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Speaker 1: If you thought four hours a day, minutes a week

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Speaker 1: was enough, think again. He's the last remnants of the

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Speaker 1: old republic, a sole fashion of fairness. He treats crackheads

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Speaker 1: in the ghetto Cutter the same as the rich pill

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Speaker 1: poppers in the penthouse. The clearing House of Hot takes

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Speaker 1: break free for something special. The fifth Hour with Ben

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Speaker 1: Maller starts right now, that it doesn't. We are in

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Speaker 1: the air everywhere coast to coast, border to border and beyond,

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Speaker 1: because we on a podcast, and you don't have to

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Speaker 1: be limited by just the signal of radio station. And

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Speaker 1: we are heard eight days a week. This podcast not

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Speaker 1: only available in the radio podcast which is available during

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Speaker 1: the week and then on the weekends Friday, Saturday and

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Speaker 1: Sunday fresh audio content. And we have not missed a

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Speaker 1: weekend since we started doing eight days a week on

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Speaker 1: this show, because four hours or not enough in the

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Speaker 1: overnight and uh and so, but even during furlough, been furloughed,

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Speaker 1: taking time off, We've adjusted the schedules to make sure

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Speaker 1: the podcast is up on the weekends. And right over there,

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Speaker 1: all right, cover your ears. David Gascon is in the

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Speaker 1: house there, he is right there. I was. I was

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Speaker 1: debating on how we'd start this, uh this episode out,

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Speaker 1: but I'm gonna make a nice audible the line of

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Speaker 1: scrimmage because you must acknowledge what you have done. It

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Speaker 1: might be gross incompetence, or it could be using the

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Speaker 1: light of day. Ben Mallory, I witnessed you, not only

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Speaker 1: in person, but I witnessed you west of the four

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Speaker 1: oh five, just a couple of days ago. And let

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Speaker 1: me tell you, you look like a changed man. Changed man.

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Speaker 1: You looked young, like vibrant, You look like your full

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Speaker 1: life was absolutely amazing. Um, we must even when we

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Speaker 1: start off this episode of congratulations to our dear friend

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Speaker 1: and colleague Jonas Knox. He got married recently. We were

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Speaker 1: at the We were at the wedding. I'm sorry, people,

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Speaker 1: stay in your house. It's never gonna be safe. We

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Speaker 1: went to a wedding, there were people there, human beings

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Speaker 1: acting like human beings, hanging out without the human beings.

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Speaker 1: That happened, that's right, having fun. We got to celebrate

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Speaker 1: with him. So it's awesome. So if anyone listens to him,

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Speaker 1: he subs in and fills in for you, and yes

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Speaker 1: he does. I love Jonas. Jonas has been with us

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Speaker 1: for a long time at Fox, and he says the

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Speaker 1: overnights and he's on with what's his name, r J. Right,

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Speaker 1: he goes on with r J. He's all with Brady Quinn.

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Speaker 1: He also hosts his own show. It's so congratulations to him.

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Speaker 1: So anyone that listens to your show when he does

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Speaker 1: fill in to give him a shout out. Congratulations to

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Speaker 1: him and his beautiful wife. They had an awesome, awesome, Yeah,

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Speaker 1: that was great and most important I've been to a

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Speaker 1: few weddings over the years of bar Mitz was and

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Speaker 1: living like that. The food fucking great, all right, The

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Speaker 1: food was wonderful and they had chicken fingers, French fries,

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Speaker 1: mini slider burgers. You know, as you know, guesscon I've

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Speaker 1: I fasted a lot, and I you know, there's this

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Speaker 1: thing called rare and appropriate and when you're when you

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Speaker 1: live the fastening life, you know, and I don't I

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Speaker 1: don't really go overboard very much, but when you're at

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Speaker 1: a wedding and you know, it's like a rare and

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Speaker 1: appropriate social engagement. And in this year, I've only been

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Speaker 1: to a couple of social things all year, so like,

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Speaker 1: what the hell? Why not? And uh, and it had

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Speaker 1: a great time. The only problem was it was like

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Speaker 1: it was seven hundred degrees um and uh and that

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Speaker 1: was not that was so far west of the four

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Speaker 1: or five. I think it was like in a I

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Speaker 1: don't even think we can say west of the four

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Speaker 1: or five where Jonas had had the wedding because it

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Speaker 1: was way the hell out there. Yeah it was. It

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Speaker 1: was pretty offen hot, but it didn't it did not

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Speaker 1: prevent me and our colleague Rob Parker from looking like

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Speaker 1: our Sunday best. We were appropriately. I have a photo,

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Speaker 1: a blackmail photo that I look that I am saving

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Speaker 1: for the appropriate day. Why and I can docks you.

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Speaker 1: I'm gonna be able to do what you're gonna docks me.

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Speaker 1: I was wonderfully dressed. Nice jeans, a dress shirt, a

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Speaker 1: good uh dinner jacket, you know, a pocket square, nice shoes.

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Speaker 1: There was something in you accessorized was something that I

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Speaker 1: believe the Malam militia would have a good time with

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Speaker 1: what they think. Well, and then then I'll you're gonna

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Speaker 1: give me the green light to send it up. Green

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Speaker 1: light go you can? Of course you could you put

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Speaker 1: my fucking car on your fucking Twitter account and on

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Speaker 1: the Fox Sports Radio social media. Why I did that

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Speaker 1: because you parked illegally and risk the life of many

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Speaker 1: people there. But when you back out of you you

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Speaker 1: you park like an asshole. Whatever. I'm the only person

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Speaker 1: in that parking lot nowadays, so whatever, It's fine. You

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Speaker 1: failed to acknowledge how how great I was dressed, though.

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Speaker 1: I am a little disappointed that, but not surprised. I've

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Speaker 1: never been the type to look at another man and say,

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Speaker 1: that's a good dress man, that's a well dressed man.

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Speaker 1: I'm just not That's not how I'm I roll man.

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Speaker 1: That's not how I operate. That's fine, I mean, that's

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Speaker 1: wrong with that if you do. But we heard it

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Speaker 1: yesterday with Darcy was really painful when you had to

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Speaker 1: give him a description to who I am and what

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Speaker 1: I do out. But well, I was debating. There was

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Speaker 1: a moment there to split second where I was like,

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Speaker 1: all right, do I say this guy is a asshole? Um,

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Speaker 1: who's been you know, on the gravy train here at

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Speaker 1: Fox Sports? Yeah, real real gravy trainer. Yeah. Oh, listen,

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Speaker 1: You've reached the pinnacle of broadcasting, right, the peak of

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Speaker 1: success here. Uh. I love Darcy Man. That was good.

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Speaker 1: I could have done three hours of podcasting with Darcy.

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Speaker 1: That was fine. But he said it though in his episode, right,

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Speaker 1: And this is something you alluded to that if sports

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Speaker 1: talk radio does not work out for you, you could

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Speaker 1: cross over to the political row. That's exactly what he's doing. Yeah. Yeah,

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Speaker 1: he's become a news talk guy in New Zealand because

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Speaker 1: they shut down that. If you missed the podcast, you

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Speaker 1: it downloaded. It's obviously still available just below this podcast.

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Speaker 1: But yeah, Darcy had lost his gig. They shut down

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Speaker 1: the entire network during the pandemic. They they're not bringing

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Speaker 1: it back most likely, and he crossed over and became

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Speaker 1: a newshound and uh so, yeah, I would definitely consider that.

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Speaker 1: If Fox Sports Radio goes away, if they get rid

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Speaker 1: of out and they get out of the Ben Mallar business,

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Speaker 1: uh then I would I would have to go somewhere else.

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Speaker 1: But yeah, I like doing sports. Haven't done it in

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Speaker 1: a hundred and thirty something days, but you know why not.

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Speaker 1: But yeah, it was it was fun with back to

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Speaker 1: jonas though. I was it was great. I was happy

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Speaker 1: I was invited. My wife. My wife was bragging too,

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Speaker 1: She's like, well, see, you know people are inviting you

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Speaker 1: to things. I'm like, you know, you think you think

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Speaker 1: Jonas was inviting you or inviting your wife. Yeah, I

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Speaker 1: don't know. I have no idea. I I'm it's like

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Speaker 1: a package deal though. So that's the thing. It's a

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Speaker 1: it's a contractual agreement. That's a package situation. And it's

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Speaker 1: very bougie how you leave these places too, because you

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Speaker 1: didn't say goodbye to meat and shake my hand and

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Speaker 1: give me a hug. But you're just like, we're we're

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Speaker 1: gonna take a little drive down the coast. Let me

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Speaker 1: tell you what happened after that? Go white collar? No, no, no,

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Speaker 1: let me tell you what this is great. So you're

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Speaker 1: right now. I do not believe in the in the

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Speaker 1: long goodbye. I believe in the big hello, and and

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Speaker 1: then you just disappear. And that's the proper party attache. Right.

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Speaker 1: That's like Looney taught me that years ago. Looney's a socialite,

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Speaker 1: he's an aristocrat, and so I learned that from Looney.

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Speaker 1: Where you go to a party, you may you show

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Speaker 1: up a little late, right, and then it was, oh

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Speaker 1: look who's here, and then they give you the big welcome.

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Speaker 1: You say hello, and they give you the hero's welcome,

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Speaker 1: like you're walking down the red carpet, but then when

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Speaker 1: you leave, there's mystery, where did you go? Where are they?

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Speaker 1: And it makes it more interesting you. Of course, when

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Speaker 1: you leave a party, shake everyone's hand, you hug him,

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Speaker 1: you hug it out and all that room, it's a

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Speaker 1: little bit different. I'm not like that. But but we did,

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Speaker 1: you know the weekend that was the end of my

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Speaker 1: furlough when Jonas got married. Actually it wasn't the end,

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Speaker 1: but it was like the last full day before I

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Speaker 1: had to go back to work. So you know, I

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Speaker 1: don't usually go west of the four or five those

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Speaker 1: on my people. That's not that's not my place, that's

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Speaker 1: a hostile militarized zone, uh in there. So anyway, uh,

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Speaker 1: we were over the hill from Malibu, but we were

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Speaker 1: also close to a place that I had always wanted

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Speaker 1: to go, but it was kind of far away from

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Speaker 1: where I live, way far away, Lake Sherwood. Lake Sherwood's

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Speaker 1: a famous lake that many Hollywood movies. The original Robin

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Speaker 1: Hood was filmed that and a number of other major

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Speaker 1: Hollywood movies over the years have been filmed. There's just

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Speaker 1: really beautiful lake in the middle of that part of

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Speaker 1: l A way out, you know, west of the four

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Speaker 1: or five. And I think it's even like Ventura County.

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Speaker 1: It's that far, I mean in l A l A proper.

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Speaker 1: So I'm like, all right, well, listen, this is probably

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Speaker 1: the only opportunity in any any nearer point in my

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Speaker 1: life I'll be able to go to this Lake Sherwood.

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Speaker 1: But I've heard a lot about it, and I want

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Speaker 1: to check it out. So we went over to Lake

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Speaker 1: Sherwood and like Wayne, I think Wayne Gretzky used either

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Speaker 1: does live there or used to live there, like a

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Speaker 1: lot of celebrities have mansions, because it's like mansions on

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Speaker 1: a hill looking over this beautiful lake. And so we

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Speaker 1: go there and I, you know, I put in the

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Speaker 1: ways and I drive to Lake Sherwood and uh, hand

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Speaker 1: to God, guests, Scott, I couldn't find a fucking way. Again.

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Speaker 1: I think it's a private lake. I don't think you're

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Speaker 1: any common people are allowed to get in. There was

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Speaker 1: a gate and it did not appear to be very

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Speaker 1: welcoming for the unwashed, the peasants. So that was that

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Speaker 1: was a waste. And then and so then we're a

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Speaker 1: lake Sherwood and there we couldn't get into it. We

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Speaker 1: saw it. We drove on the hill and we saw

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Speaker 1: it was beautiful and it did look just like the

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Speaker 1: movies I've had it. I wasn't changed. But then we

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Speaker 1: were like, oh, I think Malibu is just over the

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Speaker 1: hill from here, so we'll take this road up over

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Speaker 1: the hill. And it was like a two lane road

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Speaker 1: and it was like a death march. And I know

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Speaker 1: people hear stories about people dying in the canyons around Malibu,

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Speaker 1: and I was like, what the fuck. Oh, I could

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Speaker 1: totally understand it. I mean, you make one wrong move

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Speaker 1: on that road, it's lights out, party over, You're dead.

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Speaker 1: It's why I've never I've never been on that road before,

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Speaker 1: but it was it was scary, man. I was like

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Speaker 1: it was a finger biting time. Is this is this

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Speaker 1: is the evolution of you two thousand two twenty, Like

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Speaker 1: you're doing digital stuff. Now you're driving west of the

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Speaker 1: four oh five, You're hanging out to a wed to

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Speaker 1: Malibu like fighting to a wedding. These are these are

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Speaker 1: just further motivations for you to to continue to to

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Speaker 1: move And my great one, Malibu sucks all right, malib

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Speaker 1: was terrible. There's nowhere to park. It's it's overwhelmed with people.

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Speaker 1: It's disgusting. Okay, well, Calabasas is close by. That's that's

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Speaker 1: a great city to hang out with the Kardashians. Nothing

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Speaker 1: wrong with that. Look go over everybody else in this world.

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Speaker 1: That's great. Man. It's one look down from the hill

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Speaker 1: at all the evil people. Yeah, you look down with

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Speaker 1: your nose up. It's the way that you should be.

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Speaker 1: It's a wonderful thing. I think the majority of your

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Speaker 1: listeners would love to live west of the four or five. No, No,

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Speaker 1: this is a working class mallew militia. These are people

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Speaker 1: assault of the earth. They've got dirt under their finger

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Speaker 1: nails something. You don't know anything because they don't they

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Speaker 1: don't take a bath, that they don't shower. That's why

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Speaker 1: they have dirt under their fingernails. They're all credents, they're

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Speaker 1: just they're just they're actually working. Unlike that. There's a

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Speaker 1: lot of listeners there and drink the little cocktails. I

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Speaker 1: think there's a lot of people that that have the

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Speaker 1: option to work, but they're not working because they'd rather

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Speaker 1: take some statewide benefits. And we won't talk about those people. Wow,

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Speaker 1: look at you. Guess all right, so let's get I

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Speaker 1: want to get to this Mallard video review. How dare

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Speaker 1: you with that ad? Live? Do not do the head face.

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Speaker 1: It's the congratulations to a colleague of ours, a good friend.

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Speaker 1: He deserves it. No, but I thought you were You're

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Speaker 1: not supposed to say you actually went to a solvent.

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Speaker 1: That's taboo. I mean you were there and that Rob

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Speaker 1: Parker and Bo Bo on the radio, and we had

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Speaker 1: a lot of the big stars of Flox Sports Radio

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Speaker 1: with you. Yeah, when we were taking temperatures, we didn't

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Speaker 1: say it was a mass gathering. We name who else

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Speaker 1: can we need? Though there were a bunch of people. Yeah,

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Speaker 1: we came in at different times. Ralph Urban showed up.

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Speaker 1: Ralph was there. He did he shout it. Ralph he

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Speaker 1: shut up with full blown ppe attire was unbelievable. He

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Speaker 1: had like a poker weird mask thing going on. It was.

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Speaker 1: It was kind of a Tommy Bahamas shirt and pants.

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Speaker 1: It's good. Look, man, don't knock the Tommy Bahama. That's

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Speaker 1: a quality look right there. I'm jealous. Those are expensive shirts.

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Speaker 1: Those shirts are like two uter bucks. Yes see, you

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Speaker 1: know man, that's that's the attire that you wear when

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Speaker 1: you're west of the four oh five. No. But you

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Speaker 1: know the good thing with that Tommy Bahama stuff. They

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Speaker 1: have an outlet store in uh was it prim Nevada, California,

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Speaker 1: Nevada border and stuff pretty cheap there. That is true.

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Speaker 1: That is great Father's Day attire. If you want to

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Speaker 1: buy something of a year old man, Yeah, it is.

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Speaker 1: They make it the be a sponsor of this podcast

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Speaker 1: is what they should job by them Tommy Bahammed and

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Speaker 1: will be all about that action, all about that action.

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Speaker 1: So Fox Sports Radio has the best sports talk lineup

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Speaker 1: in the nation. Catch all of our shows at Fox

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Speaker 1: Sports Radio dot com and within the I Heart Radio

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Speaker 1: app search f s R to listen live. The Mallard

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Speaker 1: video view and it is all about panic Peddler's exposed.

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Speaker 1: This obviously goes in lockstep with what we've talked about

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Speaker 1: on this show, and it is a John Stossel report,

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Speaker 1: and so this is a Mallard film review, a video

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Speaker 1: And the good thing about this is it's only like

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Speaker 1: I think it's less than six minutes, right, And I

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Speaker 1: think it's less than six minutes the entire thing. So

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Speaker 1: this is not like a big thirty minute production or

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Speaker 1: something or an hour. We're not asking you to do

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Speaker 1: all that, um. And it's it's just a video on YouTube.

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Speaker 1: John Stossel has his own YouTube channel and you can

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Speaker 1: find it that way if you just go to his

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Speaker 1: YouTube channel. This video that we are going to talk

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Speaker 1: about on this edition of the podcast, it is titled

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Speaker 1: doomsday Ers or Doomsayers Keep getting It Wrong? Doomsayers keep

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Speaker 1: getting it Wrong from John John Stossel. And we'll give

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Speaker 1: the grade in a couple of minutes. But just a

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Speaker 1: few of the things that stood out. First of all, uh,

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Speaker 1: they they pointed out in the video John Stossel did

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Speaker 1: the Imperial College of London, which are the biggest villains

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Speaker 1: in this entire coronavirus story. And if you're really looking

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Speaker 1: for a real bad guy and everyone wants to blame

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Speaker 1: Trump and all this, blame London's Imperial College. They were

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Speaker 1: the ones when this first began to happen, the coronavirus

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Speaker 1: that said between two and three million Americans we're going

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Speaker 1: to die, all right, said it right there, um and

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Speaker 1: they they they also said if there was social distancing

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Speaker 1: on the whole population, the death toll could be cut

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Speaker 1: in half, but it would still be one point one

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Speaker 1: million or one point four million or something like that.

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Speaker 1: That are we're gonna die by the summer, by the summer,

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Speaker 1: all right? It was bullshit. The actual death toll has

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Speaker 1: been they said in this video. It's like one of

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Speaker 1: that number, right. And then the thing that blew me

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Speaker 1: away was I didn't really know much. Maybe you did,

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Speaker 1: guest scout. I didn't know much about the Imperial College

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Speaker 1: of London. I mean I was naive to it. I

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Speaker 1: didn't hear any about it. And you hear this too,

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Speaker 1: then they must know what they're talking about. And then

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Speaker 1: this is what really pissed me off. So I'm I'm

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Speaker 1: watching the video and I wrote a few notes down

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Speaker 1: here because it really resonated with me, and I was like, wow,

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Speaker 1: this is this is big here the Imperial College. According

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Speaker 1: to the video from John Stossel, they predicted in recent

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Speaker 1: years sixty thousand deaths from swine flew, hundred and thirty

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Speaker 1: six thousand people were gonna die from mad cow disease,

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Speaker 1: two hundred million, we're gonna die from the bird flu.

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Speaker 1: The actual numbers somewhere in the hundreds total total. And

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Speaker 1: yet these fucking politicians. These people give a number, and

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Speaker 1: the politicians okay, shut everything down, shut everything down. Everyone's

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Speaker 1: gonna die. And the thing that's also knowing is the

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Speaker 1: the public believes it. You know, a lot of the

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Speaker 1: dummies in the there's no critical thinking. Critical thinking, be damned,

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Speaker 1: there's no Whatever you're told, you just believe. You believe

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Speaker 1: it as the gospel. God forbid you question anything. You're

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Speaker 1: the problem. You're not You're the problem. It's so upsetting here, Guesscott. Yeah,

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Speaker 1: it's like you're the anti vaxxer, you or the anti masker.

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Speaker 1: Don't forget Imperial College, ben is the home of the

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Speaker 1: ones I don't want to say disgrace but embarrassed scientist

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Speaker 1: Neil Ferguson. He's the one that had the models and

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Speaker 1: that predicting over two million deaths. And he's also the

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Speaker 1: same scientists that broke the lockdown roles overseas to go

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Speaker 1: meet his married lover. There you go. So I just

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Speaker 1: so so again. You know, it's like people talk about

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Speaker 1: facts and what's real and what's not real. Well, these

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Speaker 1: are predictions. Now. I kid around on the show all

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Speaker 1: the time, on the radio show, and I say, hey, listen,

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Speaker 1: I am a distant relative of the great Nostradamus and

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Speaker 1: friend of Nostradinas who lives in Seattle, friend of the show,

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Speaker 1: and and you know, it's just tongue in cheek and

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Speaker 1: I'm having a good time where it. But you can't

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Speaker 1: fucking predict the future. I keep cursing here because it's this.

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Speaker 1: Really the video upset me, guess gun and uh, and

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Speaker 1: it really bothered me because of what's going on, and

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Speaker 1: it doesn't have to be going on. The lockdowns, and

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Speaker 1: John Stossel had another person from the science community who

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Speaker 1: was pointing out that the the lockdowns are wrong. They're

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Speaker 1: they're dangerously wrong, which I with, I agree with, and

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Speaker 1: it's all of this based on bullshit, which is just

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Speaker 1: so upsetting. And then they highlighted some of the different

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Speaker 1: news outlets and some of the politicians who when you

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Speaker 1: bring this stuff up, right, when you bring up this

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Speaker 1: kind of stuff, they all say, and they quoted Biden,

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Speaker 1: But it's not just Joe Biden, to be fair, it's

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Speaker 1: everyone in political theater who says, follow the science, listen

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Speaker 1: to the experts, do what they tell you, and they

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Speaker 1: mock anyone that questions the science and then did you

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Speaker 1: see the part this guy, what's the guy's named? Matt

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Speaker 1: Ridley is the guy's name I wrote down? So he

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Speaker 1: he said, there is no such thing as as the science.

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Speaker 1: Not that there's not science, but as he pointed, this

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Speaker 1: is a very important lesson that I'm gonna I'm gonna

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Speaker 1: steal and I'm gonna use when this stuff comes up

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Speaker 1: because I know we'll have many more apocalypse before we're

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Speaker 1: done and we check out of this world. But that

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Speaker 1: guy pointed out out that you know, expert predictions science,

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Speaker 1: all sciences is it consists of people disagreeing with each other.

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Speaker 1: That science, Hello, dummies, that science. So when you hear

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Speaker 1: someone say trust the science and they dismiss you, and they're,

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Speaker 1: you know, that obnoxious, like, oh, it's obviously true, it's

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Speaker 1: the science. You don't believe in science, like you're a

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Speaker 1: bad person. I heard this from Coope the other day.

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Speaker 1: He he ambushed me on the show during the weekend.

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Speaker 1: You don't believe in science and you're contradicting yourself. Well,

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Speaker 1: all science contradicts itself. Yeah. Well, the best thing is

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Speaker 1: is you're not supposed to trust the science. You're supposed

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Speaker 1: to challenge the science, and that's his point, is that

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Speaker 1: whatever it was then is not the same as it

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Speaker 1: is now. And of course you get brand new information.

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Speaker 1: We go from January to February to March to where

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Speaker 1: we're at at some point in July. You're supposed to

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Speaker 1: challenge that because there is new information all the damn time.

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Speaker 1: And we've talked about this with the difference between wearing

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Speaker 1: a mask to wearing a full blown and ninety five

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Speaker 1: mask to wearing a a ppe rehab face, shielding a

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Speaker 1: man ask, the gloves, the whole nine yards. Lots of

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Speaker 1: these things have continued to involve. You have politicians back

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Speaker 1: when we had this lockdown saying no, you guys could

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Speaker 1: be out in open spaces. We had fucking Nancy Pelosi

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Speaker 1: in Chinatown hanging out saying it's perfectly fine to be

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Speaker 1: out here, and now all of a sun a sudden,

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Speaker 1: it's not. It's like these are the things that now.

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Speaker 1: Of course, Ben don't forget is that you have people

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Speaker 1: that are challenging you about this and perhaps ambushing you

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Speaker 1: with these lofty, lofty accolades and resumes. And you know,

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Speaker 1: I know the academics behind them, the academia, they love

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Speaker 1: to show the academia that proves that this person's a genius.

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Speaker 1: And the thing that's so upsetting is that they never

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Speaker 1: call him on the bullshit. You know. It's like nobody

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Speaker 1: goes back and says, hey, you were so wrong. That's criminal,

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Speaker 1: it's it's it's very odd how that has been allowed

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Speaker 1: to happen, and nobody, nobody calls him on the bullshit.

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Speaker 1: Like it's just like the way that you predict the

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Speaker 1: worst case in here. If you're wrong, nobody pushes back.

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Speaker 1: If you're right, then you can say I told you so, Yeah,

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Speaker 1: I told you so. You know. I just cannot understand

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Speaker 1: why a guy like Andrew cuomo Is is beloved by

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Speaker 1: by the media in New York when he actually put

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Speaker 1: sick individuals into these retirement centers and the elderly got worse,

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Speaker 1: and they got sick and then they died. That's the

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Speaker 1: that's where it hurts the most. When you're when your

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Speaker 1: ages infancy to your recovery rate as much higher than

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Speaker 1: those that are over sixty five years of age. It's

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Speaker 1: because you don't have as many underlying conditions. And he

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Speaker 1: put people in those retirement homes and they died. I

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Speaker 1: mean that that in itself, Ben is it's criminal, That's

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Speaker 1: exactly what it is. And he is being beloved by people,

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Speaker 1: and you're getting a fraction of the people in United

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Speaker 1: States that are trying to make him pay it for

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Speaker 1: his bad deeds. Listen, I this video, you gotta watch it.

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Speaker 1: It got my blood boiling. But I'm I'm a little

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Speaker 1: pleased with one part of it because at the beginning,

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Speaker 1: when they were going over the Imperial College and all

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Speaker 1: that stuff. I remember when we were on the air

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Speaker 1: of the night the music stopped in the NBA and

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Speaker 1: in the sports world, the world stopped that crazy night

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Speaker 1: when the NBA started shutting down. Rudy Gobert had tested positive.

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Speaker 1: It seemed like we were all living through a movie.

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Speaker 1: Tom Hanks it was reported had the coronavirus. We didn't

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Speaker 1: really know what that meant. You're always gonna die, you know,

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Speaker 1: it's it's it's it's just wild and crazy. But I

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Speaker 1: pointed out, I said, a lot of times these predictions

422
00:22:36,760 --> 00:22:39,680
Speaker 1: are not they don't ever turn out true. It's very frustrating,

423
00:22:40,240 --> 00:22:43,600
Speaker 1: And I guess the secret here, the secret sauce in

424
00:22:43,640 --> 00:22:48,639
Speaker 1: the science community is to always this is a bedrock

425
00:22:48,800 --> 00:22:53,120
Speaker 1: of science in predictions, you always over inflate the numbers

426
00:22:53,359 --> 00:22:57,600
Speaker 1: and then you take credit when the numbers stay alone. Right,

427
00:22:57,880 --> 00:23:03,879
Speaker 1: you always shoot overshoot what you're supposed to what is reality?

428
00:23:04,080 --> 00:23:05,760
Speaker 1: And uh? And then the other thing is like the

429
00:23:05,800 --> 00:23:07,640
Speaker 1: whole media part of it, which is this I guess

430
00:23:07,680 --> 00:23:11,680
Speaker 1: the second part of this And and that was also

431
00:23:11,760 --> 00:23:15,000
Speaker 1: I thought a really interesting part. Guy. I know you

432
00:23:15,040 --> 00:23:17,280
Speaker 1: have some thoughts on this too, but I the part

433
00:23:17,440 --> 00:23:24,120
Speaker 1: where predictions and the media and if you the reason

434
00:23:25,040 --> 00:23:26,800
Speaker 1: this guy, I think it was Ridley right, didn't really

435
00:23:26,840 --> 00:23:31,359
Speaker 1: say this, um where why do you keep getting pretty

436
00:23:31,560 --> 00:23:35,000
Speaker 1: these ridiculous predictions and they're wrong and all this stuff,

437
00:23:35,000 --> 00:23:38,280
Speaker 1: But yet the politicians and the media just slurp it

438
00:23:38,320 --> 00:23:41,840
Speaker 1: all up, they lick it all up, um and then

439
00:23:41,880 --> 00:23:44,720
Speaker 1: they get repeated year after year, whatever the case is.

440
00:23:45,720 --> 00:23:51,320
Speaker 1: And it's essentially because pessimism sells, right, Pessimism sells The

441
00:23:51,400 --> 00:23:55,720
Speaker 1: media wants to believe the worst possible story. It makes

442
00:23:55,800 --> 00:23:58,720
Speaker 1: for a better story. People watch the news more. We've

443
00:23:58,720 --> 00:24:01,280
Speaker 1: said it for years. It's true. What's human nature? When

444
00:24:01,280 --> 00:24:04,720
Speaker 1: they tell you you're gonna die their news at eleven

445
00:24:04,920 --> 00:24:07,040
Speaker 1: but will save you if you watch the eleven o'clock

446
00:24:07,040 --> 00:24:10,880
Speaker 1: news and the politicians that they can't push back on this.

447
00:24:10,960 --> 00:24:14,960
Speaker 1: So there's a there's an innate bias towards pessimism. Be

448
00:24:15,040 --> 00:24:17,480
Speaker 1: sure to catch live editions of The Ben Maller Show

449
00:24:17,520 --> 00:24:22,000
Speaker 1: weekdays at two am Eastern eleven pm Pacific towards pessimist, like,

450
00:24:22,560 --> 00:24:26,080
Speaker 1: if you give a low prediction on a death toll,

451
00:24:26,320 --> 00:24:29,560
Speaker 1: that's not gonna make the news, it's not gonna be

452
00:24:29,600 --> 00:24:32,320
Speaker 1: a sexy story to write about. But if you give

453
00:24:32,359 --> 00:24:37,280
Speaker 1: an outrageous cartoon number, then they're all about it. They'll

454
00:24:37,320 --> 00:24:40,719
Speaker 1: they'll run with that, right, how many people are gonna die? See? Now,

455
00:24:40,920 --> 00:24:43,119
Speaker 1: That's why I was a little surprised, because if we

456
00:24:43,160 --> 00:24:45,080
Speaker 1: go back to the episode we had Dick Stockton on

457
00:24:45,119 --> 00:24:48,679
Speaker 1: a few weeks ago. You you have a line that

458
00:24:48,760 --> 00:24:51,119
Speaker 1: you've used, that you've borrowed from them, that you said,

459
00:24:51,920 --> 00:24:55,080
Speaker 1: stats don't tell you what's gonna happen. They've told you,

460
00:24:55,280 --> 00:24:57,720
Speaker 1: Stats tell SATs tell you what has happened. They don't

461
00:24:57,720 --> 00:24:59,520
Speaker 1: tell you what's gonna happen. Right, And that's what I'm saying,

462
00:24:59,560 --> 00:25:03,600
Speaker 1: So that that is that is a it's a faulty predictor, right,

463
00:25:03,600 --> 00:25:05,960
Speaker 1: But that same thing is still applicable to what we're

464
00:25:05,960 --> 00:25:08,960
Speaker 1: talking about with the coronavirus and anything else these doomstairs

465
00:25:09,359 --> 00:25:12,200
Speaker 1: talk about because they shoot the moon, like you said,

466
00:25:12,680 --> 00:25:14,280
Speaker 1: and then all of a sudden they look like heroes

467
00:25:14,359 --> 00:25:17,439
Speaker 1: when it comes under what they had had speculated on.

468
00:25:17,600 --> 00:25:19,919
Speaker 1: It's a it's a guestimate. Of course, it's not an

469
00:25:19,920 --> 00:25:22,520
Speaker 1: exact am it, but it's a guestimate. And and I

470
00:25:22,560 --> 00:25:25,359
Speaker 1: think it's like, it's obviously wrong. But the fact that

471
00:25:25,400 --> 00:25:30,080
Speaker 1: people don't clap back at these people is utterly absurd. Yeah, yeah, exactly,

472
00:25:30,080 --> 00:25:33,439
Speaker 1: because again, the whole lesson, the big takeaway from the video,

473
00:25:33,520 --> 00:25:36,320
Speaker 1: if you take one thing away, how the media covers

474
00:25:36,320 --> 00:25:38,600
Speaker 1: these and listen, I'm technically part of the media, and

475
00:25:38,640 --> 00:25:41,280
Speaker 1: I have friends of mine that work at news stations, television,

476
00:25:41,359 --> 00:25:43,760
Speaker 1: newspaper writers, have friends I've made over the years, and

477
00:25:43,800 --> 00:25:46,879
Speaker 1: I like these people, but it doesn't change how the

478
00:25:46,880 --> 00:25:49,880
Speaker 1: news business works. Right, If you say something that's really

479
00:25:49,920 --> 00:25:53,840
Speaker 1: negative and really you know, doomsday prophecies like about how

480
00:25:53,840 --> 00:25:57,000
Speaker 1: many people are gonna die, they run with it. They

481
00:25:57,040 --> 00:25:59,800
Speaker 1: don't question it, and they just go with it because

482
00:25:59,840 --> 00:26:03,959
Speaker 1: the sensationalism selves, the panic pedlar, the alarmist, the chicken

483
00:26:04,000 --> 00:26:06,800
Speaker 1: little that is the mindset. Well that at the same

484
00:26:06,800 --> 00:26:09,200
Speaker 1: thing crosses over to what's going on in our political

485
00:26:09,240 --> 00:26:13,240
Speaker 1: realm with with the activism and black Lives matter, police

486
00:26:13,640 --> 00:26:17,000
Speaker 1: brutality and things like that. Is that if you don't

487
00:26:17,119 --> 00:26:21,080
Speaker 1: if you challenge it, then you're insensitive, you lack sympathy,

488
00:26:21,160 --> 00:26:26,160
Speaker 1: you lack empathy, and you're totally anti whatever that causes. Right,

489
00:26:26,800 --> 00:26:29,800
Speaker 1: So if you challenge it, then you're anti science, ben

490
00:26:29,920 --> 00:26:36,840
Speaker 1: and you're fucking your Yeah, you're educated, you are a neanderthal,

491
00:26:37,000 --> 00:26:39,520
Speaker 1: you're whatever it may be. But you are not educated,

492
00:26:39,960 --> 00:26:41,960
Speaker 1: and you don't care about the general good of the

493
00:26:42,040 --> 00:26:45,760
Speaker 1: country or the world. Wow, that is It's just the

494
00:26:45,840 --> 00:26:49,000
Speaker 1: whole thing is is crazy town. The whole thing is

495
00:26:49,040 --> 00:26:53,040
Speaker 1: crazy town. And you know, I get into these conversation

496
00:26:53,080 --> 00:26:55,920
Speaker 1: you talk about the movement to like defund the police.

497
00:26:55,920 --> 00:26:57,600
Speaker 1: I got I got a friend of mine is oh,

498
00:26:57,680 --> 00:26:59,399
Speaker 1: actually get rid of He says me all these negative

499
00:26:59,400 --> 00:27:01,360
Speaker 1: stories about the police right now that you know he's

500
00:27:01,400 --> 00:27:05,080
Speaker 1: upset because people, uh the police that commit crime, right

501
00:27:05,119 --> 00:27:07,000
Speaker 1: that they end up killing people on the job and

502
00:27:07,040 --> 00:27:10,520
Speaker 1: all that stuff. And so I gave him some status

503
00:27:10,560 --> 00:27:12,479
Speaker 1: and I I have told him this guy has been

504
00:27:12,520 --> 00:27:15,280
Speaker 1: cherry picking negative. He never sends any positive stories about

505
00:27:15,280 --> 00:27:17,600
Speaker 1: the police. He only sends negative stories. He's got he's

506
00:27:17,600 --> 00:27:20,520
Speaker 1: got police derangement syndrome and all that. You know, it's

507
00:27:20,560 --> 00:27:24,399
Speaker 1: to defund the police. And and so I gave him

508
00:27:24,440 --> 00:27:28,160
Speaker 1: the numbers. There are almost seven hundred thousand full time

509
00:27:28,160 --> 00:27:30,600
Speaker 1: police officers in the United States. The according to the

510
00:27:30,640 --> 00:27:33,360
Speaker 1: last numbers I saw, there's about nine thousand sworn law

511
00:27:33,520 --> 00:27:38,040
Speaker 1: enforcement officers in America. Out of those nine almost a million.

512
00:27:38,800 --> 00:27:41,840
Speaker 1: How many of them are committing Actually, it's this thing

513
00:27:41,920 --> 00:27:45,520
Speaker 1: called you know, in any group, any group, there's bad teachers,

514
00:27:45,520 --> 00:27:48,720
Speaker 1: there's bad there's bad doctors. Like I pointed out to

515
00:27:48,800 --> 00:27:50,879
Speaker 1: my my guy, who hates the police. I said, listen,

516
00:27:51,080 --> 00:27:53,199
Speaker 1: you know the third most common cause of death in

517
00:27:53,240 --> 00:27:56,920
Speaker 1: America is medical error. Why don't why don't we defund

518
00:27:56,920 --> 00:27:59,840
Speaker 1: the doctors by that logic? You know, the most doctors

519
00:27:59,840 --> 00:28:02,760
Speaker 1: are good. Most doctors do the right thing. Most doctors,

520
00:28:02,760 --> 00:28:04,240
Speaker 1: when you go in for an operation, they do what

521
00:28:04,240 --> 00:28:05,800
Speaker 1: they're supposed to do. They don't get it wrong, they

522
00:28:05,800 --> 00:28:08,639
Speaker 1: don't funk up. But some do. Some do. Sometimes you

523
00:28:08,680 --> 00:28:10,840
Speaker 1: go into the operating room and there's a you know,

524
00:28:10,840 --> 00:28:13,359
Speaker 1: they leave a fucking scalpel in your body. You know

525
00:28:13,480 --> 00:28:18,040
Speaker 1: that happens, right, that happens. And do we defund the doctors? No,

526
00:28:18,359 --> 00:28:20,439
Speaker 1: it's only the police. We're out to get the police.

527
00:28:20,440 --> 00:28:23,359
Speaker 1: We gotta get the it's so so stupid, right, and

528
00:28:23,400 --> 00:28:25,439
Speaker 1: you can play that game. You know. You want to

529
00:28:25,440 --> 00:28:29,280
Speaker 1: stop people. Everyone wants to stop death. It shouldn't happen

530
00:28:29,320 --> 00:28:33,080
Speaker 1: from happening. Right, But there's a million people a year

531
00:28:33,119 --> 00:28:37,359
Speaker 1: that die world wide wide in automobile accidents. Right, there's

532
00:28:37,520 --> 00:28:41,720
Speaker 1: thirty three thousand seven or a day. Right, do we

533
00:28:41,880 --> 00:28:45,600
Speaker 1: defund cars? Do we get takeaway cars to save lives

534
00:28:45,600 --> 00:28:48,040
Speaker 1: through you can save four thousand lives a day almost

535
00:28:48,040 --> 00:28:50,760
Speaker 1: if you just get rid of these savage killing automobiles. Yeah,

536
00:28:50,840 --> 00:28:53,400
Speaker 1: you can. You can dissolve the automobile industry and you

537
00:28:53,440 --> 00:28:57,880
Speaker 1: can just make trains and trams and have public transportation

538
00:28:57,920 --> 00:29:02,120
Speaker 1: across the United States. Wow, it's just the whole thing

539
00:29:02,240 --> 00:29:05,040
Speaker 1: is is crazy, now, Ben, do you do know that

540
00:29:05,080 --> 00:29:07,680
Speaker 1: if you're a doctor operating on a patient or treating

541
00:29:07,680 --> 00:29:11,040
Speaker 1: a patient, or prescribing them medication. And that's the other

542
00:29:11,080 --> 00:29:14,600
Speaker 1: thing too. You have people that are prescribed medication let's

543
00:29:14,600 --> 00:29:18,040
Speaker 1: just say vicing in coding whatever it. Maybe after a

544
00:29:18,120 --> 00:29:23,280
Speaker 1: surgery people get addicted to that ship pharmaceutical sales as

545
00:29:23,320 --> 00:29:26,239
Speaker 1: a whole. It's a trillion dollar industry, and there are

546
00:29:26,360 --> 00:29:31,320
Speaker 1: sad unfortunate people that become addicted to medication and pills.

547
00:29:32,000 --> 00:29:36,240
Speaker 1: I mean, do you find those people, those individuals, doctors

548
00:29:36,280 --> 00:29:41,320
Speaker 1: and physicians, do you find them complicit in that? Because

549
00:29:41,360 --> 00:29:44,960
Speaker 1: if they are, then technically speaking, those people should be

550
00:29:45,040 --> 00:29:47,040
Speaker 1: charged with the crime and if they lead to that

551
00:29:47,080 --> 00:29:51,280
Speaker 1: cause of death that could be manslaughter. It's just madness. Now.

552
00:29:51,280 --> 00:29:53,280
Speaker 1: I'd like to think that this is just a temporary

553
00:29:53,440 --> 00:29:57,240
Speaker 1: hysteria and insanity. It will calm down. Or is it

554
00:29:57,240 --> 00:29:59,400
Speaker 1: gonna take defunding the place and then having you know,

555
00:29:59,520 --> 00:30:01,640
Speaker 1: I guess the crime rate. The good thing about defunding

556
00:30:01,640 --> 00:30:03,560
Speaker 1: the police is the crime rate wouldn't spike up because

557
00:30:03,560 --> 00:30:05,200
Speaker 1: no one be able to report the crime. Because there's

558
00:30:05,200 --> 00:30:06,600
Speaker 1: no one to report the crime to. Do you know,

559
00:30:06,760 --> 00:30:08,560
Speaker 1: do you have limited police, they wouldn't be able to

560
00:30:08,600 --> 00:30:13,040
Speaker 1: handle the overload or overload. I'm really just excited to

561
00:30:13,080 --> 00:30:15,720
Speaker 1: see one day when someone decides to take a video

562
00:30:15,760 --> 00:30:19,480
Speaker 1: of a social worker who's probably five ft four female

563
00:30:19,560 --> 00:30:23,200
Speaker 1: a hundred ten pounds trying to break up a domestic

564
00:30:23,280 --> 00:30:26,400
Speaker 1: violence dispute in the city of like let's say Compton

565
00:30:26,520 --> 00:30:29,760
Speaker 1: or I think that'll I think that'll that'll go well. Yeah,

566
00:30:30,040 --> 00:30:32,160
Speaker 1: I think that'll go well. Just to finish up on

567
00:30:32,200 --> 00:30:34,960
Speaker 1: the video, right, we went long on this. We also

568
00:30:35,000 --> 00:30:37,280
Speaker 1: did a few minutes on a wedding thanks to the

569
00:30:37,360 --> 00:30:40,000
Speaker 1: guest gun. But um, the other thing was about they

570
00:30:40,040 --> 00:30:43,720
Speaker 1: talked about other predictions that were completely bullshit, which also

571
00:30:43,760 --> 00:30:46,680
Speaker 1: resonated with me. The climate change thing, right, they made

572
00:30:46,800 --> 00:30:49,080
Speaker 1: they made a big deal about that in this this

573
00:30:49,160 --> 00:30:52,760
Speaker 1: video again, I recommend it. It's it's just just absolutely great.

574
00:30:53,760 --> 00:30:56,320
Speaker 1: Big fan of John Stossel. He's done great work for

575
00:30:56,360 --> 00:30:59,000
Speaker 1: a long time. He's now like it's just marginalized to

576
00:30:59,080 --> 00:31:01,040
Speaker 1: YouTube or whatever. There's lot of people on YouTube, so

577
00:31:01,080 --> 00:31:04,920
Speaker 1: that's good. But the they did a rant about the

578
00:31:05,360 --> 00:31:09,240
Speaker 1: climate change and they talked about was it Maldives is

579
00:31:09,280 --> 00:31:15,640
Speaker 1: what they the islands? And they said, and they went

580
00:31:15,680 --> 00:31:20,160
Speaker 1: back thirty two years ago, climate experts said that rising

581
00:31:20,280 --> 00:31:23,880
Speaker 1: seas would completely cover the islands of the Maldives in

582
00:31:23,920 --> 00:31:26,520
Speaker 1: the next thirty years. It's now thirty two years later.

583
00:31:27,200 --> 00:31:30,720
Speaker 1: The islands, according to that not only are they still around,

584
00:31:30,920 --> 00:31:33,640
Speaker 1: but they're they're in great shape. They even built they're

585
00:31:33,680 --> 00:31:36,800
Speaker 1: building a new airport there, but thirty two years ago.

586
00:31:37,320 --> 00:31:40,440
Speaker 1: You must listen to science. You have to believe the experts.

587
00:31:40,960 --> 00:31:43,320
Speaker 1: Be sure to catch live editions of The Ben Maller

588
00:31:43,400 --> 00:31:46,520
Speaker 1: Show weekdays at two a m. Eastern eleven pm Pacific.

589
00:31:47,480 --> 00:31:51,280
Speaker 1: It's crazy even out. Remember Al Gore, Yeah, that movie

590
00:31:51,400 --> 00:31:53,240
Speaker 1: that had a lot of bullshit that was in there

591
00:31:53,280 --> 00:31:58,880
Speaker 1: that didn't happen. That's so good climate change, h and

592
00:31:58,920 --> 00:32:02,640
Speaker 1: that was a very popular documentary. You know, got a

593
00:32:02,640 --> 00:32:06,800
Speaker 1: lot of money raised for for causes based on fear.

594
00:32:08,040 --> 00:32:10,120
Speaker 1: And now here we are that's more than ten years

595
00:32:10,120 --> 00:32:12,440
Speaker 1: since that movie. Right, Well, don't forget al Gore want

596
00:32:12,440 --> 00:32:15,240
Speaker 1: a Nobel Peace Prize in two thousand and seven for

597
00:32:15,240 --> 00:32:17,560
Speaker 1: for all of that too, so on climate change. So

598
00:32:18,600 --> 00:32:20,360
Speaker 1: there you go, All right, let's do let's do a

599
00:32:20,400 --> 00:32:22,800
Speaker 1: little pop quiz. Yes, and then how we end up

600
00:32:22,840 --> 00:32:26,240
Speaker 1: speaking for five minutes on this and the actual videos

601
00:32:26,320 --> 00:32:28,720
Speaker 1: five minutes and fifty four seconds because there's a lot

602
00:32:28,800 --> 00:32:30,760
Speaker 1: of good stuff packed in. There's a lot of good

603
00:32:30,760 --> 00:32:32,959
Speaker 1: stuff packed in the video. You know, people are cringing

604
00:32:32,960 --> 00:32:34,760
Speaker 1: at this audio right now. If they bitched a moment

605
00:32:34,840 --> 00:32:37,560
Speaker 1: about last week's episode, they probably got through half of

606
00:32:37,600 --> 00:32:40,680
Speaker 1: this and just no, no, this is this is good.

607
00:32:40,920 --> 00:32:44,160
Speaker 1: This is good information here, this is good. They're gonna

608
00:32:44,160 --> 00:32:47,120
Speaker 1: trigger a lot of people. Oh stop please, because I

609
00:32:47,200 --> 00:32:50,480
Speaker 1: don't like the reality. They're rather to go when the

610
00:32:50,560 --> 00:32:52,440
Speaker 1: legend becomes a fact, with the legends. So we're going

611
00:32:52,440 --> 00:32:55,479
Speaker 1: with the legend, not no, no, don't forget what you're doing, Ben,

612
00:32:55,560 --> 00:32:58,880
Speaker 1: If you're challenging my truths, I know. I know you

613
00:32:58,960 --> 00:33:00,760
Speaker 1: only want to hear from your I hear all the time.

614
00:33:00,840 --> 00:33:03,479
Speaker 1: I liked your show, but you said something I didn't like,

615
00:33:03,560 --> 00:33:06,920
Speaker 1: and I okay, that's fine. Don't listen. I'm fine. I

616
00:33:07,040 --> 00:33:09,600
Speaker 1: do the show, and enough people don't listen, I won't

617
00:33:09,600 --> 00:33:12,360
Speaker 1: be on the show. And but so far that hasn't happened.

618
00:33:12,640 --> 00:33:16,080
Speaker 1: I always love the fact, like I always use the

619
00:33:16,080 --> 00:33:19,080
Speaker 1: analogy when I always get amused when people It actually

620
00:33:19,080 --> 00:33:20,959
Speaker 1: makes me feel pretty good when people are so offended

621
00:33:20,960 --> 00:33:22,760
Speaker 1: they send me as I'm not listening to you anymore.

622
00:33:23,320 --> 00:33:26,640
Speaker 1: It's like going to a restaurant and you change the menu.

623
00:33:26,960 --> 00:33:29,360
Speaker 1: I'm not going anymore. It's like I just don't go.

624
00:33:29,520 --> 00:33:32,320
Speaker 1: Who the fund cares? You know, I mean, it's it's

625
00:33:32,320 --> 00:33:36,120
Speaker 1: so stupid, like the mindset of people. There's such idiots

626
00:33:36,160 --> 00:33:37,920
Speaker 1: that do that, but they a lot of them do,

627
00:33:38,080 --> 00:33:40,800
Speaker 1: and they I'm so offended. Oh I really liked your show,

628
00:33:40,840 --> 00:33:43,240
Speaker 1: but you said one thing I didn't like it. Okay,

629
00:33:43,280 --> 00:33:46,680
Speaker 1: what if they start attacking your sponsors and advertisers though, well,

630
00:33:46,680 --> 00:33:50,520
Speaker 1: there you go. Then then yeah, yeah, well that that

631
00:33:50,560 --> 00:33:52,360
Speaker 1: would be something I actually said that would have to

632
00:33:52,480 --> 00:33:54,040
Speaker 1: rise to that level. I don't think I've ever said

633
00:33:54,040 --> 00:33:56,800
Speaker 1: anything that would rise to that level anyway, so maybe

634
00:33:56,840 --> 00:33:58,760
Speaker 1: I will in the future, who knows. Now these are

635
00:33:58,760 --> 00:34:02,280
Speaker 1: actual quiz questions. Pop Quiz a weekly feature on the show.

636
00:34:02,360 --> 00:34:05,360
Speaker 1: So uh, we'll ask guestc on you listing can play

637
00:34:05,360 --> 00:34:08,600
Speaker 1: along as well. So men who have this type of

638
00:34:08,640 --> 00:34:15,799
Speaker 1: picture on their dating app profile will get fewer matches.

639
00:34:16,239 --> 00:34:18,080
Speaker 1: What is it now? We asked one of these questions

640
00:34:18,080 --> 00:34:20,760
Speaker 1: a while back on what would get you more matches?

641
00:34:21,080 --> 00:34:23,239
Speaker 1: But this is what would get you fewer matches on

642
00:34:23,280 --> 00:34:25,680
Speaker 1: a dating app. I know you're on all the dating apps,

643
00:34:25,680 --> 00:34:31,400
Speaker 1: guestcoun so I'd say a bathroom selfie. Bathroom selfie, well

644
00:34:32,600 --> 00:34:36,680
Speaker 1: kind of, You're in the right ballpark. The answer is

645
00:34:37,040 --> 00:34:42,279
Speaker 1: a shirtless selfie sutless. Now, what is the minds. Let's

646
00:34:42,280 --> 00:34:44,839
Speaker 1: get in the mind of a woman. So what if

647
00:34:44,880 --> 00:34:46,960
Speaker 1: it's a good look. I imagine most guys that do

648
00:34:47,000 --> 00:34:50,920
Speaker 1: a shirtless selfie are proud of their body, right, they're uh,

649
00:34:51,239 --> 00:34:54,319
Speaker 1: you know, not fatties, Right, They're like, yeah, I'm in

650
00:34:54,320 --> 00:34:57,000
Speaker 1: good shape, I'm I'm ripped, I'm gonna do Why would

651
00:34:57,360 --> 00:35:01,240
Speaker 1: why would that hurt you? Well, here's a thing, and

652
00:35:01,280 --> 00:35:04,560
Speaker 1: you're you're radio guy, and you love baseball. So taking

653
00:35:04,560 --> 00:35:08,000
Speaker 1: it this way radio play by play for baseball is

654
00:35:08,040 --> 00:35:11,120
Speaker 1: great because what they say is it's theater of the mind,

655
00:35:12,040 --> 00:35:14,719
Speaker 1: and so that's the same thing. It's applicable here is

656
00:35:14,760 --> 00:35:17,560
Speaker 1: that women want to have theater of the mind. Like

657
00:35:17,680 --> 00:35:20,440
Speaker 1: you don't want to show the entire you don't want

658
00:35:20,440 --> 00:35:22,839
Speaker 1: to show all the horsepower. You want to show just

659
00:35:23,800 --> 00:35:26,239
Speaker 1: the outside the body. So you want to make sure

660
00:35:26,280 --> 00:35:29,040
Speaker 1: that even if that guy has got you know, horses

661
00:35:29,040 --> 00:35:32,240
Speaker 1: in his in his engine, he's not flaunting everything. Because

662
00:35:32,440 --> 00:35:33,799
Speaker 1: that's the other thing too, is if you're doing it

663
00:35:33,840 --> 00:35:35,840
Speaker 1: for one, you're doing it for all, and women like

664
00:35:35,920 --> 00:35:39,000
Speaker 1: the thing that you're only dating them, you're only talking

665
00:35:39,040 --> 00:35:41,680
Speaker 1: to them, and obviously vice for a cemental women as well.

666
00:35:41,800 --> 00:35:44,520
Speaker 1: So you don't want to give it away all the goods,

667
00:35:44,560 --> 00:35:49,839
Speaker 1: as they would say. So I'm not I'm not condoning that,

668
00:35:50,040 --> 00:35:54,000
Speaker 1: but you know it's fun, all right. So you wanna

669
00:35:54,280 --> 00:35:56,480
Speaker 1: you want the element of surprise to still be there.

670
00:35:56,480 --> 00:35:58,600
Speaker 1: You want the when you unpackage the gift, you want

671
00:35:58,600 --> 00:36:00,480
Speaker 1: to see what's in the gift. Gotta have little bit

672
00:36:00,480 --> 00:36:03,200
Speaker 1: of four play, right, I mean, if you're you know,

673
00:36:03,239 --> 00:36:04,440
Speaker 1: I mean, you don't want to answer the door and

674
00:36:04,480 --> 00:36:06,799
Speaker 1: the woman just dropping drawers right in front of you.

675
00:36:07,000 --> 00:36:09,640
Speaker 1: It's nice, but I mean gonna lead into it, you know,

676
00:36:09,719 --> 00:36:11,799
Speaker 1: like a bottle of wine or something like yeah, because

677
00:36:11,800 --> 00:36:13,520
Speaker 1: if she's doing that for you, you know she's doing

678
00:36:13,520 --> 00:36:17,080
Speaker 1: it for somebody else or has you know. Well there's

679
00:36:17,120 --> 00:36:19,520
Speaker 1: a point for some guys that don't mind. You know.

680
00:36:19,640 --> 00:36:23,560
Speaker 1: That's what Amsterdam is for Vegas. Alright, alright, anyway, here's

681
00:36:23,600 --> 00:36:27,000
Speaker 1: the question. At thirty seven percent of people who started

682
00:36:27,000 --> 00:36:35,040
Speaker 1: working from home during the pandemic, I've discovered this surprising factoid. Um,

683
00:36:35,880 --> 00:36:42,680
Speaker 1: they've discovered this, Um they work more efficiently. Do do

684
00:36:42,960 --> 00:36:46,279
Speaker 1: do Do you know that they are actually working more

685
00:36:46,440 --> 00:36:48,799
Speaker 1: than when they're in the office. That's the same thing,

686
00:36:49,960 --> 00:36:52,680
Speaker 1: not more, no efficiently, more efficiently would mean you're working

687
00:36:52,760 --> 00:36:55,879
Speaker 1: less because you're getting more work done. I don't know.

688
00:36:56,000 --> 00:36:59,040
Speaker 1: I mean working eight hours at work is different than

689
00:36:59,080 --> 00:37:01,360
Speaker 1: working eight hours at home, because I think you probably

690
00:37:01,440 --> 00:37:04,560
Speaker 1: work harder at home. You get the flowers at home

691
00:37:04,560 --> 00:37:06,440
Speaker 1: than you do when you're at well. I've I've worked

692
00:37:06,480 --> 00:37:09,560
Speaker 1: more just because of the time I would spend driving

693
00:37:09,880 --> 00:37:13,600
Speaker 1: from Siberia into work. I just spend working and finding

694
00:37:13,640 --> 00:37:15,640
Speaker 1: things to talk about and do and things like that.

695
00:37:15,680 --> 00:37:18,120
Speaker 1: So I haven't put in more time. I always put

696
00:37:18,160 --> 00:37:19,440
Speaker 1: a lot of time in any ways, just too I

697
00:37:19,480 --> 00:37:21,000
Speaker 1: put way too much time, and I should do a

698
00:37:21,000 --> 00:37:23,360
Speaker 1: lot less of Some of these guys show up a

699
00:37:23,360 --> 00:37:25,200
Speaker 1: minute before the show and just turn the mic on,

700
00:37:25,360 --> 00:37:29,239
Speaker 1: and you know, I don't usually do that. Like, I

701
00:37:29,239 --> 00:37:31,520
Speaker 1: don't know. I feel like I should be getting paid

702
00:37:31,560 --> 00:37:33,279
Speaker 1: on your show too, Like I send you a lot

703
00:37:33,280 --> 00:37:35,759
Speaker 1: of great a material. I write some of the monologues.

704
00:37:35,840 --> 00:37:39,000
Speaker 1: I feel like I should be getting paid. It's all

705
00:37:39,040 --> 00:37:41,399
Speaker 1: the monologues. Coop does, all the teases. I just show

706
00:37:41,480 --> 00:37:43,960
Speaker 1: up a minute before I'm there at ten fifty nine

707
00:37:43,960 --> 00:37:45,759
Speaker 1: West Coast time. That's when I show up. When was

708
00:37:45,800 --> 00:37:48,680
Speaker 1: the last time you actually had a producer write a

709
00:37:48,760 --> 00:37:51,919
Speaker 1: monologue for you, like has that never happened, never really

710
00:37:51,960 --> 00:37:53,440
Speaker 1: had Like I've never had that happened. But I have

711
00:37:53,560 --> 00:37:56,360
Speaker 1: had producers that were proactive, that would send me stories

712
00:37:56,400 --> 00:37:57,799
Speaker 1: and say, hey, this would be good. I think this

713
00:37:57,840 --> 00:37:59,440
Speaker 1: is better at your wheel. I haven't had that in

714
00:37:59,480 --> 00:38:02,399
Speaker 1: a while, but and I I like that, you know, say,

715
00:38:02,480 --> 00:38:04,439
Speaker 1: helped me out a little bit. But I've had only

716
00:38:04,440 --> 00:38:06,399
Speaker 1: a few of those guys over the years too, so

717
00:38:06,480 --> 00:38:09,600
Speaker 1: it's it's pretty every man for himself pretty much. All right. Uh,

718
00:38:09,760 --> 00:38:13,240
Speaker 1: here's the question. The average person owns six of these,

719
00:38:13,280 --> 00:38:16,000
Speaker 1: but I didn't pay for any of them. I was

720
00:38:16,000 --> 00:38:21,400
Speaker 1: gonna say shoes, Um, six of these the average person

721
00:38:22,360 --> 00:38:26,040
Speaker 1: something to do with the kitchen. I was gonna say, umbrellas.

722
00:38:26,280 --> 00:38:33,759
Speaker 1: Um uh fuck they have six fucks? Is that what

723
00:38:33,840 --> 00:38:40,920
Speaker 1: you're guessing? Fuck me? Fuck you that man. I don't um.

724
00:38:41,760 --> 00:38:47,319
Speaker 1: I'm I'm baffled on this one. I will say, let's say,

725
00:38:47,360 --> 00:38:52,719
Speaker 1: frying pan, frying pan, alright, frying pan. No coffee mug, yeah,

726
00:38:52,800 --> 00:38:57,360
Speaker 1: coffee six? Like I could see that. My wife buys

727
00:38:57,400 --> 00:38:59,200
Speaker 1: a lot of coffee mugs, but she also has people

728
00:38:59,200 --> 00:39:01,239
Speaker 1: give her coffee. She loves coffee. I don't have any

729
00:39:01,239 --> 00:39:05,600
Speaker 1: coffee more. She's a coffee drinker. Yeah, she's not perfect,

730
00:39:05,719 --> 00:39:07,440
Speaker 1: that's not I thought she was a hippie, like the

731
00:39:07,560 --> 00:39:10,879
Speaker 1: herbal tea and you know, something like the ayahuasca like that.

732
00:39:11,000 --> 00:39:12,520
Speaker 1: Now she does a lot of tea stuff too. She

733
00:39:12,600 --> 00:39:15,880
Speaker 1: does coffee alright, Um, working overnights. I don't do it,

734
00:39:15,880 --> 00:39:18,359
Speaker 1: but she does more. Kids say they would rather do

735
00:39:18,480 --> 00:39:23,840
Speaker 1: this activity with their mom than their dad. Shop shop

736
00:39:24,480 --> 00:39:27,799
Speaker 1: that's sexist, guest gun hunt there you Uh no, The

737
00:39:27,840 --> 00:39:30,239
Speaker 1: answers go for a drive. Why would it be more

738
00:39:30,280 --> 00:39:34,000
Speaker 1: fun with mom than dad? Why would that be more fun?

739
00:39:34,440 --> 00:39:37,200
Speaker 1: I don't know, it's the same thing. Maybe because they

740
00:39:37,239 --> 00:39:40,200
Speaker 1: know mom will always give them a treat after the drive.

741
00:39:40,280 --> 00:39:42,000
Speaker 1: Oh that's true, Like, oh, it's got some ice cream.

742
00:39:42,040 --> 00:39:44,880
Speaker 1: You've been good. Dad's like, fuck you, I didn't get you.

743
00:39:45,320 --> 00:39:48,920
Speaker 1: All right. When a couple argues about this subject, the

744
00:39:49,080 --> 00:39:55,080
Speaker 1: woman almost always wins. I was gonna say, a time together.

745
00:39:56,360 --> 00:40:00,319
Speaker 1: Uh no, Whether whether a pet sleeps in the bed?

746
00:40:00,800 --> 00:40:05,040
Speaker 1: Fuck that? Does bella sleep in your bed? She does?

747
00:40:05,480 --> 00:40:09,759
Speaker 1: She does? Yeah, No, wonder you don't get any sleep? No,

748
00:40:10,000 --> 00:40:13,600
Speaker 1: she's dude. She sleeps more. You can't even hear. It's

749
00:40:13,640 --> 00:40:15,799
Speaker 1: not even like a really dog. She's a bark. But

750
00:40:15,840 --> 00:40:18,200
Speaker 1: aren't you worried about like turning over and hitting her

751
00:40:18,320 --> 00:40:20,960
Speaker 1: or kicking her. I don't really turn over much at all.

752
00:40:21,000 --> 00:40:23,600
Speaker 1: And and you know it's every dog for itself. You know,

753
00:40:23,840 --> 00:40:26,000
Speaker 1: she can't get out of the way that's on her.

754
00:40:26,040 --> 00:40:28,680
Speaker 1: That's a bad job by her. All right, all right,

755
00:40:29,200 --> 00:40:31,600
Speaker 1: this is this kind of this is pet related. So

756
00:40:31,640 --> 00:40:38,680
Speaker 1: this is the number one topic that dog owners fight over. Um,

757
00:40:38,719 --> 00:40:41,719
Speaker 1: who walks the dog? That is correct? Who has to

758
00:40:41,719 --> 00:40:44,560
Speaker 1: take the dog for a walk. Now, we don't take

759
00:40:44,600 --> 00:40:47,640
Speaker 1: Bella for walks. We have a backyard, a little backyard,

760
00:40:47,680 --> 00:40:49,680
Speaker 1: and Bella runs around out there and does her thing.

761
00:40:49,760 --> 00:40:52,080
Speaker 1: And she doesn't need a lot of exercises. A lazy fuck.

762
00:40:52,520 --> 00:40:55,160
Speaker 1: So she's got that going for little backyard with a

763
00:40:55,200 --> 00:40:57,120
Speaker 1: mile long drive. Well, you have a fire pit in

764
00:40:57,160 --> 00:40:59,200
Speaker 1: your backyard. Don't tell me it's little. It's such a

765
00:40:59,200 --> 00:41:03,880
Speaker 1: bullshit arepit? Yeah, it's a it's a pit. It's not

766
00:41:03,920 --> 00:41:08,040
Speaker 1: a firepit. It's a fire pit. Your definition of firepit

767
00:41:08,200 --> 00:41:10,520
Speaker 1: in my definition of firepit? Or two for things? All right.

768
00:41:10,880 --> 00:41:15,560
Speaker 1: According to a new survey, seventy of people admit they

769
00:41:15,640 --> 00:41:24,400
Speaker 1: always buy a cheap version of this product cheap deodorant,

770
00:41:25,640 --> 00:41:30,680
Speaker 1: no sunglasses. Yeah, I I was big on I mean,

771
00:41:30,800 --> 00:41:33,040
Speaker 1: I need prescriptions, so I can't do that anymore, But

772
00:41:33,200 --> 00:41:34,960
Speaker 1: I I was big. I used to love going to

773
00:41:35,040 --> 00:41:37,279
Speaker 1: like Venice Beach and the boardwalk there, and they had

774
00:41:37,280 --> 00:41:39,920
Speaker 1: those guys hawking those you get like three pairs of

775
00:41:39,960 --> 00:41:41,960
Speaker 1: sunglasses for ten bucks back in the day. Now I

776
00:41:41,960 --> 00:41:43,799
Speaker 1: think it's two for ten bucks. And will you ever

777
00:41:43,840 --> 00:41:48,399
Speaker 1: do that in Hawaii? Uh? Yeah, well not the last

778
00:41:48,440 --> 00:41:51,080
Speaker 1: couple of times because I've had my glasses, but because

779
00:41:51,120 --> 00:41:55,279
Speaker 1: Hawaii is always synonymous with what those ABC stores. Oh yeah, yeah,

780
00:41:55,280 --> 00:41:57,720
Speaker 1: those are cool. Yeah. They have all the little snacks

781
00:41:57,719 --> 00:41:59,600
Speaker 1: and they have the sunglasses and all the stuff you need,

782
00:41:59,640 --> 00:42:02,480
Speaker 1: sunte and lotion, all that stuff. Yeah. Be sure to

783
00:42:02,560 --> 00:42:05,319
Speaker 1: catch live editions of The Ben Meller Show weekdays at

784
00:42:05,320 --> 00:42:09,120
Speaker 1: two am Eastern eleven pm Pacific on Fox Sports Radio

785
00:42:09,280 --> 00:42:13,080
Speaker 1: and the I Heart Radio app. According to a new survey,

786
00:42:13,239 --> 00:42:17,440
Speaker 1: seventy of people that admit they always buy a did

787
00:42:17,440 --> 00:42:19,360
Speaker 1: that one bad job by me? All Right, it's the

788
00:42:19,520 --> 00:42:25,080
Speaker 1: fiftieth anniversary of this food packaging item. Food fiftieth anniversary

789
00:42:25,120 --> 00:42:32,520
Speaker 1: of this food package food packaging item. Um, uh, it's tarts,

790
00:42:32,840 --> 00:42:40,239
Speaker 1: No it's beverage related. Um fuck um he said that

791
00:42:40,280 --> 00:42:44,000
Speaker 1: effort a lot today. High see. No, it's the two

792
00:42:44,120 --> 00:42:49,800
Speaker 1: Leader bottle's fifty years old. Yeah, I'm more of a

793
00:42:50,440 --> 00:42:53,319
Speaker 1: can guy. The two Leader bottle always seems to go

794
00:42:53,360 --> 00:42:55,600
Speaker 1: too fast. I think it's just my head playing tricks

795
00:42:55,640 --> 00:42:57,440
Speaker 1: with me, because you feel you take a drink and

796
00:42:57,440 --> 00:43:02,040
Speaker 1: it's like half empty and yeah, alright. Of all Americans

797
00:43:02,080 --> 00:43:05,720
Speaker 1: say they have gone at least one week without doing

798
00:43:05,760 --> 00:43:14,359
Speaker 1: this masturbating. Uh, well, that might be true for you.

799
00:43:14,440 --> 00:43:17,680
Speaker 1: I don't think it is. The answer is actually paying

800
00:43:17,760 --> 00:43:21,880
Speaker 1: with cash. M I've gone a longer, way longer than

801
00:43:21,960 --> 00:43:26,000
Speaker 1: a week without paying with cash. Very rarely pay with

802
00:43:26,280 --> 00:43:28,000
Speaker 1: You pay with cash a lot, guess. I don't remember

803
00:43:28,000 --> 00:43:31,520
Speaker 1: the last time I've paid anything for although when I

804
00:43:31,560 --> 00:43:35,640
Speaker 1: go of certain places now with service, I'll pay in

805
00:43:35,719 --> 00:43:39,280
Speaker 1: cash if there's a tip involved, just because I feel

806
00:43:39,280 --> 00:43:42,600
Speaker 1: guilty about them, because they get taxed on the tip.

807
00:43:42,640 --> 00:43:44,960
Speaker 1: If you pay in your card, so we'll go get

808
00:43:44,960 --> 00:43:48,320
Speaker 1: my haircut or whatever, you pay bucks or the haircut

809
00:43:48,400 --> 00:43:50,880
Speaker 1: and you tip out on the card, they get taxed

810
00:43:50,920 --> 00:43:52,560
Speaker 1: on that. You know, five bucks that lead behind his

811
00:43:52,640 --> 00:43:56,200
Speaker 1: opposed to straight cash. They can pocket that so there

812
00:43:56,239 --> 00:43:58,760
Speaker 1: you go. All right. A new survey says nearly half

813
00:43:58,880 --> 00:44:01,880
Speaker 1: of Americans keep one of these inside their cars. What

814
00:44:02,040 --> 00:44:07,760
Speaker 1: is it? Uh? Flashlight? No, that is incorrect the answer

815
00:44:07,880 --> 00:44:13,040
Speaker 1: this is surprising in the digital age. A map? Oh,

816
00:44:13,120 --> 00:44:16,560
Speaker 1: a map? Can you imagine what people if you said

817
00:44:16,600 --> 00:44:19,040
Speaker 1: the word Thomas Guide to people? Do you know exactly?

818
00:44:19,120 --> 00:44:20,799
Speaker 1: Do you know how many people would probably pick that

819
00:44:20,840 --> 00:44:22,920
Speaker 1: and say that they know what that is? Well, it depends.

820
00:44:23,120 --> 00:44:24,920
Speaker 1: It's the point of d marcation. Right. How old you

821
00:44:24,960 --> 00:44:27,040
Speaker 1: are tells you if you know what a Thomas guy is.

822
00:44:27,080 --> 00:44:29,719
Speaker 1: I have fond memories when I was a kid and

823
00:44:29,760 --> 00:44:31,520
Speaker 1: we'd go on like a summer road trip to the

824
00:44:31,520 --> 00:44:35,080
Speaker 1: Grand Canyon, or we'd go to northern California somewhere, and

825
00:44:35,680 --> 00:44:38,400
Speaker 1: we'd go to the Auto Club because they offer free maps,

826
00:44:38,640 --> 00:44:40,560
Speaker 1: and it was all I love looking at the maps.

827
00:44:40,600 --> 00:44:43,200
Speaker 1: And I asked, like, sometimes I get maps from places

828
00:44:43,239 --> 00:44:45,359
Speaker 1: we weren't going because they were free because we're Auto

829
00:44:45,360 --> 00:44:47,480
Speaker 1: Club members, And I just like, look at the maps

830
00:44:47,480 --> 00:44:49,080
Speaker 1: of it. Wow, that'd be cool. I want to go

831
00:44:49,160 --> 00:44:50,839
Speaker 1: there some day and check it out and all that.

832
00:44:50,960 --> 00:44:55,600
Speaker 1: And now it's forget that. Just go on your phone.

833
00:44:55,600 --> 00:44:57,600
Speaker 1: You have an app and you're good. What would be

834
00:44:57,640 --> 00:45:02,839
Speaker 1: more challenging reading a Thomas Guide or a map Disneyland? Oh,

835
00:45:03,080 --> 00:45:05,479
Speaker 1: I know Disneyland like the back of my hand, guest guns,

836
00:45:05,520 --> 00:45:07,359
Speaker 1: So that Thomas Guide would be It would be more

837
00:45:07,440 --> 00:45:09,360
Speaker 1: now that Disneyland made up now where it has like

838
00:45:09,400 --> 00:45:14,680
Speaker 1: one land, where it's like virtue Land, um triggered Land.

839
00:45:13,320 --> 00:45:19,160
Speaker 1: A new survey found about half of all people lie

840
00:45:20,120 --> 00:45:23,480
Speaker 1: to their significant others about this. What is it how

841
00:45:23,480 --> 00:45:25,799
Speaker 1: many sex partners they've had in their past? Well, that's

842
00:45:25,800 --> 00:45:27,759
Speaker 1: an obvious one. That's not really what this is the

843
00:45:28,000 --> 00:45:32,240
Speaker 1: how much money they make? No, it's uh, they're snacking habits.

844
00:45:32,280 --> 00:45:36,759
Speaker 1: They downplay they're big fat fatties. They like to go

845
00:45:36,800 --> 00:45:40,920
Speaker 1: out and enjoy the gorging on food and and overdoing

846
00:45:40,960 --> 00:45:42,520
Speaker 1: it and all that. And have you ever had a

847
00:45:42,560 --> 00:45:45,319
Speaker 1: conversation with with your wife about what you like to

848
00:45:45,360 --> 00:45:47,840
Speaker 1: snack on? No, I don't give a funk with she.

849
00:45:47,840 --> 00:45:50,359
Speaker 1: She doesn't really care what I eat. Have never had

850
00:45:50,400 --> 00:45:55,760
Speaker 1: a conversation yeah at all. You know, she's occasionally should

851
00:45:55,760 --> 00:45:58,120
Speaker 1: go on a snack bender and I'm fine because I'm

852
00:45:58,160 --> 00:46:01,239
Speaker 1: the beneficiary area that I get to and it, you know,

853
00:46:01,280 --> 00:46:03,480
Speaker 1: because she's snacking She'll like, hey, have some of this,

854
00:46:03,640 --> 00:46:06,960
Speaker 1: and I'm like, okay, I'll have some of that. Why not? Alright, researchers,

855
00:46:07,560 --> 00:46:09,920
Speaker 1: this is interesting. This is kind of study this type thing.

856
00:46:10,000 --> 00:46:13,040
Speaker 1: Researchers say studying this animal could lead to cures for

857
00:46:13,160 --> 00:46:21,839
Speaker 1: jet lag, cancer and other illnesses. Owls, No reindeer, reindeer reindeer,

858
00:46:21,920 --> 00:46:26,800
Speaker 1: Yeah about that? No, wild, That is wild. I always

859
00:46:26,800 --> 00:46:30,040
Speaker 1: love these reports because they are very optimistic, you know,

860
00:46:30,120 --> 00:46:33,200
Speaker 1: like this is gonna help with the the cancer and

861
00:46:33,239 --> 00:46:35,480
Speaker 1: all this stuff. And then you never hear the payoff

862
00:46:35,560 --> 00:46:37,479
Speaker 1: on that. You know, they hear you hear that part,

863
00:46:38,600 --> 00:46:42,359
Speaker 1: but you don't hear the the payoff clickbait if you Yeah,

864
00:46:42,400 --> 00:46:46,040
Speaker 1: well exactly, and there's a lot of that. Unfortunately, let's

865
00:46:46,040 --> 00:46:47,960
Speaker 1: do one more here and then well I will move

866
00:46:48,000 --> 00:46:49,960
Speaker 1: the rest of study this to the next podcast. Yes,

867
00:46:49,960 --> 00:46:53,000
Speaker 1: because we're getting a little long in the tooth here. Alright. So, uh,

868
00:46:53,080 --> 00:46:57,360
Speaker 1: the longest one ever recorded was four dred and forty miles.

869
00:46:58,160 --> 00:47:08,719
Speaker 1: What is it? A long yeah? Um um um mum

870
00:47:11,120 --> 00:47:21,680
Speaker 1: mum forty one miles uh um. I don't know, all right,

871
00:47:21,880 --> 00:47:26,720
Speaker 1: The answer is a lightning bolts a lightning. The longest

872
00:47:26,760 --> 00:47:31,000
Speaker 1: one I see that did you see that Russians goalkeeper

873
00:47:31,160 --> 00:47:37,279
Speaker 1: like a week or two ago gets struck by lightning? Uh? No,

874
00:47:37,400 --> 00:47:38,879
Speaker 1: I did not. I don't think I saw that. Yeah,

875
00:47:38,880 --> 00:47:41,160
Speaker 1: there was a Russian goalkeeper. You can look it up

876
00:47:41,160 --> 00:47:43,440
Speaker 1: online if you google it. Whatever's listening. I think it

877
00:47:43,520 --> 00:47:46,000
Speaker 1: was the weekend of the fourth of July. He was

878
00:47:46,040 --> 00:47:48,200
Speaker 1: warming up and he was in the penalty box area

879
00:47:48,680 --> 00:47:51,759
Speaker 1: taking a kick into his own goal during warm ups

880
00:47:51,800 --> 00:47:55,799
Speaker 1: and got drilled by lightning. He survived, but he got

881
00:47:55,840 --> 00:47:58,880
Speaker 1: he got drilled, and my grandfather got hit by lightning.

882
00:47:59,600 --> 00:48:03,320
Speaker 1: He did he get hit directly or was it was indirectly?

883
00:48:03,320 --> 00:48:07,400
Speaker 1: But he I think it happened twice in Massachusetts. Yeah,

884
00:48:07,680 --> 00:48:10,600
Speaker 1: what are the odds of that? I know, I know.

885
00:48:11,360 --> 00:48:13,759
Speaker 1: I guess he took care of you know, he's long gone,

886
00:48:13,800 --> 00:48:14,960
Speaker 1: but I guess he took care of it for other

887
00:48:15,000 --> 00:48:16,879
Speaker 1: people because if he got hit twice, that means somebody

888
00:48:16,880 --> 00:48:23,359
Speaker 1: else didn't get right. All right, anyway, that's that put

889
00:48:23,360 --> 00:48:25,600
Speaker 1: a wrap on this. I see the red light actually

890
00:48:25,640 --> 00:48:28,200
Speaker 1: is a yellow light turning into a red light. Uh so,

891
00:48:28,280 --> 00:48:31,480
Speaker 1: thank you again. Check out cameo dot com. Ben Mallard

892
00:48:31,480 --> 00:48:34,560
Speaker 1: Gascon's on there. I'm on Twitter at Ben Mallard Instagram,

893
00:48:34,600 --> 00:48:38,759
Speaker 1: Ben Maller on Fox, the Facebook page Ben Maller Show.

894
00:48:38,800 --> 00:48:43,080
Speaker 1: And I cannot recommend enough. If you you haven't seen

895
00:48:43,080 --> 00:48:45,399
Speaker 1: it yet, give out the name of that again, it's

896
00:48:45,440 --> 00:48:49,640
Speaker 1: dooms doomsayers keep getting it wrong. Type that into YouTube.

897
00:48:50,120 --> 00:48:53,920
Speaker 1: John Stossel has a YouTube channel. It's only uh like

898
00:48:53,960 --> 00:48:55,920
Speaker 1: a six minute video, a little less than that, but

899
00:48:56,080 --> 00:48:58,360
Speaker 1: it we got what do we get guests on thirty

900
00:48:58,360 --> 00:49:03,440
Speaker 1: minutes of content out of that? It you're talking about

901
00:49:03,440 --> 00:49:07,360
Speaker 1: milking the cow. We milked the cow. And anyway you

902
00:49:07,440 --> 00:49:09,719
Speaker 1: follow you Gascott, how can people reach yes? Cameel at

903
00:49:09,760 --> 00:49:13,120
Speaker 1: David ja Gascon, Twitter at David Jay Gascon and then

904
00:49:13,280 --> 00:49:15,959
Speaker 1: Instagram is at Dave Gascon. All right, have a great

905
00:49:16,040 --> 00:49:18,360
Speaker 1: rest of your day. We'll have another podcast with a

906
00:49:18,400 --> 00:49:21,239
Speaker 1: mail bag and some other fun things, well maybe fun

907
00:49:21,760 --> 00:49:23,279
Speaker 1: coming up in the next podcast. Have a good day.