1
00:00:01,200 --> 00:00:04,120
Speaker 1: We have two major stories that we're going to talk about,

2
00:00:04,160 --> 00:00:06,600
Speaker 1: and one of them, obviously is with those that are

3
00:00:06,640 --> 00:00:10,280
Speaker 1: testifying about the Biden crime family and a public hearing

4
00:00:10,320 --> 00:00:12,400
Speaker 1: in Washington, d C. And the no show of Hunter Biden.

5
00:00:12,440 --> 00:00:14,200
Speaker 1: I'm going to get to that in a minute. But

6
00:00:14,680 --> 00:00:17,280
Speaker 1: also something else I want to put on your radar screen,

7
00:00:17,280 --> 00:00:20,959
Speaker 1: and that is this Google is now being accused of

8
00:00:21,120 --> 00:00:27,560
Speaker 1: interfering influence, pedaling election interference. In fact, they're being accused

9
00:00:27,600 --> 00:00:33,479
Speaker 1: of interfering with elections forty one times over the last

10
00:00:33,520 --> 00:00:38,760
Speaker 1: sixteen years. Google now on defense as they're being accused

11
00:00:38,880 --> 00:00:42,200
Speaker 1: with data to back it up that they were purposely

12
00:00:42,280 --> 00:00:46,360
Speaker 1: tipping the scales towards candidates that they chose. Guess who

13
00:00:46,400 --> 00:00:53,080
Speaker 1: those candidates were, hardcore liberals. We're talking about Obama, Clinton, Biden,

14
00:00:53,240 --> 00:00:56,760
Speaker 1: and others that they are supporting. They also were interfering

15
00:00:56,800 --> 00:01:01,040
Speaker 1: in elections at the state level, people running for Congress, Senate,

16
00:01:01,120 --> 00:01:05,840
Speaker 1: and the governor's mansion in many different states. Google executives

17
00:01:06,080 --> 00:01:09,160
Speaker 1: having to go on defense. I'm going to have an

18
00:01:09,200 --> 00:01:13,800
Speaker 1: exclusive interview with the people that uncovered this coming up

19
00:01:13,840 --> 00:01:15,560
Speaker 1: in a moment. Before I do that, though, I want

20
00:01:15,600 --> 00:01:18,440
Speaker 1: to tell you about my friends over at AMMO Squared.

21
00:01:18,880 --> 00:01:21,680
Speaker 1: Let me just tell you, AMO Squared is amazing because

22
00:01:21,680 --> 00:01:25,720
Speaker 1: it helps you stay stocked up on ammunition automatically. AMMO

23
00:01:25,840 --> 00:01:28,840
Speaker 1: is delivered on demand or automatically when you need it,

24
00:01:28,920 --> 00:01:32,280
Speaker 1: and stored for free when you don't. It's really a

25
00:01:32,400 --> 00:01:37,320
Speaker 1: unique it's really a unique way to invest in ammunition.

26
00:01:37,640 --> 00:01:41,600
Speaker 1: You can buy low and dollar cost average out over time,

27
00:01:41,800 --> 00:01:45,199
Speaker 1: and then you can cash out when prices rise without

28
00:01:45,200 --> 00:01:50,280
Speaker 1: ever taking delivery of any physical ammunition. It's been founded

29
00:01:50,320 --> 00:01:53,080
Speaker 1: more than eight years ago and the freedom loving state

30
00:01:53,120 --> 00:01:56,240
Speaker 1: of Idaho and AMMO square is truly automated. Sen it

31
00:01:56,320 --> 00:01:59,640
Speaker 1: forget it. Ammo purchasing. You pick your calibers, you set

32
00:01:59,680 --> 00:02:02,680
Speaker 1: your budget, you select a shipping trigger, and that's it.

33
00:02:02,760 --> 00:02:05,600
Speaker 1: And AMMO builds up over time and is delivered automatically

34
00:02:05,640 --> 00:02:07,960
Speaker 1: when you want it or you can sell it when

35
00:02:08,040 --> 00:02:12,000
Speaker 1: prices go through the roof. Over sixty different caliber options

36
00:02:12,000 --> 00:02:14,560
Speaker 1: to choose from, and you can forget about dealing with

37
00:02:14,639 --> 00:02:17,240
Speaker 1: moving heavy case of ammunition in your garage, your home

38
00:02:17,280 --> 00:02:20,600
Speaker 1: because you can literally exchange your AMMO squared inventory from

39
00:02:20,600 --> 00:02:23,560
Speaker 1: one caliber to another in seconds with just a click

40
00:02:23,600 --> 00:02:26,600
Speaker 1: of a mouse. So if you're ready to have AMO

41
00:02:26,720 --> 00:02:30,200
Speaker 1: on demand at great pricing and be able to actually

42
00:02:30,240 --> 00:02:32,520
Speaker 1: invest in AMMO and sell it if the market goes

43
00:02:32,520 --> 00:02:34,880
Speaker 1: through the roof, just like it did during COVID. Go

44
00:02:34,960 --> 00:02:39,040
Speaker 1: to amosquare dot com slash ben. You sign up now,

45
00:02:39,160 --> 00:02:41,880
Speaker 1: You're gonna get some free AMO in your account today.

46
00:02:42,160 --> 00:02:46,720
Speaker 1: It's effortless ammunition management amosquare dot com slash ben. That's

47
00:02:46,760 --> 00:02:50,920
Speaker 1: amosquared dot com slash ben. Sign up to get some

48
00:02:50,960 --> 00:02:54,000
Speaker 1: free AMO in your account right now, all right. Tony

49
00:02:54,040 --> 00:02:59,040
Speaker 1: Bobolinski is in Washington. He is the former business associate

50
00:02:59,080 --> 00:03:02,400
Speaker 1: of Hunter Biden. He met with Joe Biden not once,

51
00:03:02,480 --> 00:03:07,240
Speaker 1: but several times in twenty seventeen. Now. The hearing went

52
00:03:07,280 --> 00:03:12,400
Speaker 1: off the rails when Tony Bobolinski called out Democrats, including

53
00:03:12,440 --> 00:03:17,400
Speaker 1: Representative Raskin and Representive Goldman, for, as he described it,

54
00:03:18,040 --> 00:03:21,080
Speaker 1: lying on behalf of the Biden family. I want you

55
00:03:21,120 --> 00:03:23,960
Speaker 1: to listen to this as it happened on Capitol Hill.

56
00:03:24,120 --> 00:03:27,320
Speaker 2: At the same people preaching this mantra no better, they

57
00:03:27,360 --> 00:03:30,920
Speaker 2: continue to lie directly to the American people without hesitation

58
00:03:31,080 --> 00:03:31,679
Speaker 2: and remorse.

59
00:03:32,280 --> 00:03:32,520
Speaker 1: Rep.

60
00:03:32,600 --> 00:03:36,840
Speaker 2: Dan Goldman and Jamie Raskin, both lawyers, and mister Goldman,

61
00:03:36,880 --> 00:03:40,080
Speaker 2: a former prosecutor with the SDNY from New York, will

62
00:03:40,080 --> 00:03:42,040
Speaker 2: continue to lie today in this hearing and then go

63
00:03:42,120 --> 00:03:45,560
Speaker 2: straight to the media to tell more lies. Hunter Biden's

64
00:03:45,560 --> 00:03:49,400
Speaker 2: defense attorney, Abbey Loll, weaponizes letters to Congress to try.

65
00:03:49,240 --> 00:03:52,760
Speaker 1: To smear my name, mister Sherman the cold.

66
00:03:52,560 --> 00:03:55,200
Speaker 2: Art facts Miss Sherman, in an attempt to save his

67
00:03:55,320 --> 00:03:56,840
Speaker 2: powerfully connected client.

68
00:03:56,880 --> 00:03:57,520
Speaker 3: And his father.

69
00:03:58,160 --> 00:04:00,920
Speaker 2: I challenged mister Lowell to make those claims on national

70
00:04:00,920 --> 00:04:03,840
Speaker 2: television so he can be held accountable for his lies.

71
00:04:04,440 --> 00:04:06,960
Speaker 2: Prior to my successful business career, I was an auficer

72
00:04:07,000 --> 00:04:10,800
Speaker 2: in the United States Navy at Navy's Elite Naval Nuclear

73
00:04:10,840 --> 00:04:14,120
Speaker 2: Power Training Command. I later served as the chief the

74
00:04:14,160 --> 00:04:16,120
Speaker 2: command's chief technology officer.

75
00:04:17,320 --> 00:04:21,440
Speaker 4: For se. I apologize for the disruption from the the am.

76
00:04:21,320 --> 00:04:23,440
Speaker 2: I supposed to say, it's my time, mister RASKI.

77
00:04:23,279 --> 00:04:29,560
Speaker 4: Yeah, but please get Mitch Boblisky please okay, good to order, Uh,

78
00:04:29,839 --> 00:04:33,800
Speaker 4: mister mister Bobilisky, please proceed, Please proceed. Apologize for the

79
00:04:33,839 --> 00:04:35,160
Speaker 4: disruption from the minority.

80
00:04:35,200 --> 00:04:38,479
Speaker 5: Okay, well me, mister Chairman. David saved his time, but

81
00:04:39,000 --> 00:04:40,919
Speaker 5: he called members of this committee liars, and I just

82
00:04:40,960 --> 00:04:43,440
Speaker 5: want to know whether the order and decorum requirements of

83
00:04:43,480 --> 00:04:47,200
Speaker 5: House Rule eleven apply to witnesses appearing before the committee.

84
00:04:47,520 --> 00:04:50,920
Speaker 4: Uh, there's hard lives, there's decorum from the members. We've

85
00:04:50,960 --> 00:04:53,360
Speaker 4: asked for that. There's no language that I'm aware of

86
00:04:53,400 --> 00:04:54,440
Speaker 4: pretending to a witness.

87
00:04:54,520 --> 00:04:55,560
Speaker 3: Thank you, So.

88
00:04:57,080 --> 00:05:00,680
Speaker 4: Don't make sure we didn't waste any of his time

89
00:05:00,720 --> 00:05:03,960
Speaker 4: on the opening statement. Mister Bobbliski, I'm sorry for the disruption.

90
00:05:04,080 --> 00:05:06,080
Speaker 4: Please continue your open statement.

91
00:05:06,120 --> 00:05:09,000
Speaker 2: I think you, mister Askings, We'll make sure you try it.

92
00:05:09,040 --> 00:05:12,600
Speaker 2: Oh my trade great. I just want to restate to

93
00:05:12,680 --> 00:05:14,640
Speaker 2: make sure the American people hear all these facts.

94
00:05:15,360 --> 00:05:17,880
Speaker 1: By the way, I love this guy. He came in

95
00:05:17,920 --> 00:05:23,120
Speaker 1: there and knew that these Democrats who have been lying

96
00:05:23,400 --> 00:05:27,640
Speaker 1: to the American people represent Raskin and represent Goldman, saying, look,

97
00:05:27,720 --> 00:05:29,320
Speaker 1: not only are they lying in the American people, they're

98
00:05:29,360 --> 00:05:32,520
Speaker 1: lying in behalf of the Biden family. And then these

99
00:05:32,560 --> 00:05:35,880
Speaker 1: two members of Congress they get all, you know, I'm

100
00:05:35,920 --> 00:05:38,800
Speaker 1: a member of Congress. You can't talk to me that way.

101
00:05:38,960 --> 00:05:42,440
Speaker 1: Well guess what. Yeah, But there was other things besides

102
00:05:42,520 --> 00:05:46,160
Speaker 1: that that happened. Tony Bobolinski was asked a very simple question.

103
00:05:46,720 --> 00:05:49,480
Speaker 1: Here's the question from Congressman Jordan.

104
00:05:49,760 --> 00:05:53,679
Speaker 2: Listen, mister Bobolinsky, who's the big guy?

105
00:05:53,960 --> 00:05:54,920
Speaker 1: Are you sure about that?

106
00:05:55,000 --> 00:05:59,600
Speaker 2: Because when Jill Biden you sure? I'm a thousand percent sure.

107
00:06:00,000 --> 00:06:04,720
Speaker 1: One thousand percent sure. This is under oath. Tony Bobolinsky

108
00:06:05,000 --> 00:06:08,800
Speaker 1: asked the question, who's the big guy, Joe Biden? Are

109
00:06:08,800 --> 00:06:12,680
Speaker 1: you sure about that? Because and Baby Lensky interrupts, Joe

110
00:06:12,880 --> 00:06:17,640
Speaker 1: Joe Biden, Jim Jordan, are you sure? Are you sure, Bobolinsky,

111
00:06:18,000 --> 00:06:25,240
Speaker 1: I'm a thousand percent sure. Tony Bobolinsky came in there,

112
00:06:26,560 --> 00:06:29,880
Speaker 1: Matt as hell because of the injustice of what we're

113
00:06:29,920 --> 00:06:32,839
Speaker 1: seeing in this country right now with the Biden crime family,

114
00:06:32,880 --> 00:06:36,320
Speaker 1: in the corruption that Tony Bobolinsky witnessed first hand. Tony

115
00:06:36,320 --> 00:06:40,240
Speaker 1: Bobolinsky also came in facts saying Hunter Biden perjured himself

116
00:06:40,360 --> 00:06:44,320
Speaker 1: during his deposition to Congress, saying, quote, he lied to

117
00:06:44,360 --> 00:06:47,279
Speaker 1: the committee. Listen to this from Tony as well, and.

118
00:06:47,320 --> 00:06:50,000
Speaker 2: Gave his transcribe to interview on February twenty eighth, and

119
00:06:50,160 --> 00:06:54,359
Speaker 2: lied throughout his testimony. Here's just one egregious example of

120
00:06:54,440 --> 00:06:59,560
Speaker 2: Hunter's perjury. He lied to the committee on important details

121
00:06:59,640 --> 00:07:03,200
Speaker 2: concerning his money demands. And threats to CFC in text

122
00:07:03,200 --> 00:07:07,719
Speaker 2: messages on July thirty then thirty first, twenty seventeen. He

123
00:07:07,839 --> 00:07:10,440
Speaker 2: leveraged his father's presence next to him in that infamous

124
00:07:10,440 --> 00:07:14,080
Speaker 2: text to strong on CFC to paying Hunter immediately.

125
00:07:15,000 --> 00:07:16,040
Speaker 1: Jim Biden also.

126
00:07:15,960 --> 00:07:19,880
Speaker 2: Led extensively throughout his transcribed interview on February twenty first,

127
00:07:20,120 --> 00:07:24,040
Speaker 2: and perjured himself. An example of that on page one

128
00:07:24,080 --> 00:07:27,360
Speaker 2: hundred of his transcript, Jim is asked specifically, do you

129
00:07:27,520 --> 00:07:31,680
Speaker 2: recall having a meeting with Hunter Biden, Tony Bobolinski, and

130
00:07:31,800 --> 00:07:37,920
Speaker 2: Joe Biden. Jim's response, absolutely not. The committee was so

131
00:07:38,160 --> 00:07:41,120
Speaker 2: shocked by his perjury that they asked him the same

132
00:07:41,240 --> 00:07:45,200
Speaker 2: question multiple times. Each time he denied meeting with me

133
00:07:45,280 --> 00:07:49,080
Speaker 2: and Joe Biden. After the Committee showed him text messages

134
00:07:49,360 --> 00:07:52,960
Speaker 2: confirming that I met with Joe Biden, Hunter Biden, and

135
00:07:53,080 --> 00:07:56,360
Speaker 2: Jim Biden at the Beverly Hilton in May twenty seventeen,

136
00:07:56,560 --> 00:07:59,920
Speaker 2: Jim Biden, with a former US attorney lawyer sitting next

137
00:08:00,080 --> 00:08:02,200
Speaker 2: to him, still denied.

138
00:08:01,880 --> 00:08:02,960
Speaker 1: That meeting took place.

139
00:08:03,720 --> 00:08:07,760
Speaker 2: Hunter Biden, in his own transcribed interview, confirm that that

140
00:08:07,800 --> 00:08:12,680
Speaker 2: meeting took place. Hunter confirmed his uncle perjured himself in

141
00:08:12,720 --> 00:08:16,520
Speaker 2: front of this committee. I'm simply here to tell the

142
00:08:16,560 --> 00:08:17,240
Speaker 2: truth to.

143
00:08:18,440 --> 00:08:21,720
Speaker 1: I'm simply here to tell the truth. He's saying he

144
00:08:21,840 --> 00:08:26,840
Speaker 1: lied to Congress multiple times. AOC, by the way, losing

145
00:08:26,920 --> 00:08:30,600
Speaker 1: her mind today, melting down in a back and forth

146
00:08:31,040 --> 00:08:34,760
Speaker 1: with Tony Bobolenski. Here's part of how that happened. Listen,

147
00:08:35,080 --> 00:08:38,480
Speaker 1: did you witness the president commit a crime? Is it

148
00:08:38,600 --> 00:08:39,760
Speaker 1: your testimony today?

149
00:08:39,880 --> 00:08:40,120
Speaker 3: Yes?

150
00:08:40,760 --> 00:08:44,000
Speaker 1: And what crime do you have you witnessed?

151
00:08:44,000 --> 00:08:45,400
Speaker 2: How much time do I have to go through?

152
00:08:45,400 --> 00:08:48,920
Speaker 1: It is simple? You name the crime? Did you watch

153
00:08:49,000 --> 00:08:50,920
Speaker 1: him steal something? Corruption?

154
00:08:51,080 --> 00:08:51,760
Speaker 2: Statues?

155
00:08:51,960 --> 00:08:55,760
Speaker 1: Rico and con What is what is the crime?

156
00:08:55,960 --> 00:08:56,200
Speaker 3: Sir?

157
00:08:57,400 --> 00:09:00,920
Speaker 2: Specific christ You keep up at me to answer the question.

158
00:09:01,160 --> 00:09:02,079
Speaker 4: I answered the question.

159
00:09:02,679 --> 00:09:04,520
Speaker 2: Ko, you're obviously not familiar.

160
00:09:04,160 --> 00:09:08,240
Speaker 4: With cru Excuse me, sir, excuse me, sir, excuse me, sir.

161
00:09:08,760 --> 00:09:12,439
Speaker 1: Rico is not a crime. It is a category.

162
00:09:12,720 --> 00:09:16,360
Speaker 2: What is the category of crimes that you're then charging?

163
00:09:16,360 --> 00:09:20,680
Speaker 1: You have charging long hundred You have charges, sir.

164
00:09:21,800 --> 00:09:24,840
Speaker 2: Back statute do rico? Yes, Well, it's funny in this

165
00:09:24,920 --> 00:09:26,679
Speaker 2: committee room. Everyone's not here.

166
00:09:26,679 --> 00:09:31,640
Speaker 1: There's over each all right, sir, I recli you guys.

167
00:09:32,920 --> 00:09:33,120
Speaker 3: Time.

168
00:09:34,160 --> 00:09:36,800
Speaker 1: I love AOC. There she's trying to defend the president.

169
00:09:36,960 --> 00:09:39,920
Speaker 1: It didn't go well for her. These are just some

170
00:09:39,960 --> 00:09:43,240
Speaker 1: of the highlights as AOC melting down starts yelling at

171
00:09:43,280 --> 00:09:48,440
Speaker 1: Bobolinskey saying that Biden committed crimes. Excuse me, sir, Excuse me, sir,

172
00:09:49,520 --> 00:09:53,280
Speaker 1: excuse me, sir. They didn't know what to do with

173
00:09:53,400 --> 00:09:56,280
Speaker 1: him because he came in and he's a guy that

174
00:09:56,400 --> 00:10:00,599
Speaker 1: worked with the Bidens. He's not a Republican. He's a

175
00:10:00,679 --> 00:10:03,319
Speaker 1: guy that worked with the Bidens and is seeing what

176
00:10:03,360 --> 00:10:06,640
Speaker 1: the Bidens are getting away with. And that is the

177
00:10:06,720 --> 00:10:11,079
Speaker 1: whole problem. They're witnessing it, they're watching it, they're seeing

178
00:10:11,160 --> 00:10:13,800
Speaker 1: it in real time. And bab A Lensky's like, I've

179
00:10:13,800 --> 00:10:16,520
Speaker 1: had enough of this. So if I'm gonna be here,

180
00:10:16,520 --> 00:10:18,920
Speaker 1: I'm going to tell you the truth, and you guys

181
00:10:18,920 --> 00:10:21,320
Speaker 1: aren't gonna get away with lying the American people while

182
00:10:21,360 --> 00:10:23,600
Speaker 1: I'm here, and I'm going to remind the American people

183
00:10:24,000 --> 00:10:26,320
Speaker 1: how and when and what you're saying that is a lie.

184
00:10:27,000 --> 00:10:29,520
Speaker 1: And when they went after him, it didn't go well.

185
00:10:30,040 --> 00:10:32,400
Speaker 1: Now I'm going to keep covering this because there's going

186
00:10:32,480 --> 00:10:34,920
Speaker 1: to be more that comes out. I can promise you that. Okay,

187
00:10:35,280 --> 00:10:37,520
Speaker 1: but I also want to get to this other big

188
00:10:37,559 --> 00:10:42,800
Speaker 1: story that's vitally important, and it deals with Google interfering

189
00:10:42,960 --> 00:10:46,840
Speaker 1: with elections forty one times over the last sixteen years.

190
00:10:47,160 --> 00:10:52,000
Speaker 1: And the new accusations is that Google literally was swinging

191
00:10:52,040 --> 00:10:56,760
Speaker 1: elections and swinging elections with millions of votes going from

192
00:10:56,840 --> 00:11:01,880
Speaker 1: one side to another because of Google's search algorithms shifting

193
00:11:02,040 --> 00:11:07,959
Speaker 1: public opinion, knowing that they were misleading the public. There

194
00:11:08,040 --> 00:11:14,120
Speaker 1: is shocking new evidence that Google has interfered with our elections,

195
00:11:14,400 --> 00:11:18,360
Speaker 1: in fact, at least forty one times over the last

196
00:11:18,400 --> 00:11:22,160
Speaker 1: sixteen years. That's what the Media Research Center is now

197
00:11:22,240 --> 00:11:27,199
Speaker 1: saying in a new report that totally exposes the bias

198
00:11:27,240 --> 00:11:31,560
Speaker 1: and influence that Google has over our elections, with new

199
00:11:31,600 --> 00:11:35,160
Speaker 1: accusations that they actually could be changing the number of

200
00:11:35,240 --> 00:11:39,520
Speaker 1: votes by millions, tilting the scales for the candidates that

201
00:11:39,559 --> 00:11:43,200
Speaker 1: they choose. Now, we've known for a long time that

202
00:11:43,240 --> 00:11:46,880
Speaker 1: Google has been bias, we had no idea just how

203
00:11:46,960 --> 00:11:50,680
Speaker 1: bias it was until we found out that Google picked

204
00:11:50,800 --> 00:11:54,360
Speaker 1: winners and losers with major elections in the United States

205
00:11:54,360 --> 00:11:57,080
Speaker 1: of America forty one times over the last sixteen years.

206
00:11:57,600 --> 00:12:01,000
Speaker 1: Media Research Center has found forty one different times. They

207
00:12:01,000 --> 00:12:05,640
Speaker 1: say we're Google directly interfered in elections and it had

208
00:12:05,679 --> 00:12:10,680
Speaker 1: a major impact and surged dramatically of the side they

209
00:12:10,760 --> 00:12:14,800
Speaker 1: wanted to win. In every case, Google harmed the candidates

210
00:12:14,840 --> 00:12:18,840
Speaker 1: that they wanted to harm, regardless of party. Those who

211
00:12:18,920 --> 00:12:22,800
Speaker 1: threatened it's left leaning and left wing candidates of choice.

212
00:12:22,880 --> 00:12:26,120
Speaker 1: That is a new accusation by the Media Research Center

213
00:12:26,200 --> 00:12:30,720
Speaker 1: Free Speech America Vice President Dan Snyder is now going

214
00:12:30,760 --> 00:12:34,240
Speaker 1: to join me to talk about this exact detail. Dan,

215
00:12:34,400 --> 00:12:40,240
Speaker 1: I appreciate you coming on. And Google is something that

216
00:12:40,280 --> 00:12:43,200
Speaker 1: we know is powerful for the left. We know that

217
00:12:43,320 --> 00:12:47,160
Speaker 1: they have an ally, we know that they have suppressed

218
00:12:47,679 --> 00:12:51,680
Speaker 1: just basic search engine issues, but this is the first

219
00:12:51,679 --> 00:12:54,640
Speaker 1: time that we're actually seeing what Google is doing directly

220
00:12:54,679 --> 00:12:58,400
Speaker 1: to interfere with our elections. Tell us a little bit

221
00:12:58,400 --> 00:13:00,440
Speaker 1: more about the background in this and how you guys

222
00:13:00,440 --> 00:13:01,679
Speaker 1: were able to find all this out.

223
00:13:02,320 --> 00:13:05,959
Speaker 3: Well. Look, Google has been actively involved in elections for

224
00:13:06,000 --> 00:13:11,160
Speaker 3: a long time, and on a legal basis, their president, CEO,

225
00:13:11,400 --> 00:13:15,800
Speaker 3: Chamber of the Board endorsed Democrats for office all the time.

226
00:13:16,160 --> 00:13:21,760
Speaker 3: Its employees have largely given exclusively to the left ninety

227
00:13:21,760 --> 00:13:26,120
Speaker 3: plus percent of the time. Under federal election campaign disclosure requirements,

228
00:13:26,120 --> 00:13:29,440
Speaker 3: you can see Google statements have been all left wing.

229
00:13:29,720 --> 00:13:32,200
Speaker 3: But what we have not been able to see is

230
00:13:32,280 --> 00:13:36,200
Speaker 3: what they're doing with their one point seven trillion dollar

231
00:13:36,360 --> 00:13:40,560
Speaker 3: corporation behind the scenes. You can't look into their little

232
00:13:40,600 --> 00:13:43,920
Speaker 3: black box of algorithms and see exactly how they're working.

233
00:13:44,360 --> 00:13:46,760
Speaker 3: But we've been able to piece together lots of different

234
00:13:46,760 --> 00:13:50,480
Speaker 3: things and see the consequences of their work, and time

235
00:13:50,640 --> 00:13:54,880
Speaker 3: and time again, the evidence shows that if you are

236
00:13:55,240 --> 00:14:00,000
Speaker 3: an opponent of their candidate choice, Google's going to bury you.

237
00:14:00,360 --> 00:14:03,600
Speaker 1: So let's talk about how they pick winners and losers here,

238
00:14:03,640 --> 00:14:05,439
Speaker 1: and when you say they're going to bury us, give

239
00:14:05,520 --> 00:14:08,320
Speaker 1: us examples of what that actually looks like. You're running

240
00:14:08,320 --> 00:14:13,280
Speaker 1: for office, Google doesn't like you, You're not their candidate of choice.

241
00:14:13,480 --> 00:14:15,960
Speaker 1: How much impact can they actually have over your campaign?

242
00:14:16,840 --> 00:14:21,680
Speaker 3: Well, look, in the twenty twenty two Senate races, there

243
00:14:21,680 --> 00:14:25,520
Speaker 3: were about a dozen Senate races that were being hotly contested,

244
00:14:26,040 --> 00:14:28,720
Speaker 3: and we did a study, and we did this repeatedly.

245
00:14:29,280 --> 00:14:32,440
Speaker 3: We would search for, you know, the campaign websites. We

246
00:14:32,480 --> 00:14:36,960
Speaker 3: would simply search for, you know, like Adam Laxalt, you know,

247
00:14:37,120 --> 00:14:41,880
Speaker 3: Senate campaign in Nevada, and Google would not give you

248
00:14:41,960 --> 00:14:46,480
Speaker 3: his campaign website. But Google would certainly, you know, turn

249
00:14:46,560 --> 00:14:49,080
Speaker 3: over the website of his opponent when you did the

250
00:14:49,120 --> 00:14:52,920
Speaker 3: same search for her and over and over again. Ten

251
00:14:53,080 --> 00:14:58,000
Speaker 3: out of the twelve Republican Senate campaign websites would be

252
00:14:58,120 --> 00:15:01,720
Speaker 3: buried by Google, either not showing up at all or

253
00:15:01,800 --> 00:15:04,600
Speaker 3: showing up way low in search results. But a majority

254
00:15:04,640 --> 00:15:07,640
Speaker 3: of the time, literally Google would not produce the campaign

255
00:15:07,720 --> 00:15:11,120
Speaker 3: website for the Republican seeking the Senate seat in that

256
00:15:11,440 --> 00:15:16,360
Speaker 3: in that race. More recently, before each of the four

257
00:15:16,600 --> 00:15:22,360
Speaker 3: Republican presidential campaign debates, we did two searches. We searched

258
00:15:22,400 --> 00:15:27,960
Speaker 3: for Democrat presidential campaign websites, and we then searched for

259
00:15:28,040 --> 00:15:32,200
Speaker 3: Republican presidential campaign websites. And look, we expected to see

260
00:15:32,280 --> 00:15:33,880
Speaker 3: Joe Biden at the top of the list when we

261
00:15:33,920 --> 00:15:37,560
Speaker 3: search for Democrat presidential campaign websites, and he was every

262
00:15:37,760 --> 00:15:40,720
Speaker 3: single time. Joe Biden was at the top. But guess what,

263
00:15:41,120 --> 00:15:45,240
Speaker 3: our FK Junior didn't show up at all. Google buried

264
00:15:45,360 --> 00:15:48,840
Speaker 3: RFK Junior's campaign website, the single greatest threat that Joe

265
00:15:48,880 --> 00:15:51,720
Speaker 3: Biden winning the nomination. They buried a site.

266
00:15:52,240 --> 00:15:55,280
Speaker 1: But I want to be clear, though, it's not what

267
00:15:55,320 --> 00:15:58,880
Speaker 1: you're saying is It's not that Google is just out

268
00:15:58,920 --> 00:16:02,320
Speaker 1: to get conservative. There's a Republican candidates that they don't like.

269
00:16:03,160 --> 00:16:06,240
Speaker 1: It is if you're not the candidate they choose, even

270
00:16:06,280 --> 00:16:10,800
Speaker 1: in the Democratic primary, if they decide, hey, we like

271
00:16:11,000 --> 00:16:14,040
Speaker 1: this person more because they're going to be better for us.

272
00:16:14,600 --> 00:16:17,119
Speaker 1: We're going to help you win even in the Democratic

273
00:16:17,200 --> 00:16:19,000
Speaker 1: races over other Democrats.

274
00:16:19,640 --> 00:16:23,960
Speaker 3: That's right, Tulca Gabbert RFK Junior. Most recently, but even

275
00:16:24,080 --> 00:16:27,240
Speaker 3: going back to two thousand and eight, when the young

276
00:16:27,440 --> 00:16:32,240
Speaker 3: Senator Barack Obama was challenging Hillary Clinton, Google was bearing

277
00:16:34,000 --> 00:16:40,480
Speaker 3: pro Clinton blogs and highlighting pro Obama blogs. Wow, but here,

278
00:16:40,560 --> 00:16:42,640
Speaker 3: let me get to this. But here's the most shocking

279
00:16:42,720 --> 00:16:47,640
Speaker 3: example here. When we search for Republican presidential campaign websites, well,

280
00:16:47,720 --> 00:16:49,440
Speaker 3: just like we saw Joe Biden at the top of

281
00:16:49,440 --> 00:16:52,960
Speaker 3: the heap, we would have expected to see Donald Trump

282
00:16:53,000 --> 00:16:55,160
Speaker 3: at the top of the heap. But not only was

283
00:16:55,200 --> 00:16:58,440
Speaker 3: Donald Trump's campaign What'son not produced at all by Google,

284
00:16:58,880 --> 00:17:02,360
Speaker 3: it only produced two campaign websites. And this is every

285
00:17:02,360 --> 00:17:05,480
Speaker 3: single time we did this study. The first one was

286
00:17:05,600 --> 00:17:11,919
Speaker 3: Maryann Williamson, a Democrat, again searching for Republican presidential campaign websites.

287
00:17:12,240 --> 00:17:14,800
Speaker 3: One of The only two campaign websites that Google would

288
00:17:14,800 --> 00:17:18,960
Speaker 3: give us Marian Williamson's campaign website and the other was

289
00:17:19,000 --> 00:17:24,240
Speaker 3: Will Hurd, who was scoring zero in the nationwide polling.

290
00:17:24,760 --> 00:17:28,760
Speaker 3: But Google would not give us Joe Biden, the vay Ramaswami,

291
00:17:28,920 --> 00:17:33,640
Speaker 3: Ron DeSantis, Nikki Haley, anybody else, any Republican. Just one

292
00:17:33,640 --> 00:17:37,320
Speaker 3: Democrat and one Republicans pulling at zero percent.

293
00:17:37,760 --> 00:17:39,520
Speaker 1: Dan, I've got so many more questions I want to

294
00:17:39,560 --> 00:17:41,480
Speaker 1: ask you, but real quick, I want to tell everybody

295
00:17:41,520 --> 00:17:44,560
Speaker 1: about what's happening in the economy. You've probably witnessed it.

296
00:17:44,600 --> 00:17:47,840
Speaker 1: You've seen the FEDS dealing with inflation and not knowing

297
00:17:47,840 --> 00:17:50,119
Speaker 1: what to do. And inflation is not good when it

298
00:17:50,160 --> 00:17:53,600
Speaker 1: comes to your retirement savings. The money you've been saving

299
00:17:53,640 --> 00:17:55,760
Speaker 1: for retirement, is it going to be enough? Is it

300
00:17:55,800 --> 00:17:59,639
Speaker 1: going far enough? Well? With inflation still well above the

301
00:17:59,640 --> 00:18:02,520
Speaker 1: FEDS target rate and consumer prices much higher than they

302
00:18:02,520 --> 00:18:05,199
Speaker 1: were three years ago, you need a financial plan that

303
00:18:05,320 --> 00:18:08,720
Speaker 1: ensures that the money you save today will be enough

304
00:18:08,760 --> 00:18:12,600
Speaker 1: for you tomorrow. That is where gold and silver come in.

305
00:18:13,000 --> 00:18:16,800
Speaker 1: Gold and silver have historically been good hedges against inflation

306
00:18:17,040 --> 00:18:19,840
Speaker 1: and a great way to protect your hard earned retirement funds.

307
00:18:20,240 --> 00:18:22,800
Speaker 1: When it comes to buying gold and silver, you need

308
00:18:22,840 --> 00:18:26,080
Speaker 1: a company and a partner that you can trust. That

309
00:18:26,280 --> 00:18:28,520
Speaker 1: is why I use and I want you to reach

310
00:18:28,560 --> 00:18:32,080
Speaker 1: out to Freedom Goold USA. Freedom Goold USA is all

311
00:18:32,080 --> 00:18:35,520
Speaker 1: about educating their clients on how to invest in precious metals.

312
00:18:35,880 --> 00:18:40,760
Speaker 1: They preach protection and diversifying your assets, and on average,

313
00:18:40,920 --> 00:18:44,720
Speaker 1: they charge twenty five to thirty percent less than most

314
00:18:44,760 --> 00:18:48,000
Speaker 1: major gold and silver firms that you may hear. So

315
00:18:48,080 --> 00:18:50,399
Speaker 1: if you're ready to take control of your financial future,

316
00:18:50,640 --> 00:18:54,560
Speaker 1: I want you to visit Goldusa dot com slash ben.

317
00:18:55,119 --> 00:18:59,840
Speaker 1: That's Goldusa dot com slash Ben. You can also call

318
00:18:59,880 --> 00:19:03,560
Speaker 1: the one eight hundred sixty five five eight eight four three.

319
00:19:03,720 --> 00:19:06,159
Speaker 1: Don't get ripped off, don't be charged twenty five to

320
00:19:06,200 --> 00:19:10,640
Speaker 1: thirty percent more by calling someone else. Visit FREEDOMGOLDUSA dot

321
00:19:10,680 --> 00:19:13,400
Speaker 1: com slash Ben or one eight hundred sixty five five

322
00:19:13,920 --> 00:19:17,240
Speaker 1: eight eight four three tell them. Ben Ferguson sent you. You're

323
00:19:17,040 --> 00:19:19,439
Speaker 1: gonna love working with them. You and I both know

324
00:19:19,560 --> 00:19:23,280
Speaker 1: that in politics, and my guest from me is Dan Schneider,

325
00:19:23,320 --> 00:19:26,520
Speaker 1: a media research center. They do an amazing work to

326
00:19:26,640 --> 00:19:29,080
Speaker 1: expose what we're talking about right now. You should check

327
00:19:29,080 --> 00:19:32,440
Speaker 1: them out. Help them, support them because they're doing amazing

328
00:19:32,520 --> 00:19:34,880
Speaker 1: work and without you, guys, they cannot get it done.

329
00:19:34,920 --> 00:19:37,240
Speaker 1: So I want to make that very clear. But you

330
00:19:37,359 --> 00:19:42,680
Speaker 1: talk about these moments in politics where a candidate would surge, right,

331
00:19:43,320 --> 00:19:46,440
Speaker 1: Tolsei Gabbard's a great example in the Democratic primary when

332
00:19:46,480 --> 00:19:49,600
Speaker 1: she was running for president. She had a moment. And

333
00:19:49,920 --> 00:19:53,200
Speaker 1: what happens after a candidate has a moment is people

334
00:19:53,240 --> 00:19:55,600
Speaker 1: immediately go to Google to find out more about the

335
00:19:55,640 --> 00:19:59,840
Speaker 1: person or to even you know, get involved in their campaign.

336
00:20:00,440 --> 00:20:02,520
Speaker 1: Talk a little bit about what they did to influence

337
00:20:02,600 --> 00:20:04,840
Speaker 1: and suppress her. For example, when she was running as

338
00:20:04,880 --> 00:20:05,920
Speaker 1: a Democrat.

339
00:20:06,119 --> 00:20:09,840
Speaker 3: Right, so, she did an amazing job in a debate,

340
00:20:10,480 --> 00:20:13,440
Speaker 3: and the whole world suddenly was looking at Tulsi Gabbard

341
00:20:13,640 --> 00:20:17,879
Speaker 3: as an alternative to Joe Biden. And right as she

342
00:20:18,000 --> 00:20:21,200
Speaker 3: was searching, right as everybody was interested in her, Google

343
00:20:21,400 --> 00:20:24,960
Speaker 3: buried her. They eliminated her ads right when you would

344
00:20:25,000 --> 00:20:27,400
Speaker 3: need to be able to you know, when her campaign

345
00:20:27,440 --> 00:20:29,840
Speaker 3: needed to tell everybody who she is and also to

346
00:20:29,920 --> 00:20:33,880
Speaker 3: raise money, Google eliminated her from search results.

347
00:20:34,440 --> 00:20:36,960
Speaker 1: What was the reasoning behind that that Google gave for

348
00:20:37,520 --> 00:20:40,080
Speaker 1: shutting down her AD account so she could not advertise

349
00:20:40,119 --> 00:20:42,280
Speaker 1: when she had that moment to people that maybe were

350
00:20:42,280 --> 00:20:43,080
Speaker 1: searching for her.

351
00:20:43,760 --> 00:20:47,000
Speaker 3: You know, Google seems always to have these glitches, and

352
00:20:47,080 --> 00:20:49,520
Speaker 3: Google say, well, there was just a glitch. There was

353
00:20:49,560 --> 00:20:53,480
Speaker 3: a glitch when Hillary Clinton's in two thousand and eight,

354
00:20:53,520 --> 00:20:58,040
Speaker 3: when Hillary Clinton's you know blogs pro Clinton blogs were

355
00:20:58,040 --> 00:21:00,480
Speaker 3: suddenly buried, and there was just I'm kind of a

356
00:21:00,480 --> 00:21:03,880
Speaker 3: glitch with Tulsi Gabbard, And there's just there's always a glitch.

357
00:21:04,520 --> 00:21:06,560
Speaker 3: And sometimes they don't have any responses at all. By

358
00:21:06,560 --> 00:21:09,800
Speaker 3: the way, in this most recent study of ours, Google

359
00:21:09,840 --> 00:21:13,440
Speaker 3: has said that every one of our forty one examples

360
00:21:13,480 --> 00:21:17,640
Speaker 3: has been refuted. That is just a lie. Yeah. For example,

361
00:21:17,680 --> 00:21:21,360
Speaker 3: the the I just told you about the presidential campaign

362
00:21:21,760 --> 00:21:24,760
Speaker 3: searches that we did where Donald Trump is completely buried,

363
00:21:24,880 --> 00:21:28,120
Speaker 3: over and over and over. Google has never refuted that.

364
00:21:28,240 --> 00:21:32,760
Speaker 3: Nobody has ever suggested what we reported was wrong. So

365
00:21:32,840 --> 00:21:34,320
Speaker 3: Google just makes up stuff.

366
00:21:34,720 --> 00:21:38,960
Speaker 1: But their exact response on it all, yeah, Google pushback saying, quote,

367
00:21:39,359 --> 00:21:44,440
Speaker 1: we have a clear quote business incentive to keep both

368
00:21:44,480 --> 00:21:48,520
Speaker 1: sides happy, and the safeguards ensure non bias and accurate

369
00:21:48,600 --> 00:21:52,720
Speaker 1: search results. That's a great line written by a PR

370
00:21:53,080 --> 00:21:55,520
Speaker 1: person at Google, but it doesn't back up with the

371
00:21:55,560 --> 00:21:56,760
Speaker 1: facts is what you're saying.

372
00:21:57,320 --> 00:22:00,359
Speaker 3: Those are words. Those are mirror words as I can

373
00:22:00,400 --> 00:22:02,280
Speaker 3: say the sky is green. It doesn't make it so

374
00:22:02,720 --> 00:22:05,240
Speaker 3: Google can say anything at once. It didn't point to

375
00:22:05,280 --> 00:22:07,840
Speaker 3: any evidence, you know, to support the words that it

376
00:22:08,400 --> 00:22:09,520
Speaker 3: spewed out of its mouth.

377
00:22:10,520 --> 00:22:14,560
Speaker 1: Establishment Republicans have also not fared well when they are

378
00:22:14,640 --> 00:22:19,560
Speaker 1: the nominee. An example of this is it was obvious

379
00:22:19,640 --> 00:22:22,359
Speaker 1: that Google was favoring Barack Obama over John McCain in

380
00:22:22,359 --> 00:22:25,200
Speaker 1: two thousand and eight, more the establishment candidate. It even

381
00:22:25,760 --> 00:22:29,840
Speaker 1: screwed with Mitt Romney in twenty twelve, refusing to correct

382
00:22:29,880 --> 00:22:34,600
Speaker 1: a Google bomb that smeared the then leading GOP primary

383
00:22:34,640 --> 00:22:39,000
Speaker 1: candidate for president, for example, Rick Santorum, with using its

384
00:22:39,000 --> 00:22:43,360
Speaker 1: algorithm to exclude auto fill results that were potentially damaging

385
00:22:43,359 --> 00:22:46,440
Speaker 1: to Hillary Clinton, explaining that as well, these autofil results

386
00:22:46,440 --> 00:22:47,400
Speaker 1: and the other things.

387
00:22:47,720 --> 00:22:51,320
Speaker 3: Yeah, so let me just remind everybody Rick Santorum was

388
00:22:51,440 --> 00:22:56,679
Speaker 3: actually leading among all Republicans in that primary, and just

389
00:22:56,720 --> 00:22:59,600
Speaker 3: as he was surging, there was a thing is a

390
00:22:59,640 --> 00:23:03,120
Speaker 3: popular thing back then, these Google bombs where people would

391
00:23:03,400 --> 00:23:08,199
Speaker 3: kind of create false websites and redefine a person or

392
00:23:08,200 --> 00:23:11,600
Speaker 3: an issue, and these Google bombs were created that said

393
00:23:11,600 --> 00:23:15,679
Speaker 3: the most heinous, abhorrent things about rix Cantorum. Now, Google

394
00:23:15,720 --> 00:23:19,919
Speaker 3: had a policy anytime that some organization or some person

395
00:23:19,960 --> 00:23:23,600
Speaker 3: got bombed, Google would take down those sites, you know,

396
00:23:23,680 --> 00:23:26,560
Speaker 3: because it was it was misinformation, it was false, it

397
00:23:26,600 --> 00:23:30,000
Speaker 3: was the were lies. When it came to Rix Sntorum,

398
00:23:30,480 --> 00:23:33,600
Speaker 3: Google refused to take down those Google bombs. So if

399
00:23:33,600 --> 00:23:35,880
Speaker 3: you tried to google rix Antorum and find anything out

400
00:23:35,880 --> 00:23:41,040
Speaker 3: about him, you were directed to these false, inflammatory, libelous

401
00:23:41,080 --> 00:23:45,240
Speaker 3: campaign sites that were attacking him. Saying again, you can't

402
00:23:45,240 --> 00:23:49,440
Speaker 3: even say these things, you know, without being too embarrassed,

403
00:23:49,440 --> 00:23:52,960
Speaker 3: because they're just the most vile, disgusting things that people

404
00:23:52,960 --> 00:23:55,720
Speaker 3: were being told about. Yeah. Falseho, it's about rix Antorum.

405
00:23:55,760 --> 00:23:58,560
Speaker 3: I mean, just outright, you know, fabricated stuff.

406
00:24:00,080 --> 00:24:02,440
Speaker 1: Let me ask you another question about Google, and this

407
00:24:02,480 --> 00:24:05,680
Speaker 1: goes back to Mitt Romney John McCain that I mentioned.

408
00:24:06,640 --> 00:24:10,240
Speaker 1: What we're seeing with Google is they're not saying they

409
00:24:10,240 --> 00:24:14,160
Speaker 1: hate Donald Trump and MAGA. They're saying we hate anyone

410
00:24:14,200 --> 00:24:17,919
Speaker 1: that's not our guy, and every year that guy can change.

411
00:24:18,320 --> 00:24:21,720
Speaker 1: So we'll treat Donald Trump the same way we treated

412
00:24:21,760 --> 00:24:25,440
Speaker 1: Mitt Romney or Rick Santorum or John McCain if the

413
00:24:25,560 --> 00:24:28,040
Speaker 1: person we want to win is on the other side.

414
00:24:28,280 --> 00:24:30,199
Speaker 1: So if you think they're only being mean to like

415
00:24:30,280 --> 00:24:35,080
Speaker 1: MAGA conservatives, you're wrong. They want these Democrat hardcore lefties

416
00:24:35,119 --> 00:24:37,240
Speaker 1: to win every election no matter what.

417
00:24:37,800 --> 00:24:40,960
Speaker 3: Yeah, that's right. And as we discussed earlier, that will

418
00:24:41,000 --> 00:24:46,080
Speaker 3: include picking you know, a more liberal Democrat and suppressing

419
00:24:46,680 --> 00:24:51,399
Speaker 3: a slightly more you know, or less liberal Democrat. And

420
00:24:52,119 --> 00:24:55,520
Speaker 3: so they've got their candidate of choice and you better

421
00:24:55,560 --> 00:24:58,200
Speaker 3: not be the opponent otherwise you're gonna they're gonna be

422
00:24:58,240 --> 00:24:58,880
Speaker 3: hell to pay.

423
00:24:59,560 --> 00:25:03,359
Speaker 1: This isn't just on the national level of presidential campaigns,

424
00:25:03,400 --> 00:25:06,959
Speaker 1: and that's where Google stops doing this. You guys also

425
00:25:07,680 --> 00:25:10,560
Speaker 1: looked at some of the most competitive, the twelve most

426
00:25:10,600 --> 00:25:13,760
Speaker 1: competitive Senate races in twenty twenty two. What did you

427
00:25:13,840 --> 00:25:16,159
Speaker 1: find out when it came to Senate races?

428
00:25:16,560 --> 00:25:23,639
Speaker 3: Right, so Google buried you know, the Senate candidates in

429
00:25:23,680 --> 00:25:28,840
Speaker 3: those twelve competitive races every time except for two for

430
00:25:28,920 --> 00:25:32,719
Speaker 3: whatever reason. You know, in the Washington Prime. In the

431
00:25:32,800 --> 00:25:37,439
Speaker 3: Washington race the state of Washington, Patty Murray actually fared

432
00:25:37,480 --> 00:25:40,840
Speaker 3: worse than the Republicans. But in every other case, you know,

433
00:25:40,920 --> 00:25:44,160
Speaker 3: the Republican was buried. Now here's where it gets really

434
00:25:44,600 --> 00:25:48,359
Speaker 3: really interesting. It shows how clever Google really is. People

435
00:25:48,400 --> 00:25:52,040
Speaker 3: will recall that there was a runoff in Georgia where

436
00:25:52,119 --> 00:25:56,560
Speaker 3: herschel Walker and his Democrat opponent neither got fifty percent,

437
00:25:56,640 --> 00:25:59,000
Speaker 3: when under Georgia law, they had to go to a runoff.

438
00:25:59,520 --> 00:26:02,520
Speaker 3: So we went to Georgia and again these are using

439
00:26:02,640 --> 00:26:06,600
Speaker 3: clean computers, no cookies, all that, and we went to

440
00:26:06,680 --> 00:26:10,240
Speaker 3: the precinct level, you know, again looking for herschel Walker's

441
00:26:10,280 --> 00:26:13,640
Speaker 3: campaign website and looking for his opponent's campaign website. And

442
00:26:13,760 --> 00:26:16,600
Speaker 3: at the precinct level, we discovered that those precincts that

443
00:26:16,640 --> 00:26:20,560
Speaker 3: were heavily Democrat there was no bias, and those precincts

444
00:26:20,560 --> 00:26:24,640
Speaker 3: that were heavily Republican no bias. But in the precincts

445
00:26:24,640 --> 00:26:28,200
Speaker 3: that were going to toss up precincts where the Democrat

446
00:26:28,320 --> 00:26:31,080
Speaker 3: needed votes to be able to win beat herschel Walker,

447
00:26:31,520 --> 00:26:34,000
Speaker 3: that's where we saw the bias again. That's where herschel

448
00:26:34,040 --> 00:26:37,560
Speaker 3: Walker's campaign website was buried, but the Democrats was elevated

449
00:26:37,600 --> 00:26:39,000
Speaker 3: to the top of search results.

450
00:26:39,520 --> 00:26:42,640
Speaker 1: It's incredible. Let's dive into how much of an influence

451
00:26:42,720 --> 00:26:44,800
Speaker 1: this actually could have had, because it's one thing to

452
00:26:44,800 --> 00:26:48,200
Speaker 1: give the accusation and to show that proof, but then

453
00:26:48,280 --> 00:26:50,920
Speaker 1: to talk about how much of an impact that could

454
00:26:50,920 --> 00:26:54,439
Speaker 1: this have had on our elections. You guys worked with

455
00:26:54,480 --> 00:26:58,440
Speaker 1: doctor Robert Epstein who performed additional research and found that

456
00:26:58,560 --> 00:27:04,439
Speaker 1: Google search algorith rhythms likely shifted millions of votes just

457
00:27:04,520 --> 00:27:08,000
Speaker 1: to Hillary Clinton in twenty sixteen alone, for example. And

458
00:27:08,040 --> 00:27:11,000
Speaker 1: then you found even after that, even more votes. We're

459
00:27:11,000 --> 00:27:14,800
Speaker 1: talking about millions that would have favored Democrats in twenty twenty.

460
00:27:14,920 --> 00:27:15,720
Speaker 1: Dive into that for.

461
00:27:15,760 --> 00:27:21,320
Speaker 3: Us, right. So, doctor Epstein is a PhD statistician. He

462
00:27:21,359 --> 00:27:23,919
Speaker 3: did all of his work at Harvard. He is a

463
00:27:24,000 --> 00:27:28,360
Speaker 3: liberal himself. He is a self proclaimed Democrat. He admits

464
00:27:28,400 --> 00:27:31,840
Speaker 3: he voted for Hillary Clinton. He is not a partisan.

465
00:27:31,920 --> 00:27:34,440
Speaker 3: He is not doing this work to try to help Republicans.

466
00:27:34,640 --> 00:27:39,760
Speaker 3: He's just very concerned about democracy. So his research and

467
00:27:40,040 --> 00:27:45,440
Speaker 3: is very sophisticated. It's seen how Google interacts with users,

468
00:27:45,480 --> 00:27:48,639
Speaker 3: what kind of results are produced, and how that alters

469
00:27:48,680 --> 00:27:51,720
Speaker 3: people's behavior. So he is estimated in the twenty twenty

470
00:27:51,760 --> 00:27:55,600
Speaker 3: election alone, and they were from six to eight million

471
00:27:55,720 --> 00:28:01,400
Speaker 3: votes were suayed against Donald Trump in favor of Joe Biden. Nationwide,

472
00:28:01,760 --> 00:28:05,280
Speaker 3: six to eight million had it not been for Google,

473
00:28:05,880 --> 00:28:08,719
Speaker 3: it would have been a landslide victory for Donald Trump.

474
00:28:09,640 --> 00:28:14,080
Speaker 3: And let me just reiterate, Doctor Epstein is a liberal,

475
00:28:14,320 --> 00:28:21,000
Speaker 3: and he's testified before Congress. He has no interest in

476
00:28:21,040 --> 00:28:25,480
Speaker 3: seeing Republicans win races. He only cares about the rights

477
00:28:25,480 --> 00:28:28,040
Speaker 3: of the voter and to have that voter's votes be

478
00:28:28,119 --> 00:28:28,879
Speaker 3: counted fairly.

479
00:28:29,359 --> 00:28:33,920
Speaker 1: Talk about the amount of influence so people understand. I mean,

480
00:28:34,000 --> 00:28:36,840
Speaker 1: I look, I use Google every day. You guys are

481
00:28:36,880 --> 00:28:39,560
Speaker 1: now saying it's time to use another search engine because

482
00:28:39,600 --> 00:28:43,800
Speaker 1: of what they're doing. I totally support that idea, but

483
00:28:44,280 --> 00:28:47,720
Speaker 1: the reality is overwhelming. The majority of Americans go to

484
00:28:47,760 --> 00:28:51,520
Speaker 1: Google for pretty much anything they need to search. How

485
00:28:51,880 --> 00:28:54,640
Speaker 1: much penetration and market share does Google have over the

486
00:28:54,640 --> 00:28:55,320
Speaker 1: American voter?

487
00:28:56,040 --> 00:28:58,960
Speaker 3: You know, there are different numbers. It's anywhere from ninety

488
00:28:59,000 --> 00:29:02,040
Speaker 3: three to ninety eight. Ninety seven percent of all search

489
00:29:02,200 --> 00:29:06,960
Speaker 3: is done, you know, using the Google search engine. Yeah,

490
00:29:06,960 --> 00:29:10,040
Speaker 3: and it's got so many other products too, like Google News.

491
00:29:10,560 --> 00:29:15,520
Speaker 3: And this is another shocking thing. There's one legitimate outfit

492
00:29:15,600 --> 00:29:18,000
Speaker 3: out there that sort of rates media outlets of whether

493
00:29:18,080 --> 00:29:20,400
Speaker 3: they're left of center or right of center. It's called

494
00:29:20,560 --> 00:29:24,120
Speaker 3: All Sides. It's a reliable organization. We don't always agree

495
00:29:24,160 --> 00:29:28,840
Speaker 3: with them, but they're pretty good. All using all sides data,

496
00:29:28,920 --> 00:29:32,320
Speaker 3: you can see that Google News. If you're searching anything

497
00:29:32,320 --> 00:29:37,000
Speaker 3: about Trump, Biden or elections, Google News would link to

498
00:29:37,560 --> 00:29:44,920
Speaker 3: zero zero right of center media outlets, almost exclusively to

499
00:29:45,200 --> 00:29:49,440
Speaker 3: left wing outlets. Occasionally some some what are called neutral outlets.

500
00:29:49,800 --> 00:29:53,360
Speaker 3: But yeah, like if you're searching on Google News for

501
00:29:53,400 --> 00:29:58,960
Speaker 3: stories about the election, ninety seven percent of the articles

502
00:29:58,960 --> 00:30:03,360
Speaker 3: that were linked to or to left wing outlets Donald

503
00:30:03,400 --> 00:30:05,680
Speaker 3: Trump and Joe Biden. If you're looking for stories of

504
00:30:05,920 --> 00:30:09,680
Speaker 3: on Google News about either of them, again, zero percent,

505
00:30:10,280 --> 00:30:13,560
Speaker 3: you know, linked to conservative outlets. The great bulk were

506
00:30:13,560 --> 00:30:17,000
Speaker 3: linked to to left of center or left wing outlets.

507
00:30:17,280 --> 00:30:19,440
Speaker 3: This is what Google. This is how Google News and

508
00:30:19,520 --> 00:30:24,080
Speaker 3: Google more broadly influences the mind. People think they're learning,

509
00:30:24,120 --> 00:30:28,440
Speaker 3: people think they're getting information news, they're only getting Google propaganda.

510
00:30:29,200 --> 00:30:32,920
Speaker 1: Lastly, what are you guys asking Congress to do? I

511
00:30:32,960 --> 00:30:37,080
Speaker 1: know there's been conversations with Speaker Johnson about this, because

512
00:30:37,120 --> 00:30:40,920
Speaker 1: this seems like this would fall under an inkind contribution

513
00:30:41,120 --> 00:30:44,480
Speaker 1: to democratic candidates. What Google is doing? Is there a

514
00:30:44,600 --> 00:30:47,560
Speaker 1: chance that we could see some sort of significant reform here?

515
00:30:47,640 --> 00:30:50,680
Speaker 1: To make this not happen every single election cycle.

516
00:30:51,400 --> 00:30:55,000
Speaker 3: Yeah, Ben, I want to make sure people understand this

517
00:30:55,080 --> 00:30:58,400
Speaker 3: is shocking. The media has an exception here, So let's

518
00:30:58,400 --> 00:31:01,360
Speaker 3: take the media out of it. So you're not a

519
00:31:01,400 --> 00:31:04,520
Speaker 3: part of what I'm about to say. But today in America,

520
00:31:05,160 --> 00:31:08,560
Speaker 3: you're an individual. You do not have free speech rights.

521
00:31:08,960 --> 00:31:12,000
Speaker 3: If I want to say something political and I want

522
00:31:12,040 --> 00:31:15,680
Speaker 3: to promote what I am saying, So like, let's say

523
00:31:15,880 --> 00:31:18,320
Speaker 3: I write a speech and I want to send my

524
00:31:18,560 --> 00:31:22,480
Speaker 3: speech about candidate or about a policy matter, and I

525
00:31:22,520 --> 00:31:24,440
Speaker 3: want to send it to a thousand friends, and I

526
00:31:24,560 --> 00:31:27,120
Speaker 3: print out my speech to send to a thousand friends.

527
00:31:27,640 --> 00:31:31,520
Speaker 3: By law, I am required to file with a federal

528
00:31:31,560 --> 00:31:35,000
Speaker 3: election commission. I have to log my speech, and if

529
00:31:35,040 --> 00:31:37,760
Speaker 3: I don't, it can be considered a crime. I can

530
00:31:37,800 --> 00:31:42,280
Speaker 3: be fined by the federal government for speaking, for trying

531
00:31:42,280 --> 00:31:45,880
Speaker 3: to amplify my voice. But if you're Google today, the

532
00:31:45,880 --> 00:31:49,600
Speaker 3: Federal Election Commission says it can do whatever it wants.

533
00:31:49,640 --> 00:31:53,400
Speaker 3: It can bury, it can use its resources, it's fast resources,

534
00:31:53,520 --> 00:31:57,040
Speaker 3: it can bury campaign websites. It can treat the Democrats

535
00:31:57,040 --> 00:31:59,680
Speaker 3: far better than the Republicans, and it's not considered a

536
00:31:59,720 --> 00:32:03,280
Speaker 3: camp contribution. It's not considered an in time contribution, and

537
00:32:03,320 --> 00:32:08,280
Speaker 3: there's no filing required. Today, big tech has far more

538
00:32:08,360 --> 00:32:10,080
Speaker 3: free speech rights than I do.

539
00:32:10,760 --> 00:32:13,920
Speaker 1: Unbelievable. If people want to get this report and want

540
00:32:13,960 --> 00:32:15,800
Speaker 1: to find out more, where can they go?

541
00:32:15,920 --> 00:32:21,320
Speaker 3: Dan? Right, So, the Media Research Center's big publications called

542
00:32:21,400 --> 00:32:25,200
Speaker 3: NewsBusters NewsBusters dot org. You can go there to find

543
00:32:25,240 --> 00:32:28,400
Speaker 3: this report. Yeah, the study. It's about a twenty page

544
00:32:28,400 --> 00:32:32,280
Speaker 3: study documenting you know, these forty one times over sixteen

545
00:32:32,360 --> 00:32:34,440
Speaker 3: years that Google has interfered in our elections.

546
00:32:34,840 --> 00:32:38,040
Speaker 1: It's incredible, Dan, great work. Congratulations to you guys and

547
00:32:38,080 --> 00:32:40,520
Speaker 1: what you're doing at the Media Research Center at NewsBusters

548
00:32:40,560 --> 00:32:42,680
Speaker 1: dot org. Go there, check it out. Makes you share

549
00:32:42,720 --> 00:32:46,000
Speaker 1: this podcast with your family and friends wherever you are

550
00:32:46,040 --> 00:32:48,400
Speaker 1: on social media, please and we'll see you back here

551
00:32:48,520 --> 00:32:49,040
Speaker 1: tomorrow