1
00:00:00,160 --> 00:00:02,520
Speaker 1: Welcome to another episode of the Chicks on the Right podcast,

2
00:00:02,560 --> 00:00:04,519
where we talked to our friend and sponsored the show,

3
00:00:04,639 --> 00:00:08,199
Zach Abraham from Bulwart Capital Management, and today Dason and

4
00:00:08,240 --> 00:00:10,439
I have been kind of on like this AI kick

5
00:00:10,519 --> 00:00:13,160
on our regular morning show. We've been talking a lot

6
00:00:13,199 --> 00:00:15,839
about it lately and how it's basically going to be

7
00:00:16,199 --> 00:00:17,879
the end of the world as we know it at

8
00:00:17,879 --> 00:00:18,440
some point.

9
00:00:19,160 --> 00:00:21,399
Speaker 2: I truly believe that, I really believe it's going to

10
00:00:21,399 --> 00:00:23,440
be the end of word of civilization.

11
00:00:23,640 --> 00:00:29,280
Speaker 3: Yeah, but there are some handy things about some of

12
00:00:29,320 --> 00:00:32,280
it some of the time. One of the well, yeah,

13
00:00:32,359 --> 00:00:35,880
because you remember when I looked up the results of

14
00:00:35,920 --> 00:00:39,079
my MRI, which we're in like med speak, and I

15
00:00:39,079 --> 00:00:41,320
couldn't understand a word of it, and then I put

16
00:00:41,399 --> 00:00:44,600
it into AI and it translated it into Layman's terms

17
00:00:44,600 --> 00:00:46,799
and it was really super helpful. So for stuff like

18
00:00:46,880 --> 00:00:50,079
examples like that, Okay, fine, And now it turns out

19
00:00:50,119 --> 00:00:53,479
there was I Guess, a viral Reddit post that talked

20
00:00:53,520 --> 00:00:58,759
about how a family uses chat GPT to analyze their

21
00:00:58,799 --> 00:01:02,200
spending in their like for their household budget, and then

22
00:01:02,399 --> 00:01:05,159
I guess they can, you know, put in all of

23
00:01:05,200 --> 00:01:08,439
their expenses in a month and then chat GPT gives

24
00:01:08,480 --> 00:01:11,319
them a little analysis that says you're spending too much

25
00:01:11,439 --> 00:01:15,760
on groceries, or you're spending too much on whatever. And

26
00:01:15,879 --> 00:01:19,599
so the question for you, because you are a financial expert,

27
00:01:20,519 --> 00:01:26,040
would you trust chat GPT to analyze your family budget?

28
00:01:26,159 --> 00:01:27,200
Speaker 2: Why or why not?

29
00:01:28,280 --> 00:01:34,079
Speaker 4: Well, it's funny you should ask, because I was decidedly

30
00:01:34,200 --> 00:01:41,640
more pro chat GPT until this Friday where my wife

31
00:01:41,680 --> 00:01:45,280
and I, my wonderful wife and I had one of

32
00:01:45,319 --> 00:01:47,439
those classic, like I don't want to make it too

33
00:01:47,519 --> 00:01:49,799
dramatic because it really wasn't, but one of those classic

34
00:01:49,879 --> 00:01:52,879
kind of like back and forth kind of TIFFs over

35
00:01:52,959 --> 00:01:53,680
text message.

36
00:01:53,719 --> 00:01:55,120
Speaker 5: You know, we weren't on the same page.

37
00:01:55,519 --> 00:01:56,560
Speaker 2: Uh huh.

38
00:01:56,640 --> 00:02:02,040
Speaker 5: And she decided, and I think unfairly, to take all

39
00:02:02,079 --> 00:02:02,519
of our.

40
00:02:02,439 --> 00:02:07,480
Speaker 4: Text messages and process them through chad GPT and provided

41
00:02:07,599 --> 00:02:12,280
me proof, according to chad GPT, that I was being

42
00:02:12,560 --> 00:02:17,319
a bit disrespectful and what was the other term, that

43
00:02:17,800 --> 00:02:19,719
I was being disingenuous?

44
00:02:21,039 --> 00:02:21,439
Speaker 5: Comments.

45
00:02:21,719 --> 00:02:24,439
Speaker 2: Wait, so the robot said this, The robot told you

46
00:02:24,479 --> 00:02:26,439
that this was the case. Is that what happened?

47
00:02:27,120 --> 00:02:30,479
Speaker 4: She asked it like in the in trying to prove

48
00:02:30,520 --> 00:02:33,840
her points, she asked, if you were a therapist, how

49
00:02:33,840 --> 00:02:34,960
would you record this?

50
00:02:35,639 --> 00:02:39,840
Speaker 5: Now? One of the things that frustrated me is, in

51
00:02:39,879 --> 00:02:45,080
my opinion, the text messages that were selected were extraordinarily biased, So.

52
00:02:45,879 --> 00:02:47,919
Speaker 4: There was not a good There was not a good

53
00:02:48,639 --> 00:02:50,879
there was not a good sample size.

54
00:02:51,159 --> 00:02:54,439
Speaker 2: There's no nuance in text messages. Like you could just

55
00:02:54,439 --> 00:02:58,039
be like okay, like that's how you like. That's how

56
00:02:58,080 --> 00:03:00,960
my husband answers me all the time, like this long

57
00:03:01,080 --> 00:03:03,159
drawn out question to be like okay.

58
00:03:03,680 --> 00:03:06,680
Speaker 5: Yeah, or sometimes I just respond with the thumbs up.

59
00:03:06,680 --> 00:03:07,599
But that makes me.

60
00:03:09,280 --> 00:03:11,360
Speaker 2: Like man and communicate very differently.

61
00:03:11,800 --> 00:03:12,280
Speaker 5: Yeah.

62
00:03:12,319 --> 00:03:14,479
Speaker 4: So anyway, I I was, I sat there and got

63
00:03:14,479 --> 00:03:17,039
that text for my wife and I was like, oh man,

64
00:03:17,280 --> 00:03:23,599
now chat GPT is getting in on it.

65
00:03:23,039 --> 00:03:27,759
Speaker 5: Yeah, but no is is this stuff helpful? Absolutely?

66
00:03:27,879 --> 00:03:30,280
Speaker 4: I mean I know for a fact that can help

67
00:03:30,319 --> 00:03:34,680
out with people's personal finances because we're using it here

68
00:03:35,039 --> 00:03:39,080
more so a program called Perplexity, which we actually like

69
00:03:39,120 --> 00:03:42,800
better than Chat GPT, but we're using it on our you.

70
00:03:42,759 --> 00:03:44,360
Speaker 5: Know, it's helping us a lot on our.

71
00:03:47,759 --> 00:03:51,159
Speaker 4: Perplexity is another AI that was launched, another l M that,

72
00:03:51,360 --> 00:03:54,159
in my opinion and in many different ways, is further

73
00:03:54,240 --> 00:03:58,800
along in its applications as they apply to everyday life.

74
00:03:59,240 --> 00:04:01,520
Speaker 5: So my head of research has it.

75
00:04:01,560 --> 00:04:03,120
Speaker 4: He was telling me the other day he was driving

76
00:04:03,120 --> 00:04:06,840
into work and he asked, perplexity, hey teach me about the.

77
00:04:06,759 --> 00:04:07,719
Speaker 5: Spanish Civil War.

78
00:04:08,039 --> 00:04:09,840
Speaker 4: And he goes over the next thirty minutes, I got

79
00:04:09,919 --> 00:04:12,240
this audible lesson on the Spanish Civil War.

80
00:04:12,360 --> 00:04:16,439
Speaker 2: On that that is kind of handy.

81
00:04:16,839 --> 00:04:19,439
Speaker 5: That's it's it's really neat.

82
00:04:19,519 --> 00:04:22,160
Speaker 4: But to get to your point, and I don't want

83
00:04:22,160 --> 00:04:25,879
to go too far down the wonkish like nerdy physics

84
00:04:25,920 --> 00:04:26,639
side of things.

85
00:04:27,160 --> 00:04:30,959
Speaker 5: But what is interesting to me when you.

86
00:04:30,920 --> 00:04:33,680
Speaker 4: Look at the world today is how many things you

87
00:04:33,759 --> 00:04:37,279
see at turning points. Meaning what you're effectively watching in

88
00:04:37,319 --> 00:04:41,120
the world today is you're watching the world order as

89
00:04:41,199 --> 00:04:43,600
we've all come to know it post World War Two.

90
00:04:43,639 --> 00:04:47,920
You're watching that unravel. At the same time, you're watching

91
00:04:48,000 --> 00:04:51,319
a whole new age that is called AI emerge, right,

92
00:04:52,000 --> 00:04:57,480
you're also watching a whole new paradigm where those and

93
00:04:57,560 --> 00:04:59,399
this to me is not conspiratorial. I think if you

94
00:04:59,399 --> 00:05:01,839
look around the world, that's very hard to argue. But

95
00:05:02,399 --> 00:05:06,800
a large swath of those in power would like state

96
00:05:07,040 --> 00:05:10,720
sovereignty as we've known in our entire lives to be

97
00:05:10,839 --> 00:05:14,040
something decidedly different, right, which is you know, if you

98
00:05:14,079 --> 00:05:16,319
look at like the mass immigration into so many of

99
00:05:16,319 --> 00:05:19,439
these countries in a way that when you look at it,

100
00:05:20,439 --> 00:05:23,279
you know, the way that they keep these conversations quelled.

101
00:05:23,360 --> 00:05:26,160
Is anybody that says anything about mass immigration is of

102
00:05:26,160 --> 00:05:29,160
course a racist. But when you immigrate that many people

103
00:05:29,279 --> 00:05:33,199
into a country like Ireland that fast, there's there's no

104
00:05:33,319 --> 00:05:38,279
way you don't do that without destroying the historical culture

105
00:05:38,360 --> 00:05:39,639
of that society, right.

106
00:05:40,160 --> 00:05:40,480
Speaker 5: So.

107
00:05:42,040 --> 00:05:46,199
Speaker 4: And so, watching all of these things come to the fore,

108
00:05:46,959 --> 00:05:51,879
including the United States no longer being a single polar power, right,

109
00:05:52,000 --> 00:05:55,360
kind of splitting that up with China, there is reason

110
00:05:55,399 --> 00:05:58,800
to be very concerned about AI. I think it's kind

111
00:05:58,800 --> 00:06:02,720
of crazy not to be and if we've learned anything

112
00:06:02,800 --> 00:06:08,959
from human beings, we'll probably run into this, probably too recklessly.

113
00:06:10,680 --> 00:06:13,519
And you know, it's kind of one of those things

114
00:06:13,639 --> 00:06:15,680
we're just it's kind of like a star trek, right.

115
00:06:15,720 --> 00:06:18,319
It's a brave new world, which we don't we don't

116
00:06:18,360 --> 00:06:20,399
really know the implications of it.

117
00:06:20,519 --> 00:06:22,120
Speaker 5: And one of the things that concerns me.

118
00:06:22,079 --> 00:06:24,399
Speaker 4: About it is that you have all of these people

119
00:06:24,439 --> 00:06:27,800
that have grown up in the relative calm that has

120
00:06:27,879 --> 00:06:31,279
been post World War two, and so all of these

121
00:06:31,279 --> 00:06:35,040
things are happening at a time where I think that

122
00:06:36,199 --> 00:06:39,519
the human beings have kind of lolled themselves, right, really

123
00:06:39,560 --> 00:06:42,079
bad I mean look bad things, but I mean globally

124
00:06:42,160 --> 00:06:45,959
bad things. When we look at history, globally bad things

125
00:06:46,000 --> 00:06:49,319
have been widely averted for the last eighty years, right,

126
00:06:49,360 --> 00:06:52,639
And if you look back through history, that's an anomaly, right,

127
00:06:52,920 --> 00:06:57,800
it's not the norm.

128
00:06:58,000 --> 00:07:01,360
Speaker 6: Yeah, I mean, and I think you're yeah, and I

129
00:07:01,439 --> 00:07:04,680
think you're still you see in the groundwork for it, right,

130
00:07:04,839 --> 00:07:08,199
I mean, you know it's it's pretty wild. I mean,

131
00:07:08,600 --> 00:07:11,079
you know, go look at you know, it's just some

132
00:07:11,120 --> 00:07:13,279
pretty wild stuff if you go look at now. I

133
00:07:13,279 --> 00:07:15,279
know we've been there before with Japan, but not on

134
00:07:15,319 --> 00:07:18,519
the same scale. Like for a good idea of what

135
00:07:18,560 --> 00:07:20,560
you're up against, you should go look at this car

136
00:07:20,639 --> 00:07:24,360
that byd is Chinese or is it Jaomi? One of

137
00:07:24,399 --> 00:07:28,000
the Chinese manufacturers just put out this electric vehicle that

138
00:07:28,040 --> 00:07:30,160
they're charging thirty five thousand dollars for.

139
00:07:30,680 --> 00:07:32,360
Speaker 5: There's nothing we have here to compete with it.

140
00:07:32,439 --> 00:07:35,279
Speaker 2: So now it's so true, I know what you're talking about.

141
00:07:35,319 --> 00:07:37,079
My husband showed that to me about a week ago,

142
00:07:37,199 --> 00:07:40,680
and I was like, oh my god, like it's amazing,

143
00:07:40,759 --> 00:07:44,319
and you're right, we can't compete with that, not right now.

144
00:07:44,279 --> 00:07:47,120
Speaker 4: And not with the systems that we have in place.

145
00:07:47,199 --> 00:07:50,600
And what I'm hoping, what I'm hoping is that AI

146
00:07:50,800 --> 00:07:52,759
will assist us in waking up.

147
00:07:52,839 --> 00:07:55,120
Speaker 5: So for instance, when I say waking up, what is it?

148
00:07:55,360 --> 00:07:58,759
Speaker 4: We have an existential threat to the US domestic automobile

149
00:07:58,800 --> 00:08:04,120
manufacturing uh complex. If they don't get it together, and

150
00:08:04,120 --> 00:08:06,000
if they don't do it really quick, I think you

151
00:08:06,000 --> 00:08:11,040
could potentially see the US automobile manufacturing industry effectively dead

152
00:08:11,079 --> 00:08:12,360
in the water within five years.

153
00:08:12,600 --> 00:08:15,800
Speaker 2: Totally agree with you on that, absolutely hundred percent. Yeah.

154
00:08:16,199 --> 00:08:20,079
Why because our cars, Our cars suck here and like

155
00:08:20,160 --> 00:08:22,240
the ones like that what he's talking about, like that

156
00:08:22,279 --> 00:08:26,000
one that in China that I'll have to find a link,

157
00:08:26,040 --> 00:08:29,720
We'll have to share it with our people. It's it is, Yeah,

158
00:08:30,639 --> 00:08:31,399
it's not your day.

159
00:08:31,959 --> 00:08:36,679
Speaker 5: Yeah, five grand, You're getting almost six hundred miles of

160
00:08:36,759 --> 00:08:40,000
range on a single charge. Right, it's got three hundred

161
00:08:40,000 --> 00:08:41,399
and twenty horse power.

162
00:08:41,159 --> 00:08:44,159
Speaker 2: And the technology inside of it is unbelievable. It's like

163
00:08:44,399 --> 00:08:45,279
all I care about.

164
00:08:45,360 --> 00:08:47,120
Speaker 1: I just want to be super comfortable.

165
00:08:46,799 --> 00:08:49,679
Speaker 2: Oh, she's gonna she'd be so comfortable, like it basically

166
00:08:49,720 --> 00:08:52,240
wipes your butt. I mean, it's unbelievable. You know.

167
00:08:52,440 --> 00:08:54,679
Speaker 5: I think that I actually believe that they have a

168
00:08:54,679 --> 00:08:55,039
bi day.

169
00:08:55,080 --> 00:08:57,080
Speaker 2: Add on, I think there may be a be day

170
00:08:57,080 --> 00:09:00,159
in there. There may be. I have a have a

171
00:09:00,279 --> 00:09:02,320
question for you both. I know this is like I'm

172
00:09:02,399 --> 00:09:05,200
just okay, just speaking of AI. I'm gonna quiz you

173
00:09:05,279 --> 00:09:07,320
both and just see if you can answer me correctly.

174
00:09:07,360 --> 00:09:13,480
All Right, you're a financial advisor. Mock is a podcaster. Okay,

175
00:09:13,559 --> 00:09:15,960
she's not a financial advisor, but she knows a lot

176
00:09:16,000 --> 00:09:18,759
about saving money, Okay, because she's way better at it

177
00:09:18,799 --> 00:09:21,000
than I ever have been, because she's been saving since

178
00:09:21,039 --> 00:09:25,039
she was like three years old. Okay. Squirrel, Okay, she

179
00:09:25,200 --> 00:09:27,919
is like a squirrel. I looked at Chat GPT, Do

180
00:09:28,039 --> 00:09:31,759
Not Cheat. I looked at chatt Chat GBT okay, and

181
00:09:31,799 --> 00:09:34,360
I asked, what is the thing that people waste money

182
00:09:34,360 --> 00:09:37,480
on the most that keeps them from saving? Tell me

183
00:09:37,559 --> 00:09:39,480
what you think that thing is. I want to know

184
00:09:39,480 --> 00:09:41,399
what you think. What do you think it is that?

185
00:09:41,960 --> 00:09:42,679
Speaker 5: What do you think?

186
00:09:43,320 --> 00:09:45,120
Speaker 7: I was just gonna say that because that's what we

187
00:09:45,200 --> 00:09:46,320
spend tons of money on.

188
00:09:46,559 --> 00:09:51,559
Speaker 3: Yes, you guys are right, Yeah, I mean it's about myself.

189
00:09:51,679 --> 00:09:54,559
Speaker 2: Oh my god, it's it's regular dining at restaurants, coffee

190
00:09:54,559 --> 00:09:58,320
shops and ordering delivery adds up fast. It's convenient, but

191
00:09:58,360 --> 00:10:01,399
it costs significantly more than home cooking. That is what

192
00:10:01,440 --> 00:10:03,720
it is. That's the number one, and the number two

193
00:10:03,919 --> 00:10:07,440
is unused subscriptions, which I okay. And then number three

194
00:10:07,559 --> 00:10:10,039
is just like impulse purchases. That's it. I thought it

195
00:10:10,080 --> 00:10:13,000
would be something like cars or something like that. Nope,

196
00:10:13,480 --> 00:10:14,759
this is why I'm a dumbass.

197
00:10:14,919 --> 00:10:19,000
Speaker 5: This is why see okay. But here's a tough part.

198
00:10:19,080 --> 00:10:21,039
It's all about how we clarify, right.

199
00:10:21,120 --> 00:10:23,840
Speaker 4: So we could sit there and be like, yeah, the

200
00:10:23,960 --> 00:10:26,600
craziest amount that this family spends is this amount per

201
00:10:26,639 --> 00:10:30,559
month on meals and everything like that. But because the

202
00:10:30,600 --> 00:10:34,279
payments are within the normal rounds, right, I might look

203
00:10:34,279 --> 00:10:36,080
at it and say they're spending two thousand dollars a

204
00:10:36,120 --> 00:10:40,600
month on car payments. That isn't ridiculous either. Where I

205
00:10:40,799 --> 00:10:42,440
sat there and look at it as I go look,

206
00:10:43,360 --> 00:10:47,879
and this involves some nuance here. But when we're having

207
00:10:47,919 --> 00:10:50,840
discussions about what is good and what is right.

208
00:10:50,720 --> 00:10:52,639
Speaker 5: As far as your personal budget goes.

209
00:10:54,159 --> 00:10:58,039
Speaker 4: Unfortunately, a lot of it has to do in relationship

210
00:10:58,120 --> 00:10:59,000
to your income.

211
00:10:59,559 --> 00:11:00,600
Speaker 2: Right.

212
00:11:00,679 --> 00:11:03,720
Speaker 4: So if I'm sitting there dealing with a surgeon, let's

213
00:11:03,720 --> 00:11:07,159
say that makes you know, eight hundred thousand dollars a year,

214
00:11:07,200 --> 00:11:10,039
and he's a client of mine. Am I concerned because

215
00:11:10,039 --> 00:11:12,519
he got beneficial interest rates? Am I concerned that he

216
00:11:12,519 --> 00:11:14,559
has twenty five hundred dollars a car payments a month.

217
00:11:14,919 --> 00:11:15,360
Speaker 5: No.

218
00:11:15,360 --> 00:11:19,279
Speaker 4: Now, as a friend and advisor, I'd probably tell him, Hey,

219
00:11:20,600 --> 00:11:22,480
is there a reason why you're doing that? Because why

220
00:11:22,559 --> 00:11:25,519
not just roll you know, you know, no debt and

221
00:11:25,559 --> 00:11:27,559
all that kind of stuff. But if he's sitting there

222
00:11:27,559 --> 00:11:29,519
and he's telling me, look, Zach, I've got the amount

223
00:11:29,919 --> 00:11:31,840
that I was going to pay cash on those cars,

224
00:11:31,879 --> 00:11:33,600
sitting in these accounts earning interest.

225
00:11:33,639 --> 00:11:35,480
Speaker 5: I'm using that to help me pay down the debt faster.

226
00:11:35,879 --> 00:11:36,039
Speaker 4: You know.

227
00:11:36,080 --> 00:11:39,440
Speaker 5: That's that's one thing, But most people don't do that.

228
00:11:39,559 --> 00:11:44,039
Speaker 4: The biggest issue that we see, quite honestly, is, you know,

229
00:11:44,519 --> 00:11:47,200
would people be better off not ordering out?

230
00:11:47,320 --> 00:11:47,519
Speaker 5: Yes?

231
00:11:47,639 --> 00:11:49,960
Speaker 4: Of course, right, ordering out as much coffee. We've talked

232
00:11:49,960 --> 00:11:57,799
about that. Yeah, yeah, And that's such an easy one

233
00:11:57,799 --> 00:11:58,399
to break too.

234
00:12:00,200 --> 00:12:03,159
Speaker 2: Is it easy to break Zach. I mean, it's like Heroin.

235
00:12:03,320 --> 00:12:05,919
At this point, I go, I.

236
00:12:05,919 --> 00:12:06,480
Speaker 4: Go to start.

237
00:12:06,720 --> 00:12:07,519
Speaker 5: I'm a coffee guy.

238
00:12:07,559 --> 00:12:09,200
Speaker 4: I've got to have my two cups coffee before my

239
00:12:09,200 --> 00:12:13,159
brain even I go to I probably go to Starbucks

240
00:12:13,159 --> 00:12:14,720
maybe like six times a year.

241
00:12:14,919 --> 00:12:15,559
Speaker 2: Oh my god.

242
00:12:16,039 --> 00:12:19,600
Speaker 5: I make it a home. But a guy that still

243
00:12:19,600 --> 00:12:22,039
cuts his own hair too.

244
00:12:23,080 --> 00:12:23,279
Speaker 6: Do that.

245
00:12:23,320 --> 00:12:26,759
Speaker 2: When I was broken, is it a floy We need

246
00:12:26,759 --> 00:12:28,559
to know it's a float It's not a floby.

247
00:12:28,679 --> 00:12:29,159
Speaker 5: I wish it.

248
00:12:29,519 --> 00:12:32,399
Speaker 4: This is like legitimate, like hair clippers in the mirror.

249
00:12:32,559 --> 00:12:34,279
Speaker 2: You know we're going to get for Christmas. We're getting

250
00:12:34,279 --> 00:12:35,480
you a Flowby for Christmas?

251
00:12:36,320 --> 00:12:36,759
Speaker 5: I mean, are you?

252
00:12:37,000 --> 00:12:39,399
Speaker 4: I mean, actually I had a buddy in high school

253
00:12:39,399 --> 00:12:41,080
who's who had a Flowby and we're.

254
00:12:40,919 --> 00:12:43,480
Speaker 2: Gonna be dazzle it. We're bedazzling a Floby and we're

255
00:12:43,480 --> 00:12:45,840
sending it this question.

256
00:12:46,559 --> 00:12:48,360
Speaker 4: That can't as long as you both sign it. If

257
00:12:48,360 --> 00:12:50,399
I get a be dazzled with floby that's signed by

258
00:12:50,399 --> 00:12:50,919
both of you.

259
00:12:51,559 --> 00:12:53,320
Speaker 5: I mean I might just hang it up. When I

260
00:12:53,480 --> 00:12:55,799
was like, hey, this is I've reached my zenith. It's

261
00:12:55,840 --> 00:12:56,799
all downhill from here.

262
00:12:59,440 --> 00:13:04,799
Speaker 7: Now was like the most off the rails conversation ever I.

263
00:13:04,720 --> 00:13:06,639
Speaker 5: Would try and just figure out how to fit Andrew

264
00:13:06,679 --> 00:13:07,639
Tait in there somewhere.

265
00:13:09,360 --> 00:13:12,440
Speaker 7: That's because we were talking about him off and what

266
00:13:12,600 --> 00:13:14,200
we were for another day.

267
00:13:14,600 --> 00:13:16,759
Speaker 2: We need to talk about him for sure with you.

268
00:13:16,840 --> 00:13:18,480
We're going to do that. Maybe next week we'll talk

269
00:13:18,519 --> 00:13:20,279
about Andrew Will.

270
00:13:20,720 --> 00:13:23,720
Speaker 5: Yeah, I'm a huge fan. I'm a huge fan.

271
00:13:24,039 --> 00:13:24,720
Speaker 2: We know you are.

272
00:13:25,519 --> 00:13:28,960
Speaker 5: We know. Yeah, I've got a daughter, So no, I'm.

273
00:13:28,840 --> 00:13:30,879
Speaker 2: Not exactly exactly.

274
00:13:31,279 --> 00:13:34,399
Speaker 7: So I know that you are doing one of your

275
00:13:34,480 --> 00:13:37,799
famous webinars coming up soon. Do you want to tell

276
00:13:37,799 --> 00:13:40,879
people how they can register for sept for your webinars

277
00:13:40,919 --> 00:13:42,679
and how they can find you online?

278
00:13:43,000 --> 00:13:47,679
Speaker 4: And this is basically our whole thing is I love

279
00:13:47,720 --> 00:13:48,600
to just kind of put.

280
00:13:48,480 --> 00:13:50,960
Speaker 5: Out who we are, what we do, how we do it.

281
00:13:50,759 --> 00:13:53,480
Speaker 4: Not a big sales push, but give people an insight

282
00:13:53,559 --> 00:13:55,360
into into those things. Who we are, how we do,

283
00:13:55,399 --> 00:13:57,519
and how we do it, and kind of gives them

284
00:13:57,519 --> 00:14:00,440
a trial rum. If they're interested, then they can schedule

285
00:14:00,440 --> 00:14:02,480
a conversation with me or one of our other advisors.

286
00:14:02,799 --> 00:14:06,480
If not, hopefully they leave more more educated, more informed.

287
00:14:06,559 --> 00:14:10,399
So yeah, go to our website Bulletcapitalmanagement dot com, sign

288
00:14:10,440 --> 00:14:12,159
up a prompt to come up and you'll get sent

289
00:14:12,200 --> 00:14:16,039
a log in email that'll give you access to that

290
00:14:16,080 --> 00:14:19,399
webinar on Thursday. And yeah, it's pretty simple stuff and

291
00:14:19,559 --> 00:14:23,279
hopefully folks will log on and learn something awesome.

292
00:14:23,440 --> 00:14:25,440
Speaker 7: Well, thank you Zach as always Zach.

293
00:14:26,000 --> 00:14:28,080
Speaker 5: All right, ladies, stay away from edre to Tate and

294
00:14:28,120 --> 00:14:28,759
I'll see you soon.

295
00:14:29,320 --> 00:14:30,360
Speaker 2: Okay, okay.

296
00:14:31,320 --> 00:14:34,320
Speaker 4: Investment advisory services offered through Track Financial LLC and SEC

297
00:14:34,360 --> 00:14:36,919
registered investment advisor. Investments involve risk and or not guarantee

298
00:14:36,919 --> 00:14:39,240
past performance, doesn't guarantee future resilt Trek twenty four or

299
00:14:39,240 --> 00:14:39,840
two forty four

