --> 00:05:12,520 Speaker 1: don't talk for the next month. Month we just hand 90 00:05:12,560 --> 00:05:15,840 Speaker 1: out like warm blankets and a like a glass of milk. 91 00:05:15,880 --> 00:05:17,920 Speaker 1: How about that? Would that be good? You're gonna make 92 00:05:17,920 --> 00:05:20,880 Speaker 1: sure that soy milk. Oh, it's gonna be milk. Yeah, 93 00:05:20,920 --> 00:05:25,080 Speaker 1: that's right, lactose. And we don't want anything like I got. 94 00:05:25,240 --> 00:05:27,400 Speaker 1: I got the Mallem Militia, and then I got a 95 00:05:27,440 --> 00:05:30,720 Speaker 1: branch of the Mallem Militia. But tune that is, uh 96 00:05:30,880 --> 00:05:34,240 Speaker 1: is the snowflake army I got. So I don't I 97 00:05:34,240 --> 00:05:35,720 Speaker 1: don't know what to do with this. I mean, I just, 98 00:05:35,760 --> 00:05:37,599 Speaker 1: I mean, really, you can get that upset by some 99 00:05:37,760 --> 00:05:39,920 Speaker 1: dope that calls a show for five minutes or three 100 00:05:39,920 --> 00:05:41,799 Speaker 1: minutes or whatever the hell it is. I mean, jeez, 101 00:05:41,839 --> 00:05:44,279 Speaker 1: what are we telling? This is what happens when you're 102 00:05:44,320 --> 00:05:48,280 Speaker 1: stuck inside all day and you can't do anything about it. 103 00:05:48,520 --> 00:05:50,839 Speaker 1: I got in fairness to the people that are being 104 00:05:50,880 --> 00:05:53,839 Speaker 1: triggered and all that right now. I have had this 105 00:05:53,920 --> 00:05:58,880 Speaker 1: happen when things were normal, So every couple of years. 106 00:05:58,920 --> 00:06:01,919 Speaker 1: It must be some kind of ingredient that I'm putting 107 00:06:01,920 --> 00:06:05,839 Speaker 1: in the show here that is causing a certain percentage 108 00:06:05,839 --> 00:06:08,960 Speaker 1: of people to become neurotic. I don't know what it is, 109 00:06:09,080 --> 00:06:11,839 Speaker 1: but if you, if you know, let me know. Now. 110 00:06:11,880 --> 00:06:14,880 Speaker 1: How about this though, for anyone that that wants to 111 00:06:14,920 --> 00:06:20,120 Speaker 1: provide any kind of tutorial or instructional um, any kind 112 00:06:20,160 --> 00:06:23,720 Speaker 1: of instruction on how or what we should say, I 113 00:06:23,760 --> 00:06:25,960 Speaker 1: think you would agree with me. Ben then when I 114 00:06:26,040 --> 00:06:29,039 Speaker 1: say this that they can kiss my ass because oh yeah, 115 00:06:29,120 --> 00:06:33,720 Speaker 1: I don't care exactly. There's an off button you've obviously, 116 00:06:34,120 --> 00:06:37,279 Speaker 1: especially with a podcast. You know, sometimes people still stumble 117 00:06:37,320 --> 00:06:39,640 Speaker 1: on the radio show and they're they've never heard it. 118 00:06:39,680 --> 00:06:42,720 Speaker 1: They just scan the radio dial. There's no way you 119 00:06:42,760 --> 00:06:46,360 Speaker 1: can consume this podcast, not a single way unless you 120 00:06:46,480 --> 00:06:50,960 Speaker 1: made the effort to a find it and be downloaded 121 00:06:51,120 --> 00:06:55,440 Speaker 1: and then see click the play button. So three things 122 00:06:55,520 --> 00:06:57,440 Speaker 1: you had to do to find the podcast. And if 123 00:06:57,480 --> 00:07:00,440 Speaker 1: you're that offended by anything you say, that's fine. Offended, 124 00:07:00,680 --> 00:07:03,440 Speaker 1: don't listen. I don't give a fuck. We'll do the podcast. 125 00:07:03,480 --> 00:07:06,760 Speaker 1: Other people are gonna listen. That's fine. I'd like everyone 126 00:07:06,800 --> 00:07:08,520 Speaker 1: to listen. I don't think that we are, you know, 127 00:07:08,560 --> 00:07:11,080 Speaker 1: going off the deep end and anything we say, but 128 00:07:11,240 --> 00:07:13,560 Speaker 1: the train doesn't stop moving, you know. And I always 129 00:07:13,560 --> 00:07:16,080 Speaker 1: love these listeners are like, well, your show will suck 130 00:07:16,120 --> 00:07:19,040 Speaker 1: without me. I heard it from all these guys we 131 00:07:19,040 --> 00:07:22,600 Speaker 1: we have. It's generations of people that contribute the show. 132 00:07:22,600 --> 00:07:25,040 Speaker 1: And now I wish everyone would listen forever, like Cowboy 133 00:07:25,160 --> 00:07:28,040 Speaker 1: John Brad and Windsor and Doc Mike, who have been 134 00:07:28,080 --> 00:07:30,280 Speaker 1: with me for twenty plus years listening to the show. 135 00:07:30,320 --> 00:07:33,120 Speaker 1: And these guys started they were in their late forties. 136 00:07:33,160 --> 00:07:35,320 Speaker 1: Now they're in their sixties seventies, and they've been with 137 00:07:35,320 --> 00:07:38,040 Speaker 1: me a long time. And I love it. But the 138 00:07:38,120 --> 00:07:41,000 Speaker 1: reality is that most of the hardcore listeners listen for 139 00:07:41,040 --> 00:07:43,360 Speaker 1: a while and then they either grow out of it 140 00:07:43,440 --> 00:07:46,120 Speaker 1: because they're young guys and they find a lady friend, 141 00:07:46,120 --> 00:07:48,440 Speaker 1: they get married, they have kids, they can't listen anymore, 142 00:07:48,400 --> 00:07:53,200 Speaker 1: and they've they've come podcast listeners, or or the job changes. 143 00:07:53,240 --> 00:07:56,360 Speaker 1: There's a lot of reasons people stop listening and contributing 144 00:07:56,400 --> 00:07:59,120 Speaker 1: to the show. But the idea some of these guys 145 00:07:59,160 --> 00:08:01,320 Speaker 1: have such big heads of oh you're you're so will 146 00:08:01,360 --> 00:08:04,360 Speaker 1: suck without me, know, it'd be fine. Pete and Pittsburgh 147 00:08:04,400 --> 00:08:06,960 Speaker 1: said that, you know, some of the old guard Motor 148 00:08:07,000 --> 00:08:09,840 Speaker 1: City Mike, one of my callers back in the day. 149 00:08:09,920 --> 00:08:12,400 Speaker 1: We've had We've had some real characters they've called the show, 150 00:08:12,680 --> 00:08:14,440 Speaker 1: and I loved all of them. They were great. They 151 00:08:14,440 --> 00:08:15,920 Speaker 1: helped me out and they help me get to where 152 00:08:15,960 --> 00:08:18,520 Speaker 1: I am right now. But it's the ebb and flow 153 00:08:18,720 --> 00:08:20,840 Speaker 1: that that goes on, and I think the best part 154 00:08:20,880 --> 00:08:24,880 Speaker 1: about that is it's the revolving pipeline. So when some leave, 155 00:08:25,560 --> 00:08:28,760 Speaker 1: newbies come in, and then they established themselves and they 156 00:08:28,960 --> 00:08:31,720 Speaker 1: leave and dubies come in. It's kind of like, um, 157 00:08:32,120 --> 00:08:35,120 Speaker 1: college is supposed to be, right, you know. It's the 158 00:08:35,120 --> 00:08:37,960 Speaker 1: great thing about college is that every few years it 159 00:08:38,320 --> 00:08:41,080 Speaker 1: cycles over and people leave and there's new people that 160 00:08:41,160 --> 00:08:43,440 Speaker 1: come in, and then that's kind of what happens with 161 00:08:43,480 --> 00:08:46,080 Speaker 1: the radio show. But just like in college, every once 162 00:08:46,080 --> 00:08:48,280 Speaker 1: in a while, there's that person that has tenure that 163 00:08:48,400 --> 00:08:51,400 Speaker 1: stays there forever and uh and just never leave. Yeah, 164 00:08:51,559 --> 00:08:57,880 Speaker 1: shout out Harvard, Princeton, Stanford right now, So be sure 165 00:08:57,880 --> 00:09:00,040 Speaker 1: to catch live editions of The Ben Maller Show a 166 00:09:00,120 --> 00:09:03,400 Speaker 1: weekdays at two am Eastern eleven p m Pacific on 167 00:09:03,480 --> 00:09:06,680 Speaker 1: Fox Sports Radio and the I Heart Radio app. All right, 168 00:09:06,720 --> 00:09:09,400 Speaker 1: So we have v I P Status Denied the Mad 169 00:09:09,520 --> 00:09:13,120 Speaker 1: Hatter of Sports Chatter. Study this, and we also have 170 00:09:13,200 --> 00:09:15,640 Speaker 1: pop Quiz, which is becoming my new favorite bit on 171 00:09:15,679 --> 00:09:17,559 Speaker 1: the podcast Pop Quiz. I'm a big fan of the 172 00:09:17,600 --> 00:09:22,719 Speaker 1: POPU have. I think it's funny. Whether you do well 173 00:09:22,800 --> 00:09:24,440 Speaker 1: or not, for the listener, you can play along. So 174 00:09:24,440 --> 00:09:25,679 Speaker 1: I think it's a lot of fun. So let's get 175 00:09:25,760 --> 00:09:28,120 Speaker 1: right to it. So v I P Status. So I 176 00:09:28,280 --> 00:09:31,199 Speaker 1: get a text the other day, and I didn't talk 177 00:09:31,200 --> 00:09:34,920 Speaker 1: about this on the radio show. My friend Marlin's man, 178 00:09:35,440 --> 00:09:39,920 Speaker 1: the number one celebrity fan in America. He sends me 179 00:09:39,960 --> 00:09:42,920 Speaker 1: a text, and I had not talked to him in 180 00:09:42,960 --> 00:09:47,079 Speaker 1: a while. And uh, now his real names is Eugene 181 00:09:47,240 --> 00:09:51,640 Speaker 1: and and so he sends me a message and whatever. 182 00:09:51,760 --> 00:09:56,439 Speaker 1: And and he was at the airport in Miami and 183 00:09:56,520 --> 00:10:01,000 Speaker 1: he was waiting for a flight to Jackson. You know 184 00:10:01,240 --> 00:10:05,080 Speaker 1: this week gas gun, which you know, no one's flying anywhere. 185 00:10:05,120 --> 00:10:07,960 Speaker 1: And he the reason. He texts me, he he was 186 00:10:08,000 --> 00:10:12,040 Speaker 1: at the terminal in the airport in Miami where he lives, 187 00:10:12,040 --> 00:10:15,520 Speaker 1: waiting for his flight, and he said he was the 188 00:10:15,559 --> 00:10:21,720 Speaker 1: only person in the entire terminal that was traveling in Miami. 189 00:10:21,840 --> 00:10:26,239 Speaker 1: This was Tuesday, I think of this week. Correct. Yeah, 190 00:10:26,280 --> 00:10:28,920 Speaker 1: it's great. Yeah, he's like it was like a Twilight 191 00:10:29,000 --> 00:10:33,359 Speaker 1: Zone episode. I mean, think about the air travel industry 192 00:10:33,480 --> 00:10:36,280 Speaker 1: and now we have friends that work in the air 193 00:10:36,320 --> 00:10:38,240 Speaker 1: travel business, but I think most of us are like 194 00:10:38,280 --> 00:10:41,280 Speaker 1: they've been gouging their customers for years, and now they're 195 00:10:41,280 --> 00:10:43,960 Speaker 1: come up in this is the coronavirus, where suddenly no 196 00:10:44,000 --> 00:10:46,280 Speaker 1: one wants to fly in their planes, and maybe you 197 00:10:46,280 --> 00:10:48,280 Speaker 1: should treat the customer a little bit better in the 198 00:10:48,320 --> 00:10:52,360 Speaker 1: future and not gouge them for baggage free fees and 199 00:10:52,400 --> 00:10:54,760 Speaker 1: all that other bullshit that they put in there. But 200 00:10:54,760 --> 00:10:56,600 Speaker 1: but it was while he's so, he sent me a 201 00:10:56,640 --> 00:11:00,679 Speaker 1: photo and you know, sure enough, the whole sucking airport 202 00:11:00,800 --> 00:11:03,400 Speaker 1: was empty. It was unbelievable. It's like it's kind of 203 00:11:03,400 --> 00:11:05,880 Speaker 1: like when you go to an airport where they, you know, overnight, 204 00:11:05,960 --> 00:11:08,520 Speaker 1: some airports don't have flights that land or take off, 205 00:11:08,520 --> 00:11:11,000 Speaker 1: you know, because of restrictions. And it's like you'd be 206 00:11:11,000 --> 00:11:12,600 Speaker 1: in the airport in the middle of the night, there's 207 00:11:12,600 --> 00:11:15,160 Speaker 1: no one there and uh and it was pretty crazy. 208 00:11:15,160 --> 00:11:17,160 Speaker 1: And then he he the real reason I brought this 209 00:11:17,240 --> 00:11:21,680 Speaker 1: up is that my friend Marlin's Man lamented the lack 210 00:11:21,960 --> 00:11:26,960 Speaker 1: of baseball, right we're talking about that, and he told me, though, 211 00:11:27,000 --> 00:11:29,360 Speaker 1: this is what this was killed me, guest gun. So 212 00:11:29,440 --> 00:11:31,320 Speaker 1: Marlins Man is like he was like, he's like, I'm 213 00:11:31,320 --> 00:11:34,439 Speaker 1: really bummed out because I had planned a bunch of surprises, 214 00:11:35,120 --> 00:11:38,160 Speaker 1: uh for you this year and he was he he 215 00:11:38,160 --> 00:11:39,800 Speaker 1: had told me he had a bunch of Dodger games 216 00:11:39,840 --> 00:11:42,040 Speaker 1: that he was gonna go to, you know, Sunday night 217 00:11:42,080 --> 00:11:45,400 Speaker 1: games or whatever behind home plate. And he said I 218 00:11:45,480 --> 00:11:49,520 Speaker 1: was gonna be a special guest first row behind home 219 00:11:49,559 --> 00:11:52,280 Speaker 1: plate at the All Star Game that was scheduled to 220 00:11:52,320 --> 00:11:56,160 Speaker 1: be played at Dodger State. Oh guess god, I could 221 00:11:56,200 --> 00:11:58,520 Speaker 1: have been in the front row that goddamn All Star 222 00:11:58,640 --> 00:12:02,079 Speaker 1: Game with Marlins in. And now there's even no All 223 00:12:02,120 --> 00:12:04,400 Speaker 1: Star Game at Dodger Stadium the way that it should 224 00:12:04,400 --> 00:12:08,080 Speaker 1: have been this year. Oh my god, there's there's only one. 225 00:12:08,480 --> 00:12:11,040 Speaker 1: There's only one way that you can recruit from something 226 00:12:11,120 --> 00:12:13,960 Speaker 1: like this, and that's if he hooks you up with 227 00:12:14,040 --> 00:12:16,400 Speaker 1: some tickets to a game one or two of the 228 00:12:16,440 --> 00:12:18,679 Speaker 1: World Series of the Dodgers in it and you're behind 229 00:12:18,679 --> 00:12:21,640 Speaker 1: home play with him. Yeah. Well, he's told me like, 230 00:12:21,679 --> 00:12:24,079 Speaker 1: if the Dodgers get back to the World Series, He's like, 231 00:12:24,480 --> 00:12:26,839 Speaker 1: you're my guy, you know, and and all that things. 232 00:12:27,000 --> 00:12:31,319 Speaker 1: So h that hurts though. That's a blow, man. I 233 00:12:31,320 --> 00:12:33,679 Speaker 1: have only been to the All Star Game. I think 234 00:12:33,679 --> 00:12:36,720 Speaker 1: I've been a one as a kid. I want my 235 00:12:36,800 --> 00:12:39,120 Speaker 1: dad to the All Star Game. When Bo Jackson hit 236 00:12:39,120 --> 00:12:41,160 Speaker 1: a home run to center field. I think it was 237 00:12:41,200 --> 00:12:44,120 Speaker 1: eighty nine, the All Star Game in Anaheim at the 238 00:12:44,120 --> 00:12:46,680 Speaker 1: Big A and and you have great memories of that. 239 00:12:46,720 --> 00:12:48,320 Speaker 1: And I like the All Star gum. I know it 240 00:12:48,320 --> 00:12:50,600 Speaker 1: doesn't count for anything and all that, but to think 241 00:12:50,600 --> 00:12:52,439 Speaker 1: you could be the front row at the All Star Game, 242 00:12:52,480 --> 00:12:54,600 Speaker 1: I could have been a damn front row throw the 243 00:12:54,640 --> 00:12:58,560 Speaker 1: coronavirus all right? Now, does that does that mean that 244 00:12:58,640 --> 00:13:02,320 Speaker 1: your invitation to his holiday parties are now canceled as well? 245 00:13:02,400 --> 00:13:05,280 Speaker 1: Or now yeah, he has invited me. Yeah, well, I'm 246 00:13:05,320 --> 00:13:07,760 Speaker 1: assuming he's not gonna have a party. I won't hope 247 00:13:07,760 --> 00:13:09,760 Speaker 1: we can have our party by the end of the year, 248 00:13:09,920 --> 00:13:14,040 Speaker 1: the Mallard Ugly Sweater party. But that's up in the air. 249 00:13:14,120 --> 00:13:17,880 Speaker 1: It's really depending on how society adjust and all that stuff. 250 00:13:17,880 --> 00:13:21,160 Speaker 1: So but my dreams of being behind the velvet ropes 251 00:13:21,200 --> 00:13:24,080 Speaker 1: at the All Star Game are now in the penalty box. 252 00:13:24,160 --> 00:13:26,880 Speaker 1: So I want to pass that on now. As far 253 00:13:26,920 --> 00:13:30,240 Speaker 1: as the mad Hatter of Sports Chatter, as you referenced 254 00:13:30,240 --> 00:13:33,920 Speaker 1: in a previous edition of the Fifth Hour podcast when 255 00:13:33,960 --> 00:13:37,360 Speaker 1: the one we had sports Talk Barry on um, let 256 00:13:37,360 --> 00:13:40,240 Speaker 1: me point out here all right that I have started, 257 00:13:41,440 --> 00:13:46,240 Speaker 1: at the request of management Fox, of making some video content. 258 00:13:46,400 --> 00:13:48,680 Speaker 1: I have a camera in my little remote studio here 259 00:13:49,360 --> 00:13:53,280 Speaker 1: that I have put in at the request of Elijah 260 00:13:53,360 --> 00:13:56,319 Speaker 1: are Fine, I T Guy and some of the management people. 261 00:13:56,400 --> 00:13:58,760 Speaker 1: So they've asked me to record certain parts of the 262 00:13:58,800 --> 00:14:01,400 Speaker 1: show that they can put the YouTube channel and all 263 00:14:01,440 --> 00:14:07,040 Speaker 1: this stuff. I know, I know, you're about like a 264 00:14:07,120 --> 00:14:10,520 Speaker 1: volcano bubbling up ready to explode, But one of my 265 00:14:10,600 --> 00:14:13,720 Speaker 1: nicknames is the mad Hatter of Sports Chatter, and so 266 00:14:14,360 --> 00:14:17,920 Speaker 1: my goal, because listen, I'm not getting paid to do 267 00:14:18,000 --> 00:14:20,560 Speaker 1: the videos or anything like that. It's just an added 268 00:14:20,680 --> 00:14:23,440 Speaker 1: add on, like an added bonus. So my goal is 269 00:14:23,480 --> 00:14:25,880 Speaker 1: to wear a new hat every day, like a different 270 00:14:26,000 --> 00:14:30,360 Speaker 1: hat every day on the videos. And I've got a 271 00:14:30,400 --> 00:14:34,680 Speaker 1: pretty massive hat collection from years of doing radio. People 272 00:14:34,720 --> 00:14:38,000 Speaker 1: have sent me hats, I bought hats, and so it's 273 00:14:38,040 --> 00:14:43,280 Speaker 1: a pretty good combination of hats. And I also would 274 00:14:43,280 --> 00:14:47,520 Speaker 1: like what my goal is is to support businesses. You're 275 00:14:47,560 --> 00:14:50,000 Speaker 1: just talking about, you know, mom and pop businesses and 276 00:14:50,080 --> 00:14:53,320 Speaker 1: how bad it is right now, but like privately owned businesses, 277 00:14:53,400 --> 00:14:56,400 Speaker 1: like for example, the other day, um My, my guy 278 00:14:56,520 --> 00:14:58,880 Speaker 1: ed and spoke can he had given me a hat 279 00:14:59,080 --> 00:15:03,240 Speaker 1: from his land escaping company, which is Washington Lawn Service, 280 00:15:04,000 --> 00:15:06,080 Speaker 1: lawn Services or whatever it is, And so I wore 281 00:15:06,160 --> 00:15:09,560 Speaker 1: that hat, and you know, it's just a little little tribute, 282 00:15:09,880 --> 00:15:12,520 Speaker 1: a little tribute that I would like to do. So 283 00:15:12,640 --> 00:15:14,640 Speaker 1: if you're interested in that, if you work at like 284 00:15:14,680 --> 00:15:17,040 Speaker 1: a warehouse, you guys have a certain hat I'd love 285 00:15:17,080 --> 00:15:19,360 Speaker 1: to get, like truck driver hats, like the trucker hatsles 286 00:15:19,360 --> 00:15:22,960 Speaker 1: are pretty cool. Restaurants, mom and pop restaurants, you name it, 287 00:15:23,680 --> 00:15:26,640 Speaker 1: pretty much anything with a few exceptions, I will be 288 00:15:26,680 --> 00:15:28,360 Speaker 1: willing to wear. The only problem is I have a 289 00:15:28,400 --> 00:15:30,960 Speaker 1: massive head. Is you know, guest Gun, big brain, big head, 290 00:15:31,240 --> 00:15:33,680 Speaker 1: and so it's a size eight. So if it's not 291 00:15:33,760 --> 00:15:36,600 Speaker 1: a big hat, it won't fit, which is a problem. 292 00:15:36,760 --> 00:15:40,080 Speaker 1: But the cool thing is these videos, much to my dismay, 293 00:15:40,160 --> 00:15:43,120 Speaker 1: or seen, you know, thousands and thousands of times on 294 00:15:43,160 --> 00:15:47,000 Speaker 1: the YouTube channel with different platforms, the various platforms. Yes, 295 00:15:47,080 --> 00:15:50,120 Speaker 1: now here's guest guns counter argument the other side of 296 00:15:50,120 --> 00:15:51,720 Speaker 1: the album. I don't I don't know. I don't have 297 00:15:51,880 --> 00:15:55,840 Speaker 1: a counter argument to that. I think it's a wonderful idea. 298 00:15:56,680 --> 00:15:59,200 Speaker 1: I think it's fascinating that we as a company have 299 00:15:59,280 --> 00:16:01,320 Speaker 1: decided to do at that this time of the year. 300 00:16:01,400 --> 00:16:05,240 Speaker 1: I think that it's amazing that you know that the 301 00:16:05,280 --> 00:16:09,200 Speaker 1: powers that be have have acclimated to this in such 302 00:16:09,240 --> 00:16:13,520 Speaker 1: a timely fashion. So I think that you have responded accordingly. 303 00:16:13,960 --> 00:16:17,640 Speaker 1: I am. I'm encouraged by the hats though, especially because 304 00:16:17,680 --> 00:16:20,280 Speaker 1: you can go. I don't know about you, but I'm 305 00:16:20,320 --> 00:16:23,720 Speaker 1: always a big fan of minor league baseball. Yes, yes, 306 00:16:23,800 --> 00:16:27,000 Speaker 1: I will be wearing this. I know this is like 307 00:16:27,040 --> 00:16:29,760 Speaker 1: a knife assault in an open wound here, knife in 308 00:16:29,760 --> 00:16:32,880 Speaker 1: the back, but I have the Baker's Field Blaze hat 309 00:16:32,960 --> 00:16:36,280 Speaker 1: I will be wearing. Yeah, I know it's a great hat. 310 00:16:36,640 --> 00:16:39,040 Speaker 1: You have the sixties sixers Rue two right in in 311 00:16:39,160 --> 00:16:41,120 Speaker 1: sam you know, Yeah, I got for me throughout the 312 00:16:41,120 --> 00:16:44,520 Speaker 1: first push there. I have a Lanca, I have jat Hawks, 313 00:16:44,600 --> 00:16:48,880 Speaker 1: Yes the lank was it Mike Casters right, I have. 314 00:16:49,560 --> 00:16:52,440 Speaker 1: I was in Indianapolis. I went to an Indianapolis Indians 315 00:16:52,520 --> 00:16:54,680 Speaker 1: game years ago when we were there. I got one 316 00:16:54,680 --> 00:16:56,520 Speaker 1: of those hats. It's probably an old hat. Now they 317 00:16:56,520 --> 00:16:58,560 Speaker 1: don't wear that anymore. So I have a few of those. 318 00:16:58,640 --> 00:17:00,600 Speaker 1: Have a Viro Beach Dodgers from when I was in 319 00:17:00,720 --> 00:17:04,200 Speaker 1: Vero Beach. H That's pretty cool. That's pretty neat one. 320 00:17:04,240 --> 00:17:06,439 Speaker 1: So yeah, I got road teeth these and all, you know, 321 00:17:06,600 --> 00:17:10,320 Speaker 1: But I really the goal is to help promote some 322 00:17:10,480 --> 00:17:12,920 Speaker 1: of these businesses. You know. I know it's a small 323 00:17:13,000 --> 00:17:14,840 Speaker 1: thing and maybe it won't do anything for you, but 324 00:17:14,920 --> 00:17:17,160 Speaker 1: it could, you know, it could. And so if you're 325 00:17:17,160 --> 00:17:21,280 Speaker 1: interested in that, you can email me or just send 326 00:17:21,320 --> 00:17:24,720 Speaker 1: it into the care of the Ben Miller Show at 327 00:17:24,800 --> 00:17:29,840 Speaker 1: Fox Sports Radio. The address, what happened? What happens if 328 00:17:29,880 --> 00:17:32,560 Speaker 1: they mail it in, Well, I'm gonna have to then 329 00:17:32,920 --> 00:17:39,520 Speaker 1: go to pick it up. Amazing. Yeah, I'm gonna have 330 00:17:39,560 --> 00:17:42,840 Speaker 1: to make the pilgrimage to better hope someone doesn't put 331 00:17:42,880 --> 00:17:45,520 Speaker 1: to the care of David Gascon. Unfortunately, you know, I 332 00:17:45,520 --> 00:17:48,119 Speaker 1: don't put the guest. Don't know. Guess I'll take the 333 00:17:48,119 --> 00:17:50,440 Speaker 1: hat and you'll never see. Remember how triggered you were? 334 00:17:50,520 --> 00:17:56,160 Speaker 1: Who sent you Omaha steaks? Oh yeah, there was I remember? 335 00:17:56,200 --> 00:17:59,400 Speaker 1: That was that our guy in uh in Nashville who 336 00:17:59,440 --> 00:18:01,640 Speaker 1: sent us? Though I think it was that manic Mike 337 00:18:01,680 --> 00:18:03,800 Speaker 1: that hooked U something he forget. Yeah, it was Mike 338 00:18:03,960 --> 00:18:07,679 Speaker 1: because because Fats sent you, Fats sent you something else, right, 339 00:18:07,720 --> 00:18:10,119 Speaker 1: he sent you a bunch of snacks. Oh yeah, Fats 340 00:18:10,119 --> 00:18:14,800 Speaker 1: sent us the Philly Man Fats. Oh god, that was awesome. Pretzels, 341 00:18:15,560 --> 00:18:20,119 Speaker 1: the tasty cakes. That was I love that. That was great. 342 00:18:20,240 --> 00:18:24,200 Speaker 1: I love Philadelphia food man. That's the greatest Philadelphia, Kansas City, 343 00:18:24,320 --> 00:18:28,280 Speaker 1: great food cities. Yeah, when Mike sent those Omaha steaks, 344 00:18:28,520 --> 00:18:32,840 Speaker 1: I uh, I could I could feel your tension through 345 00:18:32,840 --> 00:18:37,320 Speaker 1: a text message. You're so fucking well. Let's let me 346 00:18:37,320 --> 00:18:41,040 Speaker 1: explain that full disclosure, all right, Like I the mail room, 347 00:18:41,440 --> 00:18:43,680 Speaker 1: I have had a love hate relationship with the Fox 348 00:18:43,720 --> 00:18:46,879 Speaker 1: Sports Radio mail room because over the years, then the 349 00:18:46,960 --> 00:18:52,400 Speaker 1: famous story about Doc Mike, he probably fifteen years ago, 350 00:18:52,520 --> 00:18:56,560 Speaker 1: or So sent a goat head to Fox Sports Radio 351 00:18:56,680 --> 00:18:59,000 Speaker 1: and it went through the mail room at the Premiere Networks, 352 00:18:59,680 --> 00:19:03,280 Speaker 1: and apparently there was blood that came out of the box, 353 00:19:04,440 --> 00:19:08,240 Speaker 1: and uh you know, everyone went defcon one. And I 354 00:19:08,320 --> 00:19:11,560 Speaker 1: understand why they went DevCon one. They thought that this 355 00:19:11,680 --> 00:19:14,199 Speaker 1: somehow was like they could have been a body, like 356 00:19:14,240 --> 00:19:17,120 Speaker 1: a human body. They didn't know what it was they 357 00:19:17,400 --> 00:19:19,200 Speaker 1: and so it became this big to do. I got 358 00:19:19,200 --> 00:19:21,040 Speaker 1: in trouble that I don't know how I would get 359 00:19:21,040 --> 00:19:22,960 Speaker 1: in trouble for that. I didn't tell him to send 360 00:19:22,960 --> 00:19:25,840 Speaker 1: the goat head. He just set me a fucking bloody 361 00:19:25,840 --> 00:19:27,440 Speaker 1: goat heead why don't you clean the blood off the 362 00:19:27,520 --> 00:19:30,480 Speaker 1: damn thing? And uh so that I was. I was 363 00:19:30,560 --> 00:19:33,040 Speaker 1: banned from getting mail for a while, and they would 364 00:19:33,080 --> 00:19:35,520 Speaker 1: not deliver the mail to me. They had I had 365 00:19:35,520 --> 00:19:37,200 Speaker 1: to go to a different place to get the mail. 366 00:19:37,280 --> 00:19:40,080 Speaker 1: So that was frustrating. But I've had a pretty good 367 00:19:40,119 --> 00:19:43,080 Speaker 1: relationship with them since. But my main concern is I 368 00:19:43,119 --> 00:19:45,080 Speaker 1: don't go to the mail room very much at all, 369 00:19:45,600 --> 00:19:48,879 Speaker 1: and so Coop gets the mail and I very rarely 370 00:19:48,920 --> 00:19:51,119 Speaker 1: get to open up the mail. The only mail Coop 371 00:19:51,240 --> 00:19:53,840 Speaker 1: doesn't open is the letter from prison. I have guys 372 00:19:53,840 --> 00:19:55,720 Speaker 1: in prison that's that are pent pals that send me 373 00:19:55,800 --> 00:19:58,359 Speaker 1: letters and stuff, and he doesn't touch those. But like 374 00:19:58,400 --> 00:20:01,399 Speaker 1: any box, coople, open up, like if it's my name's 375 00:20:01,400 --> 00:20:03,920 Speaker 1: on it, like and like open down up in my mail. 376 00:20:04,080 --> 00:20:06,800 Speaker 1: I like copening mail. It's fun to open mail. If 377 00:20:06,840 --> 00:20:08,720 Speaker 1: you don't know what's inside, it's cool. Even when you 378 00:20:08,760 --> 00:20:11,119 Speaker 1: know what's inside, it's fun to open mail. Yeah, I mean, 379 00:20:11,160 --> 00:20:13,000 Speaker 1: I've only opened up one thing of yours, and that 380 00:20:13,080 --> 00:20:18,159 Speaker 1: was the credentials for the racetrack. But you know they 381 00:20:18,160 --> 00:20:20,760 Speaker 1: can't steal credentials, so well those will do you a 382 00:20:20,800 --> 00:20:23,560 Speaker 1: lot of good, right now? Do you have those? By 383 00:20:23,600 --> 00:20:26,000 Speaker 1: the ways that No, I don't, but those only I 384 00:20:26,040 --> 00:20:29,639 Speaker 1: think I can't remember. And someone gave me the box 385 00:20:29,680 --> 00:20:31,680 Speaker 1: though of the Omaha steaks because it was a giant 386 00:20:31,760 --> 00:20:35,199 Speaker 1: cooler and someone passed along to me, like why are 387 00:20:35,240 --> 00:20:38,040 Speaker 1: you giving this to me? I can't do anything with 388 00:20:38,080 --> 00:20:39,960 Speaker 1: this and Ben doesn't come in for another eight hours. 389 00:20:40,400 --> 00:20:43,040 Speaker 1: Why there you guys given it to me? So my 390 00:20:43,160 --> 00:20:45,800 Speaker 1: favorite we got this guy Phil and Cambridge Mass who 391 00:20:45,840 --> 00:20:48,119 Speaker 1: was a big fan of the show and he's so nice, 392 00:20:48,280 --> 00:20:51,200 Speaker 1: like every year for years he sent us these Finway 393 00:20:51,280 --> 00:20:54,840 Speaker 1: monster dogs, which are the greatest talk dog ever. And 394 00:20:54,880 --> 00:20:58,679 Speaker 1: then every once in a while he'll send them and 395 00:20:58,840 --> 00:21:02,000 Speaker 1: some do fist in the mail room will forget to 396 00:21:02,040 --> 00:21:05,320 Speaker 1: put them in the refrigerator. So by the time I 397 00:21:05,400 --> 00:21:08,520 Speaker 1: get there, I can't even eat the damn hotdogs because 398 00:21:08,560 --> 00:21:12,040 Speaker 1: they're expired. You know. They they've gone, you know, traveling 399 00:21:12,040 --> 00:21:14,160 Speaker 1: all the way from Boston to l A. And then 400 00:21:14,280 --> 00:21:16,359 Speaker 1: you gotta put them in the refrigerator. And it says 401 00:21:16,520 --> 00:21:19,080 Speaker 1: I love when it says, right on the box refrigerator immediately, 402 00:21:19,560 --> 00:21:21,040 Speaker 1: you know. And then they don't even do it. It's like, 403 00:21:21,080 --> 00:21:23,239 Speaker 1: what I mean, that's your what other job do you have? Man? 404 00:21:23,280 --> 00:21:28,359 Speaker 1: That's your gig to take care of the mail. Alright, 405 00:21:28,600 --> 00:21:30,840 Speaker 1: so we have study this. We'll do a little study this, 406 00:21:30,960 --> 00:21:34,000 Speaker 1: and then my favorite the pop quiz as we press 407 00:21:34,080 --> 00:21:37,080 Speaker 1: on here. These are actual studies. Now, this is a 408 00:21:37,119 --> 00:21:39,280 Speaker 1: bit that was inspired by that old Penn and Teller 409 00:21:39,359 --> 00:21:43,080 Speaker 1: show Bullshit, And the whole point of this is to 410 00:21:44,200 --> 00:21:47,640 Speaker 1: figure out whether these studies are real or bullshit. And 411 00:21:47,680 --> 00:21:50,600 Speaker 1: that's that's how that goes. So that's the bit, and 412 00:21:50,680 --> 00:21:52,760 Speaker 1: I will tell you we have not had as many 413 00:21:53,440 --> 00:21:57,640 Speaker 1: studies because I'm trying to have to do full coronavirus 414 00:21:57,720 --> 00:22:00,080 Speaker 1: type stuff because I think people listen to this to 415 00:22:00,080 --> 00:22:02,480 Speaker 1: get away from it. But most of the studies that 416 00:22:02,520 --> 00:22:05,919 Speaker 1: are out now are about virus, virus related studies and 417 00:22:06,000 --> 00:22:09,120 Speaker 1: things like that, so I will only include a few 418 00:22:09,160 --> 00:22:11,359 Speaker 1: of those. The rest of these I really had to 419 00:22:11,359 --> 00:22:14,280 Speaker 1: dig deep into the dark web to find. Uh. First 420 00:22:14,520 --> 00:22:17,920 Speaker 1: couple are about the coronavirus. UH survey says eighty four 421 00:22:18,000 --> 00:22:24,639 Speaker 1: percent of Americans right now want another stimulus check. It's gone, 422 00:22:25,440 --> 00:22:29,000 Speaker 1: and so give me the money. Give me the money. 423 00:22:29,359 --> 00:22:31,560 Speaker 1: That's what you're saying right now. I believe it. I mean, 424 00:22:31,600 --> 00:22:33,680 Speaker 1: you're you're getting your own money back. That's all you're 425 00:22:33,720 --> 00:22:36,840 Speaker 1: getting now. I know quite a few people that haven't 426 00:22:36,840 --> 00:22:39,639 Speaker 1: gotten a stimulus check just yet. I have no handful 427 00:22:39,680 --> 00:22:42,560 Speaker 1: of people that have applied for small business loans. They 428 00:22:42,600 --> 00:22:46,400 Speaker 1: can't get those yet. But here in California, I think 429 00:22:46,440 --> 00:22:48,320 Speaker 1: I told you this before, but when we have the 430 00:22:48,680 --> 00:22:52,200 Speaker 1: market crash in two thousands six, two thousand seven, two eight, 431 00:22:52,880 --> 00:22:56,240 Speaker 1: I had a friend of mine collect unemployment and I 432 00:22:56,359 --> 00:22:59,639 Speaker 1: kid you not, he collected unemployment from the state of 433 00:22:59,720 --> 00:23:03,640 Speaker 1: Cali Fornia for seven years seven. How do you seven 434 00:23:04,520 --> 00:23:08,560 Speaker 1: How do you collect it? Seven years? Seven years? I 435 00:23:08,680 --> 00:23:11,560 Speaker 1: shot you not. He kept doing it, and he kept 436 00:23:11,600 --> 00:23:14,880 Speaker 1: getting away with it here in the state of California. Wow, 437 00:23:15,240 --> 00:23:18,400 Speaker 1: seven years. Just handed out money, man, that's what we're 438 00:23:18,400 --> 00:23:20,760 Speaker 1: doing here. Well, we're handing out to anybody. It doesn't 439 00:23:20,760 --> 00:23:23,400 Speaker 1: matter if you're here legally or not to Alright, you're 440 00:23:23,400 --> 00:23:27,000 Speaker 1: gonna trigger those people. No, I'm just saying, Governor. Governor 441 00:23:27,080 --> 00:23:29,680 Speaker 1: Newsom as in a stimulus package here for the state. 442 00:23:29,840 --> 00:23:32,120 Speaker 1: It's Halloween. You knock on the door, you get money. 443 00:23:32,280 --> 00:23:34,439 Speaker 1: That's that's how it works in California. Just knock on 444 00:23:34,440 --> 00:23:36,960 Speaker 1: the door, they'll write your check. How much do you want? Good? Here, 445 00:23:36,960 --> 00:23:39,239 Speaker 1: you go go away, Come back next tomorrow. I'll give 446 00:23:39,280 --> 00:23:41,880 Speaker 1: you more money. All right, his endless amounts of money. 447 00:23:42,000 --> 00:23:49,960 Speaker 1: No taxation without representation, alright. Many many Americans feeling lonelier 448 00:23:50,000 --> 00:23:56,239 Speaker 1: than ever before as the coronavirus the social distancing wears on, 449 00:23:56,520 --> 00:23:59,080 Speaker 1: According to a new study out, I think this is 450 00:23:59,160 --> 00:24:02,680 Speaker 1: kind of obvious, right, I mean, people are not socializing. 451 00:24:02,760 --> 00:24:05,320 Speaker 1: Human beings are social creatures. We like to hang out 452 00:24:05,359 --> 00:24:07,960 Speaker 1: with our family, our friends. Even I, who's an introvert, 453 00:24:08,560 --> 00:24:11,400 Speaker 1: still like to hang out with relatives and things like that, 454 00:24:11,560 --> 00:24:16,000 Speaker 1: And unfortunately it's not the case you were killing No, 455 00:24:16,480 --> 00:24:19,080 Speaker 1: I believe you. You're getting lonely. Earlier this week, I 456 00:24:19,160 --> 00:24:21,480 Speaker 1: know that give you the cold shoulder, and you were 457 00:24:21,560 --> 00:24:23,840 Speaker 1: you were wondering if I had traveled off to far lands, 458 00:24:23,960 --> 00:24:27,280 Speaker 1: and uh, well I know you did. There's a certain pattern, 459 00:24:27,560 --> 00:24:29,560 Speaker 1: I know when you go to a certain pattern. There 460 00:24:29,640 --> 00:24:32,560 Speaker 1: is when you go to a certain location to stop responding. 461 00:24:32,680 --> 00:24:35,680 Speaker 1: Is the only time you stopped responding, not leaving that. 462 00:24:35,720 --> 00:24:38,160 Speaker 1: I haven't left Los Angeles for quite a while. Thanks, 463 00:24:38,200 --> 00:24:40,440 Speaker 1: not what I hear. That's not what if you don't 464 00:24:40,440 --> 00:24:43,919 Speaker 1: hear it from me, that it's inaccurate? Well, I have sources, 465 00:24:44,160 --> 00:24:47,000 Speaker 1: and so all I will say, no, you might have 466 00:24:47,080 --> 00:24:49,879 Speaker 1: violated social distancing rules. I'll just say that, right, I 467 00:24:49,880 --> 00:24:53,679 Speaker 1: wish I did. Yeah, okay, all right, there you go. 468 00:24:54,800 --> 00:24:58,240 Speaker 1: All right, here's the study about babies. Now, why would 469 00:24:58,280 --> 00:25:00,480 Speaker 1: we do a study about babies on sports? It's radio? 470 00:25:00,480 --> 00:25:04,320 Speaker 1: I don't know. I thought I thought this was interesting. 471 00:25:04,680 --> 00:25:09,399 Speaker 1: So timid babies, according to this study, are likely to 472 00:25:09,480 --> 00:25:12,359 Speaker 1: end up as introverts. So apparently I was a timid 473 00:25:12,400 --> 00:25:16,679 Speaker 1: baby growing up. According to a new report that was 474 00:25:16,760 --> 00:25:20,720 Speaker 1: out this week, and they looked at the National Institutes 475 00:25:20,720 --> 00:25:23,879 Speaker 1: of Mental Health say that infants showing a condition referred 476 00:25:23,880 --> 00:25:29,080 Speaker 1: to as behavioral inhibition are more likely to struggle socially 477 00:25:29,119 --> 00:25:35,040 Speaker 1: by age. But that where are yall introverted personality in 478 00:25:35,080 --> 00:25:38,320 Speaker 1: adulthood based on what you do as an infant? But 479 00:25:38,480 --> 00:25:42,439 Speaker 1: that that's interesting? So how this must have been like 480 00:25:42,480 --> 00:25:45,040 Speaker 1: a twenty years study though, right, I mean because these 481 00:25:45,119 --> 00:25:47,760 Speaker 1: takes a long time for this too. You know, you 482 00:25:47,800 --> 00:25:49,760 Speaker 1: gotta wait until these guys are in their twenties to 483 00:25:50,520 --> 00:25:52,600 Speaker 1: girls too to figure it out. How much of that 484 00:25:52,640 --> 00:25:57,560 Speaker 1: do you think has to be attributed to your parenting? Yeah, 485 00:25:57,680 --> 00:25:59,280 Speaker 1: you know, it's it's that's a great thing, is that. 486 00:25:59,359 --> 00:26:02,600 Speaker 1: You know, it's at our what's it nature versus nurture? Right? 487 00:26:02,680 --> 00:26:06,879 Speaker 1: You know? Is it? That is a great debate, Like 488 00:26:07,320 --> 00:26:09,000 Speaker 1: I haven't really spent a lot of time thinking about 489 00:26:09,040 --> 00:26:10,800 Speaker 1: That's like one of those deep questions, you know, is 490 00:26:10,840 --> 00:26:13,760 Speaker 1: it is it your genetics? I guess it's a little 491 00:26:13,800 --> 00:26:17,040 Speaker 1: bit of both. But I really think it's I hate 492 00:26:17,080 --> 00:26:18,600 Speaker 1: to say this, but I think it's more about how 493 00:26:18,640 --> 00:26:21,080 Speaker 1: you were raised, right, how your you know, your parents 494 00:26:21,119 --> 00:26:23,960 Speaker 1: treated you, and how you your life growing up and 495 00:26:24,200 --> 00:26:26,119 Speaker 1: that can be. You can have a bad background and 496 00:26:26,160 --> 00:26:29,120 Speaker 1: then still be amazing and successful and use that as motivation. 497 00:26:29,160 --> 00:26:35,120 Speaker 1: But I think I gotta go more nurture than nature. Yeah, 498 00:26:35,480 --> 00:26:38,439 Speaker 1: what about you guess. I mean, that's fascinating. You know, 499 00:26:38,880 --> 00:26:41,680 Speaker 1: I was. I was kind of a delinquent though. When 500 00:26:41,680 --> 00:26:43,880 Speaker 1: I was a kid, I was a punk. I mean, 501 00:26:44,520 --> 00:26:48,119 Speaker 1: still are a little bit more refined a being a punk. 502 00:26:48,200 --> 00:26:49,960 Speaker 1: But when I was a kid, I tried to get 503 00:26:50,000 --> 00:26:52,199 Speaker 1: away from my dad as much as possible. I was 504 00:26:52,840 --> 00:26:54,760 Speaker 1: he scared the ship out of me, being a cop, 505 00:26:54,880 --> 00:26:57,800 Speaker 1: and he had that deep, deep voice and then the 506 00:26:57,920 --> 00:27:01,720 Speaker 1: mustache like he was. He was imposing, and I did 507 00:27:01,800 --> 00:27:05,040 Speaker 1: everything I possibly could take it away from his wrath. 508 00:27:05,400 --> 00:27:08,159 Speaker 1: But I was an absolute pain in the ass for 509 00:27:08,280 --> 00:27:13,200 Speaker 1: my parents as a kid. Catholic school, uh, Catholic high school. 510 00:27:13,480 --> 00:27:17,200 Speaker 1: We're all a bunch of punks and brats back then too, so, 511 00:27:17,680 --> 00:27:20,520 Speaker 1: but they give me free rein. I mean my sisters 512 00:27:20,600 --> 00:27:22,480 Speaker 1: they were a little bit different, more strict with them. 513 00:27:22,560 --> 00:27:25,639 Speaker 1: But I was, you know, I was a wild card. 514 00:27:26,000 --> 00:27:30,680 Speaker 1: And uh, well, everyone has that period where they're well 515 00:27:30,720 --> 00:27:33,480 Speaker 1: guys like rebellion. I think women do the same thing. 516 00:27:33,520 --> 00:27:35,679 Speaker 1: But there's like this rebellion stage. You go through it 517 00:27:35,720 --> 00:27:37,720 Speaker 1: like I don't like my parents, you go to hate 518 00:27:37,760 --> 00:27:39,680 Speaker 1: your parents. Isn't that what you're supposed to like natural? 519 00:27:39,720 --> 00:27:41,439 Speaker 1: You're supposed to hate your parents when you're a teenager, 520 00:27:41,440 --> 00:27:45,879 Speaker 1: and then eventually you snap back and then you like him. Okay, 521 00:27:45,880 --> 00:27:48,560 Speaker 1: here's the thing, though, I was never in that phase 522 00:27:48,600 --> 00:27:51,480 Speaker 1: of all I hate my parents. But now that my 523 00:27:51,560 --> 00:27:55,480 Speaker 1: dad has gotten older and more removed from law enforcement, 524 00:27:56,440 --> 00:27:58,600 Speaker 1: now I get to hear all the good, juicy stories. 525 00:27:59,480 --> 00:28:01,280 Speaker 1: I gives you the dirt. Now he gives me the 526 00:28:01,280 --> 00:28:04,600 Speaker 1: good stuff, Like I never got to hear any of 527 00:28:04,680 --> 00:28:09,480 Speaker 1: the toxic, bad, brutal, ugly stories in law enforcement, in 528 00:28:09,520 --> 00:28:12,680 Speaker 1: the media and the news and entertainment, and I get 529 00:28:12,680 --> 00:28:14,760 Speaker 1: to hear a lot of it. That's cool. So the 530 00:28:14,800 --> 00:28:17,080 Speaker 1: statue of limitations has run out, and so now he 531 00:28:17,200 --> 00:28:19,560 Speaker 1: is free to share with you some of the good stuff. 532 00:28:20,520 --> 00:28:23,159 Speaker 1: I bet your dad has amazing Has he written a 533 00:28:23,160 --> 00:28:25,399 Speaker 1: book your day? No, but he'd probably, like he'd be 534 00:28:25,400 --> 00:28:28,080 Speaker 1: more inclined to tell you stories than to tell me, 535 00:28:29,240 --> 00:28:31,480 Speaker 1: Like that's just how he is. Like he he does 536 00:28:31,560 --> 00:28:35,359 Speaker 1: not subject any of the kids to the stories, but 537 00:28:35,480 --> 00:28:38,480 Speaker 1: he'll be if it's somebody else, yes, but if it's 538 00:28:38,600 --> 00:28:41,760 Speaker 1: us directly, not so much. And still we start asking 539 00:28:41,840 --> 00:28:44,920 Speaker 1: him questions and kind of breaking him up a little bit, 540 00:28:45,080 --> 00:28:49,600 Speaker 1: but it takes a while. Do you drink coffee? I 541 00:28:49,720 --> 00:28:54,000 Speaker 1: drink espresso, but I don't drink coffee on the regular. Now, 542 00:28:54,080 --> 00:28:57,560 Speaker 1: there's a new study out that says coffee influences our 543 00:28:57,680 --> 00:29:01,360 Speaker 1: sense of taste. They claim it make sweet food even 544 00:29:01,400 --> 00:29:04,440 Speaker 1: more delicious. I don't drink coffee, so I have no 545 00:29:04,480 --> 00:29:06,800 Speaker 1: way of knowing whether that's real or bullshit. I do 546 00:29:06,920 --> 00:29:09,959 Speaker 1: know that Starbucks has a pretty good industry of selling 547 00:29:10,320 --> 00:29:13,800 Speaker 1: no desserts and stuff, little cookies and crap like that 548 00:29:13,880 --> 00:29:17,240 Speaker 1: on the side, muffins and all that, so they must 549 00:29:17,480 --> 00:29:21,360 Speaker 1: have some infra information that that's true. Coffee also doesn't 550 00:29:21,440 --> 00:29:24,160 Speaker 1: just wake you up in the morning. It may that's 551 00:29:24,160 --> 00:29:28,200 Speaker 1: a weezel word, may even lengthen your life, but only 552 00:29:28,240 --> 00:29:31,400 Speaker 1: if you prepare it with a filter. It's, according to 553 00:29:31,480 --> 00:29:36,240 Speaker 1: a new long term study, that's uh, the only coffee 554 00:29:36,280 --> 00:29:41,840 Speaker 1: I ever drank. If I do drink, it's called bulletproof coffee. Um, 555 00:29:41,880 --> 00:29:43,920 Speaker 1: I highly recommend it. You gotta drink it cold, though, 556 00:29:44,680 --> 00:29:46,240 Speaker 1: but it's good. Are you s Are you a big 557 00:29:46,280 --> 00:29:49,640 Speaker 1: caffeine guy. No, I used to I used to be 558 00:29:49,680 --> 00:29:52,760 Speaker 1: addicted to soda. I just drink water, like what I 559 00:29:52,840 --> 00:29:55,440 Speaker 1: drinks water. I'll cheat, I'll go crazy on the weekend. 560 00:29:55,440 --> 00:29:58,040 Speaker 1: I'll have like grape juice from Lemonade or something like 561 00:29:58,080 --> 00:30:00,560 Speaker 1: that and be really out there. But it's but mostly 562 00:30:00,600 --> 00:30:03,400 Speaker 1: just wat But when you're sluggish, you're flat from you know, 563 00:30:03,480 --> 00:30:05,520 Speaker 1: when you wake up with your sleep patterns, how do 564 00:30:05,560 --> 00:30:07,080 Speaker 1: you get how do you get up? How do you 565 00:30:07,080 --> 00:30:10,200 Speaker 1: get energized? Um? You know, I bang my head against 566 00:30:10,240 --> 00:30:11,880 Speaker 1: the wall a few times, and I don't know. I 567 00:30:11,880 --> 00:30:17,280 Speaker 1: don't I don't really have any any substance. Occasionally, when 568 00:30:17,280 --> 00:30:19,760 Speaker 1: I'm back when things were normal and I was getting 569 00:30:19,920 --> 00:30:21,920 Speaker 1: you know, four hours of sleep, I'm getting more sleep 570 00:30:21,960 --> 00:30:25,160 Speaker 1: now because then, you know, I've got nothing else to do. Um. 571 00:30:25,280 --> 00:30:28,600 Speaker 1: But back then, I had a bottle in my car 572 00:30:28,720 --> 00:30:31,200 Speaker 1: of caffeine pills and I would take one of those. 573 00:30:31,200 --> 00:30:33,160 Speaker 1: It's just like a shot of coffee, is what it is. 574 00:30:33,160 --> 00:30:35,160 Speaker 1: Like a cup of coffee and a little pill and 575 00:30:35,200 --> 00:30:37,640 Speaker 1: then that would wake me up. Was it hydroxy cut 576 00:30:37,760 --> 00:30:42,000 Speaker 1: or something? No, it's no, it's not shut up. Now 577 00:30:42,040 --> 00:30:44,840 Speaker 1: you go to like Walmart or whatever, and you get 578 00:30:44,880 --> 00:30:47,400 Speaker 1: a bottle for like four or five bucks. It's it's 579 00:30:47,400 --> 00:30:49,960 Speaker 1: like the cost of one cup of coffee, except it 580 00:30:50,040 --> 00:30:52,040 Speaker 1: costs you know, it's for two hundred cups of coffee 581 00:30:52,080 --> 00:30:53,760 Speaker 1: for the price of one. As far as the caffeine 582 00:30:53,800 --> 00:30:58,239 Speaker 1: content that, it's not brutal. What's what's brutal about that 583 00:30:58,640 --> 00:31:01,760 Speaker 1: taking caffeine? I don't know. It's what's the big deal? 584 00:31:01,800 --> 00:31:04,960 Speaker 1: Who cares a little caffeine supplement? It's like a vitamin. Yeah, 585 00:31:05,080 --> 00:31:07,600 Speaker 1: I guess you're not gonna get a world. Be sure 586 00:31:07,640 --> 00:31:10,360 Speaker 1: to catch live editions of The Ben Maller Show weekdays 587 00:31:10,360 --> 00:31:14,160 Speaker 1: at two a m. Eastern eleven pm Pacific. Alright, new 588 00:31:14,200 --> 00:31:18,440 Speaker 1: study out says, according to researchers, they've created a smart 589 00:31:18,720 --> 00:31:22,360 Speaker 1: toilet that check this out, guest, go on, remembers your 590 00:31:22,720 --> 00:31:28,440 Speaker 1: ass print, your buttocks print, and we'll also apparently scan 591 00:31:28,560 --> 00:31:34,480 Speaker 1: your urine for disease. Stanford University says the smart toilet 592 00:31:34,880 --> 00:31:37,680 Speaker 1: will be able to not only recognize its user via 593 00:31:37,720 --> 00:31:42,320 Speaker 1: their ass, but also warning signs for cancer and other 594 00:31:42,440 --> 00:31:45,320 Speaker 1: diseases when they go to the bathroom. Well, this is 595 00:31:45,440 --> 00:31:47,480 Speaker 1: this is great. If you can you cancer, if you 596 00:31:47,520 --> 00:31:49,760 Speaker 1: find it early, you're in really good shape. Right, Yeah, 597 00:31:49,880 --> 00:31:52,760 Speaker 1: that's that's Stanford has been busy then, because earlier this 598 00:31:52,800 --> 00:31:55,560 Speaker 1: week they had some tests from a controlled group that 599 00:31:55,680 --> 00:31:59,680 Speaker 1: said that the presence of the coronavirus was fifty eight 600 00:31:59,800 --> 00:32:03,760 Speaker 1: times more uh more likely to have occurred earlier this year, 601 00:32:04,600 --> 00:32:07,120 Speaker 1: uh than what many people had thought to believe prior. 602 00:32:07,240 --> 00:32:09,160 Speaker 1: So that's good on Stanford. They've been busy doing some 603 00:32:09,200 --> 00:32:11,880 Speaker 1: things lately. That's yeah, I saw that, and that's I 604 00:32:11,880 --> 00:32:14,200 Speaker 1: hope that's right, that story about the chronab us, because 605 00:32:14,240 --> 00:32:17,640 Speaker 1: that would lead us to ending this much sooner, because 606 00:32:17,640 --> 00:32:20,960 Speaker 1: that would mean all the numbers were bullshit and they 607 00:32:20,960 --> 00:32:24,600 Speaker 1: were wrong, that we were being fed about, you know 608 00:32:24,640 --> 00:32:28,240 Speaker 1: how the death rates and all that stuff. And then 609 00:32:28,440 --> 00:32:31,400 Speaker 1: suddenly you're like, wait a minute here, you know what's 610 00:32:31,400 --> 00:32:33,920 Speaker 1: going on with this? You know, you can kind of 611 00:32:34,240 --> 00:32:36,760 Speaker 1: look at this from a different perspective. Now. Were you 612 00:32:36,880 --> 00:32:40,160 Speaker 1: ever from November to where we're at now, were you 613 00:32:40,280 --> 00:32:42,920 Speaker 1: ever sick? Like, did you ever feel like you were 614 00:32:43,040 --> 00:32:45,560 Speaker 1: under the weather, have the flu? And like I was 615 00:32:45,640 --> 00:32:50,880 Speaker 1: sick in I think it was December January. Um, I 616 00:32:50,960 --> 00:32:52,880 Speaker 1: usually get sick around that time year, so I didn't 617 00:32:52,920 --> 00:32:55,200 Speaker 1: think anything of it, and I was like whatever, my 618 00:32:55,240 --> 00:32:57,480 Speaker 1: wife had a little cough. I had a little coughing, 619 00:32:57,560 --> 00:33:02,080 Speaker 1: but I didn't think of it. So I don't know. 620 00:33:02,080 --> 00:33:04,200 Speaker 1: I would be shocked if that was the coronavirus, But 621 00:33:04,240 --> 00:33:07,120 Speaker 1: who the hell knows. The weird thing is like you 622 00:33:07,200 --> 00:33:10,120 Speaker 1: read these stories on the symptoms and some people they 623 00:33:10,120 --> 00:33:12,440 Speaker 1: say have no symptoms, and other people have this and 624 00:33:12,480 --> 00:33:14,480 Speaker 1: other people that. It's like it's like it could be anything. 625 00:33:14,560 --> 00:33:16,520 Speaker 1: You know, it could be nothing and it could be something. 626 00:33:16,560 --> 00:33:19,920 Speaker 1: It's crazy. Well, I think I think there was a 627 00:33:19,960 --> 00:33:22,200 Speaker 1: couple of guys here that that had it, and I 628 00:33:22,200 --> 00:33:25,040 Speaker 1: wouldn't be surprised if I had it. There was Eddie. 629 00:33:25,160 --> 00:33:27,560 Speaker 1: Eddie said he thought he had it, and he was. 630 00:33:27,640 --> 00:33:30,920 Speaker 1: I remember he was really sick and and he was out. 631 00:33:31,240 --> 00:33:33,160 Speaker 1: I think he missed work a couple of times. He 632 00:33:33,200 --> 00:33:35,200 Speaker 1: was under the weather. You had it too? Now? Was 633 00:33:35,240 --> 00:33:37,960 Speaker 1: that after his trip? Though? Didn't he go to Didn't 634 00:33:37,960 --> 00:33:39,840 Speaker 1: you go to Australia or something like that and then 635 00:33:39,920 --> 00:33:44,000 Speaker 1: come back? And I think, so, yeah, he didn't travel overseas. 636 00:33:44,640 --> 00:33:48,160 Speaker 1: I forget what, Yeah, I think Australia. So I was 637 00:33:48,200 --> 00:33:51,720 Speaker 1: sick for about four or five days, and I distinctly 638 00:33:51,720 --> 00:33:54,280 Speaker 1: remember this. Now, I was not going to come in 639 00:33:54,360 --> 00:33:58,120 Speaker 1: on a Thursday to record the podcast, and your fucking 640 00:33:58,160 --> 00:34:00,400 Speaker 1: ass was giving me a guilt trip about it, showing 641 00:34:00,480 --> 00:34:06,880 Speaker 1: some grit, having some mental toughness, right, So I came 642 00:34:06,920 --> 00:34:10,040 Speaker 1: in here and I proceeded to work the entire weekend. 643 00:34:10,120 --> 00:34:13,000 Speaker 1: I felt, that's good. You know what you showed toughness, 644 00:34:13,080 --> 00:34:15,640 Speaker 1: You showed great you you put some dirt on it, 645 00:34:15,760 --> 00:34:18,880 Speaker 1: right to taking aspirate and get out there and do 646 00:34:18,960 --> 00:34:21,040 Speaker 1: your job. They say not to take aspirin during this 647 00:34:21,360 --> 00:34:27,120 Speaker 1: taking profit suck it up. But I feel better three 648 00:34:27,200 --> 00:34:30,240 Speaker 1: days later, and then it got sick again five days 649 00:34:30,280 --> 00:34:33,200 Speaker 1: after that. So yeah, that's the other thing about this 650 00:34:33,200 --> 00:34:35,600 Speaker 1: guest guy, Like I'm hoping that we don't turn into 651 00:34:35,640 --> 00:34:38,239 Speaker 1: a bunch of pussy willows. Like I I pride myself 652 00:34:38,320 --> 00:34:42,040 Speaker 1: and you know, working and and having some grit and 653 00:34:42,080 --> 00:34:46,000 Speaker 1: all that stuff and resolve. And it seems like I've 654 00:34:46,040 --> 00:34:47,960 Speaker 1: read a lot of these stories all you should never 655 00:34:48,040 --> 00:34:51,160 Speaker 1: work sick ever again now because of the coronavirus, you know. 656 00:34:51,160 --> 00:34:53,680 Speaker 1: And I'm like, really, are we gonna go to that 657 00:34:53,719 --> 00:34:57,239 Speaker 1: particular point. But so you think you had it, and 658 00:34:57,239 --> 00:34:59,880 Speaker 1: and so have you been tested to see it? But 659 00:35:00,239 --> 00:35:02,919 Speaker 1: I know that there's a few urgent care centers where 660 00:35:02,920 --> 00:35:04,919 Speaker 1: I live in the South Bay that are actually gonna 661 00:35:04,960 --> 00:35:08,040 Speaker 1: start doing the antibody testing. So I'm gonna see if 662 00:35:08,080 --> 00:35:10,120 Speaker 1: I can get tested because here in California that I 663 00:35:10,160 --> 00:35:11,640 Speaker 1: don't know what the other states of the same, I 664 00:35:11,640 --> 00:35:14,759 Speaker 1: believe they are. But if you get an antibody test, uh, 665 00:35:14,800 --> 00:35:16,680 Speaker 1: it's free a charge. Insurance will pick it up. I 666 00:35:16,680 --> 00:35:19,320 Speaker 1: know swabs across the country or free. But the antibody 667 00:35:19,360 --> 00:35:21,879 Speaker 1: testing I think is different in each state. So well, 668 00:35:21,880 --> 00:35:23,799 Speaker 1: that would be cool, And I mean how much how 669 00:35:23,840 --> 00:35:26,200 Speaker 1: great would you feel like? You would feel somewhat in 670 00:35:26,280 --> 00:35:29,200 Speaker 1: power right that if you already had it, you'd be like, well, 671 00:35:29,239 --> 00:35:31,120 Speaker 1: I can't be that scared of it, you know what 672 00:35:31,200 --> 00:35:33,880 Speaker 1: I mean? Yeah, I certainly don't want the vaccine shot. 673 00:35:33,960 --> 00:35:36,839 Speaker 1: I don't know about you, but I'm done. Should will 674 00:35:36,880 --> 00:35:38,480 Speaker 1: put some extra stuff. You think it'll be like a 675 00:35:38,560 --> 00:35:41,560 Speaker 1: Christmas tree bill in Congress, Well, they'll throw some other 676 00:35:41,600 --> 00:35:43,560 Speaker 1: stuff in there that you don't necessarily need. I'm not 677 00:35:43,600 --> 00:35:46,640 Speaker 1: afraid of needles, but we've had enough what booster shots 678 00:35:46,640 --> 00:35:49,160 Speaker 1: and tetana shots when we were kids. Right, are you 679 00:35:49,239 --> 00:35:55,440 Speaker 1: an anti vaxer um? Oh? Boy, come on, your anti vaxer. 680 00:35:55,680 --> 00:36:01,120 Speaker 1: I'm I'm anti medicine, like I believe that what I 681 00:36:01,160 --> 00:36:04,240 Speaker 1: hate medicine until I get sick. And then listen, you're hippie. 682 00:36:04,239 --> 00:36:06,600 Speaker 1: Wife will agree with me on this. Everything that we 683 00:36:06,680 --> 00:36:10,040 Speaker 1: consume is medicine for us, right. The food that we 684 00:36:10,239 --> 00:36:16,520 Speaker 1: take in medicine, medicine, exercise, weed man, hippie. And now 685 00:36:16,560 --> 00:36:22,439 Speaker 1: I've got weed man gascon. Oh man. My wife sent 686 00:36:22,480 --> 00:36:25,239 Speaker 1: me a story today and she was all excited. I 687 00:36:25,280 --> 00:36:27,160 Speaker 1: gotta find it, you know, It's like, I gotta find 688 00:36:27,200 --> 00:36:30,080 Speaker 1: the story here. This is pretty funny. So I gotta 689 00:36:30,120 --> 00:36:33,000 Speaker 1: tell you how I how I responded if I could 690 00:36:33,040 --> 00:36:36,399 Speaker 1: find it, um, you know, I don't think I'm gonna 691 00:36:36,400 --> 00:36:37,880 Speaker 1: find it in time, but but it was it was 692 00:36:37,960 --> 00:36:42,200 Speaker 1: some report about something that you can take that how 693 00:36:42,280 --> 00:36:44,640 Speaker 1: you know that is going to help your body and 694 00:36:44,680 --> 00:36:47,360 Speaker 1: all this stuff, And so then I responded, here's what 695 00:36:47,440 --> 00:36:50,319 Speaker 1: I'm such a douchebag. So I then responded, how with 696 00:36:50,360 --> 00:36:54,040 Speaker 1: all the weasel words that were used, you highlighted it? Yeah, 697 00:36:54,560 --> 00:36:58,960 Speaker 1: may could might you know? And I'm like, this is 698 00:36:58,960 --> 00:37:01,680 Speaker 1: just like filled the weasel words, is like what he did? 699 00:37:01,880 --> 00:37:04,520 Speaker 1: This is this bullshit? And of course my wife, well, 700 00:37:04,600 --> 00:37:06,279 Speaker 1: I like to you know, she's like, I don't really 701 00:37:06,280 --> 00:37:07,719 Speaker 1: care if it's not real or not. I like the 702 00:37:07,719 --> 00:37:10,960 Speaker 1: placebo effect that She's like, I like the idea of 703 00:37:11,000 --> 00:37:14,719 Speaker 1: it being real. Is I'm paraphrasing that, but she said 704 00:37:14,760 --> 00:37:16,920 Speaker 1: some version of that. So, now, are you gonna get 705 00:37:16,960 --> 00:37:19,760 Speaker 1: tested for the for the COVID You know, my wife's 706 00:37:19,800 --> 00:37:22,720 Speaker 1: work actually at the police station. Um, they were testing, 707 00:37:22,760 --> 00:37:26,839 Speaker 1: but the times unfortunately did not work out. So I 708 00:37:26,840 --> 00:37:30,920 Speaker 1: have not I would like to be tested for the antibodies, 709 00:37:31,120 --> 00:37:33,120 Speaker 1: just to let me know what I'm what I'm dealing 710 00:37:33,120 --> 00:37:35,719 Speaker 1: with you, whether I've had it or not. So you're now. So. 711 00:37:36,040 --> 00:37:38,880 Speaker 1: Governor Newsome here in the state of California has also 712 00:37:39,000 --> 00:37:42,880 Speaker 1: bumped women like your wife to a Tier one So 713 00:37:42,960 --> 00:37:46,440 Speaker 1: that means that they're allowed automatically to get tested anywhere 714 00:37:46,480 --> 00:37:49,200 Speaker 1: for the antibodies test because they're really because they're a 715 00:37:49,200 --> 00:37:52,000 Speaker 1: part of the emergency Response Unit team in the state. 716 00:37:52,800 --> 00:37:56,200 Speaker 1: Just so yeah, so if your law enforcement, um, if 717 00:37:56,239 --> 00:37:58,560 Speaker 1: you're a civil servant, if you work in those high 718 00:37:58,719 --> 00:38:02,080 Speaker 1: areas of risk, like if you're a doctor, a nurse, 719 00:38:02,640 --> 00:38:04,360 Speaker 1: if you work in trauma, or if you work like 720 00:38:04,400 --> 00:38:06,880 Speaker 1: a hospice care and you can get your like on 721 00:38:06,920 --> 00:38:08,919 Speaker 1: the front line, so you can get an antibody test 722 00:38:08,920 --> 00:38:12,200 Speaker 1: immediately whatever you want. Oh interesting, I did not I 723 00:38:12,360 --> 00:38:14,759 Speaker 1: did not know about that. All right, um, let's see 724 00:38:14,800 --> 00:38:18,640 Speaker 1: moving on here in the magical world of study this, 725 00:38:18,680 --> 00:38:20,080 Speaker 1: we do a couple more studies because I want to 726 00:38:20,080 --> 00:38:21,960 Speaker 1: get the pop quiz. We got a lot of pop quiz. 727 00:38:22,320 --> 00:38:25,000 Speaker 1: Let's see here. Should I do this one here? Oh, 728 00:38:25,160 --> 00:38:28,440 Speaker 1: Russian trolls here, this is online with our talking points. 729 00:38:28,719 --> 00:38:36,880 Speaker 1: Russian trolls supremely effective and exploiting America's fear anger online. 730 00:38:37,760 --> 00:38:41,759 Speaker 1: About that, let's via Facebook or Twitter or Instagram. Let's 731 00:38:41,760 --> 00:38:46,160 Speaker 1: see your This is a study conducted at the University 732 00:38:46,200 --> 00:38:50,600 Speaker 1: of Colorado, Boulder. Nice. They looked at this and they 733 00:38:51,000 --> 00:38:54,640 Speaker 1: they did the research. They analyzed the Russian bought post. 734 00:38:54,719 --> 00:38:58,359 Speaker 1: Researchers discovered they generated click through rates as much as 735 00:38:58,520 --> 00:39:02,799 Speaker 1: nine times higher than the norm in digital advertising. They're 736 00:39:02,840 --> 00:39:07,520 Speaker 1: more effective in digital advertising. About that. Anyway, there's a 737 00:39:07,560 --> 00:39:09,480 Speaker 1: bunch of bs here. I don't have time to read 738 00:39:09,480 --> 00:39:12,280 Speaker 1: the whole thing, but I don't think it's it's shocking. 739 00:39:12,400 --> 00:39:14,880 Speaker 1: I mean, we we talked to Sports Talk Barry yesterday. 740 00:39:14,960 --> 00:39:17,640 Speaker 1: He's not a Russian troll. He's an American control. He's 741 00:39:17,680 --> 00:39:21,720 Speaker 1: very good at it. And people respond right, human beings respond, 742 00:39:21,760 --> 00:39:24,760 Speaker 1: whether it's because of vanity or whatever. That's why it works. 743 00:39:24,840 --> 00:39:26,839 Speaker 1: And we'll, by the way, are we not eve enough 744 00:39:26,880 --> 00:39:29,920 Speaker 1: to think that the US doesn't have their version on 745 00:39:30,000 --> 00:39:33,000 Speaker 1: the Chinese social media and the Russian social media, there's 746 00:39:33,000 --> 00:39:36,000 Speaker 1: American bots that are doing the same thing. That's just 747 00:39:36,440 --> 00:39:39,000 Speaker 1: that's how this works. So I every country is, you know, 748 00:39:39,160 --> 00:39:42,600 Speaker 1: sending their little messages to other countries. Uh, am my 749 00:39:42,760 --> 00:39:44,520 Speaker 1: wrong and saying I don't think I'm wrong, saying I 750 00:39:44,520 --> 00:39:47,840 Speaker 1: think that's exactly. US has their own Internet people that 751 00:39:47,880 --> 00:39:50,440 Speaker 1: are flooding the market in these other countries. And we're 752 00:39:50,480 --> 00:39:53,160 Speaker 1: not unique, but we have a special branch of trolls 753 00:39:53,200 --> 00:39:55,319 Speaker 1: that do this too, because we have the mainstream media 754 00:39:55,360 --> 00:39:59,600 Speaker 1: that also can night a fire too, just asking for 755 00:39:59,600 --> 00:40:02,799 Speaker 1: for more triggered snowflakes the email it's a bad job 756 00:40:02,840 --> 00:40:05,640 Speaker 1: by you. Well, we did have the mainstream media earlier 757 00:40:05,680 --> 00:40:10,680 Speaker 1: this week basically report that Kim Jong un was brain 758 00:40:10,800 --> 00:40:14,080 Speaker 1: dead after he was admitted to the hospital for major surgeries. 759 00:40:14,320 --> 00:40:17,120 Speaker 1: I thought that was sports talk, barely going into politics 760 00:40:17,200 --> 00:40:20,239 Speaker 1: when I saw that. Well, the other one, which is 761 00:40:20,320 --> 00:40:24,040 Speaker 1: you know, they're so thirsty, the media for anything that 762 00:40:24,120 --> 00:40:26,360 Speaker 1: can make Trump look like a jackass, which you know, 763 00:40:26,480 --> 00:40:28,319 Speaker 1: let's be Trump does a lot of stuff that does 764 00:40:28,360 --> 00:40:31,400 Speaker 1: put him in a situation looked like a jackass. But 765 00:40:31,400 --> 00:40:33,719 Speaker 1: but then, like they there was that study that went 766 00:40:33,760 --> 00:40:36,080 Speaker 1: around and I saw this a million times, you know, 767 00:40:36,080 --> 00:40:38,960 Speaker 1: it was, um, what's the drug? I forget the name 768 00:40:39,000 --> 00:40:45,840 Speaker 1: of it. He's he's been promoting UM for the coronavirus um. Uh, 769 00:40:46,840 --> 00:40:52,399 Speaker 1: not the anti malaria du no, no was the one? 770 00:40:53,040 --> 00:40:57,240 Speaker 1: H um? Yeah, that's what is hydroxy callorquin okay colorquin Alright. 771 00:40:57,280 --> 00:40:58,839 Speaker 1: So yeah, so there was a study out that said, 772 00:40:58,840 --> 00:41:02,520 Speaker 1: you know, more people die on this drug than than uh, 773 00:41:02,600 --> 00:41:05,480 Speaker 1: you know, not the people that didn't their drug doesn't work. 774 00:41:05,520 --> 00:41:08,280 Speaker 1: Was essentially what you study said, right, So that's the headline, 775 00:41:08,280 --> 00:41:11,520 Speaker 1: this one everywhere, right, this one ever. CNN was all 776 00:41:11,560 --> 00:41:14,560 Speaker 1: over it, all, the TV local TV news, repeated at 777 00:41:14,680 --> 00:41:18,279 Speaker 1: New York Times, all these media outlets reported, nobody reads 778 00:41:18,320 --> 00:41:20,640 Speaker 1: the fucking fine print. All right, if you read the 779 00:41:20,680 --> 00:41:23,239 Speaker 1: five print, it was not a peer reviewed study. And 780 00:41:23,280 --> 00:41:25,920 Speaker 1: in the science community, if it's not peer reviewed, it's bullshit, 781 00:41:26,400 --> 00:41:28,680 Speaker 1: it's not real. So that's the first thing, it wasn't 782 00:41:28,680 --> 00:41:32,280 Speaker 1: peer reviewed, and then they also admitted in the study 783 00:41:32,719 --> 00:41:36,120 Speaker 1: that the people that were getting the drug were most 784 00:41:36,160 --> 00:41:39,120 Speaker 1: likely gonna die anyway. So you know, it's kind of 785 00:41:39,120 --> 00:41:41,799 Speaker 1: like I learned this unfortunately, maybe she rest in peace 786 00:41:41,840 --> 00:41:45,759 Speaker 1: my mom when my mom had cancer three times and 787 00:41:45,760 --> 00:41:49,760 Speaker 1: and they had these different drugs that they offered um 788 00:41:49,840 --> 00:41:52,279 Speaker 1: in these clinical trials. You know that we're supposed to 789 00:41:52,280 --> 00:41:56,160 Speaker 1: be magical drugs that could cure you, but as I learned, 790 00:41:56,719 --> 00:41:59,840 Speaker 1: those are only available to people that are in great health. 791 00:42:00,120 --> 00:42:02,879 Speaker 1: They think they want to skew the numbers so they 792 00:42:02,880 --> 00:42:05,880 Speaker 1: can get the drug companies to invest in the in 793 00:42:05,920 --> 00:42:08,399 Speaker 1: the drugs and buy the patent for the drugs. So 794 00:42:08,920 --> 00:42:13,280 Speaker 1: it's a lot of that is deception and manipulation because 795 00:42:13,480 --> 00:42:16,120 Speaker 1: if the people that are looking for that, that are 796 00:42:16,160 --> 00:42:19,480 Speaker 1: really in you know, shitty condition can't get it because 797 00:42:19,520 --> 00:42:21,600 Speaker 1: the people behind the studies are like, no, no, I 798 00:42:21,640 --> 00:42:23,239 Speaker 1: want to give this to people that are probably gonna 799 00:42:23,239 --> 00:42:25,439 Speaker 1: make it anyway, because then that will make it look 800 00:42:25,480 --> 00:42:28,319 Speaker 1: better the final math on this. You know what I'm saying. 801 00:42:28,560 --> 00:42:31,560 Speaker 1: If it's the same way that people that have passed 802 00:42:31,600 --> 00:42:35,960 Speaker 1: away and they have underlying conditions, but despite the fact 803 00:42:36,000 --> 00:42:38,560 Speaker 1: that they have the coronavirus. That's these underlying conditions that 804 00:42:38,640 --> 00:42:43,040 Speaker 1: caused um the coronavirus obviously to hinder their immune system. 805 00:42:43,080 --> 00:42:45,040 Speaker 1: But now they're the cause of death will be ruled 806 00:42:45,480 --> 00:42:50,319 Speaker 1: COVID nineteen as opposed to whatever it was before. So 807 00:42:50,320 --> 00:42:51,840 Speaker 1: it's it's true. I mean, that's that's one of the 808 00:42:51,840 --> 00:42:54,640 Speaker 1: other problems with the numbers, like it's if they don't 809 00:42:54,760 --> 00:43:00,920 Speaker 1: have an exact the numbers are. We say, all right, 810 00:43:01,320 --> 00:43:03,000 Speaker 1: so we moved to pop quiz, or I got one 811 00:43:03,000 --> 00:43:04,680 Speaker 1: more study, but we can do that, or we can 812 00:43:04,680 --> 00:43:06,200 Speaker 1: move to pop quiz. What do you want? We can 813 00:43:06,280 --> 00:43:08,160 Speaker 1: do one more study, alright, one more study? Alright. So 814 00:43:08,239 --> 00:43:12,640 Speaker 1: researchers from Michigan State University have released a study on 815 00:43:12,960 --> 00:43:16,040 Speaker 1: sex door sex stortion. I could even say right sex 816 00:43:16,080 --> 00:43:20,920 Speaker 1: stortion a right, not extortion sex stortion? Uh and are 817 00:43:20,960 --> 00:43:25,319 Speaker 1: you familiar with this? It is an internet crime where 818 00:43:25,360 --> 00:43:30,880 Speaker 1: someone poses a threat to adults or minors and uh. 819 00:43:30,920 --> 00:43:34,400 Speaker 1: And essentially what it is is they claim, hey, I've 820 00:43:34,440 --> 00:43:37,520 Speaker 1: got naughty photos that you took and sent to your 821 00:43:37,560 --> 00:43:42,560 Speaker 1: girlfriend or your boyfriend, and if you don't send me money, 822 00:43:42,760 --> 00:43:45,719 Speaker 1: then I'm gonna you know, I'm gonna send these to 823 00:43:45,760 --> 00:43:48,840 Speaker 1: your mom or your boss or whatever that kind of Yes. 824 00:43:48,960 --> 00:43:53,239 Speaker 1: So I got an email last week about that. It 825 00:43:53,320 --> 00:43:57,120 Speaker 1: was really I was in my spam folder and basically 826 00:43:57,120 --> 00:44:00,960 Speaker 1: whoever spam me basically said that they had my old password, 827 00:44:01,080 --> 00:44:03,719 Speaker 1: which was actually accurate too. They had an old password 828 00:44:03,719 --> 00:44:06,720 Speaker 1: of mine that was that was archived on my computer 829 00:44:06,800 --> 00:44:09,400 Speaker 1: and said, hey, I've seen what you're doing in your computer. 830 00:44:09,600 --> 00:44:11,520 Speaker 1: If you don't give me such and such amount of money, 831 00:44:12,280 --> 00:44:15,399 Speaker 1: I'm gonna publish all your content to all your contacts 832 00:44:15,440 --> 00:44:17,560 Speaker 1: on the Worldwide Web. And so they always say to 833 00:44:18,320 --> 00:44:20,200 Speaker 1: send it stuff to the FBI. So I did that. 834 00:44:20,280 --> 00:44:22,279 Speaker 1: I had two separate accounts, and I shipped it off 835 00:44:22,320 --> 00:44:24,920 Speaker 1: to the FBI, like email accounts, the names and all 836 00:44:24,960 --> 00:44:26,840 Speaker 1: that stuff on there. But yeah, it's a it's a 837 00:44:26,840 --> 00:44:28,680 Speaker 1: common trend. I had to go down to because you 838 00:44:28,760 --> 00:44:31,239 Speaker 1: use read it a lot, right, Yeah, I go on, 839 00:44:31,280 --> 00:44:33,319 Speaker 1: I go and read it. Yeah that's a good website. Yeah. 840 00:44:33,320 --> 00:44:35,560 Speaker 1: So read it had a bunch of information on their people, 841 00:44:35,800 --> 00:44:38,080 Speaker 1: you know, showing the the email of the exact email 842 00:44:38,120 --> 00:44:40,319 Speaker 1: that was being spanned out to people. So yeah, I 843 00:44:40,320 --> 00:44:43,040 Speaker 1: thought you were going down the road of revenge porn. 844 00:44:43,120 --> 00:44:45,880 Speaker 1: But that's well, it's it's yeah, no, this is different 845 00:44:46,000 --> 00:44:50,040 Speaker 1: sect sex torsion is different cording missions, and it makes sense, 846 00:44:50,080 --> 00:44:52,880 Speaker 1: you know, like they say, oftentimes they're just fishing that 847 00:44:52,960 --> 00:44:56,319 Speaker 1: people don't actually have the photos they say they do, 848 00:44:56,440 --> 00:44:59,160 Speaker 1: and then you know, we're all perverts and we all 849 00:44:59,160 --> 00:45:00,799 Speaker 1: take photos with your and take and we look at 850 00:45:00,840 --> 00:45:02,640 Speaker 1: photos we probably shouldn't look at, and then you send 851 00:45:02,640 --> 00:45:05,640 Speaker 1: stuff out and then and so you don't know, you're like, 852 00:45:05,680 --> 00:45:07,719 Speaker 1: wait a minute, minute, was that do they have that? 853 00:45:07,840 --> 00:45:10,080 Speaker 1: You know, you know what I mean, They don't really understand, 854 00:45:10,480 --> 00:45:15,120 Speaker 1: and so they say, oftentimes they'll get money. In many cases, 855 00:45:15,680 --> 00:45:20,040 Speaker 1: the perpetrators don't actually have the actual images or videos 856 00:45:20,040 --> 00:45:22,320 Speaker 1: they claim they have. They just use it as leverage 857 00:45:23,160 --> 00:45:27,040 Speaker 1: and they're able to manipulate the victim the mark, if 858 00:45:27,080 --> 00:45:29,960 Speaker 1: you will, and they tap into their fear of not 859 00:45:30,120 --> 00:45:32,120 Speaker 1: knowing whether the threat is real or not, and then 860 00:45:32,160 --> 00:45:36,800 Speaker 1: they end up getting money out of that's brutal. Yeah. Uh, Fortunately, 861 00:45:36,840 --> 00:45:39,799 Speaker 1: I am pretty confident there's none of those photos because 862 00:45:39,840 --> 00:45:42,280 Speaker 1: no one wants to see me in that situation anyway. 863 00:45:42,320 --> 00:45:45,120 Speaker 1: All Right, Fox Sports Radio has the best sports talk 864 00:45:45,200 --> 00:45:47,919 Speaker 1: lineup in the nation. Catch all of our shows at 865 00:45:47,920 --> 00:45:51,279 Speaker 1: Fox Sports Radio dot Com and within the I Heart 866 00:45:51,360 --> 00:45:55,520 Speaker 1: Radio app search f s R to listen live pop Quiz. 867 00:45:55,520 --> 00:45:58,279 Speaker 1: Here we all, pop quiz time. My favorite new bit 868 00:45:58,360 --> 00:46:01,360 Speaker 1: on the show pop Quiz is happy organically on the 869 00:46:01,400 --> 00:46:04,000 Speaker 1: fifth hour podcast. All Right, here's I'll ask the questions 870 00:46:04,000 --> 00:46:06,600 Speaker 1: of gascon. The goal is for you listening to play 871 00:46:06,640 --> 00:46:08,120 Speaker 1: along as well. Well, I got a bunch of the 872 00:46:08,200 --> 00:46:09,560 Speaker 1: so we'll get it through as many of these as 873 00:46:09,600 --> 00:46:14,040 Speaker 1: we can. All right, pop quiz question number one. Netflix 874 00:46:14,160 --> 00:46:21,800 Speaker 1: has picked up blank million global subscribers since the coronavirus began. 875 00:46:22,080 --> 00:46:25,319 Speaker 1: How many new people have signed up for Netflix? This 876 00:46:25,400 --> 00:46:27,120 Speaker 1: is as of a couple of days ago since the 877 00:46:27,120 --> 00:46:31,000 Speaker 1: coronavirus pandemics give the audience a quick second to respond, 878 00:46:31,200 --> 00:46:35,680 Speaker 1: I'm gonna guests lucky number alright, a lot of people 879 00:46:35,920 --> 00:46:39,920 Speaker 1: thirteen million platform but where that's right worldwide? You were 880 00:46:39,960 --> 00:46:43,520 Speaker 1: actually very close and you did not go over, so 881 00:46:43,640 --> 00:46:46,839 Speaker 1: you win the showcase showdown. Netflix says they have picked 882 00:46:46,960 --> 00:46:52,759 Speaker 1: up sixteen million global subscribers. So you think about the 883 00:46:52,800 --> 00:46:56,560 Speaker 1: people that are benefiting from the pandemic. It's the streaming 884 00:46:56,560 --> 00:47:00,520 Speaker 1: services like Netflix, it's the what else the grocery trains. 885 00:47:00,760 --> 00:47:06,080 Speaker 1: Amazon is a beneficiary of this. I heart radio. Yeah, 886 00:47:06,080 --> 00:47:09,319 Speaker 1: I know. Unfortunately are our listenership has gone up, which 887 00:47:09,400 --> 00:47:12,320 Speaker 1: is which is wild to me. But anyway, so sixteen million. 888 00:47:12,360 --> 00:47:16,360 Speaker 1: I all right. Here's another one. At what age do 889 00:47:16,480 --> 00:47:20,719 Speaker 1: you become old? According to a survey, what age do 890 00:47:20,800 --> 00:47:23,000 Speaker 1: you become old? What's the official age when you are 891 00:47:23,080 --> 00:47:26,760 Speaker 1: an old? Fart man? I think this is a trick question. 892 00:47:27,480 --> 00:47:30,719 Speaker 1: I'm gonna say, you do, I'm gonna do do do 893 00:47:30,800 --> 00:47:34,520 Speaker 1: do do thirty? Do you think you're old at thirty? 894 00:47:34,640 --> 00:47:36,680 Speaker 1: I don't think so, but I think this is a 895 00:47:36,719 --> 00:47:39,239 Speaker 1: trick question. No, no, no, you're not not you're wrong, 896 00:47:39,360 --> 00:47:41,440 Speaker 1: your sense is wrong. It's not a trick question. And 897 00:47:41,960 --> 00:47:45,520 Speaker 1: when you're like eight years old, thirties old? Right, you know, 898 00:47:45,640 --> 00:47:48,279 Speaker 1: when you're ten years old, thirties old. But when you 899 00:47:48,320 --> 00:47:51,360 Speaker 1: get closer to thirties, suddenly thirties not old. The according 900 00:47:51,400 --> 00:47:56,120 Speaker 1: to this survey, you're officially old at age fifties seven, 901 00:47:56,480 --> 00:48:00,120 Speaker 1: you have become old. And they say the things that 902 00:48:00,239 --> 00:48:05,240 Speaker 1: make the perception that you're old include overall health obviously, 903 00:48:05,280 --> 00:48:09,680 Speaker 1: declining financial security once apparently once you reach financial security 904 00:48:09,719 --> 00:48:15,000 Speaker 1: you're old, wrinkles and weight gain. Wow, So that's what 905 00:48:15,080 --> 00:48:17,879 Speaker 1: they say. My my beards growing pretty long right now, 906 00:48:17,880 --> 00:48:20,839 Speaker 1: and I do show signs of greatness. It's I don't 907 00:48:20,840 --> 00:48:23,640 Speaker 1: know if that's good or bad. Welcome to my world. 908 00:48:24,120 --> 00:48:27,640 Speaker 1: Welcome but gray, though, aren't you? No, I'm not fully gray. 909 00:48:27,800 --> 00:48:30,359 Speaker 1: I'm I'm salt and pepper. More of the salt than 910 00:48:30,360 --> 00:48:33,920 Speaker 1: the pepper. All right, but yeah, alright. New survey found 911 00:48:33,960 --> 00:48:38,319 Speaker 1: the ten most romantic home cooked meals. How many of these? 912 00:48:38,360 --> 00:48:42,839 Speaker 1: Can you name? Mr? Romance over the meals? Like that? 913 00:48:42,920 --> 00:48:45,600 Speaker 1: Petros So, what's what's he called himself? Vance Romance or 914 00:48:45,640 --> 00:48:47,440 Speaker 1: something like that? You know. I worked at his dad's 915 00:48:47,480 --> 00:48:49,879 Speaker 1: restaurant my first job, and I was eighteen. I love 916 00:48:49,920 --> 00:48:54,720 Speaker 1: the old people. He threatened. His dad threatened to fire 917 00:48:54,800 --> 00:48:56,799 Speaker 1: me a week after I got hired if I did 918 00:48:56,840 --> 00:49:02,080 Speaker 1: not memorize Happy Birthday in Greek. Yeah, because we had 919 00:49:02,120 --> 00:49:05,080 Speaker 1: to sing to the guests that were there, so I 920 00:49:05,120 --> 00:49:07,680 Speaker 1: would have said, thank you, sir, I love your restaurant. 921 00:49:07,719 --> 00:49:10,520 Speaker 1: I will not be working here. That's a lot of fun, 922 00:49:10,560 --> 00:49:13,560 Speaker 1: I do remember it. Um, okay, home cooked meals that 923 00:49:13,600 --> 00:49:17,080 Speaker 1: are romantic. Steak, give me give me a few steaka 924 00:49:17,480 --> 00:49:26,320 Speaker 1: pasta alright, shrimp shrimp, I guess we could do lobster. Um, 925 00:49:26,480 --> 00:49:29,640 Speaker 1: so ye, lobster all right? Yeah, um, I guess you 926 00:49:29,719 --> 00:49:32,200 Speaker 1: might as well include salad, right, Can you include that? 927 00:49:33,239 --> 00:49:37,040 Speaker 1: It's food, you can put it in there. Um? I mean, 928 00:49:37,640 --> 00:49:42,160 Speaker 1: can I include wine? That's a drink that's not a food, 929 00:49:42,239 --> 00:49:46,480 Speaker 1: I know, but it comes with you know, your parents? Salmon, salmon? 930 00:49:46,520 --> 00:49:51,399 Speaker 1: You conclude yet I'll include I'll include salmon and um 931 00:49:52,440 --> 00:49:57,239 Speaker 1: how about lamb? Lamb? Yeah? All right, very offensive? People 932 00:49:57,360 --> 00:50:00,879 Speaker 1: love lambs. All right, let me give you the list. 933 00:50:00,920 --> 00:50:04,080 Speaker 1: Here we are. These are the ten survey found ten 934 00:50:04,120 --> 00:50:06,960 Speaker 1: most romantic home cooked meals, which is appropriate because of 935 00:50:06,960 --> 00:50:09,799 Speaker 1: what's going on right now. They are all right, here 936 00:50:09,840 --> 00:50:12,200 Speaker 1: we go. Steak, you got that one night, Good job 937 00:50:12,239 --> 00:50:15,160 Speaker 1: by you. Pasta you got that one right, good job? 938 00:50:15,480 --> 00:50:18,319 Speaker 1: Chicken nice did not? I don't think you included chicken 939 00:50:18,320 --> 00:50:23,200 Speaker 1: on this pizza really romantic pizza. Everyone knows pizza man 940 00:50:23,360 --> 00:50:28,319 Speaker 1: Burgers is on that list. That's uh, lobster, mac and cheese. 941 00:50:29,239 --> 00:50:35,160 Speaker 1: All right? How about this one soup? Soup? Who the 942 00:50:35,239 --> 00:50:39,160 Speaker 1: fox like soups are romantic? Really? Is that because you 943 00:50:39,160 --> 00:50:40,839 Speaker 1: have to slurp it up and people look at your 944 00:50:40,880 --> 00:50:43,120 Speaker 1: lips or something like that? It's weird man. I don't know. 945 00:50:43,160 --> 00:50:44,719 Speaker 1: You don't even know. If they didn't terpret that like 946 00:50:44,760 --> 00:50:47,200 Speaker 1: with clam chowder or something like that, that's odd. I've 947 00:50:47,239 --> 00:50:52,040 Speaker 1: never heard. No, but's on this list. Tacos. I love tacos. 948 00:50:52,120 --> 00:50:57,759 Speaker 1: It's good tacos, great crunchy though, gringo tacos. Sushi you 949 00:50:57,800 --> 00:50:59,920 Speaker 1: should have said sushi. That's it's a home cooked meal 950 00:51:00,800 --> 00:51:05,799 Speaker 1: out here. And risotto is also on the list. So there, 951 00:51:05,840 --> 00:51:08,680 Speaker 1: that's the list of romantic foods. According to this new survey, 952 00:51:08,719 --> 00:51:12,279 Speaker 1: it is pop quiz. What's next here? Uh? This breakfast 953 00:51:12,320 --> 00:51:15,839 Speaker 1: item was created in the late nineties seventies kind of 954 00:51:16,080 --> 00:51:20,719 Speaker 1: by accident, kind of by accident, and is still They 955 00:51:20,760 --> 00:51:24,600 Speaker 1: still sell tons of these to this day. What breakfast 956 00:51:24,600 --> 00:51:27,279 Speaker 1: foo do you think was created by accident? As E 957 00:51:27,480 --> 00:51:30,759 Speaker 1: goes all right, E goes a fine, guess that is incorrect. 958 00:51:30,800 --> 00:51:37,560 Speaker 1: The answer is the everything bagel. That everything bagel was 959 00:51:37,600 --> 00:51:42,520 Speaker 1: a mistake and it worked. What's your favorite bagel? You 960 00:51:42,600 --> 00:51:45,760 Speaker 1: a bagel guy? Really? No, you don't like the bagels. 961 00:51:45,800 --> 00:51:49,200 Speaker 1: I mean, I like bagels, but bagels and doughnuts. Fan. 962 00:51:49,600 --> 00:51:51,520 Speaker 1: Back when I was in my big eaten days, there's 963 00:51:51,560 --> 00:51:54,360 Speaker 1: few things better than eating any food fresh is great, 964 00:51:54,480 --> 00:51:57,000 Speaker 1: but there are a few things better than going into 965 00:51:57,080 --> 00:52:00,480 Speaker 1: a donut shop or a bagel shop and getting it 966 00:52:00,640 --> 00:52:04,279 Speaker 1: right out of the oven. Oh my god, but they 967 00:52:04,600 --> 00:52:06,440 Speaker 1: said everything bagel for those that don't know, if you're 968 00:52:06,440 --> 00:52:08,360 Speaker 1: not a bagel person, that's got the poppy seeds and 969 00:52:08,440 --> 00:52:10,640 Speaker 1: sesame seeds, and the onion flakes, the garlic flakes, the 970 00:52:10,640 --> 00:52:15,280 Speaker 1: pretzel salt at the pepper, all that. And it started 971 00:52:15,280 --> 00:52:18,360 Speaker 1: out as an error. Last year when I went to 972 00:52:18,440 --> 00:52:21,960 Speaker 1: Philadelphia the for the first time. I got into Penn 973 00:52:22,040 --> 00:52:25,920 Speaker 1: Station and the bagels they were pretty fucking good. And 974 00:52:25,640 --> 00:52:27,840 Speaker 1: I had I got there early, like seven or eight 975 00:52:27,880 --> 00:52:30,279 Speaker 1: o'clock in the morning. Said the eggs on top and 976 00:52:30,320 --> 00:52:33,560 Speaker 1: the bacon in it too. It was the bagels are 977 00:52:33,560 --> 00:52:36,680 Speaker 1: pretty delicious. I know that everything in Philadelphia tastes good. Man. 978 00:52:37,000 --> 00:52:38,759 Speaker 1: I gotta get back to Philly once this is I 979 00:52:38,840 --> 00:52:41,839 Speaker 1: gotta go some traveling, not to see the world, all right. 980 00:52:42,000 --> 00:52:47,200 Speaker 1: A new survey claims that roughly one in three Americans 981 00:52:47,280 --> 00:52:51,960 Speaker 1: would rather give up showering instead of losing this for 982 00:52:52,040 --> 00:52:56,520 Speaker 1: one month. What do you think now? Keep in mind 983 00:52:56,560 --> 00:52:58,640 Speaker 1: some of our listeners on the radio show have given 984 00:52:58,680 --> 00:53:05,920 Speaker 1: up showering I would say, give up showering over television. 985 00:53:06,239 --> 00:53:11,680 Speaker 1: Television all right, Well you're not right technology, I guess. Yeah, 986 00:53:11,800 --> 00:53:18,279 Speaker 1: that's a broad umbrella. Um you're you're it is internet access. Yeah, 987 00:53:18,280 --> 00:53:22,640 Speaker 1: I mean that's you'd rather have WiFi than you know, 988 00:53:22,680 --> 00:53:26,399 Speaker 1: the shower, right, Yeah, I think so, especially now because 989 00:53:26,440 --> 00:53:28,400 Speaker 1: you can't it's not like you know most of us 990 00:53:28,560 --> 00:53:30,840 Speaker 1: what you're supposed to shower just you don't want to 991 00:53:30,840 --> 00:53:32,640 Speaker 1: be a pig and a pig pan and all that. 992 00:53:32,680 --> 00:53:34,520 Speaker 1: But it's not like you can go out and hang 993 00:53:34,520 --> 00:53:36,440 Speaker 1: out with anybody. So you know what I mean, how 994 00:53:36,520 --> 00:53:38,680 Speaker 1: much money do you think you've you've saved so far 995 00:53:39,080 --> 00:53:44,440 Speaker 1: on not shaving and not getting a haircut. With a haircut, 996 00:53:44,760 --> 00:53:47,200 Speaker 1: I don't get me started on barbers. Every time I 997 00:53:47,200 --> 00:53:49,080 Speaker 1: go to the barber, one day, it's one time I go, 998 00:53:49,160 --> 00:53:52,319 Speaker 1: it's fifteen bucks, next time it's twenty. You know, they 999 00:53:52,400 --> 00:53:54,319 Speaker 1: changed the price every fucking time. And it's not like 1000 00:53:54,360 --> 00:53:56,400 Speaker 1: I have a lot of hair anymore that they have 1001 00:53:56,440 --> 00:54:00,080 Speaker 1: to cut the fucking Yeah. But I I've I'm comeing 1002 00:54:00,120 --> 00:54:03,040 Speaker 1: out of head on this because I'm saving I My 1003 00:54:03,239 --> 00:54:07,520 Speaker 1: gas alone every week was probably around I had to 1004 00:54:07,560 --> 00:54:10,719 Speaker 1: fill up usually twice a week, so that's like a 1005 00:54:10,840 --> 00:54:13,279 Speaker 1: hundred and twenty. I think it was when gas was 1006 00:54:13,320 --> 00:54:17,439 Speaker 1: really expensive, roughly twenty on gas a week. And then 1007 00:54:17,520 --> 00:54:20,200 Speaker 1: the barbershop is you know, every couple of months is 1008 00:54:20,239 --> 00:54:25,120 Speaker 1: like Bucks, so you attack that on. Eating out is 1009 00:54:25,160 --> 00:54:28,080 Speaker 1: more expensive than eating home, and we've just been eating 1010 00:54:28,080 --> 00:54:29,759 Speaker 1: at home, so it's cheaper to eat at home, so 1011 00:54:29,800 --> 00:54:33,200 Speaker 1: I probably saved. I have actually done pretty well here 1012 00:54:33,239 --> 00:54:35,640 Speaker 1: saving money because of all the things we're not spending. 1013 00:54:35,840 --> 00:54:38,879 Speaker 1: That's great. Good for you, Ben. I'm really happy here 1014 00:54:38,880 --> 00:54:41,080 Speaker 1: we go. This is all right, there you go. That's 1015 00:54:41,120 --> 00:54:49,080 Speaker 1: the narcissist voice, David, extremely happy for your circumstances. Uh. 1016 00:54:49,080 --> 00:54:52,040 Speaker 1: And I have had to shave because since the cameras on, 1017 00:54:52,080 --> 00:54:54,759 Speaker 1: I don't want to look like a complete stumph. Yeah. 1018 00:54:54,800 --> 00:54:59,720 Speaker 1: I mean it's bullshit. Was it bullshit? Because your cares 1019 00:55:00,000 --> 00:55:02,160 Speaker 1: you should look that, you should rock the grungey look, 1020 00:55:02,239 --> 00:55:05,680 Speaker 1: you should look like you're in playoff mode. Man. People. 1021 00:55:05,760 --> 00:55:08,080 Speaker 1: That's already bad enough that they say that goofing on 1022 00:55:08,160 --> 00:55:10,719 Speaker 1: my glasses, you know, my bifocals and all that. You know, 1023 00:55:10,760 --> 00:55:12,719 Speaker 1: I've had Chris and Houston said I look like a 1024 00:55:12,760 --> 00:55:15,600 Speaker 1: mafioso guy. And then somebody else is like, it's just 1025 00:55:15,640 --> 00:55:18,719 Speaker 1: goofing on me, and um so my tribute to Harry 1026 00:55:18,760 --> 00:55:23,319 Speaker 1: carry all? Right? Another another question? Only of Americans can 1027 00:55:23,440 --> 00:55:27,480 Speaker 1: remember this set of numbers from our past? What is 1028 00:55:27,520 --> 00:55:34,200 Speaker 1: it our home telephone number? Uh? No, but hold address? 1029 00:55:34,920 --> 00:55:39,120 Speaker 1: No license plate from your first car? Oh I never 1030 00:55:39,280 --> 00:55:41,839 Speaker 1: knew that. Yeah, I don't know that either. I don't 1031 00:55:41,840 --> 00:55:43,719 Speaker 1: even really know the license plate on my car right now? 1032 00:55:43,800 --> 00:55:45,160 Speaker 1: To be don't see that if you go to check 1033 00:55:45,320 --> 00:55:48,160 Speaker 1: do you know your do you know your driver's license number? 1034 00:55:48,239 --> 00:55:50,080 Speaker 1: I do not know. I don't have a memorize. You 1035 00:55:50,120 --> 00:55:51,720 Speaker 1: have my wife always, so we just have a memorize. 1036 00:55:51,719 --> 00:55:52,759 Speaker 1: You don't really need that, you know. I was like, 1037 00:55:52,800 --> 00:55:56,400 Speaker 1: I don't know it. Yeah, you do. You have memorizemembers 1038 00:55:56,560 --> 00:55:58,840 Speaker 1: because your dad ran the L A p. D. Probably 1039 00:55:59,280 --> 00:56:01,080 Speaker 1: drilled you to do it. No, he did not do. 1040 00:56:01,160 --> 00:56:04,920 Speaker 1: I'm just good with numbers, right. Uh. Study shows that 1041 00:56:05,080 --> 00:56:11,240 Speaker 1: coffee is the most recognizable spell smell rather peanut butter 1042 00:56:11,400 --> 00:56:15,960 Speaker 1: is second. What is third? Do do do do do 1043 00:56:17,560 --> 00:56:21,279 Speaker 1: of any food? Or just anything in general? Anything in 1044 00:56:21,320 --> 00:56:24,919 Speaker 1: general does not have to be a food. Gasoline gasoline. 1045 00:56:25,040 --> 00:56:26,799 Speaker 1: That's actually a good guess. I love to smell a 1046 00:56:28,920 --> 00:56:33,080 Speaker 1: smell that gasoline really bad for you, but it smells great, 1047 00:56:33,640 --> 00:56:39,799 Speaker 1: smells really good. Uh. The answer is a rose. The 1048 00:56:39,840 --> 00:56:42,560 Speaker 1: smell of a rose. I think that might be bullshit, though, 1049 00:56:42,600 --> 00:56:46,920 Speaker 1: I don't know, right, I mean, all right. In an 1050 00:56:46,960 --> 00:56:51,719 Speaker 1: attempt to get kids to eat more vegetables, McDonald's one 1051 00:56:52,040 --> 00:56:59,040 Speaker 1: once made broccoli flavored like what, like French fries. Well 1052 00:56:59,040 --> 00:57:01,560 Speaker 1: that I would. I would have eaten broccoli if it 1053 00:57:01,680 --> 00:57:06,400 Speaker 1: was tasting like French fries. But no bubble gum. That's trash. 1054 00:57:06,920 --> 00:57:08,839 Speaker 1: Yeah what idiots like that must have been in the 1055 00:57:08,920 --> 00:57:11,920 Speaker 1: nineteen seventies, and those cutes like bubble gum will make 1056 00:57:11,960 --> 00:57:17,200 Speaker 1: bubble gum broccoli. Yeah, alright. New survey says roughly of 1057 00:57:17,240 --> 00:57:21,360 Speaker 1: Americans are now doing this less often than they were 1058 00:57:21,440 --> 00:57:24,320 Speaker 1: just a few months ago. What is it? I'd say showering, 1059 00:57:24,360 --> 00:57:29,560 Speaker 1: but no text messaging. No, people are doing more text 1060 00:57:29,600 --> 00:57:32,840 Speaker 1: mess I think people are calling more. No, they're still texting. 1061 00:57:32,880 --> 00:57:37,600 Speaker 1: Most people would rather text than call. Um, I don't talk. 1062 00:57:37,680 --> 00:57:40,880 Speaker 1: I don't know, all right. Brushing their teeth what, yeah, 1063 00:57:42,000 --> 00:57:46,560 Speaker 1: less about that. Roughly of Americans are brushing their teeth 1064 00:57:46,600 --> 00:57:48,560 Speaker 1: less than they were a few months ago. That's embarrassed. 1065 00:57:48,640 --> 00:57:50,440 Speaker 1: Is that because they're not going out and it's like, 1066 00:57:50,480 --> 00:57:53,200 Speaker 1: who cares? I don't need to worry about it. I guess, man, 1067 00:57:53,280 --> 00:57:55,040 Speaker 1: brush my teeth first thing in the morning and I 1068 00:57:55,080 --> 00:57:57,800 Speaker 1: want to go to bed. Alright. A recent survey, I 1069 00:57:57,840 --> 00:57:59,640 Speaker 1: don't think we use this one before. A recent survey 1070 00:57:59,680 --> 00:58:02,120 Speaker 1: claim having one of these near your home? Do we 1071 00:58:02,120 --> 00:58:06,000 Speaker 1: do this one will increase the value by almost double one? 1072 00:58:06,000 --> 00:58:09,880 Speaker 1: What is it? Um, you have this near your home, 1073 00:58:09,960 --> 00:58:13,120 Speaker 1: your value will go through the room. Gosh, I'm either 1074 00:58:13,200 --> 00:58:17,600 Speaker 1: guessing I consider the ocean. Um, well, you Mr Western 1075 00:58:17,640 --> 00:58:19,840 Speaker 1: floor or five would know about that. Those of us 1076 00:58:19,840 --> 00:58:21,480 Speaker 1: that live east to the four or five would not 1077 00:58:21,520 --> 00:58:24,320 Speaker 1: know about that. It's beautiful to look at every day. Um, 1078 00:58:25,200 --> 00:58:32,440 Speaker 1: I'm either gonna say a school or yeah, no, a mall, 1079 00:58:32,600 --> 00:58:37,280 Speaker 1: big mall. Okay, uh no, it's a Starbucks. So if 1080 00:58:37,280 --> 00:58:39,760 Speaker 1: you have a Starbucks near your house, they say that 1081 00:58:39,840 --> 00:58:42,680 Speaker 1: your home will increase in value by almost double wow. 1082 00:58:42,880 --> 00:58:45,800 Speaker 1: All right, yeah, alright, let's see who else do you 1083 00:58:46,160 --> 00:58:48,320 Speaker 1: walt did? I was gonna say, you do not have 1084 00:58:48,360 --> 00:58:51,560 Speaker 1: a Starbucks next to your house? Actually we have one 1085 00:58:51,640 --> 00:58:53,600 Speaker 1: not neck right next to it, but this one not 1086 00:58:53,680 --> 00:58:56,520 Speaker 1: that for it's like like a mile away, a mile 1087 00:58:56,560 --> 00:58:59,640 Speaker 1: and a half away, a couple of streets over all. Right, 1088 00:59:00,000 --> 00:59:01,720 Speaker 1: see yeah, if you go see, if you go north 1089 00:59:01,800 --> 00:59:05,040 Speaker 1: where I live, North is pretty nice. South is is 1090 00:59:05,160 --> 00:59:08,280 Speaker 1: the hood. Yeah, so you gotta keep going north, don't 1091 00:59:08,280 --> 00:59:10,680 Speaker 1: go south. That's the key, Thames. A point of demarcation, 1092 00:59:10,800 --> 00:59:12,360 Speaker 1: much like the four or five freeway for you is 1093 00:59:12,400 --> 00:59:15,680 Speaker 1: the point of demarcation for me. It's a certain highway 1094 00:59:15,840 --> 00:59:18,479 Speaker 1: that you just going to want to avoid just after 1095 00:59:18,520 --> 00:59:20,280 Speaker 1: going to your Christmas party and having to pick up 1096 00:59:20,320 --> 00:59:23,600 Speaker 1: some gas because it's a great deal away from my house. 1097 00:59:23,680 --> 00:59:26,840 Speaker 1: So that's okay. Let me get my violine out here, 1098 00:59:26,920 --> 00:59:29,120 Speaker 1: play a little music for you, all right, Uh, it's 1099 00:59:29,240 --> 00:59:32,600 Speaker 1: it's a small Violince Walt Disney decided there should be 1100 00:59:32,720 --> 00:59:37,640 Speaker 1: one of these every thirty steps in Disney World. What 1101 00:59:37,840 --> 00:59:47,080 Speaker 1: is it? A character? No, a trash can. It's pretty smart. Interesting. 1102 00:59:47,360 --> 00:59:49,280 Speaker 1: You know the famous story about Dodger Stadium though when 1103 00:59:49,280 --> 00:59:51,120 Speaker 1: they when the open Dodger Stadium, they didn't have enough 1104 00:59:51,200 --> 00:59:53,280 Speaker 1: drinking fountains was the thing they didn't have enough of. 1105 00:59:53,320 --> 00:59:56,480 Speaker 1: And they had they didn't include drinking phones. I remember. 1106 00:59:56,480 --> 00:59:58,040 Speaker 1: I think the matter at like one or two or whatever. 1107 00:59:58,080 --> 00:59:59,960 Speaker 1: It was, and so they had to install all these 1108 01:00:00,040 --> 01:00:02,640 Speaker 1: drinking founds after they've already built Dodger Stadium because they 1109 01:00:02,640 --> 01:00:06,320 Speaker 1: didn't have enough for the fans on those hot day games. 1110 01:00:06,440 --> 01:00:11,200 Speaker 1: Man was that? Yeah? Yeah, because they played they came 1111 01:00:11,200 --> 01:00:13,760 Speaker 1: from Brooklyn, played at the Colosseum for a few years 1112 01:00:13,760 --> 01:00:16,840 Speaker 1: and then Dodgers stayed. Um open up, all right, a 1113 01:00:17,040 --> 01:00:20,040 Speaker 1: most women, Oh this is good. Most women say they 1114 01:00:20,120 --> 01:00:23,160 Speaker 1: don't want a man who is one of these? What 1115 01:00:23,360 --> 01:00:25,760 Speaker 1: is it? Um? What do the ladies say they don't 1116 01:00:25,800 --> 01:00:29,160 Speaker 1: want they don't want this in the manor Here we go, 1117 01:00:29,960 --> 01:00:33,200 Speaker 1: Here we go, trigger anybody, Here we go, you've already 1118 01:00:33,200 --> 01:00:35,920 Speaker 1: triggered everybody. Guess God, you don't gay. You're getting you're 1119 01:00:35,960 --> 01:00:39,280 Speaker 1: getting excited. Hitting buttons is what you're doing. They don't 1120 01:00:39,280 --> 01:00:44,040 Speaker 1: want a frugal man, a frugal man. Yeah, yeah, no, 1121 01:00:44,080 --> 01:00:48,320 Speaker 1: you're not right. They don't want women do not want 1122 01:00:48,440 --> 01:00:55,560 Speaker 1: a feminist. That isn't that great? Yeah, that's good. So 1123 01:00:55,600 --> 01:00:58,400 Speaker 1: all these you know, we've all known guys, guesscn that 1124 01:00:58,840 --> 01:01:00,800 Speaker 1: think their way to get in the pants of a 1125 01:01:00,880 --> 01:01:03,680 Speaker 1: lady is to be a feminist, right and then, but 1126 01:01:03,760 --> 01:01:06,240 Speaker 1: apparently the long term that's not the case. Women like 1127 01:01:06,440 --> 01:01:11,880 Speaker 1: the traditional testosterone field lunatic man or more that direction 1128 01:01:11,960 --> 01:01:15,400 Speaker 1: than a Mr. Softy feminist. Yeah, I was gonna say, 1129 01:01:15,440 --> 01:01:18,360 Speaker 1: I was gonna say a beta. But yeah, that's that's good. 1130 01:01:18,440 --> 01:01:21,040 Speaker 1: I know you love beta all the time. Here's the 1131 01:01:21,120 --> 01:01:25,280 Speaker 1: text conversation with guests, your your omega, I'm a beta. 1132 01:01:26,440 --> 01:01:29,080 Speaker 1: I would never say that to you, said that like 1133 01:01:29,160 --> 01:01:33,000 Speaker 1: seven times a week, you know I did not. Alright, 1134 01:01:33,040 --> 01:01:35,880 Speaker 1: the longest anyone has been able to do this activity 1135 01:01:35,960 --> 01:01:40,600 Speaker 1: is a hundred straight hours. What activity is? Meditate? Meditate? 1136 01:01:40,680 --> 01:01:44,320 Speaker 1: All right, that is incorrect. How about hula hooping? What 1137 01:01:44,400 --> 01:01:47,880 Speaker 1: then you imagine hula hooping for a hundred straight hours? 1138 01:01:47,920 --> 01:01:49,800 Speaker 1: First of all, why would you want to do it? Secondly, 1139 01:01:49,960 --> 01:01:52,360 Speaker 1: who's gonna stand there and keep track to make sure 1140 01:01:52,400 --> 01:01:55,800 Speaker 1: you didn't stop hula hooping for a hundred hours? Yeah, 1141 01:01:55,920 --> 01:01:59,040 Speaker 1: it's pretty pretty ridiculous. All right. Uh, this one hits 1142 01:01:59,040 --> 01:02:03,680 Speaker 1: close to home. Whilst stuck in quarantine with your spouse, family, etcetera. 1143 01:02:04,040 --> 01:02:07,800 Speaker 1: This is what bothers you the most? What is it 1144 01:02:09,000 --> 01:02:13,320 Speaker 1: the thing that bothers people the most while hanging out 1145 01:02:13,360 --> 01:02:18,960 Speaker 1: with their spouse, family, et cetera. Their smell. Yeah that's 1146 01:02:18,960 --> 01:02:21,640 Speaker 1: a good one, but it's not the answer here. The 1147 01:02:21,680 --> 01:02:28,320 Speaker 1: answer is chewing your food loudly. This is called miss aphonia. 1148 01:02:28,520 --> 01:02:32,960 Speaker 1: My wife has chronic missophony's mental illness, and she is 1149 01:02:33,240 --> 01:02:36,400 Speaker 1: she's been treating it by turning on the television when 1150 01:02:36,400 --> 01:02:37,919 Speaker 1: I eat. She does not like the way I chew 1151 01:02:38,000 --> 01:02:43,200 Speaker 1: my She is bothered by that. And bad news though, 1152 01:02:43,840 --> 01:02:48,400 Speaker 1: because you just opened up Pandora's box. Because what did 1153 01:02:48,440 --> 01:02:50,560 Speaker 1: I do? Now I know exactly how to trigger her 1154 01:02:50,600 --> 01:02:54,640 Speaker 1: the next time. Oh yeah, no, you should. Next time 1155 01:02:54,640 --> 01:02:57,760 Speaker 1: you come over, get some really loud, you know, bubble 1156 01:02:57,840 --> 01:03:00,680 Speaker 1: gum and start chewing it like you're like a donkey 1157 01:03:00,840 --> 01:03:02,880 Speaker 1: or a horse chewing you know that kind of thing 1158 01:03:03,200 --> 01:03:08,440 Speaker 1: or cow. Yeah. Oh, she can't stand that. Gets triggered 1159 01:03:08,440 --> 01:03:11,240 Speaker 1: by that. Well. She upset me one time because I 1160 01:03:11,240 --> 01:03:13,360 Speaker 1: guess I was eating so loud. She turned on her 1161 01:03:13,640 --> 01:03:16,840 Speaker 1: music on her phone. Oh my god, and that was 1162 01:03:16,880 --> 01:03:18,760 Speaker 1: I gets. I'm okay with the TV, but when you're 1163 01:03:18,760 --> 01:03:20,440 Speaker 1: turning music on your phone, like, I felt like that 1164 01:03:20,480 --> 01:03:22,760 Speaker 1: crossed the line. I was like, that's a little too much. 1165 01:03:22,800 --> 01:03:24,720 Speaker 1: But we we handled it out, We talked it out, 1166 01:03:24,800 --> 01:03:26,760 Speaker 1: so it's it's all good, all right. Last one on 1167 01:03:26,800 --> 01:03:28,640 Speaker 1: pop Quiz, I know we're getting along on this. A 1168 01:03:28,720 --> 01:03:34,080 Speaker 1: new survey says nearly half of Americans I think you 1169 01:03:34,080 --> 01:03:36,960 Speaker 1: should wait until the age of twenty five to do this. 1170 01:03:37,080 --> 01:03:40,320 Speaker 1: To get married, Uh well, yeah, I would agree with 1171 01:03:40,400 --> 01:03:43,320 Speaker 1: you on that answer. To move in with someone, No, 1172 01:03:43,640 --> 01:03:47,720 Speaker 1: the answer is to get a credit card. Yeah. I 1173 01:03:47,800 --> 01:03:50,280 Speaker 1: heard that when I was a kid. Yeah, was growing up. Yeah, 1174 01:03:50,280 --> 01:03:52,280 Speaker 1: you shouldn't get a credit But then my mom was like, well, no, 1175 01:03:52,440 --> 01:03:53,960 Speaker 1: you need to start. You're getting good credit, so you 1176 01:03:53,960 --> 01:03:56,040 Speaker 1: gotta start young and then don't use it, but we'll 1177 01:03:56,040 --> 01:03:59,320 Speaker 1: get your credit card, you know, sporadically use it. So yeah, 1178 01:03:59,480 --> 01:04:01,560 Speaker 1: I got my first credit card when I was eighteen, 1179 01:04:02,560 --> 01:04:04,640 Speaker 1: and um, you know, if if you need some help 1180 01:04:04,680 --> 01:04:10,600 Speaker 1: on credit repair things like that. R Yeah, FICO score 1181 01:04:10,720 --> 01:04:14,919 Speaker 1: gas guy, he's narcissist. He brags about his FICO score. Yeah, 1182 01:04:14,960 --> 01:04:18,440 Speaker 1: he sends me Republican talking points. Good things from David Gasco. 1183 01:04:18,520 --> 01:04:22,080 Speaker 1: I'm wonderful. I'm gonna mill you a nice folded rat 1184 01:04:22,200 --> 01:04:25,840 Speaker 1: Confederate flat. Yeah, you've got that going on. You've got 1185 01:04:25,840 --> 01:04:33,400 Speaker 1: your little hoodie there alright. Anyway, listen, have a great weekend. 1186 01:04:33,400 --> 01:04:35,400 Speaker 1: I'm glad you have done a little the podcast. Thanks 1187 01:04:35,440 --> 01:04:37,960 Speaker 1: if you didn't miss yesterday's podcast. If you did miss, 1188 01:04:38,040 --> 01:04:40,160 Speaker 1: rather the podcast with sports Stock Bear. I thought that 1189 01:04:40,200 --> 01:04:43,440 Speaker 1: was interesting. Check that out and we'll keep the train 1190 01:04:43,560 --> 01:04:47,120 Speaker 1: moving down the tracks here. Follow us on social media. 1191 01:04:47,280 --> 01:04:50,080 Speaker 1: I'm on every platform pretty much out there. I am 1192 01:04:50,120 --> 01:04:54,760 Speaker 1: on Instagram, Ben Maller on Fox. Follow me on Facebook 1193 01:04:54,880 --> 01:04:58,840 Speaker 1: Ben Mallard Show, and also, don't forget you can follow 1194 01:04:58,880 --> 01:05:01,440 Speaker 1: me the old fashioned way on Twitter at Ben Mallord. 1195 01:05:01,640 --> 01:05:04,640 Speaker 1: Gascon is not on Facebook, but he's on those other yes, 1196 01:05:05,000 --> 01:05:07,960 Speaker 1: on Twitter at David J. Gascon and also on Facebook 1197 01:05:08,000 --> 01:05:11,360 Speaker 1: all right, Instagram, excuse me at Dave Gascon. All right, 1198 01:05:11,440 --> 01:05:13,360 Speaker 1: stay healthy, you have a great day today, and we'll 1199 01:05:13,400 --> 01:05:14,120 Speaker 1: catch you next time.