1
00:00:03,360 --> 00:00:07,800
Speaker 1: Warning Europe about to enter the arena and join the

2
00:00:07,960 --> 00:00:16,400
Speaker 1: Battle to save America with your host Sean Parnell. Good evening, America,

3
00:00:16,680 --> 00:00:20,800
Speaker 1: Welcome to battle Ground live from sea to Shining Sea

4
00:00:20,840 --> 00:00:25,600
Speaker 1: and everybody in between. Welcome, Patriots, got a huge show

5
00:00:25,800 --> 00:00:30,560
Speaker 1: for you today. We've got Savage Rich Baris on deck.

6
00:00:30,640 --> 00:00:34,720
Speaker 1: And by the way, by the way, he has got

7
00:00:35,080 --> 00:00:40,600
Speaker 1: brand new polling, I mean, hot off the presses, brand

8
00:00:40,640 --> 00:00:43,400
Speaker 1: new polling for us to look at. We're gonna do

9
00:00:43,440 --> 00:00:46,640
Speaker 1: an electoral college breakdown. Obviously he's gonna get a smart

10
00:00:46,640 --> 00:00:48,879
Speaker 1: on his latest poll. We're going to go through some

11
00:00:48,960 --> 00:00:52,800
Speaker 1: of the battleground states and look at the Senate and

12
00:00:52,840 --> 00:00:55,400
Speaker 1: who might control that. If you've been watching this show

13
00:00:55,440 --> 00:00:57,880
Speaker 1: for the for the past year, which I know that

14
00:00:58,000 --> 00:01:02,080
Speaker 1: many of you dedicated members og members of the battle Crew,

15
00:01:02,160 --> 00:01:05,160
Speaker 1: you've been doing that, then you know. But I believe

16
00:01:05,200 --> 00:01:07,680
Speaker 1: that we stand a greater chance of holding the Senate

17
00:01:07,680 --> 00:01:09,880
Speaker 1: than we do the House of Representatives. The Senate map

18
00:01:09,880 --> 00:01:13,360
Speaker 1: for Republicans is very favorable this go around, and that's

19
00:01:13,400 --> 00:01:16,520
Speaker 1: a really, really good thing. But Savage Rich Barris on deck.

20
00:01:17,240 --> 00:01:18,919
Speaker 1: But before we get to that, make sure you smash

21
00:01:18,959 --> 00:01:23,639
Speaker 1: that like button, that little green thumb beneath the video

22
00:01:24,280 --> 00:01:27,399
Speaker 1: smash it. It helps us make the leader board. And

23
00:01:27,520 --> 00:01:33,160
Speaker 1: as my very salty producer, Extraordinary Brock would tell you

24
00:01:33,240 --> 00:01:36,360
Speaker 1: that we've been on the leader board I think almost

25
00:01:36,480 --> 00:01:39,080
Speaker 1: every show now and again that's a testament to all

26
00:01:39,120 --> 00:01:43,559
Speaker 1: of you. Remember remember, remember that this is your show

27
00:01:43,680 --> 00:01:46,480
Speaker 1: and it always will be. And as the audience grows,

28
00:01:47,400 --> 00:01:49,800
Speaker 1: that will never change.

29
00:01:49,920 --> 00:01:50,800
Speaker 2: It just won't.

30
00:01:51,400 --> 00:01:52,920
Speaker 1: So we got some stuff I want to hit right

31
00:01:52,960 --> 00:01:57,639
Speaker 1: off the top before we get to Savage Rich. Another

32
00:01:57,680 --> 00:02:02,000
Speaker 1: school shooting, a school shooting in Georgia, for dead, nine

33
00:02:02,080 --> 00:02:07,000
Speaker 1: wounded at Appalashi High School in Barrow County, Georgia. Suspect

34
00:02:07,120 --> 00:02:09,880
Speaker 1: is in custody. A shooter is a fourteen year old

35
00:02:10,000 --> 00:02:14,040
Speaker 1: kid named Colt Gray. He's going to be tried as

36
00:02:14,240 --> 00:02:19,000
Speaker 1: an adult. But I've got to tell you, first of all,

37
00:02:19,919 --> 00:02:22,320
Speaker 1: my heart and my thoughts and my prayers go out

38
00:02:22,360 --> 00:02:24,639
Speaker 1: to the families of all of those who lost loved ones,

39
00:02:24,800 --> 00:02:29,160
Speaker 1: or to the children that found themselves caught in what

40
00:02:29,360 --> 00:02:35,959
Speaker 1: must have been a hellish, chaotic, horrible traumatic time. As

41
00:02:36,000 --> 00:02:42,120
Speaker 1: a nation, in these moments, it is critically important for

42
00:02:42,200 --> 00:02:47,760
Speaker 1: our nation to put politics aside in collectively mourn as

43
00:02:47,760 --> 00:02:53,359
Speaker 1: a society for these families who lost children or spouses

44
00:02:53,680 --> 00:02:59,560
Speaker 1: who lost husbands, wives. But unfortunately, and again, this is

45
00:02:59,600 --> 00:03:03,360
Speaker 1: something that I place solely at the feet of the

46
00:03:03,440 --> 00:03:09,480
Speaker 1: disgusting commie radical left. They have taken to politicizing all

47
00:03:09,880 --> 00:03:14,480
Speaker 1: most every single issue, and the issue of shootings in

48
00:03:14,520 --> 00:03:20,799
Speaker 1: this country is no different. This shooting happened maybe four

49
00:03:20,840 --> 00:03:25,760
Speaker 1: hours ago, five hours ago tops. The sheriff law enforcement

50
00:03:25,760 --> 00:03:29,240
Speaker 1: officers just had a press conference announcing the details that

51
00:03:29,280 --> 00:03:34,040
Speaker 1: I just read to you. But these soulless life loser

52
00:03:34,160 --> 00:03:39,280
Speaker 1: democrats are already out there politicizing this. And again, when

53
00:03:39,280 --> 00:03:42,760
Speaker 1: I say politicizing it, let me be crystal clear here.

54
00:03:43,680 --> 00:03:47,120
Speaker 1: They are trying to push a political narrative. They are

55
00:03:47,160 --> 00:03:51,200
Speaker 1: trying to move the progressive football down the field. And

56
00:03:51,280 --> 00:03:56,080
Speaker 1: the bodies of those victims are not even cold yet.

57
00:03:57,080 --> 00:03:59,760
Speaker 1: It's horrific, and I'm telling you it's evil, and it

58
00:03:59,800 --> 00:04:03,400
Speaker 1: was normalized under Barack Obama when he was president. But

59
00:04:03,440 --> 00:04:06,560
Speaker 1: look at Kamala on stage politicizing this tragedy already.

60
00:04:06,800 --> 00:04:08,960
Speaker 3: So before I begin, I do want to say a

61
00:04:08,960 --> 00:04:13,680
Speaker 3: few words about this tragic shooting that took place this

62
00:04:13,840 --> 00:04:19,839
Speaker 3: morning in winder Georgia. We're still gathering information about what happened,

63
00:04:20,600 --> 00:04:24,080
Speaker 3: but we know that there were multiple fatalities and injuries.

64
00:04:25,240 --> 00:04:29,880
Speaker 3: And you know, our hearts are with all the students,

65
00:04:29,920 --> 00:04:32,800
Speaker 3: the teachers, and their families, of course, and we are

66
00:04:32,839 --> 00:04:35,560
Speaker 3: grateful to the first responders and the law enforcement that

67
00:04:35,600 --> 00:04:37,840
Speaker 3: we're on the scene. But this is just a senseless

68
00:04:37,880 --> 00:04:42,080
Speaker 3: tragedy on top of so many senseless tragedies. And it's

69
00:04:42,120 --> 00:04:46,560
Speaker 3: just outrageous that every day in our country, in the

70
00:04:46,640 --> 00:04:50,680
Speaker 3: United States of America, that parents have to send their

71
00:04:50,800 --> 00:04:54,920
Speaker 3: children to school worried about whether or not their child

72
00:04:55,000 --> 00:04:59,400
Speaker 3: will come home alive. It's senseless, it is We've got

73
00:04:59,400 --> 00:05:03,120
Speaker 3: to stop it, and we have to end this epidemic

74
00:05:03,240 --> 00:05:06,159
Speaker 3: of gun violence in our country once and for all.

75
00:05:06,480 --> 00:05:09,240
Speaker 3: You know, it doesn't have to be this way. It

76
00:05:09,320 --> 00:05:10,080
Speaker 3: doesn't have.

77
00:05:10,080 --> 00:05:11,000
Speaker 4: To be this way.

78
00:05:12,680 --> 00:05:16,039
Speaker 1: Just last week, I dredged up footage of Kamala Harris

79
00:05:16,120 --> 00:05:20,760
Speaker 1: from twenty nineteen arguing on stage to take police officers

80
00:05:20,800 --> 00:05:26,040
Speaker 1: out of schools, to diminish the amount of protection that

81
00:05:26,120 --> 00:05:29,400
Speaker 1: our children have in schools. Now, in a perfect world,

82
00:05:29,920 --> 00:05:32,279
Speaker 1: would we need cops at schools, of course not.

83
00:05:33,720 --> 00:05:34,760
Speaker 4: But the world is.

84
00:05:34,800 --> 00:05:39,200
Speaker 1: Far from perfect, and it is so important for policymakers

85
00:05:39,279 --> 00:05:42,719
Speaker 1: to approach the world as it is today, not as

86
00:05:43,000 --> 00:05:47,240
Speaker 1: not as how we would like it to be. There

87
00:05:47,320 --> 00:05:50,120
Speaker 1: was a policy posal and a law proposed in Georgia

88
00:05:50,160 --> 00:05:53,800
Speaker 1: in twenty fourteen that would have paid teachers in schools

89
00:05:54,120 --> 00:05:58,440
Speaker 1: who volunteered for this an extra ten thousand dollars a year,

90
00:05:58,720 --> 00:06:03,279
Speaker 1: and they would state would training to carry a firearm

91
00:06:03,400 --> 00:06:05,640
Speaker 1: in school to combat school shootings.

92
00:06:05,680 --> 00:06:06,480
Speaker 2: That's just like this.

93
00:06:07,160 --> 00:06:13,120
Speaker 1: The superintendent of this school district rejected that. And of

94
00:06:13,120 --> 00:06:16,000
Speaker 1: course there are reports out there today as well that

95
00:06:16,160 --> 00:06:18,920
Speaker 1: say that the school had advanced warning of this shooting

96
00:06:18,920 --> 00:06:21,520
Speaker 1: ahead of time, a phone call earlier in the morning

97
00:06:21,520 --> 00:06:25,039
Speaker 1: that said that the school was at risk for shooting.

98
00:06:25,920 --> 00:06:28,040
Speaker 1: So as facts continue to come out on this, I'll

99
00:06:28,120 --> 00:06:31,039
Speaker 1: keep talking to you about it. But these grulish Democrats

100
00:06:31,160 --> 00:06:35,000
Speaker 1: just can't stop themselves from politicizing a tragedy. It wasn't

101
00:06:35,040 --> 00:06:38,280
Speaker 1: just Kamala, but it was the worst press secretary in

102
00:06:38,320 --> 00:06:40,720
Speaker 1: the history of the world. Of course, a dei hire

103
00:06:40,839 --> 00:06:44,440
Speaker 1: KJP from the White House press room as well politicizing this.

104
00:06:44,600 --> 00:06:49,120
Speaker 5: Listen, we continue to call on Congress to do something,

105
00:06:49,720 --> 00:06:55,120
Speaker 5: to do something. We need universal background checks, we need

106
00:06:55,160 --> 00:07:01,160
Speaker 5: ban to ban assault weapons and high capacity magazines, require

107
00:07:01,279 --> 00:07:06,080
Speaker 5: safe storage of firearms, invest in violence prevention programs, and

108
00:07:06,160 --> 00:07:11,800
Speaker 5: pass a national red flag law. Enough is enough, and

109
00:07:11,880 --> 00:07:12,880
Speaker 5: I cannot say this.

110
00:07:14,320 --> 00:07:14,600
Speaker 3: Enough.

111
00:07:14,720 --> 00:07:19,240
Speaker 5: Which is enough is enough? We cannot allow this to

112
00:07:19,280 --> 00:07:20,520
Speaker 5: happen in our communities.

113
00:07:22,560 --> 00:07:26,000
Speaker 1: Enough is enough. I cannot say this enough, enough is enough.

114
00:07:28,080 --> 00:07:33,360
Speaker 1: None of the things that Kamala Harris or KJP or

115
00:07:33,440 --> 00:07:36,800
Speaker 1: any of these commi hack democrats are proposing would actually

116
00:07:36,840 --> 00:07:39,440
Speaker 1: prevent a tragedy like this from happening.

117
00:07:40,280 --> 00:07:40,720
Speaker 2: None of it.

118
00:07:42,920 --> 00:07:46,800
Speaker 1: What they are proposing would punish somebody like me, somebody

119
00:07:46,880 --> 00:07:50,280
Speaker 1: like Commander Melanie, or any one of you, law abiding

120
00:07:50,320 --> 00:07:53,400
Speaker 1: gun owners. Millions upon millions of law abiding gun owners

121
00:07:53,400 --> 00:07:55,560
Speaker 1: in this country who have never committed a crime and

122
00:07:55,600 --> 00:07:58,080
Speaker 1: don't intend to ever commit a crime, and are safe

123
00:07:58,600 --> 00:08:06,239
Speaker 1: gun owners. These laws disproportionately harm you, and we should

124
00:08:06,280 --> 00:08:09,960
Speaker 1: therefore be suspect of any law pushed by these communist

125
00:08:10,120 --> 00:08:13,640
Speaker 1: thugs and power that punish the law abiding instead of

126
00:08:13,680 --> 00:08:18,880
Speaker 1: the criminals who actually commit crimes. A society that does

127
00:08:18,960 --> 00:08:24,520
Speaker 1: that does not last long. When we are punishing law

128
00:08:24,560 --> 00:08:29,000
Speaker 1: abiding citizens for the actions of criminals, policy itself is

129
00:08:29,080 --> 00:08:35,160
Speaker 1: upside down. It absolutely should not happen but what a

130
00:08:35,200 --> 00:08:37,320
Speaker 1: sad state of affairs that we have here in this

131
00:08:37,440 --> 00:08:42,280
Speaker 1: country right now, where collectively as a country, only half

132
00:08:42,280 --> 00:08:47,840
Speaker 1: of the country a conservative Republican constitutionalists take a moment

133
00:08:47,920 --> 00:08:50,920
Speaker 1: out of their day and pray for those family members

134
00:08:50,920 --> 00:08:53,080
Speaker 1: and those parents who are receiving a call that every

135
00:08:53,160 --> 00:08:58,080
Speaker 1: single parent dreads. Anybody that has children, raised children, has grandkids,

136
00:08:58,600 --> 00:09:01,440
Speaker 1: you dread a call like that, fear it every single day.

137
00:09:03,800 --> 00:09:06,200
Speaker 1: And these parents are getting a call like that tonight.

138
00:09:06,280 --> 00:09:08,800
Speaker 1: Somewhere in America are getting a call like that tonight.

139
00:09:09,920 --> 00:09:13,880
Speaker 1: And what they don't need are soulless, loser democrats at

140
00:09:13,920 --> 00:09:20,520
Speaker 1: podiums politicizing their child's death. What they need is a

141
00:09:20,600 --> 00:09:25,920
Speaker 1: country to unify and rally around them and mourn with them.

142
00:09:26,800 --> 00:09:31,440
Speaker 1: That's what they desperately need, and moving forward, I pray

143
00:09:31,520 --> 00:09:33,640
Speaker 1: for leadership in this country that will do just that,

144
00:09:35,720 --> 00:09:37,720
Speaker 1: because to me, I feel like we are on an

145
00:09:37,880 --> 00:09:41,480
Speaker 1: untenable path. We are so polarized right now, and by

146
00:09:41,520 --> 00:09:44,600
Speaker 1: the way, not the fault of the right. The right

147
00:09:44,720 --> 00:09:47,560
Speaker 1: is just starting to wake up and fight back. We

148
00:09:47,720 --> 00:09:51,560
Speaker 1: are where we are in this nation today because of

149
00:09:51,600 --> 00:09:57,760
Speaker 1: the radical left and the weak, spineless, loser Republicans who

150
00:09:57,800 --> 00:10:04,600
Speaker 1: have done nothing to stop they're onslaught their quest to

151
00:10:04,679 --> 00:10:10,160
Speaker 1: fundamentally transform this country. Weak Republicans are just as much

152
00:10:10,200 --> 00:10:13,800
Speaker 1: responsible for where we are in this country as these radical,

153
00:10:13,880 --> 00:10:19,080
Speaker 1: commie thug Democrats. But I'm so tired of the left

154
00:10:19,760 --> 00:10:25,360
Speaker 1: politicizing tragedies all in an attempt to disarm you, because

155
00:10:25,400 --> 00:10:28,120
Speaker 1: they know that if they can disarm you, then you're

156
00:10:28,240 --> 00:10:32,920
Speaker 1: much easier to control. And what did I talk about

157
00:10:33,000 --> 00:10:36,559
Speaker 1: yesterday in my opening, It's all Democrat Republican. It's all

158
00:10:36,559 --> 00:10:39,079
Speaker 1: about to the people who are really calling the shots,

159
00:10:39,320 --> 00:10:41,520
Speaker 1: it's all about the illusion of choice.

160
00:10:42,160 --> 00:10:45,600
Speaker 2: Nicki Haley, Joe Biden. Nicki Haley Conservative, Joe Biden Liberal.

161
00:10:45,640 --> 00:10:47,920
Speaker 1: But at the end of the day, they are the

162
00:10:47,960 --> 00:10:51,840
Speaker 1: same on every major issue of substance that matters to

163
00:10:51,920 --> 00:10:55,920
Speaker 1: all of the people who are pulling the strings the

164
00:10:56,000 --> 00:10:59,880
Speaker 1: illusion of choice. Never forget that it's all about control.

165
00:11:01,320 --> 00:11:03,840
Speaker 1: The Second Amendment. We've got to defend it at all costs,

166
00:11:03,920 --> 00:11:07,719
Speaker 1: and we can't let them. We can't let them disarm us.

167
00:11:08,280 --> 00:11:13,040
Speaker 1: An armed society is a polite society. If you're armed,

168
00:11:13,080 --> 00:11:15,760
Speaker 1: have the ability to protect yourself and protect your family

169
00:11:16,360 --> 00:11:19,240
Speaker 1: from a tyrannical government, you are a citizen. If you

170
00:11:19,280 --> 00:11:21,640
Speaker 1: are not, you are a subject, and come hell or

171
00:11:21,720 --> 00:11:24,480
Speaker 1: high water, we can never allow that to happen in

172
00:11:24,520 --> 00:11:29,960
Speaker 1: this country. By the way, By the way, before I

173
00:11:30,040 --> 00:11:32,720
Speaker 1: move on from this, the people who were bragging about

174
00:11:32,720 --> 00:11:34,960
Speaker 1: being the last person in the room, whether it's Kamala

175
00:11:35,000 --> 00:11:38,120
Speaker 1: Harris or KJP whither. The people who left tens of

176
00:11:38,200 --> 00:11:41,840
Speaker 1: thousands of guns to the Taliban are now proposing that

177
00:11:41,920 --> 00:11:44,960
Speaker 1: they disarm us. Well, you know what, come and freaking

178
00:11:45,040 --> 00:11:50,120
Speaker 1: take them. That ain't happening. Okay, I gotta talk to

179
00:11:50,160 --> 00:11:52,240
Speaker 1: you about this New York Post story before we get

180
00:11:52,240 --> 00:11:55,800
Speaker 1: Savage rich on. But this New York Post headline, I'm

181
00:11:55,800 --> 00:11:57,960
Speaker 1: telling you this is good. If you haven't heard it already,

182
00:11:59,120 --> 00:12:00,960
Speaker 1: I mean, it's gonna blow your mind. Or maybe it

183
00:12:01,000 --> 00:12:04,160
Speaker 1: won't because maybe you're just so used to shit like

184
00:12:04,200 --> 00:12:07,880
Speaker 1: this happening now nothing surprises you. I know that if

185
00:12:08,320 --> 00:12:13,840
Speaker 1: I told this story to Brock and my salty producer extraordinaire,

186
00:12:13,960 --> 00:12:15,760
Speaker 1: he would probably say, you know, as bad as that

187
00:12:15,880 --> 00:12:17,720
Speaker 1: story is, does it really surprise you.

188
00:12:17,840 --> 00:12:20,640
Speaker 2: He said this to me many times, and.

189
00:12:20,640 --> 00:12:24,240
Speaker 1: Each and every time in response, I say, you know what, No,

190
00:12:24,679 --> 00:12:27,200
Speaker 1: it doesn't surprise me at all. So the headline from

191
00:12:27,200 --> 00:12:30,240
Speaker 1: the New York Post, most agents guarding Trump during the

192
00:12:30,280 --> 00:12:34,959
Speaker 1: assassination attempt were Homeland security personnel who took two hour

193
00:12:35,240 --> 00:12:40,400
Speaker 1: online webinar. This is from Senator Josh Holly. The article

194
00:12:40,440 --> 00:12:44,240
Speaker 1: goes on Senator Josh Holly said he's been informed by

195
00:12:44,280 --> 00:12:48,560
Speaker 1: whistleblowers that most of the agents assigned to protect Donald

196
00:12:48,600 --> 00:12:52,080
Speaker 1: Trump during the assassination attempt at is Butler Rally in

197
00:12:52,120 --> 00:12:55,960
Speaker 1: Pennsylvania in July, we're homeland security personnel who had minimal

198
00:12:56,000 --> 00:13:00,000
Speaker 1: protective training. Instead of having dozens of Secret Service agents

199
00:13:00,160 --> 00:13:03,480
Speaker 1: on his detail for the July thirteenth rally, Trump was

200
00:13:03,559 --> 00:13:07,559
Speaker 1: mostly guarded by homeland security agents who only received online

201
00:13:07,600 --> 00:13:11,880
Speaker 1: webinar training before the event. Holly, Republican, Missouri, said in

202
00:13:11,920 --> 00:13:15,400
Speaker 1: an interview on Jesse Waters Primetime Tuesday Evening. And this

203
00:13:15,440 --> 00:13:19,440
Speaker 1: is a quote from Josh Holly. A two hour online webinar,

204
00:13:19,520 --> 00:13:22,360
Speaker 1: and I'm told that half of the time the sounds

205
00:13:22,360 --> 00:13:25,679
Speaker 1: of the webinar didn't even work, Holly claims, So think

206
00:13:25,679 --> 00:13:28,920
Speaker 1: about this. The former president of the United States is

207
00:13:29,000 --> 00:13:33,560
Speaker 1: sent on stage. Most of the people there are not trained,

208
00:13:33,720 --> 00:13:38,040
Speaker 1: they're not qualified, they only got a webinar training, and

209
00:13:38,080 --> 00:13:39,120
Speaker 1: that didn't even work.

210
00:13:39,160 --> 00:13:41,760
Speaker 2: He scoffed. He said, it's absolutely outrageous.

211
00:13:41,840 --> 00:13:46,680
Speaker 1: So we've been talking about for over a month now,

212
00:13:46,800 --> 00:13:48,440
Speaker 1: how none of this makes sense.

213
00:13:49,800 --> 00:13:51,080
Speaker 2: We even did a breakdown.

214
00:13:51,120 --> 00:13:53,360
Speaker 1: I think I had Savage Rich on the show while

215
00:13:53,360 --> 00:13:55,760
Speaker 1: we were watching the Secret Service coalesce on him.

216
00:13:55,800 --> 00:13:57,160
Speaker 2: And yes, of course they were brave.

217
00:13:57,800 --> 00:14:00,679
Speaker 1: They were willing to put themselves ian a bullet to

218
00:14:00,720 --> 00:14:01,360
Speaker 1: protect Trump.

219
00:14:01,400 --> 00:14:02,360
Speaker 2: That's not in question.

220
00:14:03,280 --> 00:14:05,959
Speaker 1: But hey, we don't get to make mistakes out there

221
00:14:05,960 --> 00:14:08,120
Speaker 1: on protective details. Yeah, I was just in the infantry.

222
00:14:08,160 --> 00:14:10,280
Speaker 1: I'm a combat better and I'm not a Secret Service guy.

223
00:14:10,559 --> 00:14:14,120
Speaker 1: But the enemy just has to be right one single time.

224
00:14:14,280 --> 00:14:17,720
Speaker 1: We gotta be perfect every single time. Otherwise people that

225
00:14:17,760 --> 00:14:21,440
Speaker 1: we protect, soldiers that are under our command, they lose

226
00:14:21,480 --> 00:14:24,960
Speaker 1: their life. And it took those Secret Service agents would

227
00:14:24,960 --> 00:14:27,320
Speaker 1: come to find out that they're not Secret Service agents

228
00:14:27,320 --> 00:14:32,440
Speaker 1: at all, just Apartment of Homeland Security agents with webinar training.

229
00:14:32,520 --> 00:14:32,880
Speaker 2: If that.

230
00:14:34,040 --> 00:14:38,000
Speaker 1: It took them forever to get Trump off the stage

231
00:14:38,160 --> 00:14:41,040
Speaker 1: and into an armored vehicle and off of the X.

232
00:14:41,520 --> 00:14:47,800
Speaker 1: It took them an extraordinarily long time. We covered the

233
00:14:47,920 --> 00:14:50,080
Speaker 1: whole thing on this show. Well you know why it

234
00:14:50,120 --> 00:14:53,480
Speaker 1: took them a long time. One they weren't Secret Service agents. Two,

235
00:14:53,560 --> 00:14:56,360
Speaker 1: they were Homeland Security agents pulled that were pulled off

236
00:14:56,400 --> 00:15:00,840
Speaker 1: of child exploitation cases who took an online way about

237
00:15:01,360 --> 00:15:07,600
Speaker 1: protective training. So Trump, the most threatened man on the

238
00:15:07,600 --> 00:15:10,920
Speaker 1: face of the planet, just so happened to have a

239
00:15:11,040 --> 00:15:15,000
Speaker 1: Secret Service detail pulled from him, diverted to Joe Biden,

240
00:15:15,040 --> 00:15:17,680
Speaker 1: who was in Pittsburgh at the same day. She had

241
00:15:17,680 --> 00:15:20,960
Speaker 1: twelve or thirteen actual Secret Service agents on her person

242
00:15:21,000 --> 00:15:21,440
Speaker 1: that day.

243
00:15:21,640 --> 00:15:22,400
Speaker 2: Trump had.

244
00:15:24,000 --> 00:15:27,560
Speaker 1: Homeland Security augmentees who had online webinar training. And you

245
00:15:27,600 --> 00:15:31,640
Speaker 1: expect me to believe that this is just all a coincidence. Again,

246
00:15:32,200 --> 00:15:35,480
Speaker 1: I talk about this ad nauseum, but it's a conspiracy theory.

247
00:15:35,520 --> 00:15:39,680
Speaker 1: To think that everything just went wrong. It's absolutely insane.

248
00:15:40,000 --> 00:15:44,200
Speaker 1: And as more information comes out, the more I'm entrenched in.

249
00:15:44,160 --> 00:15:45,080
Speaker 2: This belief system.

250
00:15:46,120 --> 00:15:48,240
Speaker 1: And of course, I'm sure you saw the new Russia

251
00:15:48,280 --> 00:15:51,960
Speaker 1: collusion hoax, the Department of Justice coming out in Merrick

252
00:15:52,040 --> 00:15:56,760
Speaker 1: Garland coming out saying that, oh, there's Russia interference in

253
00:15:56,800 --> 00:16:00,920
Speaker 1: this election. Look complete bullshit. I don't believe a word

254
00:16:00,960 --> 00:16:03,160
Speaker 1: of it. You shouldn't either. I'm sure that you don't

255
00:16:03,160 --> 00:16:06,880
Speaker 1: even need me telling you that. But this, I think

256
00:16:07,000 --> 00:16:12,040
Speaker 1: just shows you how desperate the Democrats are becoming. And

257
00:16:12,080 --> 00:16:14,040
Speaker 1: we've got Savage Rich Barris on deck and we'll talk

258
00:16:14,040 --> 00:16:18,680
Speaker 1: a hell of a lot more about this. But Rich

259
00:16:18,720 --> 00:16:21,800
Speaker 1: and I have been telling you for some time, don't

260
00:16:21,800 --> 00:16:26,360
Speaker 1: trust the public polls. This is a propaganda operation, a

261
00:16:27,640 --> 00:16:31,560
Speaker 1: astro turf operation to make Kamala feel more popular than

262
00:16:31,600 --> 00:16:32,280
Speaker 1: she really is.

263
00:16:32,840 --> 00:16:35,440
Speaker 2: The public polls are a disaster. We've said that.

264
00:16:35,400 --> 00:16:39,320
Speaker 1: The internal polling is far, far worse for Kamala, and

265
00:16:39,360 --> 00:16:42,400
Speaker 1: I think that that's coming to fruition now. And I

266
00:16:42,400 --> 00:16:45,080
Speaker 1: think they're having to cook up Russia collusion ten point

267
00:16:45,160 --> 00:16:50,280
Speaker 1: zero because they know that Kamala is not doing well. Okay,

268
00:16:50,520 --> 00:16:53,680
Speaker 1: without further ado, let's bring on my friend, director of

269
00:16:53,680 --> 00:16:56,600
Speaker 1: Big Data poll and host of Inside the Numbers, Savage

270
00:16:56,640 --> 00:16:58,360
Speaker 1: Rich Barris. Welcome, my friend.

271
00:17:00,120 --> 00:17:00,920
Speaker 4: What's up, buddy?

272
00:17:01,400 --> 00:17:03,600
Speaker 2: You got to come on with like a guitar one time,

273
00:17:04,040 --> 00:17:05,240
Speaker 2: you know right over there.

274
00:17:05,320 --> 00:17:08,560
Speaker 4: Actually, you know you've.

275
00:17:08,040 --> 00:17:09,680
Speaker 2: Told me that you're a guitar player. You know I

276
00:17:09,720 --> 00:17:11,720
Speaker 2: played guitar too. We should.

277
00:17:12,280 --> 00:17:15,040
Speaker 1: I wonder if the audience would like, you know, some

278
00:17:15,080 --> 00:17:17,600
Speaker 1: conservative jam sessions here on wrong.

279
00:17:17,680 --> 00:17:21,880
Speaker 6: Oh, I'll tell you what, man, I'll do it, I'll

280
00:17:21,960 --> 00:17:25,679
Speaker 6: do it. I had a speaking thing once and I

281
00:17:25,760 --> 00:17:30,680
Speaker 6: did have my goal top and I didn't have my

282
00:17:30,880 --> 00:17:32,280
Speaker 6: am though was a different amp.

283
00:17:32,280 --> 00:17:32,960
Speaker 4: But what are you gonna do?

284
00:17:33,000 --> 00:17:34,879
Speaker 6: I brought it along because I just I was in

285
00:17:34,920 --> 00:17:39,320
Speaker 6: the middle of one of my crazy finger exercises forever phases.

286
00:17:39,280 --> 00:17:41,400
Speaker 4: And I played the Godfather for everybody once.

287
00:17:41,480 --> 00:17:44,400
Speaker 6: It was pretty cool. I got that from Slash though.

288
00:17:44,520 --> 00:17:47,520
Speaker 6: Actually I saw him play it back like years ago.

289
00:17:47,520 --> 00:17:49,920
Speaker 6: I think I was like fifteen. I was like, whoa,

290
00:17:50,960 --> 00:17:54,679
Speaker 6: Like it was amazing, and uh yeah, I mean I

291
00:17:54,760 --> 00:17:56,440
Speaker 6: love I love that sound.

292
00:17:56,720 --> 00:17:56,919
Speaker 4: You know.

293
00:17:57,119 --> 00:17:59,080
Speaker 1: You know what though rich like I think people, I

294
00:17:59,119 --> 00:18:02,520
Speaker 1: think you BLI minds man, because Polsters tend to be like.

295
00:18:02,600 --> 00:18:04,600
Speaker 2: Well we kind of look at the cross cabs on

296
00:18:04,680 --> 00:18:05,560
Speaker 2: these poles.

297
00:18:05,720 --> 00:18:07,840
Speaker 1: And if you're busting out at Gibson less Paw, I

298
00:18:07,880 --> 00:18:11,760
Speaker 1: think you would really you'd rally people to you know,

299
00:18:12,280 --> 00:18:16,560
Speaker 1: barras or It's true.

300
00:18:16,400 --> 00:18:19,280
Speaker 6: It's totally true. I actually I was thinking, like, I

301
00:18:19,320 --> 00:18:21,080
Speaker 6: have this case over there. I don't know how you

302
00:18:21,119 --> 00:18:24,840
Speaker 6: store yours, but like it's a stand up it it's

303
00:18:24,880 --> 00:18:25,879
Speaker 6: like eight guitars.

304
00:18:26,520 --> 00:18:28,040
Speaker 4: I don't like it sitting there like that.

305
00:18:28,119 --> 00:18:30,040
Speaker 6: I feel like the neck is gonna warp or something

306
00:18:30,119 --> 00:18:31,360
Speaker 6: like I want to put it back in the case,

307
00:18:31,440 --> 00:18:31,960
Speaker 6: scaring me.

308
00:18:32,040 --> 00:18:34,320
Speaker 4: But it's pretty. So it's like it's like a piece

309
00:18:34,359 --> 00:18:35,760
Speaker 4: of furniture. Man, it's a fit.

310
00:18:35,880 --> 00:18:40,520
Speaker 6: It's a Gibson Custom Shop fifty seven gold top like

311
00:18:40,640 --> 00:18:43,000
Speaker 6: made how they made it in fifty seven originally, like

312
00:18:43,119 --> 00:18:45,960
Speaker 6: or how they wired it everything. I mean, it's crazy,

313
00:18:46,200 --> 00:18:48,119
Speaker 6: but I swapped out the pickups. I'm an ow and

314
00:18:48,160 --> 00:18:50,080
Speaker 6: Aco two kind of guy like them. I like that

315
00:18:50,200 --> 00:18:53,160
Speaker 6: mid range magnet and you know I love it. Yeah,

316
00:18:53,240 --> 00:18:54,399
Speaker 6: man it we should do that.

317
00:18:54,920 --> 00:18:58,840
Speaker 1: Listen to this guy talking about guitars like he's like,

318
00:18:58,960 --> 00:19:02,680
Speaker 1: he's I don't know, Santana.

319
00:19:03,160 --> 00:19:06,439
Speaker 4: I like my own Lama pedal and everything. Brother, I did.

320
00:19:06,840 --> 00:19:09,359
Speaker 6: I ad an led to that puppy and I changed

321
00:19:09,359 --> 00:19:11,879
Speaker 6: the resistor because again I like mid range, so like

322
00:19:12,359 --> 00:19:15,119
Speaker 6: I swap the resist two resistors out of it to

323
00:19:15,160 --> 00:19:17,920
Speaker 6: make it, to make it sound more like the way

324
00:19:17,960 --> 00:19:18,639
Speaker 6: I want to sound.

325
00:19:19,080 --> 00:19:19,280
Speaker 2: You know.

326
00:19:20,720 --> 00:19:22,720
Speaker 1: So people were saying, people are saying in the chat

327
00:19:22,800 --> 00:19:24,880
Speaker 1: race saying in the chat that he would do the drums.

328
00:19:24,920 --> 00:19:27,879
Speaker 1: He'd played the drums, and we got McRoy nation in

329
00:19:27,920 --> 00:19:29,600
Speaker 1: the chat right now we've got the battle crew in

330
00:19:29,640 --> 00:19:32,399
Speaker 1: the chat. We have people volunteering to play instruments for

331
00:19:32,440 --> 00:19:34,240
Speaker 1: the band. We could have a pretty cool power trio.

332
00:19:34,640 --> 00:19:37,359
Speaker 4: We could My son plays bass too. I kid you not.

333
00:19:38,119 --> 00:19:40,560
Speaker 2: Oh man, it was really cool.

334
00:19:40,800 --> 00:19:42,840
Speaker 4: He's he We had a lot of fun together.

335
00:19:42,960 --> 00:19:46,199
Speaker 1: You could have Commander Melanie and Savage Laura on stage

336
00:19:46,240 --> 00:19:48,080
Speaker 1: banging little tambourines.

337
00:19:47,480 --> 00:19:53,240
Speaker 4: Off like the monkeys. Remember the monkeys got sleep right?

338
00:19:53,359 --> 00:19:53,520
Speaker 2: You know?

339
00:19:53,600 --> 00:19:55,960
Speaker 6: He said those two girls and they were pretty so

340
00:19:56,000 --> 00:19:59,440
Speaker 6: everybody wanted to watch. So even if we suck, we'll

341
00:19:59,480 --> 00:20:03,040
Speaker 6: just put those to.

342
00:20:03,760 --> 00:20:06,920
Speaker 2: Media. Can see listen, you're watching this show.

343
00:20:07,000 --> 00:20:10,000
Speaker 1: You get Savage Rich Bearris, cheer up, Sleepy ge Like

344
00:20:10,480 --> 00:20:13,480
Speaker 1: singing the song within seconds of them being on the show.

345
00:20:13,520 --> 00:20:16,200
Speaker 2: You don't get this anywhere else, no, sir.

346
00:20:17,400 --> 00:20:20,479
Speaker 1: So okay, So there's so much I want to get

347
00:20:20,520 --> 00:20:22,320
Speaker 1: your thoughts on, and we'll get into the polling in

348
00:20:22,359 --> 00:20:25,560
Speaker 1: a second. But what do you make of you know,

349
00:20:25,640 --> 00:20:28,360
Speaker 1: first of all, there's this tragic mass shooting in Georgia.

350
00:20:29,080 --> 00:20:31,480
Speaker 1: Children lose their life, two teachers lose their life, two

351
00:20:31,560 --> 00:20:35,359
Speaker 1: kids lose their life, and Kamala and KJP and these soulless,

352
00:20:35,359 --> 00:20:41,159
Speaker 1: hacked democrats are already out there pushing a political narrative like, hey,

353
00:20:41,200 --> 00:20:42,879
Speaker 1: we got to be we gotta take the guns, we

354
00:20:42,920 --> 00:20:45,080
Speaker 1: need red flag laws, and of course none of those

355
00:20:45,080 --> 00:20:48,840
Speaker 1: things would solve any any of these shootings. But like,

356
00:20:49,280 --> 00:20:54,080
Speaker 1: it just drives me crazy that we've normalized politicizing these tragedies.

357
00:20:54,080 --> 00:20:57,840
Speaker 1: Of course it started with Barack Obama, But what do

358
00:20:57,880 --> 00:20:58,840
Speaker 1: you make of that?

359
00:20:59,000 --> 00:21:01,160
Speaker 2: I mean, it's absolutely ridiculous.

360
00:21:01,520 --> 00:21:05,880
Speaker 6: What I always find horrendous about this issue is really

361
00:21:05,880 --> 00:21:11,399
Speaker 6: what you just said. The data doesn't matter right at all.

362
00:21:11,560 --> 00:21:15,520
Speaker 6: They just don't care about politicizing the deaths of children.

363
00:21:15,960 --> 00:21:17,600
Speaker 6: I got to be honest with you. While I mean

364
00:21:17,640 --> 00:21:20,439
Speaker 6: I'm a parent, you're a parent. My heart bleeds for

365
00:21:20,480 --> 00:21:23,160
Speaker 6: the parents of like Sandy Hook, But the way they

366
00:21:23,200 --> 00:21:26,000
Speaker 6: exploit the deaths of those kids, I mean, you can

367
00:21:26,119 --> 00:21:28,960
Speaker 6: barely click on a YouTube ad that's political in nature

368
00:21:29,000 --> 00:21:31,879
Speaker 6: without seeing an ad from those people, and you know,

369
00:21:31,960 --> 00:21:34,520
Speaker 6: one parent after the other. And while my heart bleeds

370
00:21:34,520 --> 00:21:39,000
Speaker 6: for them, it's I mean, it's sad that, like you

371
00:21:39,160 --> 00:21:42,280
Speaker 6: can't have an honest conversation shown the country's been around

372
00:21:42,320 --> 00:21:45,399
Speaker 6: since you know, we're going on two and a half centuries.

373
00:21:45,920 --> 00:21:51,160
Speaker 6: The Second Amendment was ratified in December of that year, right,

374
00:21:51,320 --> 00:21:52,720
Speaker 6: I mean it's been around forever.

375
00:21:52,840 --> 00:21:56,760
Speaker 4: It was. In fact, it did, in fact cover everything.

376
00:21:56,840 --> 00:21:59,120
Speaker 6: You know, you're idiots like Joe Biden say, oh, they

377
00:21:59,160 --> 00:22:03,480
Speaker 6: didn't mean anything you wanted. You didn't see you you

378
00:22:03,560 --> 00:22:06,280
Speaker 6: did back ass, right? I mean there was a there

379
00:22:06,280 --> 00:22:10,400
Speaker 6: were multiple wealthy families that built ironclads stupid. I mean

380
00:22:10,440 --> 00:22:13,440
Speaker 6: they had warships, private warships.

381
00:22:13,880 --> 00:22:15,119
Speaker 4: Uh, there was.

382
00:22:15,160 --> 00:22:17,480
Speaker 6: I would like to read a lot of primary sources

383
00:22:17,480 --> 00:22:20,640
Speaker 6: and more than one people, more than one person would

384
00:22:20,720 --> 00:22:23,840
Speaker 6: joke about Alexander Hamilton being a monarch in like a

385
00:22:23,840 --> 00:22:27,080
Speaker 6: monarchist by nature and always wanting a standing army.

386
00:22:27,359 --> 00:22:29,320
Speaker 4: So they're like, you know, basically joking.

387
00:22:29,520 --> 00:22:31,640
Speaker 6: Modern day would be like you and I saying, man,

388
00:22:31,640 --> 00:22:33,840
Speaker 6: I better buy a cannon because this guy's nuts, you know,

389
00:22:33,960 --> 00:22:35,080
Speaker 6: Like that's.

390
00:22:34,920 --> 00:22:37,840
Speaker 4: The way it was, you know, and none of that matters.

391
00:22:37,920 --> 00:22:41,760
Speaker 6: So what is why if the Second Amendment was ratified

392
00:22:41,840 --> 00:22:45,080
Speaker 6: that long ago, why are we having these problems now?

393
00:22:45,160 --> 00:22:48,440
Speaker 6: Because mass shootings are a modern day phenomena that I

394
00:22:48,760 --> 00:22:51,800
Speaker 6: don't like to repeat it. You know, certain things, right,

395
00:22:51,800 --> 00:22:54,000
Speaker 6: the University of Texas, Right, I'm not going to say

396
00:22:54,000 --> 00:22:56,439
Speaker 6: his name, but that's a modern phenomena.

397
00:22:56,600 --> 00:22:59,320
Speaker 4: After the sixties generation after the Flower Child.

398
00:23:00,359 --> 00:23:01,600
Speaker 2: There's a lot to this rich.

399
00:23:01,680 --> 00:23:03,679
Speaker 1: I mean, there's like the fact your point of like,

400
00:23:03,680 --> 00:23:05,679
Speaker 1: I'm not going to say the name I you know,

401
00:23:05,840 --> 00:23:10,119
Speaker 1: I you don't want to just the notoriety. You have

402
00:23:10,160 --> 00:23:13,399
Speaker 1: to make them infamous. I think we have to have

403
00:23:13,480 --> 00:23:17,800
Speaker 1: a conversation about you know, selective serotonin reuptake inhibitors SSR

404
00:23:17,920 --> 00:23:23,159
Speaker 1: eyes and these these drugs that we give to kids.

405
00:23:23,280 --> 00:23:26,480
Speaker 1: I'm telling you, having spent time in a clinical psychology

406
00:23:26,520 --> 00:23:29,639
Speaker 1: PhD program looking at some of this stuff, and and

407
00:23:29,640 --> 00:23:32,439
Speaker 1: and looking at the research where they talk about the

408
00:23:32,560 --> 00:23:35,760
Speaker 1: drugs effect on certain people. All they will tell you

409
00:23:35,760 --> 00:23:37,840
Speaker 1: if you look actually in the research is that, well,

410
00:23:37,880 --> 00:23:41,199
Speaker 1: we don't it. Results may vary for the individual, but

411
00:23:41,280 --> 00:23:45,199
Speaker 1: in the aggregate over time we see slight changes. And

412
00:23:45,200 --> 00:23:47,600
Speaker 1: I'm like, well, if you're going to a psychiatrist and

413
00:23:47,640 --> 00:23:49,600
Speaker 1: asking for jour And by the way, I'm not like

414
00:23:50,080 --> 00:23:54,600
Speaker 1: bashing psychiatric medication, I'm not doing that. I'm just saying

415
00:23:54,640 --> 00:23:56,560
Speaker 1: that maybe we should be a little bit more careful

416
00:23:56,600 --> 00:23:58,959
Speaker 1: about what we're prescribing to our children, whose brains are

417
00:23:59,040 --> 00:24:03,520
Speaker 1: changing all the time. You know, like your brain's changed,

418
00:24:03,720 --> 00:24:07,760
Speaker 1: isn't Finally, like fully intact until you're in your mid twenties,

419
00:24:07,960 --> 00:24:11,200
Speaker 1: giving kids. All these different drugs and neurotransmitters are changing

420
00:24:11,240 --> 00:24:14,119
Speaker 1: in their brain. Who knows what homeostasis is. So I

421
00:24:14,119 --> 00:24:17,639
Speaker 1: think you gotta have a conversation about that. I don't

422
00:24:17,720 --> 00:24:21,160
Speaker 1: think that the conversation is it needs to be around

423
00:24:21,240 --> 00:24:22,920
Speaker 1: curtailing other people's freedom.

424
00:24:23,480 --> 00:24:26,720
Speaker 4: I mean, couple that with fatherlessness and all the other

425
00:24:26,920 --> 00:24:30,000
Speaker 4: base problems that we have in this society. Again, I mean,

426
00:24:30,320 --> 00:24:33,680
Speaker 4: it's a modern phenomena that started in with the sixties

427
00:24:33,760 --> 00:24:38,840
Speaker 4: generation and before that, the before and again, I shouldn't

428
00:24:38,840 --> 00:24:41,240
Speaker 4: really say the event because listen, folks, Before I even

429
00:24:41,520 --> 00:24:44,960
Speaker 4: say this, it's important to remember that the academics on

430
00:24:45,040 --> 00:24:47,879
Speaker 4: this and law enforcement have been telling media this for years.

431
00:24:48,480 --> 00:24:51,520
Speaker 6: There's what's called a contagion event. When you name these people,

432
00:24:51,520 --> 00:24:54,199
Speaker 6: when you give it coverage, all you care about is

433
00:24:54,200 --> 00:24:58,600
Speaker 6: your political agenda. If there's another inspired event because of

434
00:24:58,640 --> 00:25:01,080
Speaker 6: this event today, if there's another one in seven to

435
00:25:01,080 --> 00:25:04,160
Speaker 6: ten days, the likelihood that that event will be even

436
00:25:04,280 --> 00:25:07,719
Speaker 6: dead layer is almost a certainty. That's how likely it is.

437
00:25:07,760 --> 00:25:11,680
Speaker 6: And it's called the contagent event. The media is the contagion.

438
00:25:12,040 --> 00:25:16,160
Speaker 6: The politicians who are exploiting it are the contagions. So

439
00:25:16,240 --> 00:25:18,480
Speaker 6: like the Kamala Harris is, if there's a dead kid

440
00:25:18,520 --> 00:25:21,800
Speaker 6: next week, it's her fault, like because you're making these

441
00:25:21,840 --> 00:25:25,920
Speaker 6: people and you want the notoriety getting that they saw

442
00:25:25,960 --> 00:25:28,960
Speaker 6: someone else getting last week. So the copycat event, or

443
00:25:28,960 --> 00:25:31,840
Speaker 6: what used to be called the Columbine effect.

444
00:25:31,840 --> 00:25:32,760
Speaker 4: Is more deadly.

445
00:25:32,880 --> 00:25:36,520
Speaker 6: And Fed's local law enforcement academia has been telling these

446
00:25:36,520 --> 00:25:39,920
Speaker 6: pieces of that's for years and they just don't care.

447
00:25:40,280 --> 00:25:41,120
Speaker 4: They don't care.

448
00:25:41,440 --> 00:25:45,400
Speaker 6: But before on the mass shooting events, the most deadly

449
00:25:45,600 --> 00:25:48,000
Speaker 6: mass killing event that had to do with children was

450
00:25:48,040 --> 00:25:52,119
Speaker 6: actually a bomb in a school and there's nothing to

451
00:25:52,160 --> 00:25:54,920
Speaker 6: stop people from going back and doing that, and in

452
00:25:54,920 --> 00:25:57,720
Speaker 6: fact was in a state where they try to heavily

453
00:25:57,760 --> 00:26:00,880
Speaker 6: restrict firearm purchases and use. And I want to get

454
00:26:00,920 --> 00:26:03,600
Speaker 6: you know, we can go down that path and Rabbital

455
00:26:03,640 --> 00:26:06,679
Speaker 6: into a whole show on that. But unfortunately this is

456
00:26:06,680 --> 00:26:10,840
Speaker 6: one of those tragic issues where politicians don't care. They

457
00:26:10,840 --> 00:26:12,800
Speaker 6: don't care about the dead kids in Sandy Hook. Dude,

458
00:26:12,800 --> 00:26:14,840
Speaker 6: the only reason why they care is because they get

459
00:26:14,880 --> 00:26:18,080
Speaker 6: to exploit it. Andrew and Florida found this out real quick.

460
00:26:18,280 --> 00:26:20,359
Speaker 6: Oh yeah, get in front of the camera. You know,

461
00:26:20,680 --> 00:26:23,399
Speaker 6: we really want to we really want to elevate your

462
00:26:23,520 --> 00:26:26,320
Speaker 6: daughter and you know, make her, you know, to remember

463
00:26:26,400 --> 00:26:27,760
Speaker 6: her and honor her memory.

464
00:26:27,760 --> 00:26:30,440
Speaker 4: And he found out real quick it's just bullshit. All

465
00:26:30,440 --> 00:26:31,720
Speaker 4: they want to do is use you.

466
00:26:32,080 --> 00:26:34,159
Speaker 6: And it's sad because a lot of grieving parents they

467
00:26:34,160 --> 00:26:36,200
Speaker 6: don't know about the Second Amendment, they don't know anything

468
00:26:36,200 --> 00:26:38,480
Speaker 6: about what we're talking about right now. They're hurting that

469
00:26:38,600 --> 00:26:41,119
Speaker 6: want someone to blame, and the anra is to blame,

470
00:26:41,359 --> 00:26:45,320
Speaker 6: you know, and unfortunately that's easier than tackling the real

471
00:26:45,640 --> 00:26:49,040
Speaker 6: problems in this society, which is that we are suffering

472
00:26:49,080 --> 00:26:52,840
Speaker 6: from mass mental illness. And it is something that transpired

473
00:26:52,880 --> 00:26:55,000
Speaker 6: over the course of the half a century. You know,

474
00:26:55,119 --> 00:26:58,920
Speaker 6: our family units fell apart, our civil society fell apart,

475
00:26:59,200 --> 00:27:02,399
Speaker 6: and we are now suffering the consequences of that. Again,

476
00:27:02,840 --> 00:27:07,560
Speaker 6: the Second Amendment went through five, four or five generations

477
00:27:07,640 --> 00:27:10,640
Speaker 6: before ever became a problem. You know, I mean, get

478
00:27:10,640 --> 00:27:14,520
Speaker 6: out of here, man, come on, come on, we're the problem.

479
00:27:14,680 --> 00:27:16,600
Speaker 2: You know, it's a cultural issue.

480
00:27:16,760 --> 00:27:19,480
Speaker 1: It is, without a doubt, a complex cultural issue, and

481
00:27:19,520 --> 00:27:21,679
Speaker 1: you want you have to have the wherewithal to tackle

482
00:27:21,720 --> 00:27:25,720
Speaker 1: it instead of making these dishonest arguments where you're scapegoating

483
00:27:25,760 --> 00:27:29,399
Speaker 1: things that don't. It's not really it's not really the

484
00:27:29,480 --> 00:27:33,200
Speaker 1: root cause of the actual issue itself. I agree completely.

485
00:27:33,600 --> 00:27:34,840
Speaker 1: What do you make of the story out of the

486
00:27:34,880 --> 00:27:37,560
Speaker 1: New York Post and Josh Holly and the whistleblowers that

487
00:27:37,920 --> 00:27:41,360
Speaker 1: you know, this Trump assassination stuff, Rich It gets worse.

488
00:27:41,160 --> 00:27:41,879
Speaker 2: All the time.

489
00:27:42,280 --> 00:27:44,480
Speaker 1: Now we find out that almost all the people on

490
00:27:44,560 --> 00:27:48,760
Speaker 1: site with Trump that day and Butler were Homeland Security augmentees,

491
00:27:48,800 --> 00:27:52,440
Speaker 1: which we knew. But the only yet training they had

492
00:27:52,520 --> 00:27:56,160
Speaker 1: was an online webinar that wasn't even really functioning, and.

493
00:27:56,080 --> 00:27:56,880
Speaker 4: We could tell that.

494
00:27:56,960 --> 00:27:59,320
Speaker 6: We told people that that, Like, I think your first

495
00:27:59,320 --> 00:28:02,560
Speaker 6: show after this happened, you came on my show because you,

496
00:28:02,640 --> 00:28:04,960
Speaker 6: of course were there, and we discussed this.

497
00:28:05,480 --> 00:28:05,840
Speaker 4: Folks.

498
00:28:06,320 --> 00:28:09,800
Speaker 6: We knew by their their outfit, we knew by their peril,

499
00:28:09,840 --> 00:28:12,480
Speaker 6: we knew by their gear immediately that that was what

500
00:28:12,560 --> 00:28:14,880
Speaker 6: that was. And I'm telling you, I think the news

501
00:28:14,920 --> 00:28:16,840
Speaker 6: only gets worse from here. I think people need to

502
00:28:16,840 --> 00:28:21,400
Speaker 6: really prepare themselves to face the most ugly truth if

503
00:28:21,400 --> 00:28:24,719
Speaker 6: this ever comes out. However, that being said, the impaneling

504
00:28:24,760 --> 00:28:28,320
Speaker 6: of a grand jury will most certainly prohibit you know,

505
00:28:28,440 --> 00:28:33,200
Speaker 6: or at least grossly slow down any congressional investigation or

506
00:28:33,240 --> 00:28:35,159
Speaker 6: attempt to get to the truth, because now they'll just

507
00:28:35,200 --> 00:28:37,520
Speaker 6: sit down in front of the congressman as soon as

508
00:28:37,520 --> 00:28:40,200
Speaker 6: they answer the question. I'm sorry, Congressman or congresswoman.

509
00:28:40,400 --> 00:28:43,680
Speaker 4: I can't comment on that. That's part of an ongoing investigation, exactly.

510
00:28:44,480 --> 00:28:46,160
Speaker 4: I can't deal with that. I mean, we have to

511
00:28:46,280 --> 00:28:48,080
Speaker 4: tackle this, Sean.

512
00:28:48,240 --> 00:28:52,480
Speaker 6: This is like not a real and I hate the

513
00:28:52,520 --> 00:28:56,240
Speaker 6: word democracy, but this is not a real, self self

514
00:28:56,400 --> 00:29:02,240
Speaker 6: governing society if these very powerful alphabet and other agencies

515
00:29:02,280 --> 00:29:07,160
Speaker 6: of the state can simply use that, and we may

516
00:29:07,280 --> 00:29:10,080
Speaker 6: put sources and methods at risk if we answer that question.

517
00:29:10,320 --> 00:29:14,200
Speaker 6: Those two excuses are bull and they got to go.

518
00:29:14,560 --> 00:29:17,720
Speaker 6: You cannot just hide behind two excuses and then have

519
00:29:18,040 --> 00:29:18,760
Speaker 6: a free for all.

520
00:29:18,840 --> 00:29:22,120
Speaker 4: You're not the sovereign in this country or you're not supposed.

521
00:29:21,720 --> 00:29:24,040
Speaker 2: To be rich. I said yesterday on the Hurdle.

522
00:29:24,440 --> 00:29:27,560
Speaker 1: After the Reagan assassination attempt, we knew everything there was

523
00:29:27,600 --> 00:29:30,000
Speaker 1: to know about Hinckley two days after they at an

524
00:29:30,000 --> 00:29:32,920
Speaker 1: age where there was far less information at her fingertips.

525
00:29:33,120 --> 00:29:37,160
Speaker 1: So today we know nothing nothing about this except for

526
00:29:37,240 --> 00:29:40,440
Speaker 1: whistleblowers who are so fed up with the system they're saying,

527
00:29:40,440 --> 00:29:42,880
Speaker 1: Oh my god, these were homeland security agents with online

528
00:29:42,920 --> 00:29:45,840
Speaker 1: webinar training and protection. I mean, are you effing kidding me?

529
00:29:46,200 --> 00:29:48,800
Speaker 1: Can you imagine what our enemies think right now? Can

530
00:29:48,840 --> 00:29:52,160
Speaker 1: you imagine like the most powerful protective agency in the

531
00:29:52,160 --> 00:29:53,520
Speaker 1: world once was the United States.

532
00:29:53,520 --> 00:29:55,960
Speaker 4: I'll tell you what they think. I mean, Sean, let's

533
00:29:55,960 --> 00:29:57,680
Speaker 4: be honest. I'll tell you what they think.

534
00:29:58,080 --> 00:30:02,840
Speaker 6: The United States of America the biggest national bunch, I

535
00:30:02,840 --> 00:30:05,600
Speaker 6: would say, the biggest nation of hypocrites to ever live

536
00:30:05,640 --> 00:30:08,080
Speaker 6: on the planet. They tried to kill Donald Trump, and

537
00:30:08,120 --> 00:30:09,920
Speaker 6: they're going through this charade as if the rest of

538
00:30:09,960 --> 00:30:12,120
Speaker 6: the world doesn't know what happened. You don't think the

539
00:30:12,160 --> 00:30:15,280
Speaker 6: world leaders, You don't think everyone from She's regime to

540
00:30:15,360 --> 00:30:18,280
Speaker 6: Putin's regime knows they tried to kill Donald Trump. We're

541
00:30:18,320 --> 00:30:22,280
Speaker 6: the only idiots still sitting here going through this charade,

542
00:30:22,680 --> 00:30:25,880
Speaker 6: pretending like it wasn't the state. They found a mark,

543
00:30:26,280 --> 00:30:29,120
Speaker 6: and they pushed the mark to try to kill the guy,

544
00:30:29,200 --> 00:30:31,560
Speaker 6: and they turned their back and they left the window

545
00:30:31,640 --> 00:30:34,520
Speaker 6: open because they know they're gonna lose an election and

546
00:30:34,600 --> 00:30:37,320
Speaker 6: they can't do anything else. They tried prosecuting him. They

547
00:30:37,360 --> 00:30:40,320
Speaker 6: are trying to imprison him. Oh hell, let's just try

548
00:30:40,360 --> 00:30:43,480
Speaker 6: to kill him. This wouldn't be the first time, folks,

549
00:30:43,840 --> 00:30:46,000
Speaker 6: It wouldn't even be the second time. It would just

550
00:30:46,000 --> 00:30:48,880
Speaker 6: be the first president, I mean, well, the second president,

551
00:30:48,920 --> 00:30:54,000
Speaker 6: but first former president. And then he's countless other figures.

552
00:30:54,120 --> 00:30:56,120
Speaker 6: And I got news for you, it won't be the last.

553
00:30:56,480 --> 00:30:57,640
Speaker 4: Because of what I just said.

554
00:30:57,880 --> 00:31:01,280
Speaker 6: They can hide behind to bullshit answer and nobody will

555
00:31:01,320 --> 00:31:02,840
Speaker 6: ever get punished for it.

556
00:31:03,040 --> 00:31:03,600
Speaker 4: Nobody.

557
00:31:03,840 --> 00:31:06,480
Speaker 6: Trump was going to release the JFK stuff. Mike Pompeo

558
00:31:06,960 --> 00:31:09,360
Speaker 6: ran some crap in his ear and convinced him not

559
00:31:09,480 --> 00:31:12,400
Speaker 6: to do it. If Trump gets in again, thank god,

560
00:31:12,400 --> 00:31:14,320
Speaker 6: there won't be a Mike Pompeo to tell him no,

561
00:31:14,360 --> 00:31:17,600
Speaker 6: and he's gonna do it. But I think again, people

562
00:31:17,640 --> 00:31:21,240
Speaker 6: need to realize that crap is for you. That's a

563
00:31:21,280 --> 00:31:25,680
Speaker 6: show for you. The Vladimir Putins, the Kim Jongs, the

564
00:31:26,440 --> 00:31:29,320
Speaker 6: you know, Shijing Pings, they all know. The only one

565
00:31:29,320 --> 00:31:30,440
Speaker 6: who doesn't know is you.

566
00:31:31,920 --> 00:31:32,200
Speaker 2: God.

567
00:31:32,280 --> 00:31:34,120
Speaker 1: Okay, stay right there, Rich, let me do an ad

568
00:31:34,120 --> 00:31:36,400
Speaker 1: read and we'll be right back. We'll talk politics and

569
00:31:37,760 --> 00:31:40,640
Speaker 1: full spectrum breakdown of the twenty twenty four race. Talk

570
00:31:40,680 --> 00:31:43,000
Speaker 1: about your new poll when we come back, Okay, good brother,

571
00:31:43,120 --> 00:31:46,080
Speaker 1: stay right there, my friend. Okay, let's bring Savage Rich

572
00:31:46,120 --> 00:31:48,760
Speaker 1: Bears back. Savage Rich, welcome back to the show. So

573
00:31:48,840 --> 00:31:53,280
Speaker 1: let me set up the conversation like this. Got reports

574
00:31:53,320 --> 00:31:59,000
Speaker 1: now that the Harris campaign is giving approximately twenty five

575
00:31:59,040 --> 00:32:04,320
Speaker 1: million towards down ballot races. Now, Kamala Harris is campaigning

576
00:32:04,920 --> 00:32:09,560
Speaker 1: right in New Hampshire, She's in Virginia, she's in Minnesota.

577
00:32:11,000 --> 00:32:12,840
Speaker 1: So you couple those two things. You want to get

578
00:32:12,840 --> 00:32:15,880
Speaker 1: a sense on how a campaign is doing. Look at

579
00:32:15,880 --> 00:32:19,120
Speaker 1: where they're going and how they're spending their money.

580
00:32:19,800 --> 00:32:20,240
Speaker 2: Two things.

581
00:32:20,280 --> 00:32:25,240
Speaker 1: She's campaigning and what are traditionally safe Democrat states and

582
00:32:25,320 --> 00:32:27,200
Speaker 1: giving money to down ballot races.

583
00:32:27,600 --> 00:32:29,640
Speaker 2: To me, it's a cover.

584
00:32:30,080 --> 00:32:30,840
Speaker 4: I'm sorry, I had.

585
00:32:31,720 --> 00:32:35,840
Speaker 1: I'm just saying she's clearly to me that that's not

586
00:32:35,880 --> 00:32:36,720
Speaker 1: a winning campaign.

587
00:32:37,520 --> 00:32:42,280
Speaker 6: Folks, when a presidential campaign is losing, okay, or they're

588
00:32:42,320 --> 00:32:46,720
Speaker 6: worried about what should be safe space save states, right,

589
00:32:46,720 --> 00:32:50,480
Speaker 6: they will pretend that they are helping down ballid races.

590
00:32:50,600 --> 00:32:52,320
Speaker 4: Though you'll even twenty five million.

591
00:32:52,360 --> 00:32:55,280
Speaker 6: As you know, Sean has Trump changed to a presidential campaign,

592
00:32:55,720 --> 00:32:58,719
Speaker 6: They will give a token amount of money to make

593
00:32:58,760 --> 00:33:01,240
Speaker 6: it look like the effort is re when in fact

594
00:33:01,720 --> 00:33:05,800
Speaker 6: it's not. It is to boost themselves. She has one

595
00:33:06,200 --> 00:33:09,200
Speaker 6: path to the presidency, let's get real, and that path

596
00:33:09,360 --> 00:33:11,959
Speaker 6: is to pluck off one or more of the northern

597
00:33:12,000 --> 00:33:15,760
Speaker 6: Midwest states. She is down in Pennsylvania and by the way,

598
00:33:16,520 --> 00:33:20,120
Speaker 6: most of the internals, but now even publics, even the

599
00:33:20,200 --> 00:33:24,200
Speaker 6: two native Michigan polsters. So take the CNN poll and

600
00:33:24,280 --> 00:33:27,080
Speaker 6: stick it, all right, it's a very obvious. I mean,

601
00:33:27,160 --> 00:33:29,520
Speaker 6: I don't even want to be too hard on them

602
00:33:29,520 --> 00:33:31,240
Speaker 6: because I know what I'm seeing in the field.

603
00:33:31,840 --> 00:33:34,120
Speaker 4: So they have Pennsylvania very clearly.

604
00:33:34,200 --> 00:33:36,200
Speaker 6: I mean, they just didn't want to lean into Trump,

605
00:33:36,200 --> 00:33:38,880
Speaker 6: but very clearly it looks good for Trump. And they

606
00:33:39,000 --> 00:33:44,080
Speaker 6: they have Wisconsin and Michigan, with Wisconsin more Harris than Michigan.

607
00:33:44,560 --> 00:33:47,320
Speaker 4: And that is a telltale. That is textbook. I screwed

608
00:33:47,400 --> 00:33:49,440
Speaker 4: up the Midwest because it never votes like that.

609
00:33:49,520 --> 00:33:53,280
Speaker 6: All right, that's a polling mistake headed your way, and

610
00:33:53,320 --> 00:33:56,640
Speaker 6: it's not their fault. It's hard, all right, in all seriousness, folks,

611
00:33:57,000 --> 00:34:01,200
Speaker 6: These Midwestern states and Florida, they're differenticult. There's a lot

612
00:34:01,200 --> 00:34:03,200
Speaker 6: of you know, weird things that go into it. But

613
00:34:03,240 --> 00:34:06,640
Speaker 6: the bottom line is the internal polls are not great

614
00:34:06,680 --> 00:34:09,800
Speaker 6: for her. That's the truth in the two native Michigan polsters,

615
00:34:09,840 --> 00:34:13,600
Speaker 6: Glen Garreff Group and Epic MRA, who are the go

616
00:34:13,640 --> 00:34:17,040
Speaker 6: to media state polsters, and all of us have our

617
00:34:17,080 --> 00:34:19,880
Speaker 6: own native states that we pull in, know right, Mine

618
00:34:20,120 --> 00:34:23,520
Speaker 6: is Florida and North Carolina. Now right, I've always done

619
00:34:23,640 --> 00:34:25,640
Speaker 6: very good job in North Carolina. I know the state

620
00:34:25,719 --> 00:34:29,360
Speaker 6: Florida for fifteen years was my native polling state. Glen

621
00:34:29,360 --> 00:34:33,960
Speaker 6: Garreff Group, it's Michigan, Epic MRA, Mitchell Research, It's Michigan.

622
00:34:34,160 --> 00:34:36,680
Speaker 6: These are the people everyone really looks at when a

623
00:34:36,680 --> 00:34:37,800
Speaker 6: public poll comes out.

624
00:34:38,080 --> 00:34:43,560
Speaker 4: The native posters in Michigan have Trump up. So this

625
00:34:43,680 --> 00:34:45,320
Speaker 4: is her last chance.

626
00:34:45,600 --> 00:34:49,359
Speaker 6: She can pluck off Michigan, maybe try to get Pennsylvania,

627
00:34:49,400 --> 00:34:51,960
Speaker 6: but she's got to run the table, and she cannot

628
00:34:52,000 --> 00:34:56,160
Speaker 6: lose New Hampshire or Minnesota or Virginia right, which is

629
00:34:56,160 --> 00:34:58,640
Speaker 6: within three points by the way, the old dominion should

630
00:34:58,680 --> 00:34:59,880
Speaker 6: not be within three points.

631
00:35:00,239 --> 00:35:02,520
Speaker 4: She cannot lose those states.

632
00:35:02,800 --> 00:35:06,040
Speaker 6: So she is making this cover story about helping down

633
00:35:06,080 --> 00:35:09,279
Speaker 6: ballid races. They'll even spin it and say, oh, we

634
00:35:09,320 --> 00:35:11,480
Speaker 6: think we're gonna take the House over it or the Senator.

635
00:35:12,200 --> 00:35:15,879
Speaker 6: It's bs she's covering because she needs to shore up

636
00:35:16,000 --> 00:35:20,960
Speaker 6: the state. Her own VP is from when she first

637
00:35:20,960 --> 00:35:23,080
Speaker 6: did the switcheroo with Biden. She had a ten point

638
00:35:23,160 --> 00:35:26,400
Speaker 6: lead in the KTSU Paul all right, now it's five.

639
00:35:26,760 --> 00:35:30,440
Speaker 4: She lost half her lead in a month. So in

640
00:35:30,480 --> 00:35:32,240
Speaker 4: a blue state, in a blue state.

641
00:35:32,600 --> 00:35:35,160
Speaker 1: So I mean, there's all this talk or at least

642
00:35:35,160 --> 00:35:38,359
Speaker 1: these Democrat operators are you know, she's gonna pick up

643
00:35:38,400 --> 00:35:43,360
Speaker 1: states in the sun belt right like they thought Nevada, Arizona, Georgia.

644
00:35:43,480 --> 00:35:45,640
Speaker 1: And we got a question here from SPA and the

645
00:35:45,719 --> 00:35:49,680
Speaker 1: chat on the screen Carrie Lake, Reuben Gallego. People are

646
00:35:49,719 --> 00:35:53,439
Speaker 1: saying Carrie Lake is down and that she's the now

647
00:35:53,520 --> 00:35:56,680
Speaker 1: she's a terrible candidate. Apparently she said something about a

648
00:35:56,680 --> 00:35:59,320
Speaker 1: couple of sheriffs out there, called one of the sheriffs

649
00:35:59,320 --> 00:36:02,719
Speaker 1: the coward. So theriff's association endorsed against her, so they

650
00:36:02,760 --> 00:36:07,000
Speaker 1: endorse Trump and then Gallego Mark, Yeah, well, I don't

651
00:36:07,040 --> 00:36:07,840
Speaker 1: I don't know.

652
00:36:07,880 --> 00:36:10,560
Speaker 6: You should know better, Mark, Honestly, you're a good guy,

653
00:36:10,880 --> 00:36:13,680
Speaker 6: but uh, you know that you should know better, and

654
00:36:13,760 --> 00:36:15,719
Speaker 6: for you to do that, I'm actually really if that's

655
00:36:15,719 --> 00:36:16,319
Speaker 6: who it is.

656
00:36:16,400 --> 00:36:17,840
Speaker 1: I don't know that I I just know that a

657
00:36:17,920 --> 00:36:20,040
Speaker 1: sheriff associated. I don't know if it has anything to

658
00:36:20,040 --> 00:36:20,480
Speaker 1: do with him.

659
00:36:20,560 --> 00:36:23,160
Speaker 4: He does have poll there, so he does have poll

660
00:36:23,239 --> 00:36:23,440
Speaker 4: with that.

661
00:36:23,600 --> 00:36:25,239
Speaker 6: So if that turns out to be the case, I'd

662
00:36:25,239 --> 00:36:28,080
Speaker 6: be very disappointed in Mark only.

663
00:36:27,840 --> 00:36:29,759
Speaker 4: Because you know, I mean, the.

664
00:36:31,480 --> 00:36:33,719
Speaker 6: Man we're in the grindstone now, yeah, I mean, you

665
00:36:33,719 --> 00:36:36,520
Speaker 6: don't play around with you know, your own feelings when

666
00:36:36,520 --> 00:36:37,760
Speaker 6: the country is on the line.

667
00:36:38,160 --> 00:36:40,719
Speaker 2: Mark, Mark endorsed Kerry I mean, he endorsed it.

668
00:36:40,840 --> 00:36:43,000
Speaker 4: That's why I'd be like, so, where did this come

669
00:36:43,040 --> 00:36:43,600
Speaker 4: from then.

670
00:36:43,840 --> 00:36:46,800
Speaker 1: A sheriff's association, I don't know. I mean they endorsed Trump.

671
00:36:47,080 --> 00:36:50,239
Speaker 1: They endorsed Trump, and then they endorsed Gallego.

672
00:36:50,840 --> 00:36:54,520
Speaker 6: I haven't pulled it. I haven't pulled it myself yet Arizona.

673
00:36:55,280 --> 00:36:57,960
Speaker 6: But I will tell you this, everywhere we're pulling and

674
00:36:58,000 --> 00:37:00,560
Speaker 6: it's not Kerry Lake. It's not because Harry Lake is

675
00:37:00,600 --> 00:37:04,720
Speaker 6: a uniquely bad candidate. That's actually totally ridiculous. She's actually

676
00:37:05,080 --> 00:37:07,520
Speaker 6: one of the sharpest candidates on the campaign trails. She's

677
00:37:07,680 --> 00:37:11,560
Speaker 6: very smooth with the media. They're just unbelievably dishonest in

678
00:37:11,600 --> 00:37:13,759
Speaker 6: how they cover like they are with every other Republican

679
00:37:14,080 --> 00:37:16,480
Speaker 6: but it's not something that's unique to carry Lake.

680
00:37:16,960 --> 00:37:18,440
Speaker 4: All of these candidates are.

681
00:37:18,440 --> 00:37:21,319
Speaker 6: Running behind Donald Trump in our generic ballad, which is

682
00:37:21,320 --> 00:37:24,719
Speaker 6: coming out very soon, and we're leaning people, which you know,

683
00:37:24,760 --> 00:37:27,759
Speaker 6: if I didn't, we didn't lean the undecideds, I may

684
00:37:27,800 --> 00:37:30,880
Speaker 6: think something. I'm glad we did, because I would not

685
00:37:31,000 --> 00:37:34,680
Speaker 6: have wanted to not have the information I now had.

686
00:37:34,719 --> 00:37:37,120
Speaker 6: Trump is winning the leaners against Kamala Harris, which is

687
00:37:37,120 --> 00:37:39,000
Speaker 6: the reverse of the way it was under Biden. He

688
00:37:39,080 --> 00:37:41,600
Speaker 6: had a big lead, but he was losing the leaners.

689
00:37:41,600 --> 00:37:43,120
Speaker 6: So Biden it would kind of close the gap, but

690
00:37:43,160 --> 00:37:46,160
Speaker 6: it was not enough. With Harris. Harris looks like she's

691
00:37:46,160 --> 00:37:48,040
Speaker 6: got a little bit of an edge. But then when

692
00:37:48,040 --> 00:37:51,560
Speaker 6: you lean people, they're even basically, and it's nationally of course,

693
00:37:52,280 --> 00:37:56,400
Speaker 6: Republicans are down there, and when you lean, Democrats are

694
00:37:56,400 --> 00:37:59,640
Speaker 6: winning the leaners. All right, So this is a problem.

695
00:37:59,760 --> 00:38:03,319
Speaker 6: This is not Kerry Lake's fault. It's not because you know,

696
00:38:03,520 --> 00:38:06,000
Speaker 6: I know the McCain team. McCain still wants to do

697
00:38:06,040 --> 00:38:10,959
Speaker 6: this crap. I mean, they're just worse than unhelpful. They're saboteurs,

698
00:38:11,320 --> 00:38:14,080
Speaker 6: and honestly, I can't wait for them all to be

699
00:38:14,120 --> 00:38:14,719
Speaker 6: phased out.

700
00:38:14,840 --> 00:38:15,920
Speaker 4: I really, I just I.

701
00:38:15,880 --> 00:38:19,000
Speaker 6: Can't because they're not helping our politics, like get back

702
00:38:19,040 --> 00:38:21,520
Speaker 6: to normal and get back to the what I used

703
00:38:21,560 --> 00:38:23,920
Speaker 6: to love about this. They're the worst kind of actors.

704
00:38:24,840 --> 00:38:28,040
Speaker 6: But it's not you know Brown, Sam is down badly

705
00:38:28,440 --> 00:38:29,000
Speaker 6: in Nevada.

706
00:38:29,080 --> 00:38:31,160
Speaker 2: Brown because he really yeah, he's down.

707
00:38:31,120 --> 00:38:33,560
Speaker 4: Like eight points, dude, that is something I know about.

708
00:38:33,680 --> 00:38:36,400
Speaker 6: Yeah, I mean, that's not And meanwhile Trump is ahead

709
00:38:36,680 --> 00:38:39,359
Speaker 6: by like three it's not a huge lead Nevada. But

710
00:38:39,760 --> 00:38:41,880
Speaker 6: I know everyone pulls the state differently. We pull it

711
00:38:41,920 --> 00:38:43,799
Speaker 6: fairly well. I can see what's going on.

712
00:38:44,920 --> 00:38:47,120
Speaker 2: I thought people were feeling good about Sam Brown.

713
00:38:46,920 --> 00:38:49,839
Speaker 6: And I'm telling you Democrats are running some really dirty shit.

714
00:38:50,000 --> 00:38:51,880
Speaker 6: And when I would like to be able to like

715
00:38:51,920 --> 00:38:54,160
Speaker 6: share some of this, it's not mine to share. I'm

716
00:38:54,200 --> 00:38:58,040
Speaker 6: just doing the work the things they're doing, and it's working,

717
00:38:58,120 --> 00:39:00,880
Speaker 6: which is really sad. Like if we're Republicans did the

718
00:39:00,960 --> 00:39:03,880
Speaker 6: kind of stuff that they're doing, you would get it,

719
00:39:03,880 --> 00:39:06,239
Speaker 6: would get called out. But I can tell you right

720
00:39:06,280 --> 00:39:08,919
Speaker 6: now it's Clark County. Sam is not running a strong

721
00:39:08,960 --> 00:39:11,640
Speaker 6: as Donald Trump in Clark County in washow It's not

722
00:39:11,719 --> 00:39:14,880
Speaker 6: really that different, you know, Although Trump is doing a

723
00:39:14,920 --> 00:39:15,560
Speaker 6: little bit better.

724
00:39:15,560 --> 00:39:16,440
Speaker 4: But it's Clark.

725
00:39:16,719 --> 00:39:19,880
Speaker 6: I mean, when you're running five six points behind the

726
00:39:19,920 --> 00:39:23,040
Speaker 6: presidential candidate, maybe even a little more on a given

727
00:39:23,120 --> 00:39:26,280
Speaker 6: day in Clark County, it's seventy percent of the vote,

728
00:39:26,440 --> 00:39:28,480
Speaker 6: it's just there's nowhere else to make that up in

729
00:39:28,480 --> 00:39:31,759
Speaker 6: that state. So he's not doing enough to reach out

730
00:39:31,800 --> 00:39:33,960
Speaker 6: to these working class Hispanics that are going to vote

731
00:39:33,960 --> 00:39:37,880
Speaker 6: for Trump. He's just not And you know it, it's tragic.

732
00:39:38,000 --> 00:39:42,759
Speaker 6: But you know, the people don't always vote on how

733
00:39:42,760 --> 00:39:45,840
Speaker 6: can I put this? People don't always vote the way

734
00:39:47,040 --> 00:39:48,799
Speaker 6: the way you would expect them for the reasons that

735
00:39:48,840 --> 00:39:49,440
Speaker 6: you would expect.

736
00:39:49,560 --> 00:39:53,600
Speaker 4: Let me just say that. But again, it's not all

737
00:39:53,640 --> 00:39:54,200
Speaker 4: on Sam.

738
00:39:54,360 --> 00:39:58,239
Speaker 6: Like everyone's pretty much running behind Trump everywhere. It's like

739
00:39:58,480 --> 00:40:02,000
Speaker 6: very rare do we see candidate that's running ahead. You know,

740
00:40:02,160 --> 00:40:04,919
Speaker 6: if if Susan Collins was up for re election, I would

741
00:40:04,920 --> 00:40:07,400
Speaker 6: say maybe she'd be running, you know, ahead of Trump

742
00:40:07,400 --> 00:40:07,960
Speaker 6: in Maine.

743
00:40:08,680 --> 00:40:10,640
Speaker 4: But that's it, man, I mean, this is this has

744
00:40:10,640 --> 00:40:11,200
Speaker 4: been going.

745
00:40:11,040 --> 00:40:13,000
Speaker 6: On for months and months and months and months, and

746
00:40:13,120 --> 00:40:15,360
Speaker 6: Republicans just are not doing what they need to do

747
00:40:15,440 --> 00:40:17,319
Speaker 6: to correct it. And I want I kind of, you know,

748
00:40:17,360 --> 00:40:19,320
Speaker 6: did a thing about this on the show earlier. Today,

749
00:40:19,600 --> 00:40:22,040
Speaker 6: they're going to have to decide what's more important to them,

750
00:40:22,320 --> 00:40:26,360
Speaker 6: you know, being being you know the K Street and

751
00:40:26,400 --> 00:40:30,279
Speaker 6: Wall Street go to people and you know people get

752
00:40:30,440 --> 00:40:33,439
Speaker 6: that are resisting this, this change to trump Ism.

753
00:40:33,840 --> 00:40:37,479
Speaker 4: You can't continue this forever. Voters are over this song

754
00:40:37,520 --> 00:40:38,040
Speaker 4: and dance.

755
00:40:38,320 --> 00:40:41,480
Speaker 6: You want, you want the benefit of Trump, but you

756
00:40:41,520 --> 00:40:43,680
Speaker 6: want to stab them in the back every chance you get.

757
00:40:43,920 --> 00:40:46,560
Speaker 6: You want, you want the benefit of the bass, but

758
00:40:46,640 --> 00:40:48,799
Speaker 6: you screw them every chance you get.

759
00:40:48,880 --> 00:40:50,319
Speaker 4: You cannot continue this.

760
00:40:50,960 --> 00:40:53,080
Speaker 6: Voters, truth be told, have kind of been over this

761
00:40:53,200 --> 00:40:55,960
Speaker 6: since they screwed them on Obamacare, and they've been like

762
00:40:56,040 --> 00:40:57,920
Speaker 6: kind of a we really.

763
00:40:57,640 --> 00:40:58,800
Speaker 4: Have no other choice.

764
00:40:59,040 --> 00:41:01,680
Speaker 6: I'm voting for Trump, vote for the Republican down ballad.

765
00:41:01,760 --> 00:41:04,759
Speaker 6: And the worst part about it is very misleading. Trump

766
00:41:04,840 --> 00:41:07,919
Speaker 6: always gives to the Republican coalition more than it ever

767
00:41:08,040 --> 00:41:09,440
Speaker 6: gave to Trump.

768
00:41:09,400 --> 00:41:10,600
Speaker 4: So it looks misleading.

769
00:41:10,800 --> 00:41:13,920
Speaker 6: I think in some areas the candidate, the Republican candidate's

770
00:41:13,960 --> 00:41:15,920
Speaker 6: doing better than Trump in sixteen and twenty.

771
00:41:16,560 --> 00:41:17,600
Speaker 4: And it wasn't really case.

772
00:41:17,800 --> 00:41:21,320
Speaker 6: Kelly Ayott, all right, Mark Kirk, everybody ran behind it.

773
00:41:21,560 --> 00:41:26,000
Speaker 6: He drugged Pat Toomi over you know, Gary what's his name?

774
00:41:27,000 --> 00:41:30,840
Speaker 6: Johnson Wisconsin. Was very smart and he learned though, but

775
00:41:31,000 --> 00:41:35,160
Speaker 6: he's not representatives. So even when we ask people in

776
00:41:35,200 --> 00:41:38,000
Speaker 6: the Midwest about their impression of, you know, of the

777
00:41:38,040 --> 00:41:41,480
Speaker 6: Republican Party, brother, they're not thinking Ron Johnson, you know,

778
00:41:41,560 --> 00:41:44,759
Speaker 6: they're thinking Paul Ryant, Mitt Romney. Kind of Republican. That's

779
00:41:44,800 --> 00:41:47,239
Speaker 6: gotta stop. Mitch McConnell should have been gone a long

780
00:41:47,280 --> 00:41:50,719
Speaker 6: time ago. He is doing so much damage. He really is,

781
00:41:51,000 --> 00:41:54,359
Speaker 6: because he's one of the few people in DC that

782
00:41:54,520 --> 00:41:58,799
Speaker 6: like every voter, even lower propensity voters, kind of know

783
00:41:58,920 --> 00:42:01,880
Speaker 6: and can identify, like Nancy Pelosi was a cancer to

784
00:42:01,960 --> 00:42:03,240
Speaker 6: Democrats for years.

785
00:42:03,960 --> 00:42:06,319
Speaker 4: Mitch McConnell for the for the sake of.

786
00:42:06,239 --> 00:42:09,840
Speaker 6: His party, which you if you obviously think your party's

787
00:42:09,880 --> 00:42:12,680
Speaker 6: the best direction for the country, then you think that

788
00:42:12,800 --> 00:42:14,160
Speaker 6: obviously it would be the.

789
00:42:14,120 --> 00:42:15,280
Speaker 4: Best thing for the country.

790
00:42:15,400 --> 00:42:18,319
Speaker 6: He's putting himself and he's putting his benefactors, and he's

791
00:42:18,320 --> 00:42:20,799
Speaker 6: putting his wife's friends in China, and he's putting all

792
00:42:20,800 --> 00:42:25,040
Speaker 6: of his benefactors from China ahead of the American public.

793
00:42:25,360 --> 00:42:28,720
Speaker 4: And he is very hated, very hated.

794
00:42:28,800 --> 00:42:32,520
Speaker 6: He cannot he is continuing this image and of Republicans

795
00:42:32,520 --> 00:42:35,440
Speaker 6: of the Party of rich white old men, and he

796
00:42:35,640 --> 00:42:38,400
Speaker 6: has got to go no matter how many Toulsi Gabbards

797
00:42:38,560 --> 00:42:41,359
Speaker 6: in Doris Donald Trump, which of course that's different. Like

798
00:42:41,400 --> 00:42:46,520
Speaker 6: so voters see Trump totally different. Like they really are

799
00:42:46,800 --> 00:42:49,000
Speaker 6: smart enough to understand that Trump is just using the

800
00:42:49,000 --> 00:42:51,160
Speaker 6: Republican Party as a vehicle because he can't run as

801
00:42:51,200 --> 00:42:51,680
Speaker 6: a third.

802
00:42:51,520 --> 00:42:53,279
Speaker 4: Party, you know what I'm saying.

803
00:42:53,320 --> 00:42:56,560
Speaker 6: Like they really do get that, and they've got it

804
00:42:56,600 --> 00:42:59,640
Speaker 6: for a while, and they've been patient and patient and

805
00:42:59,680 --> 00:43:02,359
Speaker 6: patient with the Republican Party and now that just had it.

806
00:43:02,520 --> 00:43:04,640
Speaker 6: And that's what's going on here, man, I'm telling you,

807
00:43:04,880 --> 00:43:06,960
Speaker 6: and we need to make a long time like when

808
00:43:07,000 --> 00:43:08,839
Speaker 6: would you expect it to change? Come?

809
00:43:09,040 --> 00:43:11,839
Speaker 1: So jump to Pennsylvania with me, talk about let's talk

810
00:43:11,880 --> 00:43:13,799
Speaker 1: about the Senate race there. I want to also talk

811
00:43:13,840 --> 00:43:16,080
Speaker 1: about your your the new poll that you did between

812
00:43:16,200 --> 00:43:20,880
Speaker 1: Trump and Kamala nationwide, but in Pennsylvania, like three or

813
00:43:20,880 --> 00:43:23,400
Speaker 1: four Poles have seen a couple of you know, Republican

814
00:43:23,440 --> 00:43:26,759
Speaker 1: internal polls now with Casey McCormick very one point race

815
00:43:26,920 --> 00:43:30,800
Speaker 1: forty six, forty five, forty sixty six, forty seven, forty seven.

816
00:43:31,080 --> 00:43:37,879
Speaker 1: I'll tell you, McCormick, you know, he's the best Republican fundraiser.

817
00:43:37,920 --> 00:43:40,000
Speaker 1: I think he's raised more money than just about any

818
00:43:40,040 --> 00:43:42,560
Speaker 1: other Republican running this cycle. And I can't even tell

819
00:43:42,560 --> 00:43:44,360
Speaker 1: you in how many cycles, to be honest, man, he

820
00:43:44,440 --> 00:43:47,040
Speaker 1: is raised and that's what it takes in a state

821
00:43:47,080 --> 00:43:50,200
Speaker 1: like Pennsylvania. He's raised just it's just an an enormous

822
00:43:50,200 --> 00:43:54,480
Speaker 1: sum of money. And he's running a good race. He's

823
00:43:54,640 --> 00:43:57,120
Speaker 1: he's working his ass off. Now he's neck and neck

824
00:43:57,160 --> 00:44:00,279
Speaker 1: with Casey. Nobody's been neck and neck with Casey like

825
00:44:00,320 --> 00:44:04,799
Speaker 1: this ever, I mean going, I mean ever ever. And

826
00:44:04,840 --> 00:44:06,400
Speaker 1: now you've got Trump at the top of the ticket.

827
00:44:06,440 --> 00:44:08,719
Speaker 1: And I've been arguing this for a long time that

828
00:44:08,840 --> 00:44:12,080
Speaker 1: obviously Trump and McCormick are very very different people. You

829
00:44:12,080 --> 00:44:14,760
Speaker 1: know who else are very different people. Trump and Pat Toomey,

830
00:44:15,000 --> 00:44:18,320
Speaker 1: I mean Pat Toomey voter do convict Donald Trump in

831
00:44:18,360 --> 00:44:22,680
Speaker 1: an impeachment. So they won, They won in sixteen, and

832
00:44:22,760 --> 00:44:25,960
Speaker 1: I think that McCormick and Trump can win in twenty

833
00:44:25,960 --> 00:44:29,160
Speaker 1: twenty four because there's that same energy and synergy on

834
00:44:29,200 --> 00:44:29,640
Speaker 1: the ticket.

835
00:44:29,680 --> 00:44:32,239
Speaker 6: What do you think, well, this is working in this

836
00:44:32,320 --> 00:44:34,400
Speaker 6: one thing that I'm about to say is going to

837
00:44:34,480 --> 00:44:37,320
Speaker 6: work in favor or at least everything that we know about,

838
00:44:37,800 --> 00:44:41,920
Speaker 6: you know, these elections in modern America, in the recent memory,

839
00:44:41,920 --> 00:44:44,480
Speaker 6: in the last two decades. This is going to work toward,

840
00:44:44,719 --> 00:44:46,839
Speaker 6: you know, to the benefit of Republicans. And that is

841
00:44:47,360 --> 00:44:51,280
Speaker 6: I just mentioned one, Susan Collins. She is the only

842
00:44:51,400 --> 00:44:55,840
Speaker 6: example in modern memory post recession and post Obama. Obama

843
00:44:55,960 --> 00:45:00,279
Speaker 6: really started this.

844
00:44:59,320 --> 00:45:03,520
Speaker 4: Very polar environment. There is no other example.

845
00:45:03,640 --> 00:45:07,799
Speaker 6: Of a ticket split during a presidential cycle for US

846
00:45:07,840 --> 00:45:08,680
Speaker 6: Senate and president.

847
00:45:08,800 --> 00:45:10,279
Speaker 4: So what do I mean by that?

848
00:45:10,680 --> 00:45:14,280
Speaker 6: You know, if they voted for Donald Trump in Arizona

849
00:45:14,320 --> 00:45:16,200
Speaker 6: in twenty sixteen, they voted for Jeff Flake.

850
00:45:16,400 --> 00:45:18,359
Speaker 4: It might have been close, but they voted for Jeff

851
00:45:18,360 --> 00:45:19,600
Speaker 4: Flake in sixteen.

852
00:45:19,640 --> 00:45:22,759
Speaker 6: In Pennsylvania they voted for Trump, they voted for Patatoomi,

853
00:45:22,880 --> 00:45:25,960
Speaker 6: Ron Johnson, and Wisconsin down the line. Yeah, you know,

854
00:45:26,160 --> 00:45:29,759
Speaker 6: there has been no only Susan Collins has won a

855
00:45:29,920 --> 00:45:34,959
Speaker 6: race for Senate, a federal senatorial race while the other

856
00:45:35,120 --> 00:45:39,279
Speaker 6: party's candidate for president carried the state. You will not

857
00:45:39,400 --> 00:45:42,239
Speaker 6: find another example in the modern era. And I'm going

858
00:45:42,280 --> 00:45:45,879
Speaker 6: back to like the Obama era. And actually and Harry

859
00:45:45,920 --> 00:45:48,160
Speaker 6: Anton had gone over this as well on CNN.

860
00:45:48,480 --> 00:45:50,480
Speaker 4: It's really you could argue.

861
00:45:50,200 --> 00:45:52,759
Speaker 6: It started with like the second half of the nine

862
00:45:52,760 --> 00:45:56,359
Speaker 6: to eleven era, but Obama won states that Republicans won.

863
00:45:56,520 --> 00:45:59,319
Speaker 6: So you know, that's really like Obama was the hope

864
00:45:59,320 --> 00:46:00,120
Speaker 6: and change guy.

865
00:46:00,120 --> 00:46:03,960
Speaker 4: There was still ticket splitting, and then he killed it all.

866
00:46:04,160 --> 00:46:06,760
Speaker 6: I mean, he just turned out to be the worst

867
00:46:06,760 --> 00:46:10,600
Speaker 6: divider I think. And yeah, so if there's something that

868
00:46:10,640 --> 00:46:13,799
Speaker 6: I will say, and we'll talk about this later, but

869
00:46:13,960 --> 00:46:19,080
Speaker 6: like McCormick needs something, just a little something to push

870
00:46:19,160 --> 00:46:19,520
Speaker 6: him over.

871
00:46:19,640 --> 00:46:22,440
Speaker 4: But there's no doubt and you know this, you know.

872
00:46:22,440 --> 00:46:24,839
Speaker 6: Six months ago, maybe at this point when I first

873
00:46:24,880 --> 00:46:29,040
Speaker 6: pulled that race, McCormick was down badly and a lot

874
00:46:29,040 --> 00:46:32,080
Speaker 6: of that had to do with name recognition and a

875
00:46:32,120 --> 00:46:34,120
Speaker 6: lot of that he just didn't know him outside of

876
00:46:34,120 --> 00:46:36,800
Speaker 6: the from being the guy who ran in the Republican primary.

877
00:46:37,120 --> 00:46:38,880
Speaker 6: And there were a lot of Republicans who said they

878
00:46:38,880 --> 00:46:41,080
Speaker 6: were going to vote for Bob Casey. And you know this,

879
00:46:41,160 --> 00:46:45,160
Speaker 6: I have to tell you this, that is starting to tight.

880
00:46:45,320 --> 00:46:48,400
Speaker 6: It's actually getting very tight now, and it's starting to

881
00:46:48,400 --> 00:46:50,239
Speaker 6: behave the way that I would have expected it to

882
00:46:50,280 --> 00:46:53,640
Speaker 6: behave because again, you will not find all these examples

883
00:46:54,040 --> 00:46:56,800
Speaker 6: of you know this, this state voted for Joe Biden,

884
00:46:56,840 --> 00:46:58,880
Speaker 6: but voted for the Republican for Senate. You're just not

885
00:46:58,880 --> 00:46:59,520
Speaker 6: going to get that.

886
00:47:00,280 --> 00:47:00,640
Speaker 2: All right.

887
00:47:00,800 --> 00:47:02,840
Speaker 4: Next question, by the way, ditto at Arizona.

888
00:47:02,880 --> 00:47:05,120
Speaker 6: That's why Kerry Lake is not going to run thirteen

889
00:47:05,200 --> 00:47:06,520
Speaker 6: points behind Donald Trump.

890
00:47:06,760 --> 00:47:09,520
Speaker 4: Yeah, right right, It's not gonna happen.

891
00:47:09,600 --> 00:47:09,960
Speaker 2: All right.

892
00:47:10,040 --> 00:47:13,080
Speaker 1: Last question about states, This one in North Carolina. You

893
00:47:13,120 --> 00:47:16,160
Speaker 1: know a little bit about North Carolina. Soil Screen asked

894
00:47:16,239 --> 00:47:18,200
Speaker 1: Rich about the governor's race in North Carolina.

895
00:47:18,920 --> 00:47:20,240
Speaker 2: This is Obson, right.

896
00:47:20,520 --> 00:47:24,080
Speaker 4: Yeah, this is another state that the media outlets.

897
00:47:23,560 --> 00:47:26,279
Speaker 6: Have had a very difficult time polling, not just in

898
00:47:26,360 --> 00:47:31,120
Speaker 6: presidential cycles, but also in midterm cycles as well.

899
00:47:31,360 --> 00:47:33,200
Speaker 4: If you go back and look, you will see.

900
00:47:32,960 --> 00:47:35,680
Speaker 6: The public polling at ka Hagen in twenty fourteen up

901
00:47:35,719 --> 00:47:40,080
Speaker 6: anywhere between three and thirteen points. She lost to Tom Tillis.

902
00:47:40,320 --> 00:47:44,040
Speaker 6: Twenty sixteen, Fast forward, Hillary Clinton had six point leads

903
00:47:44,040 --> 00:47:46,640
Speaker 6: in polls like the New York Times poll. Namaris poll

904
00:47:46,760 --> 00:47:50,560
Speaker 6: was ridiculous. Donald Trump carried it by four points. Fast

905
00:47:50,600 --> 00:47:53,000
Speaker 6: forward to twenty eight Yeah, I mean this is just

906
00:47:53,400 --> 00:47:57,160
Speaker 6: twenty twenty. Forrester was running against Roy Cooper, who was

907
00:47:57,160 --> 00:48:01,600
Speaker 6: an incumbent running for reelection, and the polls had him down.

908
00:48:02,440 --> 00:48:06,840
Speaker 6: The Marist is great example survey USA, another one USA today,

909
00:48:06,920 --> 00:48:10,760
Speaker 6: another one. They had him down double digits. He lost

910
00:48:10,880 --> 00:48:13,680
Speaker 6: by four points. By the way, they had Trump down too.

911
00:48:14,080 --> 00:48:18,120
Speaker 6: Cal Cunningham against Tom Tillis that same year Cal cunning

912
00:48:18,120 --> 00:48:21,000
Speaker 6: Aham at fifteen point leads in some of these polls.

913
00:48:21,200 --> 00:48:24,800
Speaker 6: It was sixteen points in Marist four weeks before the election.

914
00:48:25,239 --> 00:48:26,080
Speaker 2: He lost.

915
00:48:26,480 --> 00:48:27,280
Speaker 4: He lost.

916
00:48:27,640 --> 00:48:31,160
Speaker 6: We were the only ones who consistently showed Ted bud

917
00:48:31,239 --> 00:48:34,920
Speaker 6: up in twenty twenty two. In this last past midterm survey, USA,

918
00:48:35,040 --> 00:48:36,680
Speaker 6: by the way, had Cherry.

919
00:48:36,360 --> 00:48:37,560
Speaker 4: Beasley plus two.

920
00:48:38,000 --> 00:48:38,600
Speaker 2: She lost.

921
00:48:38,880 --> 00:48:40,759
Speaker 6: So like, that's the poll that I know a lot

922
00:48:40,760 --> 00:48:43,120
Speaker 6: of people got concerned about if you're a Republican. It

923
00:48:43,200 --> 00:48:49,040
Speaker 6: showed Stein basically crushing Mark Robinson. Again, Republicans fall for

924
00:48:49,080 --> 00:48:51,840
Speaker 6: this and the RGA falls for it, and they abandoned

925
00:48:51,840 --> 00:48:54,080
Speaker 6: these candidates who could have easily have won. You know,

926
00:48:54,800 --> 00:48:57,880
Speaker 6: gun Force wasn't running a great eyed campaign, but he

927
00:48:57,960 --> 00:48:58,960
Speaker 6: also was broken.

928
00:48:58,719 --> 00:48:59,719
Speaker 4: Didn't have anybody's health.

929
00:49:00,400 --> 00:49:03,600
Speaker 6: So you know, they like abandon these people who then

930
00:49:03,719 --> 00:49:07,359
Speaker 6: pull very close. You know, I mean that year Trump won,

931
00:49:07,640 --> 00:49:11,600
Speaker 6: till this one the Supreme Court candidate won and he lost.

932
00:49:12,120 --> 00:49:14,239
Speaker 2: So what about Mark Roberts is he gonna win?

933
00:49:14,640 --> 00:49:17,120
Speaker 4: I well, I yeah, I have, I would. I'm gonna

934
00:49:17,440 --> 00:49:19,520
Speaker 4: we will pull this race again really soon.

935
00:49:19,800 --> 00:49:23,600
Speaker 2: Yeah. I really like that guy. I just really liked

936
00:49:23,640 --> 00:49:24,000
Speaker 2: that guy.

937
00:49:24,120 --> 00:49:27,080
Speaker 6: Last time we pulled it was like pretty much it

938
00:49:27,120 --> 00:49:29,279
Speaker 6: was it's been a while. It was almost after the

939
00:49:29,560 --> 00:49:32,480
Speaker 6: like maybe a month after the primary, and we actually

940
00:49:32,480 --> 00:49:35,640
Speaker 6: had Robinson up by two. But things have changed a lot.

941
00:49:35,760 --> 00:49:38,080
Speaker 6: Other people that we do know who pull decently in

942
00:49:38,120 --> 00:49:41,480
Speaker 6: North Carolina also had him up and now they don't.

943
00:49:41,719 --> 00:49:44,640
Speaker 6: So But again, I don't trust anyone else's data. I

944
00:49:44,760 --> 00:49:47,239
Speaker 6: just gotta be real with you guys, like I always am.

945
00:49:47,719 --> 00:49:50,040
Speaker 6: I'm even people that I think do a good job

946
00:49:50,080 --> 00:49:52,400
Speaker 6: and are and are like if they make a mistake,

947
00:49:52,480 --> 00:49:54,840
Speaker 6: it's like an honest mistake, but they're trying to do

948
00:49:54,880 --> 00:49:55,760
Speaker 6: a really good job.

949
00:49:56,239 --> 00:49:58,960
Speaker 4: Everyone thinks North Carolina's the damn research triangle.

950
00:49:59,080 --> 00:50:03,040
Speaker 6: It's notstern. North Carolina is grossly underrepresented in the census.

951
00:50:03,040 --> 00:50:05,400
Speaker 4: They're all waiting for that.

952
00:50:05,960 --> 00:50:09,160
Speaker 6: It was massive state to state migration that was undercounted,

953
00:50:09,440 --> 00:50:13,560
Speaker 6: and that is screwing up polsters weights, you know. I mean,

954
00:50:13,560 --> 00:50:18,080
Speaker 6: if you have the race close in counties like Hyde County,

955
00:50:18,120 --> 00:50:21,279
Speaker 6: because you're waiting so much for and by the way,

956
00:50:21,280 --> 00:50:24,279
Speaker 6: it should never be D plus anything anymore. Democrats have

957
00:50:24,719 --> 00:50:28,799
Speaker 6: bled registrations in this state for years now and it's

958
00:50:29,000 --> 00:50:32,040
Speaker 6: really accelerated. It kind of reminds me of Florida. What

959
00:50:32,120 --> 00:50:35,960
Speaker 6: happened in Florida circa twenty sixteen and then it became

960
00:50:36,040 --> 00:50:39,440
Speaker 6: like a flood, you know, in the state totally changed

961
00:50:39,440 --> 00:50:42,400
Speaker 6: the registration That's what it reminds me of.

962
00:50:42,440 --> 00:50:44,640
Speaker 4: Now. I really would like to pull up myself before

963
00:50:44,680 --> 00:50:45,640
Speaker 4: I know what the governor's race.

964
00:50:45,680 --> 00:50:47,719
Speaker 6: But I'll tell you this, Trump's going to carry North

965
00:50:47,760 --> 00:50:51,000
Speaker 6: Carolina up this shit with the Harris.

966
00:50:50,680 --> 00:50:52,840
Speaker 2: Plus oos and sixes.

967
00:50:52,600 --> 00:50:55,440
Speaker 6: And this and that, Like, come on, man, come on,

968
00:50:55,960 --> 00:50:58,360
Speaker 6: if Nate Owen comes out with a Harris plus anything

969
00:50:58,360 --> 00:51:00,800
Speaker 6: in North Carolina, take it to the bank that Trump's

970
00:51:00,840 --> 00:51:02,879
Speaker 6: gonna win it by at least four points, because that's

971
00:51:02,880 --> 00:51:07,440
Speaker 6: what he did the last two cycles. Bien plus six

972
00:51:08,040 --> 00:51:09,400
Speaker 6: identical bullshit.

973
00:51:09,840 --> 00:51:12,440
Speaker 4: You know it's one both times.

974
00:51:12,680 --> 00:51:15,040
Speaker 2: So I know how you feel about models and Nate Silver.

975
00:51:15,280 --> 00:51:17,479
Speaker 1: Nate Silver has Trump up now, but I think two

976
00:51:17,520 --> 00:51:20,839
Speaker 1: touchdowns and his mom which is I know, I know

977
00:51:20,920 --> 00:51:22,279
Speaker 1: that's he's.

978
00:51:22,000 --> 00:51:27,439
Speaker 6: He's guys, he's baiting you. I'm telling you he does

979
00:51:27,480 --> 00:51:30,920
Speaker 6: the same scam every year. I'm telling you he's baiting you.

980
00:51:30,960 --> 00:51:33,920
Speaker 6: Don't pay any attention to him. But beyond, let you know,

981
00:51:34,200 --> 00:51:38,120
Speaker 6: to say, why he's giving Trump such a a lean

982
00:51:38,239 --> 00:51:40,440
Speaker 6: right now is because it's Pennsylvania, folks.

983
00:51:40,600 --> 00:51:43,800
Speaker 4: That everybody knows that Trump is up in Pennsylvania.

984
00:51:43,920 --> 00:51:46,160
Speaker 2: That's what it is. Like, everyone's like, oh my god,

985
00:51:46,160 --> 00:51:47,680
Speaker 2: this race is close, This race is close.

986
00:51:47,760 --> 00:51:51,800
Speaker 1: Two Democrat strategists that that Mark Halpern was talking about today,

987
00:51:52,120 --> 00:51:55,480
Speaker 1: so that not only is Kamala down in Pennsylvania, she's

988
00:51:55,560 --> 00:51:57,680
Speaker 1: likely going to lose. Now here's the thing. We can't

989
00:51:57,680 --> 00:52:00,320
Speaker 1: paign like we're ten points down. That's that goes without

990
00:52:00,320 --> 00:52:03,120
Speaker 1: saying on this show. So always, I don't want anyone

991
00:52:03,160 --> 00:52:05,040
Speaker 1: to give a sense that we're getting complacent around here.

992
00:52:05,080 --> 00:52:05,719
Speaker 2: Absolutely not.

993
00:52:05,840 --> 00:52:08,920
Speaker 1: Just means we campaign even harder and grind Kamala's campaign

994
00:52:09,000 --> 00:52:13,600
Speaker 1: into a dust, you know, like a we campaign until

995
00:52:13,640 --> 00:52:14,560
Speaker 1: we sprint to the finish.

996
00:52:15,040 --> 00:52:15,800
Speaker 4: Yeah.

997
00:52:15,840 --> 00:52:17,880
Speaker 1: But but how do you say the race is a

998
00:52:17,880 --> 00:52:21,359
Speaker 1: toss up with Kamala losing or on the brink of

999
00:52:21,360 --> 00:52:24,960
Speaker 1: losing Pennsylvania, Because that's everything. If Trump wins Pennsylvania, ninety

1000
00:52:25,000 --> 00:52:27,200
Speaker 1: six percent chance he makes it back to the White House.

1001
00:52:27,440 --> 00:52:29,879
Speaker 2: So you just did a huge pull. You're just out

1002
00:52:29,920 --> 00:52:30,720
Speaker 2: of the field. Now.

1003
00:52:31,640 --> 00:52:33,440
Speaker 1: I saw the sample. I think it's sample size was

1004
00:52:33,480 --> 00:52:35,000
Speaker 1: over three thousand people or something.

1005
00:52:35,040 --> 00:52:37,080
Speaker 4: It's actually technically bigger than that.

1006
00:52:37,160 --> 00:52:39,759
Speaker 6: We rebased it and it's been going on for a

1007
00:52:39,840 --> 00:52:44,600
Speaker 6: long time, so technically it is bigger. The fact is,

1008
00:52:45,560 --> 00:52:47,239
Speaker 6: you know, we watched it, and we're going to show

1009
00:52:47,239 --> 00:52:49,680
Speaker 6: people a little trend chart that we really think that's

1010
00:52:49,719 --> 00:52:52,080
Speaker 6: going to be productive and helpful to understand how this

1011
00:52:52,200 --> 00:52:54,560
Speaker 6: race went and the response.

1012
00:52:54,160 --> 00:52:55,680
Speaker 2: Bias that we saw.

1013
00:52:55,760 --> 00:52:59,160
Speaker 4: You'll see it like live right, so clear, you'll see it.

1014
00:53:00,120 --> 00:53:06,239
Speaker 6: The bottom line is this thing moved maybe two points

1015
00:53:06,239 --> 00:53:09,040
Speaker 6: in her direction, really and they you know, it is

1016
00:53:09,080 --> 00:53:12,399
Speaker 6: bobbing between Trump plus one. The biggest leap she had

1017
00:53:12,600 --> 00:53:15,000
Speaker 6: was like around two points, a little over two.

1018
00:53:15,560 --> 00:53:16,799
Speaker 4: And it's gone now.

1019
00:53:17,040 --> 00:53:19,200
Speaker 6: And actually, if I could show you, let me see

1020
00:53:19,239 --> 00:53:20,560
Speaker 6: if I can pull out good.

1021
00:53:20,440 --> 00:53:23,120
Speaker 1: Just so everyone's tracking a good sample size. You want

1022
00:53:23,120 --> 00:53:25,319
Speaker 1: to be at a minimum. People have said for years

1023
00:53:25,320 --> 00:53:27,920
Speaker 1: a thousand, but now people kind of say fifteen hundred

1024
00:53:28,000 --> 00:53:28,680
Speaker 1: is probably better.

1025
00:53:29,040 --> 00:53:31,719
Speaker 4: And honestly, we're at three. We're at three, like that

1026
00:53:31,840 --> 00:53:33,279
Speaker 4: is the minimum, and that may the.

1027
00:53:33,320 --> 00:53:37,360
Speaker 1: More the more, the more people you have, the more quote,

1028
00:53:37,560 --> 00:53:40,960
Speaker 1: the more accurate theoretically a pole should be. That's why

1029
00:53:41,120 --> 00:53:43,080
Speaker 1: you see a public poll with a sample size of

1030
00:53:43,080 --> 00:53:46,000
Speaker 1: four hundred, like, take it with a grain of salt.

1031
00:53:46,440 --> 00:53:50,360
Speaker 6: Yeah, I mean the bottom line is we can see

1032
00:53:50,400 --> 00:53:54,920
Speaker 6: the distortion and the data at a thousand responses stupid,

1033
00:53:55,800 --> 00:53:57,960
Speaker 6: And you're going to get these people who are willing

1034
00:53:58,000 --> 00:53:59,759
Speaker 6: to take these poles that are going to fill up

1035
00:53:59,800 --> 00:54:02,400
Speaker 6: what you know, really your quotas, right, you know you

1036
00:54:02,480 --> 00:54:04,480
Speaker 6: need to talk to X number of people that have

1037
00:54:04,800 --> 00:54:06,960
Speaker 6: college degrees or don't have college degrees.

1038
00:54:07,120 --> 00:54:10,080
Speaker 2: Right, this is what and room this in as much

1039
00:54:10,080 --> 00:54:10,480
Speaker 2: as you can.

1040
00:54:10,640 --> 00:54:12,239
Speaker 6: Yeah, I was just gonna say, so, this is an

1041
00:54:12,280 --> 00:54:14,960
Speaker 6: interesting dynamic, and I was just working on variables to

1042
00:54:14,960 --> 00:54:17,200
Speaker 6: make it you know, locals knows what I'm talking about,

1043
00:54:17,440 --> 00:54:20,000
Speaker 6: to make it clean and to make it easy for

1044
00:54:20,040 --> 00:54:22,000
Speaker 6: people to see. Right now, we just have the presidential

1045
00:54:22,080 --> 00:54:24,799
Speaker 6: race up there. I was just about to add the

1046
00:54:24,840 --> 00:54:27,719
Speaker 6: generic ballad. Is that Let me just see real quick

1047
00:54:27,840 --> 00:54:30,520
Speaker 6: because I could add that. Yeah, okay, so let me

1048
00:54:30,560 --> 00:54:34,000
Speaker 6: add that real quick, and I'll restart it so I

1049
00:54:34,040 --> 00:54:36,440
Speaker 6: can put this in with the rose there's race division

1050
00:54:36,480 --> 00:54:40,200
Speaker 6: a very a couple of a couple of things that

1051
00:54:40,280 --> 00:54:42,399
Speaker 6: I thought it was important for people to see right away,

1052
00:54:42,440 --> 00:54:46,319
Speaker 6: which was certain demographics. We asked about issues. You know,

1053
00:54:46,640 --> 00:54:49,319
Speaker 6: who do people trust more? Where's the generic? There's the

1054
00:54:49,360 --> 00:54:52,200
Speaker 6: generic ballad with leaners. Let's go ahead and get rid

1055
00:54:52,239 --> 00:54:53,960
Speaker 6: of the undecided because you got to get rid of

1056
00:54:54,000 --> 00:54:56,600
Speaker 6: the undecideds for leaners. Sorry, I'm like kind of doing

1057
00:54:56,640 --> 00:54:59,440
Speaker 6: this live. Uh okay, it wants me to save the

1058
00:54:59,520 --> 00:55:02,200
Speaker 6: crossed down all right. Now, we're going to change the

1059
00:55:02,200 --> 00:55:05,560
Speaker 6: calculations real quick. Bear with me, guys. We're gonna get

1060
00:55:05,600 --> 00:55:08,200
Speaker 6: valid cases. Ooh, it won't let me scroll. Okay, I'll

1061
00:55:08,200 --> 00:55:10,680
Speaker 6: have to zoom out real quick. Bear with me, guys. Okay,

1062
00:55:10,960 --> 00:55:14,640
Speaker 6: sample size tops right mentions and then a percentage of

1063
00:55:14,680 --> 00:55:15,520
Speaker 6: the sample size.

1064
00:55:15,560 --> 00:55:16,279
Speaker 4: We want to do that.

1065
00:55:16,680 --> 00:55:19,200
Speaker 6: And it's really as you probably just saw, it's rebased it.

1066
00:55:19,280 --> 00:55:22,920
Speaker 6: We spoke to a lot more people than this over time,

1067
00:55:23,160 --> 00:55:27,160
Speaker 6: and I always tell people don't use the incorrect terminology

1068
00:55:27,239 --> 00:55:30,160
Speaker 6: over sampling and overrepresentation. It's not the same thing, and

1069
00:55:30,239 --> 00:55:32,919
Speaker 6: those terms are not interchangeable. So a lot of people

1070
00:55:33,000 --> 00:55:36,759
Speaker 6: say they oversampled democrats, they oversampled this group. That's not

1071
00:55:36,800 --> 00:55:39,439
Speaker 6: what you mean. You mean they're over represented in the poll.

1072
00:55:39,800 --> 00:55:42,759
Speaker 6: We over sample groups all the time, and by the way,

1073
00:55:43,080 --> 00:55:46,160
Speaker 6: African Americans were way too much of the raw sample

1074
00:55:46,320 --> 00:55:49,080
Speaker 6: we wanted them to be because I was very curious

1075
00:55:49,120 --> 00:55:53,080
Speaker 6: about whether or not African American men were still supporting

1076
00:55:53,160 --> 00:55:55,800
Speaker 6: Trump at the rate that they were before Biden dropped

1077
00:55:55,800 --> 00:56:00,480
Speaker 6: out and Kamala Harris was replaced. African American women in

1078
00:56:00,800 --> 00:56:04,839
Speaker 6: good measure gone back to Kamal Harris, okay, but not men.

1079
00:56:05,400 --> 00:56:05,720
Speaker 4: Okay.

1080
00:56:05,840 --> 00:56:08,920
Speaker 6: So just to keep that in mind, men, especially driven

1081
00:56:08,960 --> 00:56:12,319
Speaker 6: by men who are forty five and under, have not

1082
00:56:12,400 --> 00:56:15,399
Speaker 6: gone back to Harris. They still support trumpet like these

1083
00:56:15,520 --> 00:56:18,120
Speaker 6: ridiculous rates that I never thought I would see.

1084
00:56:18,200 --> 00:56:20,719
Speaker 4: So he still is getting nineteen percent of the Black vote.

1085
00:56:20,760 --> 00:56:22,560
Speaker 6: Now that's down from some of the numbers you and

1086
00:56:22,600 --> 00:56:25,680
Speaker 6: I were talking about against Biden. Wire just kind of crazy,

1087
00:56:25,719 --> 00:56:27,680
Speaker 6: and I would tell you, Sean, I don't think that's

1088
00:56:27,680 --> 00:56:29,640
Speaker 6: gonna happen, you know, But I do think he's gonna

1089
00:56:29,640 --> 00:56:32,759
Speaker 6: do much much better with the Black vote. If you

1090
00:56:32,840 --> 00:56:36,279
Speaker 6: look at just the initial before we lean anyone, they're

1091
00:56:36,320 --> 00:56:38,680
Speaker 6: both about it forty six percent. She's got a few

1092
00:56:38,680 --> 00:56:41,719
Speaker 6: more interviews with him than him forty six point four

1093
00:56:41,760 --> 00:56:44,160
Speaker 6: to forty five point eight. By the way, even if

1094
00:56:44,160 --> 00:56:47,160
Speaker 6: that was the final margin, Volks, that's a loss for her.

1095
00:56:47,280 --> 00:56:49,960
Speaker 6: And I'm gonna show you why, all right, Harris versus

1096
00:56:49,960 --> 00:56:52,520
Speaker 6: Trump with leaner, these are the leaners. This is how

1097
00:56:52,520 --> 00:56:55,160
Speaker 6: people are breaking so undecided, the are breaking to Trump

1098
00:56:55,360 --> 00:56:58,680
Speaker 6: fifty four point three to forty five point seven, all right.

1099
00:56:59,200 --> 00:57:03,000
Speaker 6: And then Harris verus Trump with leaners together is like

1100
00:57:03,120 --> 00:57:06,239
Speaker 6: split dead even fifty to fifty. He's got one more

1101
00:57:06,280 --> 00:57:09,560
Speaker 6: interview than her, all right, which is really insane.

1102
00:57:10,440 --> 00:57:13,759
Speaker 4: And then the generic ballad is Democrat plus one and

1103
00:57:14,040 --> 00:57:18,439
Speaker 4: with leaners. Okay, with leaners, Eventually this someone else third

1104
00:57:18,440 --> 00:57:20,520
Speaker 4: party will shrink as we get closer to the election.

1105
00:57:20,960 --> 00:57:23,520
Speaker 4: But it's d plus one. I know that's within the margin,

1106
00:57:23,760 --> 00:57:26,200
Speaker 4: and I know that's a marginal lead. But still with

1107
00:57:26,320 --> 00:57:29,880
Speaker 4: the seats that are vulnerable for Republicans, you really don't

1108
00:57:29,880 --> 00:57:32,880
Speaker 4: want to see them running this far behind Donald Trump. Again,

1109
00:57:33,000 --> 00:57:34,320
Speaker 4: that's with leaners.

1110
00:57:34,360 --> 00:57:37,160
Speaker 6: Trump is running almost five points ahead of them in

1111
00:57:38,000 --> 00:57:41,560
Speaker 6: the initial ask, and then with leaners and he's running

1112
00:57:41,600 --> 00:57:42,880
Speaker 6: four points ahead of them.

1113
00:57:43,160 --> 00:57:43,920
Speaker 4: That's bad.

1114
00:57:44,160 --> 00:57:47,640
Speaker 6: I mean, the presidential candidate is at fifty percent and

1115
00:57:47,680 --> 00:57:48,760
Speaker 6: they are at forty six.

1116
00:57:49,200 --> 00:57:52,920
Speaker 4: That's pathetic. I honestly it is. I'm just being that.

1117
00:57:53,440 --> 00:57:56,880
Speaker 6: What is that the Yeah, So this is the generic

1118
00:57:56,960 --> 00:57:59,200
Speaker 6: ballad who you're gonna vote for in your district, the

1119
00:57:59,640 --> 00:58:04,560
Speaker 6: right or the Democratic candidate. With leaners combined, there's a

1120
00:58:04,560 --> 00:58:06,840
Speaker 6: good deal of third party someone else, and that's going

1121
00:58:06,920 --> 00:58:09,280
Speaker 6: to shrink as we get closer to the election if

1122
00:58:09,280 --> 00:58:11,800
Speaker 6: you look at who these people are. The one good

1123
00:58:11,880 --> 00:58:14,560
Speaker 6: piece of news for Republicans is that that's a lot

1124
00:58:14,600 --> 00:58:16,720
Speaker 6: of Trump voters who are throwing their vote away right

1125
00:58:16,760 --> 00:58:19,040
Speaker 6: now and saying I don't want to vote for the Republican.

1126
00:58:19,280 --> 00:58:19,720
Speaker 2: I don't.

1127
00:58:20,200 --> 00:58:23,040
Speaker 4: So they're running before you lean people.

1128
00:58:23,360 --> 00:58:26,520
Speaker 6: The generic Republican is running five points behind Donald Trump.

1129
00:58:26,880 --> 00:58:31,040
Speaker 6: When you lean them, they're still running four points behind

1130
00:58:31,080 --> 00:58:34,440
Speaker 6: Donald Trump, and the presidential candidate is at fifty percent

1131
00:58:34,680 --> 00:58:37,720
Speaker 6: because they're split debt even I haven't pulled a race

1132
00:58:38,080 --> 00:58:41,400
Speaker 6: like that in a long time, brother, in a long time.

1133
00:58:41,520 --> 00:58:42,480
Speaker 2: So what do you think of it?

1134
00:58:42,960 --> 00:58:44,520
Speaker 6: Well, I think at the end of the day, if

1135
00:58:44,520 --> 00:58:46,680
Speaker 6: Trump is in the forties with Hispanics and he's at

1136
00:58:46,720 --> 00:58:48,919
Speaker 6: twenty two percent among blacks the way he is here,

1137
00:58:49,000 --> 00:58:51,120
Speaker 6: we know he's going to pull We know he's going

1138
00:58:51,160 --> 00:58:53,000
Speaker 6: to perform stronger than he's going.

1139
00:58:53,000 --> 00:58:53,960
Speaker 4: To pull among whites.

1140
00:58:54,240 --> 00:58:56,120
Speaker 6: This is a loss for her. And bear with me,

1141
00:58:56,160 --> 00:58:58,320
Speaker 6: and I'm going to show you why. First Let's go

1142
00:58:58,480 --> 00:58:59,920
Speaker 6: to a region.

1143
00:59:00,040 --> 00:59:01,240
Speaker 4: Which there's more specific.

1144
00:59:01,240 --> 00:59:05,480
Speaker 6: But let's go to region first, Northeast, Midwest, Southwest, which

1145
00:59:05,520 --> 00:59:07,680
Speaker 6: we're much more granular than others. I can show you

1146
00:59:07,720 --> 00:59:12,320
Speaker 6: division and elsewhere when you have before leaners, just asking

1147
00:59:12,360 --> 00:59:15,560
Speaker 6: straight up. You can see she's ahead in the northeast,

1148
00:59:15,680 --> 00:59:19,200
Speaker 6: of course, but the Northeast encompasses New England and the

1149
00:59:19,240 --> 00:59:22,720
Speaker 6: mid Atlantic. The mid Atlantic is New York, New Jersey

1150
00:59:22,760 --> 00:59:27,840
Speaker 6: and Pennsylvania. Okay, that's important. Just bear with me. The

1151
00:59:27,880 --> 00:59:31,080
Speaker 6: Northeast should be much more liberal than this, and that's

1152
00:59:31,120 --> 00:59:34,800
Speaker 6: because she and she's doing good in New England, she's

1153
00:59:34,920 --> 00:59:37,960
Speaker 6: romping it. However, it's not as strong as like Biden

1154
00:59:38,120 --> 00:59:40,400
Speaker 6: was in twenty twenty. So that's when you have to

1155
00:59:40,440 --> 00:59:42,880
Speaker 6: start worrying. Maybe Maine is going to be closer than

1156
00:59:42,880 --> 00:59:45,120
Speaker 6: she would like. New Hampshire.

1157
00:59:45,240 --> 00:59:46,960
Speaker 4: I am always skeptical of that state.

1158
00:59:47,080 --> 00:59:50,040
Speaker 6: I am it's so educated in liberal now I'm skeptical

1159
00:59:50,080 --> 00:59:52,919
Speaker 6: of it. However, Maine and maybe she's doing a little

1160
00:59:52,960 --> 00:59:54,840
Speaker 6: bit stronger in New Hampshire than they think. You know,

1161
00:59:55,920 --> 00:59:59,120
Speaker 6: in the South, he has a lead, and there's things

1162
00:59:59,160 --> 01:00:01,640
Speaker 6: happening with the South. Well, you cannot rely on it,

1163
01:00:01,720 --> 01:00:05,200
Speaker 6: you know, being so Republican forever. Republicans better start reaching

1164
01:00:05,200 --> 01:00:08,040
Speaker 6: out to different groups of people the way that Trump

1165
01:00:08,160 --> 01:00:11,480
Speaker 6: is able to do, because they're not doing as well

1166
01:00:11,520 --> 01:00:12,520
Speaker 6: as you would think they are.

1167
01:00:12,800 --> 01:00:14,959
Speaker 4: I mean, they're head by six points in the South.

1168
01:00:15,240 --> 01:00:19,360
Speaker 6: That's disgusting, you know, whereas he's got an eight point

1169
01:00:19,440 --> 01:00:22,120
Speaker 6: lead when leaned. Actually no, I'm sorry, eight points and

1170
01:00:22,120 --> 01:00:25,600
Speaker 6: then ten points when leaned. So the Midwest is where

1171
01:00:25,600 --> 01:00:27,520
Speaker 6: it comes down to, folks. This is what I mean.

1172
01:00:27,560 --> 01:00:30,520
Speaker 6: I'm not only concerned about this, but I am, of

1173
01:00:30,560 --> 01:00:35,400
Speaker 6: course extremely concerned about where the Midwest is. Trump initially

1174
01:00:35,480 --> 01:00:38,320
Speaker 6: is leading forty nine to forty four. She does win

1175
01:00:38,360 --> 01:00:40,600
Speaker 6: the leaners about it a sixty to forty break, which

1176
01:00:40,640 --> 01:00:43,960
Speaker 6: is odd. You can tell right here that aside from

1177
01:00:44,000 --> 01:00:47,360
Speaker 6: the Northeast, Trump is winning the leaners every other region.

1178
01:00:47,720 --> 01:00:49,919
Speaker 6: So it may be some noise here. We're only talking

1179
01:00:49,920 --> 01:00:52,440
Speaker 6: about a difference of nine interviews. It may be overstated,

1180
01:00:53,000 --> 01:00:55,880
Speaker 6: but Trump and Biden, depending on how you look at

1181
01:00:56,240 --> 01:00:59,680
Speaker 6: Trump basically carried the Midwest in Edison research by like

1182
01:00:59,720 --> 01:01:04,160
Speaker 6: two poles in those the National egsit Pole Consortium and

1183
01:01:04,200 --> 01:01:07,480
Speaker 6: then the voter validated surveys actually show that Biden carried

1184
01:01:07,480 --> 01:01:10,520
Speaker 6: the Midwest by a few points. It really is that close.

1185
01:01:11,080 --> 01:01:13,760
Speaker 6: You can tell here that Trump is leading in the Midwest,

1186
01:01:13,920 --> 01:01:15,440
Speaker 6: and that is a major problem.

1187
01:01:15,560 --> 01:01:18,200
Speaker 2: How can you tell them? How can you tell by region?

1188
01:01:18,440 --> 01:01:20,920
Speaker 6: You know, he is ahead in the Midwest, But then

1189
01:01:20,960 --> 01:01:23,080
Speaker 6: when you break it down by census division, which we

1190
01:01:23,120 --> 01:01:25,680
Speaker 6: do and we go even further than that, but when

1191
01:01:25,720 --> 01:01:28,960
Speaker 6: you break it down by census division New England, she's

1192
01:01:28,960 --> 01:01:30,920
Speaker 6: got a margin like you would expect her to have

1193
01:01:30,960 --> 01:01:34,040
Speaker 6: in New England. The mid Atlantic should be bigger because

1194
01:01:34,080 --> 01:01:36,480
Speaker 6: it's New York, New Jersey and Pennsylvania.

1195
01:01:36,760 --> 01:01:39,440
Speaker 2: What's the what are the margins in these two respective regions.

1196
01:01:39,640 --> 01:01:43,040
Speaker 6: Yeah, so she's winning New England sixty four thirty six,

1197
01:01:43,120 --> 01:01:46,760
Speaker 6: which is that is a because I'm sorry, she's winning

1198
01:01:46,760 --> 01:01:49,360
Speaker 6: it fifty three to forty, and then winning the Leaner

1199
01:01:49,440 --> 01:01:50,600
Speaker 6: sixty four to thirty six.

1200
01:01:50,880 --> 01:01:54,400
Speaker 4: So she's ahead all together by about what is it fourteen?

1201
01:01:54,520 --> 01:01:55,800
Speaker 4: I think in New England?

1202
01:01:56,520 --> 01:01:58,880
Speaker 6: Yeah, I mean it's very close, I mean to what

1203
01:01:58,920 --> 01:02:02,800
Speaker 6: it should be and it's not that much. It's fifty

1204
01:02:02,840 --> 01:02:04,680
Speaker 6: seven forty three. Sorry my eyes.

1205
01:02:05,400 --> 01:02:07,720
Speaker 4: But in the Middle Atlantic, and this is how you

1206
01:02:07,760 --> 01:02:09,560
Speaker 4: know she's ahead in the Ross Belt. Okay, I mean

1207
01:02:09,600 --> 01:02:11,720
Speaker 4: he's ahead. I'm sorry, and I want to misspeak. This

1208
01:02:11,760 --> 01:02:13,560
Speaker 4: is how you know Trump is ahead in the Ross Belt.

1209
01:02:13,880 --> 01:02:16,520
Speaker 6: In the Middle Atlantic, which is New York, New Jersey,

1210
01:02:16,520 --> 01:02:19,200
Speaker 6: and Pennsylvania, her lead is only fifty four to forty six.

1211
01:02:19,720 --> 01:02:24,760
Speaker 6: Ladies and gentlemen, the Mid Atlantic. The population obviously, between

1212
01:02:24,800 --> 01:02:26,680
Speaker 6: New York and New Jersey, you would.

1213
01:02:26,440 --> 01:02:29,760
Speaker 4: Expect those are blue states. We knew they were closer.

1214
01:02:30,160 --> 01:02:32,800
Speaker 6: So if New York and New Jersey are not bringing

1215
01:02:32,960 --> 01:02:36,760
Speaker 6: her margin up higher, what does Pennsylvania look like? Okay,

1216
01:02:36,800 --> 01:02:38,880
Speaker 6: because those are the three states that make up that region,

1217
01:02:39,440 --> 01:02:42,439
Speaker 6: obviously it's leaning to Trump. And then between the other

1218
01:02:43,840 --> 01:02:46,720
Speaker 6: the other areas that what we call the Ross Belt.

1219
01:02:47,040 --> 01:02:52,040
Speaker 6: East North Central obviously is Trump fifty one. It's very close,

1220
01:02:52,080 --> 01:02:53,920
Speaker 6: but he's ahead by about a point a point and

1221
01:02:53,920 --> 01:02:56,960
Speaker 6: a half. It's rounded, it's like a point. I know,

1222
01:02:57,080 --> 01:02:59,800
Speaker 6: rounding works funny when you have this close of a race.

1223
01:03:00,360 --> 01:03:03,080
Speaker 6: West North Central is an even bigger problem for her.

1224
01:03:03,280 --> 01:03:06,960
Speaker 6: He's ahead fifty five forty five I mean when you

1225
01:03:07,000 --> 01:03:09,320
Speaker 6: take those three regions together, Sean.

1226
01:03:09,520 --> 01:03:11,000
Speaker 4: He's ahead, that's it.

1227
01:03:11,320 --> 01:03:15,640
Speaker 6: And in an area like Pennsylvania, is that trumpy right now?

1228
01:03:15,920 --> 01:03:19,280
Speaker 6: Then you would expect West north Central because we're talking

1229
01:03:19,320 --> 01:03:22,200
Speaker 6: about other states like Ohio and Iowa to be much

1230
01:03:22,240 --> 01:03:24,560
Speaker 6: more pro Trump. And then the battleground of it all,

1231
01:03:24,640 --> 01:03:26,640
Speaker 6: you know, we're looking at like Michigan.

1232
01:03:27,120 --> 01:03:29,680
Speaker 4: He's got it like a you know, he's.

1233
01:03:29,480 --> 01:03:31,720
Speaker 6: Got a lead, so it's not a hugely, it's closer,

1234
01:03:31,920 --> 01:03:34,640
Speaker 6: but it is leite and she has to run through

1235
01:03:34,680 --> 01:03:38,280
Speaker 6: these states to win. She has to, and there's some

1236
01:03:38,400 --> 01:03:41,920
Speaker 6: very really other, you know, important stuff. Race is just

1237
01:03:42,240 --> 01:03:45,120
Speaker 6: a huge demographic for me, and age of course, like

1238
01:03:45,360 --> 01:03:47,920
Speaker 6: she's not gotten back all of these young voters. She's

1239
01:03:47,920 --> 01:03:51,080
Speaker 6: gotten back a subgroup of them, and you know, it's

1240
01:03:51,120 --> 01:03:51,760
Speaker 6: just not enough.

1241
01:03:51,920 --> 01:03:52,680
Speaker 4: It's not enough.

1242
01:03:52,960 --> 01:03:55,520
Speaker 6: But we when we break this down again by by

1243
01:03:56,320 --> 01:03:59,680
Speaker 6: these divisions, this is problematic for her. It really is

1244
01:03:59,680 --> 01:04:02,640
Speaker 6: probably manic for her. She's not even that far ahead

1245
01:04:02,640 --> 01:04:05,760
Speaker 6: in the Pacific for a Democrat. But it explains to

1246
01:04:05,800 --> 01:04:09,240
Speaker 6: me why she erased his like kind of ridiculous polling

1247
01:04:09,320 --> 01:04:13,200
Speaker 6: lead and even though he's still the favorite, you know,

1248
01:04:13,280 --> 01:04:16,800
Speaker 6: in my mind, because she made some of those margins

1249
01:04:16,800 --> 01:04:20,280
Speaker 6: in like New York and California. Go back to what

1250
01:04:20,360 --> 01:04:24,880
Speaker 6: are traditionally what you would expect from Democratic margins. Right,

1251
01:04:25,000 --> 01:04:29,040
Speaker 6: Hillary Clinton's entire two plus point popular.

1252
01:04:28,680 --> 01:04:30,680
Speaker 4: Vote edge could be explained away.

1253
01:04:30,440 --> 01:04:32,720
Speaker 6: By Los Angeles and New York, you know, I mean,

1254
01:04:32,760 --> 01:04:37,080
Speaker 6: really it can. It's not quite there yet, which is

1255
01:04:37,080 --> 01:04:39,720
Speaker 6: why Trump is still fifty to fifty with our But

1256
01:04:39,840 --> 01:04:40,840
Speaker 6: it is not enough.

1257
01:04:41,000 --> 01:04:42,560
Speaker 4: It's not Biden needed.

1258
01:04:43,240 --> 01:04:45,000
Speaker 6: I think there's an argument to be made that she

1259
01:04:45,240 --> 01:04:48,280
Speaker 6: does she doesn't need Biden's margin, But damn man, does

1260
01:04:48,280 --> 01:04:50,200
Speaker 6: she need every bit of three and a half percent?

1261
01:04:50,600 --> 01:04:52,560
Speaker 4: You know, three three and a half. She's not getting

1262
01:04:52,560 --> 01:04:54,240
Speaker 4: it right now, She's not getting it.

1263
01:04:54,720 --> 01:04:57,240
Speaker 2: That is a that's that's crazy.

1264
01:04:57,440 --> 01:04:59,920
Speaker 1: I mean it's and I think, you know, people like

1265
01:05:00,160 --> 01:05:04,040
Speaker 1: seeing how all of this works behind the scenes. I think,

1266
01:05:04,560 --> 01:05:07,760
Speaker 1: you know, hearing the explanation, seeing the depth of which

1267
01:05:07,760 --> 01:05:11,440
Speaker 1: you approach this polling. I mean, I tell people that

1268
01:05:11,480 --> 01:05:13,360
Speaker 1: you're the best in the business for a reason, and

1269
01:05:13,400 --> 01:05:15,400
Speaker 1: how I think it helps to see this, you know, so,

1270
01:05:16,520 --> 01:05:19,880
Speaker 1: how can how can people best support you? Support big

1271
01:05:19,960 --> 01:05:23,560
Speaker 1: data poll whatever whatever else you got going on, Rich, I.

1272
01:05:23,480 --> 01:05:25,520
Speaker 6: Mean, the best thing they can do Sean is always

1273
01:05:25,560 --> 01:05:29,400
Speaker 6: follow us on locals People's fundent that locals dot com

1274
01:05:29,440 --> 01:05:31,400
Speaker 6: and from there you can learn all about the Public

1275
01:05:31,480 --> 01:05:34,000
Speaker 6: Polling Project. People can see the little thing it'll say click,

1276
01:05:34,040 --> 01:05:36,160
Speaker 6: you know, support our polls and little hands in the air,

1277
01:05:36,200 --> 01:05:37,080
Speaker 6: little polling graphic.

1278
01:05:37,320 --> 01:05:39,520
Speaker 4: Click on it. Go check out the Public Polling Project.

1279
01:05:39,560 --> 01:05:41,280
Speaker 4: Contribute if you can, because it is public.

1280
01:05:41,320 --> 01:05:44,840
Speaker 6: It's a public funded project, publicly funded project, and it

1281
01:05:44,920 --> 01:05:45,920
Speaker 6: scroup funded.

1282
01:05:45,840 --> 01:05:46,040
Speaker 2: You know.

1283
01:05:46,240 --> 01:05:50,680
Speaker 6: And and of course sharing it is always very helpful.

1284
01:05:50,760 --> 01:05:51,959
Speaker 4: I mean, share it far and wide.

1285
01:05:52,040 --> 01:05:56,040
Speaker 6: The bigger the base of contributors, the easier of a

1286
01:05:56,080 --> 01:05:58,480
Speaker 6: burden it is to everybody who gives to it, you know.

1287
01:05:58,640 --> 01:06:01,760
Speaker 4: So that's the best way to do it, brother and locals.

1288
01:06:01,880 --> 01:06:04,760
Speaker 6: Of course, sign up the locals, be a member even

1289
01:06:05,040 --> 01:06:07,360
Speaker 6: you know, just it's a great way to stay up

1290
01:06:07,360 --> 01:06:09,760
Speaker 6: to date on when we're releasing them, because locals, we'll

1291
01:06:09,760 --> 01:06:10,560
Speaker 6: get all this first.

1292
01:06:11,560 --> 01:06:12,360
Speaker 2: That's the way to do it.

1293
01:06:12,360 --> 01:06:16,440
Speaker 1: You should the support follow, subscribe to People's Pundit on Rumble,

1294
01:06:16,520 --> 01:06:19,880
Speaker 1: watch a show inside the Numbers, uh follow, become a

1295
01:06:19,880 --> 01:06:23,280
Speaker 1: member on Local support all of your polling product Big

1296
01:06:23,360 --> 01:06:25,400
Speaker 1: data poll check that out as well.

1297
01:06:26,880 --> 01:06:27,400
Speaker 2: Anything else.

1298
01:06:27,400 --> 01:06:29,760
Speaker 1: Savage Rich, what are you and Savage in the Savage

1299
01:06:29,800 --> 01:06:31,640
Speaker 1: family have going on this weekend.

1300
01:06:31,880 --> 01:06:33,200
Speaker 4: Uffed peppers tonight.

1301
01:06:33,480 --> 01:06:37,320
Speaker 6: I can't get first, but you know it's the kids

1302
01:06:37,360 --> 01:06:39,400
Speaker 6: went back to school last week and then we had

1303
01:06:39,440 --> 01:06:41,400
Speaker 6: Labor Day. It was nice, which, by the way, is

1304
01:06:41,440 --> 01:06:43,600
Speaker 6: why I had to hold this poll and continue to

1305
01:06:43,600 --> 01:06:45,560
Speaker 6: poll so I could really show them over time how

1306
01:06:45,600 --> 01:06:45,919
Speaker 6: this went.

1307
01:06:46,280 --> 01:06:48,040
Speaker 4: And they'll they'll see that very soon.

1308
01:06:48,720 --> 01:06:52,640
Speaker 6: Labor Day is such an important critical like landmark time

1309
01:06:52,680 --> 01:06:53,000
Speaker 6: to pull.

1310
01:06:53,160 --> 01:06:55,080
Speaker 4: Yes, you have a lot of people who are home.

1311
01:06:55,800 --> 01:06:57,400
Speaker 6: They want to relax and they want to go out

1312
01:06:57,440 --> 01:06:59,520
Speaker 6: maybe barbecue and do their things, but you still can

1313
01:06:59,560 --> 01:07:02,880
Speaker 6: get a whole. In my view, there are certain times

1314
01:07:03,120 --> 01:07:07,160
Speaker 6: where it's better to avoid response bias, and it was

1315
01:07:07,280 --> 01:07:10,880
Speaker 6: critical to get this gauge right now so when we

1316
01:07:10,960 --> 01:07:13,280
Speaker 6: pull in the future, we know what our benchmark is.

1317
01:07:13,440 --> 01:07:16,560
Speaker 4: You know that, that Labor Day benchmark. So that's what

1318
01:07:16,640 --> 01:07:20,880
Speaker 4: I did this weekend. Maybe I'll enjoy the next one

1319
01:07:20,920 --> 01:07:21,520
Speaker 4: a little bit more.

1320
01:07:21,600 --> 01:07:23,920
Speaker 1: Yeah, go out and get the sun rich. You're too pale.

1321
01:07:24,480 --> 01:07:27,360
Speaker 1: I know, I know the difference of our complexion. Here,

1322
01:07:27,400 --> 01:07:30,000
Speaker 1: look out, look at like look at the side by side.

1323
01:07:29,760 --> 01:07:35,000
Speaker 6: Here, look look at the hands too, And the pool

1324
01:07:35,080 --> 01:07:36,080
Speaker 6: is still out there cooking.

1325
01:07:36,200 --> 01:07:36,480
Speaker 4: Brother.

1326
01:07:36,640 --> 01:07:39,360
Speaker 6: It's still out there and it's looking good. I mean,

1327
01:07:39,400 --> 01:07:40,400
Speaker 6: I just don't get in it.

1328
01:07:40,440 --> 01:07:40,640
Speaker 2: You know.

1329
01:07:40,680 --> 01:07:43,720
Speaker 6: I may run out there some lapse, but when I

1330
01:07:43,800 --> 01:07:45,840
Speaker 6: do laps, it's too damn early it is.

1331
01:07:45,920 --> 01:07:47,800
Speaker 4: Not Yeah, and then the sun's not out.

1332
01:07:47,680 --> 01:07:50,040
Speaker 2: Yet, so it's crazy. All right.

1333
01:07:50,960 --> 01:07:54,000
Speaker 1: Well, I will see you next Wednesday, my friend as always, Brother,

1334
01:07:54,080 --> 01:07:54,760
Speaker 1: all right, see your.

1335
01:07:54,760 --> 01:07:57,400
Speaker 2: Rich, take care of brother. All right, that's savage. It's

1336
01:07:57,400 --> 01:07:58,440
Speaker 2: the best polster in the business.

1337
01:07:58,480 --> 01:08:01,680
Speaker 1: You should definitely go support them at big a Pull, subscribe,

1338
01:08:01,840 --> 01:08:05,560
Speaker 1: follow his Rumble show, become a member on Locals, do

1339
01:08:05,600 --> 01:08:08,840
Speaker 1: whatever you got to take to support that guy. All right, folks,

1340
01:08:09,800 --> 01:08:12,680
Speaker 1: we are over our time limit here, but first let

1341
01:08:12,680 --> 01:08:16,040
Speaker 1: me tell you, oh, Roy got a flag from Aunt Cindy. Roy,

1342
01:08:16,120 --> 01:08:20,719
Speaker 1: thank you for the Rumble Rants tip. Super super grateful

1343
01:08:20,800 --> 01:08:23,400
Speaker 1: for you. One hundred percent of the Rumble Rants tips

1344
01:08:23,600 --> 01:08:26,920
Speaker 1: goes to improving the show, and we got some cool

1345
01:08:26,920 --> 01:08:30,120
Speaker 1: stuff planned to kind of take things to the next

1346
01:08:30,200 --> 01:08:33,320
Speaker 1: level from a production standpoint to make the show a

1347
01:08:33,320 --> 01:08:37,599
Speaker 1: better quality viewing, even listening experience. So got some stuff

1348
01:08:37,640 --> 01:08:41,080
Speaker 1: in the works. So thank you Roy as always, folks,

1349
01:08:41,320 --> 01:08:45,280
Speaker 1: keep the faith. The best is yet to come. Take

1350
01:08:45,360 --> 01:08:49,400
Speaker 1: action in your community, help save this country before we pop.

1351
01:08:49,439 --> 01:08:52,240
Speaker 1: Smoke for the day, Smash that like button, that little

1352
01:08:52,240 --> 01:08:55,440
Speaker 1: green thumb beneath the video, get us on that leaderboard.

1353
01:08:55,479 --> 01:08:58,640
Speaker 1: We've got an awesome streak going. Tell your family and

1354
01:08:58,640 --> 01:09:02,479
Speaker 1: friends to subscribe about a live We need them in

1355
01:09:02,479 --> 01:09:05,160
Speaker 1: the trenches and the fight to save this country. As always, folks,

1356
01:09:05,280 --> 01:09:08,080
Speaker 1: I will see you tomorrow. We got Brian Dean right

1357
01:09:09,479 --> 01:09:12,280
Speaker 1: right night on deck for tomorrow. It's going to be

1358
01:09:12,280 --> 01:09:14,800
Speaker 1: a great show as always, folks. God bless you all,

1359
01:09:15,080 --> 01:09:17,920
Speaker 1: and God bless this amazing country that we call home.

1360
01:09:18,240 --> 01:09:21,080
Speaker 2: Take care, good night, and I will see you tomorrow.

1361
01:09:21,240 --> 01:09:21,800
Speaker 2: Battle Crew,