1
00:00:00,080 --> 00:00:03,320
Speaker 1: Welcome to today's edition of the Clay Travis and Buck

2
00:00:03,360 --> 00:00:08,000
Speaker 1: Sexton Show podcast. Welcome in Clay Travis Buck Sexton Show.

3
00:00:08,000 --> 00:00:10,480
Speaker 1: Appreciate all of you hanging out with us as we

4
00:00:10,680 --> 00:00:14,280
Speaker 1: rolled through the Tuesday edition of the program. I am

5
00:00:14,360 --> 00:00:18,360
Speaker 1: back home in Nashville, Tennessee. Appreciate again all the great

6
00:00:18,400 --> 00:00:22,440
Speaker 1: hospitality showed to me out in Phoenix. Home here. Buck

7
00:00:22,640 --> 00:00:27,440
Speaker 1: is in the South Pacific on his honeymoon, and we

8
00:00:27,560 --> 00:00:32,479
Speaker 1: have got a bevy of stories to dive into the

9
00:00:32,600 --> 00:00:37,680
Speaker 1: Brookings Institute. We finally got a response from the Brookings Institute,

10
00:00:37,720 --> 00:00:41,680
Speaker 1: which named this show in conjunction with Rush Limbaugh, the

11
00:00:41,880 --> 00:00:46,479
Speaker 1: number three purveyor of misinformation in all of political talk.

12
00:00:47,000 --> 00:00:50,400
Speaker 1: We will discuss that we got a missile that was

13
00:00:50,479 --> 00:00:55,520
Speaker 1: fired in Michigan at an object we still can identify,

14
00:00:56,080 --> 00:01:00,560
Speaker 1: and we missed. Well. I am blown away by this.

15
00:01:01,200 --> 00:01:04,280
Speaker 1: We took one of our fighter jets up to shoot

16
00:01:04,319 --> 00:01:08,840
Speaker 1: down an unidentified flying object over Lake Huron in Michigan,

17
00:01:09,480 --> 00:01:14,000
Speaker 1: and we missed. Lucas Tomlinson with that report, meaning there

18
00:01:14,040 --> 00:01:17,200
Speaker 1: was just a missile flying around that landed somewhere in

19
00:01:17,280 --> 00:01:21,440
Speaker 1: Lake Huron. Can you imagine if you had been out

20
00:01:21,560 --> 00:01:24,520
Speaker 1: on a boat or out on a schemobile. I don't

21
00:01:24,520 --> 00:01:27,679
Speaker 1: know if Lake Huron's totally frozen over right now to

22
00:01:27,720 --> 00:01:31,640
Speaker 1: where I got engaged by the way up at Mackinaw Island,

23
00:01:31,680 --> 00:01:36,200
Speaker 1: which is fabulous. How do we miss we missed? We'll

24
00:01:36,200 --> 00:01:39,399
Speaker 1: talk about it. Nicky Haley has announced her run officially

25
00:01:39,480 --> 00:01:43,319
Speaker 1: for president, joining Donald Trump. And is it John Bolton?

26
00:01:43,360 --> 00:01:45,240
Speaker 1: I can't even remember who else announced. I think it

27
00:01:45,280 --> 00:01:48,240
Speaker 1: was John Bolton. We'll discuss Nicky Haley, the impact, how

28
00:01:48,280 --> 00:01:51,440
Speaker 1: do we see it from there? The View aka the

29
00:01:51,520 --> 00:01:55,360
Speaker 1: dumbest show in all of television, had a whale of

30
00:01:55,400 --> 00:01:58,200
Speaker 1: a take on black quarterbacks in the wake of the

31
00:01:58,240 --> 00:02:02,240
Speaker 1: Super Bowl and LA. While it didn't come down very

32
00:02:02,320 --> 00:02:06,240
Speaker 1: much in January, it's at six point four percent under Biden.

33
00:02:06,680 --> 00:02:09,760
Speaker 1: In December it was six point five percent, so it

34
00:02:10,040 --> 00:02:14,720
Speaker 1: narrowly ticked down. This suggests that inflation is going to

35
00:02:14,760 --> 00:02:18,919
Speaker 1: be very stubborn and may well persist throughout much of

36
00:02:19,040 --> 00:02:23,440
Speaker 1: twenty twenty three. This is particularly galling for many of

37
00:02:23,480 --> 00:02:26,799
Speaker 1: you out there who are dealing with six point four

38
00:02:26,840 --> 00:02:31,680
Speaker 1: percent inflation and the average wage has not increased anywhere

39
00:02:31,760 --> 00:02:35,520
Speaker 1: near that level. So we will break all of that

40
00:02:35,560 --> 00:02:37,720
Speaker 1: down and more We are scheduled to be joined by

41
00:02:37,760 --> 00:02:43,840
Speaker 1: Sarah Huckabe Sanders, Governor of Arkansas, and Vivek Ramaswamy Woke, Inc.

42
00:02:43,880 --> 00:02:48,320
Speaker 1: Author he is contemplating a run for president. All of

43
00:02:48,360 --> 00:02:52,040
Speaker 1: that coming in your direction, but I wanted to start

44
00:02:52,080 --> 00:02:56,200
Speaker 1: with the Brookings Institute. I don't know a ton about

45
00:02:56,240 --> 00:03:00,239
Speaker 1: the Brookings Institute. I haven't spent a lot of time

46
00:03:00,600 --> 00:03:03,960
Speaker 1: focused on them because I have a life, and I

47
00:03:04,000 --> 00:03:07,120
Speaker 1: don't spend very much time focused on think tanks in general,

48
00:03:07,520 --> 00:03:10,359
Speaker 1: because by and large, think tanks are just funded by

49
00:03:10,480 --> 00:03:13,640
Speaker 1: rich people who want their ideas to get out there

50
00:03:14,400 --> 00:03:18,520
Speaker 1: and otherwise are not willing to do the work themselves.

51
00:03:18,720 --> 00:03:23,639
Speaker 1: That's my general proposition on think tanks. So what is

52
00:03:23,720 --> 00:03:30,360
Speaker 1: really intriguing, in my opinion, associated with this is the

53
00:03:30,480 --> 00:03:34,240
Speaker 1: New York Times and the Brooking Institute worked in concert

54
00:03:34,840 --> 00:03:40,240
Speaker 1: to release a list of the places that most misinformed

55
00:03:40,280 --> 00:03:44,480
Speaker 1: their audience, and they put this on the front page

56
00:03:44,560 --> 00:03:49,360
Speaker 1: of the Friday New York Times Business. And for all

57
00:03:49,400 --> 00:03:51,800
Speaker 1: of you out there, you may have heard me talking

58
00:03:51,800 --> 00:03:55,960
Speaker 1: about this. I believe on Friday, I said, okay, buck,

59
00:03:56,000 --> 00:03:59,360
Speaker 1: and I endeavor every single day to be as honest

60
00:03:59,360 --> 00:04:02,360
Speaker 1: and transparent with you as we can, and the difference

61
00:04:02,400 --> 00:04:07,600
Speaker 1: obviously between facts and opinions, But opinions are only as

62
00:04:07,680 --> 00:04:10,680
Speaker 1: good as the facts upon which they are based. So

63
00:04:11,280 --> 00:04:15,600
Speaker 1: if you get a fact wrong, it undercuts your own

64
00:04:15,600 --> 00:04:20,000
Speaker 1: opinion because it's built on a foundation of inaccuracy. That's

65
00:04:20,040 --> 00:04:22,880
Speaker 1: a very basic explanation for what we try to do.

66
00:04:23,880 --> 00:04:27,520
Speaker 1: And so when I saw this story, it did not

67
00:04:27,680 --> 00:04:31,160
Speaker 1: only mention the Clay and Buck Show, it also mentioned

68
00:04:31,279 --> 00:04:36,120
Speaker 1: the Russia Limboss Show, And obviously Russia has been dead

69
00:04:36,160 --> 00:04:41,720
Speaker 1: for almost two years now, and that is a long

70
00:04:41,839 --> 00:04:45,480
Speaker 1: time for a study to be looking at both Russia

71
00:04:45,480 --> 00:04:50,000
Speaker 1: Limboss Show and our show, not to mention that Rush

72
00:04:50,040 --> 00:04:54,719
Speaker 1: died in February two years ago, and there wasn't any

73
00:04:54,880 --> 00:04:58,560
Speaker 1: new shows. As you guys well know, they played best

74
00:04:58,600 --> 00:05:02,119
Speaker 1: of Russia Limbaugh for months until Buck and I came

75
00:05:02,520 --> 00:05:06,040
Speaker 1: and started working in this time slot in June of

76
00:05:06,279 --> 00:05:10,320
Speaker 1: twenty twenty one. So my first thought was, how in

77
00:05:10,360 --> 00:05:15,159
Speaker 1: the world are they tying Rusha's show into our show?

78
00:05:15,680 --> 00:05:18,680
Speaker 1: And my second thought, because that's a long time frame,

79
00:05:19,279 --> 00:05:22,640
Speaker 1: my second thought was how what in the world are

80
00:05:22,640 --> 00:05:26,800
Speaker 1: they classifying as misinformation? And so when I was reading

81
00:05:26,800 --> 00:05:30,280
Speaker 1: the New York Times front page, in the Business section

82
00:05:30,480 --> 00:05:37,839
Speaker 1: Friday edition. They said researchers at Brookings downloaded and transcribed

83
00:05:38,279 --> 00:05:42,839
Speaker 1: thirty six thousand, six hundred and three podcast episodes from

84
00:05:42,960 --> 00:05:47,160
Speaker 1: seventy nine political talk shows that had been released before

85
00:05:47,760 --> 00:05:52,359
Speaker 1: January's twenty second of twenty twenty two. So this is

86
00:05:52,400 --> 00:05:55,599
Speaker 1: the very definition not only I believe of fake news,

87
00:05:55,920 --> 00:05:59,880
Speaker 1: but also old news. So they are looking at show

88
00:06:00,560 --> 00:06:05,720
Speaker 1: that were released before January twenty second of twenty twenty two.

89
00:06:06,320 --> 00:06:10,120
Speaker 1: So that's a strange standard. That means, for instance, for

90
00:06:10,279 --> 00:06:15,080
Speaker 1: our show, they only used at most six months of

91
00:06:15,120 --> 00:06:19,520
Speaker 1: this radio program. But I went on Friday and I said, look,

92
00:06:20,160 --> 00:06:24,720
Speaker 1: I want to know what you have classified as misinformation.

93
00:06:25,440 --> 00:06:29,480
Speaker 1: What is out there Brookings Institute, that you believe we

94
00:06:29,520 --> 00:06:33,680
Speaker 1: are being dishonest about And I would like for you

95
00:06:34,040 --> 00:06:39,360
Speaker 1: to come on and explain what exactly we did that

96
00:06:39,560 --> 00:06:44,920
Speaker 1: was misinformation. We were number three on the misinformation list,

97
00:06:45,080 --> 00:06:48,400
Speaker 1: Steve Bannon, to his credit number one overall, we were

98
00:06:48,480 --> 00:06:52,479
Speaker 1: number three, and so we sent an email. I read

99
00:06:52,520 --> 00:06:57,160
Speaker 1: you that email yesterday. Brookings Institute finally got back to

100
00:06:57,279 --> 00:07:02,200
Speaker 1: us last night and said they our quote not available

101
00:07:02,279 --> 00:07:06,359
Speaker 1: for an interview. Well wait a minute. We offered them

102
00:07:06,760 --> 00:07:10,400
Speaker 1: any day this week, said we will make time for

103
00:07:10,440 --> 00:07:15,200
Speaker 1: you and your lead researcher or any other communications expert

104
00:07:15,200 --> 00:07:18,760
Speaker 1: at the Brookings Institute who is familiar with your findings,

105
00:07:18,960 --> 00:07:21,520
Speaker 1: which you were released directly to the New York Times,

106
00:07:21,520 --> 00:07:24,160
Speaker 1: and the New York Times immediately put on the front

107
00:07:24,200 --> 00:07:27,640
Speaker 1: page of their business section in the Friday edition of

108
00:07:27,680 --> 00:07:31,000
Speaker 1: the newspaper widely distributed, had a graphic with Clay and

109
00:07:31,040 --> 00:07:34,560
Speaker 1: buck up there it's called us top Purveyors of Misinformation,

110
00:07:35,560 --> 00:07:38,120
Speaker 1: and we said you can come on any day this week.

111
00:07:38,680 --> 00:07:41,760
Speaker 1: You can speak to our audience, biggest radio audience in

112
00:07:41,760 --> 00:07:45,920
Speaker 1: the country. If you believe that we are spreading misinformation,

113
00:07:46,600 --> 00:07:50,320
Speaker 1: you have an opportunity to directly confront us right in

114
00:07:50,360 --> 00:07:53,800
Speaker 1: front of this entire audience, and explain what we've been sharing.

115
00:07:53,800 --> 00:07:58,960
Speaker 1: That's misinformation, they said, and I quote they are not

116
00:07:59,120 --> 00:08:04,240
Speaker 1: available for an interview at all. So this is important.

117
00:08:04,280 --> 00:08:09,680
Speaker 1: Right we get attacked on this program for spreading misinformation,

118
00:08:10,000 --> 00:08:15,800
Speaker 1: our response is to immediately say, Okay, you made this attack,

119
00:08:16,200 --> 00:08:19,240
Speaker 1: you made this criticism. You are welcome to come on

120
00:08:19,360 --> 00:08:23,480
Speaker 1: this program and explain what misinformation you have found. And

121
00:08:23,520 --> 00:08:27,920
Speaker 1: this is important because I would venture that much of

122
00:08:27,960 --> 00:08:31,520
Speaker 1: the quote misinformation that they found from over a year ago.

123
00:08:32,280 --> 00:08:36,640
Speaker 1: Was us on this program saying, hey, the data is

124
00:08:36,720 --> 00:08:41,880
Speaker 1: reflecting that the COVID shot doesn't prevent or stop transmission

125
00:08:41,880 --> 00:08:44,880
Speaker 1: of COVID. Because that's something that we were certainly saying

126
00:08:45,440 --> 00:08:48,480
Speaker 1: in the summer of twenty twenty one, when almost no

127
00:08:48,520 --> 00:08:52,840
Speaker 1: one else was saying it that was considered misinformation. Then

128
00:08:54,040 --> 00:09:01,439
Speaker 1: it's now one conventional wisdom. In other words, it's important

129
00:09:01,480 --> 00:09:06,400
Speaker 1: to point out when misinformation is not misinformation at all,

130
00:09:06,880 --> 00:09:11,000
Speaker 1: it's just inconveniently ahead of what the public narrative is.

131
00:09:11,920 --> 00:09:14,160
Speaker 1: And I want to continue to hammer this home because

132
00:09:14,520 --> 00:09:18,200
Speaker 1: this unholy alliance between the Brookings Institute and the New

133
00:09:18,280 --> 00:09:22,400
Speaker 1: York Times is an important signpost for what's going on

134
00:09:22,520 --> 00:09:26,800
Speaker 1: here because this article, which is written by the New

135
00:09:26,840 --> 00:09:29,880
Speaker 1: York Times, which was based on information that the Brookings

136
00:09:29,920 --> 00:09:35,560
Speaker 1: Institute is unwilling or unable to provide to us, it

137
00:09:35,720 --> 00:09:39,880
Speaker 1: is designed to try to attack this program and keep

138
00:09:40,040 --> 00:09:44,560
Speaker 1: us from being widely distributed on podcast. Listen to the

139
00:09:44,559 --> 00:09:47,080
Speaker 1: paragraph that I'm going to read you from the New

140
00:09:47,200 --> 00:09:53,400
Speaker 1: York Times article. The findings underscore the vital role Apple,

141
00:09:53,640 --> 00:09:59,199
Speaker 1: Google and a constellation of podcast apps play in connecting

142
00:09:59,360 --> 00:10:05,840
Speaker 1: disin information peddlers to their audience. This article is designed

143
00:10:05,880 --> 00:10:10,120
Speaker 1: to put pressure on Apple, Google, everyone who shares the

144
00:10:10,200 --> 00:10:16,280
Speaker 1: Clay and Buck podcast because we are spreading disinformation. We

145
00:10:16,360 --> 00:10:21,640
Speaker 1: are disinformation peddlers, according to The New York Times. Now,

146
00:10:21,679 --> 00:10:25,440
Speaker 1: what does that mean. What's a disinformation peddler? What if

147
00:10:25,480 --> 00:10:29,079
Speaker 1: we actually said that's untrue? Well, the Brookings Institute won't

148
00:10:29,080 --> 00:10:31,280
Speaker 1: tell us. By the way, we should reach out Ali.

149
00:10:32,320 --> 00:10:37,720
Speaker 1: Let's reach out to Stuart A. Thompson, the article author

150
00:10:37,880 --> 00:10:42,160
Speaker 1: at the New York Times Business section, Stuart A. Thompson.

151
00:10:42,280 --> 00:10:45,720
Speaker 1: Let's invite Stuart A. Thompson to come on at The

152
00:10:45,720 --> 00:10:49,679
Speaker 1: New York Times and explain why and how we are

153
00:10:49,800 --> 00:10:55,280
Speaker 1: disinformation peddlers and what his goal was when he said Apple,

154
00:10:55,400 --> 00:10:59,320
Speaker 1: Google and a constellation of podcast apps have to take

155
00:10:59,360 --> 00:11:05,199
Speaker 1: it an aim at these disinformation peddlers. Also said that

156
00:11:05,760 --> 00:11:12,120
Speaker 1: there were much criticism for misinformation about COVID nineteen and vaccines.

157
00:11:12,840 --> 00:11:17,560
Speaker 1: Big tech companies have taken a largely handsoff approach to

158
00:11:17,679 --> 00:11:21,520
Speaker 1: podcast content and avoiding the kind of scrutiny that is

159
00:11:21,600 --> 00:11:25,320
Speaker 1: dog social networks for years. The companies say they have

160
00:11:25,400 --> 00:11:30,480
Speaker 1: little responsibility for podcast content because they are effectively search

161
00:11:30,640 --> 00:11:36,440
Speaker 1: engines connecting listeners to shows but never hosting content. The

162
00:11:36,600 --> 00:11:41,120
Speaker 1: companies have policies that ban hateful language or content that

163
00:11:41,280 --> 00:11:47,320
Speaker 1: might incite violence, but researchers said those policies were vague

164
00:11:47,679 --> 00:11:54,319
Speaker 1: and poorly enforced, allowing false content to spread. I'm gonna

165
00:11:54,400 --> 00:11:56,880
Speaker 1: keep hammering this home because I think it's important. I'm

166
00:11:56,880 --> 00:11:59,120
Speaker 1: gonna open up phone lines eight hundred two A two

167
00:11:59,200 --> 00:12:02,000
Speaker 1: to eight A two continue to read from this New

168
00:12:02,080 --> 00:12:05,560
Speaker 1: York Times article because it's important for all of you

169
00:12:05,640 --> 00:12:10,440
Speaker 1: to understand that this show is being attacked because of

170
00:12:10,480 --> 00:12:14,200
Speaker 1: the massive influence that we have, and it's being attacked

171
00:12:14,240 --> 00:12:17,640
Speaker 1: in a way that is so fundamentally dishonest that the

172
00:12:17,679 --> 00:12:21,520
Speaker 1: people who are doing the attack won't even support any

173
00:12:21,640 --> 00:12:25,080
Speaker 1: of the attacks that they are levying against us. I'll

174
00:12:25,120 --> 00:12:27,680
Speaker 1: take your calls on this, but I think it's important

175
00:12:27,679 --> 00:12:31,760
Speaker 1: to take you guys behind the curtain and explain exactly

176
00:12:31,800 --> 00:12:36,400
Speaker 1: what's going on and how this show is basically a

177
00:12:36,480 --> 00:12:40,000
Speaker 1: canary in a coal mine for what is happening in

178
00:12:40,040 --> 00:12:47,080
Speaker 1: the larger ecosystem of news discussion of political talk in general.

179
00:12:47,440 --> 00:12:51,960
Speaker 1: This is really really important because it goes to the

180
00:12:52,120 --> 00:12:55,800
Speaker 1: essence of whether we have a free and fair discussion

181
00:12:56,240 --> 00:13:02,200
Speaker 1: surrounding this country at all. But we'll take your calls.

182
00:13:02,200 --> 00:13:04,040
Speaker 1: I'm gonna continue to read more from this New York

183
00:13:04,040 --> 00:13:06,240
Speaker 1: Times article and explain you exactly how this goes on.

184
00:13:06,640 --> 00:13:09,240
Speaker 1: In the meantime, it's great to be back in Nashville

185
00:13:09,280 --> 00:13:12,800
Speaker 1: after a fantastic week in Phoenix, and it is amazing

186
00:13:13,160 --> 00:13:15,439
Speaker 1: to be sleeping on the Giza dreamsheets and the new

187
00:13:15,480 --> 00:13:17,680
Speaker 1: My Pillow two point zero from Mike Lindell and his

188
00:13:17,760 --> 00:13:21,079
Speaker 1: team Pillows arrived just as we were leaving for Phoenix.

189
00:13:21,120 --> 00:13:24,079
Speaker 1: So boom last night, first chance I had to experience

190
00:13:24,160 --> 00:13:27,559
Speaker 1: the new upgrade My Pillow two point zero. Patented adjustable

191
00:13:27,559 --> 00:13:30,160
Speaker 1: fill of the original My Pillow now has brand new

192
00:13:30,200 --> 00:13:34,720
Speaker 1: exclusive fabric made with temperature regulating threads. My Pillow two

193
00:13:34,760 --> 00:13:37,240
Speaker 1: point zero Buy one, get one free for a limited

194
00:13:37,280 --> 00:13:39,840
Speaker 1: time with our names as the promo code, Clay and Buck.

195
00:13:40,240 --> 00:13:43,520
Speaker 1: My Pillow two point zero made with temperature regulating technology,

196
00:13:43,559 --> 00:13:47,200
Speaker 1: one hundred percent sourced in the United States. Pillow comes

197
00:13:47,200 --> 00:13:49,640
Speaker 1: with a ten year warranty and a sixty day money

198
00:13:49,640 --> 00:13:52,640
Speaker 1: back guarantee. Go to my pillow dot com click on

199
00:13:52,679 --> 00:13:55,280
Speaker 1: the Radio Listeners special square to get this Buy one,

200
00:13:55,360 --> 00:13:58,840
Speaker 1: get one free offer on the My Pillow two point zero.

201
00:13:58,920 --> 00:14:02,000
Speaker 1: Treat yourself to the fabulous new Pillow as I myself

202
00:14:02,040 --> 00:14:04,480
Speaker 1: am doing. Enter the promo code Clay and Buck. You

203
00:14:04,480 --> 00:14:08,600
Speaker 1: can also call eight hundred seven nine two thirty two

204
00:14:08,679 --> 00:14:11,720
Speaker 1: sixty nine to get your My Pillow two point zero Today.

205
00:14:12,760 --> 00:14:17,680
Speaker 1: Clay Travis at Buck Sexton making sense in an insane world,

206
00:14:17,760 --> 00:14:22,840
Speaker 1: taking you behind the scenes for what attacks on this

207
00:14:22,920 --> 00:14:28,160
Speaker 1: program look like, how they are designed, how dishonest they are,

208
00:14:28,640 --> 00:14:33,560
Speaker 1: how quickly people like the Brookings Institute and The New

209
00:14:33,640 --> 00:14:36,880
Speaker 1: York Times run and hide when you ask them to

210
00:14:37,080 --> 00:14:42,080
Speaker 1: stand behind whatever they're saying. I'll go on anywhere. Now.

211
00:14:42,120 --> 00:14:46,680
Speaker 1: I'm banned on CNN, I'm banned on ESPN, but I

212
00:14:46,760 --> 00:14:50,720
Speaker 1: would go on CNN, I would go on MSNBC. I

213
00:14:50,760 --> 00:14:54,000
Speaker 1: will stand up for what I believe in because I'm

214
00:14:54,000 --> 00:14:56,960
Speaker 1: not afraid of being attacked for what I believe in.

215
00:14:58,000 --> 00:15:02,840
Speaker 1: These people attack you, they use their propaganda outlets, and

216
00:15:02,960 --> 00:15:06,400
Speaker 1: then when you give them an opportunity to actually explain themselves,

217
00:15:06,440 --> 00:15:09,800
Speaker 1: they won't do it because the rig job is not

218
00:15:09,880 --> 00:15:13,240
Speaker 1: a fair fight. I'm reading from the New York Times.

219
00:15:13,240 --> 00:15:15,520
Speaker 1: This is the crux of what they're trying to do.

220
00:15:16,320 --> 00:15:21,560
Speaker 1: Apple and Google software connects to listeners with podcast using

221
00:15:21,600 --> 00:15:27,720
Speaker 1: an algorithm that surfaces recommended shows. Ivy Choi, a spokeswoman

222
00:15:27,800 --> 00:15:32,160
Speaker 1: for Google, said the company did not recommend shows through

223
00:15:32,240 --> 00:15:38,320
Speaker 1: its algorithm if they contain quote harmful misinformation. What is

224
00:15:38,360 --> 00:15:44,720
Speaker 1: harmful misinformation? Well, because of this Brookings Institute story, the

225
00:15:44,880 --> 00:15:50,520
Speaker 1: Clay and Buck show contains harmful misinformation. What is that

226
00:15:50,640 --> 00:15:54,800
Speaker 1: harmful misinformation? No one will tell us, but it gives

227
00:15:54,840 --> 00:15:58,720
Speaker 1: the cover to Google to keep people from coming across

228
00:15:58,840 --> 00:16:03,120
Speaker 1: this podcast and experiencing the opinions that are shared here.

229
00:16:03,760 --> 00:16:09,840
Speaker 1: This is how rig jobs work, a spokeswoman for Apple.

230
00:16:10,200 --> 00:16:14,640
Speaker 1: A spokesman for Apple declined to comment, so The New

231
00:16:14,760 --> 00:16:19,760
Speaker 1: York Times, citing the Brookings Institute, reaches out to Google

232
00:16:19,840 --> 00:16:24,480
Speaker 1: and Apple, says these shows, including Clay and Buck, are

233
00:16:24,600 --> 00:16:30,880
Speaker 1: harmful spreaders of misinformation and tries to immediately put pressure

234
00:16:31,360 --> 00:16:35,720
Speaker 1: on those podcast companies not to allow you to find

235
00:16:35,880 --> 00:16:39,680
Speaker 1: this show. That's how the game works. That's how they

236
00:16:39,800 --> 00:16:44,800
Speaker 1: rig things so that their chosen forms of information, which,

237
00:16:44,840 --> 00:16:47,360
Speaker 1: by the way, think Joe Biden is the greatest president

238
00:16:47,360 --> 00:16:51,480
Speaker 1: who's ever lived. Coincidentally, and that Democrats are the greatest

239
00:16:51,520 --> 00:16:56,480
Speaker 1: party that has ever existed received preferential treatment, so their

240
00:16:56,640 --> 00:17:01,320
Speaker 1: ideas in the marketplace of ideas are more easily disseminated,

241
00:17:01,840 --> 00:17:04,359
Speaker 1: so that your kids and your grandkids, who may not

242
00:17:04,480 --> 00:17:06,879
Speaker 1: know this show exist because they don't listen to radio

243
00:17:07,040 --> 00:17:10,280
Speaker 1: very much, can't get exposed to the ideas that we

244
00:17:10,320 --> 00:17:15,880
Speaker 1: are trying to share on our podcast. That's how the

245
00:17:15,960 --> 00:17:23,040
Speaker 1: sausage is made. It's a huge rig job rooted in dishonesty.

246
00:17:23,600 --> 00:17:27,280
Speaker 1: They are accusing us of misinformation. I invite them on

247
00:17:27,359 --> 00:17:30,639
Speaker 1: the program to explain exactly what they mean, but the

248
00:17:30,720 --> 00:17:35,200
Speaker 1: gig is already up. Apple and Google are already coming

249
00:17:35,240 --> 00:17:38,160
Speaker 1: after this show because of this study, which has no

250
00:17:38,200 --> 00:17:42,080
Speaker 1: basis in truth, which the New York Times propagated based

251
00:17:42,080 --> 00:17:46,280
Speaker 1: on a Brookings Institute rig job. Open phone lines eight

252
00:17:46,359 --> 00:17:49,200
Speaker 1: hundred two eight two two eight eight two. I think

253
00:17:49,200 --> 00:17:53,000
Speaker 1: it's important for all of you to understand how dirty, nasty,

254
00:17:53,080 --> 00:17:56,560
Speaker 1: and filled with wise the media game is. That's why

255
00:17:56,720 --> 00:17:59,240
Speaker 1: I'm taking you behind the curtain. If you're a small

256
00:17:59,280 --> 00:18:01,960
Speaker 1: business owner, it's time to take advantage of a special

257
00:18:01,960 --> 00:18:06,440
Speaker 1: tax refund program offered by the IRS. If your business

258
00:18:06,440 --> 00:18:09,600
Speaker 1: has five or more employees, made it through COVID, you

259
00:18:09,640 --> 00:18:12,840
Speaker 1: could be eligible to receive a payroll tax rebate of

260
00:18:13,000 --> 00:18:16,200
Speaker 1: up to twenty six thousand dollars per employee. Not I'll

261
00:18:16,240 --> 00:18:19,840
Speaker 1: own no payback. Doesn't cost you anything because the team

262
00:18:20,000 --> 00:18:24,640
Speaker 1: at get refunds dot Com has got their own incredible

263
00:18:24,840 --> 00:18:28,480
Speaker 1: assets in terms of lawyers, they don't charge anything. They

264
00:18:28,520 --> 00:18:31,080
Speaker 1: just share part of the proceeds they've gotten back over

265
00:18:31,200 --> 00:18:34,320
Speaker 1: three billion dollars. Go to Get Refunds dot Com. Click

266
00:18:34,400 --> 00:18:37,960
Speaker 1: on qualify me, answer a few questions. Boom payroll tax

267
00:18:38,040 --> 00:18:40,720
Speaker 1: refund only available for a limited amount of time. Don't

268
00:18:40,760 --> 00:18:43,480
Speaker 1: miss out. Go to Get Refunds dot Com. No risk,

269
00:18:43,560 --> 00:18:46,680
Speaker 1: high reward. Get Refunds dot Com. Welcome back in play.

270
00:18:46,760 --> 00:18:50,320
Speaker 1: Travis buck Sexton show buck Out on the Honeymoons and

271
00:18:50,440 --> 00:18:54,920
Speaker 1: I am taking you guys into how the sausage is made.

272
00:18:55,760 --> 00:19:01,040
Speaker 1: How does it come to pass that we, this program

273
00:19:01,200 --> 00:19:04,560
Speaker 1: which you listen to every single day, are labeled the

274
00:19:04,600 --> 00:19:10,959
Speaker 1: third biggest purveyor of misinformation in the entire political realm?

275
00:19:11,800 --> 00:19:14,680
Speaker 1: How does that happen? You listen to us every day.

276
00:19:14,680 --> 00:19:16,840
Speaker 1: You might not agree with every opinion that we have.

277
00:19:17,000 --> 00:19:22,280
Speaker 1: Certainly you shouldn't because you all have functional brains yourselves,

278
00:19:22,320 --> 00:19:25,000
Speaker 1: and really the only person you should agree with all

279
00:19:25,040 --> 00:19:28,680
Speaker 1: the time on everything is yourself, and even you should

280
00:19:28,760 --> 00:19:31,800
Speaker 1: question your own opinions. I do it every day. I'm

281
00:19:31,800 --> 00:19:34,400
Speaker 1: willing to accept that I might be wrong as new

282
00:19:34,480 --> 00:19:39,000
Speaker 1: data comes in. That's what an intelligent person does. But

283
00:19:39,600 --> 00:19:44,280
Speaker 1: when you see a rig job, make no mistake, this

284
00:19:44,359 --> 00:19:48,480
Speaker 1: is laundered rig job. The Brookings Institute is a left

285
00:19:48,520 --> 00:19:51,680
Speaker 1: wing organization that doesn't like the things that we say

286
00:19:51,680 --> 00:19:55,280
Speaker 1: on this program, so they have raised tens of millions

287
00:19:55,280 --> 00:19:58,880
Speaker 1: of dollars from left wing donors. They claim that they

288
00:19:58,960 --> 00:20:06,400
Speaker 1: ran a stuff that found that we have fifteen different

289
00:20:07,520 --> 00:20:10,919
Speaker 1: misinformation elements per show. I think was the way they

290
00:20:10,960 --> 00:20:15,320
Speaker 1: defined it. Whatever it was third most in all of politics.

291
00:20:16,480 --> 00:20:18,600
Speaker 1: And when we reach out to the Brookings instit who,

292
00:20:18,640 --> 00:20:21,760
Speaker 1: we say, hey, you know what a misinformation are we

293
00:20:21,800 --> 00:20:25,520
Speaker 1: actually spreading? Can you come on and explain your study.

294
00:20:26,520 --> 00:20:28,840
Speaker 1: We're any day this week will allow you to come

295
00:20:28,840 --> 00:20:32,639
Speaker 1: on and have a forum. If you truly care about misinformation,

296
00:20:33,440 --> 00:20:37,080
Speaker 1: what you would want to do, I think is confront

297
00:20:37,160 --> 00:20:40,359
Speaker 1: people like me who are huge spreaders of misinformation and

298
00:20:40,480 --> 00:20:43,320
Speaker 1: be able to speak directly to our audience about how

299
00:20:43,359 --> 00:20:45,879
Speaker 1: you're all being hoodwinked. And I'm a huge July Er,

300
00:20:46,840 --> 00:20:50,280
Speaker 1: and you guys are being played for fools. That's what

301
00:20:50,320 --> 00:20:54,359
Speaker 1: the Brookings Institute story tells us. So we offered for

302
00:20:54,400 --> 00:20:56,719
Speaker 1: them to come on. They won't do it. We got

303
00:20:56,760 --> 00:20:59,600
Speaker 1: an offer to the New York Times, author of this article,

304
00:20:59,640 --> 00:21:02,680
Speaker 1: to come on. They won't do it because they've already

305
00:21:02,800 --> 00:21:08,440
Speaker 1: laundered their claim. They've already got Google and Apple likely

306
00:21:08,480 --> 00:21:12,720
Speaker 1: adjusting the algorithm so many people will not be able

307
00:21:12,760 --> 00:21:15,880
Speaker 1: to be exposed to this podcast because they have managed

308
00:21:15,920 --> 00:21:19,760
Speaker 1: to put out the lie that we are harmful purveyors

309
00:21:19,840 --> 00:21:24,840
Speaker 1: of disinformation, that we are making American democracy fall apart

310
00:21:24,880 --> 00:21:27,840
Speaker 1: because of what we say on this program, and therefore

311
00:21:28,119 --> 00:21:31,680
Speaker 1: Apple and Google are complicit in our lies if they

312
00:21:31,720 --> 00:21:36,040
Speaker 1: allow you to find our product there. This is how

313
00:21:36,480 --> 00:21:41,800
Speaker 1: they use the media to come after shows like this.

314
00:21:43,359 --> 00:21:46,320
Speaker 1: They set up their algorithms, and they set up their

315
00:21:46,400 --> 00:21:50,359
Speaker 1: rig jobs so that we effectively are playing in a

316
00:21:50,440 --> 00:21:53,760
Speaker 1: game where the officials have already been bought off in

317
00:21:53,840 --> 00:22:01,160
Speaker 1: favor of the opposing team. Sorry Bengals fans, Sorry Eagles

318
00:22:01,200 --> 00:22:04,280
Speaker 1: fans if you recently felt that way when you were

319
00:22:04,320 --> 00:22:06,720
Speaker 1: playing the Chiefs, and sorry to everybody who's been playing

320
00:22:06,760 --> 00:22:08,840
Speaker 1: the New England patriots for much of the past twenty

321
00:22:08,920 --> 00:22:13,240
Speaker 1: years as well. That's effectively what's going on here. We

322
00:22:13,320 --> 00:22:19,959
Speaker 1: have officials who claim to be nonpartisan, focused on the

323
00:22:20,000 --> 00:22:25,240
Speaker 1: sanctity of democracy, that are making up false allegations that

324
00:22:25,359 --> 00:22:28,680
Speaker 1: are trying to come after this show because they don't

325
00:22:28,720 --> 00:22:31,280
Speaker 1: like what we say here, because we're a threat to

326
00:22:31,800 --> 00:22:36,320
Speaker 1: their power, and so they are coming after us with

327
00:22:36,400 --> 00:22:38,479
Speaker 1: rig jobs. A lot of you want to weigh in

328
00:22:39,320 --> 00:22:41,680
Speaker 1: on what I've been sharing so far. Let's go down

329
00:22:41,680 --> 00:22:45,359
Speaker 1: to Dustin in Florida. Dustin, appreciate you listening what you

330
00:22:45,440 --> 00:22:48,439
Speaker 1: got for us. Hey, Clay, thanks for having me on. Man,

331
00:22:48,480 --> 00:22:53,080
Speaker 1: you guys have a great show. Appreciate that. Yeah, so

332
00:22:53,600 --> 00:22:55,240
Speaker 1: I kind of have a little bit of a question.

333
00:22:55,280 --> 00:22:57,760
Speaker 1: I know you're an attorney or were an attorney. I

334
00:22:57,760 --> 00:23:00,520
Speaker 1: don't know if you ever handled deformation suits or anything

335
00:23:00,560 --> 00:23:04,879
Speaker 1: like that. But you know, because where is the gray

336
00:23:04,920 --> 00:23:10,600
Speaker 1: area or that breakpoint of where somebody can publish a lie, okay,

337
00:23:11,000 --> 00:23:12,640
Speaker 1: or even or even what they say is a fact

338
00:23:12,720 --> 00:23:16,440
Speaker 1: that's unprovable so much to the point where it sway's

339
00:23:16,480 --> 00:23:20,760
Speaker 1: opinion and cuts into your ultimate bottom line. You know,

340
00:23:20,840 --> 00:23:23,520
Speaker 1: if you guys can prove over the next few months

341
00:23:23,680 --> 00:23:27,040
Speaker 1: that this article has changed algorithms and cost you guys,

342
00:23:27,359 --> 00:23:29,880
Speaker 1: let's just say millions. I mean, is there some kind

343
00:23:29,920 --> 00:23:32,240
Speaker 1: of liable suit that you guys can do against Brookings

344
00:23:32,280 --> 00:23:34,439
Speaker 1: or The New York Times for doing them. It's a

345
00:23:34,440 --> 00:23:38,840
Speaker 1: fascinating question, and there's actually a thank you for the call.

346
00:23:39,160 --> 00:23:42,640
Speaker 1: There's actually a Supreme Court case about this, I believe,

347
00:23:42,720 --> 00:23:45,639
Speaker 1: on the twenty first of this month, and we're going

348
00:23:45,720 --> 00:23:48,440
Speaker 1: to talk about it on this program as it gets

349
00:23:48,440 --> 00:23:53,080
Speaker 1: a little closer. But the essence of that case is

350
00:23:53,160 --> 00:23:57,760
Speaker 1: they are arguing that big tech companies should be liable

351
00:23:57,840 --> 00:24:01,120
Speaker 1: for the results of their algorithm. And I think it's

352
00:24:01,160 --> 00:24:03,920
Speaker 1: such an important thing out there that is not getting

353
00:24:03,920 --> 00:24:06,760
Speaker 1: a lot of discussion because a lot of times these

354
00:24:06,760 --> 00:24:10,320
Speaker 1: big tech companies, when you criticize them, they fall back

355
00:24:10,320 --> 00:24:13,120
Speaker 1: and say, well, that's not a decision we're making, that's

356
00:24:13,160 --> 00:24:19,680
Speaker 1: our algorithm. But the algorithm is manipulated and designed by

357
00:24:19,960 --> 00:24:23,719
Speaker 1: humans to produce the results that the humans want to

358
00:24:23,720 --> 00:24:28,800
Speaker 1: see the algorithm produced. So the idea that the algorithm

359
00:24:28,960 --> 00:24:33,200
Speaker 1: is in somehow not an editorial decision, in my opinion,

360
00:24:33,760 --> 00:24:38,040
Speaker 1: is wrong. The algorithm is directly determined based on what

361
00:24:38,119 --> 00:24:42,560
Speaker 1: it produces to be the best version of that product.

362
00:24:43,240 --> 00:24:45,960
Speaker 1: So if Apple wanted to create I'm just tossing it

363
00:24:46,000 --> 00:24:49,280
Speaker 1: out Apple or Google. If Apple or Google wanted to

364
00:24:49,320 --> 00:24:53,680
Speaker 1: create an algorithm that consistently showed that Clay and Buck

365
00:24:53,800 --> 00:24:56,000
Speaker 1: was the number one radio show in America and that

366
00:24:56,160 --> 00:24:58,840
Speaker 1: more people should listen to it, they could do that.

367
00:24:59,520 --> 00:25:02,880
Speaker 1: If they wanted to create an algorithm that said less

368
00:25:02,960 --> 00:25:05,639
Speaker 1: people should listen to Clay and Buck because they are

369
00:25:05,680 --> 00:25:09,240
Speaker 1: harmful purveyors of misinformation, they could do that as well.

370
00:25:09,920 --> 00:25:13,280
Speaker 1: They are all powerful in these big tech companies. Now,

371
00:25:13,320 --> 00:25:15,680
Speaker 1: many of you are listening to radio stations right now,

372
00:25:15,680 --> 00:25:19,640
Speaker 1: and we love our radio affiliates. But as audio is evolving,

373
00:25:20,320 --> 00:25:23,680
Speaker 1: the way that you find new shows, certainly your kids

374
00:25:23,680 --> 00:25:27,560
Speaker 1: and grandkids, is through the algorithm of what they might

375
00:25:27,720 --> 00:25:32,240
Speaker 1: see when they go on to let's say, for instance,

376
00:25:32,280 --> 00:25:35,800
Speaker 1: the Apple iTunes store, or they go on Google and

377
00:25:35,920 --> 00:25:39,719
Speaker 1: look for shows that they find to be particularly appealing.

378
00:25:40,200 --> 00:25:44,680
Speaker 1: And what's going on here is based on laundered disinformation

379
00:25:45,280 --> 00:25:50,320
Speaker 1: from the Brookings Institute and from Apple and Google. They

380
00:25:50,359 --> 00:25:55,040
Speaker 1: are trying to create systems by which their opinions and

381
00:25:55,240 --> 00:26:01,000
Speaker 1: their stories and their political beliefs are favored over a

382
00:26:01,080 --> 00:26:05,920
Speaker 1: show like this, and that is I believe a serious

383
00:26:05,960 --> 00:26:09,520
Speaker 1: threat that very few people out there are aware of,

384
00:26:09,920 --> 00:26:13,000
Speaker 1: and certainly that it isn't talked about very much. And

385
00:26:13,040 --> 00:26:18,400
Speaker 1: I particularly am exposed to it because when I ran OutKick,

386
00:26:18,560 --> 00:26:22,639
Speaker 1: I would see how the algorithm changes at Facebook or

387
00:26:22,760 --> 00:26:30,000
Speaker 1: Google or Twitter could drastically impact our overall audience, which,

388
00:26:30,040 --> 00:26:33,679
Speaker 1: to the caller's point, directly impacts our bottom line. We

389
00:26:33,800 --> 00:26:38,000
Speaker 1: make far less money when the algorithms disfavor us than

390
00:26:38,040 --> 00:26:42,040
Speaker 1: we would in a natural, full competition. And effectively, what's

391
00:26:42,080 --> 00:26:46,280
Speaker 1: going on here is our show is having to compete

392
00:26:46,680 --> 00:26:50,280
Speaker 1: with like, you know, we're in a marathon and we

393
00:26:50,359 --> 00:26:54,320
Speaker 1: have a hundred pound weight on our backs that we

394
00:26:54,400 --> 00:26:59,280
Speaker 1: are having to carry. Meanwhile, these left wing shows are

395
00:26:59,359 --> 00:27:03,920
Speaker 1: actually being able to use bikes, right Like we're trudging

396
00:27:03,920 --> 00:27:06,560
Speaker 1: along in a race with one hundred pound weight on

397
00:27:06,600 --> 00:27:10,280
Speaker 1: our backs for our ideas, and then the left wingers

398
00:27:10,280 --> 00:27:14,200
Speaker 1: they give them bikes and and door scooters and they're like, hey,

399
00:27:14,359 --> 00:27:18,280
Speaker 1: just have at it, Carl, also in Florida, what's up, Carl,

400
00:27:19,480 --> 00:27:21,399
Speaker 1: it's for having me on. I really love the show.

401
00:27:21,800 --> 00:27:24,399
Speaker 1: Appreciate it. Um. As soon as you started talking about

402
00:27:24,400 --> 00:27:29,119
Speaker 1: a study just from dealing with Fauci. You got to

403
00:27:29,160 --> 00:27:33,560
Speaker 1: follow the money. So I googled who funds the Brookings

404
00:27:33,600 --> 00:27:36,720
Speaker 1: Institute and I don't know who the BHP group is

405
00:27:36,760 --> 00:27:42,399
Speaker 1: in Germany, COVID. That is, we appreciate, we appreciate you.

406
00:27:42,400 --> 00:27:47,439
Speaker 1: You're being very clear, and thank you for thank you

407
00:27:47,480 --> 00:27:50,440
Speaker 1: for the call. And these things are big. By the way,

408
00:27:51,960 --> 00:27:55,840
Speaker 1: in twenty twenty, Brookings Institute had almost one hundred million

409
00:27:55,920 --> 00:27:59,640
Speaker 1: dollars in revenue from donors. It has an endowment, according

410
00:27:59,640 --> 00:28:02,679
Speaker 1: to research a group I'm looking at right now of

411
00:28:02,880 --> 00:28:08,360
Speaker 1: three hundred and fifty five million dollars. And so the

412
00:28:08,520 --> 00:28:13,199
Speaker 1: overall impact of this is and your point is a

413
00:28:13,200 --> 00:28:18,120
Speaker 1: good one. These elites use these think tanks to launder

414
00:28:18,200 --> 00:28:22,880
Speaker 1: their ideas into public and attack people who are their critics.

415
00:28:23,600 --> 00:28:25,600
Speaker 1: So instead, look if Bill Gates wanted to come out

416
00:28:25,600 --> 00:28:27,919
Speaker 1: and he say I think Clay Travis and Buck Sexton

417
00:28:28,000 --> 00:28:30,280
Speaker 1: are horrible human beings. They have the worst show ever.

418
00:28:31,280 --> 00:28:33,000
Speaker 1: I mean, I'd welcome him on the show to make

419
00:28:33,040 --> 00:28:37,840
Speaker 1: that case. He can own his opinion. I don't have

420
00:28:37,880 --> 00:28:40,680
Speaker 1: any issue with him. But what happens when you get

421
00:28:40,720 --> 00:28:44,880
Speaker 1: super wealthy is you don't actually make the attack yourself.

422
00:28:45,320 --> 00:28:48,800
Speaker 1: You find somebody else to do it, and that's what's

423
00:28:48,840 --> 00:28:53,320
Speaker 1: going on here. David in Scottsdale, Arizona. I had an

424
00:28:53,320 --> 00:28:55,840
Speaker 1: awesome time out in Scottsdale over the past several days.

425
00:28:55,920 --> 00:29:00,440
Speaker 1: David got a great town. I appreciate your calling the show. Hey,

426
00:29:01,480 --> 00:29:05,120
Speaker 1: the thing that has never asked these people is the

427
00:29:05,280 --> 00:29:11,520
Speaker 1: what question? What is their definition of misinformation disinformation? Because

428
00:29:11,600 --> 00:29:16,440
Speaker 1: it's most likely going to be subjective terms, and subjective terms,

429
00:29:16,440 --> 00:29:20,200
Speaker 1: there are nothing more like than an editorial board. It's meaningless.

430
00:29:22,280 --> 00:29:24,360
Speaker 1: You're exactly right. That's why I want them to come

431
00:29:24,400 --> 00:29:27,400
Speaker 1: on the show. And not only that, and thank you

432
00:29:27,440 --> 00:29:32,120
Speaker 1: for the call. This study ended in January of twenty

433
00:29:32,160 --> 00:29:35,800
Speaker 1: twenty two. So just think about all the things that

434
00:29:35,840 --> 00:29:41,560
Speaker 1: have occurred that might have been considered misinformation in July

435
00:29:41,680 --> 00:29:45,600
Speaker 1: and August when we said them that are now commonplace

436
00:29:45,760 --> 00:29:48,800
Speaker 1: and understood to be true. For instance, we said mass

437
00:29:48,840 --> 00:29:52,600
Speaker 1: don't work, we said that the COVID shot doesn't stop

438
00:29:52,640 --> 00:29:56,240
Speaker 1: you from getting or spreading COVID. Those things are now,

439
00:29:56,680 --> 00:30:00,400
Speaker 1: to a large extent, commonly understood. That every school needed

440
00:30:00,440 --> 00:30:03,280
Speaker 1: to be open, and we weren't saving people's lives by

441
00:30:03,320 --> 00:30:06,480
Speaker 1: shutting down schools. And then we were harming kids. Well,

442
00:30:06,480 --> 00:30:09,960
Speaker 1: in July and August of twenty twenty one, when Buck

443
00:30:10,000 --> 00:30:13,040
Speaker 1: and I were saying that on this program, I Guarantee

444
00:30:13,080 --> 00:30:15,200
Speaker 1: of the Brookings Institute went in and was like, oh,

445
00:30:15,240 --> 00:30:20,760
Speaker 1: that's misinformation. Now it's commonly understood to have been true,

446
00:30:21,800 --> 00:30:26,120
Speaker 1: but they labeled it as misinformation. I think that's why

447
00:30:26,160 --> 00:30:28,960
Speaker 1: they won't come on, and why they won't share the

448
00:30:29,000 --> 00:30:34,200
Speaker 1: metrics under which they have actually accused us of spreading misinformation,

449
00:30:35,320 --> 00:30:38,720
Speaker 1: because their entire study is BS But it doesn't matter

450
00:30:38,920 --> 00:30:41,760
Speaker 1: because the New York Times wrote about it, and because

451
00:30:41,800 --> 00:30:44,800
Speaker 1: now Google and Apple are on the hook because they

452
00:30:44,920 --> 00:30:47,560
Speaker 1: then got a request for comment from the New York Times,

453
00:30:47,920 --> 00:30:50,280
Speaker 1: and then they panicked and they're like, oh my goodness,

454
00:30:50,280 --> 00:30:52,760
Speaker 1: what do we do now? And the answer is, I

455
00:30:52,920 --> 00:30:56,200
Speaker 1: bet we are going to be if we haven't already

456
00:30:56,240 --> 00:31:01,800
Speaker 1: been massively discredited in the over all podcast rankings and

457
00:31:01,920 --> 00:31:07,760
Speaker 1: algorithms because of this story, which is one hundred percent BS.

458
00:31:09,440 --> 00:31:13,239
Speaker 1: Rig job is real. How do we respond to it?

459
00:31:13,520 --> 00:31:15,240
Speaker 1: I'll tell you next when we come back, and we

460
00:31:15,320 --> 00:31:17,120
Speaker 1: still got a ton of other stories to get to.

461
00:31:17,240 --> 00:31:18,800
Speaker 1: You guys can continue to weigh in as well. Eight

462
00:31:18,920 --> 00:31:23,040
Speaker 1: hundred two two to eight eight two. But I wanted

463
00:31:23,040 --> 00:31:26,240
Speaker 1: to tell you as we continue to roll here, that

464
00:31:26,320 --> 00:31:29,480
Speaker 1: there are a lot of people out there having their

465
00:31:29,520 --> 00:31:32,760
Speaker 1: identity stolen on a regular basis. In fact, every week,

466
00:31:32,920 --> 00:31:35,360
Speaker 1: brand new company guess what they got hacked. All your

467
00:31:35,360 --> 00:31:39,360
Speaker 1: information is out there. You want your information to be protected,

468
00:31:39,360 --> 00:31:41,360
Speaker 1: and at worst, if it's out there, you want to

469
00:31:41,360 --> 00:31:43,560
Speaker 1: know that it's being widely distributed. If you've been a

470
00:31:43,640 --> 00:31:46,200
Speaker 1: victim of identity theft, that's why you need LifeLock. They

471
00:31:46,280 --> 00:31:49,560
Speaker 1: will sign a dedicated restoration specialist to work with you,

472
00:31:49,960 --> 00:31:52,840
Speaker 1: save you hours and hours of angst. No one can

473
00:31:52,880 --> 00:31:56,959
Speaker 1: prevent all identity theft or monitor all transactions at all businesses,

474
00:31:57,320 --> 00:31:59,920
Speaker 1: but it's easy to help protect yourself with a LifeLock.

475
00:32:00,520 --> 00:32:04,280
Speaker 1: Join now and save twenty five percent off your first

476
00:32:04,360 --> 00:32:08,200
Speaker 1: year with the promo code Clay. Call one eight hundred

477
00:32:08,240 --> 00:32:11,800
Speaker 1: LifeLock or head to LifeLock dot com and use my

478
00:32:11,880 --> 00:32:15,400
Speaker 1: name as the promo code that's Clay for twenty five

479
00:32:15,440 --> 00:32:19,640
Speaker 1: percent off LifeLock dot com. Promo code Clay clay in

480
00:32:19,800 --> 00:32:23,640
Speaker 1: Buck twenty four seven and subscribe today. Welcome back in Clay.

481
00:32:23,680 --> 00:32:28,800
Speaker 1: Travis buck Sexton show laying out the dirty Riggs game

482
00:32:28,880 --> 00:32:32,680
Speaker 1: that we play, and how they try to come after

483
00:32:32,760 --> 00:32:38,880
Speaker 1: this show claiming that we are misinformation peddlers while actually

484
00:32:38,960 --> 00:32:41,640
Speaker 1: engaging in misinformation. And when you ask them to just

485
00:32:41,680 --> 00:32:45,360
Speaker 1: come on and explain, Hey, what are you guys actually doing,

486
00:32:46,000 --> 00:32:51,200
Speaker 1: they won't be and aren't willing to do it. That's

487
00:32:51,240 --> 00:32:54,440
Speaker 1: I think what Brad in Florida wants to weigh in on.

488
00:32:54,560 --> 00:32:56,880
Speaker 1: And hey, here's the lesson before I can go to

489
00:32:56,920 --> 00:32:59,680
Speaker 1: Brad and Florida, here's the lesson of what has to happen.

490
00:33:00,480 --> 00:33:04,840
Speaker 1: You have to fight back on this stuff. I don't

491
00:33:04,920 --> 00:33:09,480
Speaker 1: mind being in battles. I don't mind being engaged. And

492
00:33:09,720 --> 00:33:12,160
Speaker 1: as I like to say Donnie Brooks from time to time,

493
00:33:12,720 --> 00:33:15,480
Speaker 1: I don't think you can take this stuff laying down.

494
00:33:16,360 --> 00:33:19,720
Speaker 1: I don't think you can let the Brookings Institute think, oh,

495
00:33:19,800 --> 00:33:23,280
Speaker 1: we're just going to create a BS story. And when

496
00:33:23,320 --> 00:33:25,320
Speaker 1: we call them out on the BS story and ask

497
00:33:25,400 --> 00:33:28,120
Speaker 1: them to explain it live on the radio and tell

498
00:33:28,160 --> 00:33:30,480
Speaker 1: them they can come on any day this week, they

499
00:33:30,480 --> 00:33:32,160
Speaker 1: say they have no time for it. Well, you had

500
00:33:32,160 --> 00:33:34,760
Speaker 1: time to be interviewed by the New York Times. I

501
00:33:34,800 --> 00:33:37,480
Speaker 1: will be stunned if the New York Times writer of

502
00:33:37,520 --> 00:33:41,880
Speaker 1: this piece will come on either and so they've already

503
00:33:42,000 --> 00:33:46,560
Speaker 1: laundered their lie. The Brookings Institute does a study. They

504
00:33:46,600 --> 00:33:49,040
Speaker 1: contact the New York Times say we have this study.

505
00:33:49,080 --> 00:33:50,720
Speaker 1: We want you to write about it. The New York

506
00:33:50,760 --> 00:33:53,320
Speaker 1: Times says they'll do it. They put it on the

507
00:33:53,320 --> 00:33:56,280
Speaker 1: front page of the Business section. They widely distributed across

508
00:33:56,280 --> 00:34:00,960
Speaker 1: the entire Internet. They ask Apple, they ask Google for

509
00:34:01,080 --> 00:34:03,800
Speaker 1: comment on this, providing them a list of all the

510
00:34:03,840 --> 00:34:08,000
Speaker 1: shows that they believe spread the most misinformation. And by

511
00:34:08,000 --> 00:34:10,560
Speaker 1: that point it's all out there. They've gotten the full

512
00:34:10,600 --> 00:34:14,840
Speaker 1: impact of their story. And when somebody says, wait a minute,

513
00:34:14,880 --> 00:34:19,239
Speaker 1: what the they're there, what is this misinformation that you

514
00:34:19,280 --> 00:34:24,960
Speaker 1: are claiming exists? They aren't. There's nothing there. They have

515
00:34:25,160 --> 00:34:29,880
Speaker 1: laundered a completely bs story and they have managed to

516
00:34:29,920 --> 00:34:32,600
Speaker 1: get it widely distributed on the front page of the

517
00:34:32,600 --> 00:34:35,200
Speaker 1: Business section in the New York Times. And if you

518
00:34:35,280 --> 00:34:37,520
Speaker 1: don't know this show, you may not be able to

519
00:34:37,520 --> 00:34:40,600
Speaker 1: find us now on Apple and on Google. This is

520
00:34:40,640 --> 00:34:43,200
Speaker 1: how the game is rigged. This is how they use

521
00:34:43,280 --> 00:34:47,000
Speaker 1: the big tech algorithms to make themselves the favored party

522
00:34:47,880 --> 00:34:52,719
Speaker 1: for left wing ideas. Sorry, we got in Florida right now,

523
00:34:52,800 --> 00:34:55,160
Speaker 1: let me see I forgot his name, Brad and Florida.

524
00:34:55,200 --> 00:34:58,879
Speaker 1: What you got for me? Hey, yeah, it's them lower

525
00:34:58,960 --> 00:35:01,640
Speaker 1: the left, the is the right of doing what they're doing.

526
00:35:02,280 --> 00:35:05,279
Speaker 1: Their media partners help get the word out, and then

527
00:35:05,400 --> 00:35:09,439
Speaker 1: everybody goes away and won't defend their point, and then

528
00:35:09,520 --> 00:35:12,400
Speaker 1: you're left like you are having to bring this to

529
00:35:12,480 --> 00:35:16,600
Speaker 1: everybody's attention. And it's just typical in the irony is

530
00:35:16,640 --> 00:35:21,040
Speaker 1: the purveyors of misinformation are the ones that are providing

531
00:35:21,080 --> 00:35:25,080
Speaker 1: the information's misinformation. At this point, it's amazing for the call.

532
00:35:25,440 --> 00:35:29,560
Speaker 1: It's perfectly said, and there is no equivalent of this

533
00:35:29,920 --> 00:35:34,560
Speaker 1: on the right, by the way, right, I mean, where

534
00:35:34,560 --> 00:35:38,560
Speaker 1: would it even get distributed. Let's pretend that I had

535
00:35:38,600 --> 00:35:42,880
Speaker 1: the money to fund this huge, massive think tank to

536
00:35:43,080 --> 00:35:47,239
Speaker 1: wander this bs idea that I have. Who would publish it?

537
00:35:48,360 --> 00:35:52,319
Speaker 1: Who would go to Google and Apple and say, oh,

538
00:35:52,400 --> 00:35:57,040
Speaker 1: these far left wing podcasts are spreading misinformation. The biggest

539
00:35:57,040 --> 00:36:01,560
Speaker 1: purveyors of misinformation in the world right now in America anyway,

540
00:36:01,600 --> 00:36:04,880
Speaker 1: are the New York Times and the Washington Post. I

541
00:36:04,960 --> 00:36:08,320
Speaker 1: mean they are rifle misinformation. Everything they wrote about Trump

542
00:36:08,320 --> 00:36:13,520
Speaker 1: for years basically wrong. They have an accepted responsibility for it.

543
00:36:13,600 --> 00:36:17,240
Speaker 1: Instead they're continuing to argue that anyone who disagrees with them,

544
00:36:17,280 --> 00:36:20,000
Speaker 1: which would be this show that we're the actual purveyors

545
00:36:20,000 --> 00:36:23,400
Speaker 1: and misinformation. When we come back, I appreciate all of

546
00:36:23,440 --> 00:36:27,000
Speaker 1: you and that's why we're all on one team here

547
00:36:27,400 --> 00:36:29,920
Speaker 1: we come back. Nikki and Hailey has announced she's running

548
00:36:29,920 --> 00:36:32,279
Speaker 1: for president. What is the impact going to be on

549
00:36:32,320 --> 00:36:35,000
Speaker 1: twenty twenty four. Does she have a shot. We'll discuss