1
00:00:13,560 --> 00:00:15,960
Speaker 1: At the end of the day, women's sports needs clear

2
00:00:16,079 --> 00:00:20,280
Speaker 1: rules and this just puts some guardrails back in place.

3
00:00:20,480 --> 00:00:24,360
Speaker 1: You've got the International Olympic Committee the IOC announcing a

4
00:00:24,400 --> 00:00:29,000
Speaker 1: new policy to protect the women's category in Olympic sports.

5
00:00:29,040 --> 00:00:33,519
Speaker 1: Here's the biggest change. Only athletes classified as biological females

6
00:00:33,560 --> 00:00:37,479
Speaker 1: can compete in women's events. And how is this going

7
00:00:37,520 --> 00:00:39,400
Speaker 1: to be determined? Well, the athletes are going to have

8
00:00:39,440 --> 00:00:44,120
Speaker 1: to undergo a one time genetic test. The IOC says.

9
00:00:44,159 --> 00:00:48,919
Speaker 1: The goal is fairness and competitive balance, and they're addressing

10
00:00:49,000 --> 00:00:54,160
Speaker 1: the perceived biological advantages after male puberty. Of course, Donald

11
00:00:54,160 --> 00:00:59,160
Speaker 1: Trump was praising this historic ban on men in women's sports.

12
00:00:59,200 --> 00:01:03,000
Speaker 1: He said, con gratulations to the International Olympic Committee. It's

13
00:01:03,040 --> 00:01:07,760
Speaker 1: only happening because of his powerful executive order standing up

14
00:01:07,800 --> 00:01:11,120
Speaker 1: for women and girls. So you had Trump who signed

15
00:01:11,160 --> 00:01:14,400
Speaker 1: the executive order. The IOC then folded, and now he

16
00:01:14,480 --> 00:01:16,959
Speaker 1: gets to take credit for it. Female athletes around the

17
00:01:16,959 --> 00:01:20,640
Speaker 1: world are getting their sports back. It's a win in

18
00:01:20,680 --> 00:01:22,600
Speaker 1: my book, how.

19
00:01:22,959 --> 00:01:25,640
Speaker 2: Did we get here to where this is? Like?

20
00:01:25,840 --> 00:01:28,600
Speaker 3: And I agree, this is a massive win. Shouldn't have

21
00:01:28,640 --> 00:01:30,600
Speaker 3: ever been a fight to start with. I mean, this

22
00:01:30,760 --> 00:01:33,280
Speaker 3: is like the most common sense. You read this headline,

23
00:01:33,319 --> 00:01:36,360
Speaker 3: you're like, well, duh, how come we weren't doing this

24
00:01:36,440 --> 00:01:39,520
Speaker 3: the whole time? And by the way, I want to

25
00:01:39,560 --> 00:01:43,959
Speaker 3: point out how awful of a job the liberal media

26
00:01:44,040 --> 00:01:47,280
Speaker 3: did on reporting this story yesterday, because almost every headline

27
00:01:47,280 --> 00:01:50,040
Speaker 3: that you will read from a mainstream media source yesterday

28
00:01:50,040 --> 00:01:54,240
Speaker 3: talked about how that the IOC is banning, you know,

29
00:01:54,320 --> 00:01:56,680
Speaker 3: trans women from competing in the Olympics.

30
00:01:56,760 --> 00:01:59,680
Speaker 1: How about protecting women's sports being the headline.

31
00:01:59,360 --> 00:02:03,240
Speaker 2: Simpler than that. No, they're not banning them. They're just saying,

32
00:02:03,240 --> 00:02:06,040
Speaker 2: if you're a dude, you got to play with the dudes.

33
00:02:06,200 --> 00:02:07,000
Speaker 2: That's all they're saying.

34
00:02:07,000 --> 00:02:09,760
Speaker 3: If so, if you're if you consider yourself a trans

35
00:02:09,840 --> 00:02:12,160
Speaker 3: woman and you want to compete in the Olympics, you can.

36
00:02:12,760 --> 00:02:15,239
Speaker 3: You just got to compete as a man. So they're

37
00:02:15,280 --> 00:02:19,080
Speaker 3: technically not banned from anything. And let's be honest, sex

38
00:02:19,120 --> 00:02:21,720
Speaker 3: and gender are not a social construct. If you're a

39
00:02:21,880 --> 00:02:24,480
Speaker 3: dude and you put on a dress, that doesn't make

40
00:02:24,480 --> 00:02:25,040
Speaker 3: you a woman.

41
00:02:25,080 --> 00:02:26,480
Speaker 2: Now you can do that. And that's saying I see

42
00:02:26,480 --> 00:02:28,760
Speaker 2: a dude in a dress, Yeah, and you can do that.

43
00:02:28,760 --> 00:02:30,280
Speaker 2: That's a great thing about this country.

44
00:02:30,280 --> 00:02:32,040
Speaker 3: We have so much freedom in this country that if

45
00:02:32,040 --> 00:02:33,639
Speaker 3: you're a dude and you want to wear a dress

46
00:02:33,680 --> 00:02:35,720
Speaker 3: and you want to call yourself a woman, you can

47
00:02:35,760 --> 00:02:36,080
Speaker 3: do that.

48
00:02:36,520 --> 00:02:37,799
Speaker 2: But I do not have to.

49
00:02:37,720 --> 00:02:40,240
Speaker 3: Play along with your make believe and the idea that

50
00:02:40,280 --> 00:02:43,400
Speaker 3: we've seen all of these weather they're government institutions or

51
00:02:43,600 --> 00:02:47,560
Speaker 3: you know, larger global institutions like the International Olympic Committee

52
00:02:47,720 --> 00:02:52,080
Speaker 3: played along with that delusion for so many years. I

53
00:02:52,200 --> 00:02:54,600
Speaker 3: just can't believe that we've gotten to this point. And

54
00:02:54,639 --> 00:02:57,080
Speaker 3: you're right, this is a win, but it seems like

55
00:02:57,120 --> 00:02:58,600
Speaker 3: it's a fight that we never should have had to

56
00:02:58,600 --> 00:02:59,480
Speaker 3: make in the first place.

57
00:03:00,200 --> 00:03:04,000
Speaker 1: The same IOC announces this. Now, keep in mind that

58
00:03:04,040 --> 00:03:06,920
Speaker 1: they let a biological male punch a woman in the

59
00:03:07,000 --> 00:03:10,280
Speaker 1: face at the Paris Olympics, so better late than never.

60
00:03:10,360 --> 00:03:13,840
Speaker 1: But let's not pretend that they're being courageous about this.

61
00:03:13,840 --> 00:03:17,280
Speaker 1: This is pressure. This is because of Donald Trump's pressure

62
00:03:17,320 --> 00:03:20,120
Speaker 1: on them. This is going to apply to the future Olympics,

63
00:03:20,160 --> 00:03:24,760
Speaker 1: which includes the LA twenty eight Olympics and the athletes

64
00:03:24,880 --> 00:03:29,200
Speaker 1: who don't qualify for the women's category because the genetic testing,

65
00:03:29,480 --> 00:03:33,720
Speaker 1: they can still compete, not bad in men's or what

66
00:03:33,760 --> 00:03:38,480
Speaker 1: they're calling open categories. Don't know what the open category is,

67
00:03:39,120 --> 00:03:41,360
Speaker 1: but they still can't compete.

68
00:03:41,400 --> 00:03:44,080
Speaker 3: Well, part of this is the IOC just looked like

69
00:03:44,280 --> 00:03:47,120
Speaker 3: fools after the twenty twenty four Summer Games. You referenced

70
00:03:47,240 --> 00:03:51,360
Speaker 3: about that female boxer and when it happened, everybody was claiming, no, no, no,

71
00:03:51,640 --> 00:03:55,040
Speaker 3: she's a woman. She just is really, really good, and

72
00:03:55,320 --> 00:03:57,480
Speaker 3: she was beaten all these other women to a bloody

73
00:03:57,480 --> 00:03:59,800
Speaker 3: pulp and ended up, you know, winning a medal. And

74
00:04:00,080 --> 00:04:02,640
Speaker 3: then it turns out a year and a half afterwards,

75
00:04:02,800 --> 00:04:04,480
Speaker 3: oh no, no, no, it turned out she was a man

76
00:04:04,560 --> 00:04:06,840
Speaker 3: the whole time. And despite the fact that the liberal

77
00:04:06,880 --> 00:04:08,800
Speaker 3: media was pushing the fact that she was a woman

78
00:04:09,000 --> 00:04:11,320
Speaker 3: and the ius IOC was kind of neutral on all this,

79
00:04:11,360 --> 00:04:13,600
Speaker 3: so they walked away from the twenty twenty four Olympics

80
00:04:13,800 --> 00:04:16,400
Speaker 3: really looking like idiots. And while Donald Trump does like

81
00:04:16,480 --> 00:04:19,680
Speaker 3: to take credit for everything, I think that you can

82
00:04:19,839 --> 00:04:22,880
Speaker 3: give him some of the credit in this instance because

83
00:04:22,880 --> 00:04:25,000
Speaker 3: when he got elected, that was one of the first

84
00:04:25,000 --> 00:04:27,599
Speaker 3: executive orders that he signed, and he's made a big

85
00:04:27,640 --> 00:04:30,200
Speaker 3: deal about this because it is a big deal. We

86
00:04:30,240 --> 00:04:34,800
Speaker 3: should not have men competing against women in sports in

87
00:04:34,839 --> 00:04:37,200
Speaker 3: any place, and even a bigger deal than that, and

88
00:04:37,200 --> 00:04:39,120
Speaker 3: We've seen this from a lot of people like Riley

89
00:04:39,200 --> 00:04:43,440
Speaker 3: Gaines and those female softball players that were forced to

90
00:04:43,640 --> 00:04:48,440
Speaker 3: change clothes with biological men in their locker rooms. That's

91
00:04:48,480 --> 00:04:50,480
Speaker 3: the one that I think. I mean, they're both important,

92
00:04:50,480 --> 00:04:54,200
Speaker 3: but that's the one to me that shows that we've

93
00:04:54,240 --> 00:04:56,920
Speaker 3: just been, you know, walking through life on this topic

94
00:04:56,960 --> 00:04:58,839
Speaker 3: with our eyes closed for the last decade.

95
00:04:58,839 --> 00:05:01,520
Speaker 1: It seems like, well, Donald Trump, you remember when he

96
00:05:01,560 --> 00:05:04,680
Speaker 1: was on the campaign trail, he said stuff like this, no.

97
00:05:04,760 --> 00:05:08,560
Speaker 2: Men in women's sports. That's it.

98
00:05:08,880 --> 00:05:11,440
Speaker 1: So now you've got a major global shift.

99
00:05:11,279 --> 00:05:14,240
Speaker 2: That was quick, quickly to the point it made sense. Okay,

100
00:05:14,279 --> 00:05:14,760
Speaker 2: men and.

101
00:05:14,880 --> 00:05:18,920
Speaker 1: Women's sports period. Yes, so we're shifting now from these

102
00:05:19,480 --> 00:05:26,720
Speaker 1: inclusion focused rules now to strict eligibility based on biological sex.

103
00:05:26,920 --> 00:05:31,800
Speaker 1: And this is a duh moment. Duh, of course.

104
00:05:32,560 --> 00:05:35,960
Speaker 3: Look, the rest of the world is extremely woke. Most

105
00:05:36,040 --> 00:05:38,880
Speaker 3: of these organizations are based in Europe, and we all

106
00:05:38,920 --> 00:05:42,520
Speaker 3: know on every aspect Europe is crazy woke, whether it

107
00:05:42,560 --> 00:05:46,720
Speaker 3: comes to environmental rules, or immigration or the issues with

108
00:05:46,960 --> 00:05:50,560
Speaker 3: with trans individuals. This seemed like such a common sense thing.

109
00:05:50,800 --> 00:05:53,000
Speaker 3: I'm actually before the issue cropped up in the twenty

110
00:05:53,040 --> 00:05:54,719
Speaker 3: twenty four summer games with that boxer.

111
00:05:55,040 --> 00:05:58,559
Speaker 2: I just went I assumed that this was what they did.

112
00:05:58,760 --> 00:06:00,919
Speaker 3: I assume there was some sort of genetic testing that

113
00:06:00,920 --> 00:06:02,840
Speaker 3: took place so that we make sure all the men

114
00:06:02,880 --> 00:06:04,240
Speaker 3: are in the men's sports and all the women are

115
00:06:04,240 --> 00:06:04,960
Speaker 3: in the women's sports.

116
00:06:05,000 --> 00:06:06,960
Speaker 2: But it turns out that was never the case.

117
00:06:07,080 --> 00:06:10,400
Speaker 1: No, they could just say oh, oh yeah, no, I'm

118
00:06:10,400 --> 00:06:12,560
Speaker 1: a woman. Oh okay, Well.

119
00:06:12,360 --> 00:06:14,560
Speaker 3: And part of the problem here is there's been the

120
00:06:14,640 --> 00:06:17,200
Speaker 3: argument on the other side is, well, what are we

121
00:06:17,240 --> 00:06:18,720
Speaker 3: talking about here, one or two people.

122
00:06:18,880 --> 00:06:21,239
Speaker 2: It's not like this is some big pervasive problem.

123
00:06:21,360 --> 00:06:24,839
Speaker 3: Okay, Well, go and tell those female boxers that got

124
00:06:24,880 --> 00:06:26,480
Speaker 3: their faces bloodied.

125
00:06:26,080 --> 00:06:28,480
Speaker 2: By a man and lost.

126
00:06:28,240 --> 00:06:31,039
Speaker 3: An opportunity to win an Olympic medal. Tell them it's

127
00:06:31,120 --> 00:06:32,279
Speaker 3: just one or two issues.

128
00:06:32,520 --> 00:06:32,880
Speaker 2: It's not.

129
00:06:33,160 --> 00:06:36,800
Speaker 3: It's important on every level. This is an important issue here,

130
00:06:36,839 --> 00:06:39,000
Speaker 3: and you can't just sit here and say, wow, this

131
00:06:39,080 --> 00:06:40,279
Speaker 3: is just one or two. And by the way, the

132
00:06:40,279 --> 00:06:42,960
Speaker 3: problem is getting worse. You've seen and we've talked about

133
00:06:42,960 --> 00:06:44,640
Speaker 3: it on the show. There's been lots of stories, whether

134
00:06:44,680 --> 00:06:46,960
Speaker 3: in the United States and Canada, where there have been

135
00:06:47,040 --> 00:06:50,520
Speaker 3: men that have intentionally said nope, identify as a woman,

136
00:06:50,760 --> 00:06:54,040
Speaker 3: and now I'm going to enter this powerweightlifting competition.

137
00:06:53,760 --> 00:06:57,000
Speaker 2: To prove to you idiots how absurd all of this is.

138
00:06:57,000 --> 00:06:59,160
Speaker 3: Oh and by the way, the women's world record for

139
00:06:59,200 --> 00:07:01,080
Speaker 3: the deadlift is I don't know. I'm making these numbers

140
00:07:01,160 --> 00:07:03,080
Speaker 3: up three hundred and seventy five pounds and I just

141
00:07:03,120 --> 00:07:06,040
Speaker 3: went in there and dead lifted seven hundred pounds just

142
00:07:06,080 --> 00:07:08,599
Speaker 3: to show you how absurd this is. If they didn't

143
00:07:08,600 --> 00:07:11,320
Speaker 3: do something like this, we would see more and more

144
00:07:11,360 --> 00:07:14,080
Speaker 3: of that take place, just men a competing in women's sports,

145
00:07:14,240 --> 00:07:16,119
Speaker 3: just to prove a point that this is all dumb.

146
00:07:16,200 --> 00:07:19,360
Speaker 1: It was definitely a welcome announcement from the IOC. Here's

147
00:07:19,400 --> 00:07:21,640
Speaker 1: an event you can take the kids, you can support

148
00:07:21,720 --> 00:07:24,800
Speaker 1: a historic site, you can eat the candy, all good

149
00:07:25,000 --> 00:07:29,720
Speaker 1: stuff you've got this weekend, the family Friendly Easter event

150
00:07:29,880 --> 00:07:33,480
Speaker 1: at the Presidential egg Roll happening in Indianapolis. This is

151
00:07:33,520 --> 00:07:37,480
Speaker 1: taking place at the Benjamin Harris Harrison Presidential Site, of course,

152
00:07:37,520 --> 00:07:41,720
Speaker 1: the historic home of former President Benjamin Harrison. This is

153
00:07:42,360 --> 00:07:46,360
Speaker 1: Saturday nine to ten thirty. The event is free. You

154
00:07:46,400 --> 00:07:48,640
Speaker 1: do need to register ahead of a time. But you've

155
00:07:48,640 --> 00:07:51,960
Speaker 1: got the egg Roll Races, the Golden Egg Hunt, a

156
00:07:52,120 --> 00:07:56,280
Speaker 1: decorating contest and photo opportunities as well. In the first

157
00:07:56,280 --> 00:08:00,760
Speaker 1: two hundred and fifty families get a free dozen eggs.

158
00:08:01,040 --> 00:08:04,000
Speaker 2: Free eggs, not bad, not a bad deal.

159
00:08:04,080 --> 00:08:07,200
Speaker 3: I think this is a brilliant move by the people

160
00:08:07,200 --> 00:08:12,760
Speaker 3: that run the Benjamin Harrison House site location. Because you're

161
00:08:12,800 --> 00:08:15,480
Speaker 3: always looking to put on events to draw attention to

162
00:08:15,560 --> 00:08:19,280
Speaker 3: your location. It's not technically a museum, but it's kind

163
00:08:19,280 --> 00:08:21,480
Speaker 3: of like a museum, and so you're always struggling to

164
00:08:21,560 --> 00:08:24,280
Speaker 3: kind of come up with ways to market yourself and

165
00:08:24,360 --> 00:08:26,400
Speaker 3: get people to come to your events and do attention.

166
00:08:26,640 --> 00:08:29,680
Speaker 3: And the White House egg role has been so popular

167
00:08:29,920 --> 00:08:32,319
Speaker 3: and get so much attention that I think it's a

168
00:08:32,360 --> 00:08:36,120
Speaker 3: great concept to turn that into these historic sites of

169
00:08:36,240 --> 00:08:38,680
Speaker 3: previous presidents. Like I wonder if we're going to start

170
00:08:38,679 --> 00:08:41,200
Speaker 3: seeing the presidential libraries.

171
00:08:40,720 --> 00:08:42,520
Speaker 2: Like the Obama one that's almost.

172
00:08:42,240 --> 00:08:45,160
Speaker 3: Open in Chicago now they won't do George W. Bush's

173
00:08:45,400 --> 00:08:48,480
Speaker 3: Presidential Library, which is in Dallas. Seems like a great

174
00:08:48,520 --> 00:08:52,280
Speaker 3: idea to kind of recreate the White House egg role

175
00:08:52,400 --> 00:08:55,040
Speaker 3: at these former presidential historic location.

176
00:08:55,120 --> 00:08:57,840
Speaker 1: Yeah. I mean it is. It's basically a local historical

177
00:08:57,920 --> 00:09:00,880
Speaker 1: version of the White House egg role. It's meant to

178
00:09:00,920 --> 00:09:05,160
Speaker 1: be family friendly, educational and community focused, and I think, check,

179
00:09:05,320 --> 00:09:08,600
Speaker 1: check check, that's happening. This might cost you a little

180
00:09:08,600 --> 00:09:13,160
Speaker 1: bit of money. Netflix raising prices on all of their

181
00:09:13,400 --> 00:09:18,120
Speaker 1: subscription plans again. They've got new monthly prices. You've got

182
00:09:18,120 --> 00:09:21,079
Speaker 1: the ADS supported plan which is going up a dollar.

183
00:09:21,480 --> 00:09:24,840
Speaker 1: You've got the standard plan with no ads, it's going

184
00:09:24,920 --> 00:09:27,559
Speaker 1: up two dollars. And then you've got the Premium plan

185
00:09:28,440 --> 00:09:32,800
Speaker 1: nearly twenty seven dollars is to be increasing by two dollars.

186
00:09:33,280 --> 00:09:37,360
Speaker 1: And you can have the extra member password sharing fee

187
00:09:37,800 --> 00:09:41,400
Speaker 1: that's going up as well ten dollars. Depending on the plan.

188
00:09:41,440 --> 00:09:43,960
Speaker 1: You got somebody else you want to give your Netflix

189
00:09:44,040 --> 00:09:47,960
Speaker 1: password too, well, it's going to cost you. You've got

190
00:09:48,000 --> 00:09:52,760
Speaker 1: these streaming services and the prices just keep creaming up,

191
00:09:53,160 --> 00:09:56,280
Speaker 1: creeping up. It was supposed to be a cheap alternative,

192
00:09:56,360 --> 00:09:59,439
Speaker 1: right to a gable. Yeah yeah, but now you've got

193
00:09:59,600 --> 00:10:01,560
Speaker 1: all of the This price is creeping up and you

194
00:10:01,679 --> 00:10:04,760
Speaker 1: have to get all these different platforms. It's really not

195
00:10:04,840 --> 00:10:05,800
Speaker 1: a savings any.

196
00:10:05,800 --> 00:10:08,760
Speaker 3: Here here's the list of historical Netflix price increases. We

197
00:10:08,800 --> 00:10:11,679
Speaker 3: had one in January twenty twenty two, November twenty two,

198
00:10:11,920 --> 00:10:15,800
Speaker 3: May twenty three, January twenty five, and now March twenty six.

199
00:10:15,880 --> 00:10:18,800
Speaker 3: That's one, two, three, four, five, six price increases in

200
00:10:18,840 --> 00:10:20,000
Speaker 3: five years for Netflix.

201
00:10:20,120 --> 00:10:21,000
Speaker 1: That seems like a lot.

202
00:10:21,120 --> 00:10:25,400
Speaker 3: And all of this being driven by Netflix's entry into

203
00:10:25,440 --> 00:10:29,000
Speaker 3: live sports. Opening Day was yesterday in Major League Baseball.

204
00:10:29,160 --> 00:10:32,400
Speaker 3: They had a special game the night before, Yankees versus

205
00:10:32,440 --> 00:10:36,920
Speaker 3: the Giants. It was broadcast on Netflix. Netflix is paying

206
00:10:37,200 --> 00:10:40,760
Speaker 3: billions and billions of dollars to secure these sports rights fees.

207
00:10:41,040 --> 00:10:43,280
Speaker 3: That cost is being passed along to you.

208
00:10:43,800 --> 00:10:47,320
Speaker 1: So the original pitch was cheaper than cable, and now

209
00:10:47,440 --> 00:10:51,160
Speaker 1: that ship has sailed. Here's a woman who's teaching her

210
00:10:51,240 --> 00:10:55,280
Speaker 1: students about music. Do you think that these kids are

211
00:10:55,280 --> 00:10:57,679
Speaker 1: ever going to realize these are actually song lyrics?

212
00:10:58,040 --> 00:11:02,400
Speaker 4: This is a little diddy about Jack and Die. Why

213
00:11:02,440 --> 00:11:04,360
Speaker 4: are y'all laughing?

214
00:11:05,040 --> 00:11:07,160
Speaker 1: D I T T Y a little ditty?

215
00:11:08,040 --> 00:11:11,960
Speaker 4: Okay, there were two American kids growing up in the Heartland.

216
00:11:12,679 --> 00:11:15,920
Speaker 1: Okay, do y'all know where the Heartland is? Yeah?

217
00:11:16,360 --> 00:11:16,960
Speaker 2: You know the movie.

218
00:11:16,960 --> 00:11:21,920
Speaker 4: Well, Jackie's gonna be a football star and then Diane

219
00:11:22,120 --> 00:11:28,240
Speaker 4: was the debutante. Diane was a debutante. Well, they present

220
00:11:28,280 --> 00:11:30,400
Speaker 4: them out at these places and say, oh, you're so

221
00:11:30,559 --> 00:11:33,520
Speaker 4: great because your parents are great. It has nothing to

222
00:11:33,520 --> 00:11:37,199
Speaker 4: do with what you do well. So then they were

223
00:11:37,240 --> 00:11:40,080
Speaker 4: going outside, and then they were sucking on chili dogs

224
00:11:40,080 --> 00:11:43,120
Speaker 4: outside the taste of freeze. They were eating a chili

225
00:11:43,160 --> 00:11:48,480
Speaker 4: dog up and then uh, and Diane was sitting on

226
00:11:48,559 --> 00:11:56,040
Speaker 4: Jackie's lap. Yeah, yeah, and he put his hands on

227
00:11:56,080 --> 00:12:01,520
Speaker 4: her knees and then like jack said, Diane, let's run

228
00:12:01,559 --> 00:12:03,520
Speaker 4: off behind the shade tree. Y'all know what he trying

229
00:12:03,520 --> 00:12:06,400
Speaker 4: to do was kiss her, because if you got caught

230
00:12:06,440 --> 00:12:08,280
Speaker 4: back in the day kissing that to taste you freeze,

231
00:12:08,320 --> 00:12:11,319
Speaker 4: you'd be in trouble. They didn't have no PDA.

232
00:12:12,480 --> 00:12:13,800
Speaker 1: Public display of affection.

233
00:12:15,640 --> 00:12:21,000
Speaker 4: And and Diane said, you know, but you know life

234
00:12:21,040 --> 00:12:25,240
Speaker 4: goes on long after the thrill of living is gone.

235
00:12:25,240 --> 00:12:27,760
Speaker 1: Right, Yes, And you know the lyrics, don't you.

236
00:12:28,840 --> 00:12:31,080
Speaker 3: I love that trying to take song lyrics and just

237
00:12:31,120 --> 00:12:34,120
Speaker 3: turn them into some sort of conversational story and explain

238
00:12:34,200 --> 00:12:35,160
Speaker 3: them to school kids.

239
00:12:35,320 --> 00:12:38,800
Speaker 1: Yeah, you're listening to Casey and Shiman. It's ninety three

240
00:12:39,080 --> 00:12:40,400
Speaker 1: civil UIBC.

241
00:12:41,800 --> 00:12:52,480
Speaker 4: Sixteen has.

242
00:13:08,960 --> 00:13:19,600
Speaker 1: Oh yeah level song just be We been told time

243
00:13:19,600 --> 00:13:24,120
Speaker 1: and time again that malls are closing and they're no

244
00:13:24,200 --> 00:13:27,360
Speaker 1: longer the place to be. However, there was a new

245
00:13:27,440 --> 00:13:30,160
Speaker 1: article that came out that said gen Z shoppers are

246
00:13:30,320 --> 00:13:33,720
Speaker 1: helping to bring shopping malls back to life, this after

247
00:13:33,880 --> 00:13:37,320
Speaker 1: years of decline because the younger customers are spending more

248
00:13:37,360 --> 00:13:41,960
Speaker 1: time and money in person at malls rather than just online.

249
00:13:42,040 --> 00:13:45,400
Speaker 1: Data suggesting that people between the ages of eighteen and

250
00:13:45,559 --> 00:13:50,319
Speaker 1: twenty four are still buying most of their merchandise in stores,

251
00:13:50,640 --> 00:13:54,560
Speaker 1: which is far more than the older generations. I think

252
00:13:54,679 --> 00:13:56,800
Speaker 1: part of this has to do with the fact that

253
00:13:57,440 --> 00:14:01,760
Speaker 1: perhaps gen Z is realized that doom scrolling alone in

254
00:14:01,800 --> 00:14:05,920
Speaker 1: your apartment is depressing, and that human beings actually like

255
00:14:06,000 --> 00:14:10,240
Speaker 1: being around other human beings, and people also need somewhere

256
00:14:10,280 --> 00:14:14,320
Speaker 1: to go that isn't just work or a bar, and

257
00:14:14,720 --> 00:14:18,080
Speaker 1: gen Z is starting to figure this out that they

258
00:14:18,120 --> 00:14:21,080
Speaker 1: want a third space. Yeah, and they're going to the mall.

259
00:14:21,240 --> 00:14:25,120
Speaker 3: Isn't it always funny the pendulum in society and as

260
00:14:25,160 --> 00:14:26,760
Speaker 3: a culture, and when you look at the different things

261
00:14:26,800 --> 00:14:29,640
Speaker 3: that are in our society and culture, the pendulum always

262
00:14:29,680 --> 00:14:32,560
Speaker 3: swings one way and then eventually it swings back the

263
00:14:32,600 --> 00:14:35,120
Speaker 3: other way. If you remember, during the heydays of malls,

264
00:14:35,160 --> 00:14:37,360
Speaker 3: while people loved them, there were plenty of critics that

265
00:14:37,440 --> 00:14:40,600
Speaker 3: were like, oh, it's a temple to consumerism, and they're

266
00:14:40,680 --> 00:14:44,560
Speaker 3: sterile suburban shopping malls and they're awful, and then they're terrible.

267
00:14:44,720 --> 00:14:46,400
Speaker 3: And then all of a sudden, all these malls started

268
00:14:46,400 --> 00:14:49,200
Speaker 3: closing and people were like, wait, wait a minute, hold on,

269
00:14:49,400 --> 00:14:52,680
Speaker 3: hold on going, and maybe the pendulum should swing back

270
00:14:52,720 --> 00:14:54,800
Speaker 3: the other way. And we're seeing this with a lot

271
00:14:54,800 --> 00:14:59,560
Speaker 3: of things with gen Z. Compact discs are becoming popular

272
00:14:59,560 --> 00:15:02,640
Speaker 3: with gen Z again, polaroid photos where you actually point

273
00:15:02,680 --> 00:15:04,920
Speaker 3: and shoot and then you know, wave the little photo

274
00:15:04,960 --> 00:15:06,560
Speaker 3: for it to develop in front of.

275
00:15:06,560 --> 00:15:10,040
Speaker 1: It, like admitting and gardening exactly Grandma hobbies, that is

276
00:15:10,080 --> 00:15:10,560
Speaker 1: what they're calling.

277
00:15:10,640 --> 00:15:12,840
Speaker 3: And I think it makes sense because gen Z really

278
00:15:12,880 --> 00:15:15,720
Speaker 3: never got to experience all of those things the first

279
00:15:15,720 --> 00:15:18,680
Speaker 3: time around. They didn't get to experience compact discs or

280
00:15:18,680 --> 00:15:22,400
Speaker 3: polaroid photos or shopping malls, and so the fact of

281
00:15:22,400 --> 00:15:23,840
Speaker 3: the matter, it's kind of new.

282
00:15:23,880 --> 00:15:26,600
Speaker 2: It's the new shiny toy the gen Z. They're like

283
00:15:26,640 --> 00:15:28,880
Speaker 2: shopping malls. That'd be pretty cool. And you bring up a.

284
00:15:28,840 --> 00:15:31,760
Speaker 3: Really good point about third spaces, because people are looking

285
00:15:31,800 --> 00:15:34,600
Speaker 3: for community, and we saw that during COVID, where everybody

286
00:15:34,640 --> 00:15:37,480
Speaker 3: just hunkered down and hibernated by themselves. Or with their

287
00:15:37,520 --> 00:15:41,280
Speaker 3: family family. And as our culture slowly starts to continue

288
00:15:41,280 --> 00:15:42,960
Speaker 3: to get out of that, we're looking for these third

289
00:15:42,960 --> 00:15:46,320
Speaker 3: spaces that aren't work or home, where we can gather

290
00:15:46,400 --> 00:15:49,520
Speaker 3: with other people. And I think that really was the

291
00:15:49,640 --> 00:15:52,520
Speaker 3: cultural value that shopping malls brought.

292
00:15:52,280 --> 00:15:54,840
Speaker 2: To us in their heydays of the eighties and nineties.

293
00:15:54,880 --> 00:15:56,120
Speaker 3: It was a place where you could just kind of

294
00:15:56,400 --> 00:16:00,120
Speaker 3: meet your friends and hang out and loiter and you know, oh,

295
00:16:00,120 --> 00:16:02,720
Speaker 3: you grab a soda or a hot pretzel and shop

296
00:16:02,760 --> 00:16:04,400
Speaker 3: a little bit, and even if you didn't buy anything,

297
00:16:04,480 --> 00:16:06,400
Speaker 3: that was fine. At least you've got some sort of

298
00:16:06,400 --> 00:16:09,560
Speaker 3: a communal feeling and you were around other human beings.

299
00:16:09,120 --> 00:16:11,520
Speaker 1: Something to do. The generation that was supposed to kill

300
00:16:11,520 --> 00:16:14,400
Speaker 1: the mall is now helping to save them. So they're

301
00:16:14,440 --> 00:16:17,160
Speaker 1: saying that gen Z a lot of times they're discovering

302
00:16:17,200 --> 00:16:21,520
Speaker 1: their fashion trends online, but then they're going in person

303
00:16:21,680 --> 00:16:23,840
Speaker 1: so that they can see it, touch it, try it on,

304
00:16:24,080 --> 00:16:28,240
Speaker 1: and experience the product actually before buying it. And there

305
00:16:28,240 --> 00:16:31,480
Speaker 1: are some malls, not Circle Center Mall in Indianapolis, but

306
00:16:31,640 --> 00:16:35,720
Speaker 1: other malls they're seeing some increased foot traffic and sales

307
00:16:35,880 --> 00:16:40,840
Speaker 1: and they're actually expanding store counts again. For years we

308
00:16:40,920 --> 00:16:44,320
Speaker 1: saw just you know, one or two stores in the mall.

309
00:16:44,640 --> 00:16:48,840
Speaker 1: The rest were all closed. Now some stronger malls are

310
00:16:48,960 --> 00:16:51,640
Speaker 1: actually bringing stores back into them.

311
00:16:51,760 --> 00:16:52,040
Speaker 2: You know what.

312
00:16:52,080 --> 00:16:53,920
Speaker 3: You brought up a really good point there about talking

313
00:16:53,920 --> 00:16:57,080
Speaker 3: about the experience of this, and we've seen this and

314
00:16:57,120 --> 00:16:58,600
Speaker 3: talked about this a lot, and there's been a lot

315
00:16:58,640 --> 00:17:01,320
Speaker 3: of data about it. The Z believes on experiences. They

316
00:17:01,360 --> 00:17:04,160
Speaker 3: would rather spend their money to go on a vacation

317
00:17:04,359 --> 00:17:07,400
Speaker 3: to Europe as opposed to buying something.

318
00:17:07,080 --> 00:17:08,040
Speaker 1: That doesn't work out.

319
00:17:08,320 --> 00:17:10,520
Speaker 3: They just have to return, right, So going to the

320
00:17:10,560 --> 00:17:11,960
Speaker 3: mall is an experience.

321
00:17:11,960 --> 00:17:14,159
Speaker 2: I get to try on these clothes before I buy them.

322
00:17:14,200 --> 00:17:15,879
Speaker 3: Oh, by the way, I'm going to grab myself an

323
00:17:16,000 --> 00:17:18,240
Speaker 3: iced cappuccino while i'm here too, and I may grab

324
00:17:18,320 --> 00:17:20,280
Speaker 3: something else, and I'm going to hang out with my friends.

325
00:17:20,320 --> 00:17:23,080
Speaker 3: The mall was an experience, and so that kind of

326
00:17:23,160 --> 00:17:25,120
Speaker 3: tracks with all the other data that we're seeing about

327
00:17:25,160 --> 00:17:28,240
Speaker 3: gen Z wanting to focus on experiences as opposed to

328
00:17:28,240 --> 00:17:29,160
Speaker 3: material items.

329
00:17:29,280 --> 00:17:33,199
Speaker 1: So a president's signature on American currency has not happened

330
00:17:33,240 --> 00:17:37,320
Speaker 1: since eighteen sixty one, but guess what Donald Trump is

331
00:17:37,359 --> 00:17:40,720
Speaker 1: making it. So, so this is either deeply historic or

332
00:17:40,800 --> 00:17:44,800
Speaker 1: deeply on brand for Donald Trump, depending on your perspective.

333
00:17:44,880 --> 00:17:48,720
Speaker 1: The US to pressure. US Treasury Department has announced that

334
00:17:48,720 --> 00:17:51,640
Speaker 1: Donald Trump's signature is now going to appear on US

335
00:17:51,720 --> 00:17:54,960
Speaker 1: paper currency starting this summer, and it's the first time

336
00:17:55,320 --> 00:18:02,800
Speaker 1: that this has happened well printed bills. Yes, so the

337
00:18:02,960 --> 00:18:05,280
Speaker 1: change is being done part of the two hundred and

338
00:18:05,280 --> 00:18:09,040
Speaker 1: fiftieth anniversary, and new one hundred dollars bills are going

339
00:18:09,080 --> 00:18:11,960
Speaker 1: to have both Trump's signature and that of the Treasury

340
00:18:12,040 --> 00:18:13,520
Speaker 1: Secretary of Scott descent.

341
00:18:14,400 --> 00:18:16,600
Speaker 3: I love how Trump is framing this that it's part

342
00:18:16,640 --> 00:18:20,040
Speaker 3: of freedom two fifty. That's why the president is putting

343
00:18:20,080 --> 00:18:22,640
Speaker 3: his signature on bills. That seems to like, well, who

344
00:18:22,640 --> 00:18:25,280
Speaker 3: can be against the celebration of the two hundred and

345
00:18:25,280 --> 00:18:28,199
Speaker 3: fiftieth anniversary of our country. You can't be against that.

346
00:18:28,280 --> 00:18:29,760
Speaker 3: So I'm just going to say that me putting my

347
00:18:29,840 --> 00:18:32,080
Speaker 3: signature on the bill is just part of that celebration.

348
00:18:32,320 --> 00:18:34,520
Speaker 3: That way nobody can impose me on It's pretty smart.

349
00:18:34,600 --> 00:18:38,639
Speaker 1: So every bill in circulation will eventually have his signature

350
00:18:38,680 --> 00:18:43,359
Speaker 1: on it. Every transaction, every wallet, every cash register. Whether

351
00:18:43,400 --> 00:18:45,679
Speaker 1: you love him or hate him, that's that's a flex

352
00:18:45,800 --> 00:18:48,399
Speaker 1: you know, it's a flex for him. He loves putting

353
00:18:48,400 --> 00:18:49,560
Speaker 1: his name on everything.

354
00:18:49,600 --> 00:18:51,520
Speaker 3: Well, he loves making it all about him. But this

355
00:18:51,600 --> 00:18:53,960
Speaker 3: kind of tracks. You know, why did we elect Donald Trump.

356
00:18:53,960 --> 00:18:56,160
Speaker 3: One of the big reasons why this country elected Donald

357
00:18:56,160 --> 00:18:58,679
Speaker 3: Trump and did it twice, is because he was willing

358
00:18:58,800 --> 00:19:02,520
Speaker 3: to not just do things the way we've always done them,

359
00:19:03,080 --> 00:19:05,600
Speaker 3: just because that's the way we've always done them. Look

360
00:19:05,600 --> 00:19:08,159
Speaker 3: at Doge for example. Oh, you can't ever break the

361
00:19:08,280 --> 00:19:10,920
Speaker 3: DC bureaucracy. You can't do it. Oh really, I'm gonna

362
00:19:10,920 --> 00:19:12,600
Speaker 3: take my buddy Elon and he's going to bring a

363
00:19:12,680 --> 00:19:16,000
Speaker 3: chainsaw into USID and carve it up. He is willing

364
00:19:16,080 --> 00:19:18,879
Speaker 3: to do things and look for creative solutions and just

365
00:19:18,920 --> 00:19:21,160
Speaker 3: do things that nobody else did. Like I'm not aware

366
00:19:21,200 --> 00:19:23,919
Speaker 3: of any law that would prohibit this him from doing this,

367
00:19:24,000 --> 00:19:26,000
Speaker 3: And in fact, it sounds like one hundred and sixty

368
00:19:26,040 --> 00:19:29,600
Speaker 3: five years ago the president's signature was on on things

369
00:19:29,680 --> 00:19:32,639
Speaker 3: like this, So I think that this is he is.

370
00:19:33,040 --> 00:19:37,880
Speaker 3: He's not afraid to throw traditions and the concept of well.

371
00:19:37,720 --> 00:19:39,560
Speaker 2: We do this because this is just always the way

372
00:19:39,600 --> 00:19:40,040
Speaker 2: we've done it.

373
00:19:40,040 --> 00:19:41,639
Speaker 3: He's not afraid to throw that in the toilet and

374
00:19:41,680 --> 00:19:44,000
Speaker 3: flush it down and try something new, just to see

375
00:19:44,000 --> 00:19:44,560
Speaker 3: if it works.

376
00:19:44,720 --> 00:19:47,040
Speaker 1: The new one hundred dollars bills are set for a

377
00:19:47,160 --> 00:19:50,480
Speaker 1: June release. You're listening to ninety three WIBC.

378
00:19:56,400 --> 00:19:58,800
Speaker 5: Yeah, everybody talks about this place man on that gum swamp.

379
00:19:58,840 --> 00:20:02,000
Speaker 6: It's not a swamp. The swamp is something cool God created.

380
00:20:02,040 --> 00:20:05,720
Speaker 6: It's a It filters water, animal life lives and flourishes

381
00:20:05,760 --> 00:20:06,119
Speaker 6: around it.

382
00:20:06,240 --> 00:20:09,239
Speaker 5: This is a sewer. This is created by man and

383
00:20:09,280 --> 00:20:10,400
Speaker 5: it needs to stop.

384
00:20:10,800 --> 00:20:15,040
Speaker 6: We've you know, for years Congress has been using hard

385
00:20:15,040 --> 00:20:17,359
Speaker 6: work in American taxpayers money to get rich.

386
00:20:18,040 --> 00:20:18,159
Speaker 1: Um.

387
00:20:18,200 --> 00:20:18,960
Speaker 5: It's got to stop.

388
00:20:19,080 --> 00:20:21,520
Speaker 6: America knows what the heck's going on. Everybody wants to

389
00:20:21,560 --> 00:20:24,359
Speaker 6: knock Pelosi. Heck, she's not even in the top ten.

390
00:20:25,000 --> 00:20:26,840
Speaker 6: Get on that unusual whales side.

391
00:20:26,880 --> 00:20:29,639
Speaker 5: This is pathetic, folks. We all know what's going on.

392
00:20:30,240 --> 00:20:32,960
Speaker 6: Congress knows what the hell's going on, and it needs

393
00:20:33,000 --> 00:20:34,000
Speaker 6: to stop.

394
00:20:34,760 --> 00:20:38,919
Speaker 1: Wow. That is Representative timber Chat in Tennessee talking about

395
00:20:38,960 --> 00:20:44,680
Speaker 1: insider trading corruption in Washington said, Washington, it's not a swamp.

396
00:20:44,680 --> 00:20:49,280
Speaker 1: It's a sewer of corruption enriching from taxpayers money and

397
00:20:49,320 --> 00:20:51,960
Speaker 1: it needs to stop. He said, Pelosi's not even in

398
00:20:52,000 --> 00:20:54,760
Speaker 1: the top ten. Let that sink in. There are nine

399
00:20:54,800 --> 00:20:59,000
Speaker 1: members of Congress trading on insider information worse than the

400
00:20:59,000 --> 00:21:04,000
Speaker 1: most famous exams ample Burche. He's named the problem. Now

401
00:21:04,040 --> 00:21:07,960
Speaker 1: somebody needs to start naming the names. And there was

402
00:21:08,000 --> 00:21:10,560
Speaker 1: a lot of conversation that there were trades that were

403
00:21:10,600 --> 00:21:16,000
Speaker 1: made right before Trump delayed the Iran strike, like somebody knew,

404
00:21:16,320 --> 00:21:20,400
Speaker 1: somebody always knows, and somebody always makes millions, and this

405
00:21:20,680 --> 00:21:24,719
Speaker 1: off of soldiers and civilians paying the real price. And

406
00:21:24,960 --> 00:21:29,280
Speaker 1: if there is some real nefarious insider trading going on,

407
00:21:30,119 --> 00:21:32,960
Speaker 1: well there needs to be criminal investigation, not just a

408
00:21:33,040 --> 00:21:34,320
Speaker 1: congressional hearing on this.

409
00:21:34,560 --> 00:21:37,600
Speaker 3: Yeah, there are already existing laws that applied to everybody

410
00:21:37,680 --> 00:21:41,520
Speaker 3: about insider training. Martha Stewart famously went to prison for

411
00:21:41,600 --> 00:21:44,280
Speaker 3: an insider training issue that she was convicted of. And

412
00:21:44,320 --> 00:21:47,639
Speaker 3: what we're talking about here is creating some laws that

413
00:21:47,680 --> 00:21:50,600
Speaker 3: applied just to Congress that limits their ability to trade

414
00:21:50,640 --> 00:21:53,560
Speaker 3: stocks or forces them to put any of their investments

415
00:21:53,560 --> 00:21:56,240
Speaker 3: into a blind trust. Here's how this works, and this

416
00:21:56,280 --> 00:21:58,239
Speaker 3: is traditionally and I'm going to set the current you know,

417
00:21:58,320 --> 00:22:02,119
Speaker 3: Iran war oil scal handle aside, but traditionally how this

418
00:22:02,200 --> 00:22:04,199
Speaker 3: has worked and Let's say you are a member of

419
00:22:04,240 --> 00:22:07,560
Speaker 3: Congress and I am part of the Armed Services Committee,

420
00:22:07,600 --> 00:22:10,159
Speaker 3: and I find out that Congress is about ready to

421
00:22:10,680 --> 00:22:15,040
Speaker 3: purchase ten billion dollars worth of planes from Northrop Grumman,

422
00:22:15,359 --> 00:22:18,159
Speaker 3: a defense contractor. If I have that information before it

423
00:22:18,200 --> 00:22:22,680
Speaker 3: goes public, then I can buy shares of stock in Grumman.

424
00:22:23,119 --> 00:22:24,920
Speaker 2: The announcement comes out they just got this.

425
00:22:24,920 --> 00:22:28,280
Speaker 3: Huge government contract, the price of Northwrok Grumman stock goes up.

426
00:22:28,359 --> 00:22:29,879
Speaker 3: I make a ton of money. So to give you

427
00:22:29,920 --> 00:22:32,520
Speaker 3: an example, and he mentions Nancy Pelosi because she's been

428
00:22:32,560 --> 00:22:34,679
Speaker 3: the focus of this so much, so that there are

429
00:22:34,680 --> 00:22:38,600
Speaker 3: people online and social media, because ultimately all the members

430
00:22:38,640 --> 00:22:41,400
Speaker 3: of Congress have to disclose their trades to the public.

431
00:22:41,600 --> 00:22:43,080
Speaker 3: Doesn't mean they can't do it, but they have to

432
00:22:43,080 --> 00:22:44,960
Speaker 3: disclose it. So there are people out there that have

433
00:22:45,000 --> 00:22:47,920
Speaker 3: built charts and grafts and websites so that you can

434
00:22:47,960 --> 00:22:52,200
Speaker 3: follow Nancy Pelosi's stock purchases and make the same purchases

435
00:22:53,240 --> 00:22:55,479
Speaker 3: they're her husband's. Of course, yes, of course there are

436
00:22:55,520 --> 00:22:58,480
Speaker 3: her husband's, but follow fine her husband's purchases so that

437
00:22:58,600 --> 00:23:00,800
Speaker 3: you can make the ridiculous rate of returns. I'm gonna

438
00:23:00,800 --> 00:23:03,720
Speaker 3: give you some examples. In twenty twenty three, it's estimated

439
00:23:03,800 --> 00:23:06,520
Speaker 3: Nancy Pelosi saw sixty five percent.

440
00:23:06,320 --> 00:23:07,800
Speaker 2: Return on her investments.

441
00:23:07,840 --> 00:23:09,600
Speaker 3: By the way, the S and P five hundred that

442
00:23:09,640 --> 00:23:12,600
Speaker 3: year saw twenty four percent return, so more than double.

443
00:23:13,320 --> 00:23:16,160
Speaker 3: In twenty twenty three and twenty twenty four, it's estimated

444
00:23:16,200 --> 00:23:19,240
Speaker 3: her portfolio return seventy percent. The S and P five

445
00:23:19,320 --> 00:23:21,920
Speaker 3: hundred that year was up twenty five percent. So there's

446
00:23:21,920 --> 00:23:25,640
Speaker 3: one of two things here. Either either she is the

447
00:23:25,680 --> 00:23:31,240
Speaker 3: most incredibly successful stock market Wall Street picker in the

448
00:23:31,320 --> 00:23:36,439
Speaker 3: history of mankind, very intuitive, or or.

449
00:23:35,960 --> 00:23:38,880
Speaker 2: Or maybe there's something funny going on.

450
00:23:40,359 --> 00:23:43,119
Speaker 1: So lawmakers they held a briefing on a bill to

451
00:23:43,240 --> 00:23:46,160
Speaker 1: ban insider training, and here is timber Chat.

452
00:23:46,200 --> 00:23:50,800
Speaker 6: He continues on, when you see a member of this

453
00:23:50,880 --> 00:23:54,280
Speaker 6: body making four or five, six hundred trades a year,

454
00:23:55,400 --> 00:23:56,399
Speaker 6: you know something wrong.

455
00:23:56,480 --> 00:23:57,680
Speaker 2: Everybody, I'll do like I do.

456
00:23:58,440 --> 00:24:02,439
Speaker 6: I got my buddy Tommy Saler invested in my mutual fund.

457
00:24:02,680 --> 00:24:04,200
Speaker 6: I end up having to cash it out because my

458
00:24:04,280 --> 00:24:07,520
Speaker 6: daughter's going to school. I'm not a wealthy man, but look,

459
00:24:08,040 --> 00:24:11,240
Speaker 6: this thing is broken and it needs to be fixed,

460
00:24:11,359 --> 00:24:13,000
Speaker 6: and this is the right avenue to do it.

461
00:24:13,400 --> 00:24:14,480
Speaker 5: And I want to say something.

462
00:24:14,520 --> 00:24:16,119
Speaker 6: I'm going to get these guys mad at me, but

463
00:24:16,200 --> 00:24:18,840
Speaker 6: I really don't care because they can't vote in my district.

464
00:24:19,359 --> 00:24:20,520
Speaker 5: This thing ain't going to pass.

465
00:24:20,840 --> 00:24:23,320
Speaker 6: If we're going to pass something in the House, and

466
00:24:23,359 --> 00:24:25,840
Speaker 6: then guess what, the Senate will either one not take

467
00:24:25,880 --> 00:24:28,959
Speaker 6: it up or they'll come back in righteous indignation and say, oh,

468
00:24:29,000 --> 00:24:31,959
Speaker 6: we need to make this strong or something totally ridiculous,

469
00:24:31,960 --> 00:24:34,200
Speaker 6: and they'll send it back to us. This is a

470
00:24:34,240 --> 00:24:38,320
Speaker 6: scam that's being played on the American public and.

471
00:24:38,280 --> 00:24:41,360
Speaker 5: It needs to stop. Let's quit with this nonsense. Let's

472
00:24:41,359 --> 00:24:44,679
Speaker 5: give America a reason to trust Congress for once in

473
00:24:44,720 --> 00:24:45,639
Speaker 5: our miserable lives.

474
00:24:45,960 --> 00:24:48,080
Speaker 6: This is our chance to stand up and say we

475
00:24:48,160 --> 00:24:50,040
Speaker 6: hear what you're saying, America. We're going to fix this

476
00:24:50,119 --> 00:24:53,520
Speaker 6: dad gun problem. But we probably won't do it and

477
00:24:53,560 --> 00:24:55,919
Speaker 6: I'll remain ticked off the rest of the day because

478
00:24:55,960 --> 00:24:56,240
Speaker 6: of this.

479
00:24:56,880 --> 00:24:58,119
Speaker 5: And it needs to stop.

480
00:24:59,160 --> 00:25:03,800
Speaker 1: So we're being briefed again on insider trading a bill

481
00:25:03,880 --> 00:25:07,439
Speaker 1: to band congressional trading again. How many times have we

482
00:25:07,520 --> 00:25:11,600
Speaker 1: been briefed, discussed and then it gets quietly buried. They

483
00:25:11,640 --> 00:25:14,000
Speaker 1: never passed the bill. They should pass the bill. They

484
00:25:14,040 --> 00:25:16,480
Speaker 1: should make it retroactive and see where the chips fall.

485
00:25:16,640 --> 00:25:18,760
Speaker 3: Yeah, And we're not just gonna sit here and blame

486
00:25:18,800 --> 00:25:21,000
Speaker 3: Democrats about this. Sure, Democrats get a lot of blame,

487
00:25:21,040 --> 00:25:22,840
Speaker 3: but there are plenty of Republicans that are accused of

488
00:25:22,920 --> 00:25:24,760
Speaker 3: this as well. And you talked about it, alluded to

489
00:25:24,800 --> 00:25:26,080
Speaker 3: it at the beginning of this break here with.

490
00:25:26,200 --> 00:25:30,080
Speaker 1: Some very well timed wagers tied to geopolitical events.

491
00:25:29,880 --> 00:25:34,000
Speaker 3: Right from yea from the Republican Trump administration. So yes,

492
00:25:34,080 --> 00:25:36,280
Speaker 3: Nancy Pelosi has always kind of been the face of this,

493
00:25:36,440 --> 00:25:39,520
Speaker 3: and look, she's earned the face of this scandal. But

494
00:25:39,560 --> 00:25:41,520
Speaker 3: there are plenty of Republicans that are rumored to be

495
00:25:41,560 --> 00:25:43,400
Speaker 3: part of it too. And I love the passion there

496
00:25:43,400 --> 00:25:46,639
Speaker 3: from burkett Man. He has fired up about this, and

497
00:25:46,920 --> 00:25:49,000
Speaker 3: you should be filed. We all should be fired up

498
00:25:49,040 --> 00:25:52,960
Speaker 3: about this. Average everyday Americans are struggling just to pay

499
00:25:53,000 --> 00:25:55,280
Speaker 3: their bills, whether it's the price of food or the

500
00:25:55,280 --> 00:25:58,080
Speaker 3: price of our electricity, or our housing costs, or our

501
00:25:58,119 --> 00:26:00,720
Speaker 3: property taxes or any other tax that coming at us,

502
00:26:00,760 --> 00:26:02,879
Speaker 3: and the fact that our wages aren't keeping up with it.

503
00:26:02,920 --> 00:26:06,400
Speaker 3: Americans are struggling. And then they see the privileged elites.

504
00:26:06,720 --> 00:26:08,439
Speaker 1: Yeah, they sit there and they're in a meeting and

505
00:26:08,440 --> 00:26:10,919
Speaker 1: they get read in on something and then they just

506
00:26:11,440 --> 00:26:14,640
Speaker 1: tiptoe over and start making a trade before anybody else

507
00:26:14,640 --> 00:26:16,720
Speaker 1: says the information, and they get rich.

508
00:26:16,920 --> 00:26:21,040
Speaker 3: Well, and in Nancy Pelosi's defense, I guess on this,

509
00:26:21,920 --> 00:26:24,119
Speaker 3: there's no law banning Congress from doing it.

510
00:26:24,240 --> 00:26:26,320
Speaker 2: So yeah, let's get to it and pass this.

511
00:26:26,520 --> 00:26:29,880
Speaker 3: I'm a little disappointed that Representative Burchette there doesn't think

512
00:26:29,880 --> 00:26:33,080
Speaker 3: there's any chance of this passing. That's a little discouraging

513
00:26:33,160 --> 00:26:35,160
Speaker 3: on everything. But this is back to what we keep

514
00:26:35,160 --> 00:26:37,880
Speaker 3: talking about is the issues in this country right now.

515
00:26:37,960 --> 00:26:40,399
Speaker 3: We like to think it's Democrats versus Republicans, we like

516
00:26:40,440 --> 00:26:43,119
Speaker 3: to think that it's liberals versus conservatives. That's not what

517
00:26:43,200 --> 00:26:46,840
Speaker 3: the battle is. The battle is us versus these elites.

518
00:26:46,880 --> 00:26:48,680
Speaker 3: And it's things like this that you see that just

519
00:26:48,720 --> 00:26:49,760
Speaker 3: make you want to throw a well, I.

520
00:26:49,720 --> 00:26:53,360
Speaker 1: Love how he said, and the Senate, in their righteous indignation,

521
00:26:53,840 --> 00:26:56,800
Speaker 1: will say make it tougher, which is just an excuse

522
00:26:56,920 --> 00:26:58,520
Speaker 1: to not do anything with it.

523
00:26:58,680 --> 00:27:02,199
Speaker 3: Yeah, we talked about this at the beginning of the show.

524
00:27:02,520 --> 00:27:05,600
Speaker 3: Americans are frustrated because the politicians sit there and they

525
00:27:05,640 --> 00:27:07,679
Speaker 3: get a topic brought up like this, Yeah, we're gonna

526
00:27:07,720 --> 00:27:10,000
Speaker 3: create a committee and a task force and a Blue

527
00:27:10,080 --> 00:27:12,480
Speaker 3: Ribbon panel that's going to investigate this, and we're gonna

528
00:27:12,480 --> 00:27:14,719
Speaker 3: meet and we're gonna have conversations, and I'm gonna put

529
00:27:14,760 --> 00:27:15,680
Speaker 3: a plan in place.

530
00:27:15,480 --> 00:27:16,000
Speaker 2: To fix it.

531
00:27:16,160 --> 00:27:19,280
Speaker 3: We've been talking about Nancy Pelosi stock trades for five, six,

532
00:27:19,400 --> 00:27:20,480
Speaker 3: seven years now.

533
00:27:20,680 --> 00:27:23,119
Speaker 1: It's the hot potato. Nobody wants to hold on to it.

534
00:27:23,200 --> 00:27:28,280
Speaker 3: Nobody wants to hold Congress accountable, especially Congress.

535
00:27:28,440 --> 00:27:32,160
Speaker 1: So Polymarket, which is a prediction market where people bet

536
00:27:32,160 --> 00:27:36,439
Speaker 1: on outcomes like elections and wars, they're updating their rules

537
00:27:36,480 --> 00:27:39,840
Speaker 1: to crack down on insider trading concerns. They have a

538
00:27:39,840 --> 00:27:45,240
Speaker 1: new policy and it prohibits bets based on stolen confidential

539
00:27:45,280 --> 00:27:47,400
Speaker 1: information or illegal tips.

540
00:27:48,080 --> 00:27:51,639
Speaker 3: Oh so you're gonna pursue for starters. You didn't have

541
00:27:51,680 --> 00:27:54,639
Speaker 3: that rule in place before. That wasn't a regular. You

542
00:27:54,720 --> 00:27:57,400
Speaker 3: had to have some scandal crop up like this before you.

543
00:27:57,359 --> 00:27:59,560
Speaker 2: Put that rule in place. And then who's gonna what

544
00:27:59,680 --> 00:28:00,840
Speaker 2: sort of criminal is going to.

545
00:28:00,840 --> 00:28:04,960
Speaker 3: Say, Hey, hey, Polymarket, I have got some inside information,

546
00:28:05,320 --> 00:28:07,200
Speaker 3: but I'm gonna make this bet anyway. But I wanted

547
00:28:07,200 --> 00:28:10,040
Speaker 3: to make sure you know I had inside information before

548
00:28:10,080 --> 00:28:11,680
Speaker 3: I place this prediction bet here.

549
00:28:11,840 --> 00:28:14,159
Speaker 2: No, so what is that like self reporting?

550
00:28:14,680 --> 00:28:18,200
Speaker 1: But wrap your head around this. The prediction market is

551
00:28:18,280 --> 00:28:23,040
Speaker 1: making moves and showing more integrity standards than the Senate

552
00:28:23,760 --> 00:28:24,920
Speaker 1: than the Congress.

553
00:28:25,000 --> 00:28:27,720
Speaker 3: Yeah, you know why, because they'll lose business if they don't,

554
00:28:27,800 --> 00:28:30,919
Speaker 3: if people think that polymarket is rigged, or there's insiders

555
00:28:30,920 --> 00:28:34,320
Speaker 3: that are trading on information and therefore you know, messing

556
00:28:34,359 --> 00:28:37,480
Speaker 3: with my predictions. Yeah, Polymarket's doing this because they're a

557
00:28:37,520 --> 00:28:39,360
Speaker 3: business and they want to make money, and trust is

558
00:28:39,440 --> 00:28:42,920
Speaker 3: part of it. Congress, unfortunately, just we just keep electing

559
00:28:42,920 --> 00:28:45,200
Speaker 3: the same people to Congress, keep putting them in there,

560
00:28:45,240 --> 00:28:47,440
Speaker 3: and they keep not regulating the things that we're asking

561
00:28:47,480 --> 00:28:48,560
Speaker 3: them the past laws about.

562
00:28:48,680 --> 00:28:53,800
Speaker 1: So we've got cocaine found in our shark's blood. Yes,

563
00:28:54,000 --> 00:28:57,040
Speaker 1: this is a real thing. Researchers have found sharks in

564
00:28:57,080 --> 00:29:01,240
Speaker 1: the waters near the Bahamas with traces of coke, caine, caffeine,

565
00:29:01,520 --> 00:29:05,120
Speaker 1: and painkillers in their blood. The study sampled about eighty

566
00:29:05,160 --> 00:29:10,160
Speaker 1: five sharks from different species reef sharks, nurse sharks, lemon sharks.

567
00:29:10,400 --> 00:29:13,880
Speaker 1: Twenty eight of them tested positive for drug compounds.

568
00:29:14,080 --> 00:29:17,640
Speaker 2: Why do I feel like we've heard something like this before?

569
00:29:18,120 --> 00:29:19,000
Speaker 1: Reminds you of something.

570
00:29:19,120 --> 00:29:21,880
Speaker 2: It does remind what are you thinking of Cocaine Bear.

571
00:29:21,960 --> 00:29:24,080
Speaker 3: Our favorite movie, Cocaine Bear.

572
00:29:32,800 --> 00:29:34,720
Speaker 2: It kind of seems like the thing that stays with

573
00:29:34,800 --> 00:29:35,240
Speaker 2: the man.

574
00:29:35,200 --> 00:29:46,360
Speaker 5: Forever apex predator I on cocaine.

575
00:29:46,640 --> 00:29:53,880
Speaker 2: Thought of his mind. Oh man.

576
00:29:56,080 --> 00:29:56,640
Speaker 3: Up there.

577
00:30:00,960 --> 00:30:04,160
Speaker 2: Straight high a baby and don't let them come down.

578
00:30:05,520 --> 00:30:08,440
Speaker 1: So now it's there gonna be a cocaine shark movie

579
00:30:08,520 --> 00:30:11,960
Speaker 1: that comes out. I mean, these sharks aren't intentionally consuming

580
00:30:12,000 --> 00:30:16,200
Speaker 1: these drugs. They're being exposed to the contaminants that are

581
00:30:16,240 --> 00:30:19,920
Speaker 1: in their environment. So we've got stories of cocaine sharks

582
00:30:19,920 --> 00:30:23,440
Speaker 1: in the Caribbean. We've got stories of squirrels that are

583
00:30:23,560 --> 00:30:28,120
Speaker 1: vaping in parks, and now we have pirate disease from

584
00:30:28,240 --> 00:30:32,640
Speaker 1: weight loss drugs. The natural world is simply absorbing what

585
00:30:32,680 --> 00:30:33,680
Speaker 1: we're putting into it.

586
00:30:33,840 --> 00:30:34,320
Speaker 2: Yeah, they are.

587
00:30:34,720 --> 00:30:37,360
Speaker 3: I remember when Cocaine Bear came out in movie theaters

588
00:30:37,400 --> 00:30:40,760
Speaker 3: in twenty twenty three, and everybody's first reaction with this

589
00:30:40,840 --> 00:30:45,040
Speaker 3: is a ridiculous, some silly Hollywood movie. Turned out it's

590
00:30:45,040 --> 00:30:47,600
Speaker 3: actually a very entertaining movie, but the premise of it

591
00:30:47,640 --> 00:30:50,320
Speaker 3: is ridiculous. This bear eats a whole bunch of cocaine

592
00:30:50,480 --> 00:30:52,400
Speaker 3: and goes crazy and kills all these people in a

593
00:30:52,480 --> 00:30:55,760
Speaker 3: national park. Seems silly, seem ridiculous. Here we are three

594
00:30:55,840 --> 00:30:58,280
Speaker 3: years later. It's not bears, it's sharks.

595
00:30:58,360 --> 00:30:58,520
Speaker 2: Now.

596
00:30:58,560 --> 00:31:02,280
Speaker 3: There is a very popular series of shark movies in

597
00:31:02,320 --> 00:31:05,880
Speaker 3: the last decade called Shark Nato. And now we've got

598
00:31:05,920 --> 00:31:10,320
Speaker 3: sharks with cocaine. So I maybe cocaine.

599
00:31:09,840 --> 00:31:12,440
Speaker 2: Shark Nato, maybe we can have that.

600
00:31:12,840 --> 00:31:15,040
Speaker 1: I'm already afraid of sharks in the water. This just

601
00:31:15,080 --> 00:31:17,040
Speaker 1: amplified that nervousness.

602
00:31:17,120 --> 00:31:21,080
Speaker 3: Right, coked up sharks to talk about terrifying, Right, sharks

603
00:31:21,080 --> 00:31:24,640
Speaker 3: alone and all of their teeth, terrifying sharks and all

604
00:31:24,680 --> 00:31:26,760
Speaker 3: their teeth hopped up on cocaine.

605
00:31:27,120 --> 00:31:28,360
Speaker 2: Keep me away from the beaches.

606
00:31:28,600 --> 00:31:32,000
Speaker 1: Yeah, sharks just ten x their fear factor. So you've

607
00:31:32,040 --> 00:31:35,360
Speaker 1: got a man who holds the record for eating Big Max,

608
00:31:35,880 --> 00:31:39,280
Speaker 1: and he is saying that he is not impressed with

609
00:31:39,400 --> 00:31:44,080
Speaker 1: the new McDonald's new Big Arch. This guy his name,

610
00:31:44,160 --> 00:31:47,760
Speaker 1: what is his name? His name is Don Gorge. He's

611
00:31:47,800 --> 00:31:51,440
Speaker 1: seventy two years old. He's from Wisconsin. He's famous for

612
00:31:51,520 --> 00:31:54,760
Speaker 1: eating over thirty five thousand Big Macs in his life.

613
00:31:55,240 --> 00:31:58,000
Speaker 1: And he tried the new Big archburger and he said

614
00:32:00,400 --> 00:32:02,880
Speaker 1: it's a little larger, a little different style than the

615
00:32:02,880 --> 00:32:07,040
Speaker 1: double cheeseburger. But he's not liking it. He said, the

616
00:32:07,040 --> 00:32:11,040
Speaker 1: Big Arch felt like eating a steak. He won't be

617
00:32:11,160 --> 00:32:12,080
Speaker 1: ordering it again.

618
00:32:12,320 --> 00:32:15,240
Speaker 2: Felt like wouldn't be eating a steak being a good thing.

619
00:32:16,000 --> 00:32:17,960
Speaker 3: He pointed that out in the Big Mac. I guess,

620
00:32:18,040 --> 00:32:20,400
Speaker 3: I guess now this guy. I mean, he was in

621
00:32:20,440 --> 00:32:22,680
Speaker 3: the all over the news. He made a big splash

622
00:32:22,720 --> 00:32:24,840
Speaker 3: several years ago. He's got the Guinness Book of World

623
00:32:24,920 --> 00:32:27,840
Speaker 3: Records for having eat the most Big Max ever thirty

624
00:32:27,880 --> 00:32:30,280
Speaker 3: five thousand Big Macs in his lifetime.

625
00:32:30,400 --> 00:32:33,080
Speaker 2: So, I guess if we're ever looking for an expert.

626
00:32:32,640 --> 00:32:36,760
Speaker 3: On the food McDonald's, this is the guy. And McDonald's

627
00:32:36,760 --> 00:32:39,080
Speaker 3: has spent a lot of time and money rolling out

628
00:32:39,080 --> 00:32:41,440
Speaker 3: this brand new burger that they're talking about called the

629
00:32:41,440 --> 00:32:43,680
Speaker 3: Big Arch, and our McDonald expert.

630
00:32:43,400 --> 00:32:45,400
Speaker 2: Is kind of like, eh, eh, not so great.

631
00:32:45,520 --> 00:32:48,000
Speaker 1: Maybe they should have sent him a prototype before they

632
00:32:48,080 --> 00:32:49,480
Speaker 1: launched it. Get his opinion.

633
00:32:49,680 --> 00:32:51,800
Speaker 2: This is the guy McDonald's.

634
00:32:51,800 --> 00:32:54,400
Speaker 3: All these fast food restaurants they do test markets before

635
00:32:54,440 --> 00:32:57,400
Speaker 3: they launched something nationally. Turned out the one guy that

636
00:32:57,440 --> 00:32:59,960
Speaker 3: eats year at your food more than anybody else thirty

637
00:33:00,120 --> 00:33:02,720
Speaker 3: five thousand Big Max in his lifetime, never even talk

638
00:33:02,760 --> 00:33:04,600
Speaker 3: to him about it. He'd be the first guy I'd

639
00:33:04,640 --> 00:33:06,720
Speaker 3: have in that focus group line up. Come on, we

640
00:33:06,760 --> 00:33:08,920
Speaker 3: want to know what you know, so we've got.

641
00:33:08,880 --> 00:33:11,200
Speaker 1: The best audio of the day up next on ninety

642
00:33:11,200 --> 00:33:20,520
Speaker 1: three WIBC. I think this one qualifies for the best

643
00:33:20,560 --> 00:33:23,920
Speaker 1: audio of the day and also an interesting story. We're

644
00:33:23,960 --> 00:33:25,760
Speaker 1: sorry to be the ones to tell you this, but

645
00:33:26,480 --> 00:33:30,360
Speaker 1: there's a new trend. People are now churning butter when

646
00:33:30,400 --> 00:33:34,120
Speaker 1: they go on runs. What they're doing is they're strapping

647
00:33:34,240 --> 00:33:37,720
Speaker 1: cream to their body. They go for a jog, and

648
00:33:37,760 --> 00:33:42,360
Speaker 1: then they make butter. This shows you that American ingenuity

649
00:33:42,520 --> 00:33:47,320
Speaker 1: is alive and well and producing dairy products on public trails.

650
00:33:48,240 --> 00:33:52,040
Speaker 1: I've never thought about making butter when I've exercised or

651
00:33:52,120 --> 00:33:55,880
Speaker 1: when we've gone hiking, but hey, why not little after

652
00:33:56,080 --> 00:33:56,800
Speaker 1: run snack?

653
00:33:56,920 --> 00:33:57,920
Speaker 2: I guess yeah.

654
00:33:58,000 --> 00:34:00,760
Speaker 3: I love everything about this story. Have a soft spot

655
00:34:00,800 --> 00:34:05,520
Speaker 3: in my heart for people that take something super niche

656
00:34:05,560 --> 00:34:08,719
Speaker 3: and ridiculous and go all in on it. So for

657
00:34:08,800 --> 00:34:13,799
Speaker 3: starters making your own butter at home, Okay, fine, I

658
00:34:13,840 --> 00:34:15,960
Speaker 3: guess if you want to, But if you actually it's

659
00:34:16,000 --> 00:34:19,400
Speaker 3: a lot of work and butter's pretty inexpensive at the store.

660
00:34:19,160 --> 00:34:19,719
Speaker 2: To stay there.

661
00:34:19,840 --> 00:34:21,880
Speaker 1: Some people like to, you know, add their own spices,

662
00:34:21,920 --> 00:34:25,440
Speaker 1: maybe rosemary butter or garlic butter. They add different things

663
00:34:25,440 --> 00:34:26,680
Speaker 1: to it to give it a little kick.

664
00:34:26,760 --> 00:34:28,879
Speaker 3: No, I understand, I can do that by buying store

665
00:34:28,920 --> 00:34:31,200
Speaker 3: bought butter and then adding those things. I don't need

666
00:34:31,239 --> 00:34:33,560
Speaker 3: to make my own butter from cream, but fine, you

667
00:34:33,600 --> 00:34:35,400
Speaker 3: do you. I love people that go all in on

668
00:34:35,520 --> 00:34:38,160
Speaker 3: ulternate things. But making butter at home is already a

669
00:34:38,239 --> 00:34:41,920
Speaker 3: you know, a slow process. But then to put it

670
00:34:41,960 --> 00:34:44,839
Speaker 3: in a plastic container and then throw it in your

671
00:34:44,880 --> 00:34:47,239
Speaker 3: backpack before you go on a ten mile run, so

672
00:34:47,280 --> 00:34:49,840
Speaker 3: that when you're done, your cream has turned into butter.

673
00:34:50,120 --> 00:34:51,239
Speaker 2: Yeah, I love that.

674
00:34:51,480 --> 00:34:53,880
Speaker 1: Not only do they have to strap it on their

675
00:34:53,920 --> 00:34:57,920
Speaker 1: back run many miles have it churn while they're running,

676
00:34:58,400 --> 00:35:01,640
Speaker 1: but then they have to drain it because there's still

677
00:35:01,640 --> 00:35:03,560
Speaker 1: gonna be some liquid in. I mean, this is a

678
00:35:03,560 --> 00:35:06,680
Speaker 1: full process. Check this out. When was the last time

679
00:35:06,880 --> 00:35:09,719
Speaker 1: you made butter and ran simultaneously.

680
00:35:10,080 --> 00:35:10,719
Speaker 2: It's been a while.

681
00:35:10,920 --> 00:35:14,480
Speaker 1: You may be asking yourself what the real question is.

682
00:35:14,880 --> 00:35:18,799
Speaker 1: Why not? Yeah, you hear that.

683
00:35:18,800 --> 00:35:20,160
Speaker 2: That's the sound of butter churning.

684
00:35:20,520 --> 00:35:22,799
Speaker 7: All right, miles and we're gonna do a butter check.

685
00:35:22,880 --> 00:35:27,080
Speaker 7: You're gonna, oh, still not quite where we would like

686
00:35:27,080 --> 00:35:29,040
Speaker 7: it to be. So we're gonna we're gonna keep on

687
00:35:29,120 --> 00:35:32,320
Speaker 7: churning and burning mile flour.

688
00:35:32,760 --> 00:35:35,040
Speaker 2: She's getting real creamy in there.

689
00:35:36,280 --> 00:35:37,640
Speaker 7: Just finished five and.

690
00:35:37,640 --> 00:35:38,440
Speaker 1: A half miles.

691
00:35:38,640 --> 00:35:39,880
Speaker 7: Almost not quite.

692
00:35:39,960 --> 00:35:41,200
Speaker 1: Let's see if you made some butter.

693
00:35:42,719 --> 00:35:54,879
Speaker 7: Wow, you gotta juice the butt.

694
00:35:54,960 --> 00:35:57,839
Speaker 2: Now we have to juice the butter. Bring the butter out.

695
00:35:57,880 --> 00:36:01,640
Speaker 7: I don't know if you v you just made but yeah.

696
00:36:01,800 --> 00:36:04,520
Speaker 1: So at the end there they're spreading their recently churned

697
00:36:04,520 --> 00:36:07,200
Speaker 1: butter onto some bread. So this is either the most

698
00:36:07,200 --> 00:36:11,160
Speaker 1: efficient use of a run in human history, or it's

699
00:36:11,160 --> 00:36:13,000
Speaker 1: a sign that we have way too much time on

700
00:36:13,040 --> 00:36:16,840
Speaker 1: our hands, possibly both. The part that really disturbed me.

701
00:36:17,040 --> 00:36:17,640
Speaker 2: Yeah, they were.

702
00:36:17,560 --> 00:36:20,480
Speaker 1: Running five and a half mile, right exactly.

703
00:36:20,640 --> 00:36:22,120
Speaker 2: I'm more offended to do it.

704
00:36:22,239 --> 00:36:24,360
Speaker 3: I'm more offended at the concept of a five and

705
00:36:24,360 --> 00:36:25,719
Speaker 3: a half mile run than I am.

706
00:36:25,840 --> 00:36:27,160
Speaker 2: Churning butter as you do it.

707
00:36:27,200 --> 00:36:29,960
Speaker 3: I love how she even has her own catchphrase for it,

708
00:36:30,320 --> 00:36:31,719
Speaker 3: churning and burning.

709
00:36:32,000 --> 00:36:33,120
Speaker 2: Churning and burning.

710
00:36:33,719 --> 00:36:37,200
Speaker 1: I could not do it. Sorry, If it takes that

711
00:36:37,320 --> 00:36:40,239
Speaker 1: many miles of running to churn your butter, I'm out.

712
00:36:40,480 --> 00:36:43,640
Speaker 3: Look, it's a big, bad, difficult world and we're all

713
00:36:43,680 --> 00:36:45,839
Speaker 3: just grabbing on for dear life, trying to get through

714
00:36:45,920 --> 00:36:46,840
Speaker 3: the day each day.

715
00:36:47,120 --> 00:36:48,360
Speaker 2: If you want to make.

716
00:36:48,320 --> 00:36:51,520
Speaker 3: Butter, churn butter while you're running, if that makes you

717
00:36:51,600 --> 00:36:53,680
Speaker 3: a little bit happier at the end of the day,

718
00:36:53,840 --> 00:36:56,279
Speaker 3: I'm all four. Not for me, I'm not going to

719
00:36:56,360 --> 00:36:56,600
Speaker 3: do it.

720
00:36:56,640 --> 00:36:57,000
Speaker 1: I'm out.

721
00:36:57,040 --> 00:36:58,000
Speaker 2: But I'm happy that.

722
00:36:57,960 --> 00:37:00,600
Speaker 3: She enjoys it, and then she gets the you know,

723
00:37:00,640 --> 00:37:01,760
Speaker 3: some entertainment value.

724
00:37:01,920 --> 00:37:05,719
Speaker 1: Well, I guess the one little added benefit of this

725
00:37:05,840 --> 00:37:08,160
Speaker 1: is when you're churning the butter while you're running, at

726
00:37:08,200 --> 00:37:10,640
Speaker 1: the end of your run, you've got a little, you know,

727
00:37:11,200 --> 00:37:14,719
Speaker 1: protein filled snack for you. Just remember to take the

728
00:37:14,760 --> 00:37:16,200
Speaker 1: bread before you leave the house.

729
00:37:16,280 --> 00:37:17,440
Speaker 2: You know, everybody's got their thing.

730
00:37:17,440 --> 00:37:20,000
Speaker 3: I always loved Elvis impersonators because that just blows my

731
00:37:20,080 --> 00:37:22,279
Speaker 3: mind that somebody would dedicate that much time of their

732
00:37:22,320 --> 00:37:26,440
Speaker 3: life to impersonating Elvis. Sourdough bread that got big during COVID.

733
00:37:26,719 --> 00:37:28,719
Speaker 3: That's a difficult thing to do. People spend a lot

734
00:37:28,760 --> 00:37:31,200
Speaker 3: of time on sourdough bread. We just talked about the

735
00:37:31,200 --> 00:37:34,000
Speaker 3: guy who eats a big mac every day. He's eating

736
00:37:34,120 --> 00:37:36,640
Speaker 3: thirty five thousand of them. I love it when somebody

737
00:37:36,680 --> 00:37:39,600
Speaker 3: kind of takes something small and makes it their whole personality.

738
00:37:39,719 --> 00:37:42,399
Speaker 1: They are all in on the churn and butter. While

739
00:37:42,400 --> 00:37:45,040
Speaker 1: you're running, you're listening to Casey and Jim It is

740
00:37:45,160 --> 00:37:47,040
Speaker 1: ninety three, WIV sing.

741
00:38:00,080 --> 00:38:09,480
Speaker 6: Okay, want to montmers

742
00:38:21,400 --> 00:38:25,440
Speaker 1: In and