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

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

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Speaker 1: the old republic, a soul fashion harness. 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, to clearinghouse of hot takes, break

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Speaker 1: free for something special. The Fifth Hour with Ben Maller

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Speaker 1: starts right now. That it does. We are in the

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Speaker 1: air everywhere, but not on the place where normally at

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Speaker 1: We are only on the I Heart podcast network because

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Speaker 1: four hours or not enough. It is the Fifth Hour,

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Speaker 1: which likely will have very few sports references in this edition.

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Speaker 1: But it's me Ben Mallory. Hey, I hope you're doing well,

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Speaker 1: having a good weekend here as the weekend has begun.

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Speaker 1: If you hear the Fifth Hour, that means that the

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Speaker 1: weekend is underway for us, because it only debuts it

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Speaker 1: only at this point. It only goes out when we're

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Speaker 1: not doing the the Overnight Show. But uh and and

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Speaker 1: I have again not by popular demand, David Gascon, who

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Speaker 1: is writing Shotgun back in the Saddle, trying to sabotage

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Speaker 1: what's going to be a very appetizing I would say

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Speaker 1: even juicy edition of the Fifth Hour. So here's what

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Speaker 1: we have that the menu. So I like to give

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Speaker 1: the menu out so you know what's what to look

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Speaker 1: forward to, so you don't miss anything. But on today's

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Speaker 1: edition in the Fifth Hour with Ben Maller and that

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Speaker 1: other guy Gascon affectionately known as Gagon, we gave him

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Speaker 1: a new nickname last week. If you missed the podcast,

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Speaker 1: go back and download last week's podcast Gascon's new nickname

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Speaker 1: and homage to Penn and teller bullshit, that's his new nickname.

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Speaker 1: So it's exciting there we can't say that word on

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Speaker 1: this Thank god for that. I've been a big advocate

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Speaker 1: over the years of the word ship and we are

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Speaker 1: very happy that we get to include that word in

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Speaker 1: the podcast. I feel it's a good word. It's a

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Speaker 1: solid word. It's a word that we should all be

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Speaker 1: able to use as adults. Anyway, this is gonna be

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Speaker 1: like a juicy lucy burger. You ever had a juicy

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Speaker 1: lucy burger? With about it? In Vegas, here, in Los Angeles,

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Speaker 1: sometimes in New York. Of course, it's such a world traveler,

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Speaker 1: such a bragg braggert, as they say, right of course, alright,

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Speaker 1: So we have the weather Ranger. That's a new thing,

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Speaker 1: the weather Ranger food picks that's inspired by Marcel and Brooklyn.

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Speaker 1: We just mentioned a food dish. What else do we

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Speaker 1: have on the rundown? We have study this. That's another

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Speaker 1: thing that we're going to experiment with here on the

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Speaker 1: fifth This is pretty much you're you're you're all guinea

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Speaker 1: pigs and we're just trying stuff to see what works.

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Speaker 1: We're throwing spaghetti against the wall to see anything stakes.

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Speaker 1: And we have it's in the bag for the third

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Speaker 1: consecutive fifth hour with Ben Maller and Gagon, we have

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Speaker 1: it's in the bag. And also don't stick the sports

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Speaker 1: stories of the week. So that's what we got. What

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Speaker 1: we start with the weather and this inspired not by

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Speaker 1: the Mexican doppler which Roberto has, is this is the

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Speaker 1: Mega Mallard doppler, which we have on this show. But

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Speaker 1: the story here, I saw this the other day and

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Speaker 1: I feel like we need to spend more time on this.

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Speaker 1: So there was a study done that compiled all of

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Speaker 1: the weather caused fatalities the people that met their demise

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Speaker 1: because of in many ways an act of God right

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Speaker 1: because either stream weather and one condition or another some

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Speaker 1: massive storm or something like that. And what they did

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Speaker 1: is they put a chart together of the United States,

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Speaker 1: and it's not just the continental United States, also includes

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Speaker 1: Alaska and Hawaii. And I always curious if you're hypochondriact

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Speaker 1: type of person, you think you're gonna meet your your demise.

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Speaker 1: But I think most of us are like that. Like

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Speaker 1: if you see something on the news that there's some

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Speaker 1: pandemic going around, and I know I often think about crap,

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Speaker 1: I probably have it. I'm like, oh man, I'm I'm screwed.

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Speaker 1: I got that whatever that is, you know, even if

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Speaker 1: it's like one out of every seven million people, I'm like,

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Speaker 1: I must be the one. I must be the one.

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Speaker 1: And then you're going like web Md, which we often

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Speaker 1: kid around about on the Overnight show Guests Gone, But

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Speaker 1: you go on web Md and you type in your

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Speaker 1: symptoms and you are convinced you are you have stage

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Speaker 1: seven cancer and you're going to die within like a month, right?

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Speaker 1: Is that? Is that the first thing you do before

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Speaker 1: you go to bed or when you wake up in

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Speaker 1: the morning when you're not feeling well. Uh well, I

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Speaker 1: usually I've been feeling pretty good since I did this

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Speaker 1: I changed my diet and I haven't had any problem.

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Speaker 1: But but if I do get sick, I'm like, okay,

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Speaker 1: this is every time I get a cold. I'm like,

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Speaker 1: it's never gonna go away. I'm gonna have a cold

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Speaker 1: forever and ever. This is gonna be the rest of

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Speaker 1: my life. I'm gonna have laryngitis and as a nightmare.

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Speaker 1: But amazingly, so far, everything I've had is gone away,

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Speaker 1: so that's positive. But anyway, alright, so what we're gonna

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Speaker 1: do here for this little exercise, guest, you can keep

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Speaker 1: track of this, all right? You will pick a state.

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Speaker 1: You've got fifty options here. Now, don't pick main because

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Speaker 1: I already used Maine on the radio show, but just

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Speaker 1: picking a random state, and then we'll see if you

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Speaker 1: can guess what the weather related cause of death and

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Speaker 1: the most frequent cause of people dying in that particular state.

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Speaker 1: All right, fair enough? All right? So where where do

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Speaker 1: you want to start here? And I know you have

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Speaker 1: a a fiction affliction with Montana? Do you want to

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Speaker 1: start with Montana? Affection for Montana? Yeah, I mean chef's choice.

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Speaker 1: Let's do Montana first, then chef's choice. Alright, very good,

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Speaker 1: I'm gonna lead you to water, so hopefully you will

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Speaker 1: drink here. Now, what do you think the leading cause

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Speaker 1: of that? There's three according to this map that I

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Speaker 1: have here, there's three things that have led to the

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Speaker 1: demise most often weather related demise of people in the

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Speaker 1: last What do you think, I'm gonna say tornadoes? No,

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Speaker 1: that is not on the list, alright, right, anything else?

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Speaker 1: You got any other I'm gonna say Montana, I'll say

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Speaker 1: something easy. Rain kind of it's it's lightning one of them.

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Speaker 1: Most of the state, you are most likely to die

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Speaker 1: with an avalanche. That there could be an avalanche on you,

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Speaker 1: and that's what you're gonna die. And just extreme cold

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Speaker 1: in the northern part of Montana. Uh. And that's that's

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Speaker 1: actually true of pretty much the entire Upper Midwest. Is

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Speaker 1: like our friends in Minnesota, we a lot of guys

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Speaker 1: that love the show The Mallet of Militia Men in Minnesota.

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Speaker 1: But like you live in Minnesota, You've got It's weird

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Speaker 1: because you've got most of the state the leading cause

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Speaker 1: of weather related death is extreme cold. You also at

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Speaker 1: the very top, you've got this this area where you

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Speaker 1: could you know, the flood thing and then the very bottom,

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Speaker 1: which is odd to me. You've got extreme heat, how hot,

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Speaker 1: and only it gets that hot, you know what I mean.

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Speaker 1: I don't know. I was, And that's that's fascinating because

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Speaker 1: in maybe we're gonna look at different states. But I mean,

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Speaker 1: don't forget the Super Bowls in Minnesota a couple of

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Speaker 1: years ago, and fortunate for our Fox crew, everyone was

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Speaker 1: inside because the entire week it was reason temperatures were

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Speaker 1: we're close to single digits. I think the entire time

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Speaker 1: they were out there before opening kickoff. So well, they

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Speaker 1: got all those catwalks right in Minnesota. Like, I've only

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Speaker 1: been to the airport in Minnesota. I guess spend some

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Speaker 1: time there, like to hang out, but there's only like

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Speaker 1: two months a year you can go where the weather

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Speaker 1: is beautiful, and the rest of the time it's like

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Speaker 1: what the hell is going on there? Yeah, you can

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Speaker 1: just hang out in the world's biggest mall, I guess

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Speaker 1: for the time being. Right, Well, they and they've got

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Speaker 1: all those tunnels, right, That's why my guys in Minnesota says, well,

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Speaker 1: during the winter, we just don't go outside. I remember

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Speaker 1: a story the late great Sean Rooks. You probably do.

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Speaker 1: You remember good guy he met his untimely demise, very

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Speaker 1: sad a few years ago. But Sean looks I was

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Speaker 1: sitting with him. Uh and the Prince of darkness Lee Klein,

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Speaker 1: who you you know, and that we should get him

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Speaker 1: on this podcast. But you don't want any guests, no, no, no,

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Speaker 1: guard everything. We had a conversation with some tacos with

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Speaker 1: Lee and you cut off the conversation with Lee because

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Speaker 1: he was spinning all the way down the rabbits hole

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Speaker 1: and you don't want me to go down there with them. Well,

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Speaker 1: because Lee, when you and I love and there's a

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Speaker 1: lot of people that follow me that remember Lee as

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Speaker 1: a talk show host. He worked at Fox briefly and

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Speaker 1: but and the Idea of Sports show with him long

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Speaker 1: and twenty years ago. But he's mostly a political like KFI,

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Speaker 1: which is the big news station l A. Worked I

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Speaker 1: think KBC also, which is a talk station in l A.

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Speaker 1: And so, but he you go to dinner with him,

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Speaker 1: and he goes into talk show political talk show mode

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Speaker 1: where he's like breaking down the government and he hates

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Speaker 1: all politicians, Republican, Democrat, pretty much all of them. So

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Speaker 1: he just unloads on on everyone, uh, the entire time

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Speaker 1: and it's uh, it's unnerving and never ending, and but

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Speaker 1: I love him anyway. He's entertaining, but he's just over

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Speaker 1: the top. But he was giving me some great stories

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Speaker 1: and we were having a serious conversation eating some tacos,

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Speaker 1: and then you butt in and you tell me the

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Speaker 1: story that you had with him where you had him

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Speaker 1: doing opening monologue to dead air. Well, well, yeah, I'd

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Speaker 1: like to have him on too. Reminisce about that. But

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Speaker 1: one of the great stories. And radio so we were

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Speaker 1: and we did we did this show. I was back

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Speaker 1: in the local radio days. It was like, uh, the

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Speaker 1: old West. I mean it was it was ridiculous, man,

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Speaker 1: with the kind of stuff. It was animal House and

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Speaker 1: and all that back in those days. And so we

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Speaker 1: we remember the station was kind of start up station

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Speaker 1: and we were all doing remote. We're doing extra shows

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Speaker 1: on the weekend night, a show during the week at night,

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Speaker 1: and then we had a Saturday morning show because the

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Speaker 1: program director determined dudes get up early on Saturday because

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Speaker 1: they have to do their their work around the house

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Speaker 1: and run errands and all that crep. So they're people

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Speaker 1: listening on Saturday. It's like it's a morning drive, you know.

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Speaker 1: It's built a lot of people, big audience on a

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Speaker 1: Saturday morning. So whatever, right, we'll do a Saturday show.

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Speaker 1: So we did a lot of remotes. We go to

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Speaker 1: these different restaurants and stores and whatnot. We you do

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Speaker 1: in local radio, at least in those days, and they

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Speaker 1: don't think gonna do it that much anymore. So we

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Speaker 1: showed up. Uh we we uh we would go on

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Speaker 1: as your us. But but Lee had a show after ours,

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Speaker 1: and sometimes we would go to different places. This particular Saturday, Uh,

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Speaker 1: Lee somehow ended up at a remote we were not at.

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Speaker 1: So we were on the air, we got off the air,

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Speaker 1: and they could not the the engineer had trouble connecting

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Speaker 1: to Lee on the remote broadcast site. And so for

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Speaker 1: some reason, the person on site, the engineer was apparently

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Speaker 1: afraid to tell Lee the issue, because you know, Lee

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Speaker 1: has a bit of a temper, and so so they

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Speaker 1: just told him to start the show like it was

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Speaker 1: a regular show, and then uh, they finally connected by

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Speaker 1: the end of the very end of the monologue he did.

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Speaker 1: And then I I was standing right behind the board

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Speaker 1: op and I I jumped on the microphone. I said, Hey, Lee,

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Speaker 1: that was a wonderful monologue. Nobody heard it, and he

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Speaker 1: got so upset. He was so so, so vicious. Yeah,

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Speaker 1: there's a bunch of lead Cline stories. I gotta get

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Speaker 1: back to Sean ro because Sean looks my Minnesota story

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Speaker 1: gas Gun so uh. He's telling me he played with

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Speaker 1: the Timberwolves back in the day and he didn't realize

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Speaker 1: how cold it got Minnesota. He said he was running errands,

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Speaker 1: like on a day off for the Timberwolves, and he

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Speaker 1: went and got a cup of coffee and then he

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Speaker 1: went to the bank. He like, he said, he uh,

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Speaker 1: he had to go get some some money or whatever

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Speaker 1: the bank, just to do his banking. So he parked

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Speaker 1: the car in front of the bank. It's like one

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Speaker 1: of those five minute things, you know where. I was

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Speaker 1: gonna park it here, and he forgot to close his

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Speaker 1: door right all the way came back and he had

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Speaker 1: from a piping hot coffee, he had an ice coffee

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Speaker 1: by the time he got back in like five minutes.

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Speaker 1: It was that cool old man. That's how insane is that?

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Speaker 1: That that is that is brutal. I remember my first

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Speaker 1: ever trip to Chicago a few years ago. I actually

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Speaker 1: went in January, and I think it was during the

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Speaker 1: a f C Division round matchup where Tennessee lost at

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Speaker 1: New England. And I had gone to a Blackhawks game

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Speaker 1: at the United Center that night and I had gone

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Speaker 1: outside for I kid you not, Ben maybe seven to

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Speaker 1: eight minutes at the post and my ears were like bricks.

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Speaker 1: It was so painful. And I had no ear mufs.

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Speaker 1: I had gloves on but a jacket. But you know,

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Speaker 1: being from Los Angeles, I didn't. I didn't. I don't

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Speaker 1: have a lot of winter attire, right, so going out there,

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Speaker 1: I've done the same I'm as dumb as you. I've

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Speaker 1: done the same thing I was in when I when

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Speaker 1: I did that TV thing for like a year, they

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Speaker 1: flew me back to Connecticut every month, and I would

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Speaker 1: you know, even you know, in the winter, you know,

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Speaker 1: and so I we would go out sometimes after the

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Speaker 1: show or whatever. We'd go There was Bobby vs. Bobby.

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Speaker 1: Valentine's got a restaurant in Stanford, Connecticut was my spot

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Speaker 1: because it was close to the to the hotel. It

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Speaker 1: was like, uh, you know, four blocks from the hotel.

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Speaker 1: I was standing out whatever. So I go there and

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Speaker 1: in the winter, I remember it was it was really

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Speaker 1: like ridiculously cold, and Stanford, Connectic it gets colder, but

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Speaker 1: even you get that cold, it was really cold and

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Speaker 1: so but for some reason, I was like, you know,

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Speaker 1: I didn't want to take a cab or an uber

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Speaker 1: and I don't even if they had uber back then,

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Speaker 1: but I didn't want to take a cab, and so

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Speaker 1: I was like, I just walk, you know, it's no

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Speaker 1: big deal. And by the time I got back, I

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Speaker 1: thought I had frost bite. By the time I got

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Speaker 1: back to the hotel, I was like, what am I doing?

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Speaker 1: The whole I mean, it's just yeah, I think it's

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Speaker 1: partially because you're not prepared for It's like you put

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Speaker 1: somebody in the really extreme heat that's not used to it.

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Speaker 1: You're you know what I mean, he's part of it.

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Speaker 1: Were at least wearing pants because I know you're not

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Speaker 1: a pants kind of guy. You're usually bath robe. You know,

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Speaker 1: I live the bohemian lifestyle. Yeah, you do. Here at

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Speaker 1: I blame my wife for that. She's responsible for the

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Speaker 1: influence of the bohemian lifestyle. Nothing wrong with that. The

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Speaker 1: Voyer experience with the with the Mallards. Right, alright, so

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Speaker 1: another state, give me how about this, let's do what

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Speaker 1: about Hawaii? Hawaii. Alright, No, Hawaii is a small state.

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Speaker 1: There's only one thing, there's not multiple things. What do

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Speaker 1: you think would be the weather related cause of people's

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Speaker 1: demise in Hawaii? Something that is perfectly avoidable. I'm gonna say, um,

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Speaker 1: weather related? What all these are? Weather related? I mean

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Speaker 1: that's why we're doing. Yes, whether you said weather related

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Speaker 1: but avoidable, yes, yes, it's this is I'll just give

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Speaker 1: you the answer. They they say that the leading cause

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Speaker 1: of fatalities in Hawaii, it's weather related. No extreme surf.

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Speaker 1: You know when they have the storms come through and

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Speaker 1: those idiots are out on their surfboards and they get

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Speaker 1: they get smashed by a wave and they die. That's

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Speaker 1: leading cause of weather related I was in Hawaii one

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Speaker 1: time with my wife a couple of years ago, and

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Speaker 1: they had We were to kmart, which tells you how

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Speaker 1: good our trip to Hawaii was. In the area, well,

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Speaker 1: there was a costco, but the kmart was going out

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Speaker 1: of business, so we had to get the rug mother

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Speaker 1: and uh so we went there and watch your language.

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Speaker 1: I'm gonna tell your your parents about that day. Anyway. So,

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Speaker 1: uh so, as in in the kmart and there was

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Speaker 1: a tropical storm that had come through and the power

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Speaker 1: turned off in the kmart. We were sitting you on

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Speaker 1: the pitch black in this big warehouse store thing. And

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Speaker 1: then uh, and then I had to go and get

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Speaker 1: the car. And it was so I got so wet

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Speaker 1: and so drenched from that like a monsoon or a

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Speaker 1: typhoon or whatever. It was insane. It was like the

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Speaker 1: worst that in in Buffalo were the two worst weather

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Speaker 1: like related things that I've been in. When I was

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Speaker 1: driving out of Buffalo down to back to New York

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Speaker 1: City and the weather it was, I had to stop

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Speaker 1: on the New York Expressway because I could not see

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Speaker 1: in front or behind me, and I was worried I

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Speaker 1: was gonna hit a car, but everyone was stopped. It

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Speaker 1: was I've never seen that before. Now since from the

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Speaker 1: land of earthquakes, you bring this up, are you prepared

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Speaker 1: for a natural disaster here in California? Do you have

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Speaker 1: like an emergency kit and some some supplies and good

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Speaker 1: So the way I'll answer that, first of all, I uh,

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Speaker 1: I am not. My wife is though, so I feel

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Speaker 1: like I'm the beneficiary of that that she is because

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Speaker 1: she works at the police station and all that, so

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Speaker 1: she's got all the you know, these ey tell her,

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Speaker 1: you know, they tell you what you're supposed to have

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Speaker 1: and when you light flashlights and food rations and all.

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Speaker 1: So she's got all that stuff. But but no, I mean,

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Speaker 1: I don't think anyone's actually prepared for if it's a

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Speaker 1: massive earthquake, it's like, you know, ten point seven or

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Speaker 1: something like that on the Richter scale. I don't think

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Speaker 1: it really matters what you have. But in my entire life,

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Speaker 1: it's two things have been true my entire life. People

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Speaker 1: have said that soccer is gonna become the most popular

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Speaker 1: sport in America. That's never happened. And they've also said

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Speaker 1: that the big ones about to hit California, it's gonna

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Speaker 1: fall off into the Pacific Ocean. And I know most people, uh,

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Speaker 1: let's see east of the Mississippi and maybe even some

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Speaker 1: west wish it would happen. Hasn't happened yet, No, not yet,

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Speaker 1: not yet. All right, it's another state. Then let's go

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Speaker 1: to Uh, what about New York, New York York. Now

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Speaker 1: New York's like two states in one. All right. So,

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Speaker 1: by the way, if you're just late to the podcast,

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Speaker 1: that no one actually gets late to the podcast at

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Speaker 1: this point, if you fast forward, so it's the weather Ranger.

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Speaker 1: It's a new second is a study out that says

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Speaker 1: leading cause of weather fatalities from eighteen all Right, New York.

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Speaker 1: You've got southern New York and then the rest of

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Speaker 1: the states. So in in like Manhattan, the leading cause

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Speaker 1: of death is in the other boroughs of New York

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Speaker 1: City is heat. Extreme heat. You know there's nasty August

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Speaker 1: September days where it just gets brutal. Yeah, I mean,

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Speaker 1: it's just smells like death in New York, especially when

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Speaker 1: you're walking down the streets of Manhattan and Brooklyn, because yeah,

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Speaker 1: I mean, temperatures are up. The humanities what's Well, the

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Speaker 1: reason it smells like death is because they have to

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Speaker 1: put their trash out every day in New York and

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Speaker 1: the trash just cooks in in the heat. Well, they

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Speaker 1: actually do that in the middle of the night. I

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Speaker 1: remember earlier this year when I made a trip to

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Speaker 1: New York City. I was walking home from a night

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Speaker 1: on the town, and I think I got back at

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Speaker 1: three or four o'clock in the morning, and I was

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Speaker 1: in Lower Manhattan and before that's an unholy hour, guest,

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Speaker 1: but that happens at that time in the morning. Who cares,

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Speaker 1: it's New York. But to get into my hotel Ben,

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Speaker 1: Honest to god, I had to go around bags of trash. No, no,

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Speaker 1: I know, that's what I listen. I'm a night guy, obviously,

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Speaker 1: and I when my brother lives in Manhattan and we

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Speaker 1: go back there and I'm out problems In New York.

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Speaker 1: Everyone says everything is open all night, the city that

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Speaker 1: never sleeps. That's bullshit from was it Sinatra? That's something

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Speaker 1: that's his bullshit? All right? No, it trusts me most

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Speaker 1: of Manhattan at night. And I've I've lived the life

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Speaker 1: where I was like, oh, it's three in the morning,

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Speaker 1: let me go out and have a nice meal. And

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Speaker 1: like pretty much every restaurant is closed. You can get

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Speaker 1: the corner Delhi subway in that subway, but the mom

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Speaker 1: and pop sandwich shops you can get like a turkey

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Speaker 1: sandwich or something like that. But there's not an endless

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Speaker 1: amount of food options, even in a place like New York.

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Speaker 1: I remember me and my wife went on we were

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Speaker 1: in Times Square and we were walking around like to

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Speaker 1: one third in the morning, and we there's like one

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Speaker 1: one or two places that was it that was opened anyway,

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Speaker 1: so lower men like New York City heat, the rest

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Speaker 1: of New York the leading cause of death weather related,

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Speaker 1: got flash floods, which is really the center trull part.

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Speaker 1: And then in in western and very upper New York,

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Speaker 1: you've got like where albuddy, isn't that, You've got wind

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Speaker 1: that wind related demises. So it's three different or four

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Speaker 1: different things, not three different things. Yeah, I mean, that's

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Speaker 1: that was my first thought with Hawaii because you mentioned

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Speaker 1: the surf for the high surf tides, but also the

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Speaker 1: volcano ash volcanoes erupting and if they if they do,

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Speaker 1: you're blowing the the lava any kind of small sparks

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Speaker 1: and flow that goes onto the houses and forests and whatnot.

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Speaker 1: And that was my my first stop of wind. Yeah,

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Speaker 1: that's uh, that's right up there. What about give me

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Speaker 1: like Alabama? Alabama? All right, let's go to Alabama. So

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Speaker 1: the leading cause of people's demise in Alabama. There's two things.

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Speaker 1: Actually there's there's a few more than two things. You

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Speaker 1: gotta go down to the to the Gulf. Football, but

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Speaker 1: you've got yeah, that's right, Auburn football. You've got the

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Speaker 1: very top extreme heat. People dying because of the oppressive

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Speaker 1: heat of the South, and you've got torn a does

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Speaker 1: in the most of Alabama. You're you're leading cause of

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Speaker 1: dying by weather is a tornado. Do you have any

399
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Speaker 1: friends that are in that industry of chasing down tornadoes?

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Speaker 1: Do not? I've seen those shows. I've I've seen the

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Speaker 1: videos on YouTube and stuff, but I'm not would you do?

402
00:20:16,680 --> 00:20:18,800
Speaker 1: You should do that? How much would you have to

403
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Speaker 1: get paid to do that? They put you in like

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Speaker 1: an armored car you drive around chasing the tornado. I

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Speaker 1: got a buddy that does it, and he's actually from Chicago.

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Speaker 1: He's making well over six figures. But so, yeah, we

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Speaker 1: should do that. Guests, why not go move to Kansas

408
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Speaker 1: or something like that, or moved to Arkansas yourself? Well,

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Speaker 1: I'd rather stay here and and you know, slave away

410
00:20:37,840 --> 00:20:45,679
Speaker 1: under a high microphone to cater to you really stealing material. Well, listen,

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Speaker 1: if it's not a radio show, stupid podcast, if it's

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Speaker 1: any if it's any kind of consolation for you. You

413
00:20:52,320 --> 00:20:55,359
Speaker 1: typically have a track record of having producers that are

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Speaker 1: somehow oft um. Well that was true up until Cooper Loop.

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Speaker 1: Up It's Cooper Loop. I. I went through producers pretty

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Speaker 1: much twice a year, there would be a different producer,

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Speaker 1: but it's been remarkable. Cooper Loop has stuck around and

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Speaker 1: he appears to be there for the long haul. That's

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Speaker 1: not had the change. We've had the same crew. I

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Speaker 1: know Danny got out of there, but we had Roberto

421
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Speaker 1: has been there for a while now, and so we've

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Speaker 1: had the same same group overnight consistency, which is odd

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Speaker 1: to me. I'm not used to consistency. I don't. I don't.

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Speaker 1: I don't do well with consistency. We'll get rid of

425
00:21:28,320 --> 00:21:30,440
Speaker 1: you on this show at some point, well we might.

426
00:21:30,480 --> 00:21:32,320
Speaker 1: I mean, you did accuse me of being the future

427
00:21:32,359 --> 00:21:35,960
Speaker 1: Andrew Luck for this podcast, so I did say that.

428
00:21:36,040 --> 00:21:38,080
Speaker 1: I I believe you will quit. I I believe you

429
00:21:38,119 --> 00:21:40,399
Speaker 1: will get so frustrated. You will be so upset that

430
00:21:40,480 --> 00:21:42,600
Speaker 1: they they're not gonna pay you or something like that,

431
00:21:42,680 --> 00:21:44,720
Speaker 1: and you'll just be like, I'm out. See I can't

432
00:21:44,760 --> 00:21:46,680
Speaker 1: get frustrated. Part of the reason for that is I

433
00:21:46,920 --> 00:21:50,000
Speaker 1: feel like this podcast with us is like Rocky four,

434
00:21:50,600 --> 00:21:53,600
Speaker 1: or I go into Russia and there's everybody on your

435
00:21:53,640 --> 00:21:56,680
Speaker 1: militia that really hates my guts or can't stand me,

436
00:21:57,080 --> 00:21:59,200
Speaker 1: and all of a sudden, slowly but surely I start

437
00:21:59,240 --> 00:22:01,920
Speaker 1: winning them over. I went over the crowd, and yeah,

438
00:22:01,960 --> 00:22:06,439
Speaker 1: that's not happening like you and no, no, Then you

439
00:22:06,520 --> 00:22:10,119
Speaker 1: picked there's only one, the Rocky two, right, that was

440
00:22:10,200 --> 00:22:13,720
Speaker 1: the that was the movie Rocky Too. They didn't keep

441
00:22:13,880 --> 00:22:17,080
Speaker 1: making good Rocky movies. They just kept making Rocky movies.

442
00:22:17,119 --> 00:22:20,159
Speaker 1: They weren't good. But you picked Rocky four as a

443
00:22:20,480 --> 00:22:22,959
Speaker 1: Rocky two was the top, that was superior to all

444
00:22:23,000 --> 00:22:25,920
Speaker 1: the other Rocky movies. Well, no, Rocky four is probably

445
00:22:25,960 --> 00:22:29,080
Speaker 1: the best. Then Rocky Too, then Rocky three, then the

446
00:22:29,119 --> 00:22:33,160
Speaker 1: original Rocky and then after that it doesn't exist. I mean,

447
00:22:33,160 --> 00:22:36,760
Speaker 1: you can't incorrect. You can't. You cannot have Rocky four

448
00:22:36,840 --> 00:22:40,400
Speaker 1: is not being your number one, goes into a hostile environment,

449
00:22:40,880 --> 00:22:45,280
Speaker 1: wins over, and he ends the Cold War. Yeah it

450
00:22:45,320 --> 00:22:47,159
Speaker 1: was a movie. He didn't end the Cold for I

451
00:22:47,520 --> 00:22:51,720
Speaker 1: understand that. Yeah, thanks for yeah, watching that, it's good. Yeah, alright,

452
00:22:51,960 --> 00:22:54,480
Speaker 1: another state? Can we do? Can we move on? We

453
00:22:54,640 --> 00:22:56,720
Speaker 1: do two more states and then we got more We

454
00:22:56,760 --> 00:22:58,439
Speaker 1: get to do the whole thing on a damn a.

455
00:22:58,720 --> 00:23:00,600
Speaker 1: It was a it was a bit. I mean, we're

456
00:23:00,600 --> 00:23:03,800
Speaker 1: doing the weather Ranger and we're playing such grab bass here.

457
00:23:03,880 --> 00:23:05,840
Speaker 1: We don't even get through the damn states. We'll have

458
00:23:05,920 --> 00:23:08,119
Speaker 1: to bring it back next week. Get me Vermont and

459
00:23:08,240 --> 00:23:11,240
Speaker 1: Rhode Island a combination right there? All right? Well, yeah,

460
00:23:11,240 --> 00:23:14,680
Speaker 1: you picked very small northeast. Why would you pick those states? Don't?

461
00:23:14,680 --> 00:23:17,160
Speaker 1: Why not? Because people don't talk about Rhode Island and Vermont.

462
00:23:17,240 --> 00:23:20,320
Speaker 1: No one cares about those two states. Well Vermont, yeah,

463
00:23:20,640 --> 00:23:25,320
Speaker 1: certain politicians. That gets uh the leading cause of your demise,

464
00:23:25,359 --> 00:23:31,240
Speaker 1: and Vermont in the burn is wind wind related. That's

465
00:23:31,280 --> 00:23:35,840
Speaker 1: all over like Maine, Vermont, New Hampshire and also Rhode

466
00:23:35,880 --> 00:23:39,040
Speaker 1: Island as well. So that that whole win. And there's

467
00:23:39,040 --> 00:23:41,320
Speaker 1: a little part where the flash floods will do you

468
00:23:41,400 --> 00:23:44,840
Speaker 1: in You ever been in a flash flood? No? Never,

469
00:23:45,040 --> 00:23:48,640
Speaker 1: And I mean we've been close here in southern California

470
00:23:48,760 --> 00:23:50,840
Speaker 1: on a couple of different occasions. I lived in San

471
00:23:50,880 --> 00:23:53,359
Speaker 1: Diego and we had them pretty bad in the middle

472
00:23:53,520 --> 00:23:56,200
Speaker 1: mid two thousands, like two thousand five, two thousand six.

473
00:23:57,080 --> 00:23:59,199
Speaker 1: But when you're stuck in the five freeway, you know

474
00:23:59,240 --> 00:24:01,360
Speaker 1: this because you were down there for quite a bit.

475
00:24:01,800 --> 00:24:04,399
Speaker 1: But when you're stuck down the five Freeway, you're s

476
00:24:04,480 --> 00:24:07,280
Speaker 1: o l. You can't move anywhere because there's no other

477
00:24:07,320 --> 00:24:09,240
Speaker 1: freeways or roads you can get off of once you're

478
00:24:09,320 --> 00:24:12,960
Speaker 1: near Camp Peddleton. So there was flashford warnings, the flood

479
00:24:12,960 --> 00:24:15,520
Speaker 1: warnings that came about the middle of the night. I mean,

480
00:24:15,560 --> 00:24:17,120
Speaker 1: you're screwed. So you have to set that thing out

481
00:24:17,119 --> 00:24:20,680
Speaker 1: and waited out. So probably the closest I've ever come. Yeah,

482
00:24:21,119 --> 00:24:24,280
Speaker 1: San Diego. The traffic there is like with the eight

483
00:24:24,720 --> 00:24:26,920
Speaker 1: and the oh that was a nightmare two back in

484
00:24:27,000 --> 00:24:30,080
Speaker 1: the eight, the fifteen, and the five. Yeah, that's pretty

485
00:24:30,160 --> 00:24:33,000
Speaker 1: much it. That's the big the big arteries there are.

486
00:24:33,440 --> 00:24:35,440
Speaker 1: Are you done with this? The weather things? That's fine.

487
00:24:35,800 --> 00:24:38,320
Speaker 1: You seem annoyed with Oh no, no, I mean just

488
00:24:38,440 --> 00:24:41,359
Speaker 1: you picked your your pick of states was odd to me,

489
00:24:41,880 --> 00:24:44,520
Speaker 1: like you should try to appeal to where the listeners.

490
00:24:44,600 --> 00:24:47,239
Speaker 1: We have a lot of listeners in Florida mentioned Florida. Well,

491
00:24:47,240 --> 00:24:49,040
Speaker 1: well we know what what Florida is. It's going to

492
00:24:49,119 --> 00:24:53,199
Speaker 1: be hurricanes. No, not on the list. Very by Miami,

493
00:24:53,440 --> 00:24:56,120
Speaker 1: like the southern part, like Key West Miami. That part

494
00:24:56,200 --> 00:24:59,720
Speaker 1: they have hurricane. But the rest of the state. No,

495
00:25:00,280 --> 00:25:07,640
Speaker 1: you got lightning and rip current. Rip current. Alright, imagine

496
00:25:07,680 --> 00:25:09,359
Speaker 1: going down because you're out in the water and you

497
00:25:09,400 --> 00:25:13,400
Speaker 1: get sucked out to to see and you meet your demise.

498
00:25:13,800 --> 00:25:17,960
Speaker 1: Where are the majority of your listeners live Texas? Yes, yeah,

499
00:25:18,000 --> 00:25:21,119
Speaker 1: there's a lot of people in Texas. Flash flood, a

500
00:25:21,160 --> 00:25:24,240
Speaker 1: lot of flash flood, a lot of heat. Missouri. Uh,

501
00:25:24,280 --> 00:25:28,840
Speaker 1: you got cold winter weather up top Missouri, also flash flood,

502
00:25:28,920 --> 00:25:33,840
Speaker 1: heat and just flooding in general. Washington, Washington State, you

503
00:25:33,920 --> 00:25:38,600
Speaker 1: got avalanche and then flood and wind in the southern part,

504
00:25:38,640 --> 00:25:41,280
Speaker 1: like right on the Oregon border. There. So all right,

505
00:25:41,359 --> 00:25:47,200
Speaker 1: let's Alaska. Give me Alaska. Alright, Alaska. There's there's two things. Now,

506
00:25:47,240 --> 00:25:49,479
Speaker 1: this is the only state that has this as a

507
00:25:49,480 --> 00:25:52,480
Speaker 1: weather related cause of death. Is one thing, you've got

508
00:25:52,520 --> 00:25:55,479
Speaker 1: most of the state's avalanche, you know, out looking at

509
00:25:55,520 --> 00:25:57,440
Speaker 1: a polar bear and you're getting you know, knocked on

510
00:25:57,520 --> 00:26:00,080
Speaker 1: your head. Uh. And then the other one is a

511
00:26:00,160 --> 00:26:02,320
Speaker 1: brief flows. What is that? I don't even know what

512
00:26:02,359 --> 00:26:05,719
Speaker 1: that is? What is that? I don't know? They classified

513
00:26:05,760 --> 00:26:09,720
Speaker 1: as a debris flow. Do you have any listeners in Alaska? Yeah,

514
00:26:09,760 --> 00:26:12,359
Speaker 1: we've had. We're on the radio and Anchorage and uh

515
00:26:12,400 --> 00:26:14,400
Speaker 1: and some other places. So I've gotten calls from people

516
00:26:14,400 --> 00:26:18,199
Speaker 1: in Alaska. And it's good because it's earlier in Alaska.

517
00:26:18,240 --> 00:26:20,399
Speaker 1: I've gotten more calls from Hawaii over the years. In Alaska.

518
00:26:20,440 --> 00:26:23,119
Speaker 1: But yeah, there's like my friend Jay who we should

519
00:26:23,119 --> 00:26:26,320
Speaker 1: get on the Whizz of Odds gambling college football gambling guy.

520
00:26:26,840 --> 00:26:28,960
Speaker 1: And he's in He's in Alaska like all the time,

521
00:26:29,000 --> 00:26:31,359
Speaker 1: all right, he's he he loves that I did a

522
00:26:31,440 --> 00:26:33,359
Speaker 1: rod race. In fact, he's there right now, and he

523
00:26:33,440 --> 00:26:35,760
Speaker 1: sends me photos like he's out on the front and

524
00:26:35,760 --> 00:26:38,119
Speaker 1: he'll send me these these photos of everyone freezing their

525
00:26:38,160 --> 00:26:40,800
Speaker 1: ass off in the I did a rod race with

526
00:26:40,800 --> 00:26:43,320
Speaker 1: all the dogs. All right, here's the fifth hour with

527
00:26:43,400 --> 00:26:47,760
Speaker 1: Ben Maller and David Gas gone unfortunately, but time now

528
00:26:47,800 --> 00:26:49,680
Speaker 1: for we're moving on. Let's go to food picks. You

529
00:26:49,720 --> 00:26:51,320
Speaker 1: want food picks. Who doesn't like food? But this is

530
00:26:51,359 --> 00:26:55,640
Speaker 1: inspired by Marcel Now. Restaurants are always trying to get

531
00:26:55,680 --> 00:26:57,560
Speaker 1: you to come into the Star. Every business wants you

532
00:26:57,600 --> 00:26:59,760
Speaker 1: to come to the store, trying new items to get

533
00:26:59,760 --> 00:27:01,800
Speaker 1: our fat asses to go in there and open up

534
00:27:01,800 --> 00:27:03,480
Speaker 1: our wallet. So we're gonna see if any of these

535
00:27:03,520 --> 00:27:05,560
Speaker 1: items are worthy or I got a bunch of I

536
00:27:05,640 --> 00:27:08,280
Speaker 1: won't go through all of them because it will take forever. Uh,

537
00:27:08,320 --> 00:27:11,000
Speaker 1: these are new items, some of them will be permanent.

538
00:27:11,080 --> 00:27:14,560
Speaker 1: Most of them were just test items or limited time

539
00:27:14,640 --> 00:27:18,080
Speaker 1: options at restaurants. These are national chains they picked out

540
00:27:18,440 --> 00:27:20,960
Speaker 1: because we've got to keep it on a national level.

541
00:27:21,520 --> 00:27:25,239
Speaker 1: I've got Chipotle their their new item here. Recently they

542
00:27:25,320 --> 00:27:29,160
Speaker 1: just added carne asada to their to their menu there,

543
00:27:29,440 --> 00:27:33,560
Speaker 1: Kanye started a snake eight fifty per entree in or

544
00:27:33,600 --> 00:27:36,479
Speaker 1: out on the newest item there. Yeah, I'll do it.

545
00:27:36,520 --> 00:27:38,880
Speaker 1: You got try at least once, right, especially since you're

546
00:27:38,880 --> 00:27:41,440
Speaker 1: we're here in southern California or allot the Mexican food.

547
00:27:41,840 --> 00:27:44,879
Speaker 1: You love Carnisi when you came to an event at

548
00:27:44,880 --> 00:27:47,760
Speaker 1: the Mallard Mansion, which for some reason my wife foolishly

549
00:27:47,800 --> 00:27:52,199
Speaker 1: invited you to. Uh you did bring carne asada. I

550
00:27:52,200 --> 00:27:55,520
Speaker 1: brought carney, I brought some boil. Uh yeah, I mean

551
00:27:55,880 --> 00:27:57,280
Speaker 1: you didn't bring a lot. You're you're a big fan

552
00:27:57,320 --> 00:27:59,800
Speaker 1: of the carnie. You were burning most of the other meats.

553
00:28:00,040 --> 00:28:02,879
Speaker 1: I thought I would do something different. It's actually cooking

554
00:28:02,920 --> 00:28:06,560
Speaker 1: it properly. Now you're doing your barbecuing it and you're

555
00:28:06,600 --> 00:28:10,160
Speaker 1: making the meat just look charcoal black. And I came

556
00:28:10,160 --> 00:28:14,040
Speaker 1: to the rescue. Spoiler alert, It's delicious. That's what be

557
00:28:14,160 --> 00:28:16,600
Speaker 1: sure to catch. Live editions of The Ben Maller Show

558
00:28:16,640 --> 00:28:20,320
Speaker 1: weekdays at two am Eastern eleven pm Pacific on Fox

559
00:28:20,359 --> 00:28:24,720
Speaker 1: Sports Radio and the I Heart Radio app. Uh. Panera bread.

560
00:28:25,280 --> 00:28:31,159
Speaker 1: This is Baja Grain Bowl and Mediterranean grain bowl. So

561
00:28:31,200 --> 00:28:33,879
Speaker 1: they're going big on the grain. They've got long grain

562
00:28:34,000 --> 00:28:37,919
Speaker 1: brown rice mixed with red and golden quinoa. Has always

563
00:28:37,920 --> 00:28:42,680
Speaker 1: say how you said? Uh, grilled citrus pepper chicken. It's

564
00:28:42,760 --> 00:28:46,840
Speaker 1: qu i n o A yea queen what? I never?

565
00:28:46,960 --> 00:28:49,840
Speaker 1: What is that? It's like it's like rice. O, what

566
00:28:50,000 --> 00:28:52,760
Speaker 1: is this rice? Because it's not rice, it's keen one. Now,

567
00:28:52,760 --> 00:28:54,920
Speaker 1: I mean, I'm out on this. I'm not you know,

568
00:28:54,960 --> 00:28:57,600
Speaker 1: Panera bread not my own, my spot. My wife likes it,

569
00:28:57,640 --> 00:28:59,600
Speaker 1: but I'm out. I don't want the grain bowl. If

570
00:28:59,640 --> 00:29:02,080
Speaker 1: I if I was a farm animal, I eat grain.

571
00:29:02,240 --> 00:29:05,040
Speaker 1: I'm out too healthy for I don't want any part

572
00:29:05,040 --> 00:29:08,640
Speaker 1: of that sounds disgusting. Uh. The veggie grill, Who the

573
00:29:08,680 --> 00:29:10,280
Speaker 1: hell goes to the how did this end up on

574
00:29:10,320 --> 00:29:12,720
Speaker 1: the list? The veggie girl they've got They got a

575
00:29:12,760 --> 00:29:16,280
Speaker 1: fake cheese steak that you can get which is a

576
00:29:16,400 --> 00:29:20,320
Speaker 1: plant based beyond Burger beef substitute. And then they have

577
00:29:20,360 --> 00:29:22,320
Speaker 1: all the other traditional stuff that you put in a

578
00:29:22,400 --> 00:29:29,160
Speaker 1: nice traditional Philly cheese steak thirteen fifty. Uh no, I mean, why,

579
00:29:29,240 --> 00:29:30,600
Speaker 1: what's the point if you really want to eat a

580
00:29:30,640 --> 00:29:32,400
Speaker 1: cheese steak, eat a cheese steak. If you're if you

581
00:29:32,440 --> 00:29:34,960
Speaker 1: don't eat, eat a bunch of lettuce or something like that.

582
00:29:35,000 --> 00:29:39,760
Speaker 1: You know, best cheese steak you've ever had Philadelphia obviously homemade?

583
00:29:40,160 --> 00:29:42,800
Speaker 1: Uh come on, homemade? No no, no, no, no, let

584
00:29:42,800 --> 00:29:44,920
Speaker 1: me tell you something. Alright, Me and my wife, we've

585
00:29:45,160 --> 00:29:47,560
Speaker 1: figured this out. There's a costco not far from where

586
00:29:47,560 --> 00:29:52,280
Speaker 1: we live, and they serve thin cut ribby the same

587
00:29:52,360 --> 00:29:54,960
Speaker 1: kind that they make the restaurant quality cheese steak. And

588
00:29:55,000 --> 00:29:58,040
Speaker 1: I have I have a grittle at the Mallard mansion

589
00:29:58,360 --> 00:30:00,680
Speaker 1: and we might make it this you can guess gon

590
00:30:00,760 --> 00:30:03,000
Speaker 1: I might be partaking. My wife brought that up the

591
00:30:03,000 --> 00:30:04,880
Speaker 1: other day that we should have have some of this

592
00:30:05,000 --> 00:30:06,640
Speaker 1: cheese steak because he can make it up. You put

593
00:30:06,640 --> 00:30:08,480
Speaker 1: the onions out there, I cut up some peppers. I

594
00:30:08,600 --> 00:30:10,520
Speaker 1: make a mean cheese day. You've not had one of

595
00:30:10,520 --> 00:30:12,240
Speaker 1: my cheese steaks? Have you? Do I get an invite

596
00:30:12,280 --> 00:30:15,800
Speaker 1: for this weekend's festivities? No, not at all. Well, I

597
00:30:15,800 --> 00:30:17,880
Speaker 1: think we are actually I think there's an event that

598
00:30:17,920 --> 00:30:19,440
Speaker 1: we might be taking part. I don't know if that's

599
00:30:19,440 --> 00:30:21,440
Speaker 1: gonna make the show. Maybe we'll save that for next week.

600
00:30:21,640 --> 00:30:24,440
Speaker 1: What else? We've got Checkers and rallies. You ever eating

601
00:30:24,440 --> 00:30:29,600
Speaker 1: in the Checkers and rallies or whatever? You're Yeah, it's

602
00:30:29,600 --> 00:30:31,280
Speaker 1: just it's depends on where you are. They called the

603
00:30:31,280 --> 00:30:34,400
Speaker 1: same thing. They've got a cheese loaded burger. This is

604
00:30:34,440 --> 00:30:36,960
Speaker 1: like we're talking about the Juicy Lucy. It's a new item.

605
00:30:37,040 --> 00:30:40,720
Speaker 1: Two seasoned beef patties with melted pepper jack cheese between them.

606
00:30:41,320 --> 00:30:43,200
Speaker 1: It's only like two nine nine, which tells you it's

607
00:30:43,200 --> 00:30:48,080
Speaker 1: probably not the highest quality. But they have that, and

608
00:30:48,240 --> 00:30:51,240
Speaker 1: uh yeah, if I was Checkers a rally, I would

609
00:30:51,240 --> 00:30:53,360
Speaker 1: go with it. Why not give a shot? Sounds like

610
00:30:53,400 --> 00:30:55,920
Speaker 1: it's not that bad. A subway. This sounds like something

611
00:30:55,960 --> 00:30:57,880
Speaker 1: that would be in my wheelhouse, not your a wheelhouse,

612
00:30:57,920 --> 00:31:04,960
Speaker 1: but subway naturally. Pit smoked brisket sandwich sounds great, sounds wonderful. Right.

613
00:31:07,520 --> 00:31:10,240
Speaker 1: They say briskets smoked for at least thirteen hours, not

614
00:31:10,400 --> 00:31:12,280
Speaker 1: less than that, not twelve, not eleven, it's gonna be

615
00:31:12,320 --> 00:31:16,000
Speaker 1: thirteen hours and top with smoked cheddar cheese, barbecue sauce

616
00:31:16,120 --> 00:31:22,120
Speaker 1: on Italian bread. That sounds good as it's only available

617
00:31:22,120 --> 00:31:24,400
Speaker 1: through November six. I used to be a big Subway

618
00:31:24,400 --> 00:31:26,480
Speaker 1: guy before I got married. My wife does not like Subway.

619
00:31:26,480 --> 00:31:27,720
Speaker 1: I don't go there anymore, but I used to go

620
00:31:27,760 --> 00:31:30,040
Speaker 1: there all the time when I was living the bachelor

621
00:31:30,080 --> 00:31:33,360
Speaker 1: lifestyle was in my rotation. Back when I was doing

622
00:31:33,360 --> 00:31:35,040
Speaker 1: the eatings of trying to lose weight. I thought I

623
00:31:35,040 --> 00:31:37,160
Speaker 1: was gonna be like Jared from Subway. I'd like to

624
00:31:37,200 --> 00:31:45,200
Speaker 1: not be man. Don't go down that road. Uh. Jack

625
00:31:45,440 --> 00:31:49,000
Speaker 1: in the Box one of the great light, late night

626
00:31:49,040 --> 00:31:51,920
Speaker 1: foody run restaurants. Jack in the Box, you've got the

627
00:31:52,080 --> 00:31:55,280
Speaker 1: really big chicken sandwich. Have you seen the billboards on

628
00:31:55,280 --> 00:31:59,440
Speaker 1: this around in l A? Looks pretty? Three or four

629
00:31:59,680 --> 00:32:03,840
Speaker 1: chick and breast patties on a bun. You got the mayo, onion, sauce,

630
00:32:04,000 --> 00:32:08,680
Speaker 1: iceberg lettuce. Pass on that tomato, No thanks. Melted Swiss

631
00:32:08,680 --> 00:32:12,000
Speaker 1: style cheese. I like how they say Swiss style, which

632
00:32:12,000 --> 00:32:17,360
Speaker 1: means it's probably not cheese. Uh. Nine for a double,

633
00:32:17,400 --> 00:32:21,520
Speaker 1: four for a triple and if you're going big five

634
00:32:22,600 --> 00:32:25,840
Speaker 1: nine to clog not really your arteries, but just to

635
00:32:25,920 --> 00:32:28,800
Speaker 1: clog the what's fried and you get to fries in

636
00:32:28,880 --> 00:32:31,960
Speaker 1: a drink as well. Would you be happy ending a

637
00:32:32,120 --> 00:32:36,880
Speaker 1: long three or four day fast with something like that? Yeah,

638
00:32:37,040 --> 00:32:39,840
Speaker 1: probably not, But if I like, I don't. The only

639
00:32:39,840 --> 00:32:42,880
Speaker 1: fast food I really eat is Raising Canes. That's that's

640
00:32:42,920 --> 00:32:46,360
Speaker 1: been my my staple, the great chicken finger Shack, which

641
00:32:46,680 --> 00:32:48,080
Speaker 1: I love. I don't think you've been the one. You

642
00:32:48,080 --> 00:32:51,200
Speaker 1: will at some point. There's a Raising Canes opening here

643
00:32:51,200 --> 00:32:54,160
Speaker 1: in the next month at the Mallard Mansion mansion, so

644
00:32:54,160 --> 00:32:56,760
Speaker 1: you will have to go and then partake. But no,

645
00:32:56,960 --> 00:32:59,080
Speaker 1: like Jack in the Box is one of those things.

646
00:32:59,080 --> 00:33:00,680
Speaker 1: I used to have a Jack in the Box close

647
00:33:00,720 --> 00:33:02,720
Speaker 1: when I lived in Lincoln Heights. It was a Jack

648
00:33:02,720 --> 00:33:04,240
Speaker 1: in the Box real close to where I live, and

649
00:33:04,280 --> 00:33:07,920
Speaker 1: so I would go there and that was, you know,

650
00:33:07,960 --> 00:33:09,480
Speaker 1: kind of late night getting off the air, gett a

651
00:33:09,480 --> 00:33:10,600
Speaker 1: bite to the the eat or something like that, and that

652
00:33:10,680 --> 00:33:13,320
Speaker 1: in Tommy's. I love Tommy's, which is an l A thing.

653
00:33:13,320 --> 00:33:15,440
Speaker 1: I don't think it's outside of l A. Maybe a

654
00:33:15,440 --> 00:33:18,920
Speaker 1: couple of other places, but the chief chili cheeseburger Tommy's

655
00:33:19,400 --> 00:33:22,920
Speaker 1: one in the morning man hits the spot for now

656
00:33:23,000 --> 00:33:25,240
Speaker 1: for breakfast at Jack in the Box. What would you

657
00:33:25,280 --> 00:33:27,880
Speaker 1: get back in the day, I would get the French

658
00:33:27,960 --> 00:33:30,880
Speaker 1: toast that was my the French toast sticks at the

659
00:33:31,240 --> 00:33:32,880
Speaker 1: at Jack in the Box, that would be my thing.

660
00:33:32,880 --> 00:33:35,440
Speaker 1: All right, we're doing food picks in honor of marself.

661
00:33:35,480 --> 00:33:38,160
Speaker 1: These are all items that are either temporary or now

662
00:33:38,280 --> 00:33:41,360
Speaker 1: permanent new items at restaurants. I thought this would be

663
00:33:41,600 --> 00:33:44,160
Speaker 1: something a little different. We have Taco Bell. They've got

664
00:33:44,160 --> 00:33:46,520
Speaker 1: a couple of things that they've got, the black Bean

665
00:33:47,000 --> 00:33:50,560
Speaker 1: crunch Rap Supreme. They changed their menu. Cooper Loop was

666
00:33:50,640 --> 00:33:52,840
Speaker 1: very upset about this because they this is a vegetarian thing,

667
00:33:52,880 --> 00:33:57,400
Speaker 1: this black bean crunch Rap. I'm convinced that you know,

668
00:33:57,440 --> 00:34:00,120
Speaker 1: on radio, we have consultants and they have meetings all

669
00:34:00,160 --> 00:34:03,000
Speaker 1: the time about what's good and what's batten rightio in

670
00:34:03,080 --> 00:34:06,040
Speaker 1: the fast food industry, the last year, all of them

671
00:34:06,040 --> 00:34:10,360
Speaker 1: have decided to go with the vegetarian right. I mean everyone,

672
00:34:10,719 --> 00:34:14,560
Speaker 1: Carl's that that hard ease um, all of them. Uh

673
00:34:14,760 --> 00:34:18,000
Speaker 1: go down the list, you're burger king. They've all got

674
00:34:18,000 --> 00:34:20,920
Speaker 1: these vegetarian items and then they have the calorie listing

675
00:34:20,920 --> 00:34:23,080
Speaker 1: as well. I know Chick fil A does that. A

676
00:34:23,120 --> 00:34:25,320
Speaker 1: couple of other spots will have a listing per items,

677
00:34:25,320 --> 00:34:28,359
Speaker 1: so you'll have the calorie intake right underneath them, Like

678
00:34:28,480 --> 00:34:30,719
Speaker 1: that's the last thing you want to see, right, It's

679
00:34:30,760 --> 00:34:33,359
Speaker 1: like it's like going on a date with a check

680
00:34:33,760 --> 00:34:35,160
Speaker 1: and eventually you know you're gonna sleep with her. You

681
00:34:35,160 --> 00:34:37,080
Speaker 1: don't want to know what the cout that she's on, right,

682
00:34:37,560 --> 00:34:39,880
Speaker 1: Just hey, let's just knock this out. Do you know

683
00:34:39,880 --> 00:34:43,640
Speaker 1: how it works? Man? Women go they go low, men

684
00:34:43,760 --> 00:34:46,520
Speaker 1: go high. But it doesn't matter because then you get

685
00:34:46,520 --> 00:34:50,960
Speaker 1: these fools. They'll order something that's twelve calories and then say, hey,

686
00:34:50,960 --> 00:34:55,279
Speaker 1: I want to diet coke too. I don't know if

687
00:34:55,320 --> 00:34:57,440
Speaker 1: this is analogy fits here, but as far as like

688
00:34:57,480 --> 00:34:59,840
Speaker 1: being freaked out by the number, as you said, of

689
00:35:00,040 --> 00:35:02,640
Speaker 1: the partners, the person you're with could have I the

690
00:35:02,680 --> 00:35:05,799
Speaker 1: way I look all right. I think the analogy is

691
00:35:05,800 --> 00:35:07,680
Speaker 1: if if there was a new plane that was a

692
00:35:07,680 --> 00:35:09,840
Speaker 1: test plane, wouldn't you like someone else to test it

693
00:35:09,880 --> 00:35:13,400
Speaker 1: to make sure that it works. Yeah, you don't want

694
00:35:13,400 --> 00:35:14,480
Speaker 1: to get on the plane. You don't know if it's

695
00:35:14,480 --> 00:35:17,120
Speaker 1: gonna land or not. Right, I mean it's you know,

696
00:35:17,239 --> 00:35:18,800
Speaker 1: I mean it's a way to look at like driving

697
00:35:18,800 --> 00:35:20,560
Speaker 1: a car. You can test drive that thing around the

698
00:35:20,560 --> 00:35:24,920
Speaker 1: block a little bit. Wow, alright, I'm sure you've done

699
00:35:24,920 --> 00:35:27,120
Speaker 1: a lot of test driving in your big study. You

700
00:35:27,680 --> 00:35:29,640
Speaker 1: heard stories. My wife was telling me a story about

701
00:35:29,680 --> 00:35:31,759
Speaker 1: you the other day which I did not know that

702
00:35:31,880 --> 00:35:34,479
Speaker 1: was true, and I thought, no, that's not. She said

703
00:35:34,520 --> 00:35:36,960
Speaker 1: something happened after one of the parties there that I no,

704
00:35:37,120 --> 00:35:39,879
Speaker 1: I didn't happen. She convinced it happened. Uh Taco Bell,

705
00:35:41,200 --> 00:35:43,040
Speaker 1: I'm sure you don't want to mention that. On the

706
00:35:43,040 --> 00:35:47,480
Speaker 1: fifth Hour with Ben Mallard, guest got toasted cheddar chalupa

707
00:35:47,920 --> 00:35:52,520
Speaker 1: that's seasoned beef or chicken, shredded lettuce, dice, tomatoes, grand

708
00:35:52,960 --> 00:35:56,960
Speaker 1: grated cheddar, cheese, reduced fat, sour crimp, tortilla shell with

709
00:35:57,239 --> 00:36:01,000
Speaker 1: six month aged cheddar baked on it. But it's only

710
00:36:01,040 --> 00:36:03,760
Speaker 1: a test item in Charlotte. So if you're listening in Charlotte,

711
00:36:04,160 --> 00:36:09,160
Speaker 1: you can get a toasted cheddar chalupa. Give a take.

712
00:36:09,200 --> 00:36:12,640
Speaker 1: I'm I don't need it. Sounds awful, I'm not. Uh

713
00:36:12,760 --> 00:36:15,839
Speaker 1: elpoil local, which is a local staple of southern California

714
00:36:15,840 --> 00:36:20,040
Speaker 1: in the southwest. UH Mexican chain. And we right across

715
00:36:20,080 --> 00:36:23,960
Speaker 1: the street from our studios, the Premier Networks i Heeart

716
00:36:24,040 --> 00:36:27,320
Speaker 1: Media Building in in Sherman Oaks, California. There's an Elpoil

717
00:36:27,400 --> 00:36:30,920
Speaker 1: Loco where Magic Johnson. I've seen Magic Johnson in there

718
00:36:30,920 --> 00:36:32,600
Speaker 1: and some other celebrities that live up in the hills.

719
00:36:32,600 --> 00:36:35,560
Speaker 1: They come down there and eat their Eloil local. Uh

720
00:36:35,719 --> 00:36:38,560
Speaker 1: what do we have? We have chicken, taketos and guac.

721
00:36:39,800 --> 00:36:45,080
Speaker 1: Three miniature tacos. Stuff was shredded ranchero chicken, guac, pico

722
00:36:45,160 --> 00:36:49,160
Speaker 1: deguio cilantro and to all that and some chips in

723
00:36:49,200 --> 00:36:51,839
Speaker 1: a drink for five bucks. I love the Takedo's. I'm

724
00:36:51,920 --> 00:36:54,319
Speaker 1: big fan of the taketo. I've been an advocate for

725
00:36:54,320 --> 00:36:56,560
Speaker 1: the takedo over the years. One of the great underrated

726
00:36:56,600 --> 00:37:00,319
Speaker 1: dishes of our world is the takeito um. I used

727
00:37:00,360 --> 00:37:01,920
Speaker 1: to get to Tito's a jack in the box. They

728
00:37:02,000 --> 00:37:03,640
Speaker 1: used to have those. I don't think still do back

729
00:37:03,640 --> 00:37:05,759
Speaker 1: and that I love them, But this is all Poil Loco.

730
00:37:06,040 --> 00:37:07,800
Speaker 1: I'd be And I'm not a big guawk guy. I

731
00:37:07,840 --> 00:37:10,000
Speaker 1: don't need the guawk. I don't I don't want to guawk.

732
00:37:10,040 --> 00:37:11,719
Speaker 1: I'm okay with it. I don't hate it, but I

733
00:37:11,760 --> 00:37:14,239
Speaker 1: don't go out on my way for it. It's overpriced.

734
00:37:14,640 --> 00:37:17,880
Speaker 1: But I would, I would, I would be okay with it,

735
00:37:17,960 --> 00:37:20,239
Speaker 1: the Tito think, and they alays have chicken nachos. I'm

736
00:37:20,280 --> 00:37:25,479
Speaker 1: good with that. Chicken nacho, cheese, some cilantro some maybe

737
00:37:25,520 --> 00:37:27,879
Speaker 1: some basil on it, some salts, We're good with that.

738
00:37:28,200 --> 00:37:30,239
Speaker 1: No beans, though they put the pinto beans on there.

739
00:37:30,280 --> 00:37:32,760
Speaker 1: I don't need that. I'm good moving on. I hoped

740
00:37:32,760 --> 00:37:35,040
Speaker 1: they've got this promotion right now. These are new food items.

741
00:37:35,080 --> 00:37:38,960
Speaker 1: It's food picks in honor of marcel I hop promotion

742
00:37:39,040 --> 00:37:42,560
Speaker 1: with the Adams Family movie, which I guess is back

743
00:37:42,840 --> 00:37:47,160
Speaker 1: doing it's thing here. Uh, They've got Wednesday's webcakes butter

744
00:37:47,280 --> 00:37:52,719
Speaker 1: milk pancakes, top with cupcake icing and violet whipped topping

745
00:37:53,200 --> 00:37:57,000
Speaker 1: and webbed with Hershey's chocolate sirrup. It's a nine step

746
00:37:57,080 --> 00:37:59,279
Speaker 1: If that sounds like it's for kids, doesn't it does?

747
00:38:00,000 --> 00:38:01,359
Speaker 1: I don't think that's what going And this is also

748
00:38:01,440 --> 00:38:05,920
Speaker 1: for kids. Uncle Fester's Chocolate ice cream Shake, Hershey's Chocolate

749
00:38:06,000 --> 00:38:11,240
Speaker 1: ice cream Shake with violet whipped topping. Six fifty six

750
00:38:11,320 --> 00:38:17,440
Speaker 1: fifty for a shake, man better. Yeah, I have not

751
00:38:17,760 --> 00:38:20,120
Speaker 1: had a shaken in a while. I'm not against the shake,

752
00:38:20,239 --> 00:38:23,560
Speaker 1: but it is a high calorie item. If you're worried

753
00:38:23,560 --> 00:38:27,480
Speaker 1: about your fine girlish figure. It's it's a problem, KFC.

754
00:38:27,560 --> 00:38:28,960
Speaker 1: Let's go to KFC. This is a big one. This

755
00:38:29,040 --> 00:38:30,839
Speaker 1: made the rounds up. You might have heard about this week.

756
00:38:31,200 --> 00:38:35,759
Speaker 1: Chicken and doughnuts. Chicken and doughnuts at the KFC, which

757
00:38:35,800 --> 00:38:38,840
Speaker 1: is which is just great. Now that's fried chicken served

758
00:38:38,880 --> 00:38:42,799
Speaker 1: a nice, delicious thick breastpiece of the fried chicken fried up,

759
00:38:42,840 --> 00:38:46,239
Speaker 1: perfectly served with a glazed donut, either on a sandwich

760
00:38:46,680 --> 00:38:50,440
Speaker 1: with extra crispy breasted chicken and two no nuts that's

761
00:38:50,480 --> 00:38:53,440
Speaker 1: five ninety nine, or as a meal with chicken on

762
00:38:53,480 --> 00:38:56,839
Speaker 1: the bone or chicken tenders with one donut for five

763
00:38:56,920 --> 00:38:58,920
Speaker 1: forty nine. The donuts are also available on their Owny're

764
00:38:58,960 --> 00:39:02,000
Speaker 1: charging a dollar at o nut at KFC, so they're

765
00:39:02,000 --> 00:39:08,240
Speaker 1: getting into the donut business. It's only available though in Norfolk, Virginia, Richmond, Virginia,

766
00:39:08,360 --> 00:39:11,040
Speaker 1: in Pittsburgh. That's it. They're testing it in those markets.

767
00:39:11,120 --> 00:39:13,640
Speaker 1: That's great because I mean you you actually advised me

768
00:39:13,680 --> 00:39:17,720
Speaker 1: have moved out to that area many moods ago, somber.

769
00:39:17,719 --> 00:39:19,840
Speaker 1: It could be on the horizon for me. That'll be

770
00:39:19,840 --> 00:39:23,800
Speaker 1: in a future edition of the fifth Hour Career Advice.

771
00:39:24,560 --> 00:39:34,680
Speaker 1: Career Advice go work a full time job for Yeah.

772
00:39:34,880 --> 00:39:37,200
Speaker 1: I think the line, which I believe is true, is

773
00:39:37,239 --> 00:39:39,160
Speaker 1: that it's all for the story, right, He's all for

774
00:39:39,200 --> 00:39:40,719
Speaker 1: the lifes, all for the story. I mean, think of

775
00:39:40,760 --> 00:39:42,440
Speaker 1: the story you would have that if you did local

776
00:39:42,480 --> 00:39:46,080
Speaker 1: television in what city was it? It was in West Virginia, Right,

777
00:39:46,120 --> 00:39:48,640
Speaker 1: it's just like something blue. I forget what it was,

778
00:39:48,719 --> 00:39:52,600
Speaker 1: blew something West Virginia. Yeah, like an old sleepy town

779
00:39:52,600 --> 00:39:55,080
Speaker 1: which probably the economy went in the toilet because of

780
00:39:55,400 --> 00:39:59,960
Speaker 1: the industries, you know, leaving and all that and anyway, Uh,

781
00:40:00,000 --> 00:40:02,239
Speaker 1: this can see thing. I would go with it. I

782
00:40:02,239 --> 00:40:05,960
Speaker 1: think it's wonderful. Includes it sounds disgusting for a lot

783
00:40:05,960 --> 00:40:09,960
Speaker 1: of people, but it's got the main ingredients that you

784
00:40:10,080 --> 00:40:16,000
Speaker 1: need for for food, sugar, fat, and salt. Like anybody

785
00:40:16,040 --> 00:40:20,120
Speaker 1: that does cooking, anybody that studied the culinary arts like

786
00:40:20,200 --> 00:40:23,919
Speaker 1: me Gasco and I, I know that the three most

787
00:40:23,960 --> 00:40:27,680
Speaker 1: important food groups are salt, sugar, and fat. Right, You've

788
00:40:27,719 --> 00:40:30,400
Speaker 1: got it. No, seriously, all food that we human beings

789
00:40:30,400 --> 00:40:33,480
Speaker 1: like is de leave you conbind proper amounts of sugar, fat,

790
00:40:33,640 --> 00:40:37,480
Speaker 1: and salt. It's wonderful. This has the fat from the

791
00:40:37,560 --> 00:40:40,319
Speaker 1: and the salt from the chicken and the sugar from

792
00:40:40,360 --> 00:40:43,800
Speaker 1: the from the doughnuts. So it's I'm sure it's it's wonderful.

793
00:40:44,000 --> 00:40:46,000
Speaker 1: I'd have to eat that when I was a toxic kid.

794
00:40:46,360 --> 00:40:49,160
Speaker 1: I usually get the munches anyway. So well, that's that's

795
00:40:49,200 --> 00:40:51,760
Speaker 1: any day that ends in a y. So you know,

796
00:40:51,800 --> 00:40:54,520
Speaker 1: I'm not a frequent drinker, but if it's a Friday

797
00:40:54,640 --> 00:40:59,560
Speaker 1: or Saturday night, you like those magic mushrooms, I'm not

798
00:40:59,600 --> 00:41:02,040
Speaker 1: like the red of your like you're like, no, You're like,

799
00:41:02,320 --> 00:41:06,560
Speaker 1: what's the podcast guy that we're trying to take down here, Joe? Yeah,

800
00:41:06,640 --> 00:41:09,600
Speaker 1: the ayahuasca. Ayahuasca, Yeah, you gotta you actually have to

801
00:41:09,640 --> 00:41:12,920
Speaker 1: have a chaperone to uh to take any of that.

802
00:41:13,120 --> 00:41:15,200
Speaker 1: Have you had the iawaha? No, no, you you can

803
00:41:15,200 --> 00:41:17,880
Speaker 1: actually only get it in parts. I think it was

804
00:41:17,960 --> 00:41:21,160
Speaker 1: at South America. Yeah. Do you think like Joe Rogan

805
00:41:21,360 --> 00:41:24,000
Speaker 1: and these other Hollywood types like have access in the

806
00:41:24,040 --> 00:41:26,760
Speaker 1: Hollywood Hills they're doing ayahuasca and those things. We should

807
00:41:26,880 --> 00:41:29,759
Speaker 1: find that out. We should go explore. You recommended to

808
00:41:29,840 --> 00:41:32,080
Speaker 1: one of our our colleagues, Steve to Sager, to take

809
00:41:32,120 --> 00:41:36,120
Speaker 1: some tours around the Los Angeles air to see historic places.

810
00:41:36,680 --> 00:41:39,840
Speaker 1: We should do that we should get into the Mallard batmobile,

811
00:41:39,960 --> 00:41:43,000
Speaker 1: that little tin can and start driving up the Hollywood

812
00:41:43,040 --> 00:41:46,920
Speaker 1: Hills looking for ayahuasca. Yeah, okay, we could do Why

813
00:41:46,960 --> 00:41:48,759
Speaker 1: don't you do that and get me you can report back,

814
00:41:48,960 --> 00:41:52,880
Speaker 1: Giant Betton Mallard looking for Ayawaska the Hollywood Hills seven

815
00:41:52,880 --> 00:41:54,759
Speaker 1: feet tall were in board shirts in the middle of

816
00:41:54,760 --> 00:41:59,160
Speaker 1: the night because like a like a YouTube video that

817
00:41:59,280 --> 00:42:01,640
Speaker 1: you could put out there that would be a big hit.

818
00:42:01,719 --> 00:42:03,839
Speaker 1: All right, moving a last food story, and we gotta

819
00:42:04,080 --> 00:42:07,160
Speaker 1: get the ship sailing here again. The ships hit some

820
00:42:07,160 --> 00:42:12,160
Speaker 1: some icebergs. Pizza Hut stuffed cheese it pizza. These are

821
00:42:12,280 --> 00:42:16,319
Speaker 1: baked squares the cheese at squares with either cheese or

822
00:42:16,360 --> 00:42:20,200
Speaker 1: pepperoni and cheese, served with a side of Maranera sauce

823
00:42:20,760 --> 00:42:26,640
Speaker 1: sixty nine. This sounds really good to me. I'm not,

824
00:42:26,680 --> 00:42:29,279
Speaker 1: I haven't. My grandpa, may he rest in peace, used

825
00:42:29,320 --> 00:42:30,880
Speaker 1: to love the Pizza Hut. I used to go there

826
00:42:30,880 --> 00:42:32,839
Speaker 1: all the time when as a kid because he for

827
00:42:32,880 --> 00:42:35,600
Speaker 1: some reason, I mean not did not have the greatest

828
00:42:36,239 --> 00:42:38,920
Speaker 1: taste and pies, but he loved the Pizza Hut. And uh,

829
00:42:38,920 --> 00:42:39,960
Speaker 1: but I used to go there all the time. I've

830
00:42:39,960 --> 00:42:42,239
Speaker 1: been there in years, but I'd be down with this.

831
00:42:42,360 --> 00:42:44,279
Speaker 1: I like cheese. It's I like pizza like you know,

832
00:42:44,280 --> 00:42:46,880
Speaker 1: a little cheese and the cheese. It's sounds good to me.

833
00:42:47,120 --> 00:42:49,440
Speaker 1: Marianera dipping in there. You you sent me this earlier

834
00:42:49,480 --> 00:42:51,200
Speaker 1: in the week, and I was a big fan of

835
00:42:51,239 --> 00:42:52,920
Speaker 1: this one. I thought, this is probably the best one

836
00:42:52,920 --> 00:42:55,359
Speaker 1: that we've had on the menu so far tonight, and

837
00:42:55,440 --> 00:42:57,560
Speaker 1: it's the last one, so we saved the best for last.

838
00:42:57,600 --> 00:42:59,480
Speaker 1: You see that works? All right? Study this now, we'll

839
00:42:59,520 --> 00:43:00,959
Speaker 1: do a couple of these. I got a bunch of these,

840
00:43:00,960 --> 00:43:04,120
Speaker 1: will just react. These are actual studies I found because

841
00:43:04,120 --> 00:43:06,680
Speaker 1: I I One of my my sick twisted things that

842
00:43:06,719 --> 00:43:08,160
Speaker 1: I like here is I like to see these studies.

843
00:43:08,160 --> 00:43:11,080
Speaker 1: Even though most of them are quote your nickname bullshit.

844
00:43:11,800 --> 00:43:13,880
Speaker 1: A lot of them are just you know, because you

845
00:43:13,880 --> 00:43:16,239
Speaker 1: you you have. The way these studies are done. I

846
00:43:16,280 --> 00:43:17,960
Speaker 1: think a lot of them even though I I for

847
00:43:18,000 --> 00:43:20,120
Speaker 1: some reason I pay attention to them is that you

848
00:43:20,480 --> 00:43:24,440
Speaker 1: have a predetermined idea of the outcome, you know what

849
00:43:24,480 --> 00:43:29,759
Speaker 1: I mean, And so it's predetermined, and so these are

850
00:43:29,800 --> 00:43:32,880
Speaker 1: often predictable. It depends on who paid for the study

851
00:43:32,920 --> 00:43:35,040
Speaker 1: and who bankrolled the study and all that stuff, so

852
00:43:35,080 --> 00:43:38,200
Speaker 1: you can usually using conventional wisdom, you can kind of

853
00:43:38,200 --> 00:43:40,839
Speaker 1: figure out where it's going. But yet I still read them,

854
00:43:40,840 --> 00:43:43,799
Speaker 1: and certain percentage of them I do not think are

855
00:43:43,920 --> 00:43:47,520
Speaker 1: predominantly bullshit. But anyway, here's a new study that shows

856
00:43:47,560 --> 00:43:50,640
Speaker 1: nearly one third of people don't wash their gym clothes

857
00:43:51,160 --> 00:43:55,480
Speaker 1: in between workouts. The worst offenders here, according to the study,

858
00:43:55,600 --> 00:43:58,239
Speaker 1: is people who go to the gym every day. Now,

859
00:43:58,280 --> 00:44:01,520
Speaker 1: I go to the gym every day, but Gascon, You'll

860
00:44:01,560 --> 00:44:06,120
Speaker 1: be happy to know I'm a sweater, all right, I

861
00:44:06,360 --> 00:44:08,160
Speaker 1: M that's one of the great things. I don't have

862
00:44:08,200 --> 00:44:10,239
Speaker 1: a lot of good stuff in my DNA. There's a

863
00:44:10,280 --> 00:44:12,440
Speaker 1: lot of terrible illnesses that I will likely get as

864
00:44:12,480 --> 00:44:15,200
Speaker 1: I age here because my family has that stuff, and

865
00:44:15,560 --> 00:44:17,480
Speaker 1: I'll meet an untimely demise because of one of those

866
00:44:17,480 --> 00:44:19,040
Speaker 1: things in my DNA. But the one thing I love

867
00:44:19,080 --> 00:44:23,360
Speaker 1: about my my DNA, my my family roots is that

868
00:44:23,440 --> 00:44:26,239
Speaker 1: I am a huge sweater, and I feel like I

869
00:44:26,280 --> 00:44:28,759
Speaker 1: accomplish a lot more than I probably do when I'm

870
00:44:28,760 --> 00:44:31,160
Speaker 1: on the treadmill at the gym, because I sweat. Are

871
00:44:31,200 --> 00:44:33,400
Speaker 1: you and I are you a bed sweater and in

872
00:44:33,440 --> 00:44:35,680
Speaker 1: a food sweater too? No, No, no, it's gotta be

873
00:44:35,920 --> 00:44:37,759
Speaker 1: I gotta work up to a sweat. But I when

874
00:44:37,800 --> 00:44:40,600
Speaker 1: I'm on the treadmill, I wear because this is this

875
00:44:40,640 --> 00:44:42,440
Speaker 1: is the one thing I do where I my vanity.

876
00:44:42,480 --> 00:44:44,120
Speaker 1: I want to show off how hard I'm working out.

877
00:44:44,200 --> 00:44:46,239
Speaker 1: Because if you wear like a black shirt or a

878
00:44:46,280 --> 00:44:48,640
Speaker 1: dark colored shirt at the gym, it doesn't show the sweat, right,

879
00:44:49,360 --> 00:44:51,640
Speaker 1: So I wear gray. I wear the you know that

880
00:44:51,760 --> 00:44:55,040
Speaker 1: that light gray because that shows all the sweat lines.

881
00:44:55,480 --> 00:44:57,640
Speaker 1: But I but I have my wife very good. She

882
00:44:57,680 --> 00:45:01,040
Speaker 1: has uh She's purchased like like three or four sets

883
00:45:01,040 --> 00:45:03,399
Speaker 1: of gym clothes, so I rotate them. But I yeah,

884
00:45:03,400 --> 00:45:05,319
Speaker 1: I washed you. What about you? You sound like a

885
00:45:05,360 --> 00:45:08,600
Speaker 1: guy that would not wash you stuff. I'm a frequent

886
00:45:09,000 --> 00:45:12,239
Speaker 1: visitor of the gym, like yourself. But I gotta wash

887
00:45:12,280 --> 00:45:14,640
Speaker 1: my clothes every single day. I mean there's days that

888
00:45:14,640 --> 00:45:18,080
Speaker 1: i'll work out. My clothes actually smell like ammonia, which

889
00:45:18,120 --> 00:45:20,799
Speaker 1: is really weird. I don't know why, but I want

890
00:45:20,800 --> 00:45:23,799
Speaker 1: to check your with your doctor. There might but I

891
00:45:23,840 --> 00:45:27,360
Speaker 1: don't wear I'll wear shorts leggings underneath it to contain

892
00:45:27,440 --> 00:45:29,840
Speaker 1: my sweat because I'm like you, I sweat like a bastard.

893
00:45:29,920 --> 00:45:32,359
Speaker 1: Just all over the place or just you say, I'm

894
00:45:32,400 --> 00:45:35,960
Speaker 1: just a bastard. Yeah, not that true. I'll wear sleeves.

895
00:45:35,960 --> 00:45:38,680
Speaker 1: I'll wear long sleeve shirts because the same things sweating,

896
00:45:38,800 --> 00:45:40,840
Speaker 1: I can't. I don't like sweating all over like a

897
00:45:40,880 --> 00:45:43,920
Speaker 1: treadmill or stair master or like I know you don't

898
00:45:43,920 --> 00:45:45,800
Speaker 1: go to that area, but like the freeweight facility and

899
00:45:45,800 --> 00:45:49,840
Speaker 1: the machines like wait for occasionally I will dabble with

900
00:45:49,880 --> 00:45:53,560
Speaker 1: the weights, but I I mean do extreme weight loss stills.

901
00:45:53,560 --> 00:45:55,759
Speaker 1: So I'm doing this the cardio to burn. I know

902
00:45:56,120 --> 00:45:58,880
Speaker 1: you you lift wait burn Luney used to kemplaining to

903
00:45:58,880 --> 00:46:01,399
Speaker 1: me al you lift what you lunium meathead would say,

904
00:46:01,400 --> 00:46:04,399
Speaker 1: if you lift weights, you burn the calories all day long.

905
00:46:04,440 --> 00:46:07,319
Speaker 1: And hey, actually just do both. You do both to

906
00:46:07,320 --> 00:46:09,920
Speaker 1: increase the metabolism and you lose weight in a faster

907
00:46:09,920 --> 00:46:12,640
Speaker 1: amount of time. My time's valuable, guest, Yeah, I know.

908
00:46:12,680 --> 00:46:14,239
Speaker 1: That's why you want to do it in a truncated

909
00:46:14,239 --> 00:46:17,560
Speaker 1: amount of time as opposed to treadmill. For forty study

910
00:46:17,640 --> 00:46:22,719
Speaker 1: this study. This bird populations in the United States and

911
00:46:22,800 --> 00:46:26,360
Speaker 1: Canada have dropped by twenty nine percent since nineteen seventy.

912
00:46:26,560 --> 00:46:29,600
Speaker 1: They say two point nine billion birds have been lost

913
00:46:29,680 --> 00:46:33,560
Speaker 1: in almost fifty years, according to this new study. I

914
00:46:33,600 --> 00:46:36,880
Speaker 1: think this is bullshit. How do you account birds? All right?

915
00:46:37,120 --> 00:46:39,680
Speaker 1: How the hell does one count birds? And how does

916
00:46:39,719 --> 00:46:42,640
Speaker 1: one determine two point nine billion and not five billion

917
00:46:42,760 --> 00:46:46,400
Speaker 1: or one billion or one hundred. It's bullshit. I don't believe.

918
00:46:47,360 --> 00:46:50,120
Speaker 1: I'm calling bs on that too. All right, here's one,

919
00:46:50,400 --> 00:46:54,880
Speaker 1: uh safe to sent. A third of Americans believe this

920
00:46:55,400 --> 00:46:58,680
Speaker 1: is a good guest. This is I love the these

921
00:46:58,680 --> 00:47:01,759
Speaker 1: studies that determine this apidity of humanity because it makes

922
00:47:01,760 --> 00:47:08,080
Speaker 1: me feel better about myself. But be sure to catch

923
00:47:08,160 --> 00:47:10,600
Speaker 1: live editions of the Ben Maller Show week days at

924
00:47:10,600 --> 00:47:16,399
Speaker 1: two am Eastern eleven pm Pacific. One third of Americans

925
00:47:16,440 --> 00:47:20,440
Speaker 1: believe they can get an STD from sitting on a toilet.

926
00:47:21,320 --> 00:47:24,479
Speaker 1: From sitting on a toilet, well, you know, there's there's

927
00:47:24,520 --> 00:47:27,560
Speaker 1: certain states right now in our Republic, namely where we're

928
00:47:27,560 --> 00:47:32,840
Speaker 1: at in California. We we've had hepatitis outbreaks just walking

929
00:47:32,880 --> 00:47:36,040
Speaker 1: down the streets. Actually came from Mexico to San Diego.

930
00:47:36,120 --> 00:47:38,520
Speaker 1: Now it's here in Los Angeles, they had threats of

931
00:47:38,560 --> 00:47:43,160
Speaker 1: the bubonic plague. Oh so I like the fact that

932
00:47:43,239 --> 00:47:46,480
Speaker 1: as people aren't getting uh what's the word I'm looking for.

933
00:47:46,520 --> 00:47:48,680
Speaker 1: They're getting their shots to get certain things that have

934
00:47:48,840 --> 00:47:53,080
Speaker 1: been eradicated. These things are coming back. Vaccines, Yeah, yeah,

935
00:47:53,120 --> 00:47:57,600
Speaker 1: I mean I have a love hate relationship with medicine,

936
00:47:57,640 --> 00:47:59,480
Speaker 1: you know, and I think most of us do. His dudes.

937
00:47:59,560 --> 00:48:02,960
Speaker 1: But uh, the things that they've come up with, the

938
00:48:03,040 --> 00:48:07,840
Speaker 1: antidotes and things to prevent the bubonic not play, but

939
00:48:07,880 --> 00:48:10,960
Speaker 1: some of these these long term illnesses that and then

940
00:48:11,000 --> 00:48:12,960
Speaker 1: people are turning their back on. It just doesn't make

941
00:48:13,000 --> 00:48:15,560
Speaker 1: sense to me. It's just so stupid. But if I

942
00:48:15,840 --> 00:48:17,560
Speaker 1: grew up, if you gotta go, you gotta go. But

943
00:48:17,600 --> 00:48:19,719
Speaker 1: if you're in a club or a bar, a restaurant,

944
00:48:19,800 --> 00:48:21,560
Speaker 1: or are you going to are you going number two

945
00:48:21,560 --> 00:48:23,480
Speaker 1: in the restaurant? Yeah, this is where men have a

946
00:48:23,480 --> 00:48:26,800
Speaker 1: competitive advantage to women that we have the option. I

947
00:48:26,800 --> 00:48:28,960
Speaker 1: wouldn't do it too. I do a one. I wouldn't

948
00:48:28,960 --> 00:48:31,480
Speaker 1: have a number of problem with the number number one.

949
00:48:31,719 --> 00:48:34,600
Speaker 1: But they say the survey response wrongly think that they

950
00:48:34,600 --> 00:48:39,359
Speaker 1: could contact an STD through physical contact, erroneously believe they

951
00:48:39,400 --> 00:48:42,960
Speaker 1: could become infected from sharing a glass of water with

952
00:48:43,080 --> 00:48:47,759
Speaker 1: someone diagnosed with a sexually transmitted disease. Well, if you

953
00:48:47,800 --> 00:48:54,600
Speaker 1: got if you got mono, you can get that way. Yeah,

954
00:48:54,400 --> 00:48:58,640
Speaker 1: one had mono a couple of years ago. You're better though, right, Yeah? Recovered? Yeah,

955
00:48:59,719 --> 00:49:06,400
Speaker 1: fully operational. Thanks to your six respondents were able to

956
00:49:06,520 --> 00:49:11,359
Speaker 1: correctly identify GNA rhea as a common STD, less than

957
00:49:11,480 --> 00:49:17,040
Speaker 1: half named herpes and only could remember flamdia. So there

958
00:49:17,040 --> 00:49:19,680
Speaker 1: you go, man, what's your favorite STD? What do you

959
00:49:20,120 --> 00:49:27,600
Speaker 1: um favorite STD? Favorite way to die? I don't know,

960
00:49:27,760 --> 00:49:35,640
Speaker 1: give me the name of the podcast that man, questions

961
00:49:35,680 --> 00:49:38,600
Speaker 1: you never thought would be asked in a relaxed environment

962
00:49:38,719 --> 00:49:43,359
Speaker 1: on a podcast, on this dope podcast. Yeah, that's something

963
00:49:43,400 --> 00:49:46,880
Speaker 1: we could ask your Rogan. How about that? WHOA all right?

964
00:49:47,640 --> 00:49:50,080
Speaker 1: Oh answer, I'm not afraid like you. I'm not a coward.

965
00:49:50,080 --> 00:49:51,839
Speaker 1: I think my favorite one when I was a kid

966
00:49:51,880 --> 00:49:54,239
Speaker 1: that used to get talked about lot in school, well

967
00:49:54,840 --> 00:49:59,640
Speaker 1: HIV but also her pies, you know, because it's you

968
00:49:59,719 --> 00:50:01,360
Speaker 1: have a the rest of your life and the kids

969
00:50:01,360 --> 00:50:03,160
Speaker 1: would be vicious about that and all that. But I

970
00:50:03,160 --> 00:50:06,080
Speaker 1: think Dr Drew said something like I think it was

971
00:50:06,120 --> 00:50:09,120
Speaker 1: fifteen years I said, like most people in their twenties

972
00:50:09,160 --> 00:50:11,440
Speaker 1: at that time had herpes and they didn't even know

973
00:50:11,480 --> 00:50:15,560
Speaker 1: they had herpes. Some some ridiculous things like that so common. Anyway,

974
00:50:15,560 --> 00:50:17,359
Speaker 1: all right, what do we have? Let's see moving on

975
00:50:17,480 --> 00:50:21,120
Speaker 1: it's study this. We'll do a couple more of these things. Uh,

976
00:50:21,520 --> 00:50:25,000
Speaker 1: you care about this study? Ten thousand hours study reveals

977
00:50:25,040 --> 00:50:27,080
Speaker 1: five keys to being elite in your field? Does that

978
00:50:27,120 --> 00:50:29,560
Speaker 1: interest you at all? No, it's all about connections or

979
00:50:30,000 --> 00:50:31,480
Speaker 1: I guess here in l A what kind of plastic

980
00:50:31,520 --> 00:50:35,120
Speaker 1: surgery you got? All right, we'll skip over that. Uh

981
00:50:35,239 --> 00:50:40,279
Speaker 1: here's one. Listening to music disturbs creativity, according to a

982
00:50:40,280 --> 00:50:42,719
Speaker 1: new study. Does that do anything for you? I mean,

983
00:50:42,760 --> 00:50:44,759
Speaker 1: do you listen to Do you listen to music when

984
00:50:44,800 --> 00:50:49,840
Speaker 1: you prep for your shows? Uh? No, I don't. I

985
00:50:50,160 --> 00:50:52,879
Speaker 1: usually I have to have laser like folks, I have

986
00:50:53,160 --> 00:50:56,480
Speaker 1: in the past dabbled with. This is gonna sound elitist

987
00:50:56,520 --> 00:51:00,440
Speaker 1: and snobbish, but I have done like mo start and

988
00:51:00,520 --> 00:51:04,080
Speaker 1: some classical music. What's on that? Well, nothing's wrong with it,

989
00:51:04,120 --> 00:51:06,319
Speaker 1: But I sounded like, Uh, I feel like people listen

990
00:51:06,360 --> 00:51:10,279
Speaker 1: to classical music or schmucks and the intellectuals and all

991
00:51:10,280 --> 00:51:12,160
Speaker 1: those people that think they're better than everyone's. But I

992
00:51:12,360 --> 00:51:15,319
Speaker 1: but it does, it does help. I I like some

993
00:51:15,360 --> 00:51:19,040
Speaker 1: of the old Beethoven stuff. Modestart. I like the sound

994
00:51:19,080 --> 00:51:22,040
Speaker 1: of the it's it's good in the background. Yeah, it

995
00:51:22,080 --> 00:51:25,680
Speaker 1: just kind of tones you down a little bit, right, Yeah,

996
00:51:25,760 --> 00:51:27,839
Speaker 1: it's plus it it makes like your life's a movie

997
00:51:27,840 --> 00:51:30,120
Speaker 1: when you hear classical music, like the background music, and

998
00:51:30,160 --> 00:51:32,440
Speaker 1: a lot of movies they put some classical stuff. What

999
00:51:32,480 --> 00:51:36,160
Speaker 1: else do we have? Uh for lunch? Pancakes for lunch?

1000
00:51:36,239 --> 00:51:40,200
Speaker 1: Most Americans feel second breakfast should be an official meals

1001
00:51:41,480 --> 00:51:45,080
Speaker 1: breakfast to brunch or just breakfast breakfast. Yeah, I'm not.

1002
00:51:46,000 --> 00:51:48,319
Speaker 1: I'm not a big lover of the breakfast. I mean,

1003
00:51:48,360 --> 00:51:50,239
Speaker 1: I don't mind the breakfast foods, but I don't like

1004
00:51:50,280 --> 00:51:53,880
Speaker 1: to eat when I wake up. Usually. My wife, though,

1005
00:51:54,239 --> 00:51:57,160
Speaker 1: is she's all about that. I mean, she loves breakfast.

1006
00:51:57,200 --> 00:51:59,680
Speaker 1: If she could only eat breakfast, like pancakes and things

1007
00:51:59,719 --> 00:52:02,680
Speaker 1: like that all day, that's all she would eat breakfast.

1008
00:52:02,760 --> 00:52:06,239
Speaker 1: Where's the hierarchy though, Like do you go waffles to pancakes,

1009
00:52:06,520 --> 00:52:08,560
Speaker 1: to French toast or do you go French toast and

1010
00:52:08,560 --> 00:52:12,200
Speaker 1: then work your way down? Yeah? But my breakfast stuff,

1011
00:52:12,280 --> 00:52:15,480
Speaker 1: I I would pancakes, a stack of pancakes with syrup.

1012
00:52:15,719 --> 00:52:21,319
Speaker 1: Traditional breakfast, uh, maple surface the way to go. I'd

1013
00:52:21,360 --> 00:52:25,439
Speaker 1: go with that the waffle. Not a big egg guy,

1014
00:52:25,480 --> 00:52:28,120
Speaker 1: but a nice omelet, like a cheese omelet would be

1015
00:52:28,120 --> 00:52:32,360
Speaker 1: pretty good. Not cereal, I'm over that. But yeah, mostly

1016
00:52:32,400 --> 00:52:35,719
Speaker 1: pancakes and the waffles and the hash browns, chicken friend

1017
00:52:35,760 --> 00:52:39,480
Speaker 1: steak and eggs. Yeah not not No, that's to me.

1018
00:52:39,520 --> 00:52:42,000
Speaker 1: That's more of like a lunch thing or a dinner thing.

1019
00:52:43,080 --> 00:52:45,600
Speaker 1: What about what's your I'm French toast all the way,

1020
00:52:45,719 --> 00:52:47,799
Speaker 1: French toast. I mean, give carves, baby, and give me

1021
00:52:47,920 --> 00:52:53,000
Speaker 1: French toast. Waffles, pancakes, omelets are great, of course, No, no,

1022
00:52:53,080 --> 00:52:57,319
Speaker 1: they're great. Great breakfast brutos here in Los Angeles are

1023
00:52:57,320 --> 00:53:00,239
Speaker 1: fantastic from any kind of local shop. Yeah, the wife

1024
00:53:00,239 --> 00:53:02,600
Speaker 1: likes the breakfast burritos too. Not my thing. Yeah, I

1025
00:53:02,600 --> 00:53:04,200
Speaker 1: mean I'm a big I'm more of a fan of

1026
00:53:04,200 --> 00:53:06,440
Speaker 1: your wife than I am of you. Like I'm noticing

1027
00:53:06,440 --> 00:53:09,880
Speaker 1: a podcast with her. She's probably a lot more entertaining

1028
00:53:10,080 --> 00:53:14,160
Speaker 1: and engaging. But no, we gotta, you know, gotta give

1029
00:53:14,280 --> 00:53:16,160
Speaker 1: the people what they want. As you would say, Fox

1030
00:53:16,200 --> 00:53:19,320
Speaker 1: Sports Radio has the best sports talk lineup in the nation.

1031
00:53:19,640 --> 00:53:22,560
Speaker 1: Catch all of our shows at Fox sports radio dot

1032
00:53:22,560 --> 00:53:25,800
Speaker 1: com and within the I Heart Radio app. Search f

1033
00:53:25,920 --> 00:53:28,400
Speaker 1: s R to listen live. You know what you're like

1034
00:53:28,480 --> 00:53:30,720
Speaker 1: guests going to work with You're like a hungry puppy

1035
00:53:31,360 --> 00:53:36,759
Speaker 1: that you're not potty trained, Like like you're like you

1036
00:53:36,960 --> 00:53:39,799
Speaker 1: don't let anything. Like we we were before this show.

1037
00:53:39,880 --> 00:53:43,400
Speaker 1: We were setting up the studio and you were like,

1038
00:53:43,440 --> 00:53:47,319
Speaker 1: I was one minute, I was one minute behind where

1039
00:53:47,320 --> 00:53:50,919
Speaker 1: I was supposed to be and you are panicking. Well,

1040
00:53:51,080 --> 00:53:54,480
Speaker 1: it's like the buildings on fire. It's a five alarm

1041
00:53:54,600 --> 00:53:59,040
Speaker 1: fire and you're freaking out. One of us has a

1042
00:53:59,640 --> 00:54:02,640
Speaker 1: scared droll that doesn't allow for much movement. The other

1043
00:54:02,680 --> 00:54:05,759
Speaker 1: one has ability to freelance for another eighteen hours in

1044
00:54:05,840 --> 00:54:08,839
Speaker 1: the night. Don't forget you're the guy that actually made

1045
00:54:08,840 --> 00:54:11,560
Speaker 1: me fly down from northern California get here at an

1046
00:54:11,600 --> 00:54:13,960
Speaker 1: appropriate time, so you're not getting an appropriate time. You

1047
00:54:13,960 --> 00:54:17,040
Speaker 1: messed up my schedule, you smuck. Moving on, new study

1048
00:54:17,080 --> 00:54:22,400
Speaker 1: shows thirty of dogs who belonged to obese owners were overweight,

1049
00:54:24,160 --> 00:54:27,440
Speaker 1: fat shaming twice, fat shaming the dog and fat shaming

1050
00:54:27,480 --> 00:54:29,279
Speaker 1: the fat people that have the They say that the

1051
00:54:29,280 --> 00:54:32,080
Speaker 1: researchers said that overweight dog owners were more likely to

1052
00:54:32,080 --> 00:54:35,840
Speaker 1: give the fatty disgusting sugary foods that they eat to

1053
00:54:35,960 --> 00:54:38,239
Speaker 1: share with their dog, and thus the dog, as a

1054
00:54:38,360 --> 00:54:41,360
Speaker 1: trickle down effect, becomes obese. Do you do you have

1055
00:54:41,400 --> 00:54:44,120
Speaker 1: a dog? I do I have Bella. Thanks for listening

1056
00:54:44,120 --> 00:54:46,080
Speaker 1: to the show. I appreciate that we talked about Bella

1057
00:54:46,160 --> 00:54:49,560
Speaker 1: quite the bit. Bella is a great She's a lap dog,

1058
00:54:50,000 --> 00:54:52,200
Speaker 1: which I was against for so many years as a

1059
00:54:52,200 --> 00:54:55,200
Speaker 1: as a masculine, heterosexual male, I was against lap dogs.

1060
00:54:55,239 --> 00:54:57,640
Speaker 1: But but I love Bella. Bella is great. I I

1061
00:54:58,040 --> 00:54:59,839
Speaker 1: the ship suit is the way to go. Man, it's

1062
00:54:59,840 --> 00:55:02,239
Speaker 1: the sh it's it's it's wonderful. What do you what

1063
00:55:02,280 --> 00:55:04,720
Speaker 1: do you feed Bella? I love Bella because Bella doesn't

1064
00:55:04,760 --> 00:55:08,080
Speaker 1: bark um. You know, you know she didn't. She didn't

1065
00:55:08,080 --> 00:55:10,040
Speaker 1: bark that much unless she's outside, which is good. I

1066
00:55:10,040 --> 00:55:12,200
Speaker 1: got that dog before that would bark all the time

1067
00:55:12,239 --> 00:55:15,080
Speaker 1: when circles around, barking, and I was like trying to

1068
00:55:15,120 --> 00:55:17,160
Speaker 1: sleep or I'm trying to focus on something here. The

1069
00:55:17,239 --> 00:55:20,320
Speaker 1: damn dog markets a nightmare. But the Bella is very mellow,

1070
00:55:20,480 --> 00:55:22,680
Speaker 1: very calm and and all that. So what do you

1071
00:55:22,719 --> 00:55:26,680
Speaker 1: feed her dog food? She's a dog if you dog,

1072
00:55:26,719 --> 00:55:29,040
Speaker 1: but I'll throw like I have leftovers. The ad will

1073
00:55:29,080 --> 00:55:32,000
Speaker 1: throw the plate down. Have a field day with that,

1074
00:55:32,040 --> 00:55:35,239
Speaker 1: and then I'll nuke the plate get the germs off it. Uh. So,

1075
00:55:35,800 --> 00:55:38,640
Speaker 1: here's a study out that says a cure for the

1076
00:55:38,719 --> 00:55:43,240
Speaker 1: common cold it's possible, scientists say, after new study finds

1077
00:55:43,320 --> 00:55:46,799
Speaker 1: key protein. Of course, what's the weasel part of that statement? Guests,

1078
00:55:46,840 --> 00:55:48,759
Speaker 1: let's see if you know your weasel words? All right,

1079
00:55:49,360 --> 00:55:51,279
Speaker 1: I can repeat it one more time. All right, A

1080
00:55:51,480 --> 00:55:55,200
Speaker 1: cure for the common cold, it's possible, scientists say after

1081
00:55:55,239 --> 00:55:58,640
Speaker 1: new study finds key protein possible. Yeah, clearly, I mean

1082
00:55:59,080 --> 00:56:02,359
Speaker 1: that's bullshit. It's also possible that it's not gonna lead

1083
00:56:02,400 --> 00:56:05,200
Speaker 1: to a cure for protect you how many studies I've

1084
00:56:05,200 --> 00:56:08,080
Speaker 1: seen to say, oh, the end of cancer is near.

1085
00:56:08,160 --> 00:56:10,840
Speaker 1: You know, of course, cancers like two hundred different diseases.

1086
00:56:10,880 --> 00:56:13,600
Speaker 1: It's just not one disease. There's just it's all under

1087
00:56:13,600 --> 00:56:18,200
Speaker 1: the cancer umbrella. But there's a million different forms of cancer. Uh. Anyway,

1088
00:56:18,200 --> 00:56:20,160
Speaker 1: all right, that's I think I think we're good on that, right,

1089
00:56:20,160 --> 00:56:22,040
Speaker 1: I think we're good. So we're done. All right, we'll

1090
00:56:22,080 --> 00:56:24,799
Speaker 1: move on from that. It is the Fifth Hour with

1091
00:56:24,880 --> 00:56:28,040
Speaker 1: Ben Maller and David Guest on the gag on You

1092
00:56:28,120 --> 00:56:31,239
Speaker 1: Love Him as Twitter account, gag on there on social media,

1093
00:56:31,360 --> 00:56:34,359
Speaker 1: very popular. Uh, and it's in the bag. All right,

1094
00:56:34,400 --> 00:56:36,000
Speaker 1: we'll we'll go through as many of this as you can.

1095
00:56:36,040 --> 00:56:39,520
Speaker 1: We'll we'll do rapid fire machine gun Kelly mob style. Okay,

1096
00:56:39,760 --> 00:56:43,359
Speaker 1: it's in the bag. And these are listener emails. These

1097
00:56:43,360 --> 00:56:46,240
Speaker 1: are emails sent in by listeners like yourself. And actually

1098
00:56:46,239 --> 00:56:48,560
Speaker 1: these were posted on social media. Big shout out to

1099
00:56:48,600 --> 00:56:51,840
Speaker 1: the Mallard militia men and women on Facebook who really

1100
00:56:51,840 --> 00:56:54,600
Speaker 1: set most of these in. Usually I use Twitter, the

1101
00:56:54,600 --> 00:56:56,640
Speaker 1: Twitter machine for a lot of this stuff, but the Facebook.

1102
00:56:57,120 --> 00:56:59,719
Speaker 1: I feel like I get better questions on Facebook. I

1103
00:56:59,719 --> 00:57:02,839
Speaker 1: gotta spend more time on that Facebook anyway. This comes

1104
00:57:02,840 --> 00:57:08,239
Speaker 1: from Kay James Jeffrey, who I believe is in Sequoia, California,

1105
00:57:08,320 --> 00:57:10,280
Speaker 1: though I don't hold me to that, And he asked,

1106
00:57:10,640 --> 00:57:14,880
Speaker 1: are most of your listeners in mental health facilities or

1107
00:57:14,880 --> 00:57:19,080
Speaker 1: mental health patients? All right, Jeffrey, guess which finger I'm

1108
00:57:19,120 --> 00:57:23,480
Speaker 1: holding up, you schmuck uh no number. So here's the

1109
00:57:23,520 --> 00:57:26,400
Speaker 1: thing about that there. I will admit that generally speaking,

1110
00:57:26,440 --> 00:57:29,800
Speaker 1: there is a high percentage of my regular callers that

1111
00:57:29,840 --> 00:57:34,920
Speaker 1: have dabbled in, uh some mental health issues. But but

1112
00:57:35,040 --> 00:57:37,800
Speaker 1: I'm I'm okay. I treat everyone kind of the same.

1113
00:57:37,840 --> 00:57:39,400
Speaker 1: Not it's some people like goof on and all that.

1114
00:57:39,520 --> 00:57:41,040
Speaker 1: I think we're all like that. But the people that

1115
00:57:41,160 --> 00:57:43,960
Speaker 1: call the show are their characters on the show. They're

1116
00:57:44,000 --> 00:57:47,000
Speaker 1: part of the show. They're uh if they become regulars

1117
00:57:47,000 --> 00:57:49,280
Speaker 1: and all that stuff, and uh, the way I look

1118
00:57:49,280 --> 00:57:52,560
Speaker 1: at it, if you're calling an overnight radio show, almost

1119
00:57:52,600 --> 00:57:55,000
Speaker 1: always there's something kind of goofed up in your life,

1120
00:57:55,040 --> 00:57:59,000
Speaker 1: whether you've got a crappy schedule, you have insomnia, or

1121
00:57:59,120 --> 00:58:02,440
Speaker 1: you you did some drugs you shouldn't have done. Like,

1122
00:58:02,520 --> 00:58:06,160
Speaker 1: I think most people who listen have something a little.

1123
00:58:06,160 --> 00:58:07,760
Speaker 1: I think we're all strange, you know. It's like that

1124
00:58:07,880 --> 00:58:10,920
Speaker 1: old Door's song, Everyone's strange and all that stuff. Like

1125
00:58:11,080 --> 00:58:15,480
Speaker 1: I think that to be true. So anyway, that's my

1126
00:58:15,480 --> 00:58:17,800
Speaker 1: my position. But as far as the actual percentage, if

1127
00:58:17,800 --> 00:58:19,520
Speaker 1: I would do the Mallard math on that, you know,

1128
00:58:19,560 --> 00:58:22,160
Speaker 1: people are strange, people are strange. When you're a stranger,

1129
00:58:23,000 --> 00:58:28,440
Speaker 1: I'm gonna go, you got some really smart people that

1130
00:58:28,480 --> 00:58:30,200
Speaker 1: call on your show too, though, I'll say that much

1131
00:58:30,760 --> 00:58:33,320
Speaker 1: that follow you, I mean they're undercover. They tweet or

1132
00:58:33,360 --> 00:58:36,520
Speaker 1: email you every so often. There, oh yeah, you want

1133
00:58:36,520 --> 00:58:39,040
Speaker 1: to name anybody that's under No, no, you told me

1134
00:58:39,040 --> 00:58:43,840
Speaker 1: not to. It's your it's your your, your pocket of quality.

1135
00:58:44,360 --> 00:58:46,320
Speaker 1: You've got a big fan here. I I know she's

1136
00:58:46,320 --> 00:58:50,080
Speaker 1: a big fan of yours that loves you. Clearly hasn't

1137
00:58:50,120 --> 00:58:53,080
Speaker 1: met you, or she wouldn't love you. I don't discrew that.

1138
00:58:53,760 --> 00:58:57,800
Speaker 1: Wow leave from Phoenix writes in. He says, Ben, since

1139
00:58:57,840 --> 00:59:01,560
Speaker 1: you do not shout out on your regular radio show,

1140
00:59:01,600 --> 00:59:03,520
Speaker 1: can you can I get a shout out on the

1141
00:59:03,520 --> 00:59:06,080
Speaker 1: fifth hour? No, no, no, no. This is not a

1142
00:59:06,120 --> 00:59:09,800
Speaker 1: mainstream of a podcast. It's not. I mean, we're a renegade.

1143
00:59:10,920 --> 00:59:13,240
Speaker 1: It's like a pirate radio stations. What we're doing pirate

1144
00:59:13,240 --> 00:59:16,520
Speaker 1: podcast and that's Joe Rogan and people like that do

1145
00:59:16,680 --> 00:59:19,560
Speaker 1: shout outs on the mainstream podcast. But we're not. So Lee,

1146
00:59:19,600 --> 00:59:21,160
Speaker 1: I am not going to give you a shout out.

1147
00:59:21,200 --> 00:59:23,400
Speaker 1: I'm not going to do it, Lee at all. I

1148
00:59:23,440 --> 00:59:26,880
Speaker 1: know you love your Arizona Cardinals. We should give him

1149
00:59:26,960 --> 00:59:30,120
Speaker 1: some some special homework assignment next time he goes to

1150
00:59:30,160 --> 00:59:33,480
Speaker 1: a Cardinals game. Spell check your damn poster. How about that?

1151
00:59:33,960 --> 00:59:36,520
Speaker 1: If you're gonna try to bash Keyler Murray and send

1152
00:59:36,520 --> 00:59:39,440
Speaker 1: a tweet into Ben Maller, how about you grab the

1153
00:59:39,480 --> 00:59:42,920
Speaker 1: poster and spell check your damn print. All right, listen

1154
00:59:42,960 --> 00:59:45,200
Speaker 1: you dingle Berry. I want you to know what's such

1155
00:59:45,200 --> 00:59:48,480
Speaker 1: a Mama Luke that that guy Lee and Phoenix more

1156
00:59:48,600 --> 00:59:52,919
Speaker 1: to promote my career than you have or in many

1157
00:59:52,920 --> 00:59:54,840
Speaker 1: ways the company I work for, they don't pick the

1158
00:59:54,880 --> 00:59:57,000
Speaker 1: billboards up and all that from my show. That was

1159
00:59:57,040 --> 01:00:00,360
Speaker 1: a walking human billboard. That was the equivalent of guy

1160
01:00:00,400 --> 01:00:04,360
Speaker 1: outside a restaurant wearing sandwich board saying you know so

1161
01:00:04,480 --> 01:00:07,360
Speaker 1: and so advertisement That's what Lee did. I lovely Lee's.

1162
01:00:07,560 --> 01:00:10,280
Speaker 1: Lee's in my inner circle for years because of that.

1163
01:00:10,320 --> 01:00:13,760
Speaker 1: I was wonderful. I love that he to guy do that.

1164
01:00:13,760 --> 01:00:15,240
Speaker 1: I've had a few people do that over the years,

1165
01:00:15,240 --> 01:00:17,200
Speaker 1: bring signs to games and stuff, and it's always getting

1166
01:00:17,280 --> 01:00:20,600
Speaker 1: kicked out of hilarious. You have you have the dog

1167
01:00:20,640 --> 01:00:23,800
Speaker 1: in Colorado right well, Parker the snow dog who's we

1168
01:00:23,880 --> 01:00:26,840
Speaker 1: love Parker. Parker's like the unofficial mascout of the Broncos.

1169
01:00:26,920 --> 01:00:29,200
Speaker 1: He's got a von Miller jersey and all that I

1170
01:00:29,280 --> 01:00:33,320
Speaker 1: believe in. Parker's great And Parker was at the Broncos

1171
01:00:33,360 --> 01:00:37,640
Speaker 1: Bears game this past weekend in Chicago or in Denver

1172
01:00:37,760 --> 01:00:39,680
Speaker 1: rather and one of the security guards came up to

1173
01:00:40,160 --> 01:00:44,720
Speaker 1: the Parkers, the Parker's keeper, and said that the fan

1174
01:00:44,760 --> 01:00:48,400
Speaker 1: of the show new Parker from our show. So did

1175
01:00:48,400 --> 01:00:51,400
Speaker 1: you tell the audience about your new publicists, Ben Maller

1176
01:00:51,520 --> 01:00:55,040
Speaker 1: or Brian for the Ben Maller Show, And oh yeah,

1177
01:00:54,560 --> 01:00:57,360
Speaker 1: yeah you got you got fans that are wearing billboards

1178
01:00:57,400 --> 01:01:00,800
Speaker 1: and now you've got a a Fox Sports radio colleague

1179
01:01:00,800 --> 01:01:05,080
Speaker 1: as your your formal publicist. Listen, I know everyone's upset here.

1180
01:01:05,240 --> 01:01:08,000
Speaker 1: You're jealous of the this story that Brian knows a

1181
01:01:08,040 --> 01:01:12,800
Speaker 1: great writer. I mean, this guy should win a Pulitzer Prize. Okay,

1182
01:01:12,960 --> 01:01:17,040
Speaker 1: you understand this guy is an amazing He's like Shakespeare.

1183
01:01:17,120 --> 01:01:21,040
Speaker 1: He's a Mark Twain, he's Stephen King, He's Dr Seuss,

1184
01:01:21,080 --> 01:01:24,760
Speaker 1: He's Edward Edgar Allan Paul Who, Oscar Wilde, he's all

1185
01:01:24,800 --> 01:01:30,840
Speaker 1: the Ernest Hemingway, Charles Dickens. He's the pop laureate of

1186
01:01:31,080 --> 01:01:33,240
Speaker 1: radio trade website. Yeah so so one of the radio

1187
01:01:33,280 --> 01:01:35,800
Speaker 1: twit trade webs If you're on social media, tweet you know,

1188
01:01:35,960 --> 01:01:37,680
Speaker 1: not that I want to promote myself, but I tweeted

1189
01:01:37,680 --> 01:01:39,919
Speaker 1: this out all over the center, out on Facebook and stuff,

1190
01:01:39,920 --> 01:01:43,080
Speaker 1: and yeah, they were. Brian works for a radio trade

1191
01:01:43,200 --> 01:01:48,400
Speaker 1: industry website and he wrote an interview with me and

1192
01:01:48,440 --> 01:01:50,120
Speaker 1: it was you know, it was cool. I thought it

1193
01:01:50,160 --> 01:01:52,840
Speaker 1: was neat. It was usually I don't read those things.

1194
01:01:52,920 --> 01:01:54,640
Speaker 1: I hate those things. I don't like to hear myself

1195
01:01:54,640 --> 01:01:56,360
Speaker 1: on the radio. I don't like to read stories about me.

1196
01:01:56,400 --> 01:01:58,720
Speaker 1: Not that many people write stories about me. But I

1197
01:01:58,840 --> 01:02:02,600
Speaker 1: thought that came out no better than I anticipate. I

1198
01:02:02,600 --> 01:02:04,560
Speaker 1: always expect the worst, so it came out pretty good.

1199
01:02:04,720 --> 01:02:06,920
Speaker 1: He thought that way about this podcast, and we continue

1200
01:02:06,960 --> 01:02:11,640
Speaker 1: to hit good numbers. Now we doubled the podcast, will

1201
01:02:11,720 --> 01:02:14,480
Speaker 1: we double them again? Look at my goal for this

1202
01:02:14,560 --> 01:02:18,040
Speaker 1: podcast is to get us to six figures by the

1203
01:02:18,120 --> 01:02:21,080
Speaker 1: end of October, and I think we'll do it. Well,

1204
01:02:21,720 --> 01:02:24,600
Speaker 1: Well we got I did see that my guy in

1205
01:02:24,600 --> 01:02:28,520
Speaker 1: in Medford. Uh, he was in San Francisco and was

1206
01:02:28,560 --> 01:02:31,040
Speaker 1: it Mark from Medford? I think that's his name, apologize

1207
01:02:31,040 --> 01:02:33,640
Speaker 1: if it's not, but he he was in San Francisco. Anyways,

1208
01:02:33,640 --> 01:02:35,680
Speaker 1: his kid he got his car broken into. He told

1209
01:02:35,720 --> 01:02:37,600
Speaker 1: the whole store in the radio earlier this week, and

1210
01:02:37,640 --> 01:02:40,919
Speaker 1: he he he did what I I said. I've I've

1211
01:02:41,000 --> 01:02:43,480
Speaker 1: I've kiddered around for like the last year, saying, if

1212
01:02:43,480 --> 01:02:45,400
Speaker 1: you really want to help the show out, uh, you

1213
01:02:45,400 --> 01:02:48,280
Speaker 1: know have if you kids have smartphones, subscribe to the podcast.

1214
01:02:48,480 --> 01:02:50,800
Speaker 1: Your wife, you know, subscribe to the podcast. It doesn't

1215
01:02:50,800 --> 01:02:53,640
Speaker 1: and they don't actually have to present and be regular listeners.

1216
01:02:53,680 --> 01:02:56,160
Speaker 1: But it helps us out because we they look at

1217
01:02:56,200 --> 01:02:58,400
Speaker 1: how many subscribers we have, and that's a big thing

1218
01:02:58,440 --> 01:03:00,600
Speaker 1: to continue the podcast. Otherwise we'll get rid of the

1219
01:03:00,600 --> 01:03:02,800
Speaker 1: podcast if no one's actually subsgrimming. So it's it's an

1220
01:03:02,800 --> 01:03:05,280
Speaker 1: easy way to bump up our numbers. And if everyone listening,

1221
01:03:05,280 --> 01:03:08,640
Speaker 1: if you listening right now, added one person to the podcast,

1222
01:03:09,040 --> 01:03:12,520
Speaker 1: we would end up doubling our audience every week. Right,

1223
01:03:12,520 --> 01:03:15,120
Speaker 1: If if everyone did that, it's I think that's an

1224
01:03:15,120 --> 01:03:18,000
Speaker 1: all Ponzi scheme for podcasting. I think, right well, I

1225
01:03:18,040 --> 01:03:19,760
Speaker 1: mean we gotta get paid in order to make it

1226
01:03:19,760 --> 01:03:21,600
Speaker 1: a Ponzi scheme. Man, that's a good point. We're not

1227
01:03:21,600 --> 01:03:27,040
Speaker 1: getting paid. Gail listener Gail from Covina, California, right since,

1228
01:03:27,040 --> 01:03:30,120
Speaker 1: she says, my husband was telling me about our five

1229
01:03:30,320 --> 01:03:34,000
Speaker 1: he worked too many hours. Gail says, that's eighty miles

1230
01:03:34,040 --> 01:03:37,960
Speaker 1: one way. What a nightmare. Uh, and so he is

1231
01:03:37,960 --> 01:03:40,920
Speaker 1: too tired to ask questions, but on his behalf, Gail says,

1232
01:03:40,960 --> 01:03:43,960
Speaker 1: that's a good What a good wife Gail is? How

1233
01:03:44,000 --> 01:03:46,439
Speaker 1: great is that she's looking out for her husband anyway, Gail,

1234
01:03:46,640 --> 01:03:48,720
Speaker 1: she asked the question on behalf of her husband. Why

1235
01:03:48,760 --> 01:03:53,520
Speaker 1: does our five have an excructionary? Large number of commercials?

1236
01:03:53,840 --> 01:03:56,200
Speaker 1: All right, let's go to gascon gascon? Why are there

1237
01:03:56,240 --> 01:03:59,680
Speaker 1: so many commercials in this podcast? To give a count,

1238
01:03:59,720 --> 01:04:02,320
Speaker 1: and if isial account, there's five total. There's one at

1239
01:04:02,320 --> 01:04:05,200
Speaker 1: the beginning, one at the end which people don't listen

1240
01:04:05,240 --> 01:04:07,320
Speaker 1: to can throw it closed out, and then three in

1241
01:04:07,360 --> 01:04:09,640
Speaker 1: the middle which are embedded in. The reason why is

1242
01:04:09,680 --> 01:04:13,760
Speaker 1: because we have so much content throughout the vast i

1243
01:04:13,920 --> 01:04:19,280
Speaker 1: Heart Media podcasting network that the sales team has assigned

1244
01:04:19,840 --> 01:04:23,960
Speaker 1: those advertisers to certain podcasts on the network and they

1245
01:04:23,960 --> 01:04:26,920
Speaker 1: have now carried over onto ours. But we obviously would

1246
01:04:26,920 --> 01:04:31,800
Speaker 1: like to generate our own establishment of advertisers and sponsors.

1247
01:04:31,800 --> 01:04:33,400
Speaker 1: So that's why when you give out the email at

1248
01:04:33,400 --> 01:04:35,880
Speaker 1: the end of the podcast, they can come our way

1249
01:04:35,880 --> 01:04:38,320
Speaker 1: and we can change some of those things. Yeah, we

1250
01:04:38,360 --> 01:04:40,480
Speaker 1: would love it. Man. If you if you're in business,

1251
01:04:40,560 --> 01:04:44,160
Speaker 1: if you're big muckety muck and executive and believe it

1252
01:04:44,280 --> 01:04:46,120
Speaker 1: or not, guest On, some of these people actually listen

1253
01:04:46,160 --> 01:04:48,360
Speaker 1: to the show. Yeah, that's all right, I would I

1254
01:04:48,400 --> 01:04:52,040
Speaker 1: would love to advertiser product. And you know, if you

1255
01:04:52,120 --> 01:04:53,880
Speaker 1: like what we do with the sleep number beds on

1256
01:04:53,920 --> 01:04:55,680
Speaker 1: the Overnight Show, we can do that kind of stuff

1257
01:04:55,680 --> 01:04:58,280
Speaker 1: on the podcast. One thing I am not afraid of,

1258
01:04:58,320 --> 01:05:01,680
Speaker 1: guest On, is going long on commercials. I am not

1259
01:05:01,760 --> 01:05:05,600
Speaker 1: opposed to that at all. You told us you will

1260
01:05:05,880 --> 01:05:07,760
Speaker 1: endorse the gay magazine if you get paid for it.

1261
01:05:07,880 --> 01:05:10,360
Speaker 1: So as I learned early on, guessing you haven't learned

1262
01:05:10,400 --> 01:05:13,240
Speaker 1: this yet. We in radio, we're really in the advertising

1263
01:05:13,280 --> 01:05:16,919
Speaker 1: business because without the advertising, it's public radio. And then

1264
01:05:17,280 --> 01:05:21,120
Speaker 1: we're screwed. Uh. A J from Oxford, Michigan rights and

1265
01:05:21,160 --> 01:05:23,520
Speaker 1: he says, what the hell happened to Randy and Norman?

1266
01:05:24,160 --> 01:05:26,120
Speaker 1: One of my callers back in the day, Rookie of

1267
01:05:26,120 --> 01:05:29,320
Speaker 1: the Year to missing in Action? Ben. I feel like

1268
01:05:29,400 --> 01:05:32,320
Speaker 1: this is one of the great unspoken mysteries of the show.

1269
01:05:33,120 --> 01:05:38,920
Speaker 1: Was the shots potentially involved in the disappearance of Randy

1270
01:05:39,000 --> 01:05:43,360
Speaker 1: in Norman, Oklahoma? The Militia demands answers also Tie or

1271
01:05:43,480 --> 01:05:46,840
Speaker 1: t Y from Santa Cruz's Who's Your Favorite caller of

1272
01:05:46,840 --> 01:05:49,320
Speaker 1: all time. He says, his is Randy. So two emails

1273
01:05:49,320 --> 01:05:52,240
Speaker 1: are two questions about Randy and Norman. Uh. And to

1274
01:05:52,280 --> 01:05:54,520
Speaker 1: answer the question, all I will tell you is what

1275
01:05:54,600 --> 01:05:57,520
Speaker 1: I know a J. I believe that Randy was abducted

1276
01:05:57,560 --> 01:06:03,320
Speaker 1: by aliens. Um no. I He got upset because of

1277
01:06:03,320 --> 01:06:07,520
Speaker 1: a commercial that I was voicing for True Car, which

1278
01:06:07,640 --> 01:06:11,520
Speaker 1: said the word bounce here. And he was so triggered.

1279
01:06:11,560 --> 01:06:14,200
Speaker 1: You talk about the neurosis of people. I love Randy.

1280
01:06:14,240 --> 01:06:16,680
Speaker 1: I wish Randy would call again. I I'm upset that

1281
01:06:16,720 --> 01:06:19,640
Speaker 1: we lost Randy as a caller. I if anybody knows Randy,

1282
01:06:19,680 --> 01:06:22,000
Speaker 1: if Randy, if you're listening callers again. But Randy got

1283
01:06:22,040 --> 01:06:24,240
Speaker 1: so upset that I used the word bouncy here, he

1284
01:06:24,440 --> 01:06:29,080
Speaker 1: stopped calling the show. He that was the trigger for him.

1285
01:06:29,080 --> 01:06:32,080
Speaker 1: And who does that? Because I, by the way, here's

1286
01:06:32,120 --> 01:06:34,400
Speaker 1: a spoiler alert on this one. I don't write the

1287
01:06:34,480 --> 01:06:37,880
Speaker 1: copy on those commercials I am given by the sales

1288
01:06:37,920 --> 01:06:40,760
Speaker 1: department in Fox. The commercials with the most of them

1289
01:06:40,760 --> 01:06:42,520
Speaker 1: have talking points. But that was a commercial that I

1290
01:06:42,560 --> 01:06:45,840
Speaker 1: had to read verbatim. I read it. I'm a trained seal.

1291
01:06:45,880 --> 01:06:47,400
Speaker 1: They put something in front of me. I'm gonna read

1292
01:06:47,440 --> 01:06:49,560
Speaker 1: it and so, you know, you guy quit the show

1293
01:06:49,600 --> 01:06:52,640
Speaker 1: because of that. But Randy's Randy was great and means

1294
01:06:52,680 --> 01:06:54,960
Speaker 1: so he had this this hokey delivery. We use a

1295
01:06:55,000 --> 01:06:58,720
Speaker 1: lot of Randy drops as well. He was he was

1296
01:06:58,760 --> 01:07:00,640
Speaker 1: pretty good. All right, we're doing it's in the bag.

1297
01:07:00,680 --> 01:07:02,560
Speaker 1: We're gonna pick up the pace here because the fifth

1298
01:07:02,560 --> 01:07:06,040
Speaker 1: hour is going to turn into the sixth hour as well. Um,

1299
01:07:06,160 --> 01:07:08,680
Speaker 1: let's see here, let's get over one of these. Uh,

1300
01:07:09,000 --> 01:07:11,120
Speaker 1: here's one from Bob. Would you and the crew ever

1301
01:07:11,160 --> 01:07:16,080
Speaker 1: do remotes like at colleges? Yes, I would love to.

1302
01:07:16,200 --> 01:07:18,040
Speaker 1: That would be great. But the problem is it costs

1303
01:07:18,040 --> 01:07:20,160
Speaker 1: a lot of money for us to travel anywhere. And

1304
01:07:20,200 --> 01:07:23,040
Speaker 1: that's if you know, that's that's that's the problem. I

1305
01:07:23,040 --> 01:07:26,720
Speaker 1: remember years ago I proposed going on a national tour

1306
01:07:27,600 --> 01:07:30,160
Speaker 1: on the radio show, getting some twenty four hour diners

1307
01:07:30,160 --> 01:07:32,280
Speaker 1: somewhere in a national chain to sponsor the show and

1308
01:07:32,320 --> 01:07:35,720
Speaker 1: just do remotes like I Hops or Denny's or you know,

1309
01:07:35,880 --> 01:07:39,200
Speaker 1: Norms or those twenty four hour restaurants. But that never happened.

1310
01:07:39,240 --> 01:07:42,960
Speaker 1: So I gotta be fun though, wouldn't that be fun

1311
01:07:44,600 --> 01:07:46,320
Speaker 1: in the morning? Yeah, you don't have to go to

1312
01:07:46,480 --> 01:07:48,280
Speaker 1: I mean, what cities would you choose, like at least

1313
01:07:48,360 --> 01:07:51,720
Speaker 1: five throughout the country. You gotta be big Mallard malicious city.

1314
01:07:51,800 --> 01:07:54,640
Speaker 1: So like Kansas City in Minsota, we do well in

1315
01:07:54,640 --> 01:07:58,560
Speaker 1: in Minneapolis. Boston's been very good to me over the years.

1316
01:07:58,920 --> 01:08:03,560
Speaker 1: Uh where where else? Students at Seattle has been good

1317
01:08:03,560 --> 01:08:06,040
Speaker 1: to Seattle has been solid. We do pretty well there.

1318
01:08:06,160 --> 01:08:08,880
Speaker 1: We've been well lately in the Bay Area in San Francisco,

1319
01:08:08,960 --> 01:08:12,080
Speaker 1: which has been cool. We've got people on the big

1320
01:08:12,080 --> 01:08:16,559
Speaker 1: sports station there. Uh and uh, Houston actually, but it's

1321
01:08:16,560 --> 01:08:18,160
Speaker 1: like a love hate thing. I think I would need

1322
01:08:18,200 --> 01:08:20,479
Speaker 1: like police escorts to go to Houston because of all

1323
01:08:20,520 --> 01:08:22,639
Speaker 1: the things I've said about the Astros and the Texans,

1324
01:08:22,920 --> 01:08:26,800
Speaker 1: Deshaun Watson those idiots over the years, and James Harden

1325
01:08:26,840 --> 01:08:29,320
Speaker 1: and whatnot. But i'd be that'd be fun, Jason writes

1326
01:08:29,400 --> 01:08:31,400
Speaker 1: in Jason from Ottawa. He's pretty funny, man, He says,

1327
01:08:31,400 --> 01:08:34,479
Speaker 1: when will scientists declare Brian win Horse to be in

1328
01:08:34,560 --> 01:08:43,400
Speaker 1: fact sasquatch your thoughts? Guess, guy, that's pretty damn good man.

1329
01:08:43,640 --> 01:08:46,920
Speaker 1: That's really good. Wind Horse is a great basketball writer,

1330
01:08:47,000 --> 01:08:49,360
Speaker 1: you know. I actually when I did Ben Mallard dot Com,

1331
01:08:49,360 --> 01:08:52,519
Speaker 1: wind Horse was a local writer at the Akron Beacon

1332
01:08:52,640 --> 01:08:55,800
Speaker 1: Journal in the Cleveland area, and I featured some of

1333
01:08:55,840 --> 01:08:59,320
Speaker 1: his stuff and and uh we had some some correspondence

1334
01:08:59,320 --> 01:09:02,720
Speaker 1: from time to time, briefly early on. And he's I

1335
01:09:02,760 --> 01:09:06,679
Speaker 1: give him credit because you know, I used to look

1336
01:09:06,720 --> 01:09:09,320
Speaker 1: like he looks right now, and I would never go

1337
01:09:09,360 --> 01:09:11,680
Speaker 1: on television because I'd be like, oh my god, you know,

1338
01:09:11,720 --> 01:09:13,320
Speaker 1: I don't know what I mean. He's gonna put people

1339
01:09:13,360 --> 01:09:15,240
Speaker 1: like that on TV? Him? And what's that guy in

1340
01:09:15,280 --> 01:09:18,519
Speaker 1: the bay, Ray Ratto? Right, that's the guy Ratto looks

1341
01:09:18,560 --> 01:09:20,519
Speaker 1: like he has no business being anywhere. He looks like

1342
01:09:20,520 --> 01:09:24,080
Speaker 1: a walrus. And uh, anyway, but he's I give him credit,

1343
01:09:24,120 --> 01:09:26,200
Speaker 1: and these guys are on TV. Jason Otto was other question,

1344
01:09:26,280 --> 01:09:29,040
Speaker 1: last one? When will there be a Ben Mallers sound

1345
01:09:29,120 --> 01:09:32,000
Speaker 1: board available? Let's go to Guescon again. This is your

1346
01:09:32,040 --> 01:09:34,600
Speaker 1: domain there. Could you put a sound board of some

1347
01:09:34,640 --> 01:09:38,160
Speaker 1: of the great drops from callers and whatnot on the show,

1348
01:09:38,240 --> 01:09:40,240
Speaker 1: or just stupid things that I've said, Well, we could

1349
01:09:40,240 --> 01:09:42,320
Speaker 1: put I don't know, we could put a handful of

1350
01:09:42,320 --> 01:09:44,040
Speaker 1: them on here. I just feel that it will water

1351
01:09:44,160 --> 01:09:48,439
Speaker 1: down the authenticity of this podcast and also take away

1352
01:09:48,439 --> 01:09:51,280
Speaker 1: from what you guys do money through Friday? Is that fair?

1353
01:09:52,960 --> 01:09:55,760
Speaker 1: I think it is because people plus it's more work

1354
01:09:55,840 --> 01:09:58,439
Speaker 1: for you, and you don't want to do that. That's

1355
01:09:58,520 --> 01:10:01,240
Speaker 1: not true. I mine you wouldn't get paid for it.

1356
01:10:01,360 --> 01:10:04,280
Speaker 1: I created that wonderful opening for to you. I actually

1357
01:10:04,280 --> 01:10:06,680
Speaker 1: wrote the copy for it, had it actually done in

1358
01:10:06,760 --> 01:10:09,839
Speaker 1: format it which people love. They've written emails and tweets

1359
01:10:09,880 --> 01:10:13,640
Speaker 1: about it. So I did that. Um wow, you know

1360
01:10:15,200 --> 01:10:16,519
Speaker 1: I want to take about why don't you do a

1361
01:10:16,560 --> 01:10:19,519
Speaker 1: victory lab run around? Go ahead? Much like Gayls, much

1362
01:10:19,520 --> 01:10:23,040
Speaker 1: like Gayle's husband d seventy five miles to come to

1363
01:10:23,040 --> 01:10:26,800
Speaker 1: the studio to record this for you. So I do

1364
01:10:26,800 --> 01:10:28,720
Speaker 1: a lot of do a lot of work for the

1365
01:10:28,760 --> 01:10:32,320
Speaker 1: unappreciative Ben Mallory. You know you are such an eagle man.

1366
01:10:32,320 --> 01:10:34,200
Speaker 1: This is why the militia hates you. You are not

1367
01:10:34,280 --> 01:10:35,920
Speaker 1: a man of the people. You are not a man

1368
01:10:35,960 --> 01:10:37,840
Speaker 1: of the people. And they're all hard working people that

1369
01:10:37,880 --> 01:10:40,000
Speaker 1: works fifty hours a week. I'm I'm like one of them,

1370
01:10:40,000 --> 01:10:44,120
Speaker 1: blue collar, but much like myself, they follow the code

1371
01:10:44,120 --> 01:10:46,599
Speaker 1: of the West. You do take pride in your work.

1372
01:10:46,640 --> 01:10:49,439
Speaker 1: You finish what you start, but you don't brag about it. Okay,

1373
01:10:49,479 --> 01:10:52,960
Speaker 1: because it's you do what you're supposed to do. I

1374
01:10:53,000 --> 01:10:54,880
Speaker 1: don't brag about so I'm gonna do the code of

1375
01:10:54,880 --> 01:10:56,280
Speaker 1: the West. I gotta teach you the code of the Well,

1376
01:10:57,560 --> 01:11:00,200
Speaker 1: moving on, don't stick to sports stories of the week.

1377
01:11:00,280 --> 01:11:03,000
Speaker 1: This is the tawdry taboo and bazaar that aren't sports source.

1378
01:11:03,000 --> 01:11:04,640
Speaker 1: Of course, most of this podcast has had nothing to

1379
01:11:04,680 --> 01:11:07,719
Speaker 1: do with sports. Uh guess god, this is your domain.

1380
01:11:07,800 --> 01:11:11,360
Speaker 1: Here one of the craziest bazaar, stupid stories that you've

1381
01:11:11,360 --> 01:11:14,080
Speaker 1: seen all the last couple of days this week. Well,

1382
01:11:14,080 --> 01:11:16,200
Speaker 1: I'm happy you had a great transition talk of the

1383
01:11:16,280 --> 01:11:18,679
Speaker 1: last Well, how about this talk of the East? Dave East?

1384
01:11:18,680 --> 01:11:21,840
Speaker 1: Do you know who that is? Do not? Dave East

1385
01:11:21,960 --> 01:11:24,360
Speaker 1: is as a rapper. He's a New York City based rapper.

1386
01:11:24,560 --> 01:11:27,160
Speaker 1: And uh, I'm more West Coast rap. I know, well,

1387
01:11:27,200 --> 01:11:31,040
Speaker 1: what do you? I'm West Coast. I'm o g with Snoop. Yeah,

1388
01:11:31,120 --> 01:11:33,800
Speaker 1: Snoop you know California girls. Oh that was not really rapping,

1389
01:11:33,920 --> 01:11:37,240
Speaker 1: but yeah, alright, I bring him up because Snooper friends.

1390
01:11:37,280 --> 01:11:38,880
Speaker 1: By the way, I sat next to Snoop at the lake.

1391
01:11:39,120 --> 01:11:40,880
Speaker 1: He's in front of me, but he was real close,

1392
01:11:40,920 --> 01:11:46,160
Speaker 1: did you no? I looked at his back game, but

1393
01:11:46,160 --> 01:11:48,680
Speaker 1: he did. Yeah, go ahead, all right, Well, Davey's, the

1394
01:11:48,760 --> 01:11:51,320
Speaker 1: rapper at New York was was pot last week in

1395
01:11:51,400 --> 01:11:55,360
Speaker 1: Las Vegas. And the reason why, um, he got a

1396
01:11:55,400 --> 01:11:59,000
Speaker 1: little after it after attending Drey's nightclub. I don't know.

1397
01:11:59,000 --> 01:12:00,280
Speaker 1: I know you don't go to night club US, but

1398
01:12:00,400 --> 01:12:03,840
Speaker 1: Dre's is an after hour nightclub, and uh, he was there,

1399
01:12:03,880 --> 01:12:06,520
Speaker 1: brought a couple of girls back to his hotel room

1400
01:12:06,680 --> 01:12:10,800
Speaker 1: and actually had a threesome while having the three. While

1401
01:12:10,840 --> 01:12:14,599
Speaker 1: having the threesome, Ben, one of the women reportedly took

1402
01:12:14,600 --> 01:12:17,920
Speaker 1: a couple of bottles of champagne, didn't open them, but

1403
01:12:18,040 --> 01:12:23,479
Speaker 1: literally threw them at his dome. Officers came, Yeah, she

1404
01:12:23,560 --> 01:12:26,799
Speaker 1: was naked, of course she was. Officers came, took her statement.

1405
01:12:27,000 --> 01:12:29,960
Speaker 1: But then they also said he returned fire by throwing

1406
01:12:30,000 --> 01:12:34,160
Speaker 1: punches at her during this whole melee because reportedly she

1407
01:12:34,280 --> 01:12:40,040
Speaker 1: wasn't giving or he wasn't giving her enough of the business. Really, Yeah, alright,

1408
01:12:40,080 --> 01:12:43,519
Speaker 1: couple of thoughts here. Number one, just I I don't

1409
01:12:43,520 --> 01:12:44,960
Speaker 1: know any other than what you told me, But my

1410
01:12:45,040 --> 01:12:48,040
Speaker 1: immediate knee jerk reaction, by theory is number one, that

1411
01:12:48,479 --> 01:12:50,840
Speaker 1: he was not giving this lady enough attention. He was

1412
01:12:50,920 --> 01:12:54,360
Speaker 1: focused more on the other lady, and it's very difficult.

1413
01:12:54,400 --> 01:12:56,519
Speaker 1: I've not done that the I'm sure you do that

1414
01:12:56,560 --> 01:12:59,720
Speaker 1: all the time, guest on the two against one or

1415
01:12:59,720 --> 01:13:02,920
Speaker 1: one of its too, But I I believe in that environment.

1416
01:13:03,000 --> 01:13:06,000
Speaker 1: The problem is that you have to multitask. It's like

1417
01:13:06,120 --> 01:13:08,160
Speaker 1: chewing gum and walking at the same time. And it

1418
01:13:08,160 --> 01:13:11,080
Speaker 1: can be it can be a problematic. And the other

1419
01:13:11,080 --> 01:13:13,880
Speaker 1: thing is the law of unintended consequences. Right like you,

1420
01:13:14,240 --> 01:13:16,759
Speaker 1: as a guy, you get into something like that, you're thinking,

1421
01:13:16,840 --> 01:13:19,000
Speaker 1: everything's just gonna be like a movie you watch on

1422
01:13:19,080 --> 01:13:21,720
Speaker 1: your favorite smutty website. You know, everything would be great,

1423
01:13:21,720 --> 01:13:25,920
Speaker 1: everything gonna be perfect, And amazingly it does not working.

1424
01:13:26,000 --> 01:13:27,600
Speaker 1: What good luck to Papa Bear. I hope that he

1425
01:13:27,640 --> 01:13:35,000
Speaker 1: gets another opportunity there and everything. How about this, You've

1426
01:13:35,200 --> 01:13:38,599
Speaker 1: you've been married for quite a while. Uh, not that long.

1427
01:13:38,680 --> 01:13:42,240
Speaker 1: I'm still in the wedding bliss stage of the marriage.

1428
01:13:42,240 --> 01:13:45,240
Speaker 1: If the miss has ever said, hey, Ben, we need

1429
01:13:45,280 --> 01:13:49,320
Speaker 1: to go down a different path in our uh sexual experiences,

1430
01:13:49,640 --> 01:13:54,519
Speaker 1: would you ever be open to that? Uh? No? I

1431
01:13:54,560 --> 01:14:00,000
Speaker 1: mean I I I would most likely say not, uh,

1432
01:14:00,120 --> 01:14:03,040
Speaker 1: just because I don't like to see myself naked. I'd

1433
01:14:03,040 --> 01:14:04,760
Speaker 1: like to think that I, if I could, I would

1434
01:14:04,800 --> 01:14:08,840
Speaker 1: wear a burka at all times. My wife does not

1435
01:14:08,960 --> 01:14:11,200
Speaker 1: feel that way. My wife is a very beautiful woman,

1436
01:14:11,240 --> 01:14:15,920
Speaker 1: and she loves to to show off the beautiful skin

1437
01:14:16,000 --> 01:14:18,080
Speaker 1: and all that, her good looks and all that. But

1438
01:14:18,360 --> 01:14:21,160
Speaker 1: I'm not. I like to hide, so I I would feel,

1439
01:14:21,280 --> 01:14:25,080
Speaker 1: you know, bringing other people into the equation. Uh, third

1440
01:14:25,080 --> 01:14:27,040
Speaker 1: man in. You know they have a ruling hockey third

1441
01:14:27,040 --> 01:14:30,600
Speaker 1: man in. You can't do that. I bring that up

1442
01:14:30,640 --> 01:14:32,960
Speaker 1: because of this. You remember a K forty seven, right

1443
01:14:32,960 --> 01:14:38,240
Speaker 1: Andre Carolinko, You saw just skinny guy. Well, Thomas middle Ditch.

1444
01:14:38,360 --> 01:14:42,280
Speaker 1: He's actually a television star for that show, A Silicon Value. Uh.

1445
01:14:42,280 --> 01:14:44,640
Speaker 1: He went on an interview recently with Playboy, which I

1446
01:14:44,680 --> 01:14:47,240
Speaker 1: don't know they still published material, but he actually said

1447
01:14:47,360 --> 01:14:49,240
Speaker 1: that I thought they went out of business. Yeah, I

1448
01:14:49,240 --> 01:14:51,760
Speaker 1: me did. I did too. Um. He said that an

1449
01:14:51,800 --> 01:14:56,519
Speaker 1: open relationship actually saved his marriage. He said, only after

1450
01:14:56,560 --> 01:14:59,439
Speaker 1: I got married was I like, Molly, I'm sorry, I

1451
01:14:59,520 --> 01:15:02,599
Speaker 1: want to go non traditional here. So to her credit,

1452
01:15:02,680 --> 01:15:05,120
Speaker 1: we were able to figure this thing out and she said, yeah,

1453
01:15:05,200 --> 01:15:07,679
Speaker 1: let's figure this thing out all right. So the obviously

1454
01:15:07,840 --> 01:15:09,519
Speaker 1: is a why bother. I mean, if you're just gonna,

1455
01:15:09,680 --> 01:15:12,599
Speaker 1: you know, stoop anybody you want to stoop, then why

1456
01:15:12,640 --> 01:15:15,040
Speaker 1: what's the point of being marriage? Okay? So what if

1457
01:15:15,080 --> 01:15:18,040
Speaker 1: you're I know, there's like people have open marriages. I've

1458
01:15:18,080 --> 01:15:21,120
Speaker 1: heard of that. I mean, that's a thing, especially in entertainment.

1459
01:15:21,160 --> 01:15:23,800
Speaker 1: People do it. Why don't say I'm an open marriage? Okay?

1460
01:15:23,840 --> 01:15:25,719
Speaker 1: So what about this though? What if you're a female

1461
01:15:26,280 --> 01:15:28,479
Speaker 1: and you get married to Tim Tebow, who reported is

1462
01:15:28,520 --> 01:15:31,880
Speaker 1: still a virgin and he's not cutting it in the sack? Yeah,

1463
01:15:32,360 --> 01:15:34,160
Speaker 1: if you're a female and you have your needs, do

1464
01:15:34,160 --> 01:15:39,559
Speaker 1: you go out the beaten path? Ah? I mean you

1465
01:15:39,560 --> 01:15:42,120
Speaker 1: should try to. I mean people have urges in you know,

1466
01:15:42,200 --> 01:15:44,120
Speaker 1: human nature takes over. I mean should try to avoid.

1467
01:15:44,160 --> 01:15:45,720
Speaker 1: I mean there are some devices you can get that

1468
01:15:45,800 --> 01:15:49,479
Speaker 1: will help massage the situation there if you will. But

1469
01:15:49,880 --> 01:15:53,240
Speaker 1: I don't. Uh. The other the other thing about these

1470
01:15:53,720 --> 01:15:56,360
Speaker 1: these relationships and all this stuff. I mean, it's like

1471
01:15:56,760 --> 01:15:59,160
Speaker 1: the swinger clubs. I had a buddy mine years ago

1472
01:15:59,160 --> 01:16:01,080
Speaker 1: that went to one of these things, and uh, and

1473
01:16:01,120 --> 01:16:03,040
Speaker 1: it was telling me it was like it was all

1474
01:16:03,080 --> 01:16:06,080
Speaker 1: like disgusting old people, you know what I mean, it's

1475
01:16:06,479 --> 01:16:08,640
Speaker 1: the idea I think most guys have an idea that

1476
01:16:08,720 --> 01:16:10,559
Speaker 1: they and and I've not been to these things, so

1477
01:16:10,600 --> 01:16:12,800
Speaker 1: maybe this guy was just it was one experience. But

1478
01:16:13,600 --> 01:16:16,040
Speaker 1: I mean, you envisioned this being again like a porno

1479
01:16:16,120 --> 01:16:18,240
Speaker 1: where everyone's beautiful and all that stuff. But I have

1480
01:16:18,280 --> 01:16:21,200
Speaker 1: a feeling that at these places, these swing clubs, that

1481
01:16:21,240 --> 01:16:24,120
Speaker 1: they're just disgusting, ugly people most of the time. I mean,

1482
01:16:24,120 --> 01:16:25,800
Speaker 1: there's probably a couple of good looking people, but I

1483
01:16:26,040 --> 01:16:27,920
Speaker 1: that's how I envisioned this. That's another reason for me

1484
01:16:27,960 --> 01:16:30,080
Speaker 1: not to take part. Fair enough, This is a special

1485
01:16:30,080 --> 01:16:32,200
Speaker 1: shout out to Chris and Houston. I know you will

1486
01:16:32,240 --> 01:16:34,439
Speaker 1: love this story and the one on the podcast. Right

1487
01:16:34,439 --> 01:16:36,960
Speaker 1: he's demanding to come on the podcast. Chris wants to

1488
01:16:36,960 --> 01:16:39,439
Speaker 1: be our first guest. Well, he's actually coming on right

1489
01:16:39,439 --> 01:16:42,639
Speaker 1: now in a special kind of way. Bena, a Houston man,

1490
01:16:42,760 --> 01:16:46,200
Speaker 1: was recently wanted by authorities, and the reason why was

1491
01:16:46,280 --> 01:16:50,960
Speaker 1: because he actually filed and completed a divorce without his

1492
01:16:51,040 --> 01:16:55,559
Speaker 1: wife's permission, so he could he committed aggravated perjury when

1493
01:16:55,560 --> 01:16:58,720
Speaker 1: he went through the divorce process signing all the documents

1494
01:16:58,720 --> 01:17:03,200
Speaker 1: without his wife's can scent Wow? Yeah, Like I I

1495
01:17:03,280 --> 01:17:06,439
Speaker 1: saw that this is an amazing story to me. All Right,

1496
01:17:06,560 --> 01:17:11,200
Speaker 1: this is cloak and dagger, this is outlaw, this is bootleg,

1497
01:17:11,360 --> 01:17:16,520
Speaker 1: this is all of those adjectives. What a like villainist

1498
01:17:16,760 --> 01:17:20,759
Speaker 1: type slimeball. But at the same time you're the arch villain.

1499
01:17:20,840 --> 01:17:26,840
Speaker 1: But you respect, you respect the effort that I wouldn't

1500
01:17:26,880 --> 01:17:29,439
Speaker 1: even think that you could pull something like. Obviously he

1501
01:17:29,520 --> 01:17:33,040
Speaker 1: didn't pull this off. But you I imagine, and I

1502
01:17:33,040 --> 01:17:34,720
Speaker 1: don't know if this is true enough, but imagine the

1503
01:17:34,720 --> 01:17:37,040
Speaker 1: whole time this is going on, He's not tipping his

1504
01:17:37,080 --> 01:17:39,679
Speaker 1: wife off at all. Right, he's just you know, living

1505
01:17:39,760 --> 01:17:42,600
Speaker 1: his married life, and and he's filling out all the

1506
01:17:42,600 --> 01:17:46,040
Speaker 1: paperwork and all this stuff. And uh, he's completely in

1507
01:17:46,080 --> 01:17:48,920
Speaker 1: the clueless about the whole thing. I love the effort.

1508
01:17:48,920 --> 01:17:51,320
Speaker 1: How about the effort on this one. Uh, an eight

1509
01:17:51,360 --> 01:17:54,639
Speaker 1: hundred pound opioid cooking spoon was actually delivered to the

1510
01:17:54,720 --> 01:17:59,360
Speaker 1: front door of Johnson Johnson's New Jersey campus just a

1511
01:17:59,400 --> 01:18:02,360
Speaker 1: couple of days ago by an activist and an artist

1512
01:18:02,439 --> 01:18:06,360
Speaker 1: Ben This this thing is huge. It's like, it's obviously

1513
01:18:06,400 --> 01:18:08,640
Speaker 1: a real life form, but eight hundred pounds. It's a

1514
01:18:08,720 --> 01:18:11,400
Speaker 1: curve spoon. So I guess the best way to describe

1515
01:18:11,439 --> 01:18:13,000
Speaker 1: it as if you ever watched the Matrix and they

1516
01:18:13,040 --> 01:18:15,800
Speaker 1: bent the spoon one way, it was pretty much it's

1517
01:18:15,800 --> 01:18:18,439
Speaker 1: an old magic trick. You can bend spoons. You get

1518
01:18:18,439 --> 01:18:21,120
Speaker 1: the spoon hot, you can bend it. Uh it is

1519
01:18:22,040 --> 01:18:25,639
Speaker 1: did did the lame jokes were actually earlier in the week,

1520
01:18:25,680 --> 01:18:30,240
Speaker 1: But did the spoon smack down? Guests kind of get it?

1521
01:18:30,320 --> 01:18:33,240
Speaker 1: Was it delivered by Aunt Hazel? Did she come out there?

1522
01:18:33,280 --> 01:18:36,720
Speaker 1: And yeah, special kind of stuff. So it's a ten

1523
01:18:36,760 --> 01:18:40,920
Speaker 1: ft long, eight hundred pounds spoon, and obviously it's dedicaid

1524
01:18:40,960 --> 01:18:43,720
Speaker 1: towards the opioid crisis here in the United States. So

1525
01:18:44,280 --> 01:18:47,400
Speaker 1: run the front doorstep of Johnson and Johnson. That's that's

1526
01:18:47,439 --> 01:18:51,160
Speaker 1: a pretty solid move. It's a yeah, Johnson and Johnson.

1527
01:18:51,200 --> 01:18:54,360
Speaker 1: We all these these drug companies are facing these living

1528
01:18:54,479 --> 01:18:56,519
Speaker 1: lawsuits and some of them are settling and stuff. I've

1529
01:18:56,520 --> 01:18:59,280
Speaker 1: been reading these stories. But the the heroin thing, it's

1530
01:18:59,280 --> 01:19:00,760
Speaker 1: a big deal. It's a big problem. I got a

1531
01:19:00,800 --> 01:19:02,200
Speaker 1: lot of guys that listen to me that have had

1532
01:19:02,360 --> 01:19:04,400
Speaker 1: either been on the heroin or they're on the heroine

1533
01:19:04,479 --> 01:19:07,599
Speaker 1: right now, or Fenton all or all that stuff. Man,

1534
01:19:07,640 --> 01:19:10,280
Speaker 1: it's a big it's a big problem. And I it's

1535
01:19:10,120 --> 01:19:12,639
Speaker 1: it's it sucks because people start out they need the stuff,

1536
01:19:12,680 --> 01:19:15,400
Speaker 1: they get injured or something like that, the doctors give

1537
01:19:15,400 --> 01:19:16,760
Speaker 1: it to him, and then they get addicted to it,

1538
01:19:16,840 --> 01:19:19,320
Speaker 1: and then they're buying the crap on the backyards and

1539
01:19:19,320 --> 01:19:22,280
Speaker 1: garages and stuff like that. It sucks. Speaking of crapple

1540
01:19:22,280 --> 01:19:25,360
Speaker 1: and on a on a low note here, Um, I

1541
01:19:25,439 --> 01:19:27,880
Speaker 1: know how a teen was actually busted a couple of

1542
01:19:27,960 --> 01:19:29,800
Speaker 1: days ago. He was sent I want to hear you

1543
01:19:29,800 --> 01:19:31,080
Speaker 1: give this story. That's what I would like to do

1544
01:19:31,160 --> 01:19:33,679
Speaker 1: this so Ohio teen was actually sentenced to jail after

1545
01:19:33,760 --> 01:19:39,200
Speaker 1: he admitted to uh serving his teacher a crepe. Um. Yeah, Ben,

1546
01:19:39,200 --> 01:19:42,440
Speaker 1: it was part of a bad joke during a cooking competition.

1547
01:19:42,960 --> 01:19:45,800
Speaker 1: The crepe just wasn't any original kind of crepe with

1548
01:19:46,000 --> 01:19:49,520
Speaker 1: maybe some bananas and whipped cream and some eggs in it.

1549
01:19:49,520 --> 01:19:52,800
Speaker 1: It was a semen tainted crepe that he served to

1550
01:19:52,880 --> 01:20:00,479
Speaker 1: his teacher in the Navy. He's a seaman of yours.

1551
01:20:00,680 --> 01:20:04,080
Speaker 1: My rim shot, I need a rim shot, Yeah, God,

1552
01:20:04,120 --> 01:20:05,720
Speaker 1: I need a rim shot. That's a bad job, but

1553
01:20:05,800 --> 01:20:07,880
Speaker 1: you yeah, that's right. Thirty days in jail and the

1554
01:20:07,960 --> 01:20:12,439
Speaker 1: detention center for obviously uh supplying his teacher with a

1555
01:20:12,600 --> 01:20:17,000
Speaker 1: tainted covered creepe. Yeah. I mean, here's how I relate

1556
01:20:17,040 --> 01:20:18,960
Speaker 1: to this story. Not that I've ever eaten a crepe

1557
01:20:19,160 --> 01:20:21,320
Speaker 1: in that in that way, but we get said a

1558
01:20:21,320 --> 01:20:24,639
Speaker 1: lot of mail listen that way. Well we we well,

1559
01:20:24,680 --> 01:20:28,400
Speaker 1: we get sent mail food from listening a couple of

1560
01:20:28,439 --> 01:20:32,000
Speaker 1: days ago. I know. Yeah, well we're not that's an

1561
01:20:32,120 --> 01:20:34,559
Speaker 1: HR matter. We're not supposed to be talking. That's with

1562
01:20:34,720 --> 01:20:38,439
Speaker 1: I heart HR. But um. But but yeah, so I

1563
01:20:38,439 --> 01:20:42,479
Speaker 1: I get sent food and and and stuff, and most

1564
01:20:42,520 --> 01:20:45,160
Speaker 1: of it if it's if it's open, you're you're always concerned,

1565
01:20:45,200 --> 01:20:47,080
Speaker 1: right If your listener comes and brings food in, you

1566
01:20:47,080 --> 01:20:51,479
Speaker 1: don't know if they've added some extra spices on it

1567
01:20:51,560 --> 01:20:54,200
Speaker 1: or whatever their own their own touch. But usually I'll

1568
01:20:54,200 --> 01:20:56,439
Speaker 1: have Coope eat some of it first or one of

1569
01:20:56,479 --> 01:20:58,720
Speaker 1: the other guys, and and we'll see if it's any

1570
01:20:58,720 --> 01:21:00,559
Speaker 1: good or not. And then if they don't die within

1571
01:21:00,600 --> 01:21:02,760
Speaker 1: an hour, I figure it's probably pretty good, so I'll

1572
01:21:02,800 --> 01:21:04,720
Speaker 1: just I'll have something. Here's the thing, though, this is

1573
01:21:04,720 --> 01:21:08,400
Speaker 1: a tricky spot because this teenager wasn't the only one. He,

1574
01:21:08,520 --> 01:21:11,439
Speaker 1: along with seven other students, were actually accused of the

1575
01:21:11,479 --> 01:21:17,840
Speaker 1: assault and for the crimes so execution wise, I'm gonna

1576
01:21:17,880 --> 01:21:20,160
Speaker 1: have some listeners that give us an idea of how

1577
01:21:20,160 --> 01:21:25,280
Speaker 1: this thing would go down. Well, I would think that

1578
01:21:25,640 --> 01:21:28,280
Speaker 1: it's pretty obvious how it would go down. You need

1579
01:21:28,320 --> 01:21:30,880
Speaker 1: to get the substance. How do you get the substance?

1580
01:21:30,920 --> 01:21:34,559
Speaker 1: But would you feel comfortable with six other participants in

1581
01:21:34,560 --> 01:21:38,439
Speaker 1: this prank with you? Well, you think they all stood

1582
01:21:38,479 --> 01:21:40,840
Speaker 1: around in a circle at the same time and did this?

1583
01:21:40,920 --> 01:21:42,960
Speaker 1: Is that what you're like? I would imagine they just

1584
01:21:43,000 --> 01:21:45,880
Speaker 1: passed this thing, this thing around is all your turn

1585
01:21:45,960 --> 01:21:48,080
Speaker 1: going to do your business? I don't know. I'm not

1586
01:21:48,160 --> 01:21:53,360
Speaker 1: the baker here. I like that all these uh, these

1587
01:21:53,400 --> 01:21:56,040
Speaker 1: young young people that do this kind of stuff. Everything's

1588
01:21:56,040 --> 01:21:59,479
Speaker 1: recorded so right, It's like everything's documented with a cell

1589
01:21:59,479 --> 01:22:03,080
Speaker 1: phone vide you know. It's just wonderful. That's where that's good.

1590
01:22:03,120 --> 01:22:05,160
Speaker 1: That's what we got for the five stories. All right,

1591
01:22:05,360 --> 01:22:08,840
Speaker 1: very good. So there it is an extended version. I boy,

1592
01:22:08,880 --> 01:22:11,360
Speaker 1: I'm he's listening right now and extending version of the

1593
01:22:11,360 --> 01:22:14,040
Speaker 1: Fifth Hour with Ben Maller and David Guescot. So if

1594
01:22:14,040 --> 01:22:15,840
Speaker 1: you want to contact us, send a question in for

1595
01:22:15,880 --> 01:22:18,280
Speaker 1: a future episode. Tells you love us, hate us, give

1596
01:22:18,360 --> 01:22:20,479
Speaker 1: us that feedback. We get on the radio show. We

1597
01:22:20,520 --> 01:22:23,120
Speaker 1: need it on the podcast as well. It's it's very important.

1598
01:22:23,120 --> 01:22:26,200
Speaker 1: Guestcott needs an ego massaged. I don't. I'm okay with that,

1599
01:22:26,280 --> 01:22:31,120
Speaker 1: but email me. It's the real fifth Hour Gmail, the real,

1600
01:22:31,880 --> 01:22:34,240
Speaker 1: the real. I'm sorry, I thought it was just real.

1601
01:22:34,560 --> 01:22:36,920
Speaker 1: Maybe give me got the wrong email address or maybe

1602
01:22:36,960 --> 01:22:39,040
Speaker 1: I just said the wrong one. All right, now you

1603
01:22:39,080 --> 01:22:43,920
Speaker 1: see now you're confusing me. It's a bad job by you, Guestcott, okay,

1604
01:22:45,000 --> 01:22:47,960
Speaker 1: Real fifth Hour at gmail dot com. I need you

1605
01:22:48,000 --> 01:22:49,240
Speaker 1: to do me a favor though. I need you to

1606
01:22:49,320 --> 01:22:52,640
Speaker 1: change the password because I get these emails straight to

1607
01:22:52,720 --> 01:22:56,000
Speaker 1: my phone and every time it's an indication it comes

1608
01:22:56,000 --> 01:22:58,479
Speaker 1: from this account, and it's all spam, like what are

1609
01:22:58,479 --> 01:23:01,439
Speaker 1: you looking at on your computer? Because I get all

1610
01:23:01,520 --> 01:23:06,040
Speaker 1: this junk email from you know, for prescription pills and

1611
01:23:06,080 --> 01:23:08,800
Speaker 1: for singles one in the date. I don't get any

1612
01:23:08,800 --> 01:23:12,360
Speaker 1: of that. I don't get any of that. And uh

1613
01:23:12,439 --> 01:23:14,880
Speaker 1: and I will warn you if you email the real

1614
01:23:15,280 --> 01:23:19,960
Speaker 1: just real fifth Hour at gmail dot com. Guesstcon reads

1615
01:23:20,000 --> 01:23:22,519
Speaker 1: all the email first. I'll go there and everything as

1616
01:23:22,560 --> 01:23:24,920
Speaker 1: soon as you send it. In guest On such an egomaniac,

1617
01:23:25,120 --> 01:23:27,240
Speaker 1: he will have to read like hill Billy, Myke or

1618
01:23:27,400 --> 01:23:30,840
Speaker 1: Greg or Jimmy or these guys. They'll send questions in

1619
01:23:31,720 --> 01:23:34,439
Speaker 1: Bill and these guys and and and guestcon Readson before

1620
01:23:34,439 --> 01:23:36,080
Speaker 1: I even have a chance to look at them, like

1621
01:23:37,200 --> 01:23:39,679
Speaker 1: I get I get open mail. I don't get unopened mail.

1622
01:23:39,680 --> 01:23:41,599
Speaker 1: I get open mail by the time I look at it.

1623
01:23:41,920 --> 01:23:44,360
Speaker 1: Because of you, and also hit us up on our

1624
01:23:44,360 --> 01:23:46,559
Speaker 1: social media channels. We we really want to crank up

1625
01:23:46,600 --> 01:23:48,160
Speaker 1: the Reddit page. I'm a big fan of Reddit. I

1626
01:23:48,160 --> 01:23:50,679
Speaker 1: liked the product that they haven't read it, so probably

1627
01:23:50,800 --> 01:23:52,559
Speaker 1: the one. I'm on the most of the social media

1628
01:23:53,200 --> 01:23:55,360
Speaker 1: pages for stuff to talk about on the show, and

1629
01:23:55,360 --> 01:23:58,040
Speaker 1: it's interesting. I love it. So it's uh the reddit

1630
01:23:58,120 --> 01:24:02,000
Speaker 1: subreddit is Ben Maller's show. So if you're on Reddit,

1631
01:24:02,000 --> 01:24:04,040
Speaker 1: you know what that is. Suburb at Ben mallor in

1632
01:24:04,080 --> 01:24:07,599
Speaker 1: the Facebook page, uh is great Ben Maller Show, by

1633
01:24:07,600 --> 01:24:09,760
Speaker 1: the one Ready and the Facebook page Ben Mallers Show

1634
01:24:09,800 --> 01:24:13,439
Speaker 1: as well, and then on Twitter just Ben Maller and

1635
01:24:13,600 --> 01:24:14,720
Speaker 1: those are the ways to reach it. So I have

1636
01:24:14,760 --> 01:24:17,000
Speaker 1: a great weekend. We'll be back on Sunday night to

1637
01:24:17,040 --> 01:24:19,320
Speaker 1: recap week three in the NFL on the radio show

1638
01:24:19,920 --> 01:24:23,680
Speaker 1: and to also download Benny Versus the Penny, the other podcast,

1639
01:24:23,680 --> 01:24:26,680
Speaker 1: which won't be that long this week unless unless we

1640
01:24:26,880 --> 01:24:29,000
Speaker 1: change some schedules around. We'll get to all that uh,

1641
01:24:29,040 --> 01:24:30,479
Speaker 1: and we'll do it on the next edition of the

1642
01:24:30,479 --> 01:24:32,559
Speaker 1: Fifth Hour, So have a great weekend.