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Speaker 1: Johnny Ketch Show, John Cobelt and Ken Shampoo Camp five Am,

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Speaker 1: six forty Live everywhere on the iHeartRadio app. You pronounced

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Speaker 1: casts Okay, I wanted to pronounce the man's name right.

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Speaker 1: You couldn't do that off the air before we came

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Speaker 1: on supposed to be, but I did, and then I

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Speaker 1: forgot rumbling pronounce it. And I'm meant to turn off

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Speaker 1: the mic when I did that, and I asked him

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Speaker 1: five minutes ago when I forgot people enjoying your Biden

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Speaker 1: moments they're fun. He's gonna come on in a moment.

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Speaker 1: He too much for me, the auto insured specialist, big

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Speaker 1: donors to the Pasta Thon over the years, but right now,

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Speaker 1: drum roll please, we have a new grand total of

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Speaker 1: cash donated. What how much we how much should we

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Speaker 1: pay the drummer? I mean that that was a short

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Speaker 1: drum roll there, he's busy and solidays five people like

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Speaker 1: a drummer. Sixty nine hundred forty seven dollars, yes, sir,

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Speaker 1: and nineteen thousand, sixty nine pounds of pasta and tremendous

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Speaker 1: We thank all of you. The postathon is not over.

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Speaker 1: Last night was a big night at the White House

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Speaker 1: Restaurant with Tim and the crew. But this continues on

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Speaker 1: through the weekend Postathon dot Com, Smart and Final Wendy's

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Speaker 1: or places you can go and donated check out do

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Speaker 1: that you have through Sunday, December fourth for Postathon twenty

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Speaker 1: twenty two. Why now, the man whose name you wanted

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Speaker 1: to pronounce Mark Cassis. He's with one of our longest

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Speaker 1: running advertisers Postathon supporters, most generous supporter. Mark Cassis is

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Speaker 1: with AIS Auto Insurance Specialists. And we are both customers, yes,

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Speaker 1: of AIS, right, happy, proud customers of AIS for many

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Speaker 1: many years. Mark, you there? I am Hell are you doing?

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Speaker 1: Johnny cann It's great to talk to you. I believe

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Speaker 1: the last time we spoke was this time last year.

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Speaker 1: That's right, it's only once a year. Can we can

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Speaker 1: we handle you? What? Yeah? And you got my name

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Speaker 1: right by the way. Oh, thank you, thank you. It

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Speaker 1: took a lot of rehearsal. So Mark, what's what's the

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Speaker 1: offer this year from AIS? Well, for the next hour,

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Speaker 1: AIS will match contributions up to twenty five hundred dollars.

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Speaker 1: You'll in this five o'clock hour. Yeah, yeah, so everyone

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Speaker 1: should call in now make sure we max out on

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Speaker 1: that offer. I can't think of a better cost to

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Speaker 1: be involved in and thank you guys for your contribution. Well,

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Speaker 1: you guys have always been great with Chef Bruno and

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Speaker 1: Katarina's Club and KFI, So the first twenty five hundred

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Speaker 1: dollars donated you will match this hour. That's right, all

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Speaker 1: right now. You guys have been with the supporting the

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Speaker 1: pasta thon for years and I guess you heard Mark.

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Speaker 1: They have served eight million meals to kids who need

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Speaker 1: the food. That's just remarkable. Yeah, it's amazing. I you

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Speaker 1: know understand this is the twelfth year you've been involved

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Speaker 1: and I can't It's millions of dollars and obviously lots

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Speaker 1: of pasta for needy children in the community. It's really

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Speaker 1: amazing and we've always been honored to be a part

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Speaker 1: of the annual support for Katarina's Club. You know, there's

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Speaker 1: a lot of division in the world today. I think

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Speaker 1: you'd agree. You guys talk about it all the time.

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Speaker 1: There's one thing we can all get behind that's taking

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Speaker 1: care of the children our communities, and that's that's exactly

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Speaker 1: what Bruno and Katarina's Club is doing. So you know,

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Speaker 1: we're all for it, we're behind it, and we're happy

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Speaker 1: to come back every year and support the cause. And

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Speaker 1: one hundred percent goes to Katarina's Club. And this what's

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Speaker 1: great about Katarina's Club is a simplicity. You're just feeding

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Speaker 1: the kids, right, You're giving them the pasta, the sauce.

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Speaker 1: It doesn't get complicated like some charities can get. It's

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Speaker 1: just very direct. It's bowls of absolutely. Yeah, yeah, yeah,

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Speaker 1: it's it's a it's a great, great benefit. Okay. I

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Speaker 1: grew up in a time kitchen with my mom make

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Speaker 1: pasta all the time. I can't imagine having anything better

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Speaker 1: to eat anyway, So I'm sure they I'm sure they

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Speaker 1: enjoy it. And I've eaten at the White House and

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Speaker 1: the food's delicious, isn't it. Isn't it one of the

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Speaker 1: best restaurants. And I'm not just blown smoke here, Jeff Bruno,

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Speaker 1: it really is one of the best restaurants I've ever

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Speaker 1: been to. He is, absolutely I agree, all right, So

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Speaker 1: Mark casses Ais, thank you again. Yeah, blessings two and

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Speaker 1: your families this holiday. Thanks thanks for letting me on

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Speaker 1: Mark Casses with the auto insurance specialists. So go to

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Speaker 1: postathon dot com. This hour, all the donations will be

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Speaker 1: matched up to twenty five hundred dollars by AIS and

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Speaker 1: their continued support for the CAFI Pastathon. They come through

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Speaker 1: every year, and of course it's an amazing cause. I

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Speaker 1: mean we've watched it grow over these years, and of

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Speaker 1: course the addition of Smart and File and Wendy's is

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Speaker 1: terrific bringing so much attention to the cause. I like

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Speaker 1: the way you asked Bruno yesterday and typical John Cobelt fashion.

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Speaker 1: Do you ever I think there was a time where

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Speaker 1: you were like, I don't know if I can do this.

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Speaker 1: This is this is too much. I may be in

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Speaker 1: over my head. And he did talk about the recession

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Speaker 1: of two thousand and seven was his only couple of

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Speaker 1: years in to Katerina's club, and he was like, yeah,

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Speaker 1: for a moment there, it was tough. He was thinking

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Speaker 1: of quitting. Yeah, because the recession hit. His business at

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Speaker 1: the Anaheim White House dropped by half and he just

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Speaker 1: didn't have the money or the personnel to keep the

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Speaker 1: pasta meals going for the kids, right, And then out

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Speaker 1: of the blue, I think he prayed and out of

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Speaker 1: the blue, Saint Katie Kirk her staff called, Oh it's

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Speaker 1: so he did the interview, did the interview, and that

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Speaker 1: got him so much publicity he was immediately able to

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Speaker 1: stay in the game. And then it just built from there.

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Speaker 1: Say the importance of radio and television interviews. Yeah, to

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Speaker 1: bring attention to your cause. All right, So pasta thon

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Speaker 1: dot com and as I mentioned, you can go to

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Speaker 1: any Smart and Final store or any Wendy's restaurant and

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Speaker 1: donate through Sunday, December fourth. These are in southern California,

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Speaker 1: and you can drive up and drop off pasta and

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Speaker 1: sauce donations at that restaurant. You guys just talked about

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Speaker 1: the Anaheim White House restaurant from eight in the morning

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Speaker 1: till three pm through Friday. If you want to do

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Speaker 1: that in person or near their restaurant, those are the

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Speaker 1: hours eight to three and there'll be a couple of

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Speaker 1: days left Tomorrow and Friday. And one hundred percent of

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Speaker 1: your donation goes directly to Katerina's Club, the twelfth annual

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Speaker 1: KFI Pasta Thon. Please donate whatever you can. Well, John,

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Speaker 1: if you're a taxpayer, you like this story. What's one

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Speaker 1: of our favorite utilities Over the years, we've covered in

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Speaker 1: southern California. Now we know PG and E has been

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Speaker 1: making big news Pacific Gas and Electric and we talk

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Speaker 1: about so call Edison. But what's the old original one?

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Speaker 1: The LA Department of Water and Power. Oh yes, my

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Speaker 1: eyes popped when I saw this story. They've got a

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Speaker 1: new agreement the International Brotherhood of Electrical Workers Local eighteen,

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Speaker 1: ten thousand workers, and this is an incredibly powerful union.

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Speaker 1: They will receive four cost of living pay increases totally

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Speaker 1: at least ten percent and as much as twenty four

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Speaker 1: percent by October of twenty twenty five, depending on inflation.

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Speaker 1: They will also get a one time cash bonus three

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Speaker 1: percent of their salary coming next month in December. This

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Speaker 1: is a place where the average employee makes well or

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Speaker 1: six figures. We have looked at the actual pay sheets. Yes, yeah,

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Speaker 1: that they're incredibly overpaid at the DWP. This is one

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Speaker 1: of the most powerful unions we have ever encountered in

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Speaker 1: terms of what they get for their workers and the

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Speaker 1: power that they and they have an iron hold on

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Speaker 1: whoever the mayor is and whoever's on the city council.

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Speaker 1: Everything gets rubber stamped. And of course there was a

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Speaker 1: ton of corruption recently the general manager, former general manager

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Speaker 1: at d WP got sent to jail and counting up

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Speaker 1: all the raises, some workers could see their salaries rise

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Speaker 1: more than seventy four percent over the four year period

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Speaker 1: seventy four Some of the workers will get as much

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Speaker 1: as a seventy four percent increase the next four years.

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Speaker 1: They do this in plain sight, and nobody questions it. Nobody.

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Speaker 1: The union's political arm is a heavy independent spender. In

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Speaker 1: the twenty twenty two election, they gave a million four

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Speaker 1: to Bass. There you go, so she's completely compromised. They

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Speaker 1: gave to Gil Sadi well Ato Farrell. That was a

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Speaker 1: waste at Destro. I'm telling you Bass is Garcetti. Garcetti

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Speaker 1: was completely bent over by the DWP union. He ran

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Speaker 1: on this idea that he wasn't going to put up

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Speaker 1: with any more DWP malfeasance. You remember that that was

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Speaker 1: a big issue in the campaign, that enough was enough

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Speaker 1: with the DWP. And as soon as he got in

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Speaker 1: he dropped his pants and and we kept saying, it's like,

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Speaker 1: you get Karen Bass, you're getting Garcetti in address, and

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Speaker 1: that's what it is. She's keeping Garcetti's entire staff for

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Speaker 1: the time being and she got a million four from

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Speaker 1: this union. So what do you think is going to

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Speaker 1: happen by the way, you're paying for all these races,

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Speaker 1: You're going to pay more for water and power. Yeah,

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Speaker 1: and it's usually they claim, oh, we're in line with

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Speaker 1: what other utilities pay for these positions. I say bs

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Speaker 1: to No, I always hear that. No, I don't care.

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Speaker 1: I don't really care what other people are making. Then

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Speaker 1: go get a job with some other utility. I get

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Speaker 1: charged by this utility. All right, we got more coming up,

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Speaker 1: John and ken KF. I am six forty live everywhere

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Speaker 1: in the iHeart Radio app. No, why don't we just

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Speaker 1: say enough and go home? Uh? Yeah, I think we've

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Speaker 1: said everything we can say for today. I can add things.

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Speaker 1: Oh yes, No, never enough for me. Really, what would

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Speaker 1: you add? Well, I would I would talk about what

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Speaker 1: John Cobald and I just talked about in the break

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Speaker 1: I suggested to him that perhaps next time he has

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Speaker 1: a burger that he adds some avocado to it to

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Speaker 1: enrich his diet. And then I told him that people

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Speaker 1: do have steak and eggs for breakfast. When he reminded

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Speaker 1: me that I had the order wrong of the bagel,

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Speaker 1: burger steak wrong. So that was exciting this. You wondered

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Speaker 1: what we talk about in here? This is what I get.

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Speaker 1: I get, I get vegan lectures. Yeah, yeah, that's what

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Speaker 1: I have to put up with here. Very sad for you.

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Speaker 1: Thank you? You need an eggsit bag? You feel sorry

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Speaker 1: for you? Yeah? I just try to imagine her tone.

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Speaker 1: Is she sympathetic looking, or she's very motherly, she's very

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Speaker 1: enthusiastic avocado. She's like someone trying to convert you to

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Speaker 1: a new religion. Ken I asked him if he's ever

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Speaker 1: had an avocado? Oh no, I said, do you like avocado?

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Speaker 1: He says, don't think I've had one? Maybe I had? No,

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Speaker 1: I don't know if I've ever had one. It's odd.

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Speaker 1: Have you never had guacamole? No? I never have? What? Well,

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Speaker 1: because it's made of avocado. You don't dip your chips

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Speaker 1: and guacamole, if you? If you, I don't dip my

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Speaker 1: chips just anywhere. Oh wow, you told us it's a scintillating.

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Speaker 1: Shall we go on? I think you guys take over.

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Speaker 1: You started this. I threw it over there, and look

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Speaker 1: what happened to take it back? The answer is zero.

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Speaker 1: There were no Kfi Googpool entries who had Christine McVie

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Speaker 1: of Fleetwood Mac dying in the year twenty twenty two,

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Speaker 1: but that was the news today. I was a bit

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Speaker 1: surprised to see that she was seventy nine because they

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Speaker 1: didn't really start to hit their powerful peak until the

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Speaker 1: mid to late seventies into the eighties. And she was

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Speaker 1: part of a British band yeah in the sixties. Yeah,

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Speaker 1: And then she joined Fleetwood Mac in nineteen seventy, but

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Speaker 1: it was still a number of years before they had

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Speaker 1: it big. She married John McVie, who had already been

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Speaker 1: touring with Fleetwood Mac, but she left the band of

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Speaker 1: ninety eight but came back in twenty fourty. She's never

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Speaker 1: somebody you thought it was being that old. I mean

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Speaker 1: I saw them play just a few years ago, and

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Speaker 1: she just didn't look anywhere near seventy nine. You might

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Speaker 1: have thought maybe somewhere in her fifties. So I don't,

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Speaker 1: I don't, I don't. That's why she isn't not any

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Speaker 1: Google pull picks, because she just didn't have a look

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Speaker 1: like somebody who was elderly. Her original, well, her name

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Speaker 1: when she was born a Christine Perfect. That's quite a name, huh.

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Speaker 1: Born in England in nineteen forty three, Christine Perfect. I

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Speaker 1: love the sound of her voice. Yes, I always overshadowed

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Speaker 1: by Stevie Nicks, who you know, because of her whole,

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Speaker 1: whole appearance and everything he went along with that really

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Speaker 1: got a lot of the attention. Yeah, but she had

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Speaker 1: just a beautiful voice. Then, didn't they all like sleep

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Speaker 1: with each other in that group? I think Lindsay Buckingham

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Speaker 1: and I think everybody eventually nailed everybody by the by

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Speaker 1: the end of it, they But I don't know. This

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Speaker 1: just seem that way, and I hope I'm quick to

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Speaker 1: rescind I don't exactly know this. She always struck me

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Speaker 1: as the most normal out of the group. Yeah, I think. Yeah,

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Speaker 1: I didn't really see much of her. She didn't make

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Speaker 1: a lot of appearances compared to Stevie Nick seem to

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Speaker 1: be everywhere for a while and still is actually performing.

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Speaker 1: But the Fletwood Mac was inducted into the Rocket of

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Speaker 1: Hall of Fame in nineteen ninety eight. Um so Christie

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Speaker 1: if he quit the band for I think about sixteen

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Speaker 1: years because she was too afraid to fly in airplanes. Oh,

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Speaker 1: in fact, for many years she wouldn't take an air.

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Speaker 1: I guess I don't know. Somebody was driving around at

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Speaker 1: a bush and then it's like John mad News to

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Speaker 1: do that, right, yeah, the football, So I guess she

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Speaker 1: would go from I didn't know this until I today.

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Speaker 1: She didn't fly for many years and then finally quit

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Speaker 1: entirely right, mainly over the travel issue. In other breaking

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Speaker 1: news today, which is really kind of funny, Elon Musk

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Speaker 1: has taken over Twitter. The former Twitter executive and a

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Speaker 1: great title, the safety chief anyway, because you know how

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Speaker 1: dangerous it is to post on Twitter, right, I mean

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Speaker 1: you could, you could bleed out, you can get an infection.

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Speaker 1: Terrible safety Wait there is admitted that it was a

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Speaker 1: big mistake to censor the Hunter Biden laptop story from

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Speaker 1: twenty twenty. The New York Post, of course, was the

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Speaker 1: first to splash this story on the scene when apparently

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Speaker 1: a repairman in Delaware was left Hunter Biden's laptop for

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Speaker 1: a period of time nowhere Tom he came back to

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Speaker 1: claim it, so he went public with it, and the

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Speaker 1: Post got some of that information, and outfits like refused

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Speaker 1: to let those stories go very far on their threads,

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Speaker 1: so you know what this is, bs uh. This was

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Speaker 1: they did this on purpose, and they did it for

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Speaker 1: a reason. They knew if the scandal blew up, it

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Speaker 1: might hurt Biden's chances to get It was October too,

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Speaker 1: It was October, and it's one of those last minute

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Speaker 1: stories that eventually, well let me let me do part

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Speaker 1: one first, because part one will lead into part two.

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Speaker 1: Part one is, they did it on purpose. They knew

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Speaker 1: what they were doing. It was premeditated, and they were

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Speaker 1: working with people in the government to do this, all right.

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Speaker 1: They were, they were they were getting visits from the FBI,

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Speaker 1: who was anti Trump, and they were told, we think

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Speaker 1: it's Russian propaganda. Okay, So the whole crowd was in

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Speaker 1: on it. Secondly, now they know it's all going to

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Speaker 1: be exposed because the first thing the Republicans are going

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Speaker 1: to do when they take over next month is they're

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Speaker 1: going to open up hearing investigating, among other things, Hunter Biden,

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Speaker 1: Biden's brother Jim, because Hunter and Jim were the bag men.

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Speaker 1: They were the ones who sold who sold influence to

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Speaker 1: Chinese and Ukrainian interests and Irani who knows, who knows

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Speaker 1: how many countries are involved, but It's like, if you

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Speaker 1: want favorable legislation, if you want a favorable executive order,

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Speaker 1: you give the money to us, and then Joel get

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Speaker 1: a cut down the line. But it's Jim and Hunter

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Speaker 1: who collected the money. That's that's what they did. And

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Speaker 1: so now this is all going to blow sky high.

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Speaker 1: So this little weasel here, this this safety officer, he's

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Speaker 1: getting out ahead of it. The name is Joel Roth. Yeah,

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Speaker 1: he did an interview. You want me to read one

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Speaker 1: of his tweets from twenty sixteen, run after the election

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Speaker 1: when Trump won. Yeah, I'm just saying, we fly over

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Speaker 1: those states that voted for a racist tangerine for a reason. Yeah,

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Speaker 1: he's that guy. Hates half of America hates it. January

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Speaker 1: twenty seventeen, he said feminism is not any not more

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Speaker 1: dangerous than actual Nazis in the White House. So so yeah,

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Speaker 1: so he's an extreme fanatic, anti Trump, anti Republican, anti

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Speaker 1: Red States, anti you know, anybody who doesn't live in

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Speaker 1: his little tech world bubble. So now he knows the

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Speaker 1: day of reckoning is coming. The Republicans are gonna beat

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Speaker 1: him like a pinata, mercilessly for the next two years.

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Speaker 1: That he was the censor who blocked truth, real news,

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Speaker 1: and it was all out of political bias. He was

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Speaker 1: in cohoots with the FBI on it, so was Zuckerberg.

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Speaker 1: Now they're they're they're gonna pound this into the ground,

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Speaker 1: this whole scandal. He knows what's coming, so he's trying

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Speaker 1: to get out in front, saying, WHOA you know, I

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Speaker 1: I wasn't convinced, you know, I wasn't totally my decision.

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Speaker 1: It's like, screw you, buddy. Apparently Musk is hinting that

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Speaker 1: he will release Twitter's internal files. Oh I hope he does.

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Speaker 1: On the whole company free speech suppression, including the Hunter

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Speaker 1: laptop stories. He can either get angry or laugh about

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Speaker 1: how ridiculous they were discussing this back in twenty twenties.

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Speaker 1: I don't care if he's anti Trump. I don't care

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Speaker 1: if he's anti Red States. It's that he's a dishonest

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Speaker 1: jackal is what he is, all right, He's he's a liar,

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Speaker 1: he's a manipulator. Right. They pose like we're trying to

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Speaker 1: stop lies and misinformation, but it's only one side they're

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Speaker 1: doing that on. That's the problem. That's yeah, that's that's right,

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Speaker 1: and that that's what's wrong. It's like, let let regular

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Speaker 1: people decide if if the if the news is real

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Speaker 1: or not. I mean, you're all dishonest. I don't believe

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Speaker 1: anything I read anymore from anybody. You know. I've got

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Speaker 1: to read like fifteen different versions of it and just

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Speaker 1: let it percolate for a while, and even then you

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Speaker 1: don't know if you've got anything near the truth. But

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Speaker 1: I nope, nobody elected this Yoel Wroth. But the who

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Speaker 1: kind of name is that anyway? Yo or Yoel Yoell?

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Speaker 1: Like Joel or Joel I don't know. But what exactly

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Speaker 1: the kind of tech weasel that you imagine working there? Smug,

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Speaker 1: self righteous. I'm going to be in charge of what

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Speaker 1: Americans learned. And they were and they were wrong, and

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Speaker 1: they knew they were wrong. They did this on purpose.

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Speaker 1: They knew they were wrong. They knew that they because

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Speaker 1: if it really was bogus information, right, I would have

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Speaker 1: figured that out really quickly. But it wasn't bogus information.

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Speaker 1: That's why they were terrified of it, because it might

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Speaker 1: might askewed the election by by a few points. I

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Speaker 1: read a funny story yesterday that Dopey showed the view

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Speaker 1: and that loudmouth joy Behar. Yeah. The guest was Samuel L. Jackson,

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Speaker 1: the actor. Yeah, it's notoriously progressive liberal. But he had

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Speaker 1: a good line when she was getting trying to get

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Speaker 1: him all worked up over Twitter and Elon Mush taking over,

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Speaker 1: and she says, do you fear for the future of Twitter?

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Speaker 1: You know what his response was, who cares? It's not

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Speaker 1: the real world, Ignore it. Yeah, it's a great answer.

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Speaker 1: That's right, it's not it's not the real world. Ignore it. Yeah,

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Speaker 1: now people get all worked up. Now the future of

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Speaker 1: Twitter is at stake. I know it's all these weird

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Speaker 1: left wing goofs and journalists who spend their whole day

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Speaker 1: on Twitter. I read these stories, they act like it's

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Speaker 1: it's it's it's like some living, breathing organism that they're

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Speaker 1: all part of. It's their life blood, it's the central

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Speaker 1: god of their existence. Crazy and they feel like, all

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Speaker 1: this is how we get the real uncensored opinions and

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Speaker 1: news from people. But that's not except when it's censored.

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Speaker 1: All right, we got more coming up, John and Ken

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Speaker 1: kf I am six forty live everywhere in the iHeartRadio app.

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Speaker 1: The day after tomorrow, the moist Line is back on

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Speaker 1: The John and Ken Show, and not only that it

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Speaker 1: hasn't played in two weeks. It will be the Christmas

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Speaker 1: music version of the John and Ken moist Line, with

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Speaker 1: the crazy background music being devoted to I don't know,

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Speaker 1: jingle bells. We need, we need more contributions. We do.

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Speaker 1: He took the holiday off last week, so yeah, we

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Speaker 1: didn't work a couple of days, so, you know, not

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Speaker 1: thinking our tuning in as much. The iHeartRadio app is

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Speaker 1: one way to connect to the moist Line. Look for

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Speaker 1: the microphone icon and leave your message. Call the old

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Speaker 1: toll free number. It's there. Any time of the day

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Speaker 1: or night. You've had too much to drink, You've got

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Speaker 1: something to say. One eight seven to seven moist eighty

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Speaker 1: six one eight seven seven six six four seven eighty

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Speaker 1: eight six. Well back to the border in a surprise.

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Speaker 1: I didn't know this case was going to the US

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Speaker 1: Supreme Court, but they did hear the arguments yesterday. And

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Speaker 1: this is about and we saw this one Obama was president,

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Speaker 1: change when Trump became president. Now we're back to Biden

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Speaker 1: was basically Obama. It's about who gets deported. It was

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Speaker 1: a directive issued from the Department of Homeland Security that

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Speaker 1: paused deportation unless individuals had committed acts of terrorism, espionage,

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Speaker 1: or egregious threats to public safety whatever the hell that

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Speaker 1: which means Biden's plan is to leave ninety nine point

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Speaker 1: nine percent of the illegals alone, which is basically an amnesty. Yeah. Trump,

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Speaker 1: of course, remove people regardless of criminal history or community ties.

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Speaker 1: That was the order. So this got challenged by a

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Speaker 1: number of states. Leading the way, of course, was Texas.

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Speaker 1: And who actually was a judge, a federal judge who

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Speaker 1: agreed with Texas and froze the implementation of the Department

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Speaker 1: of Homeland Securities new deportation policy. And that's why it's

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Speaker 1: ended up at the US Supreme Court, which decided to

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Speaker 1: take the case. The person that argued for the Biden

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Speaker 1: administration throughout one that you always hear, well, you know,

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Speaker 1: we don't have we don't have enough resources to possibly

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Speaker 1: deport eleven million immigrants living in this country illegally. We

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Speaker 1: cannot do. We cannot have an unliving mandate. Well, no kidding,

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Speaker 1: But at the same time, you don't do zero exactly,

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Speaker 1: because which is what they wanted to do. Although remember

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Speaker 1: the US to call Obama deporter in chief, he would

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Speaker 1: he would deport a fair number of people. He would

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Speaker 1: play the middle on uncertain issues, especially when he wanted

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Speaker 1: to get reelected. Yes, right to make a point, right, Yeah.

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Speaker 1: And the Texas solicitor General, who is arguing Texas's case,

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Speaker 1: because they were among those who sued, said the administration

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Speaker 1: is violating federal law that requires deportation of people in

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Speaker 1: the US illegally and who've been convicted of any serious crime,

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Speaker 1: not just the most serious. So what he's saying, Hey,

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Speaker 1: this is the law. If they've committed a serious crime,

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Speaker 1: they're gone. And Biden's administration is saying, no, no, no,

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Speaker 1: it's got to be terrorism, it's got to be you know, espionage,

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Speaker 1: and and so it's kind of this tricky gray area.

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Speaker 1: What does the law require you to do, because one

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Speaker 1: of the attorneys for Biden said that there's nothing which

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Speaker 1: is an unyielding mandate. In other words, there's no language

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Speaker 1: that said this is an absolute order to remove anybody. See,

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Speaker 1: it's that discretionary gray area that they're fighting over now,

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Speaker 1: and they're fighting over over the way, over the language

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Speaker 1: in these laws. Yeah, it's They were asked how many

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Speaker 1: people would this potentially affect well somewhere from sixty thousand

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Speaker 1: to eighty thousand. All right, And having all said whatever,

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Speaker 1: the real number is the resources just aren't there to

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Speaker 1: do this. But that's not your job to figure out.

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Speaker 1: If you have a policy which limits the types of

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Speaker 1: people who can be deported, that's clearly an attempt to

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Speaker 1: give amnesty to most illegal recres and this is and

423
00:24:51,080 --> 00:24:53,760
Speaker 1: they if you do not have the resources to support everybody,

424
00:24:53,800 --> 00:24:56,439
Speaker 1: then don't deport everybody, but deport as many people as

425
00:24:56,480 --> 00:24:59,800
Speaker 1: you can, as that's the law. And also they intention

426
00:25:00,000 --> 00:25:06,760
Speaker 1: only do not fund immigration to deport people. Right, there's

427
00:25:06,800 --> 00:25:09,560
Speaker 1: not enough resources because they're not given the budget, they're

428
00:25:09,560 --> 00:25:12,240
Speaker 1: not given the personnel, they don't do the hiring, they

429
00:25:12,240 --> 00:25:15,280
Speaker 1: don't have the infrastructure built up. If you wanted to

430
00:25:15,320 --> 00:25:18,199
Speaker 1: do it, you do it. But they don't want to.

431
00:25:18,359 --> 00:25:21,000
Speaker 1: So they can always claim we don't have the manpower.

432
00:25:21,080 --> 00:25:23,240
Speaker 1: Oh yeah, you do have the manpower. When it was

433
00:25:23,240 --> 00:25:26,119
Speaker 1: time to invade Afghanistan for twenty years, you found the

434
00:25:26,160 --> 00:25:30,120
Speaker 1: money in the manpower. So that's another load horse crap.

435
00:25:30,440 --> 00:25:35,720
Speaker 1: John Roberts, who's the Chief Justice, he said it's our

436
00:25:35,800 --> 00:25:38,520
Speaker 1: job to say what the law is not whether or

437
00:25:38,560 --> 00:25:42,080
Speaker 1: not it could be possibly implemented, or whether that's exactly

438
00:25:42,080 --> 00:25:44,000
Speaker 1: what I just said. Right, you can't sit there and

439
00:25:44,000 --> 00:25:45,840
Speaker 1: try to sort out whether it's too many people to

440
00:25:45,880 --> 00:25:48,439
Speaker 1: deport or what it's the laws the law, and do

441
00:25:48,520 --> 00:25:50,720
Speaker 1: what you can do. I don't think we should change

442
00:25:50,720 --> 00:25:54,240
Speaker 1: that responsibility just because Congress and the Executive can't agree

443
00:25:54,240 --> 00:25:56,359
Speaker 1: on something. I don't think we should let them off

444
00:25:56,359 --> 00:26:01,440
Speaker 1: the hook. Right, So do the you can. Let's start

445
00:26:01,520 --> 00:26:03,960
Speaker 1: with Since you can't do the eleven million, let's do

446
00:26:04,080 --> 00:26:07,880
Speaker 1: the sixty to eighty thousand criminals, convicted criminals. Let's start

447
00:26:07,880 --> 00:26:11,920
Speaker 1: with that crowd and then report back to us. There

448
00:26:12,000 --> 00:26:13,800
Speaker 1: was also a discussion as to whether or not a

449
00:26:13,840 --> 00:26:18,200
Speaker 1: state like Texas has the standing in this case. But clearly,

450
00:26:18,240 --> 00:26:23,000
Speaker 1: a state like Texas is severely impacted by illegal immigration,

451
00:26:23,680 --> 00:26:26,920
Speaker 1: both in terms of tax money and resources. Of course

452
00:26:26,960 --> 00:26:28,879
Speaker 1: they have standing, But everyone likes to say that what

453
00:26:29,000 --> 00:26:31,720
Speaker 1: standing do you have to bring this case to court?

454
00:26:31,960 --> 00:26:34,240
Speaker 1: How are you impacted by this? You're not an illegal

455
00:26:34,280 --> 00:26:36,760
Speaker 1: immigrant and you're not a victim of crime by the

456
00:26:36,800 --> 00:26:39,800
Speaker 1: illegal immigrant. But it's really a matter of whether or

457
00:26:39,840 --> 00:26:43,040
Speaker 1: not the Texas is getting an undue birth. They have

458
00:26:43,119 --> 00:26:46,480
Speaker 1: been fighting about this now for almost twenty years. I

459
00:26:46,560 --> 00:26:54,560
Speaker 1: realize that almost twenty years since since Bush opened the gates. Yeah,

460
00:26:54,680 --> 00:26:58,600
Speaker 1: this was Texas and Louisiana. Yeah, the Sodomayor and Kagan

461
00:26:58,640 --> 00:27:01,320
Speaker 1: were two judges that just thought, oh, you're entitled to

462
00:27:01,320 --> 00:27:04,440
Speaker 1: bring this case. You have no standing in this court,

463
00:27:04,760 --> 00:27:07,840
Speaker 1: that usual BS argument. All right, we got more coming up,

464
00:27:07,880 --> 00:27:10,960
Speaker 1: John and Ken KF I am six forty live everywhere

465
00:27:10,960 --> 00:27:13,520
Speaker 1: on the iHeartRadio app. Remember earlier this hour we had

466
00:27:13,520 --> 00:27:15,840
Speaker 1: Mark Casses from the auto insurance specialists on right, They're

467
00:27:15,840 --> 00:27:18,200
Speaker 1: gonna match donations up to twenty five hundred dollars this hour.

468
00:27:18,240 --> 00:27:22,040
Speaker 1: That's happened. All right. We've been told that so far

469
00:27:22,080 --> 00:27:24,719
Speaker 1: there's almost been ten thousand dollars donated to the PASTA

470
00:27:24,760 --> 00:27:31,160
Speaker 1: thought just this hour, that's what I'm reading. Yes, that's

471
00:27:31,160 --> 00:27:38,160
Speaker 1: pretty that's pretty good. You're amazing that people are generous listeners.

472
00:27:39,760 --> 00:27:42,600
Speaker 1: I can always tell when you are actually legitimately confounded.

473
00:27:42,640 --> 00:27:45,800
Speaker 1: On that time you were really the voice had this disbelief.

474
00:27:45,840 --> 00:27:49,520
Speaker 1: That's right. I'm that's just fun. People actually gave that

475
00:27:49,680 --> 00:27:53,399
Speaker 1: much this hour. Wow, Yes, John, people want to have children.

476
00:27:53,560 --> 00:27:57,000
Speaker 1: People are good. People are good. They want to feed

477
00:27:57,040 --> 00:28:01,639
Speaker 1: poor children. Wow, yeah, well we have more good news.

478
00:28:03,000 --> 00:28:08,600
Speaker 1: Heads are rolling at CNN. Ah yeah, yeah, I'm afraid CNN. Well,

479
00:28:08,640 --> 00:28:11,639
Speaker 1: of course they're part of them, glam Or, At, Warner Brothers, Discovery.

480
00:28:12,320 --> 00:28:15,960
Speaker 1: I can't even keep track any more of who owns what. Well,

481
00:28:15,960 --> 00:28:18,359
Speaker 1: I know they took ownership of CNN from AT and

482
00:28:18,440 --> 00:28:22,800
Speaker 1: T earlier this year. I didn't even know that. Uh yeah,

483
00:28:22,840 --> 00:28:24,560
Speaker 1: A T and T. I think I'm an AT and

484
00:28:24,600 --> 00:28:27,040
Speaker 1: T and customer. I would have canceled if I knew

485
00:28:27,040 --> 00:28:31,240
Speaker 1: the own A. T and T bought Time Warner years ago,

486
00:28:33,280 --> 00:28:36,040
Speaker 1: and then they spun it off and I got spun

487
00:28:36,280 --> 00:28:42,600
Speaker 1: right into Discovery. Everything I saw it spinning by, you know,

488
00:28:43,000 --> 00:28:45,280
Speaker 1: the wizards that up behind this. I remember when this

489
00:28:45,440 --> 00:28:48,960
Speaker 1: started in huge fashion, and like was it the eighties,

490
00:28:48,960 --> 00:28:51,440
Speaker 1: all of the mergers and acquisitions, It just went nuts

491
00:28:51,480 --> 00:28:55,360
Speaker 1: and people taken over others and sending the spinning off companies.

492
00:28:55,360 --> 00:28:58,560
Speaker 1: And did did I tell you that this business story

493
00:28:58,600 --> 00:29:01,160
Speaker 1: I read which I didn't know because I didn't really

494
00:29:01,160 --> 00:29:03,840
Speaker 1: pay attention to this about about AT and T taking

495
00:29:03,840 --> 00:29:05,880
Speaker 1: over Time Warner and then getting up Time Warner and

496
00:29:05,920 --> 00:29:09,120
Speaker 1: then Discovery merging. There was this long story A few

497
00:29:09,160 --> 00:29:12,360
Speaker 1: days ago about all the business executives and all the

498
00:29:12,440 --> 00:29:19,200
Speaker 1: bad decisions they made, and one of the decisions, this

499
00:29:19,400 --> 00:29:22,280
Speaker 1: one executive. It was their obsession, this is what we

500
00:29:22,360 --> 00:29:25,760
Speaker 1: have to do, and it was something to do with

501
00:29:25,840 --> 00:29:29,160
Speaker 1: Time Warner and CNN, and everybody said, no, don't do that, No,

502
00:29:29,280 --> 00:29:31,560
Speaker 1: don't do No, that's not gonna work, don't do that.

503
00:29:33,000 --> 00:29:35,440
Speaker 1: Then they do it. It lost a ton of money

504
00:29:35,440 --> 00:29:36,840
Speaker 1: and it's like, ah, now we got to get rid

505
00:29:36,880 --> 00:29:38,960
Speaker 1: of it. Oh jeez, what a bad smell in here.

506
00:29:39,200 --> 00:29:42,200
Speaker 1: And then you know, everybody gets fired and reassigned as

507
00:29:43,160 --> 00:29:45,480
Speaker 1: these guys are not geniuses there. It was a tough

508
00:29:45,560 --> 00:29:48,040
Speaker 1: year for CNN. They pulled the plug on CNN Plus,

509
00:29:48,040 --> 00:29:52,000
Speaker 1: their streaming service after only a month, right because nobody

510
00:29:52,120 --> 00:29:55,320
Speaker 1: signed invested three hundred million dollars in it. No, and

511
00:29:55,360 --> 00:29:57,520
Speaker 1: they got like fifty people to sign up for it

512
00:29:57,840 --> 00:30:01,320
Speaker 1: because nobody was watching the regular c THEN channel, so

513
00:30:01,320 --> 00:30:03,720
Speaker 1: why would you pay for a ride for more content?

514
00:30:03,840 --> 00:30:05,920
Speaker 1: And there wasn't even news on it. That was just

515
00:30:06,000 --> 00:30:08,840
Speaker 1: these weird talk shows they were gonna put on, hosted

516
00:30:08,880 --> 00:30:11,640
Speaker 1: by people he had ever heard of. On topics, you know,

517
00:30:11,760 --> 00:30:14,479
Speaker 1: there was Roll Anderson Cooper or something or yeah, Anderson

518
00:30:14,560 --> 00:30:17,120
Speaker 1: Cooper is now about eighty percent of the network. The network,

519
00:30:17,200 --> 00:30:21,160
Speaker 1: isn't he? Uh? Is? Wolf Blitzer is still there? Yes,

520
00:30:21,640 --> 00:30:27,640
Speaker 1: he is still there. He is immovable. Yeah. I felt

521
00:30:27,640 --> 00:30:29,880
Speaker 1: like he was seventy years old fifty thirty years ago,

522
00:30:29,960 --> 00:30:36,000
Speaker 1: but he was. He's now one hundred and eight. Well

523
00:30:36,040 --> 00:30:38,520
Speaker 1: what did they went all? They went all anti Trump,

524
00:30:38,800 --> 00:30:42,080
Speaker 1: and well they went all woke, and so they went broke.

525
00:30:42,920 --> 00:30:45,360
Speaker 1: And well they're saying that this is also coming from above.

526
00:30:45,480 --> 00:30:50,720
Speaker 1: Warner Brothers. Discovery is requiring these layoffs in many of

527
00:30:50,760 --> 00:30:52,600
Speaker 1: its companies. They've already laid off a thousand in place

528
00:30:52,680 --> 00:30:56,000
Speaker 1: in April because CNN's not they have big debt. CNN

529
00:30:56,120 --> 00:30:59,200
Speaker 1: is not making the money it used to because their

530
00:30:59,240 --> 00:31:01,320
Speaker 1: audience is far below what it used to be. They

531
00:31:01,320 --> 00:31:07,480
Speaker 1: blew their credibility. They did in twenty sixteen. They followed

532
00:31:07,480 --> 00:31:09,480
Speaker 1: Trump everywhere, and I guess they got a little push

533
00:31:09,480 --> 00:31:12,200
Speaker 1: in the numbers, and they continue to do that. Then

534
00:31:12,200 --> 00:31:15,400
Speaker 1: they went after them and for four years they became

535
00:31:15,400 --> 00:31:17,640
Speaker 1: a place to go to for all your anti Trump news.

536
00:31:17,880 --> 00:31:20,680
Speaker 1: That's all over, whether it was fake or true. Right,

537
00:31:20,760 --> 00:31:24,160
Speaker 1: impeach this, impeaches that. Yeah, but it's over. Trump's over.

538
00:31:25,080 --> 00:31:28,000
Speaker 1: The whole thing's over. They don't have the big boogeyman anymore,

539
00:31:28,320 --> 00:31:34,160
Speaker 1: so they don't know what to do and nobody believes them. No,

540
00:31:35,800 --> 00:31:37,880
Speaker 1: they are getting rid of a number of what they

541
00:31:37,960 --> 00:31:42,120
Speaker 1: call paid contributors. Would that be like the analysts and

542
00:31:42,200 --> 00:31:46,120
Speaker 1: specialists to come on and yeah, those talking heads, those

543
00:31:46,280 --> 00:31:48,880
Speaker 1: infinite number of talking head when you see the screen

544
00:31:48,880 --> 00:31:52,200
Speaker 1: divide into like eight heads, and all those people are

545
00:31:52,280 --> 00:31:55,240
Speaker 1: hired as long as they say what the producer wants

546
00:31:55,280 --> 00:31:58,920
Speaker 1: them to say, because they want to create fake conflict.

547
00:31:59,040 --> 00:32:02,160
Speaker 1: So you have to you're taking the pro seat, and

548
00:32:02,160 --> 00:32:04,680
Speaker 1: then somebody else takes the anti seat, and if you

549
00:32:04,760 --> 00:32:07,600
Speaker 1: have any kind of a nuanced outlook at an issue,

550
00:32:08,560 --> 00:32:11,080
Speaker 1: then they don't want you. I can't say that. Or

551
00:32:11,520 --> 00:32:13,440
Speaker 1: if you if you want to go on there and

552
00:32:13,640 --> 00:32:16,600
Speaker 1: go against the party line, they don't want to hear.

553
00:32:16,840 --> 00:32:20,120
Speaker 1: It's just nonsense. It's just it's just for elderly people

554
00:32:20,120 --> 00:32:22,760
Speaker 1: in nursing homes. This could be soft proof though that

555
00:32:22,800 --> 00:32:25,520
Speaker 1: we are slowly heading into some type of recession. Disney's

556
00:32:25,560 --> 00:32:27,880
Speaker 1: going to lay off people. I mean, eventually this takes

557
00:32:27,880 --> 00:32:30,640
Speaker 1: a toll because when you lay off people and they're

558
00:32:30,640 --> 00:32:32,680
Speaker 1: not spending as much money as they did in the economy.

559
00:32:33,160 --> 00:32:36,640
Speaker 1: That has to have an effect overall. People can't subscribe

560
00:32:36,640 --> 00:32:41,400
Speaker 1: to ten different streaming services. Did a plus has lost

561
00:32:41,440 --> 00:32:43,720
Speaker 1: more than eight billion dollars over the past three years.

562
00:32:43,840 --> 00:32:48,600
Speaker 1: I mean, there's so many things to watch you can't

563
00:32:48,640 --> 00:32:52,440
Speaker 1: watch them. So eventually some of them have to die, right,

564
00:32:52,440 --> 00:32:55,080
Speaker 1: they have to die. Yeah, I only got two eyes,

565
00:32:56,160 --> 00:32:58,520
Speaker 1: and I want to spend my whole life watching screens.

566
00:32:58,560 --> 00:33:04,840
Speaker 1: I mean I I have that same problem. I have

567
00:33:04,880 --> 00:33:07,080
Speaker 1: a number of steaming services, and I'm like, sometimes it's

568
00:33:07,120 --> 00:33:09,080
Speaker 1: just too much. I've put it on the screen and

569
00:33:09,120 --> 00:33:10,760
Speaker 1: they show you all the programs and you can flip

570
00:33:10,800 --> 00:33:12,600
Speaker 1: through it. It's like my eyes just start to If

571
00:33:12,640 --> 00:33:15,040
Speaker 1: there's one show that I really want to see, my

572
00:33:15,040 --> 00:33:16,600
Speaker 1: wife and I want to see and it's like eight

573
00:33:16,680 --> 00:33:19,000
Speaker 1: or ten episodes, will sign up for a month, watch

574
00:33:19,040 --> 00:33:21,240
Speaker 1: it and then cancel. Oh that's a good idea. Yeah,

575
00:33:21,520 --> 00:33:23,640
Speaker 1: but I'm not gonna have the things sit there for

576
00:33:23,680 --> 00:33:26,480
Speaker 1: six months and give them another eight dollars every month

577
00:33:26,600 --> 00:33:28,400
Speaker 1: when there's just a load of hooeye on. That's what

578
00:33:28,440 --> 00:33:30,000
Speaker 1: they want you to do. Just sign up and forget

579
00:33:30,040 --> 00:33:33,200
Speaker 1: about that. I know that's the plan. Well, I'm smarter

580
00:33:33,280 --> 00:33:37,880
Speaker 1: than that. Oh sometimes Conway's here. Yeah, but that's smart. Yeah,

581
00:33:38,160 --> 00:33:39,600
Speaker 1: ding dong. You know that's what people do. I like

582
00:33:39,600 --> 00:33:41,360
Speaker 1: we do. We sign up for things, then we just

583
00:33:41,520 --> 00:33:44,000
Speaker 1: you know, we ignore it and it's just another eight

584
00:33:44,040 --> 00:33:46,120
Speaker 1: bucks a month or whatever. And it irritates me every

585
00:33:46,120 --> 00:33:48,760
Speaker 1: time I see the credit card bill exactly. It's when

586
00:33:48,800 --> 00:33:50,720
Speaker 1: you go through the credit card line line by one.

587
00:33:50,720 --> 00:33:52,760
Speaker 1: It's like, I found this a couple of things I

588
00:33:52,880 --> 00:33:55,000
Speaker 1: subscribe to online. It's like, what is this? I haven't

589
00:33:55,000 --> 00:33:56,960
Speaker 1: looked at this in three years? I know the same

590
00:33:57,000 --> 00:33:59,080
Speaker 1: way I got. I got screwed by one of the

591
00:33:59,640 --> 00:34:03,880
Speaker 1: credit reporting companies. They charged twenty nine ninety nine to

592
00:34:04,080 --> 00:34:06,880
Speaker 1: monitor your credit. Like that's what they're supposed to do anyway.

593
00:34:07,040 --> 00:34:10,440
Speaker 1: A month, yeah, a month. And I evidently I signed

594
00:34:10,520 --> 00:34:12,480
Speaker 1: up for when I was, you know, searching for my credit.

595
00:34:12,480 --> 00:34:14,000
Speaker 1: But I know I didn't because I would never have

596
00:34:14,040 --> 00:34:16,040
Speaker 1: signed up for you know, twenty nine nine nights. It's

597
00:34:16,080 --> 00:34:21,480
Speaker 1: probably about a month run it, right, So I said,

598
00:34:21,520 --> 00:34:23,399
Speaker 1: I said, look, you gotta give me some money back.

599
00:34:23,440 --> 00:34:25,360
Speaker 1: They gave me like fifteen dollars back, but it was

600
00:34:25,400 --> 00:34:27,040
Speaker 1: on for two, like for a year. I went back

601
00:34:27,040 --> 00:34:29,400
Speaker 1: and saw it for an entire year, sound like three

602
00:34:30,120 --> 00:34:33,799
Speaker 1: eighty bucks. It was horrible, So I I got even

603
00:34:33,800 --> 00:34:36,680
Speaker 1: with them though I I talked about them on the air,

604
00:34:38,520 --> 00:34:40,759
Speaker 1: didn't mentioned their name, but you know they know who

605
00:34:40,800 --> 00:34:44,960
Speaker 1: they are. They felt it. Um, we have all the

606
00:34:45,040 --> 00:34:47,839
Speaker 1: numbers from last night. It was a great turnout last night.

607
00:34:47,960 --> 00:34:50,680
Speaker 1: Plus we have a family that's gonna match in the

608
00:34:50,719 --> 00:34:53,680
Speaker 1: seven o'clock hour from seven to eight. Is gonna match

609
00:34:53,800 --> 00:34:57,360
Speaker 1: every dollar donated up to ten thousand bucks. Ten thousand

610
00:34:57,480 --> 00:35:02,000
Speaker 1: yeah for them family. Yeah, a family is that the Getties?

611
00:35:02,000 --> 00:35:04,600
Speaker 1: Who is it? We will have the name here in

612
00:35:04,600 --> 00:35:09,080
Speaker 1: a second really generous flying in here. Someone took no,

613
00:35:09,120 --> 00:35:11,319
Speaker 1: we'll get it. Um. But anyway, so and then um

614
00:35:11,560 --> 00:35:14,560
Speaker 1: we have um, I just the recap of last night.

615
00:35:14,560 --> 00:35:17,680
Speaker 1: It was really terrific. Everybody showed up. He's normally closed

616
00:35:17,680 --> 00:35:19,319
Speaker 1: on a Tuesday night, but he opened up just for

617
00:35:19,400 --> 00:35:22,760
Speaker 1: this and it was giving Tuesday. Yeah, it was packed.

618
00:35:22,760 --> 00:35:26,680
Speaker 1: It really was. No. No, no, it doesn't like to

619
00:35:26,719 --> 00:35:28,440
Speaker 1: be a whole year now till I hear no. I

620
00:35:28,480 --> 00:35:31,239
Speaker 1: remember I was at Smart and Final yesterday when when

621
00:35:31,320 --> 00:35:34,239
Speaker 1: Ken said he just, uh, you know, I donated a

622
00:35:34,320 --> 00:35:36,400
Speaker 1: check today. He just it happened to be today, but

623
00:35:36,440 --> 00:35:38,640
Speaker 1: he was gonna do it anyway. Then you kept asking

624
00:35:38,719 --> 00:35:40,400
Speaker 1: what charity it was. He's like, I don't have to

625
00:35:40,440 --> 00:35:42,759
Speaker 1: tell you what charity. Didn't tell you, well, I want

626
00:35:42,760 --> 00:35:44,520
Speaker 1: to see if it's legitimate or no. I don't want

627
00:35:44,520 --> 00:35:49,040
Speaker 1: to pick yeah, I decide what charity. Maybe you're just

628
00:35:49,200 --> 00:35:52,440
Speaker 1: virtue signaling, right. And then everybody was eating s cargo

629
00:35:52,560 --> 00:35:55,759
Speaker 1: last night. Gross, you did not I did not, No way, man,

630
00:35:56,440 --> 00:35:59,319
Speaker 1: no way, but people or eat people ordering it and

631
00:35:59,400 --> 00:36:02,560
Speaker 1: eating it and uh and we asked last night. I mean,

632
00:36:02,680 --> 00:36:04,400
Speaker 1: you know, you look at the menu and there's steaks,

633
00:36:04,480 --> 00:36:08,239
Speaker 1: there's pasta, there's fish, there's all kinds of dishes. What

634
00:36:08,360 --> 00:36:13,400
Speaker 1: did you pass on before you ordered snails? Good question?

635
00:36:13,480 --> 00:36:16,319
Speaker 1: You know what did you say? No way too? Right now,

636
00:36:16,360 --> 00:36:21,799
Speaker 1: I don't get a mental competency test. Every dad dog,

637
00:36:21,920 --> 00:36:27,040
Speaker 1: give me the snails. Keep it going, pasta don done.

638
00:36:27,360 --> 00:36:30,160
Speaker 1: CAPI campis d HD two Los Angeles, Orange County Live

639
00:36:30,200 --> 00:36:31,600
Speaker 1: everywhere in the iHeartRadio app