1
00:00:03,360 --> 00:00:08,760
Speaker 1: Morning. You're about to enter the arena and join the Battle.

2
00:00:08,440 --> 00:00:13,160
Speaker 2: To Save America with your host, Sean Parnell.

3
00:00:14,360 --> 00:00:20,840
Speaker 1: Good evening, America, Welcome battle crew. This is Battleground Live,

4
00:00:20,920 --> 00:00:24,440
Speaker 1: the show where we lock horns with the radical left,

5
00:00:24,840 --> 00:00:27,560
Speaker 1: where we kick ass and take names. We never quit,

6
00:00:27,680 --> 00:00:30,840
Speaker 1: we never surrender. I'm your host, Sean Parnell, combat Vet,

7
00:00:31,320 --> 00:00:35,400
Speaker 1: New York Times bestselling author. And more importantly than both

8
00:00:35,560 --> 00:00:38,920
Speaker 1: of those things is that I'm a humble servant of America.

9
00:00:38,960 --> 00:00:43,320
Speaker 1: I love this country. So before we get into Savage Wednesday,

10
00:00:44,159 --> 00:00:48,760
Speaker 1: we've got Savage Rich Barris on deck, the director of

11
00:00:48,920 --> 00:00:52,479
Speaker 1: Big Data poll and the host of a great show

12
00:00:52,680 --> 00:00:56,680
Speaker 1: on Rumble called Inside the Numbers. He's gonna help us

13
00:00:56,720 --> 00:01:00,920
Speaker 1: break down what happened during the debate last night. And

14
00:01:01,000 --> 00:01:06,479
Speaker 1: if you follow Savage Rich Barris on Twitter or X again,

15
00:01:06,680 --> 00:01:08,120
Speaker 1: I don't know what the hell to call it now,

16
00:01:08,520 --> 00:01:10,839
Speaker 1: but if you follow him on Twitter, you could tell

17
00:01:11,480 --> 00:01:18,920
Speaker 1: that Savage Rich was particularly savage last night on X

18
00:01:19,480 --> 00:01:21,600
Speaker 1: as the debate was going on. So I can't wait

19
00:01:21,720 --> 00:01:25,760
Speaker 1: to hear about that and discuss the debate with Savage Rich,

20
00:01:25,800 --> 00:01:28,840
Speaker 1: and not just the debate breakdown. What I like to

21
00:01:28,920 --> 00:01:31,440
Speaker 1: do for all of you is give you a sense

22
00:01:31,440 --> 00:01:34,720
Speaker 1: of where the American people are right now and what

23
00:01:34,880 --> 00:01:38,559
Speaker 1: this race looks like today moving forward. So we'll react

24
00:01:38,600 --> 00:01:41,400
Speaker 1: to debate. We'll talk about the debate, but I also

25
00:01:41,440 --> 00:01:43,560
Speaker 1: want to do something that's a little bit forward looking

26
00:01:43,600 --> 00:01:45,720
Speaker 1: for you as well, because that's just what I try

27
00:01:45,720 --> 00:01:48,480
Speaker 1: to do. Before I get in too much to the show.

28
00:01:48,560 --> 00:01:52,160
Speaker 1: Make sure you smash that like button, that little green

29
00:01:52,200 --> 00:01:55,400
Speaker 1: thumb beneath the video. We have been making the leaderboard

30
00:01:55,880 --> 00:01:58,680
Speaker 1: on Rumble and the top fifty shows on Rumble, which

31
00:01:58,720 --> 00:02:03,200
Speaker 1: is amazing estimate to you. This show is yours. It

32
00:02:03,320 --> 00:02:07,640
Speaker 1: always will be, you know, Small You know the battle Crew,

33
00:02:07,760 --> 00:02:11,720
Speaker 1: Parnell's Platoon. We're not quite to where Bongino Army is

34
00:02:12,160 --> 00:02:14,560
Speaker 1: yet and probably won't be for quite some time, but

35
00:02:14,639 --> 00:02:17,560
Speaker 1: we got ourselves a little platoon and we're certainly happy

36
00:02:17,639 --> 00:02:21,760
Speaker 1: about that. Before I get into all of this, folks

37
00:02:22,040 --> 00:02:28,000
Speaker 1: and the politics of the day, please allow me to

38
00:02:28,080 --> 00:02:30,840
Speaker 1: spend a little bit of time on the twenty third

39
00:02:31,680 --> 00:02:41,720
Speaker 1: anniversary of September eleventh. You know, after twenty three years,

40
00:02:41,720 --> 00:02:43,920
Speaker 1: you think it would be easier for me, and I

41
00:02:43,919 --> 00:02:46,880
Speaker 1: don't know where you all are on this, but I

42
00:02:46,919 --> 00:02:51,919
Speaker 1: know that you likely remember exactly where you were, what

43
00:02:52,000 --> 00:02:54,320
Speaker 1: you were wearing, what you had for breakfast, who you

44
00:02:54,400 --> 00:02:57,640
Speaker 1: had conversations with, what the weather was like, what you

45
00:02:57,720 --> 00:03:04,600
Speaker 1: did that day. We all do. And for me, you know,

46
00:03:04,680 --> 00:03:06,560
Speaker 1: I think I've told many of you all my story

47
00:03:06,680 --> 00:03:10,440
Speaker 1: before about my day, what my day was like on

48
00:03:10,480 --> 00:03:13,040
Speaker 1: September eleventh, But for the we've got lots of new viewers,

49
00:03:13,080 --> 00:03:16,440
Speaker 1: I'll just tell you. You know, I was a sophomore

50
00:03:16,600 --> 00:03:20,639
Speaker 1: and a small college in western Pennsylvania called Clarion University.

51
00:03:20,760 --> 00:03:22,680
Speaker 1: I had no idea what I wanted to do with

52
00:03:22,720 --> 00:03:26,160
Speaker 1: my life none. I was an average student, barely a

53
00:03:26,160 --> 00:03:30,240
Speaker 1: best student, probably drank too much, was very listless, didn't

54
00:03:30,280 --> 00:03:32,840
Speaker 1: really have a mission. Felt like I was meandering my

55
00:03:32,880 --> 00:03:35,680
Speaker 1: way through life. And then I remember waking up with

56
00:03:35,880 --> 00:03:41,640
Speaker 1: a hangover on this rundown college couch in this run

57
00:03:41,680 --> 00:03:44,840
Speaker 1: down college apartment, and I remember sitting up in the

58
00:03:44,840 --> 00:03:47,840
Speaker 1: world was spinning and staggering over to the television set

59
00:03:47,880 --> 00:03:50,080
Speaker 1: and turning it on and watching it flicker to life,

60
00:03:50,160 --> 00:03:52,200
Speaker 1: just in time to see an airplane crash into the

61
00:03:52,200 --> 00:03:56,080
Speaker 1: World Trade Center. And in that moment, I was really scared.

62
00:03:56,160 --> 00:03:59,240
Speaker 1: I was shaken to my core. I was afraid I

63
00:03:59,360 --> 00:04:03,040
Speaker 1: was even more than those things that I was angry,

64
00:04:04,160 --> 00:04:08,920
Speaker 1: and looking back on that time, I had just had

65
00:04:08,920 --> 00:04:13,520
Speaker 1: a conversation with my friends college buddies the night before

66
00:04:13,640 --> 00:04:17,280
Speaker 1: about how my generation grew up in the eighties, at

67
00:04:17,279 --> 00:04:20,840
Speaker 1: our childhood during the eighties and teenage years in the nineties,

68
00:04:21,040 --> 00:04:24,599
Speaker 1: we didn't really have anything that tested us as a

69
00:04:24,680 --> 00:04:28,839
Speaker 1: generation of young men. And we all discussed that the

70
00:04:29,000 --> 00:04:33,400
Speaker 1: night before, and then September eleventh happens, and I'm watching

71
00:04:33,520 --> 00:04:36,159
Speaker 1: all of this unfold on our television set, and the

72
00:04:36,200 --> 00:04:41,839
Speaker 1: towers collapsing and people jumping from the windows to their deaths.

73
00:04:42,520 --> 00:04:45,279
Speaker 1: I remember people staggering out of the wreckage, covered from

74
00:04:45,279 --> 00:04:47,160
Speaker 1: head to toe and thick gray soot. Only thing you

75
00:04:47,160 --> 00:04:49,640
Speaker 1: could see your bloodshot eyes and a thousand yards stare.

76
00:04:50,560 --> 00:04:57,720
Speaker 1: But to this day, what I remember the most were

77
00:04:57,800 --> 00:05:02,799
Speaker 1: the first responders, police officers and firefighters or beat cops,

78
00:05:02,880 --> 00:05:06,600
Speaker 1: people who ran to flames and ran into flames instead

79
00:05:06,600 --> 00:05:09,960
Speaker 1: of running away from them. And take it from me,

80
00:05:10,160 --> 00:05:12,440
Speaker 1: you know a lot of the men that I served

81
00:05:12,440 --> 00:05:16,440
Speaker 1: with in the infantry in Afghanistan were people who I mean,

82
00:05:16,440 --> 00:05:19,560
Speaker 1: you grew up on a farm, spent their life outside hunting.

83
00:05:19,880 --> 00:05:23,080
Speaker 1: I mean, I was an outdoorsy type kid, but I

84
00:05:23,080 --> 00:05:25,280
Speaker 1: couldn't hold a candle to some of the people that

85
00:05:25,320 --> 00:05:31,240
Speaker 1: were in my platoon. They these people were true outdoorsmen.

86
00:05:32,160 --> 00:05:34,640
Speaker 1: I was just a city kid from western Pennsylvania. I

87
00:05:34,640 --> 00:05:37,640
Speaker 1: didn't come from a long line of military generals or

88
00:05:37,960 --> 00:05:41,080
Speaker 1: senior non commissioned officers or military leaders in my family

89
00:05:41,160 --> 00:05:46,640
Speaker 1: at all. I was just a kid from western Pennsylvania

90
00:05:46,720 --> 00:05:50,800
Speaker 1: that was righteously pissed off in the wake of the

91
00:05:50,800 --> 00:05:56,600
Speaker 1: worst terrorist attack in our nation's history. And last night,

92
00:05:56,680 --> 00:05:58,680
Speaker 1: during the debate, and again we'll get into the debate

93
00:05:58,720 --> 00:06:03,120
Speaker 1: here in a little bit with Savage Rich. Last night,

94
00:06:03,200 --> 00:06:08,120
Speaker 1: Kamala Harris said that the January sixth protest was worse

95
00:06:08,440 --> 00:06:12,120
Speaker 1: than nine to eleven. And she did that on the

96
00:06:12,160 --> 00:06:21,200
Speaker 1: eve of September eleventh. In any other election cycle, one

97
00:06:21,200 --> 00:06:26,600
Speaker 1: would think that would be disqualifying. As I was on

98
00:06:26,640 --> 00:06:32,400
Speaker 1: the road this morning taking my son to school. And

99
00:06:32,440 --> 00:06:35,240
Speaker 1: as you get older, and as your kids grow, and

100
00:06:36,680 --> 00:06:39,440
Speaker 1: as you encounter challenges and raising your kids, you know,

101
00:06:39,560 --> 00:06:42,080
Speaker 1: being a father, being a mother, and being a grandparent,

102
00:06:42,120 --> 00:06:44,240
Speaker 1: I'm sure as an experience in and of itself, but

103
00:06:45,720 --> 00:06:48,080
Speaker 1: life teaches you little things along the way. As I

104
00:06:48,160 --> 00:06:50,920
Speaker 1: mentioned earlier in the week, kids don't come with a handbook,

105
00:06:52,480 --> 00:06:54,600
Speaker 1: you know, And you look at nine to eleven in

106
00:06:54,680 --> 00:06:57,599
Speaker 1: these terrorist attacks and how it galvanized the generation to

107
00:06:57,640 --> 00:07:01,719
Speaker 1: serve this country. People went to war in Afghanistan first,

108
00:07:01,760 --> 00:07:05,160
Speaker 1: then Iraq. I've mentioned many times on this show exactly

109
00:07:05,200 --> 00:07:09,520
Speaker 1: how I feel about this endless state of war America

110
00:07:09,640 --> 00:07:15,080
Speaker 1: finds ourselves in look back over the last twenty year

111
00:07:15,160 --> 00:07:17,160
Speaker 1: war in Iraq, war in Afghanistan. What do we have

112
00:07:17,200 --> 00:07:19,160
Speaker 1: to show for it? Do I think it was worth it?

113
00:07:19,840 --> 00:07:23,680
Speaker 1: Absolutely not, having lost thirty of my friends fighting in

114
00:07:23,720 --> 00:07:26,640
Speaker 1: the war in Afghanistan because my battalion we would deploy

115
00:07:26,680 --> 00:07:30,120
Speaker 1: to Afghanistan, come home, deploy to Afghanistan, come home, deployed

116
00:07:30,120 --> 00:07:33,480
Speaker 1: it and so lost a lot of my buddies over there,

117
00:07:33,880 --> 00:07:37,240
Speaker 1: thirty of them. And I talked to Commander Melanie, my wife,

118
00:07:37,280 --> 00:07:39,200
Speaker 1: about this all the time, and I say to her

119
00:07:39,280 --> 00:07:44,520
Speaker 1: sometimes it's hard to it seems surreal even to me

120
00:07:45,840 --> 00:07:48,320
Speaker 1: that I've lost so many people that I love dearly

121
00:07:49,520 --> 00:07:51,800
Speaker 1: in support of a war in Afghanistan where we have

122
00:07:51,880 --> 00:07:54,600
Speaker 1: nothing to show for it now. And don't get me

123
00:07:54,640 --> 00:07:56,679
Speaker 1: wrong for a second, you know how I feel about

124
00:07:56,680 --> 00:07:59,440
Speaker 1: these wars. But don't get me wrong, I'm very proud

125
00:07:59,520 --> 00:08:03,800
Speaker 1: of my so nervis there. I'm very proud of my soldiers,

126
00:08:03,880 --> 00:08:07,360
Speaker 1: my men, my troops who fought for one another, bled

127
00:08:07,360 --> 00:08:11,920
Speaker 1: the ground red in Afghanistan. But I look at September

128
00:08:11,920 --> 00:08:15,480
Speaker 1: eleventh through the eyes of somebody who with the benefit

129
00:08:15,520 --> 00:08:19,120
Speaker 1: of hindsight, with the benefit of somebody who fought and

130
00:08:19,160 --> 00:08:23,680
Speaker 1: bled in those wars, who led men during the war

131
00:08:23,720 --> 00:08:27,800
Speaker 1: in Afghanistan, and now somebody who's in the political arena,

132
00:08:27,840 --> 00:08:31,760
Speaker 1: having run for office twice and seeing the fallout from

133
00:08:31,800 --> 00:08:37,320
Speaker 1: the terrible policy decisions, foreign policy decisions made by Democrats

134
00:08:37,320 --> 00:08:41,800
Speaker 1: and Republicans that left us with nothing to show for

135
00:08:41,840 --> 00:08:45,240
Speaker 1: the wars in Iraq and Afghanistan, but tens of thousands

136
00:08:45,240 --> 00:08:50,400
Speaker 1: of Americans wounded, hundreds of thousands of Americans suffering from

137
00:08:50,400 --> 00:08:53,320
Speaker 1: the invisible wounds of war. Come back from war. War

138
00:08:53,440 --> 00:08:57,360
Speaker 1: changes you, and then probably millions of American families who

139
00:08:57,400 --> 00:09:00,080
Speaker 1: are also struggling to deal with what it's like to

140
00:09:00,120 --> 00:09:03,400
Speaker 1: come home from war. And that's why I get personally

141
00:09:03,480 --> 00:09:08,760
Speaker 1: offended when these moron mouth breathing Democrat and Republican politicians

142
00:09:08,920 --> 00:09:12,559
Speaker 1: are so frivolous with America's sons and daughters in that. Hey, well,

143
00:09:12,640 --> 00:09:16,040
Speaker 1: let's just send American troops to Ukraine. Keep the beast there. Oh,

144
00:09:16,080 --> 00:09:18,160
Speaker 1: you know what, let's just send a destroyer group. Let's

145
00:09:18,200 --> 00:09:19,960
Speaker 1: just send a carrier group to the Middle East. It'll

146
00:09:20,000 --> 00:09:22,600
Speaker 1: be fine. Oh, who gives a shit that Russia has

147
00:09:22,679 --> 00:09:27,680
Speaker 1: nuclear weapons. I'm sure it'll be fine. We're America, after all, America.

148
00:09:27,800 --> 00:09:30,559
Speaker 1: Sons and daughters are our most precious natural resource, and

149
00:09:30,600 --> 00:09:34,600
Speaker 1: our politicians need to start freaking acting like it. And

150
00:09:34,640 --> 00:09:37,520
Speaker 1: the reason why I think nine to eleven. I started

151
00:09:37,520 --> 00:09:42,120
Speaker 1: off the conversation by saying that it hasn't gotten easier

152
00:09:43,440 --> 00:09:47,079
Speaker 1: with time for me. And what I mean by that,

153
00:09:47,160 --> 00:09:49,600
Speaker 1: I was taking my youngest to school. And I've got

154
00:09:49,640 --> 00:09:51,920
Speaker 1: five kids, in case you don't know, I've got a

155
00:09:52,000 --> 00:09:55,040
Speaker 1: senior who is seventeen and driving, I've got a fifteen

156
00:09:55,120 --> 00:09:57,160
Speaker 1: year old. I've got two thirteen year olds and eleven

157
00:09:57,240 --> 00:09:58,920
Speaker 1: year old. And I'm driving the eleven year old to

158
00:09:58,960 --> 00:10:03,040
Speaker 1: school today and we're listening to some morning show and

159
00:10:04,679 --> 00:10:07,320
Speaker 1: you know, at the time that the first plane crashed

160
00:10:07,360 --> 00:10:10,400
Speaker 1: into the World Trade Center, you know, we're on the

161
00:10:10,480 --> 00:10:12,959
Speaker 1: road taking my son to his bus stop, and they

162
00:10:12,960 --> 00:10:16,520
Speaker 1: start playing a compilation a compilation of soundbites that happened

163
00:10:16,559 --> 00:10:20,400
Speaker 1: on the morning of September eleventh, and just news anchors,

164
00:10:20,960 --> 00:10:24,160
Speaker 1: radio personalities just reacting to the horror of what was happening.

165
00:10:25,280 --> 00:10:28,160
Speaker 1: And then they started splicing in. You know, nine one

166
00:10:28,280 --> 00:10:31,280
Speaker 1: one calls firefighters on the radio and you could tell

167
00:10:31,280 --> 00:10:33,560
Speaker 1: that they're out of breath because they're storming up the steps.

168
00:10:34,280 --> 00:10:38,800
Speaker 1: And then the phone calls of family members who were

169
00:10:38,840 --> 00:10:42,239
Speaker 1: either trapped in the towers or trapped on an airplane,

170
00:10:42,280 --> 00:10:45,520
Speaker 1: knowing that they weren't going to make it. And to

171
00:10:45,520 --> 00:10:49,199
Speaker 1: this day, I struggle a lot with hearing that because

172
00:10:49,200 --> 00:10:53,080
Speaker 1: it just pisses me off so much, and knowing the

173
00:10:53,160 --> 00:10:57,560
Speaker 1: foreign policy decisions that followed nine to eleven, it's just

174
00:10:57,640 --> 00:10:59,720
Speaker 1: much more personal for me now because back then it

175
00:10:59,760 --> 00:11:02,120
Speaker 1: was like you know, and I'm sure my parents who

176
00:11:02,160 --> 00:11:04,640
Speaker 1: are listening to this probably felt a lot of the

177
00:11:04,679 --> 00:11:08,040
Speaker 1: same things that I do now. And boy, life comes

178
00:11:08,080 --> 00:11:10,560
Speaker 1: full circle in very strange ways. Yes, I know, mom

179
00:11:10,600 --> 00:11:13,040
Speaker 1: and Dad, but now you think about things differently when

180
00:11:13,080 --> 00:11:16,560
Speaker 1: you have kids. And I shuddered to think what will

181
00:11:16,600 --> 00:11:19,960
Speaker 1: happen when this country experiences and I hope it never happens,

182
00:11:20,000 --> 00:11:23,080
Speaker 1: but another September eleventh type experience where now my children

183
00:11:23,080 --> 00:11:25,760
Speaker 1: will have to be wrapped up in whatever our foreign

184
00:11:25,760 --> 00:11:29,120
Speaker 1: policy response is. But as I'm driving my son to school,

185
00:11:29,200 --> 00:11:34,480
Speaker 1: my son, who is eleven, is just listening to these

186
00:11:34,520 --> 00:11:37,160
Speaker 1: sound bites of the sounds of the day on September

187
00:11:37,160 --> 00:11:40,000
Speaker 1: eleventh in the morning, and he's just got he's just

188
00:11:40,080 --> 00:11:43,720
Speaker 1: wide eyed, he's just completely captured by it. And he

189
00:11:43,800 --> 00:11:46,480
Speaker 1: turns to me with these wide eyes and he's like, Dad,

190
00:11:46,920 --> 00:11:50,120
Speaker 1: you lived through all of this. You saw this happen.

191
00:11:50,679 --> 00:11:55,160
Speaker 1: And I said, yeah, how I saw it. That's why

192
00:11:55,200 --> 00:11:57,600
Speaker 1: I joined the military. I was inspired by the first

193
00:11:57,640 --> 00:12:01,520
Speaker 1: responders who ran into those flames that day. I thought, like,

194
00:12:01,559 --> 00:12:03,400
Speaker 1: how can I sit here or not and do nothing

195
00:12:03,440 --> 00:12:06,360
Speaker 1: while these people, you know, they're storming up the steps

196
00:12:06,360 --> 00:12:08,480
Speaker 1: of flaming buildings and many of them aren't even coming

197
00:12:08,520 --> 00:12:11,000
Speaker 1: out to hug, you know, hug their loved one. Ever again,

198
00:12:11,040 --> 00:12:15,040
Speaker 1: they didn't come out alive. And he was shocked by that.

199
00:12:15,120 --> 00:12:16,880
Speaker 1: He was just like you could tell he was just

200
00:12:17,080 --> 00:12:22,160
Speaker 1: enthralled by it. And I guess the reason why it's

201
00:12:22,520 --> 00:12:26,400
Speaker 1: difficult for me and it's still so emotionally resonant for me,

202
00:12:26,679 --> 00:12:30,839
Speaker 1: is because the benefit of hindsight looking back and seeing

203
00:12:30,880 --> 00:12:32,959
Speaker 1: that we really have nothing to show for. Yeah, we

204
00:12:33,040 --> 00:12:37,079
Speaker 1: got bin Laden, but what else do we get for?

205
00:12:37,160 --> 00:12:39,360
Speaker 1: Nine to eleven really changed the world in so many

206
00:12:39,400 --> 00:12:42,440
Speaker 1: profound ways. Minute set me on a path that I

207
00:12:42,480 --> 00:12:48,360
Speaker 1: never thought i'd walk right, join the military, go to Afghanistan,

208
00:12:48,400 --> 00:12:50,520
Speaker 1: fight it wounded, come home, broke and broke, and have

209
00:12:50,559 --> 00:12:55,120
Speaker 1: to rebuild my life. It really was an unbelievable time,

210
00:12:55,160 --> 00:12:57,360
Speaker 1: and I just I just want to make sure that

211
00:12:57,400 --> 00:13:03,560
Speaker 1: we give some time it just to like reflect, thought, prayer,

212
00:13:03,640 --> 00:13:07,160
Speaker 1: if that's your thing, whatever. Just think about the lives

213
00:13:07,160 --> 00:13:09,920
Speaker 1: that the American lives that we lost that day, you know,

214
00:13:10,000 --> 00:13:13,160
Speaker 1: say a prayer for them. Think about their families who

215
00:13:13,160 --> 00:13:15,560
Speaker 1: are now living with a permanent void in their life

216
00:13:15,600 --> 00:13:18,280
Speaker 1: because of someone that they lost that day. Think of

217
00:13:18,320 --> 00:13:21,440
Speaker 1: the American America sons and daughters who rose up to

218
00:13:21,600 --> 00:13:25,040
Speaker 1: volunteer to fight, knowing that they were going to go

219
00:13:25,120 --> 00:13:28,400
Speaker 1: to war, yet volunteered anyway. Think about them, Think about

220
00:13:28,400 --> 00:13:31,520
Speaker 1: their families, you know, think about those who never came home.

221
00:13:32,480 --> 00:13:36,040
Speaker 1: Because we can never ever forget September eleventh. We just can't.

222
00:13:36,240 --> 00:13:39,640
Speaker 1: Twenty three years later. Okay, let me take a quick

223
00:13:39,679 --> 00:13:44,720
Speaker 1: break and these uncertain times, rising crime in America's neighborhoods

224
00:13:44,800 --> 00:13:48,600
Speaker 1: endangers the safety of loved ones. Nearly fifty years ago,

225
00:13:48,840 --> 00:13:52,439
Speaker 1: with just two hundred and twenty eight dollars their entire savings,

226
00:13:52,920 --> 00:13:57,240
Speaker 1: Saber's founders set out to make the world safer today.

227
00:13:57,800 --> 00:14:01,559
Speaker 1: Saber is the number one eight in the USA pepper

228
00:14:01,600 --> 00:14:06,880
Speaker 1: spray brand, trusted by law enforcement and families across America.

229
00:14:07,400 --> 00:14:10,480
Speaker 1: As a family owned business, they understand the importance of

230
00:14:10,520 --> 00:14:16,200
Speaker 1: protecting your loved ones, introducing the Saber pepper Projectile Launcher,

231
00:14:16,640 --> 00:14:22,080
Speaker 1: a less lethal, fast loading, non recoil solution delivering powerful

232
00:14:22,120 --> 00:14:25,360
Speaker 1: stopping power up to one hundred and seventy five feet.

233
00:14:25,840 --> 00:14:29,320
Speaker 1: The real advantage even if you miss it, creates a

234
00:14:29,480 --> 00:14:34,920
Speaker 1: six foot pepper cloud causing intense sensory irritation which can

235
00:14:35,000 --> 00:14:38,360
Speaker 1: overwhelm anyone in its path, giving you and your family

236
00:14:38,400 --> 00:14:42,840
Speaker 1: the opportunity to protect yourselves and your home. But Saber

237
00:14:43,240 --> 00:14:47,400
Speaker 1: doesn't stop there. In addition to their pepper spray in

238
00:14:47,520 --> 00:14:52,600
Speaker 1: pepper gel, Saber offers stun guns for personal protection, bear

239
00:14:52,720 --> 00:14:57,200
Speaker 1: and Mountain Lion spray for outdoor adventures. They also provide

240
00:14:57,320 --> 00:15:01,560
Speaker 1: essential home security items like door security bars and door

241
00:15:01,600 --> 00:15:06,120
Speaker 1: and window alarms for securing your entry ways. Protect yourself

242
00:15:06,640 --> 00:15:10,800
Speaker 1: and your family with Sabers full range of defense sprays,

243
00:15:11,080 --> 00:15:17,680
Speaker 1: home security tools, and exclusive launcher bundles. Visit Saberradio dot com,

244
00:15:17,960 --> 00:15:21,720
Speaker 1: s a b R Radio dot com or call eight

245
00:15:21,800 --> 00:15:26,600
Speaker 1: four four eight two four safe today. That's eight four

246
00:15:26,680 --> 00:15:31,600
Speaker 1: four eight two four Safe. I got to get my

247
00:15:31,600 --> 00:15:34,200
Speaker 1: buddy Savage, Rich Barrison, who is the director of Big

248
00:15:34,280 --> 00:15:37,200
Speaker 1: Data Poll and the host of Inside the Numbers. Rich,

249
00:15:38,040 --> 00:15:42,720
Speaker 1: before we get into all of the stuff about the

250
00:15:42,760 --> 00:15:45,040
Speaker 1: debate and the politics of where the race is now,

251
00:15:45,560 --> 00:15:49,040
Speaker 1: I got to ask you, as somebody who also served

252
00:15:49,040 --> 00:15:52,040
Speaker 1: this country, where were you on nine to eleven? Tell

253
00:15:52,120 --> 00:15:53,960
Speaker 1: us your story if you don't mind.

254
00:15:54,680 --> 00:15:56,000
Speaker 2: I was living.

255
00:15:56,080 --> 00:15:57,880
Speaker 3: I mean, first of all, I lived in a neighborhood

256
00:15:57,960 --> 00:16:02,800
Speaker 3: where many people. Yeah, I'm a little bit laggy, and

257
00:16:02,800 --> 00:16:05,880
Speaker 3: I apologize about that, but uh, yeah, I lived in

258
00:16:05,960 --> 00:16:09,720
Speaker 3: a neighborhood where a lot of people. Sean worked on

259
00:16:09,880 --> 00:16:12,800
Speaker 3: either Wall Street or one of my friends, you know,

260
00:16:12,880 --> 00:16:14,120
Speaker 3: his dad was a wall streeter.

261
00:16:14,280 --> 00:16:16,160
Speaker 2: My wife's cousin was a wall streeter.

262
00:16:16,640 --> 00:16:19,640
Speaker 3: Then I had a a friend who his father was

263
00:16:19,680 --> 00:16:23,240
Speaker 3: a union electrician. So we had neighborhoods that were directly

264
00:16:23,280 --> 00:16:25,800
Speaker 3: impacted by it. I was look, I was at work

265
00:16:26,400 --> 00:16:27,200
Speaker 3: when it happened.

266
00:16:27,240 --> 00:16:28,880
Speaker 1: You could see.

267
00:16:28,520 --> 00:16:32,560
Speaker 2: If you were in that part of Jersey. Yeah, it

268
00:16:32,600 --> 00:16:35,040
Speaker 2: was atrocious. You know, most people at first thought it

269
00:16:35,080 --> 00:16:35,400
Speaker 2: was like.

270
00:16:35,400 --> 00:16:38,040
Speaker 3: Some kind of an attack, Like a lot of people

271
00:16:38,040 --> 00:16:40,600
Speaker 3: didn't know who is Sama bin Laanen was. But you

272
00:16:40,640 --> 00:16:43,160
Speaker 3: know that being said, Man, I'm listening to you, and

273
00:16:43,200 --> 00:16:45,600
Speaker 3: I'm thinking about you know what we get out of this? Sean,

274
00:16:45,720 --> 00:16:48,400
Speaker 3: all of us who decided, you know what, we're gonna

275
00:16:48,400 --> 00:16:50,560
Speaker 3: go and serve, we're gonna we're gonna go hit back.

276
00:16:50,880 --> 00:16:51,840
Speaker 2: What did we get out of this?

277
00:16:51,880 --> 00:16:58,400
Speaker 3: I would argue, we're in such a dramatically worse position, uh, everywhere,

278
00:16:58,440 --> 00:17:04,359
Speaker 3: everything from financial to freedom wise. I mean for generations

279
00:17:04,400 --> 00:17:06,320
Speaker 3: who are younger than us, they don't know what it's

280
00:17:06,359 --> 00:17:08,399
Speaker 3: like to live free. They don't know what it's like

281
00:17:08,440 --> 00:17:10,880
Speaker 3: to get on an airplane without having to go through

282
00:17:10,880 --> 00:17:13,960
Speaker 3: the TSA and deal with all of that crap. America

283
00:17:14,080 --> 00:17:16,480
Speaker 3: was a freer place. They weren't going through your metadata,

284
00:17:16,720 --> 00:17:19,240
Speaker 3: they weren't listening to every phone call that came through

285
00:17:19,480 --> 00:17:23,440
Speaker 3: the fear that they exploited using the Patriot Act. We're

286
00:17:23,480 --> 00:17:25,359
Speaker 3: in a worse place when it comes to trust in

287
00:17:25,400 --> 00:17:28,440
Speaker 3: the government. But pre nine to eleven, people trusted the government.

288
00:17:28,640 --> 00:17:31,320
Speaker 3: That's why they gave them that power. Sean, you know,

289
00:17:32,760 --> 00:17:36,000
Speaker 3: I mean, I can't so much more that I could

290
00:17:36,040 --> 00:17:37,359
Speaker 3: go on and on about.

291
00:17:37,119 --> 00:17:39,040
Speaker 2: And you know people weren't.

292
00:17:39,040 --> 00:17:41,119
Speaker 3: I mean, I would say the government they did all this,

293
00:17:41,240 --> 00:17:44,359
Speaker 3: expanded the Department of Homeland Security, we got TSA, we

294
00:17:44,520 --> 00:17:47,920
Speaker 3: got we got the ramping up of a secret surveillance

295
00:17:47,920 --> 00:17:52,679
Speaker 3: court that abuses its authority. We have agencies that are

296
00:17:52,720 --> 00:17:57,080
Speaker 3: only supposed to operate foreign you know, operating right here

297
00:17:57,080 --> 00:18:01,040
Speaker 3: at home and targeting US citizens. And they spent all

298
00:18:01,080 --> 00:18:04,360
Speaker 3: that money on that shit. But they weren't expecting us

299
00:18:04,400 --> 00:18:05,320
Speaker 3: to come back alive.

300
00:18:05,520 --> 00:18:08,240
Speaker 2: I mean that's true. Let's get real. They did nothing

301
00:18:08,280 --> 00:18:08,800
Speaker 2: for the VA.

302
00:18:08,960 --> 00:18:13,080
Speaker 3: It was in absolute shambles when everybody got home. I

303
00:18:13,119 --> 00:18:16,400
Speaker 3: have my best friend here since I moved to North

304
00:18:16,440 --> 00:18:20,280
Speaker 3: Carolina just killed himself a few weeks ago. And I

305
00:18:20,400 --> 00:18:23,640
Speaker 3: know you have friends that you've lost to this. They

306
00:18:23,680 --> 00:18:26,440
Speaker 3: were not at all prepared to deal with us. It's

307
00:18:26,480 --> 00:18:31,520
Speaker 3: the most disgusting, disgraceful betrayal that I could possibly imagine

308
00:18:31,560 --> 00:18:36,119
Speaker 3: happening to a generation of young men and women who decided,

309
00:18:36,320 --> 00:18:37,720
Speaker 3: you know what, I'm gonna step.

310
00:18:37,480 --> 00:18:43,119
Speaker 2: Them up, you know, and you know the help with

311
00:18:43,160 --> 00:18:45,920
Speaker 2: George Bush. He's the worst president of our lifetime.

312
00:18:46,960 --> 00:18:50,359
Speaker 1: It's still, you know, rich that betrayal is still happening today.

313
00:18:50,440 --> 00:18:52,120
Speaker 1: Not to get off because I would definitely we got

314
00:18:52,119 --> 00:18:54,760
Speaker 1: to talk about the debate here. But you know, I

315
00:18:54,800 --> 00:18:58,639
Speaker 1: talked to a very close friend of mine who worked

316
00:18:58,680 --> 00:19:02,000
Speaker 1: at a high level on policy, I mean talking cabinet

317
00:19:02,080 --> 00:19:06,440
Speaker 1: level type position under multiple Republican presidents, and he said,

318
00:19:06,480 --> 00:19:10,520
Speaker 1: the Biden administration has completely destroyed the VA. This is

319
00:19:10,520 --> 00:19:13,920
Speaker 1: the guy that broke the broke the story that the

320
00:19:14,040 --> 00:19:16,919
Speaker 1: VA was dolling out payments and given medical care to

321
00:19:16,960 --> 00:19:19,679
Speaker 1: illegal aliens crossing the border. He couldn't believe it, but

322
00:19:19,720 --> 00:19:22,760
Speaker 1: he broke the story. This is also the guy that

323
00:19:22,960 --> 00:19:25,679
Speaker 1: is telling me today on the phone that the Biden

324
00:19:25,680 --> 00:19:28,159
Speaker 1: administration has got a the mission to act and removed

325
00:19:28,280 --> 00:19:31,879
Speaker 1: veteran's choice from their healthcare. And it's also which is

326
00:19:31,960 --> 00:19:34,159
Speaker 1: this is going to sound crazy, but I trust this

327
00:19:34,240 --> 00:19:37,320
Speaker 1: guy with my life. Like the VA also has like

328
00:19:37,320 --> 00:19:41,480
Speaker 1: a death panels essentially where they're making medical decisions for

329
00:19:41,560 --> 00:19:43,840
Speaker 1: veter not going to get medical care because it is

330
00:19:43,880 --> 00:19:47,040
Speaker 1: probably just cheaper if you just pass away. It's just horrible.

331
00:19:47,080 --> 00:19:50,280
Speaker 1: It's just evil, and this type of shouldn't happen in America.

332
00:19:50,359 --> 00:19:51,240
Speaker 2: And you got out.

333
00:19:51,440 --> 00:19:53,800
Speaker 3: I mean, I don't know about you, but my personal

334
00:19:53,880 --> 00:19:56,480
Speaker 3: because of course, I mean, many of us have something

335
00:19:56,560 --> 00:19:59,960
Speaker 3: we get from the VA. Mine was an open shutcase.

336
00:20:00,760 --> 00:20:04,199
Speaker 3: They fought me for fifteen years. I had to you know,

337
00:20:04,280 --> 00:20:06,120
Speaker 3: I mean, it was just totally outrageous.

338
00:20:06,400 --> 00:20:09,840
Speaker 2: Only when Trump gets in office, I finally get approved.

339
00:20:10,320 --> 00:20:13,800
Speaker 2: I only have healthcare right now because you know, Obambacare,

340
00:20:13,960 --> 00:20:16,800
Speaker 2: because I'm a veteran. It boxes me out of the marketplace.

341
00:20:16,920 --> 00:20:21,480
Speaker 2: I personally cannot buy private insurance for myself. It's socks,

342
00:20:22,200 --> 00:20:24,800
Speaker 2: and so I'm stuck with the VA. And the only

343
00:20:24,880 --> 00:20:27,159
Speaker 2: reason I have what I have now is because of

344
00:20:27,200 --> 00:20:29,879
Speaker 2: Donald Trump and his community Care.

345
00:20:29,600 --> 00:20:32,240
Speaker 3: The reformations that he put in with the VA that

346
00:20:32,280 --> 00:20:35,240
Speaker 3: gave you community care, which you know, which is if

347
00:20:35,240 --> 00:20:37,520
Speaker 3: you can't get the VA to react here, they got

348
00:20:37,520 --> 00:20:38,520
Speaker 3: to pay for private care.

349
00:20:38,760 --> 00:20:40,800
Speaker 2: The problem is it's worse than an HMO.

350
00:20:41,000 --> 00:20:41,240
Speaker 1: Now.

351
00:20:41,440 --> 00:20:43,560
Speaker 2: It was fine when Trump was in office. Now it's

352
00:20:43,600 --> 00:20:46,040
Speaker 2: worse than an h MODE. If there are doctors that

353
00:20:46,119 --> 00:20:49,840
Speaker 2: you have to see routinely, like monthly, every three months,

354
00:20:49,840 --> 00:20:50,600
Speaker 2: every six months.

355
00:20:50,720 --> 00:20:53,760
Speaker 3: They are constantly making you put in a new request.

356
00:20:53,800 --> 00:20:55,760
Speaker 3: We need another referral, we need another referral, we need

357
00:20:55,760 --> 00:20:56,240
Speaker 3: another reffra.

358
00:20:56,240 --> 00:20:57,200
Speaker 1: It's outrageous.

359
00:20:57,320 --> 00:20:58,840
Speaker 2: It's a primary care doctor.

360
00:20:59,080 --> 00:21:02,080
Speaker 3: I'm paying for these expenses out of my pocket, like

361
00:21:03,080 --> 00:21:05,680
Speaker 3: eight months out of the year and then the rest

362
00:21:05,720 --> 00:21:07,240
Speaker 3: of the year waiting to get it reimbursed.

363
00:21:07,240 --> 00:21:09,080
Speaker 2: Since I moved and I've been here.

364
00:21:09,119 --> 00:21:11,240
Speaker 3: What now, we're going on our fourth year, I haven't

365
00:21:11,240 --> 00:21:14,159
Speaker 3: gotten a damn dime, not a dime. I've had to

366
00:21:14,160 --> 00:21:19,480
Speaker 3: pay for prescriptions, doctor visits, you know whatever, man shots.

367
00:21:19,640 --> 00:21:21,840
Speaker 3: I mean, you name it, out of my own pocket.

368
00:21:22,200 --> 00:21:23,200
Speaker 2: It sucks.

369
00:21:23,560 --> 00:21:26,320
Speaker 1: It's ridiculous, man, I'm sorry I have to go through that.

370
00:21:26,480 --> 00:21:31,120
Speaker 1: I mean, it shouldn't happen in America. Okay, Rich Let's

371
00:21:31,200 --> 00:21:36,159
Speaker 1: transition talking to Savage Rich barris Let's transition to debate.

372
00:21:36,160 --> 00:21:38,120
Speaker 1: I'll give you my take. I haven't talked to anybody

373
00:21:38,119 --> 00:21:40,560
Speaker 1: about it on the show yet. Like I think that

374
00:21:40,640 --> 00:21:44,800
Speaker 1: it was not Trump's best night. I also, I also

375
00:21:44,960 --> 00:21:47,200
Speaker 1: do not think and I'll tell you why here in

376
00:21:47,240 --> 00:21:51,120
Speaker 1: a second, I also do not think that Kamala did

377
00:21:51,200 --> 00:21:54,199
Speaker 1: what she needed to do to move the needle in

378
00:21:54,280 --> 00:21:58,879
Speaker 1: this race in a substantive, outcome determinative way. And the

379
00:21:59,000 --> 00:22:01,639
Speaker 1: reason for that is I've got lots of reasons for this.

380
00:22:02,119 --> 00:22:07,160
Speaker 1: But what Trump needed to do was embody change that

381
00:22:07,200 --> 00:22:09,919
Speaker 1: he you know, who cares about the top line numbers

382
00:22:09,920 --> 00:22:11,600
Speaker 1: of polls. And I know you're probably like, well, I do,

383
00:22:11,760 --> 00:22:13,200
Speaker 1: I know, and I know I do too.

384
00:22:13,960 --> 00:22:15,120
Speaker 2: More about insight?

385
00:22:17,280 --> 00:22:19,400
Speaker 1: Did there? I do see what you did there? Well

386
00:22:19,400 --> 00:22:25,080
Speaker 1: played sir, Well, So I'm just talking about the environment.

387
00:22:25,440 --> 00:22:29,320
Speaker 1: You know. My point is has always been the narrative

388
00:22:29,880 --> 00:22:32,200
Speaker 1: for this campaign for Trump is writing itself. And what

389
00:22:32,240 --> 00:22:35,680
Speaker 1: I mean by that is that people are feeling the

390
00:22:35,720 --> 00:22:37,879
Speaker 1: heat where it matters most of them. That's in their

391
00:22:37,920 --> 00:22:41,159
Speaker 1: bank account, that's in their pocketbook. You're they're being crushed

392
00:22:41,160 --> 00:22:44,240
Speaker 1: by inflation. You know, every town is a border town.

393
00:22:44,320 --> 00:22:46,639
Speaker 1: Like what's reflected in polling is like something like the

394
00:22:46,640 --> 00:22:51,399
Speaker 1: top three issues economy, inflation, the immigration somewhere among the

395
00:22:51,400 --> 00:22:54,480
Speaker 1: top three. So in many ways, people feel that now

396
00:22:54,520 --> 00:22:57,240
Speaker 1: in a very personal way. And all Trump has to

397
00:22:57,280 --> 00:23:00,200
Speaker 1: do is just talk about it, you know, talk about

398
00:23:00,240 --> 00:23:03,879
Speaker 1: the people. So he needed to be that agent of change.

399
00:23:05,320 --> 00:23:09,160
Speaker 1: Kamala needed to show the American people last night, how

400
00:23:09,200 --> 00:23:12,320
Speaker 1: she was going to be different from Biden and all

401
00:23:12,359 --> 00:23:14,919
Speaker 1: the fluff. You know, she look man, she talks like

402
00:23:14,920 --> 00:23:17,920
Speaker 1: a politician, right, and and this is this is the thing.

403
00:23:17,960 --> 00:23:20,200
Speaker 2: I think she has never really been anything else.

404
00:23:20,400 --> 00:23:23,000
Speaker 1: Yeah, she talks like a politician. She's got these like nice,

405
00:23:23,040 --> 00:23:26,720
Speaker 1: polished gre words that really like she talks and it

406
00:23:26,920 --> 00:23:29,800
Speaker 1: sounds nice. But she didn't really say anything, right, And

407
00:23:29,840 --> 00:23:32,720
Speaker 1: she just lied up there quite a bit. But she

408
00:23:32,720 --> 00:23:36,360
Speaker 1: she couldn't answer the question, the very basic question of

409
00:23:36,440 --> 00:23:39,640
Speaker 1: our Americans better off today than they were four years ago.

410
00:23:39,720 --> 00:23:43,000
Speaker 1: She could not answer the question rich and I think

411
00:23:43,040 --> 00:23:45,480
Speaker 1: therefore she wasn't able to prosecute the case of the

412
00:23:45,480 --> 00:23:48,800
Speaker 1: American people of why she's going to be different than

413
00:23:48,880 --> 00:23:53,360
Speaker 1: Biden and also what she did the whole time. Now, Yes,

414
00:23:53,680 --> 00:23:56,800
Speaker 1: Trump took debate in some ways that were probably not helpful.

415
00:23:56,920 --> 00:23:59,719
Speaker 1: One example was the rally size. Melanie and I are

416
00:23:59,760 --> 00:24:03,800
Speaker 1: why the debate. She looks at me, I look at her,

417
00:24:03,880 --> 00:24:07,119
Speaker 1: and we both start laughing because we knew. We knew

418
00:24:07,160 --> 00:24:10,680
Speaker 1: that Trump was debate on the rally side thing. We

419
00:24:10,760 --> 00:24:12,320
Speaker 1: knew it, we knew he was gonna do it, and

420
00:24:12,359 --> 00:24:15,159
Speaker 1: sure enough he did. We were like, no, but he

421
00:24:15,200 --> 00:24:18,720
Speaker 1: took debate anyway. But my point is all she did

422
00:24:18,880 --> 00:24:23,040
Speaker 1: was a she attacked Donald Trump, and she personally insulted him.

423
00:24:23,240 --> 00:24:26,440
Speaker 1: She tried to demean him, she tried to emasculate him.

424
00:24:26,840 --> 00:24:30,880
Speaker 1: And I look, man, my perspective on this is that

425
00:24:31,400 --> 00:24:35,399
Speaker 1: there are not a lot of undecided voters left in

426
00:24:35,480 --> 00:24:39,240
Speaker 1: this country. I mean, I just think, like, if if

427
00:24:39,280 --> 00:24:43,200
Speaker 1: you are an independent watching that debate last night, Trump

428
00:24:43,280 --> 00:24:46,760
Speaker 1: said nothing on that stage that the independence or the

429
00:24:46,800 --> 00:24:51,840
Speaker 1: American people have not heard before. Kamala, on the other hand,

430
00:24:52,119 --> 00:24:57,240
Speaker 1: did a lot of unpleasant things. And man, those facial expressions. Yeah,

431
00:24:57,480 --> 00:25:01,280
Speaker 1: I'm telling you, bro, this is she's going like this, Bro,

432
00:25:01,400 --> 00:25:05,440
Speaker 1: She's going like this rich She's like like who does this?

433
00:25:06,200 --> 00:25:09,040
Speaker 1: Like who stands there? And like she's like making these faces.

434
00:25:09,119 --> 00:25:12,160
Speaker 1: But it's telling you, yeah, I'm not it's not gonna

435
00:25:12,160 --> 00:25:15,200
Speaker 1: play well. And I just think that the story of

436
00:25:15,240 --> 00:25:18,600
Speaker 1: the debate, obviously everyone's talking about it are the moderators.

437
00:25:18,760 --> 00:25:20,679
Speaker 1: And yeah, there are people out there saying it's a

438
00:25:20,720 --> 00:25:23,359
Speaker 1: loser's game to complain about the moderators. That feels like

439
00:25:23,359 --> 00:25:26,080
Speaker 1: Trump lost, But like, I don't think that's Like I

440
00:25:26,440 --> 00:25:31,440
Speaker 1: disagree because the American people, they sense it right. More

441
00:25:31,480 --> 00:25:34,120
Speaker 1: people are paying attention now than ever than they ever

442
00:25:34,160 --> 00:25:37,040
Speaker 1: have before. The American people are coming off a situation

443
00:25:37,400 --> 00:25:40,120
Speaker 1: where the media lied to them, clearly lied to them

444
00:25:40,200 --> 00:25:43,560
Speaker 1: about the state of Biden's cognitive yes man, yeah, And

445
00:25:43,600 --> 00:25:47,399
Speaker 1: so they see that the moderators were insanely biased. And

446
00:25:47,440 --> 00:25:50,320
Speaker 1: I think the story of the debate moving forward, Rich

447
00:25:50,760 --> 00:25:54,200
Speaker 1: is gonna be less about substance of Kamala, less about Trump,

448
00:25:54,240 --> 00:25:56,960
Speaker 1: and more about just how much the moderator sucked. Much

449
00:25:57,119 --> 00:25:59,760
Speaker 1: like the refs watching a play call in a playoff

450
00:25:59,760 --> 00:26:01,880
Speaker 1: game that that gave the game to the other team,

451
00:26:02,280 --> 00:26:04,720
Speaker 1: the story of the game becomes the blown call, not

452
00:26:04,840 --> 00:26:07,640
Speaker 1: the actual game itself. And that's where I'm at here.

453
00:26:07,680 --> 00:26:10,120
Speaker 1: And that's why I think that the that the these

454
00:26:10,119 --> 00:26:13,439
Speaker 1: focus groups Rich, That's why I think that the focus

455
00:26:13,520 --> 00:26:18,119
Speaker 1: groups like are breaking Trump strangely enough. So you, on

456
00:26:18,160 --> 00:26:21,359
Speaker 1: the other hand, so that I talked a lot, and

457
00:26:21,440 --> 00:26:23,919
Speaker 1: normally when I have you on, I don't like to

458
00:26:23,960 --> 00:26:25,320
Speaker 1: do that. I just like to listen to you.

459
00:26:26,160 --> 00:26:31,879
Speaker 2: That was good for once, right, Hey, is that Laura

460
00:26:31,920 --> 00:26:32,320
Speaker 2: over there?

461
00:26:32,480 --> 00:26:32,760
Speaker 1: It is?

462
00:26:32,840 --> 00:26:34,679
Speaker 2: I told you he's gonna get on camera.

463
00:26:34,760 --> 00:26:37,399
Speaker 1: Woman, get on camera. She won't do it.

464
00:26:37,440 --> 00:26:37,880
Speaker 2: I've tried.

465
00:26:38,080 --> 00:26:40,439
Speaker 1: Or you had a little glitzy wrist, you had jewelry

466
00:26:40,520 --> 00:26:41,000
Speaker 1: on the wrist and.

467
00:26:41,040 --> 00:26:42,679
Speaker 2: Every seaton your little fingernail.

468
00:26:42,920 --> 00:26:44,879
Speaker 1: This is like you know what this is like. This

469
00:26:45,000 --> 00:26:47,320
Speaker 1: is like if you watched Inspector Gadget as a kid,

470
00:26:47,520 --> 00:26:50,280
Speaker 1: like doctor Claw with just a hand. This is not there.

471
00:26:51,880 --> 00:26:55,040
Speaker 1: We always wanted to see doctor Claw's face. Now we

472
00:26:55,080 --> 00:27:00,640
Speaker 1: can't see Laura's. This is this is ridiculous. You're Wilson.

473
00:27:02,880 --> 00:27:06,000
Speaker 4: Is that Wilson, right, Wilson, Yeah, Wilson, Yeah, yeah, yeah,

474
00:27:06,080 --> 00:27:11,320
Speaker 4: of course recently died not I think, right, So Jane

475
00:27:11,320 --> 00:27:12,960
Speaker 4: Cyril Jones died the other day.

476
00:27:13,160 --> 00:27:15,760
Speaker 1: Yeah, don't come at me with any more downers. All right,

477
00:27:15,800 --> 00:27:19,359
Speaker 1: we need to know, you know, listen, so tell me

478
00:27:19,400 --> 00:27:21,439
Speaker 1: what you thought. Tell me, because listen, listen, let me.

479
00:27:21,520 --> 00:27:24,720
Speaker 1: Let's lay this up for the audience. You were very,

480
00:27:24,880 --> 00:27:28,359
Speaker 1: very very fired up last night during that debate, and

481
00:27:28,400 --> 00:27:30,880
Speaker 1: you and I were texting. You were very upset.

482
00:27:31,160 --> 00:27:36,240
Speaker 3: So, I mean, listen, I don't know why anyone asked

483
00:27:36,320 --> 00:27:38,720
Speaker 3: you your opinion if they're just not going to take

484
00:27:38,760 --> 00:27:41,399
Speaker 3: the damn advice anyway. So, like you know, it really

485
00:27:41,440 --> 00:27:46,200
Speaker 3: bothers me when people and donors and campaign people like oh,

486
00:27:46,720 --> 00:27:49,280
Speaker 3: and then it's like they're surprised when what I say

487
00:27:49,400 --> 00:27:50,320
Speaker 3: comes to fruition.

488
00:27:51,400 --> 00:27:53,800
Speaker 2: It just nothing can be more frustrating.

489
00:27:54,160 --> 00:27:56,840
Speaker 3: First of all, let me just preface everything I'm about

490
00:27:56,840 --> 00:27:58,560
Speaker 3: to say with what I've been prefacing everything.

491
00:27:58,560 --> 00:28:02,240
Speaker 2: But today he did not need to do this debate.

492
00:28:02,400 --> 00:28:03,880
Speaker 2: He had the momentum.

493
00:28:03,480 --> 00:28:06,040
Speaker 3: Again and he didn't need to do it. He could

494
00:28:06,080 --> 00:28:09,320
Speaker 3: have won the debate without even debating, and simply saying

495
00:28:09,600 --> 00:28:13,600
Speaker 3: something along the lines of I already debated the legitimate

496
00:28:13,720 --> 00:28:17,840
Speaker 3: democratic nominee. I will not lend leed a credibility to

497
00:28:17,960 --> 00:28:21,639
Speaker 3: an illegitimate process and lend credibility to a process that

498
00:28:21,800 --> 00:28:26,240
Speaker 3: disenfranchised nearly fifteen million voters who voted for the legitimate

499
00:28:26,280 --> 00:28:28,719
Speaker 3: nominee and sitting President Joe Biden.

500
00:28:29,000 --> 00:28:31,840
Speaker 2: She is a usurper and that is it.

501
00:28:32,040 --> 00:28:34,840
Speaker 3: And I am not going to partake in the disruption

502
00:28:34,960 --> 00:28:38,960
Speaker 3: and destruction of our democracy, end of story. I will

503
00:28:38,960 --> 00:28:42,960
Speaker 3: defend the fifteen million people whose votes Democrats wiped their

504
00:28:43,000 --> 00:28:46,360
Speaker 3: asses with and plugged down the toilet, and that would

505
00:28:46,360 --> 00:28:50,200
Speaker 3: have been a home run. I guarantee you even some

506
00:28:50,240 --> 00:28:52,480
Speaker 3: of those people who voted for Minden would have been like, damn,

507
00:28:52,480 --> 00:28:54,720
Speaker 3: he's right, you know, like nobody's brought it up.

508
00:28:55,000 --> 00:28:57,600
Speaker 2: The media sure has not even brought it up.

509
00:28:57,720 --> 00:28:59,480
Speaker 3: It would have told those people in the middle that

510
00:28:59,480 --> 00:29:01,960
Speaker 3: Trump is a bigger man who cares about bigger things

511
00:29:02,280 --> 00:29:06,600
Speaker 3: than debating rally sizes, which is what they wanted him

512
00:29:06,640 --> 00:29:08,800
Speaker 3: to do, and he did. So let's make something very

513
00:29:08,840 --> 00:29:10,520
Speaker 3: clear right now. I'm gonna break a lot of Trump

514
00:29:10,880 --> 00:29:13,360
Speaker 3: Trump her hearts out there. Donald Trump is not the

515
00:29:13,360 --> 00:29:17,120
Speaker 3: great debater that you think he is. He's entertaining as hell,

516
00:29:17,400 --> 00:29:19,880
Speaker 3: but he is not a great debater, all right. He

517
00:29:19,960 --> 00:29:21,960
Speaker 3: goes up there, I could get under his skin in

518
00:29:22,000 --> 00:29:24,440
Speaker 3: a second and make him flip his shit, all right.

519
00:29:24,520 --> 00:29:28,280
Speaker 3: He is not a composed great debater, and he they

520
00:29:28,480 --> 00:29:30,760
Speaker 3: got him to do exactly what they wanted him to,

521
00:29:31,120 --> 00:29:33,760
Speaker 3: all right. That being said, he certainly was still better

522
00:29:33,800 --> 00:29:37,520
Speaker 3: than like good bide in Trump debate one, the first one.

523
00:29:37,960 --> 00:29:40,239
Speaker 1: Yeah, that's so glad that you brought that up.

524
00:29:40,320 --> 00:29:41,000
Speaker 2: Certainly better.

525
00:29:41,040 --> 00:29:43,240
Speaker 3: It was not that kind of a train wreck, Sean,

526
00:29:43,440 --> 00:29:45,600
Speaker 3: all right, but he shouldn't have been there to begin with.

527
00:29:45,800 --> 00:29:46,520
Speaker 2: Let's be real.

528
00:29:47,040 --> 00:29:51,120
Speaker 3: Secondly, you are one hundred percent correct that she needed

529
00:29:51,160 --> 00:29:52,360
Speaker 3: a much bigger night than this.

530
00:29:52,520 --> 00:29:55,040
Speaker 2: Let's cut the crap. She's down in her own polling

531
00:29:55,400 --> 00:29:58,720
Speaker 2: Democrats who know you know who really are in the know.

532
00:29:58,920 --> 00:30:01,200
Speaker 3: The show is for you foaks at home all right

533
00:30:01,320 --> 00:30:04,200
Speaker 3: in the real behind closed doors, in the real world.

534
00:30:04,400 --> 00:30:07,320
Speaker 3: Democrats began to panic like crazy about a week and

535
00:30:07,320 --> 00:30:12,160
Speaker 3: a half ago because her response bias fuel lead began

536
00:30:12,240 --> 00:30:15,840
Speaker 3: to evaporate quickly. Minnesota went from ten points to five.

537
00:30:16,160 --> 00:30:19,080
Speaker 3: She's down in not only her own poll in Michigan,

538
00:30:19,320 --> 00:30:23,880
Speaker 3: but in the two native posters who media and everyone

539
00:30:24,000 --> 00:30:28,080
Speaker 3: go to every year, Glenn Garrev Group and Epic MRA.

540
00:30:28,800 --> 00:30:31,200
Speaker 3: And by the way, neither Polster ever had Trump up

541
00:30:31,200 --> 00:30:33,880
Speaker 3: in Michigan in either sixteen or twenty.

542
00:30:34,120 --> 00:30:36,440
Speaker 2: So that was the that was the state of the

543
00:30:36,520 --> 00:30:37,720
Speaker 2: race going into this thing.

544
00:30:37,840 --> 00:30:39,800
Speaker 3: So I don't understand why he just didn't lay out

545
00:30:39,800 --> 00:30:41,840
Speaker 3: what I just said and what I said to layout

546
00:30:42,040 --> 00:30:44,840
Speaker 3: and move on. So here we are now fast forward.

547
00:30:45,080 --> 00:30:49,200
Speaker 3: I understand you know what you said about the media.

548
00:30:49,520 --> 00:30:52,080
Speaker 3: I just don't like people who lament it after the

549
00:30:52,160 --> 00:30:56,080
Speaker 3: fact and then don't say anything or speak up before

550
00:30:56,320 --> 00:30:59,320
Speaker 3: you make a mistake like Trump's campaign made. All right,

551
00:30:59,400 --> 00:31:01,880
Speaker 3: So like I'm I'm all alone going don't debate her.

552
00:31:01,960 --> 00:31:03,400
Speaker 3: This is buld, This is a trap.

553
00:31:03,680 --> 00:31:04,280
Speaker 1: Don't do it.

554
00:31:04,280 --> 00:31:06,920
Speaker 3: It's David mrr, the head of NBC, the head of

555
00:31:06,960 --> 00:31:11,120
Speaker 3: ABC is personal friends with Kamala Harris. She's married because

556
00:31:11,160 --> 00:31:14,600
Speaker 3: they introduced her husband, I mean her to her husband

557
00:31:14,640 --> 00:31:18,280
Speaker 3: like it's an incestuous relationship. These are totally corrupt people,

558
00:31:18,600 --> 00:31:21,360
Speaker 3: and you are falling for it. It doesn't matter how

559
00:31:21,400 --> 00:31:24,240
Speaker 3: well he may think he did. They were looking for

560
00:31:24,600 --> 00:31:27,160
Speaker 3: a jut what they got last night so they can

561
00:31:27,200 --> 00:31:30,160
Speaker 3: push a BS narrative, which will then they can use

562
00:31:30,360 --> 00:31:33,360
Speaker 3: to exploit the response bias and the polls and put

563
00:31:33,400 --> 00:31:35,720
Speaker 3: out their Harris plus two to five's and everything else

564
00:31:35,880 --> 00:31:37,720
Speaker 3: for the next six weeks, which we're all gonna have

565
00:31:37,720 --> 00:31:38,640
Speaker 3: to tolerate now.

566
00:31:38,880 --> 00:31:42,320
Speaker 2: But here's the kicker. With all that being said, I'm

567
00:31:42,360 --> 00:31:45,680
Speaker 2: a little bit surprised because I'm starting to dig into

568
00:31:45,680 --> 00:31:46,520
Speaker 2: the numbers.

569
00:31:46,160 --> 00:31:48,000
Speaker 3: And give it a couple of days, so everything we

570
00:31:48,080 --> 00:31:50,040
Speaker 3: really know for sure. You know, you have the Ruders'

571
00:31:50,080 --> 00:31:53,360
Speaker 3: focus group that is a small sample size. Ours really

572
00:31:53,480 --> 00:31:56,720
Speaker 3: is not, and we're still working on it, but there aren't.

573
00:31:56,760 --> 00:31:59,640
Speaker 3: If Ruters isn't alone, there have been many other focus

574
00:31:59,720 --> 00:32:04,000
Speaker 3: group from media outlets to personal consultants and they're all

575
00:32:04,040 --> 00:32:05,040
Speaker 3: hearing the same thing.

576
00:32:05,080 --> 00:32:08,600
Speaker 2: It's the headline in the New York Times right now. Yeah,

577
00:32:08,680 --> 00:32:10,440
Speaker 2: belwegh pundits, Yeah.

578
00:32:11,720 --> 00:32:15,200
Speaker 1: Und say Harris one debate, undecided weren't so sure. Let

579
00:32:15,240 --> 00:32:18,640
Speaker 1: me read the routers you have here, some undecided voters

580
00:32:19,000 --> 00:32:21,440
Speaker 1: not convinced by Harris after debat.

581
00:32:22,440 --> 00:32:25,880
Speaker 3: Two to one, and that that's funny because their samples

582
00:32:25,960 --> 00:32:29,080
Speaker 3: so small. But their sample looks like our sample, which

583
00:32:29,120 --> 00:32:31,360
Speaker 3: we will show everybody on Friday, and so the numbers

584
00:32:31,520 --> 00:32:33,720
Speaker 3: and our sample is not small, all right. We had

585
00:32:33,720 --> 00:32:36,680
Speaker 3: several hundred people who were undecided from the last poll

586
00:32:36,720 --> 00:32:38,680
Speaker 3: that we conducted, and we asked them, are you going

587
00:32:38,720 --> 00:32:42,080
Speaker 3: to watch the debate? Eighty eight percent about just under said.

588
00:32:41,880 --> 00:32:43,560
Speaker 2: They were going to watch it. I don't believe it

589
00:32:43,600 --> 00:32:44,360
Speaker 2: and didn't believe it.

590
00:32:44,400 --> 00:32:46,959
Speaker 3: We'll see if they actually did, all right, But we

591
00:32:47,000 --> 00:32:49,800
Speaker 3: asked them if they did, if they were undecided leaning

592
00:32:50,040 --> 00:32:52,120
Speaker 3: and they were going to watch the debate, we said, hey,

593
00:32:52,160 --> 00:32:54,400
Speaker 3: can we contact you the day after the debate and

594
00:32:54,480 --> 00:32:57,160
Speaker 3: ask you a few questions. And we're getting these results now,

595
00:32:57,200 --> 00:33:00,160
Speaker 3: and by the time of the show this afternoon, I'd

596
00:33:00,200 --> 00:33:02,320
Speaker 3: already see that our focus like whatever you want to

597
00:33:02,360 --> 00:33:05,760
Speaker 3: call it post debate focus poll is looking a lot

598
00:33:05,800 --> 00:33:06,440
Speaker 3: like Reuters.

599
00:33:06,480 --> 00:33:08,520
Speaker 2: This is what I want to read. Two things, one

600
00:33:08,520 --> 00:33:10,880
Speaker 2: from mine, one from Reuters. If you don't mind, all right,

601
00:33:10,960 --> 00:33:12,720
Speaker 2: don't find no go go ahead Reuters.

602
00:33:12,720 --> 00:33:15,200
Speaker 3: And I didn't get a permission to release a name,

603
00:33:15,600 --> 00:33:17,280
Speaker 3: but I'll read what's going on, all right.

604
00:33:17,320 --> 00:33:20,080
Speaker 2: But Reuters obviously did. Robert Wheeler forty eight.

605
00:33:20,080 --> 00:33:23,760
Speaker 3: A security firm executive in Nevada, was leaning toward Harris. So,

606
00:33:24,000 --> 00:33:26,160
Speaker 3: in other words, in the poll, when they say I'm

607
00:33:26,200 --> 00:33:29,720
Speaker 3: undecided and then you push them and you lean them, like.

608
00:33:29,720 --> 00:33:31,200
Speaker 2: I talk about it in your show all the time.

609
00:33:31,480 --> 00:33:34,320
Speaker 2: If you had to decide who would you vote for

610
00:33:34,360 --> 00:33:36,280
Speaker 2: if the election was today and you had no choice

611
00:33:36,320 --> 00:33:38,000
Speaker 2: and you had to make up your mind, who are

612
00:33:38,000 --> 00:33:39,760
Speaker 2: you going to vote for? This guy?

613
00:33:40,240 --> 00:33:43,040
Speaker 3: When Push came to show, said I'm voting for Harris.

614
00:33:43,320 --> 00:33:45,920
Speaker 3: But now he says, if the election was hel tomorrow,

615
00:33:46,200 --> 00:33:47,200
Speaker 3: he's voting for Trump.

616
00:33:47,640 --> 00:33:48,320
Speaker 2: Here's why.

617
00:33:48,680 --> 00:33:49,120
Speaker 1: Quote.

618
00:33:49,680 --> 00:33:52,120
Speaker 3: I felt like the whole debate was Kamala Harris telling

619
00:33:52,160 --> 00:33:54,480
Speaker 3: me why not to vote for Donald Trump instead of

620
00:33:54,480 --> 00:33:56,480
Speaker 3: why she's the right handidate.

621
00:33:56,680 --> 00:33:58,880
Speaker 2: Okay, this is we're hearing this everywhere.

622
00:33:58,920 --> 00:34:03,520
Speaker 3: Listen to this Okay, fifty fifty three year old voter

623
00:34:03,600 --> 00:34:07,600
Speaker 3: from California, all right, isn't independent but leans to the left.

624
00:34:07,640 --> 00:34:12,840
Speaker 2: There's Roman, Daddy's on the show. Why does Laura allow

625
00:34:12,960 --> 00:34:14,759
Speaker 2: this child to come barreling in when we.

626
00:34:14,880 --> 00:34:16,920
Speaker 1: Would love to hear Roman's thoughts on the debate.

627
00:34:17,719 --> 00:34:21,480
Speaker 2: You know he's gonna you don't want savage Roman because when.

628
00:34:21,320 --> 00:34:24,839
Speaker 3: He's on Nickelodeon, I tell him the deal, bro, all right,

629
00:34:25,080 --> 00:34:27,359
Speaker 3: this woman is not somebody to look up to.

630
00:34:27,600 --> 00:34:29,839
Speaker 2: All right, and my daughter did the same thing with her.

631
00:34:29,960 --> 00:34:31,879
Speaker 2: I do know if you turned out to be like her,

632
00:34:31,920 --> 00:34:34,080
Speaker 2: Daddy's going to be very disappointed. I want you to

633
00:34:34,080 --> 00:34:36,120
Speaker 2: get where you are in life, where you get in

634
00:34:36,160 --> 00:34:38,719
Speaker 2: life based on the sweaty your brow and the and

635
00:34:38,760 --> 00:34:41,920
Speaker 2: your your own ambition, your hard work, and because you

636
00:34:42,040 --> 00:34:44,319
Speaker 2: earned it and because you kept your character and you

637
00:34:44,360 --> 00:34:48,439
Speaker 2: deserve it, not because you're her. And you know, will

638
00:34:48,480 --> 00:34:51,520
Speaker 2: he tate floating around? The funny thing about the funny

639
00:34:51,560 --> 00:34:53,480
Speaker 2: thing about when they go up and say, hey, is

640
00:34:53,480 --> 00:34:54,720
Speaker 2: he are you his daughter?

641
00:34:55,000 --> 00:34:56,200
Speaker 1: We played it yesterday.

642
00:34:56,320 --> 00:35:00,000
Speaker 2: He's banging him at that moment, all right, and he's married.

643
00:35:00,560 --> 00:35:04,600
Speaker 2: It's disgusting. Look at the damn contrast but she's willing

644
00:35:04,640 --> 00:35:08,759
Speaker 2: to bang an old fat man. Come on, man, you're

645
00:35:08,800 --> 00:35:10,719
Speaker 2: not gonna make You're not gonna my daughter is not

646
00:35:10,760 --> 00:35:13,839
Speaker 2: gonna look up to your ass. No, thank you. All right,

647
00:35:14,160 --> 00:35:17,280
Speaker 2: So listen to this fifty three year old California woman,

648
00:35:17,560 --> 00:35:20,880
Speaker 2: all right, and she's says she's an independent, but like

649
00:35:21,000 --> 00:35:26,319
Speaker 2: what she normally, Hey, she normally votes Democrat, although she

650
00:35:26,400 --> 00:35:29,400
Speaker 2: admitted that she has voted for Republicans in the past.

651
00:35:29,480 --> 00:35:33,880
Speaker 2: But get this, squishy rhinos, you know, squishy rhinos.

652
00:35:33,960 --> 00:35:37,080
Speaker 3: She doesn't like Trump and she doesn't like Maga. All right,

653
00:35:37,120 --> 00:35:40,040
Speaker 3: and this is what she said, Actually, I thought Trump

654
00:35:40,120 --> 00:35:42,640
Speaker 3: was great. This was the best I've ever seen him

655
00:35:42,640 --> 00:35:44,880
Speaker 3: in a debate. And then she goes on a layout

656
00:35:45,120 --> 00:35:49,040
Speaker 3: about how she wanted Kamala Harris to convince her to

657
00:35:49,239 --> 00:35:52,160
Speaker 3: vote for her. Convince me that you are not gonna

658
00:35:52,160 --> 00:35:54,759
Speaker 3: be as bad as Joe Biden, who she voted for.

659
00:35:55,360 --> 00:35:58,000
Speaker 3: And now she's saying, I hate to say it, but

660
00:35:58,080 --> 00:35:59,040
Speaker 3: if the election.

661
00:35:58,800 --> 00:36:01,360
Speaker 2: Is tomorrow, I have to vote for Donald Trump.

662
00:36:02,400 --> 00:36:05,319
Speaker 1: This is like, I'm like, what the hell is going on?

663
00:36:05,920 --> 00:36:09,520
Speaker 1: You know, like rich a couple things. I do think

664
00:36:10,239 --> 00:36:13,399
Speaker 1: it's the environment, man. I think people like I played

665
00:36:13,440 --> 00:36:16,400
Speaker 1: a clip from a swing voter independent voter from Wisconsin

666
00:36:16,840 --> 00:36:19,480
Speaker 1: who was straight up saying the same thing two days

667
00:36:19,480 --> 00:36:21,480
Speaker 1: ago or yesterday on the show, where he's saying, do

668
00:36:21,560 --> 00:36:24,440
Speaker 1: I think Trump's a good person? Absolutely not. I don't

669
00:36:24,480 --> 00:36:27,040
Speaker 1: like him. I don't like him at all. But life

670
00:36:27,120 --> 00:36:29,879
Speaker 1: was better under Trump. I think this election comes down

671
00:36:29,960 --> 00:36:32,080
Speaker 1: to that. Now. I want to offer a counterpoint and

672
00:36:32,200 --> 00:36:35,040
Speaker 1: maybe perhaps challenge you a little bit by the way.

673
00:36:35,200 --> 00:36:38,440
Speaker 1: I you know, I think it's I don't disagree with

674
00:36:38,480 --> 00:36:42,080
Speaker 1: the perspective of saying, hey, look, I'm standing up for

675
00:36:42,160 --> 00:36:44,719
Speaker 1: these fifteen million people who you just en franchised. This

676
00:36:44,800 --> 00:36:47,239
Speaker 1: process is illegitimate, and I won't give credence to it.

677
00:36:47,560 --> 00:36:50,160
Speaker 1: I actually love that. I love it. That's what he

678
00:36:50,239 --> 00:36:52,799
Speaker 1: should have done. But Trump would this is this is

679
00:36:52,800 --> 00:36:56,479
Speaker 1: what Trump would say. Trump and I'm not speaking for him.

680
00:36:56,600 --> 00:36:59,480
Speaker 1: I'm just saying this is his philosophy within his campaign.

681
00:37:00,080 --> 00:37:03,879
Speaker 1: He's told his people I would debate anyone, anytime, and

682
00:37:04,000 --> 00:37:07,160
Speaker 1: I know going into it that the media is going

683
00:37:07,200 --> 00:37:09,960
Speaker 1: to be hostile and I don't care. And he would

684
00:37:09,960 --> 00:37:11,640
Speaker 1: say and so this is So, this is where I'm

685
00:37:11,640 --> 00:37:15,000
Speaker 1: at on this. So Trump beat a Bush and a

686
00:37:15,040 --> 00:37:18,239
Speaker 1: Clinton in sixteen, surprise the world. He definitely won in

687
00:37:18,280 --> 00:37:21,360
Speaker 1: twenty twenty, but he was so dangerous to the system

688
00:37:21,640 --> 00:37:27,000
Speaker 1: that they cheated him out of it. He's debated, you know, many, many,

689
00:37:27,080 --> 00:37:30,319
Speaker 1: many times, his debate with Joe Biden. Uh, you know,

690
00:37:30,360 --> 00:37:33,720
Speaker 1: because your philosophy on that debate was that he should

691
00:37:33,719 --> 00:37:36,120
Speaker 1: not do it right and I agreed with you back then, right,

692
00:37:36,360 --> 00:37:38,919
Speaker 1: And now he goes into the debate and he completely

693
00:37:39,080 --> 00:37:42,680
Speaker 1: ends Biden's career, and that's why they shank him and

694
00:37:42,719 --> 00:37:45,759
Speaker 1: pull them and select Kamala. And if he would if

695
00:37:45,760 --> 00:37:48,279
Speaker 1: we would have, if you maken our advice, that would

696
00:37:48,280 --> 00:37:49,040
Speaker 1: have never happened.

697
00:37:49,239 --> 00:37:51,279
Speaker 3: But he'd be in a better political position right now

698
00:37:51,320 --> 00:37:53,640
Speaker 3: if he would have taken our advice. He was crushing

699
00:37:53,719 --> 00:37:56,839
Speaker 3: Joe Biden before the debate. John, This is like a misnomer.

700
00:37:57,040 --> 00:37:59,120
Speaker 3: He was kicking Joe Biden's ass.

701
00:37:58,800 --> 00:37:59,600
Speaker 2: Before the debate.

702
00:37:59,719 --> 00:38:02,640
Speaker 3: Well, because the Maris group had Trump plus one for

703
00:38:02,680 --> 00:38:05,719
Speaker 3: the you know, or Biden plus three when everyone else

704
00:38:05,719 --> 00:38:09,120
Speaker 3: from Harvard Harris to us to Emerson. I mean at

705
00:38:09,120 --> 00:38:10,680
Speaker 3: this point we got them lead him by three to

706
00:38:10,719 --> 00:38:13,080
Speaker 3: seven points. I mean, it was an Ic'm coming on

707
00:38:13,120 --> 00:38:16,319
Speaker 3: your show saying that people don't Republicans don't lead like this.

708
00:38:16,360 --> 00:38:20,560
Speaker 3: In national presidential polling, you'd still be facing Biden. He

709
00:38:20,600 --> 00:38:22,680
Speaker 3: would still there would have been no way for them

710
00:38:22,760 --> 00:38:25,040
Speaker 3: to knife him and get him out of the race.

711
00:38:25,320 --> 00:38:29,840
Speaker 3: And the listen, in a normal election context, he should

712
00:38:29,840 --> 00:38:32,160
Speaker 3: do better against Harris than he would against Biden, as

713
00:38:32,160 --> 00:38:36,320
Speaker 3: all the pre the dropout polling suggested he would, because

714
00:38:36,320 --> 00:38:39,200
Speaker 3: Biden's got the Scranton Joe appeal, and you know where

715
00:38:39,239 --> 00:38:41,399
Speaker 3: he's gonna do better than Harris is gonna get killed

716
00:38:41,400 --> 00:38:45,440
Speaker 3: in Lakawana, Lasern like she's gonna get killed there. But

717
00:38:46,000 --> 00:38:48,040
Speaker 3: you know, but and Joe Biden would have done better.

718
00:38:48,719 --> 00:38:52,200
Speaker 3: But what I'm saying is they have at least developed

719
00:38:52,280 --> 00:38:55,880
Speaker 3: a way forward where maybe Biden and no path, but

720
00:38:56,000 --> 00:38:59,400
Speaker 3: she has a singular path if there bs narrative, propaganda,

721
00:38:59,480 --> 00:39:05,920
Speaker 3: nonsense works and this debate allowed them, gave them that

722
00:39:06,040 --> 00:39:09,680
Speaker 3: what you know, that narrative to move forward with. And

723
00:39:09,840 --> 00:39:13,279
Speaker 3: whether or not these voters are telling us this is

724
00:39:13,320 --> 00:39:16,040
Speaker 3: not going to stop them from pushing that narrative and

725
00:39:16,080 --> 00:39:19,920
Speaker 3: that stuff does have power, and they walked into this.

726
00:39:20,000 --> 00:39:22,000
Speaker 3: I would and I really before I forget I got

727
00:39:22,000 --> 00:39:24,879
Speaker 3: to say this, everyone said Hillary Clinton won all.

728
00:39:24,840 --> 00:39:28,480
Speaker 2: The debates as well, all the polls, the pundits all right,

729
00:39:29,239 --> 00:39:32,040
Speaker 2: the truth is and then one of our polling, I

730
00:39:32,080 --> 00:39:34,960
Speaker 2: believe it was the debate when he was back up

731
00:39:35,000 --> 00:39:37,719
Speaker 2: against the wall post Billy Bush. I believe it was

732
00:39:37,719 --> 00:39:39,360
Speaker 2: that pole. I'd have to go back and look.

733
00:39:39,760 --> 00:39:42,440
Speaker 3: But actually we found that like by an eight point

734
00:39:42,520 --> 00:39:45,040
Speaker 3: march and Trump won the debate, which was weird, and

735
00:39:45,120 --> 00:39:47,520
Speaker 3: all the all the media polls were like fifty five

736
00:39:47,640 --> 00:39:51,000
Speaker 3: thirty five, and I'm like, okay, I got something different.

737
00:39:51,640 --> 00:39:54,960
Speaker 2: But even when we found that the Clinton won the debate,

738
00:39:55,800 --> 00:39:58,839
Speaker 2: it didn't like people are telling you who they think

739
00:39:58,840 --> 00:40:00,719
Speaker 2: they won, but it doesn't necess sarily mean they're going

740
00:40:00,760 --> 00:40:03,040
Speaker 2: to vote for that person. That's something I need, Like

741
00:40:03,320 --> 00:40:04,239
Speaker 2: you know, people.

742
00:40:04,000 --> 00:40:05,920
Speaker 1: Out said, I agree completely.

743
00:40:05,920 --> 00:40:09,640
Speaker 2: Those facial expressions, my friend, we're so bad.

744
00:40:10,360 --> 00:40:14,840
Speaker 3: We communicate more with our body and our facial express

745
00:40:14,840 --> 00:40:18,359
Speaker 3: through non verbal communication that we do with verbal communication.

746
00:40:18,840 --> 00:40:24,359
Speaker 3: Those faces turned off the male undecided voter forever, I'm

747
00:40:24,400 --> 00:40:26,840
Speaker 3: telling you forever.

748
00:40:26,360 --> 00:40:27,799
Speaker 2: And not coming back.

749
00:40:27,960 --> 00:40:31,000
Speaker 1: That's the largest group of undecided voters right now. And

750
00:40:31,040 --> 00:40:32,759
Speaker 1: I think that's meveraging them men.

751
00:40:33,200 --> 00:40:35,400
Speaker 3: And that's and the funny thing is with the women,

752
00:40:36,360 --> 00:40:40,480
Speaker 3: she needed to give these women. It's she needed to

753
00:40:40,520 --> 00:40:42,680
Speaker 3: meet what we have always called the presidential bar, like

754
00:40:42,719 --> 00:40:44,560
Speaker 3: people expect you to, and the debate is a great

755
00:40:44,560 --> 00:40:47,160
Speaker 3: way to show people you meet the presidential bar, and

756
00:40:47,320 --> 00:40:49,120
Speaker 3: you can have confidence in me that I could do

757
00:40:49,200 --> 00:40:49,680
Speaker 3: this job.

758
00:40:49,920 --> 00:40:52,480
Speaker 2: In twenty sixteen, it was Trump. Everyone kind of knew

759
00:40:52,560 --> 00:40:55,040
Speaker 2: Hillary Clinton. We it's a piece of crap. But she's

760
00:40:55,120 --> 00:40:57,799
Speaker 2: confident in government and can do the job.

761
00:40:57,840 --> 00:40:58,080
Speaker 1: I don't.

762
00:40:58,120 --> 00:41:00,000
Speaker 2: I don't have to worry whether or not Hillary's common

763
00:41:00,160 --> 00:41:00,520
Speaker 2: in or not.

764
00:41:00,800 --> 00:41:04,040
Speaker 1: Right, That's what I agree. I couldn't agree more.

765
00:41:04,400 --> 00:41:07,319
Speaker 3: Needed to meet a bar and so like he always was,

766
00:41:07,360 --> 00:41:09,680
Speaker 3: in a stronger position. People wanted to vote for him,

767
00:41:09,680 --> 00:41:12,200
Speaker 3: even though many didn't like him. They wanted to because

768
00:41:12,200 --> 00:41:13,960
Speaker 3: they were like what they liked what he was saying,

769
00:41:14,200 --> 00:41:16,680
Speaker 3: but they didn't know if he was like fit enough

770
00:41:16,719 --> 00:41:19,040
Speaker 3: to do it, confident enough to do it, temperament enough

771
00:41:19,080 --> 00:41:19,440
Speaker 3: to do it.

772
00:41:19,600 --> 00:41:21,920
Speaker 2: When he would do those debates, especially the third.

773
00:41:21,719 --> 00:41:24,160
Speaker 3: One, is he knocked it out of the park and

774
00:41:24,760 --> 00:41:26,839
Speaker 3: that was that was it for her and seal their fate.

775
00:41:26,880 --> 00:41:28,680
Speaker 2: I'm telling you uh this.

776
00:41:29,000 --> 00:41:33,520
Speaker 3: But there's no other word. Like Laura keeps saying, you

777
00:41:33,600 --> 00:41:36,319
Speaker 3: got a curb, your language here. You can't keep saying this,

778
00:41:36,719 --> 00:41:39,239
Speaker 3: but it's hard for me to convey what I mean

779
00:41:39,560 --> 00:41:43,839
Speaker 3: without saying it. Nobody likes a bit, Sean, Nobody likes

780
00:41:43,840 --> 00:41:46,560
Speaker 3: a bitch. Men don't like a bitch. Even women don't

781
00:41:46,560 --> 00:41:47,040
Speaker 3: like a bitch.

782
00:41:47,960 --> 00:41:48,840
Speaker 1: She was a bitch.

783
00:41:49,480 --> 00:41:52,560
Speaker 2: Can we get real for a second. Listen those faces?

784
00:41:52,800 --> 00:41:55,719
Speaker 2: Look it matters, you know, like I'm not trying to

785
00:41:55,719 --> 00:41:59,760
Speaker 2: be you're you are the only polster in the business.

786
00:42:00,040 --> 00:42:02,480
Speaker 1: They would ever say.

787
00:42:02,520 --> 00:42:04,640
Speaker 2: Everyone's afraid of saying it. They're like all a bunch

788
00:42:04,680 --> 00:42:07,800
Speaker 2: of cowards, like grab your balls and say what everyone

789
00:42:07,880 --> 00:42:11,960
Speaker 2: is on everybody's mind. And you know what matters. Nobody

790
00:42:12,160 --> 00:42:15,760
Speaker 2: likes that kind. Nobody wants that as their president. Nobody

791
00:42:15,760 --> 00:42:20,400
Speaker 2: wants that. Nobody does this. Oh my god. It was like,

792
00:42:20,440 --> 00:42:23,000
Speaker 2: I mean, she's like haunting on the playground, Kamali, You

793
00:42:23,280 --> 00:42:24,920
Speaker 2: daunting somebody in the playground.

794
00:42:25,280 --> 00:42:27,640
Speaker 3: And the worst thing about it is if you know,

795
00:42:27,880 --> 00:42:29,960
Speaker 3: and a lot of most voters don't you know, and

796
00:42:30,080 --> 00:42:32,399
Speaker 3: she better get down on her knees and not that,

797
00:42:32,520 --> 00:42:36,520
Speaker 3: Praise God. Other voters don't know because people who know

798
00:42:36,640 --> 00:42:39,399
Speaker 3: about her know that that's the place she is when

799
00:42:39,400 --> 00:42:39,919
Speaker 3: she's worked.

800
00:42:39,960 --> 00:42:41,960
Speaker 2: When people who work for her. Talk to anybody who

801
00:42:42,000 --> 00:42:45,040
Speaker 2: worked for Kamala Harris. When she's mocking you, she does

802
00:42:45,080 --> 00:42:47,560
Speaker 2: this stuff. She's trying to taunt you and demean you.

803
00:42:47,920 --> 00:42:48,640
Speaker 2: That's who she is.

804
00:42:48,680 --> 00:42:49,600
Speaker 1: And she showed that.

805
00:42:49,960 --> 00:42:51,000
Speaker 2: She showed who she.

806
00:42:51,120 --> 00:42:53,680
Speaker 3: Is on television last night, and I think I know

807
00:42:53,760 --> 00:42:54,360
Speaker 3: what happened.

808
00:42:54,640 --> 00:42:58,279
Speaker 2: They told her, you can't cackle. The cackling laugh is

809
00:42:58,400 --> 00:43:02,400
Speaker 2: what she does, you know, no cackle, the no ca

810
00:43:03,440 --> 00:43:07,080
Speaker 2: no cackling, Kamala like because that stuff is not going

811
00:43:07,120 --> 00:43:10,160
Speaker 2: well with men, especially men, but it's like nobody really

812
00:43:10,239 --> 00:43:10,520
Speaker 2: likes it.

813
00:43:10,560 --> 00:43:13,040
Speaker 3: And she does that when she hears something she disagrees

814
00:43:13,080 --> 00:43:16,279
Speaker 3: with or she wants to mock some she'll cackle and

815
00:43:16,360 --> 00:43:19,879
Speaker 3: dismiss it, you know, be dismissive. I bet you any

816
00:43:19,880 --> 00:43:22,960
Speaker 3: amount of money they told her no cackling, and those

817
00:43:23,000 --> 00:43:25,879
Speaker 3: faces is what was the product of her not knowing

818
00:43:25,920 --> 00:43:27,360
Speaker 3: what to do when she doesn't cackle.

819
00:43:27,680 --> 00:43:30,760
Speaker 2: You know, I'm serious, Sean. We all have our little quirks,

820
00:43:31,040 --> 00:43:31,319
Speaker 2: you know.

821
00:43:31,800 --> 00:43:34,040
Speaker 1: Listen, tell me about it. I'm like way overdue for

822
00:43:34,080 --> 00:43:37,040
Speaker 1: a break. Oh sorry, I would. I want to talk

823
00:43:37,080 --> 00:43:42,200
Speaker 1: more about the hours flying by. I don't know where

824
00:43:42,239 --> 00:43:44,520
Speaker 1: the time's going. Stay right, there be back in a

825
00:43:44,520 --> 00:43:48,759
Speaker 1: little bit with Savage Rich Barris. Okay, right back here

826
00:43:48,960 --> 00:43:52,680
Speaker 1: with Savage Rich Barris, director of Director of Big Data,

827
00:43:52,719 --> 00:43:59,120
Speaker 1: Pole and Easy Rich Savage and and also crazy crazy Rich.

828
00:43:59,800 --> 00:44:03,520
Speaker 1: So I want to go through some Trump highlights, because debates, you.

829
00:44:03,400 --> 00:44:05,359
Speaker 2: Know, I don't wait to take this a lot.

830
00:44:05,920 --> 00:44:08,320
Speaker 1: No, go ahead, go ahead, well wait till it.

831
00:44:08,440 --> 00:44:09,680
Speaker 2: Clip, wait to the clip.

832
00:44:10,440 --> 00:44:13,839
Speaker 1: Listen. There are a lot of conservative doomers out there

833
00:44:13,880 --> 00:44:14,680
Speaker 1: after this debate.

834
00:44:14,800 --> 00:44:17,160
Speaker 2: Not just necessary, I listen.

835
00:44:17,320 --> 00:44:20,560
Speaker 1: Yeah, I just think that I think that debates. You

836
00:44:20,640 --> 00:44:22,640
Speaker 1: made a great point. Just be like, just because you

837
00:44:22,640 --> 00:44:24,959
Speaker 1: think somebody wins a debate is not necessarily the person

838
00:44:25,000 --> 00:44:28,480
Speaker 1: that you're going to be voting for. And Trump had

839
00:44:29,000 --> 00:44:33,960
Speaker 1: all of the memorable moments in the debate, every single one. Yes,

840
00:44:34,360 --> 00:44:37,680
Speaker 1: yes he was distracted on the crowd side stuff, but

841
00:44:37,760 --> 00:44:41,080
Speaker 1: he still talked about the economy, He talked about immigration,

842
00:44:41,520 --> 00:44:44,880
Speaker 1: He talked about the fact that Kamala doesn't have a plan.

843
00:44:45,520 --> 00:44:49,000
Speaker 1: Could he have prosecuted the case against Kamala better? Yes?

844
00:44:49,719 --> 00:44:53,680
Speaker 1: Could he have better? Could he have exposed, truly exposed

845
00:44:54,200 --> 00:44:56,560
Speaker 1: just how insanely radical she is. I think he could

846
00:44:56,560 --> 00:44:59,520
Speaker 1: have done a lot better on that. Sure, And I

847
00:44:59,560 --> 00:45:05,120
Speaker 1: think that what I am what the biggest missed opportunity

848
00:45:05,200 --> 00:45:09,280
Speaker 1: for me? And look, I'm not I am not piling

849
00:45:09,320 --> 00:45:11,560
Speaker 1: on Trump at all. I'm saying that this man went

850
00:45:11,600 --> 00:45:14,000
Speaker 1: three to one. It was a tall order from the

851
00:45:14,120 --> 00:45:17,000
Speaker 1: very beginning, like it was a hot bowl environment. He

852
00:45:17,000 --> 00:45:19,080
Speaker 1: did the best he could with what he had. But

853
00:45:19,320 --> 00:45:26,800
Speaker 1: I think that not tying Kamala to Biden's cognitive decline

854
00:45:27,440 --> 00:45:28,920
Speaker 1: huge mistakes.

855
00:45:29,320 --> 00:45:35,640
Speaker 3: What what did Tony tell him was her biggest vulnerabilities?

856
00:45:35,719 --> 00:45:37,560
Speaker 2: I was left wondering last night.

857
00:45:37,880 --> 00:45:41,440
Speaker 3: I'm sorry, and I'm not here to make any friends. Clearly,

858
00:45:41,719 --> 00:45:44,720
Speaker 3: I'm here to tell my people who follow me the truth.

859
00:45:45,080 --> 00:45:48,160
Speaker 3: And somebody must not have done correct pulling or did

860
00:45:48,440 --> 00:45:50,800
Speaker 3: And by the way, they're running around telling everybody.

861
00:45:50,360 --> 00:45:51,600
Speaker 1: He didn't use any of her stuff.

862
00:45:51,600 --> 00:45:52,200
Speaker 2: We told him this.

863
00:45:53,000 --> 00:45:56,200
Speaker 3: Okay, that's what every consultant or polster says when they

864
00:45:56,200 --> 00:45:58,960
Speaker 3: give their client bad advice. How do you not know

865
00:45:59,040 --> 00:46:03,680
Speaker 3: that her two biggest vulnerabilities are basically one that she

866
00:46:04,480 --> 00:46:07,839
Speaker 3: was involved in the cover up of Joe Biden's finality

867
00:46:08,200 --> 00:46:11,600
Speaker 3: and that two they don't know how she's going to

868
00:46:11,600 --> 00:46:15,000
Speaker 3: be any different than Joe Biden, including with immigration of course,

869
00:46:15,040 --> 00:46:17,720
Speaker 3: and cost of living being the two biggest concerns.

870
00:46:18,320 --> 00:46:19,719
Speaker 1: I mean, it's just like I wish you had said

871
00:46:19,719 --> 00:46:21,960
Speaker 1: you cut and pasted Biden's policies from his way.

872
00:46:22,000 --> 00:46:25,799
Speaker 2: It's literally source code. It's literally the source code for

873
00:46:25,840 --> 00:46:26,920
Speaker 2: Biden's website.

874
00:46:26,960 --> 00:46:27,360
Speaker 1: Folks.

875
00:46:27,560 --> 00:46:30,320
Speaker 2: All right, that's how bad.

876
00:46:30,719 --> 00:46:33,840
Speaker 3: It's a copy, it's a mimic of Joe Biden's stuff.

877
00:46:33,840 --> 00:46:36,480
Speaker 3: And then she verbally mimics Donald Trump in the hopes

878
00:46:36,520 --> 00:46:38,760
Speaker 3: that nobody will notice that she's not maga.

879
00:46:38,800 --> 00:46:41,440
Speaker 2: I mean, it's just insane. But how do you not

880
00:46:41,960 --> 00:46:42,879
Speaker 2: drive that home?

881
00:46:43,000 --> 00:46:47,719
Speaker 3: There were multiple times where he missed huge layups and

882
00:46:47,760 --> 00:46:49,360
Speaker 3: he could have put the nails in her coff in

883
00:46:49,400 --> 00:46:51,239
Speaker 3: three v one or not. And by the way, I

884
00:46:51,239 --> 00:46:53,080
Speaker 3: will say this because I have to compliment and give

885
00:46:53,080 --> 00:46:55,680
Speaker 3: credit where credit's due. If you go back and rewatch

886
00:46:55,719 --> 00:46:59,719
Speaker 3: the debate at Fresh Eyes any ears, folks, he was

887
00:47:00,080 --> 00:47:03,240
Speaker 3: handily winning that debate for the first fifteen to twenty minutes.

888
00:47:03,600 --> 00:47:05,680
Speaker 2: It wasn't a v three v one at first.

889
00:47:05,920 --> 00:47:07,840
Speaker 3: When he knocked it out of the park on abortion,

890
00:47:08,239 --> 00:47:10,600
Speaker 3: they flipped their shit and went three v one.

891
00:47:10,880 --> 00:47:11,800
Speaker 2: That's what happened.

892
00:47:11,960 --> 00:47:14,879
Speaker 3: He killed it because they could They can't pin Trump down.

893
00:47:15,239 --> 00:47:19,520
Speaker 3: Trump isn't like other Republicans like Ron DeSantis, Ted Cruz, right,

894
00:47:19,680 --> 00:47:22,759
Speaker 3: he didn't try to like make himself unelectable in a

895
00:47:22,880 --> 00:47:25,520
Speaker 3: national election so he could win the Iowa caucusus A

896
00:47:25,640 --> 00:47:29,600
Speaker 3: right like. He has played the abortion issue so masterfully,

897
00:47:29,760 --> 00:47:33,160
Speaker 3: and not just this year, since he came on the scene,

898
00:47:33,440 --> 00:47:36,560
Speaker 3: since he came down the escalator. That man has had

899
00:47:36,600 --> 00:47:40,000
Speaker 3: his pulse on how Americans feel about the abortion issue,

900
00:47:40,080 --> 00:47:44,200
Speaker 3: their knee jerk reaction, want to support rights and not restrictions,

901
00:47:44,680 --> 00:47:48,160
Speaker 3: although they don't like the heinous nature of the abortion industry.

902
00:47:48,440 --> 00:47:51,480
Speaker 2: And he's played it and we done wrote it right, Sean.

903
00:47:51,680 --> 00:47:55,680
Speaker 3: And once he they failed to get him on that,

904
00:47:55,680 --> 00:47:56,160
Speaker 3: that was it.

905
00:47:56,400 --> 00:47:57,680
Speaker 2: That's when they went three v one.

906
00:47:58,080 --> 00:48:01,280
Speaker 3: That's when David Murra started interrupting him and helping Harris

907
00:48:01,400 --> 00:48:05,520
Speaker 3: and uh, you know, with just absolutely ridiculous waste of everybody's.

908
00:48:05,120 --> 00:48:08,600
Speaker 1: Time, ridiculous fact checks that were wrong. You're wrong, You're

909
00:48:08,680 --> 00:48:12,719
Speaker 1: just blatantly wrong. I mean, like I'm telling you straight up,

910
00:48:13,160 --> 00:48:17,319
Speaker 1: I live not too far away from Springfield, Ohio. Those

911
00:48:17,360 --> 00:48:20,200
Speaker 1: Haitians are definitely eating people's pets. And I'm telling you

912
00:48:20,200 --> 00:48:25,680
Speaker 1: I've heard it from people like people laughing like these morons,

913
00:48:25,719 --> 00:48:29,000
Speaker 1: like these moron like like these press people like, uh

914
00:48:29,040 --> 00:48:32,319
Speaker 1: all the the city manager said, it's not happening. Oh well,

915
00:48:32,400 --> 00:48:36,799
Speaker 1: shit the city manager. I guess if you ask any

916
00:48:36,800 --> 00:48:39,680
Speaker 1: follow up questions, I mean, hey, don't worry about the

917
00:48:39,719 --> 00:48:41,880
Speaker 1: fact that there's you know, a group of Haitians driving

918
00:48:41,920 --> 00:48:44,560
Speaker 1: around in a van and snatching up cats in the neighborhood.

919
00:48:44,680 --> 00:48:48,080
Speaker 1: My god's the city manager who says everything's fine, Like

920
00:48:48,160 --> 00:48:52,319
Speaker 1: what what a what a bunch of mouth breathing morons.

921
00:48:52,480 --> 00:48:54,479
Speaker 1: I'm just I'm just telling you. And that's just one.

922
00:48:54,960 --> 00:48:57,480
Speaker 1: That's just one example. But my let me show you,

923
00:48:57,520 --> 00:48:59,280
Speaker 1: can I tell you can show you my favorite moment.

924
00:48:59,520 --> 00:49:03,000
Speaker 1: Absolutely this was This was my favorite moment. Absolutely listen

925
00:49:03,000 --> 00:49:03,239
Speaker 1: to this.

926
00:49:03,560 --> 00:49:07,080
Speaker 5: They sent her to negotiate peace before this war started.

927
00:49:07,440 --> 00:49:10,279
Speaker 5: Three days later he went in and he started the

928
00:49:10,320 --> 00:49:14,480
Speaker 5: war because everything they said was weak and stupid. They

929
00:49:14,520 --> 00:49:17,440
Speaker 5: said the wrong things. That war should have never started.

930
00:49:17,719 --> 00:49:21,040
Speaker 5: She was the emissary. They sent her in to negotiate

931
00:49:21,160 --> 00:49:25,359
Speaker 5: with Zelenski and Putin, and she did and the war

932
00:49:25,440 --> 00:49:26,640
Speaker 5: started three days later.

933
00:49:28,680 --> 00:49:31,319
Speaker 1: I just thought that, like, they send this lady into

934
00:49:31,360 --> 00:49:35,000
Speaker 1: negotiated peace and the war starts three days later.

935
00:49:35,320 --> 00:49:38,960
Speaker 2: Fact check true. My favorite part is when he was

936
00:49:39,120 --> 00:49:42,560
Speaker 2: very powerful against Hillary Clinton went and he did prosecute

937
00:49:42,600 --> 00:49:45,080
Speaker 2: it correctly, and he showed a deference for the White

938
00:49:45,080 --> 00:49:47,520
Speaker 2: House in the office and he said, you know, she

939
00:49:47,600 --> 00:49:50,000
Speaker 2: sits there and talks about all these things she's gonna do.

940
00:49:50,480 --> 00:49:52,480
Speaker 2: She's been in office for four years.

941
00:49:52,560 --> 00:49:54,759
Speaker 1: Yeah, I got that sound bite. I know that's the

942
00:49:54,800 --> 00:49:57,520
Speaker 1: most That was the in his closing statement, why haven't

943
00:49:57,560 --> 00:49:58,040
Speaker 1: you done it?

944
00:49:58,360 --> 00:50:01,120
Speaker 2: But he shouldn't that front load this and he should

945
00:50:01,160 --> 00:50:04,759
Speaker 2: have hammered it all night long. Being I'm glad he

946
00:50:04,840 --> 00:50:06,880
Speaker 2: used it in his closing statement because it's the last

947
00:50:06,880 --> 00:50:08,759
Speaker 2: thing that people are going to take away when they

948
00:50:08,880 --> 00:50:11,200
Speaker 2: leave the debate, and they did, trust me. I am

949
00:50:11,239 --> 00:50:13,920
Speaker 2: hearing this from voters like crazy, and by the we're

950
00:50:13,960 --> 00:50:16,320
Speaker 2: not alone. Other focus groups are as well. Doctor Philhert

951
00:50:16,480 --> 00:50:19,680
Speaker 2: CNN or did MSM Reuter's heard it. I'm hearing it,

952
00:50:19,719 --> 00:50:21,759
Speaker 2: Patrick basher Murder. We're all hearing this.

953
00:50:22,120 --> 00:50:24,560
Speaker 3: She failed to convince us how she was going to

954
00:50:24,600 --> 00:50:27,279
Speaker 3: get out from underneath finding shadow and do things differently.

955
00:50:27,600 --> 00:50:29,799
Speaker 3: And I'm starting to think of it as she's got

956
00:50:29,800 --> 00:50:33,320
Speaker 3: the gerald Ford problem. Gerald Ford ran against Jimmy Carter.

957
00:50:33,400 --> 00:50:35,120
Speaker 2: And actually people like Gerald Ford.

958
00:50:35,320 --> 00:50:37,720
Speaker 3: But the problem was he couldn't get out from Nixon shadow,

959
00:50:37,880 --> 00:50:39,880
Speaker 3: and he couldn't convince the nation that he was going

960
00:50:39,920 --> 00:50:42,040
Speaker 3: to do something different. And right at the end there,

961
00:50:42,080 --> 00:50:45,080
Speaker 3: what did he do. He pardoned Richard Nixon and everyone

962
00:50:45,160 --> 00:50:47,799
Speaker 3: knew he was going to do that. And I'm not

963
00:50:47,800 --> 00:50:49,720
Speaker 3: saying it was the wrong decision. It was the right decision,

964
00:50:49,760 --> 00:50:54,080
Speaker 3: of course, but it hurt him because people couldn't figure out,

965
00:50:54,360 --> 00:50:56,319
Speaker 3: you know how he would take the country in a

966
00:50:56,360 --> 00:50:59,160
Speaker 3: new direction and leave the past, the sixties and the

967
00:50:59,200 --> 00:51:01,799
Speaker 3: tumultuous sixty He's in the early seventies behind us, and

968
00:51:01,840 --> 00:51:03,000
Speaker 3: he couldn't make that case.

969
00:51:03,440 --> 00:51:06,120
Speaker 2: And that's why they went for jim Jimmy Carter.

970
00:51:06,560 --> 00:51:08,160
Speaker 1: Okay, let me show you another sign. But and then

971
00:51:08,160 --> 00:51:10,080
Speaker 1: don't want to get your reaction on this, all right?

972
00:51:10,560 --> 00:51:13,480
Speaker 5: In Minnesota, she went out a minute, I'm talking now,

973
00:51:14,200 --> 00:51:19,680
Speaker 5: if you don't mind, please, does that sound familiar? She

974
00:51:19,800 --> 00:51:23,680
Speaker 5: went out, what.

975
00:51:23,920 --> 00:51:27,200
Speaker 2: Kid, what are you gonna do?

976
00:51:27,400 --> 00:51:30,480
Speaker 1: Meloie. I started laughing so hard when I said I

977
00:51:30,480 --> 00:51:33,640
Speaker 1: did not have I did not have Trump pulling the

978
00:51:33,719 --> 00:51:36,160
Speaker 1: I'm speaking on my twenty twenty four Bengo card. But

979
00:51:36,200 --> 00:51:37,320
Speaker 1: he did.

980
00:51:37,360 --> 00:51:40,160
Speaker 3: But that's her of course, you know. And what's funny

981
00:51:40,160 --> 00:51:41,759
Speaker 3: about it. I played the South Park clip. Do you

982
00:51:41,800 --> 00:51:44,720
Speaker 3: guys remember the South Park clip on they had I'm speaking, Madam,

983
00:51:44,760 --> 00:51:46,400
Speaker 3: I'm speaking, I am mat Can I finish? Can I

984
00:51:46,400 --> 00:51:49,919
Speaker 3: finish again? That's Kamala Harris, all right. I mean she's

985
00:51:50,080 --> 00:51:53,120
Speaker 3: even Canadian more than she's American. So I mean it

986
00:51:53,160 --> 00:51:55,680
Speaker 3: fits perfectly that guy's Canadian on the South Park skid,

987
00:51:56,440 --> 00:51:56,640
Speaker 3: you know.

988
00:51:56,719 --> 00:51:59,080
Speaker 2: But yeah, I actually think like he had.

989
00:51:58,960 --> 00:52:01,720
Speaker 3: A risk of pulling what I always call Rick Lazio.

990
00:52:02,160 --> 00:52:05,640
Speaker 3: When Rick Lazio was running for Senate against Hillary Clinton

991
00:52:05,680 --> 00:52:08,359
Speaker 3: in two thousand. He actually it was a close race.

992
00:52:08,400 --> 00:52:10,400
Speaker 3: People think about it New York and think it's, you know,

993
00:52:10,560 --> 00:52:13,920
Speaker 3: very liberal, But it was close because Giuliani was the favorite.

994
00:52:13,960 --> 00:52:15,719
Speaker 3: He would have beaten Hillary Clinton if he ran for

995
00:52:15,800 --> 00:52:18,600
Speaker 3: US Senate. But Rick Lazio had it pretty close and

996
00:52:18,680 --> 00:52:20,920
Speaker 3: blew it when he walked across the stage and acted

997
00:52:21,200 --> 00:52:23,360
Speaker 3: like a man, you know, like he was talking to

998
00:52:23,440 --> 00:52:25,520
Speaker 3: another man, and they thought it was and she played

999
00:52:25,560 --> 00:52:28,000
Speaker 3: the victim, of course, and they made it out like

1000
00:52:28,040 --> 00:52:29,560
Speaker 3: he was being too aggressive with a woman.

1001
00:52:29,600 --> 00:52:31,520
Speaker 2: And that was the end of Rick Lazio. So he

1002
00:52:31,600 --> 00:52:34,360
Speaker 2: avoided that that was the closest. That's the moment I

1003
00:52:34,360 --> 00:52:37,399
Speaker 2: believe was like the closest he came to stepping over,

1004
00:52:37,480 --> 00:52:41,080
Speaker 2: but he didn't. He didn't, no catastrophic moment.

1005
00:52:41,400 --> 00:52:44,960
Speaker 1: So so you brought up South Park. Kamala seems to

1006
00:52:44,960 --> 00:52:50,320
Speaker 1: have the economic understandings of like almost like the underpants gnomes.

1007
00:52:50,520 --> 00:52:56,640
Speaker 1: You know, step one, steel underpants, step two three profit.

1008
00:52:59,360 --> 00:52:59,960
Speaker 2: Unbelievable.

1009
00:53:00,080 --> 00:53:03,920
Speaker 1: Well, all right, so listen, tell us about like the future,

1010
00:53:03,960 --> 00:53:06,720
Speaker 1: like how is this going to affect the race moving forward?

1011
00:53:06,760 --> 00:53:08,600
Speaker 1: Where do you see what race going from here? In

1012
00:53:08,640 --> 00:53:10,680
Speaker 1: the last fifty or so days.

1013
00:53:10,520 --> 00:53:13,200
Speaker 2: We're gonna have to see, you know what the data

1014
00:53:13,239 --> 00:53:15,480
Speaker 2: tells us over the period of a couple of days.

1015
00:53:15,480 --> 00:53:17,319
Speaker 3: It's still fresh here. Let's give it time for it

1016
00:53:17,400 --> 00:53:20,160
Speaker 3: to sink in. But honestly, folks were fresh off the

1017
00:53:20,160 --> 00:53:22,680
Speaker 3: Biden debate that was an emperor has no closed moment.

1018
00:53:22,920 --> 00:53:25,680
Speaker 3: Before that, you'd have to go back to Ronald Reagan

1019
00:53:25,760 --> 00:53:29,040
Speaker 3: versus Jimmy Carter. There you go again. Debates usually don't

1020
00:53:29,160 --> 00:53:32,920
Speaker 3: change the trajectory of races. They honestly don't. And before

1021
00:53:32,960 --> 00:53:34,719
Speaker 3: that you would have to go back to the very

1022
00:53:34,760 --> 00:53:39,640
Speaker 3: first televised debate with Richard Nixon and JFK. If you

1023
00:53:39,680 --> 00:53:41,799
Speaker 3: were watching on television, he thought JFK one. If you

1024
00:53:41,800 --> 00:53:44,840
Speaker 3: were listening on the radio, you thought Nixon one. Debates

1025
00:53:44,920 --> 00:53:47,680
Speaker 3: really don't have that impact. And anyone who's in academia

1026
00:53:47,760 --> 00:53:50,239
Speaker 3: on my field who tells you otherwise is full of shit.

1027
00:53:52,880 --> 00:53:55,879
Speaker 1: All right, Savage Rich, tell us what you got going

1028
00:53:55,920 --> 00:53:59,360
Speaker 1: on this weekend with the family. Tell us where we

1029
00:53:59,360 --> 00:54:00,960
Speaker 1: can find you, how we can support you.

1030
00:54:01,520 --> 00:54:04,759
Speaker 2: Yeah, I mean, honestly, folks, the Public Polling Projects and

1031
00:54:04,920 --> 00:54:06,880
Speaker 2: full grind. If that's if you want to support us,

1032
00:54:06,920 --> 00:54:08,239
Speaker 2: that's the best way to do it. You can go

1033
00:54:08,280 --> 00:54:11,640
Speaker 2: to locals people's pundin dot locals dot com and that

1034
00:54:11,840 --> 00:54:14,400
Speaker 2: is you'll find it there, it's on a little sidebar,

1035
00:54:14,480 --> 00:54:16,920
Speaker 2: and support our polls or big Data poll dot com.

1036
00:54:17,160 --> 00:54:21,640
Speaker 2: And we're actually doing a national it's machine learning AI

1037
00:54:22,280 --> 00:54:26,239
Speaker 2: national voter analysis that will give us an idea of

1038
00:54:26,280 --> 00:54:28,120
Speaker 2: what we think the electorate will look like.

1039
00:54:28,200 --> 00:54:28,839
Speaker 1: We'll show you.

1040
00:54:28,760 --> 00:54:33,160
Speaker 3: Exactly overall every the whole population, what does it look like.

1041
00:54:33,400 --> 00:54:36,120
Speaker 2: And then what we think the electorate will look like.

1042
00:54:36,200 --> 00:54:38,480
Speaker 3: So that's pretty neat. That's in the pipeline. So is

1043
00:54:38,480 --> 00:54:39,400
Speaker 3: the Public Polling Project.

1044
00:54:39,400 --> 00:54:41,920
Speaker 2: The Ross Belts up next hopefully, folks, so you know,

1045
00:54:41,960 --> 00:54:43,560
Speaker 2: share it farm wide, contribute if you can.

1046
00:54:44,000 --> 00:54:47,480
Speaker 1: Man, you are, you are really doing some innovative stuff.

1047
00:54:47,520 --> 00:54:49,520
Speaker 1: It seems like you're growing like gangbusters.

1048
00:54:49,680 --> 00:54:52,200
Speaker 2: I'm trying, brother, I'm trying. You know, someone's got to

1049
00:54:52,280 --> 00:54:52,920
Speaker 2: keep them honest.

1050
00:54:54,000 --> 00:54:56,680
Speaker 1: Someone's got to That should be your tagline. Someone's got

1051
00:54:56,680 --> 00:54:57,440
Speaker 1: to keep them honest.

1052
00:54:58,320 --> 00:55:00,879
Speaker 2: Used to be accuracy matters. But I'm have to change it,

1053
00:55:01,080 --> 00:55:04,200
Speaker 2: you know, or data don't lie. People do never know.

1054
00:55:04,360 --> 00:55:05,880
Speaker 1: But that's a good one.

1055
00:55:05,960 --> 00:55:08,360
Speaker 2: That's a good one too. But I may have to

1056
00:55:08,440 --> 00:55:10,840
Speaker 2: change it up here real soon because the whole thing's evolving.

1057
00:55:11,880 --> 00:55:14,680
Speaker 1: Get some new headshots, you know, maybe grow a beard.

1058
00:55:17,440 --> 00:55:19,840
Speaker 2: That's great, bro, We do have some. We got some

1059
00:55:19,920 --> 00:55:22,239
Speaker 2: family pictures coming up actually pretty soon. We had to

1060
00:55:22,280 --> 00:55:24,520
Speaker 2: bump them because of what everything that's with the election.

1061
00:55:24,640 --> 00:55:26,440
Speaker 2: Have to push it probably until after, but it will

1062
00:55:26,480 --> 00:55:27,839
Speaker 2: be nice. I'm looking forward to it.

1063
00:55:28,320 --> 00:55:31,440
Speaker 1: Well, I'm looking forward to having you back next week

1064
00:55:31,719 --> 00:55:34,640
Speaker 1: as always. Rich, Thank you, Savage. Laura also who's there

1065
00:55:34,680 --> 00:55:37,320
Speaker 1: in the background with her glitzy risk, thank you as well.

1066
00:55:41,040 --> 00:55:43,520
Speaker 1: All right, Rich, Thanks brother, We'll see you next week, man,

1067
00:55:43,600 --> 00:55:46,399
Speaker 1: Thank you soon. Man, all right, see you guys. That

1068
00:55:46,600 --> 00:55:50,720
Speaker 1: is savage Rich Barriss, the best polster in the business. Okay, folks,

1069
00:55:50,760 --> 00:55:54,960
Speaker 1: I hope that you feel a little better about the debate.

1070
00:55:55,320 --> 00:55:57,560
Speaker 1: I don't think it's gonna move the needle. I think

1071
00:55:57,680 --> 00:56:02,080
Speaker 1: Trump surprised nobody said he's said he didn't. He's been

1072
00:56:02,120 --> 00:56:06,000
Speaker 1: saying the same damn thing since twenty sixteen. Kamala failed

1073
00:56:06,040 --> 00:56:08,680
Speaker 1: to move the needle. She didn't convince America that she

1074
00:56:08,800 --> 00:56:10,839
Speaker 1: was any different than Biden. So yees, she had some

1075
00:56:10,840 --> 00:56:13,920
Speaker 1: polished words. Did Trump have a perfect debate performance?

1076
00:56:14,040 --> 00:56:14,120
Speaker 3: No?

1077
00:56:14,560 --> 00:56:18,880
Speaker 1: So my point, keep calm, carry on right campaign like

1078
00:56:18,920 --> 00:56:21,319
Speaker 1: we're ten points down. Trump was three on one in

1079
00:56:21,360 --> 00:56:23,400
Speaker 1: that debate, did the best that he could with what

1080
00:56:23,440 --> 00:56:27,200
Speaker 1: he had. No doomers, There is no reason to be,

1081
00:56:27,400 --> 00:56:30,200
Speaker 1: oh my gosh, oh what are we gonna do? To

1082
00:56:30,320 --> 00:56:34,480
Speaker 1: hell with that double down? Focus on winning because we

1083
00:56:34,680 --> 00:56:36,920
Speaker 1: are going to win this thing. We are going to

1084
00:56:36,960 --> 00:56:41,960
Speaker 1: save our country. The task falls to us. So smash

1085
00:56:42,040 --> 00:56:45,040
Speaker 1: that like button, smash that like button, that little green

1086
00:56:45,080 --> 00:56:48,120
Speaker 1: thumb beneath the video. We have made the leaderboard. I

1087
00:56:48,160 --> 00:56:50,680
Speaker 1: think we've made the leaderboard every single day this week.

1088
00:56:50,719 --> 00:56:52,839
Speaker 1: I want to try to keep climbing it. It would

1089
00:56:52,840 --> 00:56:56,000
Speaker 1: be great. At some point to get in the top thirty,

1090
00:56:56,280 --> 00:56:59,400
Speaker 1: that would be awesome. So go ahead and smash that

1091
00:56:59,560 --> 00:57:01,839
Speaker 1: like button. Make sure you continue to support the show

1092
00:57:01,880 --> 00:57:04,120
Speaker 1: by telling your family and your friends to subscribe to

1093
00:57:04,160 --> 00:57:08,400
Speaker 1: Battleground Live. And this show is free to you and

1094
00:57:08,480 --> 00:57:12,120
Speaker 1: it always will be. And so it's your show. I'm

1095
00:57:12,120 --> 00:57:14,279
Speaker 1: grateful to have you here, the best audience in the

1096
00:57:14,280 --> 00:57:18,040
Speaker 1: world tomorrow night. Got a great show for you planned.

1097
00:57:18,040 --> 00:57:21,160
Speaker 1: But keep the faith, no dooming. We've got this right,

1098
00:57:21,240 --> 00:57:24,400
Speaker 1: We've got this stay focused election. We're here in the

1099
00:57:24,400 --> 00:57:26,520
Speaker 1: home stretch. We've got to sprint to the finish now.

1100
00:57:26,800 --> 00:57:30,160
Speaker 1: So God bless you all, God bless this amazing country

1101
00:57:30,200 --> 00:57:33,240
Speaker 1: that we call home. Take care, goodnight, and I will

1102
00:57:33,280 --> 00:57:37,520
Speaker 1: see you tomorrow. Battle crud, take care. God bless