1 00:00:02,200 --> 00:00:05,680 Speaker 1: If you thought more hours a day, minutes a week 2 00:00:05,800 --> 00:00:09,200 Speaker 1: was enough, I think again. He's the last remnants of 3 00:00:09,240 --> 00:00:12,880 Speaker 1: the old republic, a sole fashion of fairness. He treats 4 00:00:12,880 --> 00:00:15,760 Speaker 1: crackheads in the ghetto cutter the same as the rich 5 00:00:15,800 --> 00:00:19,799 Speaker 1: pill poppers in the penthouse the clearing House of hot 6 00:00:19,840 --> 00:00:23,560 Speaker 1: takes break free for something special. The Fifth Hour with 7 00:00:23,760 --> 00:00:28,480 Speaker 1: Ben Maller starts right now. That it does, and we 8 00:00:28,520 --> 00:00:31,480 Speaker 1: are ready to ignite the engine is what we're gonna 9 00:00:31,480 --> 00:00:35,720 Speaker 1: do here and fan the flames of marginal conversation. Not 10 00:00:35,840 --> 00:00:38,400 Speaker 1: so much as sports talk show. This is just I 11 00:00:38,440 --> 00:00:40,519 Speaker 1: don't know what you would describe the Fifth Hour. It's 12 00:00:40,560 --> 00:00:43,200 Speaker 1: morphed into something else. We actually we've had our rebellion 13 00:00:43,280 --> 00:00:46,680 Speaker 1: here and the show about nothing much like the Overnight 14 00:00:46,680 --> 00:00:50,280 Speaker 1: shows a show about nothing. This show pretty much about nothing. 15 00:00:50,320 --> 00:00:52,919 Speaker 1: But we are ready to go. It's me Mallard and 16 00:00:53,120 --> 00:00:58,680 Speaker 1: Gascon helping you and your social distancing, and I'm all 17 00:00:58,720 --> 00:01:01,680 Speaker 1: about that social distance boss. On this episode of the 18 00:01:01,680 --> 00:01:05,279 Speaker 1: Fifth Hour, we have studied this, actual studies will examine 19 00:01:05,319 --> 00:01:07,920 Speaker 1: those and don't stick to sports stories of the week. 20 00:01:08,000 --> 00:01:11,600 Speaker 1: Guests gone, my god, this is so much extra work. 21 00:01:11,760 --> 00:01:15,160 Speaker 1: I can't believe it. Here guests. Guy, I'm waiting for 22 00:01:15,200 --> 00:01:17,399 Speaker 1: the day that I get the thank you from you 23 00:01:17,480 --> 00:01:21,080 Speaker 1: after doing a podcast like a job. You know, good 24 00:01:21,160 --> 00:01:24,040 Speaker 1: job out on the back, appreciate the effort. Let's do 25 00:01:24,040 --> 00:01:28,720 Speaker 1: this again next week. Let's run it back. No, well, 26 00:01:28,840 --> 00:01:33,199 Speaker 1: you are the narcissist, as we've talked about, and entirely true. 27 00:01:33,200 --> 00:01:35,800 Speaker 1: You know that to be true. Um, but no, I'm 28 00:01:35,840 --> 00:01:38,800 Speaker 1: not a guy that stops and smells the roses. Well 29 00:01:38,920 --> 00:01:41,679 Speaker 1: I don't stop and smell the roses. To be fair, 30 00:01:41,800 --> 00:01:44,440 Speaker 1: the Mallard train has come to a full complete stop 31 00:01:44,520 --> 00:01:47,120 Speaker 1: over the next probably a month, month and a half. Yes, 32 00:01:48,360 --> 00:01:50,720 Speaker 1: I think the Mallard train is not gonna be moving 33 00:01:50,840 --> 00:01:55,160 Speaker 1: for maybe till June. Oh boy, imagine this has got 34 00:01:55,240 --> 00:01:58,880 Speaker 1: good till June. The recession that will follow if we 35 00:01:58,920 --> 00:02:03,120 Speaker 1: don't have people working. We need sports, baby, we need 36 00:02:03,520 --> 00:02:07,400 Speaker 1: fucking sports. Yeah, we definitely do. All right, So let's 37 00:02:07,400 --> 00:02:10,680 Speaker 1: get to study this in the way this bit works. 38 00:02:10,720 --> 00:02:12,960 Speaker 1: If you're new to the podcast, and I understand, we've 39 00:02:12,960 --> 00:02:15,560 Speaker 1: got more people listening now than ever because people are 40 00:02:15,639 --> 00:02:18,239 Speaker 1: really desperate for things to listen to, even crappy shows 41 00:02:18,280 --> 00:02:21,000 Speaker 1: like this. So, uh, the study this bit. Is it 42 00:02:21,160 --> 00:02:25,359 Speaker 1: real or bullshit. I love these science reports. I read 43 00:02:25,400 --> 00:02:27,200 Speaker 1: these websites all the time, and then we try to 44 00:02:27,240 --> 00:02:30,160 Speaker 1: determine whether or not this has any muscle or just 45 00:02:30,240 --> 00:02:34,359 Speaker 1: completely made up crap. First one comes from a Nike. 46 00:02:35,000 --> 00:02:40,519 Speaker 1: Nike backed researchers have invented a wearable ankle echo skeleton. 47 00:02:41,240 --> 00:02:45,280 Speaker 1: They say that makes running fourteen percent easier compared to 48 00:02:45,400 --> 00:02:48,120 Speaker 1: normal running shoes. So it's a they're gonna reinvent the 49 00:02:48,200 --> 00:02:51,760 Speaker 1: running shoe. The invention, they say there was likely years 50 00:02:51,760 --> 00:02:56,560 Speaker 1: away from hitting stores different Nike stores, but they claim 51 00:02:56,760 --> 00:03:01,080 Speaker 1: it could eventually keep people running later in life or 52 00:03:01,200 --> 00:03:05,040 Speaker 1: when injured. About that, I'm gonna call bullshit on that 53 00:03:05,600 --> 00:03:08,760 Speaker 1: because even if it helps your feet, what does it 54 00:03:08,800 --> 00:03:12,239 Speaker 1: do for your knees and your hips? Well, that's the 55 00:03:12,639 --> 00:03:14,400 Speaker 1: running problem. I I will tell you my dad and 56 00:03:14,400 --> 00:03:17,360 Speaker 1: my my brother in New York is a big runner. 57 00:03:17,360 --> 00:03:19,919 Speaker 1: He's run the New York Marathon multiple times, and he's 58 00:03:19,919 --> 00:03:22,160 Speaker 1: in a running club and they just like run around 59 00:03:22,280 --> 00:03:26,320 Speaker 1: the Midtown Manhattan area and all that. He for a 60 00:03:26,360 --> 00:03:32,400 Speaker 1: while was running not barefoot, but he had essentially it 61 00:03:32,400 --> 00:03:34,600 Speaker 1: was essentially barefoot. It was just like a thin layer 62 00:03:34,639 --> 00:03:37,800 Speaker 1: like a sock type thing that I used. Some people 63 00:03:37,800 --> 00:03:39,960 Speaker 1: in the running community have that, and he loved that. 64 00:03:40,040 --> 00:03:41,360 Speaker 1: He did that for a long time. Those were the 65 00:03:41,400 --> 00:03:43,960 Speaker 1: kind of shoes of the war. Um. And they were 66 00:03:44,040 --> 00:03:46,320 Speaker 1: kind of like from the Roman era, you know, like 67 00:03:46,400 --> 00:03:50,000 Speaker 1: how in movies how they the Hollywood trope of what 68 00:03:50,080 --> 00:03:52,880 Speaker 1: the shoes were like sandals, kind of like sandals, but 69 00:03:52,920 --> 00:03:55,119 Speaker 1: they were like a sock type thing that there wasn't 70 00:03:55,120 --> 00:03:59,200 Speaker 1: a lot there. Um. Yeah, I'll believe it when when 71 00:03:59,360 --> 00:04:03,800 Speaker 1: I see it. And that sounds like a marketing marketing bullshit, 72 00:04:04,000 --> 00:04:05,960 Speaker 1: get mick. But I'll tell you what. They got a 73 00:04:05,960 --> 00:04:08,080 Speaker 1: lot of money. Like I'll tell you what, Ben, I 74 00:04:08,120 --> 00:04:09,720 Speaker 1: will say this, and I don't know if you've gone 75 00:04:09,720 --> 00:04:12,720 Speaker 1: this way, but I don't care what it is. If 76 00:04:12,760 --> 00:04:17,719 Speaker 1: it's made and manufactured out of China, I'm not buying it. 77 00:04:17,720 --> 00:04:21,120 Speaker 1: It's hard to do that. Everything is manufactured in Chin. 78 00:04:21,279 --> 00:04:23,039 Speaker 1: You know what I did earlier this week, I was 79 00:04:23,040 --> 00:04:26,120 Speaker 1: looking for some resistance bands. I was looking for some weights. 80 00:04:26,360 --> 00:04:28,560 Speaker 1: And the first thing I did with my inquiries I 81 00:04:28,600 --> 00:04:32,080 Speaker 1: as I specifically asked the company for the email or 82 00:04:32,160 --> 00:04:34,680 Speaker 1: the group chat, Hey where is this manufactured out of? 83 00:04:35,200 --> 00:04:37,040 Speaker 1: And they give me the answer, and I said, all right, 84 00:04:37,160 --> 00:04:40,400 Speaker 1: peace out. Well. Part of the problem too is sometimes 85 00:04:40,520 --> 00:04:44,119 Speaker 1: they'll be manufesting. They'll be put together in the US, 86 00:04:44,200 --> 00:04:47,160 Speaker 1: but the parts are manufactured in China. They'll they'll get 87 00:04:47,160 --> 00:04:49,520 Speaker 1: you that way as well. We made it here, but 88 00:04:49,600 --> 00:04:52,440 Speaker 1: it's you know, Chinese merchandise. Yeah, that's the unfortunate thing. 89 00:04:52,520 --> 00:04:55,560 Speaker 1: I'm gonna do my best alright. A new study out 90 00:04:55,720 --> 00:05:01,920 Speaker 1: dismisses the longstanding report. Were at the ten thousand steps 91 00:05:02,000 --> 00:05:05,040 Speaker 1: is the heart and fast rule. That's for you. That 92 00:05:05,680 --> 00:05:08,440 Speaker 1: new Yeah, I've been living the ten thousand steps thing 93 00:05:08,480 --> 00:05:11,839 Speaker 1: for a while. They say that new research indicates that 94 00:05:11,960 --> 00:05:16,280 Speaker 1: walking eight thousand steps is associated with a fifty one 95 00:05:16,760 --> 00:05:22,800 Speaker 1: lower risk of all cause mortality when compared to hitting 96 00:05:22,839 --> 00:05:26,720 Speaker 1: just four thousand twelve thousand steps was associated with a 97 00:05:26,800 --> 00:05:30,279 Speaker 1: sixty five lower risk. So they say that, you know, 98 00:05:30,360 --> 00:05:35,120 Speaker 1: eight thousand's good, twelve thousand would be better, but not 99 00:05:35,279 --> 00:05:38,159 Speaker 1: to ten thousand them. That's what they claim according to 100 00:05:38,160 --> 00:05:41,160 Speaker 1: this new research. I wonder what our daily steps are 101 00:05:41,200 --> 00:05:44,840 Speaker 1: like nowadays, because earlier this week it was not good 102 00:05:44,880 --> 00:05:47,479 Speaker 1: for me. I didn't leave my I didn't leave my room, 103 00:05:48,080 --> 00:05:50,520 Speaker 1: I didn't leave my bed. Ben One of these days, 104 00:05:50,520 --> 00:05:52,080 Speaker 1: I think it was like Monday, or Tuesday. I didn't 105 00:05:52,120 --> 00:05:54,400 Speaker 1: leave my bed until I had to go take a 106 00:05:54,440 --> 00:05:56,960 Speaker 1: piss at like four or five o'clock in the afternoon. 107 00:05:57,920 --> 00:06:00,679 Speaker 1: And then I got up and sad to jump rope 108 00:06:00,680 --> 00:06:02,640 Speaker 1: and do some push ups and sit ups in the back, 109 00:06:03,640 --> 00:06:07,760 Speaker 1: and I strained my groin doing it. It was painful, 110 00:06:08,120 --> 00:06:10,520 Speaker 1: and I'm like, what the fund is wrong with me? Now? 111 00:06:10,560 --> 00:06:15,440 Speaker 1: I'm looking at age and my dirt. You're in your sixties, 112 00:06:15,440 --> 00:06:17,560 Speaker 1: so you should have already looked if I If I'm 113 00:06:17,560 --> 00:06:19,279 Speaker 1: in my sixties, and what are you? You're in triple 114 00:06:19,320 --> 00:06:22,240 Speaker 1: digit's my friend I have. I'm like a fine wine. 115 00:06:22,920 --> 00:06:26,320 Speaker 1: You're like milk man, you were like fucking milk. I'm 116 00:06:26,320 --> 00:06:29,400 Speaker 1: actually better now than I was. It's true. I'm in 117 00:06:29,520 --> 00:06:31,920 Speaker 1: better condition now than I when I was in my twenties. 118 00:06:32,200 --> 00:06:35,040 Speaker 1: See that two or three years to your life now, 119 00:06:36,320 --> 00:06:38,600 Speaker 1: well I probably took away about ten, so maybe I've 120 00:06:38,600 --> 00:06:42,000 Speaker 1: gained a couple back, all right? Moving on, a dust 121 00:06:42,120 --> 00:06:46,560 Speaker 1: off the rubber duckies. According to a new study out 122 00:06:46,640 --> 00:06:51,120 Speaker 1: this week, they find that taking a nice blank daily 123 00:06:51,279 --> 00:06:56,320 Speaker 1: can reduce one's risk of dying because of cart do 124 00:06:56,360 --> 00:06:59,640 Speaker 1: you think of ship? Uh? No, it's a bath a 125 00:06:59,760 --> 00:07:04,680 Speaker 1: day lead bath, a hot bath, gascon can reduce your 126 00:07:04,760 --> 00:07:08,080 Speaker 1: risk of getting a heart attack or a stroke. Uh, 127 00:07:08,120 --> 00:07:10,280 Speaker 1: they say, well, taking a bath once or twice a 128 00:07:10,280 --> 00:07:14,840 Speaker 1: week is beneficial. Researchers found that a daily bath that 129 00:07:14,920 --> 00:07:19,040 Speaker 1: people who did this were in even better condition. Essentially, 130 00:07:19,200 --> 00:07:21,520 Speaker 1: the more often you go in the bathtub. According to 131 00:07:21,560 --> 00:07:26,240 Speaker 1: the research, there are some amazing benefits related to the bath. 132 00:07:26,640 --> 00:07:29,640 Speaker 1: And they say that a hot bath daily you had 133 00:07:29,680 --> 00:07:34,239 Speaker 1: a tent lower risk of developing cardiovascular disease, a twenty 134 00:07:34,320 --> 00:07:37,960 Speaker 1: six percent lower overall risk of suffering a stroke. And 135 00:07:38,040 --> 00:07:40,080 Speaker 1: this is where I need to point out gascon that 136 00:07:40,200 --> 00:07:43,560 Speaker 1: I think this is kind of bullshit, but I can't. 137 00:07:43,760 --> 00:07:46,440 Speaker 1: I don't fit in. We have a might I have 138 00:07:46,480 --> 00:07:48,320 Speaker 1: a shower. I don't have a bath in the place. 139 00:07:48,640 --> 00:07:50,920 Speaker 1: I take a shower in our house, and the bathtub 140 00:07:51,000 --> 00:07:53,480 Speaker 1: we have in the house, I don't fit in. I'm 141 00:07:53,520 --> 00:07:56,280 Speaker 1: too tall for the bathtub, my legs are too I 142 00:07:56,280 --> 00:07:58,760 Speaker 1: don't really fit in there. So I told my wife 143 00:07:58,800 --> 00:08:00,880 Speaker 1: when we were looking for a house, I said, the 144 00:08:00,960 --> 00:08:03,720 Speaker 1: one thing I would like is a really ninth vathub. 145 00:08:03,960 --> 00:08:06,160 Speaker 1: I need a bathtub. And I said, also we need 146 00:08:06,200 --> 00:08:10,240 Speaker 1: double vanity. Those double vanity sinks I didn't get either 147 00:08:10,320 --> 00:08:13,000 Speaker 1: of those things. Did not get either of those things. 148 00:08:13,040 --> 00:08:17,000 Speaker 1: Guess can I tell you a quick and good bath story. 149 00:08:17,360 --> 00:08:19,840 Speaker 1: Who doesn't like a good bath story? All right, So 150 00:08:20,560 --> 00:08:22,920 Speaker 1: be sure to catch live editions of The Ben Maller 151 00:08:23,000 --> 00:08:26,520 Speaker 1: Show weekdays at two am Eastern eleven pm Pacific on 152 00:08:26,600 --> 00:08:30,560 Speaker 1: Fox Sports Radio and the I Heart Radio app. Early 153 00:08:30,640 --> 00:08:33,760 Speaker 1: two thousand's, I went out to Vegas for a weekend 154 00:08:33,840 --> 00:08:37,199 Speaker 1: with this girl that I had just met. It was random, 155 00:08:37,240 --> 00:08:39,040 Speaker 1: but she was a party girl and I knew we 156 00:08:39,000 --> 00:08:40,840 Speaker 1: were gonna have a good time, and I had some 157 00:08:40,880 --> 00:08:43,679 Speaker 1: friends that invited me out there anyway. So I went 158 00:08:43,720 --> 00:08:46,719 Speaker 1: to the Setar's Palace and I was fortunate enough through 159 00:08:46,760 --> 00:08:48,680 Speaker 1: a friend to get the room comped. It was a 160 00:08:48,720 --> 00:08:50,720 Speaker 1: suite that we had comp there, so it was it 161 00:08:50,800 --> 00:08:53,720 Speaker 1: was me and her and the first night that we 162 00:08:53,760 --> 00:08:55,760 Speaker 1: got their band, we were at a couple of night 163 00:08:55,800 --> 00:08:58,600 Speaker 1: clubs and we parted all night into the morning time, 164 00:08:59,320 --> 00:09:01,040 Speaker 1: and we got back the hotel room was like three 165 00:09:01,160 --> 00:09:02,920 Speaker 1: or four o'clock in the morning and she's like, let's 166 00:09:02,920 --> 00:09:06,120 Speaker 1: go take a bath. And it wasn't the regular bathtubs 167 00:09:06,120 --> 00:09:07,599 Speaker 1: that they have at some of these hotels. It was 168 00:09:07,640 --> 00:09:10,760 Speaker 1: one of those giant jaccuzzy bathtubs that they have in 169 00:09:10,800 --> 00:09:15,920 Speaker 1: the sweets. So we were obviously liquored up, and I 170 00:09:16,000 --> 00:09:17,640 Speaker 1: was like, all right, I'll put on some music, We'll 171 00:09:17,640 --> 00:09:19,600 Speaker 1: grab a couple more drinks. I'll put on the bath 172 00:09:19,679 --> 00:09:22,320 Speaker 1: right now, put the water on, and then we'll obviously 173 00:09:22,400 --> 00:09:25,000 Speaker 1: jump in when this thing gets filled up. Ben, we 174 00:09:25,080 --> 00:09:31,199 Speaker 1: had one drink kicked off, the shoes, um passed out, 175 00:09:31,480 --> 00:09:33,360 Speaker 1: and before you know it, as soon as they came 176 00:09:33,440 --> 00:09:37,200 Speaker 1: with the I flooded the room. I flooded the fucking site. 177 00:09:37,400 --> 00:09:43,240 Speaker 1: It was phenomenal. So it happened what happens when you 178 00:09:43,240 --> 00:09:45,880 Speaker 1: flood a hotel room at Caesar's Palace? Did they put 179 00:09:46,000 --> 00:09:48,000 Speaker 1: did they break the door down and get in there? 180 00:09:48,000 --> 00:09:50,320 Speaker 1: Because the water is coming through on probably out the 181 00:09:50,440 --> 00:09:52,720 Speaker 1: door and into the hallway. So I woke up just 182 00:09:53,000 --> 00:09:56,000 Speaker 1: in the nick of time. And when I did do that, 183 00:09:56,120 --> 00:09:59,000 Speaker 1: like the only thing that was damaged was the bathroom 184 00:09:59,240 --> 00:10:03,000 Speaker 1: and part of the suite. Our our bags were were 185 00:10:03,000 --> 00:10:04,720 Speaker 1: a little wet, but I put everything else up in 186 00:10:04,720 --> 00:10:08,360 Speaker 1: the bed and they actually brought two maintenance crews in 187 00:10:08,400 --> 00:10:11,960 Speaker 1: there with these vacuums that basically just soaked up all 188 00:10:12,000 --> 00:10:14,840 Speaker 1: the water and uh and they flat out told us 189 00:10:14,960 --> 00:10:17,760 Speaker 1: they must have this must happen. Yeah, that's exactly what 190 00:10:17,800 --> 00:10:19,880 Speaker 1: they said, that like, this isn't the first time it's happened. 191 00:10:19,960 --> 00:10:22,120 Speaker 1: Don't worry about it. And I was like, yeah, you know, 192 00:10:22,280 --> 00:10:25,079 Speaker 1: like and I got away from us da da da da, 193 00:10:25,240 --> 00:10:27,360 Speaker 1: and uh yeah they switched out rooms for us too. 194 00:10:27,360 --> 00:10:32,600 Speaker 1: It was great. Wow, all right, there you go. I 195 00:10:32,640 --> 00:10:34,800 Speaker 1: know you've you have a lot of bath stories and 196 00:10:34,800 --> 00:10:38,600 Speaker 1: and next podcast will do the bathhouse stories. David Guescott, 197 00:10:38,600 --> 00:10:40,600 Speaker 1: a regular the bath House, he used to love. Going 198 00:10:40,600 --> 00:10:43,520 Speaker 1: there back would be judgmental. I know it's beneath you. 199 00:10:45,000 --> 00:10:47,640 Speaker 1: And then wait till we do the podcast. You actually 200 00:10:47,640 --> 00:10:50,959 Speaker 1: were the original Bob Kraft. You're tugging run and you've 201 00:10:51,000 --> 00:10:53,960 Speaker 1: done a lot of that, all right. Researchers from Duke 202 00:10:54,120 --> 00:10:58,520 Speaker 1: and Vanderybilt Universities are dismissing that meme, you know, get 203 00:10:58,559 --> 00:11:02,040 Speaker 1: off my lawn the old person. They say they have 204 00:11:02,120 --> 00:11:07,200 Speaker 1: concluded that older adults are actually quite happy, more emotionally stable, 205 00:11:07,320 --> 00:11:11,800 Speaker 1: and better equipped to resist the temptations of life. Take 206 00:11:11,920 --> 00:11:15,400 Speaker 1: that being a boomer is a good thing. How about that? 207 00:11:15,440 --> 00:11:17,480 Speaker 1: Guess guy, I believe that I don't know, is your 208 00:11:17,559 --> 00:11:23,520 Speaker 1: dad like this or no, um, my dad is. He's 209 00:11:23,559 --> 00:11:25,920 Speaker 1: got a good routine, but it's all thrown off because 210 00:11:25,920 --> 00:11:28,240 Speaker 1: of the coronavirus. And I've had to yell at him 211 00:11:28,280 --> 00:11:30,880 Speaker 1: like every night, don't go out. You don't need to 212 00:11:30,920 --> 00:11:33,520 Speaker 1: go out, and he keeps wanting to go out and socialize. 213 00:11:33,559 --> 00:11:36,120 Speaker 1: He never socialized before. Now all of a sudden, he's 214 00:11:36,120 --> 00:11:39,120 Speaker 1: a social butterfly. And but yeah, he doesn't. He does 215 00:11:39,160 --> 00:11:41,920 Speaker 1: not do any of the vices of life as far 216 00:11:41,920 --> 00:11:43,679 Speaker 1: as I know. I mean, I don't not around him 217 00:11:43,720 --> 00:11:45,520 Speaker 1: all the time. But yeah, it's pretty good. Yeah, you know, 218 00:11:45,559 --> 00:11:49,520 Speaker 1: our colleague Rob Parker's like this. Like Rob has said 219 00:11:49,600 --> 00:11:52,400 Speaker 1: to me numerous times, he doesn't look at anything in 220 00:11:52,440 --> 00:11:55,800 Speaker 1: the back. He doesn't pay attention to any social media. 221 00:11:55,880 --> 00:11:58,440 Speaker 1: He just he lives his life. Now we're like back 222 00:11:58,480 --> 00:12:00,760 Speaker 1: in the day, he'd have to worry about certain things 223 00:12:00,840 --> 00:12:02,720 Speaker 1: or he has that like the inner voice, and now 224 00:12:02,800 --> 00:12:06,520 Speaker 1: it's completely different. And obviously it just comes with age 225 00:12:06,520 --> 00:12:10,400 Speaker 1: and wisdom and experience of it all. Yeah, I'm much better. 226 00:12:10,480 --> 00:12:12,920 Speaker 1: I used to be paranoid every day. When I first 227 00:12:12,920 --> 00:12:14,600 Speaker 1: started on radio, I was like, oh, I'm gonna get 228 00:12:14,600 --> 00:12:16,360 Speaker 1: fired today. Oh my god, I'm gonna lose my job. 229 00:12:16,400 --> 00:12:18,640 Speaker 1: I was like the prince of paranoia. And then at 230 00:12:18,679 --> 00:12:21,160 Speaker 1: some point, after I got fired a couple of times, 231 00:12:21,640 --> 00:12:23,559 Speaker 1: I was like, who gives a fuck, you know, I'll 232 00:12:23,600 --> 00:12:28,199 Speaker 1: just get another job somewhere. And I don't remember exactly 233 00:12:28,200 --> 00:12:31,000 Speaker 1: when that moment was, but it was after a couple 234 00:12:31,040 --> 00:12:33,480 Speaker 1: of times being whacked from jobs that I was like, 235 00:12:33,559 --> 00:12:35,440 Speaker 1: I don't really care, you know, I just stopped thinking 236 00:12:35,480 --> 00:12:37,040 Speaker 1: about it. I stopped worrying about it. I was like, 237 00:12:37,080 --> 00:12:38,720 Speaker 1: I'll just do the job, and as long as I'll 238 00:12:38,720 --> 00:12:40,400 Speaker 1: have me, I'll do it. And then i'll do something 239 00:12:40,440 --> 00:12:42,880 Speaker 1: else than somebody, some other dope will hire me, and 240 00:12:42,880 --> 00:12:46,720 Speaker 1: then I'll work for them. And it really is a 241 00:12:46,800 --> 00:12:49,000 Speaker 1: lot of weight lifted off your shoulders. Once you get 242 00:12:49,040 --> 00:12:51,800 Speaker 1: past that point of always like looking over your shoulder, like, 243 00:12:51,840 --> 00:12:54,240 Speaker 1: oh crap, they're gonna get me today, you know, it's 244 00:12:54,240 --> 00:12:58,240 Speaker 1: a lot better. All right, These are actual studies by 245 00:12:58,280 --> 00:13:02,720 Speaker 1: actual universities and whatnot. Let's see here, all right. A 246 00:13:02,760 --> 00:13:08,640 Speaker 1: new study conducted at Washington State University finds that rural babies, 247 00:13:08,679 --> 00:13:11,360 Speaker 1: babies born out in the sticks, and urban babies tend 248 00:13:11,440 --> 00:13:16,520 Speaker 1: to act differently about that. Surprisingly, the research indicated that 249 00:13:16,800 --> 00:13:21,560 Speaker 1: baby is born in rural America display negative emotions like 250 00:13:21,679 --> 00:13:27,760 Speaker 1: anger or frustration much more often than city babies. Wow, 251 00:13:28,200 --> 00:13:32,480 Speaker 1: I think this is bullshit. I'd have to look into 252 00:13:32,480 --> 00:13:36,280 Speaker 1: this more. Like what does a baby know whether they're 253 00:13:36,280 --> 00:13:38,800 Speaker 1: born out in the sticks or they're born in Manhattan. 254 00:13:39,679 --> 00:13:41,600 Speaker 1: You know what I'm saying. How do you know? I 255 00:13:41,679 --> 00:13:44,000 Speaker 1: was fucking you don't know anything when you're born. Yeah, 256 00:13:44,040 --> 00:13:46,760 Speaker 1: I wasn't gonna say. I would think this is reversed 257 00:13:46,800 --> 00:13:49,480 Speaker 1: just because the busy city life, Like if you're in 258 00:13:49,480 --> 00:13:54,240 Speaker 1: a metropolitan area and anyways, see like the outer outer 259 00:13:54,559 --> 00:13:58,280 Speaker 1: skirts of a woman, that kind of breeds into the 260 00:13:58,400 --> 00:14:01,880 Speaker 1: to the baby's life. So if they're like high volatility, 261 00:14:01,960 --> 00:14:05,880 Speaker 1: if there's stress, if there's emotion, if there's like something loud, 262 00:14:06,600 --> 00:14:08,840 Speaker 1: that gets reflected into the baby at birth, but the 263 00:14:08,880 --> 00:14:10,560 Speaker 1: other way around. Like, I don't know if I believe 264 00:14:10,600 --> 00:14:13,600 Speaker 1: that too much, especially in country life. Yeah, I don't 265 00:14:13,600 --> 00:14:16,160 Speaker 1: know how many babies they study to come up to 266 00:14:16,200 --> 00:14:18,480 Speaker 1: that number. It's probably a very small amount. They also 267 00:14:18,520 --> 00:14:22,240 Speaker 1: say that urban babies are calmer, less fussy, and not 268 00:14:22,400 --> 00:14:27,560 Speaker 1: as bothered by rule about that. It's fascinating. Um, now 269 00:14:27,920 --> 00:14:31,160 Speaker 1: I have my two nieces that live in New York 270 00:14:31,480 --> 00:14:34,480 Speaker 1: where they grew up in New York City, So they 271 00:14:34,520 --> 00:14:37,680 Speaker 1: grew up in Manhattan. Like they neither one of them drives, 272 00:14:37,880 --> 00:14:39,720 Speaker 1: and they're both of the age to drive. They don't 273 00:14:39,720 --> 00:14:41,440 Speaker 1: need to drive because they live in Manhattan. You know, 274 00:14:41,560 --> 00:14:44,240 Speaker 1: you take the subway around and like they take the 275 00:14:44,280 --> 00:14:48,800 Speaker 1: subway to high school. How crazy is that? Right? So yeah, 276 00:14:48,800 --> 00:14:50,320 Speaker 1: I mean you do have to kind of follow the 277 00:14:50,640 --> 00:14:53,040 Speaker 1: rules of the street when you but that that's they're 278 00:14:53,120 --> 00:14:56,560 Speaker 1: they're grown up now, they're not little babies. So it's 279 00:14:56,680 --> 00:15:00,360 Speaker 1: it's a much different dynamic. And I'm gonna call bullshit 280 00:15:00,560 --> 00:15:05,120 Speaker 1: on that, like on that all right. Geologists have this 281 00:15:05,200 --> 00:15:08,920 Speaker 1: is from the University of California Riverside, have discovered humanity's 282 00:15:08,960 --> 00:15:12,040 Speaker 1: earliest ancestor. You want to hear your earliest answers? There 283 00:15:12,120 --> 00:15:17,160 Speaker 1: is a worm, that's right. They discover the earliest known 284 00:15:17,200 --> 00:15:21,320 Speaker 1: ancestor to most animals alive on this planet today, including 285 00:15:21,440 --> 00:15:25,280 Speaker 1: us humans, is believed to have lived over five hundred 286 00:15:25,280 --> 00:15:30,840 Speaker 1: and fifty five million years ago. It's a big, giant, 287 00:15:31,040 --> 00:15:34,280 Speaker 1: fat worm. I'm looking at it right here. It's got 288 00:15:34,280 --> 00:15:36,760 Speaker 1: a name I can't even pronounce because I don't I 289 00:15:36,760 --> 00:15:39,040 Speaker 1: mean this these science has come up with the science 290 00:15:39,080 --> 00:15:41,880 Speaker 1: community comes up with these really fucked up names. But uh, 291 00:15:42,040 --> 00:15:44,600 Speaker 1: it's a big warm, is what it is. So there 292 00:15:44,640 --> 00:15:47,800 Speaker 1: you go. We're all related to worms. Doesn't that excite? Yes? Yes, 293 00:15:47,960 --> 00:15:51,880 Speaker 1: I would love to see Marcel pronounce that. Then our 294 00:15:51,960 --> 00:15:56,800 Speaker 1: great newsman boy Marcel really upsets people. I'm fascinated by 295 00:15:56,800 --> 00:15:59,040 Speaker 1: the group of people that get triggered by a caller 296 00:15:59,080 --> 00:16:01,560 Speaker 1: to a radio show. Know you know, it's like I 297 00:16:01,600 --> 00:16:04,200 Speaker 1: got any another email today from a guys. I have 298 00:16:04,320 --> 00:16:07,200 Speaker 1: listened to you for seven years and I loved your show. 299 00:16:07,240 --> 00:16:09,920 Speaker 1: But when Marcel comes on on and off the radio, 300 00:16:09,960 --> 00:16:13,320 Speaker 1: I can't hear Marcel, why do you give that moron 301 00:16:13,480 --> 00:16:17,120 Speaker 1: the year? You get people to get bent over Roberto 302 00:16:17,240 --> 00:16:19,720 Speaker 1: playing a drop or two, and it's just it's just 303 00:16:20,080 --> 00:16:23,360 Speaker 1: bafflet Yeah, wait a minute, listen. We've had our guy 304 00:16:23,440 --> 00:16:25,880 Speaker 1: fun House in New York, the great fun House, Internet 305 00:16:25,960 --> 00:16:28,040 Speaker 1: legend Funhouse. I love the guy to death, but he 306 00:16:28,080 --> 00:16:31,200 Speaker 1: can't stand up Bell. He stopped listening to our show 307 00:16:31,280 --> 00:16:33,600 Speaker 1: because of the Bell. This is the guy that has 308 00:16:33,640 --> 00:16:36,000 Speaker 1: a lot of muscle now because he's the number one 309 00:16:36,080 --> 00:16:38,520 Speaker 1: go to guy for sports media. He's the number one 310 00:16:38,560 --> 00:16:41,720 Speaker 1: Twitter critic for sports radio. And he's been a Mallem 311 00:16:41,760 --> 00:16:45,360 Speaker 1: Militia guy for decades and he's a listening line. He 312 00:16:45,400 --> 00:16:48,280 Speaker 1: goes back to the Johada John days when Jehada John 313 00:16:48,360 --> 00:16:51,840 Speaker 1: was a senior general in the Mallem Militia from Michigan. 314 00:16:51,840 --> 00:16:53,880 Speaker 1: And then Johada John quit the show because he got 315 00:16:54,000 --> 00:16:57,120 Speaker 1: upset that the Lions were no good and the Cubs 316 00:16:57,160 --> 00:16:59,480 Speaker 1: won the World Series and he just gave up sports. 317 00:16:59,560 --> 00:17:02,640 Speaker 1: But we go way back, but he will not listen 318 00:17:02,680 --> 00:17:07,000 Speaker 1: because Roberto incessantly plays the bell. Good on him, So 319 00:17:07,520 --> 00:17:10,880 Speaker 1: standard ground fun House, Goodbye Roberto, Goodbye Roberto, or goodbye 320 00:17:11,040 --> 00:17:14,240 Speaker 1: fun House, Goodbye fun House. I love fun House. I 321 00:17:14,280 --> 00:17:16,639 Speaker 1: love that guy. He's very entertaining. He just kills your 322 00:17:16,640 --> 00:17:20,280 Speaker 1: guy coward though, just kills your my guy. It's your guys, 323 00:17:20,280 --> 00:17:23,480 Speaker 1: your guy, he's your guy. You guys share the same 324 00:17:23,520 --> 00:17:26,280 Speaker 1: air waves. You guys are our host. You know, three 325 00:17:26,359 --> 00:17:30,600 Speaker 1: or four hours towards an icon. He's a legend. I'm 326 00:17:30,600 --> 00:17:34,000 Speaker 1: a I'm a nobody, I'm I'm an omega. He's an 327 00:17:34,000 --> 00:17:38,120 Speaker 1: alpha in the radio business. Be sure to catch live 328 00:17:38,280 --> 00:17:40,840 Speaker 1: editions of The Ben Maller Show weekdays at two am 329 00:17:40,880 --> 00:17:45,119 Speaker 1: Eastern eleven pm Pacific. Alright, anyway, moving on. According to 330 00:17:45,200 --> 00:17:51,359 Speaker 1: a new survey, Americans believe in twelve common superstitions. What 331 00:17:51,560 --> 00:17:55,239 Speaker 1: is the most believed superstition? Guest on? According to this 332 00:17:55,320 --> 00:17:58,639 Speaker 1: new survey, what's what do Americans believe more out of 333 00:17:58,680 --> 00:18:04,240 Speaker 1: all the twelve common super stitions? I know you don't know, dummy. 334 00:18:04,520 --> 00:18:08,639 Speaker 1: I'm just asking you to make conversation. Yeah, I understand 335 00:18:08,680 --> 00:18:11,040 Speaker 1: that I have to go deep into what the hell 336 00:18:11,119 --> 00:18:15,600 Speaker 1: people would consider a superstition. Um, breaking glass is bad luck? 337 00:18:16,840 --> 00:18:19,920 Speaker 1: That is one see breaking um a mirror? Right, isn't 338 00:18:19,920 --> 00:18:23,680 Speaker 1: a mirror? You're supposed to walking under a ladder, crossing 339 00:18:23,680 --> 00:18:30,000 Speaker 1: a black cat? Yeah? Um? The number thirteen um um 340 00:18:30,040 --> 00:18:32,960 Speaker 1: identical numbers on the clock. So if it's like one 341 00:18:33,000 --> 00:18:36,160 Speaker 1: eleven or eleven eleven, that's like supposed to be good luck. 342 00:18:36,200 --> 00:18:39,080 Speaker 1: You have to make a wish and something good will happen. Yeah, 343 00:18:39,920 --> 00:18:43,520 Speaker 1: there's that. Um, there's I mean, there's all kinds of 344 00:18:43,720 --> 00:18:46,240 Speaker 1: different things that you could come up. What do you 345 00:18:46,280 --> 00:18:49,360 Speaker 1: think that is most common that most of us, accorded 346 00:18:49,400 --> 00:18:53,600 Speaker 1: to this research, believe in um, if it rains on 347 00:18:53,640 --> 00:18:57,119 Speaker 1: your wedding day, it usually means a bad marriage. So 348 00:18:57,160 --> 00:19:00,160 Speaker 1: you think that is the that is incorrect. Uh. They 349 00:19:00,160 --> 00:19:04,480 Speaker 1: say that the most common superstition that is believed by 350 00:19:04,520 --> 00:19:08,000 Speaker 1: the mass majority is if you find a penny, it 351 00:19:08,119 --> 00:19:11,439 Speaker 1: brings you good luck. You find a penny walking around 352 00:19:12,119 --> 00:19:17,199 Speaker 1: good luck? Do you keep your change anymore? Um? I 353 00:19:17,880 --> 00:19:19,760 Speaker 1: don't buy a lot of stuff with cash, but when 354 00:19:19,760 --> 00:19:22,919 Speaker 1: I do, I have a jar, a Mason jar on 355 00:19:23,040 --> 00:19:26,920 Speaker 1: my desk and I just throw in the change and 356 00:19:27,080 --> 00:19:30,320 Speaker 1: I haven't done anything with it, but yeah, I keep it. 357 00:19:30,480 --> 00:19:32,880 Speaker 1: I do. I have a one of those big water 358 00:19:33,000 --> 00:19:34,600 Speaker 1: jugs and I'm still trying to fill it up. I'm 359 00:19:34,640 --> 00:19:37,640 Speaker 1: about like a third of the way up. So yeah, 360 00:19:37,720 --> 00:19:40,040 Speaker 1: I can lift it. I don't know if you could, 361 00:19:40,080 --> 00:19:42,040 Speaker 1: but I can lift it. I'll be curious to see, 362 00:19:42,080 --> 00:19:44,240 Speaker 1: like I know, I know moving that Matt probably wouldn't 363 00:19:44,240 --> 00:19:46,680 Speaker 1: be able to lift it. Um, it's very weak. And 364 00:19:47,560 --> 00:19:50,560 Speaker 1: that guy, right, that guy would again, he is a 365 00:19:51,000 --> 00:19:55,439 Speaker 1: Boston moving guy. He would eat you for lunch. Do 366 00:19:55,480 --> 00:19:58,320 Speaker 1: you understand he would? He would take you like a 367 00:19:58,400 --> 00:20:00,919 Speaker 1: volleyball and spike you in to the ground, is what 368 00:20:00,960 --> 00:20:02,560 Speaker 1: he would do. I think you're being a little bit 369 00:20:02,560 --> 00:20:04,720 Speaker 1: over dramatic on that. I'm not I've hung out with 370 00:20:04,720 --> 00:20:06,760 Speaker 1: a guy. Hey, by the way, our guy blind Scott. 371 00:20:07,520 --> 00:20:09,440 Speaker 1: He sent me an email. This is I love the 372 00:20:09,520 --> 00:20:11,879 Speaker 1: random emails I get from the p Ones, the Mallem 373 00:20:11,920 --> 00:20:15,320 Speaker 1: Militia guys. So I get this email from blind Scott 374 00:20:15,359 --> 00:20:16,719 Speaker 1: the other day. Let me go. I gotta go through 375 00:20:16,760 --> 00:20:18,840 Speaker 1: all these marked the full name guy emails because he's 376 00:20:18,840 --> 00:20:22,159 Speaker 1: been blowing up my my inbox, as we talked about 377 00:20:22,720 --> 00:20:27,359 Speaker 1: in a previous edition. So I get this message from 378 00:20:27,359 --> 00:20:32,080 Speaker 1: blind Scott randomly. All right. It says here, some lady 379 00:20:32,240 --> 00:20:37,480 Speaker 1: hit me with her car at a stopping shop. I'm okay. 380 00:20:38,480 --> 00:20:42,240 Speaker 1: She was like eighty years old. He then says she 381 00:20:42,400 --> 00:20:45,560 Speaker 1: dragged me a little bit. I didn't even get bruises 382 00:20:45,640 --> 00:20:49,640 Speaker 1: or a scratch though. So he got hit, he got bumped, 383 00:20:49,680 --> 00:20:51,760 Speaker 1: I guess is the way to describe it, Blind Scott 384 00:20:51,920 --> 00:20:54,600 Speaker 1: from an eighty year old woman at a stopping shop 385 00:20:54,680 --> 00:20:57,639 Speaker 1: on the Cape in Massachusetts. But great is that? But 386 00:20:57,680 --> 00:20:59,840 Speaker 1: what about his dog though? Because he always has his 387 00:21:00,000 --> 00:21:03,920 Speaker 1: on with him? Mentioned Kramer? Yeah, he didn't mention the 388 00:21:03,920 --> 00:21:05,879 Speaker 1: do Cramer? So I guess it was. I guess Kramer 389 00:21:06,000 --> 00:21:08,320 Speaker 1: was all right? All right, isn't Kramer is supposed to 390 00:21:08,320 --> 00:21:12,920 Speaker 1: warn you of a car coming, right, Yeah, typically talk 391 00:21:12,960 --> 00:21:15,520 Speaker 1: to him about it. I don't know alright. A recent 392 00:21:15,640 --> 00:21:20,399 Speaker 1: survey says the average American starts doing this around the 393 00:21:20,440 --> 00:21:23,560 Speaker 1: age of forty one to improve their health. See if 394 00:21:23,560 --> 00:21:28,200 Speaker 1: you get this one right, guest, let's say eating um, exercises, 395 00:21:28,240 --> 00:21:33,080 Speaker 1: no um. I'll say sleeping longer. Sleeping sleeping long right, 396 00:21:34,240 --> 00:21:38,439 Speaker 1: that is incorrect. They say that the average age forty one. 397 00:21:38,520 --> 00:21:41,800 Speaker 1: You improve your health by taking vitamins. And people are 398 00:21:41,880 --> 00:21:44,720 Speaker 1: taking vitamins around the age of forty one. Didn't we 399 00:21:44,760 --> 00:21:50,320 Speaker 1: take vitamins as kids. I took Flintstone vitaminst WWF vitamins, 400 00:21:50,320 --> 00:21:53,399 Speaker 1: hall Comania vitamins, the whole thing. Yeah, multi vitamins. I mean, 401 00:21:53,440 --> 00:21:56,320 Speaker 1: I load up on the vitamins now, but just because 402 00:21:56,320 --> 00:21:58,879 Speaker 1: of the climate that we're in. But I don't really 403 00:21:58,920 --> 00:22:01,280 Speaker 1: believe in the vitamins because I watched an episode of 404 00:22:01,280 --> 00:22:03,880 Speaker 1: Penn and Teller's Bullshit and they talked about how most 405 00:22:03,960 --> 00:22:06,239 Speaker 1: vitamins are complete bullshit and they just go right through 406 00:22:06,280 --> 00:22:09,440 Speaker 1: your system and it's it's all a scam fuck. So 407 00:22:09,920 --> 00:22:13,800 Speaker 1: you should watch that bullshit reruns and check it out, 408 00:22:13,840 --> 00:22:16,480 Speaker 1: all right. Uh, last one on the study, this and 409 00:22:16,560 --> 00:22:19,000 Speaker 1: we got some. Don't stick to sports stories. On average, 410 00:22:19,320 --> 00:22:26,520 Speaker 1: we eat about two hundred and fifty of these a year. Hamburgers, hamburgers, hamburgers, hamburgers. 411 00:22:27,000 --> 00:22:33,640 Speaker 1: No pizzas, not pezza, No britos, not burrito, tacos, No, 412 00:22:33,760 --> 00:22:37,520 Speaker 1: not taco You think guys in the Sheboygan or eating tacos. 413 00:22:38,400 --> 00:22:40,280 Speaker 1: There's a whole big country out there, dummy. Yeah, but 414 00:22:40,320 --> 00:22:43,720 Speaker 1: we can make up more it would you understand your crew? 415 00:22:43,800 --> 00:22:46,200 Speaker 1: We eat a lot. We consume a lot of food. 416 00:22:46,720 --> 00:22:49,119 Speaker 1: Not me anymore. I used to consume a lot, all right, 417 00:22:49,160 --> 00:22:53,480 Speaker 1: the answer gascon The average human being eats in America 418 00:22:54,160 --> 00:22:59,040 Speaker 1: two hundred and fifty eggs per year. About that. We 419 00:22:59,400 --> 00:23:01,880 Speaker 1: was to go through that trend like where eggs were 420 00:23:02,080 --> 00:23:04,400 Speaker 1: bad for you, now they're good for you, then they're 421 00:23:04,400 --> 00:23:08,040 Speaker 1: bad for you all cholesterol related. Yeah, yeah, I know. 422 00:23:08,119 --> 00:23:09,720 Speaker 1: It goes back. It's like everything you know, there's a 423 00:23:09,760 --> 00:23:11,480 Speaker 1: study that comes out, this is good for you, that 424 00:23:11,520 --> 00:23:13,760 Speaker 1: you do this, You're gonna live forever, and then ten 425 00:23:13,840 --> 00:23:16,040 Speaker 1: years later, don't do this, You're gonna die. It's the 426 00:23:16,040 --> 00:23:17,720 Speaker 1: same thing you were doing to live longer. It's the 427 00:23:17,720 --> 00:23:20,119 Speaker 1: same bullshit. We all have a fatal disease. We're not 428 00:23:20,119 --> 00:23:22,960 Speaker 1: getting out alive. I mean, just deal with it. Yes, Yeah, 429 00:23:23,280 --> 00:23:26,159 Speaker 1: Fox Sports Radio has the best sports talk lineup in 430 00:23:26,200 --> 00:23:29,159 Speaker 1: the nation. Catch all of our shows at Fox Sports 431 00:23:29,280 --> 00:23:32,400 Speaker 1: Radio dot com and within the I Heart Radio app. 432 00:23:32,440 --> 00:23:36,240 Speaker 1: Search f s R to listen live. All right, let's 433 00:23:36,240 --> 00:23:40,640 Speaker 1: move on. We have don't stick to sports stories. Oh, Lou, 434 00:23:41,119 --> 00:23:43,119 Speaker 1: are you a big fan of karma? Are? Do you 435 00:23:43,119 --> 00:23:50,000 Speaker 1: believe in karma? Uh? Sporadically, I have moods where I'm like, oh, 436 00:23:50,080 --> 00:23:52,800 Speaker 1: I better do this, or bad things gonna happen. Generally, 437 00:23:52,800 --> 00:23:55,320 Speaker 1: I don't really buy into it very much. I have 438 00:23:55,520 --> 00:23:57,600 Speaker 1: moments where I better not do that because that's bad, 439 00:23:57,800 --> 00:24:00,520 Speaker 1: bad juju. But most of the time, no, in I 440 00:24:00,600 --> 00:24:04,080 Speaker 1: bring that up because of this. Um, a so so 441 00:24:04,160 --> 00:24:07,840 Speaker 1: called social media influencer here in California, claims he's in 442 00:24:07,840 --> 00:24:11,240 Speaker 1: the hospital now and he's been diagnosed with the coronavirus 443 00:24:11,440 --> 00:24:13,800 Speaker 1: ben This is just a couple of days after the 444 00:24:13,840 --> 00:24:17,639 Speaker 1: fact that he was on videotape or on a camera 445 00:24:18,359 --> 00:24:22,480 Speaker 1: going through public restrooms and licking toilets, all a part 446 00:24:22,480 --> 00:24:28,480 Speaker 1: of an online challenge to lick toilets in a public setting. Yeah, um, 447 00:24:28,480 --> 00:24:33,160 Speaker 1: this is his brilliant is remember the Tide podcast. Yeah, 448 00:24:33,440 --> 00:24:36,160 Speaker 1: the genius. Now I have a theory here. I'm gonna 449 00:24:36,160 --> 00:24:40,320 Speaker 1: go deep state, all right, I think this guy is 450 00:24:40,440 --> 00:24:42,640 Speaker 1: full of ship. I don't think he has the coronavirus. 451 00:24:42,720 --> 00:24:44,840 Speaker 1: I think he's just doing this to get more publicity. 452 00:24:44,880 --> 00:24:46,760 Speaker 1: How about that, Well, it could be, but that's still 453 00:24:46,760 --> 00:24:48,800 Speaker 1: an expensive hospital of bill. I mean he took a 454 00:24:48,840 --> 00:24:51,359 Speaker 1: selfie of him in the hospital. How do you know 455 00:24:51,400 --> 00:24:53,159 Speaker 1: he didn't just walk in or has a friend that 456 00:24:53,200 --> 00:24:55,520 Speaker 1: works at a hospital and walked in there and took 457 00:24:55,560 --> 00:24:58,680 Speaker 1: a photo and then walked right out. No, because the 458 00:24:58,760 --> 00:25:01,840 Speaker 1: volume of people in hospitals right now, like they actually 459 00:25:02,280 --> 00:25:04,679 Speaker 1: they have people like segued into different even Nor if 460 00:25:04,760 --> 00:25:05,879 Speaker 1: it was a hot I mean, it could have been 461 00:25:05,920 --> 00:25:09,160 Speaker 1: just a medical facility somewhere that you think they're gonna 462 00:25:09,359 --> 00:25:12,040 Speaker 1: be an actual hospital hospital. You think they're wasting time 463 00:25:12,080 --> 00:25:15,240 Speaker 1: with these kids that are influencers. You think they paid them. 464 00:25:15,320 --> 00:25:18,119 Speaker 1: He might have paid them U plus from what we 465 00:25:18,160 --> 00:25:20,639 Speaker 1: understand the coronavirus. If you lick at toilet bowl on 466 00:25:20,680 --> 00:25:23,080 Speaker 1: a Monday, you're not going to get the coronavirus on 467 00:25:23,119 --> 00:25:26,440 Speaker 1: a Wednesday. Doesn't it take like about a week? The 468 00:25:26,520 --> 00:25:28,880 Speaker 1: symptoms to start showing up. Yeah, two to five, two 469 00:25:28,880 --> 00:25:31,120 Speaker 1: to five days, excuse me, you know, to show up. 470 00:25:31,160 --> 00:25:33,639 Speaker 1: So yeah, so it's not like you look at toilet 471 00:25:33,640 --> 00:25:37,560 Speaker 1: bowl and then here's the coronavirus. Put yourself out. How 472 00:25:37,600 --> 00:25:41,360 Speaker 1: about this to talking about alluring the curve or changing 473 00:25:41,400 --> 00:25:46,000 Speaker 1: the curve. Mexican protesters have shut down a US southern 474 00:25:46,040 --> 00:25:50,200 Speaker 1: border cross because they have fears about American travelers right now, 475 00:25:50,240 --> 00:25:54,120 Speaker 1: who will spread the coronavirus. I love this story. This 476 00:25:54,200 --> 00:25:57,600 Speaker 1: is great. So we've come full circle, right because for 477 00:25:57,880 --> 00:25:59,440 Speaker 1: so many years in my life it's like, well, you 478 00:25:59,480 --> 00:26:02,040 Speaker 1: gotta struck down the Mexican border, we can't let these 479 00:26:02,040 --> 00:26:03,840 Speaker 1: people to come into the US and all this stuff. 480 00:26:03,840 --> 00:26:06,040 Speaker 1: And now now Mexico is like, we don't feel safe. 481 00:26:06,480 --> 00:26:10,800 Speaker 1: America is hilarious. They have in Mexico they have right 482 00:26:10,840 --> 00:26:14,119 Speaker 1: now five confirmed cases of the coronavirus, and here in 483 00:26:14,119 --> 00:26:17,480 Speaker 1: the United States it's over sixty five thousand. Um. But 484 00:26:17,520 --> 00:26:19,720 Speaker 1: the way, because eat a lot of avocado. That's why 485 00:26:19,960 --> 00:26:22,919 Speaker 1: it's probably a good call. Yeah apparently so yeah, so 486 00:26:23,040 --> 00:26:25,960 Speaker 1: healthy with the avocado. Yeah, how about that, though, changing 487 00:26:26,080 --> 00:26:29,959 Speaker 1: all the way around we do from that is bizarro world. 488 00:26:31,000 --> 00:26:32,879 Speaker 1: If I had told you a couple of years ago, 489 00:26:32,920 --> 00:26:35,160 Speaker 1: when everyone was up in arms in the political theater 490 00:26:35,240 --> 00:26:37,439 Speaker 1: about Trump and the border and all this stuff, that 491 00:26:37,480 --> 00:26:40,200 Speaker 1: we get to a point where the people of Mexico 492 00:26:40,320 --> 00:26:44,000 Speaker 1: wanted to shut the border down. It's just great. You 493 00:26:44,080 --> 00:26:46,560 Speaker 1: can't make this crap up. That's how great is it 494 00:26:46,600 --> 00:26:48,679 Speaker 1: to be alive and see this unfold in front of 495 00:26:48,680 --> 00:26:51,320 Speaker 1: our eyes? It's just nuts. Speaking of nuts, how about this. 496 00:26:51,359 --> 00:26:54,199 Speaker 1: A woman has been arrested and charged with felony counts 497 00:26:54,200 --> 00:26:58,320 Speaker 1: of terrorist threats, threats to use a biological agent, and 498 00:26:58,440 --> 00:27:00,600 Speaker 1: criminal mischief. I don't know if you heard about this bend, 499 00:27:00,600 --> 00:27:04,120 Speaker 1: but this woman uh entered a grocery store and she 500 00:27:04,280 --> 00:27:06,679 Speaker 1: was making verbal threats that she was sick, and she 501 00:27:06,800 --> 00:27:10,919 Speaker 1: proceeded to cough and spit on merchandise and it costs 502 00:27:10,920 --> 00:27:14,200 Speaker 1: the store thirty five thousand dollars worth the product. And 503 00:27:14,280 --> 00:27:18,560 Speaker 1: she's out on bail now, on a fifty bond. Wow, 504 00:27:18,640 --> 00:27:20,560 Speaker 1: you know this is I thought about this the other day. 505 00:27:20,680 --> 00:27:23,560 Speaker 1: I went to Costco and everyone's looking at me. I 506 00:27:23,560 --> 00:27:25,360 Speaker 1: felt like I was back to the big fat guy 507 00:27:25,400 --> 00:27:27,000 Speaker 1: that tried to date and all the women gave me 508 00:27:27,040 --> 00:27:29,120 Speaker 1: the deaths. There. I was getting the desks there from everybody. 509 00:27:29,160 --> 00:27:32,000 Speaker 1: They're all wearing masks. It's a bizarre time to be alive. 510 00:27:32,040 --> 00:27:35,120 Speaker 1: And you see these people walking around like this. It's crazy. 511 00:27:35,160 --> 00:27:37,120 Speaker 1: Everyone's freaked out and they're all giving you a look. 512 00:27:37,119 --> 00:27:39,800 Speaker 1: You're gonna kill me? Do you have the corona? But 513 00:27:39,880 --> 00:27:44,080 Speaker 1: wouldn't this make a great episode of Curb Your Enthusiasm 514 00:27:44,960 --> 00:27:48,080 Speaker 1: where Larry goes around coughing to get people to go, 515 00:27:48,200 --> 00:27:50,760 Speaker 1: you know, run away from him. You know that'd be great. 516 00:27:50,920 --> 00:27:53,000 Speaker 1: Like I was in Costco and I I coughed for 517 00:27:53,040 --> 00:27:55,480 Speaker 1: a second and three people looked at me like whoa 518 00:27:56,240 --> 00:27:58,760 Speaker 1: he coughed. It's like you get a live grenade in 519 00:27:58,800 --> 00:28:02,479 Speaker 1: your hand, right. But I didn't even realize, Like I 520 00:28:02,520 --> 00:28:04,639 Speaker 1: didn't put two and two together. It took me like 521 00:28:04,640 --> 00:28:06,440 Speaker 1: a second then I realized, oh shit, and I probably 522 00:28:06,440 --> 00:28:08,280 Speaker 1: if I have to cough, I better really not. How 523 00:28:08,280 --> 00:28:10,680 Speaker 1: do you gotta hold the cough? You know? But when 524 00:28:10,680 --> 00:28:12,280 Speaker 1: I have to call if I cough, I don't usually 525 00:28:12,359 --> 00:28:13,840 Speaker 1: hold the cop but I have to get Now, when 526 00:28:13,840 --> 00:28:15,840 Speaker 1: you're out in public, you have to hold the cough. Yeah, 527 00:28:16,320 --> 00:28:18,560 Speaker 1: speaking of which, we gotta copper way out of here now, Ben, 528 00:28:18,600 --> 00:28:21,640 Speaker 1: time's up is that right. You gotta put the baby 529 00:28:21,680 --> 00:28:26,040 Speaker 1: to bed. Alright, very good. Follow me on social media 530 00:28:26,200 --> 00:28:29,360 Speaker 1: you can check get me out. I've got every platform 531 00:28:29,400 --> 00:28:34,000 Speaker 1: pretty much covered. We're on Instagram. Ben Maller on Fox 532 00:28:34,119 --> 00:28:34,960 Speaker 1: on Instagram