1
00:00:00,240 --> 00:00:02,400
Speaker 1: Do you want to be an American idiot?

2
00:00:03,200 --> 00:00:06,600
Speaker 2: Scott flown back on seven hundred WLW, something like one

3
00:00:06,760 --> 00:00:10,320
Speaker 2: in five homes now have a video doorbell. It's amazing

4
00:00:10,440 --> 00:00:13,480
Speaker 2: just how big this sector became and exploded after the

5
00:00:13,520 --> 00:00:16,960
Speaker 2: last number of years. Ring Doorbell has made big news

6
00:00:17,120 --> 00:00:20,960
Speaker 2: these past weeks with the Nancy Guthrie case and controversy

7
00:00:21,400 --> 00:00:23,840
Speaker 2: over their Super Bowl ad. There's backlash there that caused

8
00:00:23,880 --> 00:00:28,320
Speaker 2: them to rethink its technology on fears the surveillance society

9
00:00:28,320 --> 00:00:30,479
Speaker 2: and Big Brother just simply going too far on This

10
00:00:30,840 --> 00:00:34,120
Speaker 2: is the CEO of Vigilan Cybersecurity right here in Cincinnati.

11
00:00:34,280 --> 00:00:36,520
Speaker 2: That would be Chris niheis Chris, Welcome back, Hey you Ben.

12
00:00:36,440 --> 00:00:39,440
Speaker 3: Brother, Good morning, Scott. I've been great. How about you.

13
00:00:39,479 --> 00:00:42,599
Speaker 2: I'm doing fine. Thanks. I think you know there's an

14
00:00:43,080 --> 00:00:46,040
Speaker 2: overlaying topic here, but I'm the issue of cameras and

15
00:00:46,080 --> 00:00:48,720
Speaker 2: cameras all over the place. I think it's fascinating and

16
00:00:48,760 --> 00:00:52,360
Speaker 2: watching the Nancy Guthrie case and that we learned that

17
00:00:52,560 --> 00:00:56,080
Speaker 2: you can have an inactive subscription for Ring or Nesta

18
00:00:56,120 --> 00:00:59,320
Speaker 2: or whatever it might be, and the camera still is

19
00:00:59,440 --> 00:01:03,320
Speaker 2: recording in this case evidence that's shocking.

20
00:01:04,319 --> 00:01:05,160
Speaker 3: That is shocking.

21
00:01:05,319 --> 00:01:08,600
Speaker 4: Yeah, I think the the thing we have to realize

22
00:01:08,680 --> 00:01:11,800
Speaker 4: here is that, you know, the cameras themselves don't have

23
00:01:11,880 --> 00:01:14,920
Speaker 4: much storage on at all, almost nothing. So the only

24
00:01:14,959 --> 00:01:19,199
Speaker 4: way for this video to have been recaptured after two

25
00:01:19,240 --> 00:01:22,520
Speaker 4: weeks would be for it's to be stored somewhere. And

26
00:01:22,600 --> 00:01:23,960
Speaker 4: so I think the thing that we have to really

27
00:01:24,480 --> 00:01:30,360
Speaker 4: start to be aware of or think about is that subscriptions.

28
00:01:31,120 --> 00:01:34,200
Speaker 3: May mean that you don't have access to the video

29
00:01:34,319 --> 00:01:35,280
Speaker 3: or those files, but.

30
00:01:35,280 --> 00:01:37,759
Speaker 4: It doesn't mean someone else doesn't have access to those

31
00:01:37,840 --> 00:01:38,520
Speaker 4: videos or files.

32
00:01:38,600 --> 00:01:42,759
Speaker 2: Yeah, because I think cash Patel said they retrieved residual

33
00:01:42,880 --> 00:01:46,560
Speaker 2: data located in back end systems. There's two there's only

34
00:01:46,600 --> 00:01:48,800
Speaker 2: one person's conversation. You know what the hell that means,

35
00:01:48,800 --> 00:01:49,760
Speaker 2: and it's you, Chris.

36
00:01:49,600 --> 00:01:54,880
Speaker 4: Go ahead, right, So it could mean and more than

37
00:01:55,000 --> 00:01:59,279
Speaker 4: likely than not, is that they're backing up that video.

38
00:01:59,600 --> 00:02:02,000
Speaker 4: Because video when you when you don't have a subscription,

39
00:02:02,120 --> 00:02:04,600
Speaker 4: what it does is it just streams back to the provider,

40
00:02:05,200 --> 00:02:07,360
Speaker 4: so you can watch it through your app or get

41
00:02:07,360 --> 00:02:11,400
Speaker 4: an immediate alert on your phone. It's not supposed to

42
00:02:11,480 --> 00:02:14,160
Speaker 4: store it. But I think the way around that that

43
00:02:14,360 --> 00:02:18,720
Speaker 4: some companies can do, either intentionally or unintentionally is they

44
00:02:18,760 --> 00:02:21,959
Speaker 4: can do it under the aspect of a backup right

45
00:02:22,000 --> 00:02:24,840
Speaker 4: while we were just backing up the same systems, and

46
00:02:24,919 --> 00:02:28,120
Speaker 4: so that's how that file got there. So it's possible

47
00:02:28,160 --> 00:02:30,400
Speaker 4: that that's how they reached out how they access it.

48
00:02:30,600 --> 00:02:33,760
Speaker 4: Another aspect could be that they actually just store it

49
00:02:34,320 --> 00:02:37,359
Speaker 4: for a certain period of time and then they just

50
00:02:37,400 --> 00:02:39,800
Speaker 4: get rid of it, even though again you don't have

51
00:02:39,880 --> 00:02:40,480
Speaker 4: access to it.

52
00:02:40,520 --> 00:02:42,280
Speaker 3: Gives the subscription that they do.

53
00:02:44,639 --> 00:02:46,519
Speaker 2: Because it's in the cloud, and once it goes in

54
00:02:46,560 --> 00:02:48,959
Speaker 2: the cloud cloud, it's not your property or which makes

55
00:02:48,960 --> 00:02:51,360
Speaker 2: it an interesting case in a critical question on the

56
00:02:51,360 --> 00:02:53,960
Speaker 2: go three cases, we don't know if the FBI obtained

57
00:02:53,960 --> 00:02:56,440
Speaker 2: a warrant for that footage from the doorbell camera. So

58
00:02:56,840 --> 00:02:58,720
Speaker 2: do you know what the legal standards, I mean, what

59
00:02:58,919 --> 00:03:01,280
Speaker 2: should the legal standards would be for law enforcement to

60
00:03:01,400 --> 00:03:04,280
Speaker 2: access that data from smart home cameras? And and how

61
00:03:04,360 --> 00:03:06,919
Speaker 2: often they actually the companies pushing back on these requests.

62
00:03:06,960 --> 00:03:09,600
Speaker 2: I remember when it was came to unlocked locking Apple phone,

63
00:03:09,639 --> 00:03:12,960
Speaker 2: remember the iPhone, and Yeah, there was a big k like, hey,

64
00:03:12,960 --> 00:03:14,160
Speaker 2: we're not going to give you, We're not going to

65
00:03:14,240 --> 00:03:16,280
Speaker 2: lock that. Well, you know, we're trying to get terrorists

66
00:03:16,320 --> 00:03:18,040
Speaker 2: in this country that was years and years ago. But

67
00:03:18,320 --> 00:03:21,400
Speaker 2: this is an extension of the same argument. Are are

68
00:03:21,440 --> 00:03:23,919
Speaker 2: companies pushing back on requests that might be overly broad?

69
00:03:25,160 --> 00:03:25,880
Speaker 3: A lot of them do.

70
00:03:26,000 --> 00:03:27,960
Speaker 4: I mean, look at what Apple did in Europe. You know,

71
00:03:28,000 --> 00:03:31,239
Speaker 4: they said, hey, okay, you know Europe wanted to unencrypt

72
00:03:31,360 --> 00:03:34,040
Speaker 4: or have access to the encrypted that's a mess messages

73
00:03:34,080 --> 00:03:36,320
Speaker 4: because Apple is one of the ones that I would

74
00:03:36,360 --> 00:03:39,280
Speaker 4: say is one of the largest proponents for privacy, you know,

75
00:03:39,360 --> 00:03:42,960
Speaker 4: and their their systems work well. Uh, the encrypture works

76
00:03:42,960 --> 00:03:46,560
Speaker 4: so well that it pisses governments off. And in Europe

77
00:03:46,720 --> 00:03:49,040
Speaker 4: they basically said, hey, we're going to shut you down

78
00:03:49,640 --> 00:03:52,800
Speaker 4: unless you let us abass to And they said, okay, cool,

79
00:03:52,840 --> 00:03:54,880
Speaker 4: we'll just let all of it be open. We won't

80
00:03:54,920 --> 00:03:57,200
Speaker 4: even mess with you, and and and then they pushed

81
00:03:57,200 --> 00:03:59,640
Speaker 4: back and said, okay, don't do that Apple, right. So

82
00:04:00,080 --> 00:04:02,480
Speaker 4: I think where it comes down to is two data

83
00:04:02,560 --> 00:04:06,920
Speaker 4: two aspects. One is where we haven't continued to talk

84
00:04:07,000 --> 00:04:10,320
Speaker 4: about a conversation. Who actually owns data?

85
00:04:10,480 --> 00:04:10,600
Speaker 5: Right?

86
00:04:10,680 --> 00:04:13,040
Speaker 4: If if I have a camera that I pay for

87
00:04:13,680 --> 00:04:17,000
Speaker 4: and that records video or audio of my own or

88
00:04:17,000 --> 00:04:20,240
Speaker 4: even emails or whatever, who owns that data once it

89
00:04:20,279 --> 00:04:23,880
Speaker 4: goes into a different platform. And in the United States,

90
00:04:23,960 --> 00:04:26,080
Speaker 4: you know, you know, outside of the United States, it's

91
00:04:26,080 --> 00:04:28,600
Speaker 4: been legislated, right, you don't own the data.

92
00:04:28,720 --> 00:04:28,880
Speaker 1: Right.

93
00:04:28,920 --> 00:04:30,919
Speaker 4: That's why I like, you have countries that have some

94
00:04:30,960 --> 00:04:34,040
Speaker 4: of the largest surveillance states. Ever in the United States,

95
00:04:34,520 --> 00:04:38,839
Speaker 4: we've handed that over to private companies in our terms

96
00:04:38,839 --> 00:04:39,480
Speaker 4: and conditions.

97
00:04:39,520 --> 00:04:40,719
Speaker 3: You know, I've talked about this before.

98
00:04:40,800 --> 00:04:42,640
Speaker 4: No one reads their terms and conditions and they get

99
00:04:43,040 --> 00:04:46,839
Speaker 4: surprised when their data is accessed if you hand that

100
00:04:46,960 --> 00:04:50,840
Speaker 4: data over, and the terms the conditions say that that

101
00:04:50,880 --> 00:04:55,160
Speaker 4: provider can do that to a law enforcement agent or anybody. Well,

102
00:04:55,240 --> 00:04:58,120
Speaker 4: they don't need a warrant because you just gave rights

103
00:04:58,120 --> 00:05:00,840
Speaker 4: to that data, right. So it really comes back to

104
00:05:00,880 --> 00:05:03,680
Speaker 4: who owns that data and what's in the terms conditions

105
00:05:03,680 --> 00:05:07,000
Speaker 4: of the things we signed. And in most cases, we're

106
00:05:07,000 --> 00:05:13,320
Speaker 4: handing over our privacy for convenience. And you know, we'll

107
00:05:13,320 --> 00:05:15,200
Speaker 4: talk about the SUPERWL out here in a second, but

108
00:05:15,680 --> 00:05:18,000
Speaker 4: you know it's we do it out of compassion as well.

109
00:05:18,200 --> 00:05:21,040
Speaker 2: Yeah. Uh he is Chris and I High, CEO Cincinnati

110
00:05:21,120 --> 00:05:23,880
Speaker 2: based Vision and Cybersecurity. You're talking about the advent of

111
00:05:24,000 --> 00:05:26,440
Speaker 2: video doorbell cams, whether it's nast or Ring, whatever the

112
00:05:26,960 --> 00:05:29,400
Speaker 2: system is that you have, how it plays into the

113
00:05:29,400 --> 00:05:32,400
Speaker 2: gu three case here where the subscription was inactive and

114
00:05:32,400 --> 00:05:34,320
Speaker 2: there was still video because it's all in the cloud,

115
00:05:34,480 --> 00:05:36,240
Speaker 2: and the ceo, I think it was the CEO of

116
00:05:36,320 --> 00:05:39,679
Speaker 2: Ring told in an interview told the media The Guardian

117
00:05:39,720 --> 00:05:42,400
Speaker 2: that there's a very distinct, distinct and marked difference between

118
00:05:42,400 --> 00:05:44,880
Speaker 2: what you have access to and what the company has

119
00:05:44,920 --> 00:05:45,400
Speaker 2: access to.

120
00:05:45,440 --> 00:05:49,839
Speaker 4: What does that mean, right, I mean that's what the

121
00:05:49,880 --> 00:05:52,560
Speaker 4: company is. That is this start was talking before. Is

122
00:05:52,200 --> 00:05:55,839
Speaker 4: this difference between subscription and not when you when you

123
00:05:55,880 --> 00:05:58,440
Speaker 4: sign up for a subscription and the subscription says, hey,

124
00:05:58,480 --> 00:05:59,880
Speaker 4: it's going to record the state of a thirty t

125
00:06:01,240 --> 00:06:05,680
Speaker 4: that's access. You're paying for access to your own data, right,

126
00:06:05,760 --> 00:06:08,400
Speaker 4: You're paying for access to see what happened a week ago.

127
00:06:08,760 --> 00:06:12,520
Speaker 4: Now that that organization can store that data for as

128
00:06:12,520 --> 00:06:15,599
Speaker 4: long as they want to unless it's clear in the

129
00:06:15,640 --> 00:06:19,440
Speaker 4: agreement with you, and in most cases these agreements are

130
00:06:19,440 --> 00:06:21,240
Speaker 4: not clear and in most cases people don't read them

131
00:06:21,279 --> 00:06:23,640
Speaker 4: at all. So at the end of the day, the

132
00:06:23,720 --> 00:06:25,560
Speaker 4: company can store that data for as long as they

133
00:06:25,560 --> 00:06:28,320
Speaker 4: want to, and in reality pretty much becomes there's in

134
00:06:28,360 --> 00:06:29,240
Speaker 4: a lot of cases.

135
00:06:28,960 --> 00:06:29,359
Speaker 3: Sure.

136
00:06:31,360 --> 00:06:33,280
Speaker 2: It makes sense. I mean, you know there's there's gonna

137
00:06:33,279 --> 00:06:35,240
Speaker 2: be things that simply the company can hang on. Do

138
00:06:35,279 --> 00:06:37,599
Speaker 2: you just wonder how easy it is for government to

139
00:06:37,640 --> 00:06:39,920
Speaker 2: get access to that information. Now, in this case, it's

140
00:06:39,960 --> 00:06:42,760
Speaker 2: needed because you're trying to find a you a missing

141
00:06:42,839 --> 00:06:45,160
Speaker 2: endangered person in the case of Nancy Guestry, but an

142
00:06:45,160 --> 00:06:48,360
Speaker 2: everyday walk of life it might be an entirely different story.

143
00:06:48,480 --> 00:06:50,040
Speaker 2: So you put these things, I mean I have them,

144
00:06:50,040 --> 00:06:53,000
Speaker 2: and you probably have security cameras as well. I tend

145
00:06:53,040 --> 00:06:54,440
Speaker 2: to err on the side of, hey, I've got the

146
00:06:54,440 --> 00:06:56,880
Speaker 2: information or if I need to know what happened or

147
00:06:56,920 --> 00:06:59,839
Speaker 2: something's occurring, I can be alerted to it. I'm not

148
00:07:00,200 --> 00:07:01,840
Speaker 2: much in my private life that's going to warrant a

149
00:07:01,880 --> 00:07:05,679
Speaker 2: federal investigation. So not thinking about killing anybody or capturing

150
00:07:05,680 --> 00:07:08,960
Speaker 2: anybody anytime soon, So I think I'm covered. Is that

151
00:07:09,000 --> 00:07:11,920
Speaker 2: a false sense of security?

152
00:07:12,240 --> 00:07:12,680
Speaker 1: I think it is.

153
00:07:12,800 --> 00:07:15,880
Speaker 4: It is a false sense of security for a couple

154
00:07:15,920 --> 00:07:19,440
Speaker 4: of reasons. One, you don't have you know these things

155
00:07:19,440 --> 00:07:21,960
Speaker 4: are so set, and forget that you don't really know

156
00:07:22,440 --> 00:07:23,640
Speaker 4: when they're working when they're not.

157
00:07:24,520 --> 00:07:27,080
Speaker 3: The second part about it is is that you know.

158
00:07:28,640 --> 00:07:31,840
Speaker 4: This this would not have flown twenty years ago, right,

159
00:07:32,040 --> 00:07:35,320
Speaker 4: and this has just been something that's over time. People

160
00:07:35,360 --> 00:07:37,560
Speaker 4: have said, Okay, well I want convenience. My life is

161
00:07:37,560 --> 00:07:41,640
Speaker 4: too busy, too fast. Instead of installing my own security

162
00:07:41,680 --> 00:07:43,480
Speaker 4: system that I have that I have access to that

163
00:07:43,560 --> 00:07:45,720
Speaker 4: doesn't have to go to the cloud, you know, people

164
00:07:45,760 --> 00:07:49,000
Speaker 4: are going to these cloud providers and and you know,

165
00:07:49,120 --> 00:07:52,080
Speaker 4: there's there's all these different features and things that pop

166
00:07:52,200 --> 00:07:56,680
Speaker 4: up on these that connects your data to other people's data.

167
00:07:56,360 --> 00:07:58,760
Speaker 4: It gives access to it in different ways that you're

168
00:07:58,800 --> 00:08:01,160
Speaker 4: not you don't necessarily want, you know. I think if

169
00:08:01,480 --> 00:08:03,960
Speaker 4: a lot of us just read what the actual terms

170
00:08:04,000 --> 00:08:07,080
Speaker 4: conditions on some of these things say, you probably would

171
00:08:07,120 --> 00:08:10,080
Speaker 4: think twice about it. But again, most people don't have time.

172
00:08:10,440 --> 00:08:12,040
Speaker 4: They don't do it, they don't even have time to

173
00:08:12,080 --> 00:08:15,720
Speaker 4: do it. So it's it's it's pretty interesting, how you know,

174
00:08:15,760 --> 00:08:18,960
Speaker 4: we just are you know, our generation as a you know,

175
00:08:19,040 --> 00:08:23,600
Speaker 4: click next and as septs and go right because we

176
00:08:23,680 --> 00:08:24,920
Speaker 4: want something to go bad.

177
00:08:25,040 --> 00:08:26,800
Speaker 2: Well, cameras have been. And I think the thing too

178
00:08:26,840 --> 00:08:28,760
Speaker 2: is two things. First of all, the prevalence of the

179
00:08:28,760 --> 00:08:30,560
Speaker 2: Internet of Things, because there's just so many you know,

180
00:08:30,640 --> 00:08:33,920
Speaker 2: you can connect to a WI file, labor enabled toothbrush

181
00:08:34,000 --> 00:08:35,679
Speaker 2: or toaster. I mean, what do I need to a

182
00:08:35,679 --> 00:08:38,240
Speaker 2: toaster that took up the internet for? But it's cool, right,

183
00:08:38,280 --> 00:08:41,120
Speaker 2: And then the other element is, uh, the cameras have

184
00:08:41,200 --> 00:08:43,440
Speaker 2: become ubiquitous. You know, I'm old enough to remember when

185
00:08:43,520 --> 00:08:45,600
Speaker 2: you know videocam quarterers came out. It was a big deal.

186
00:08:45,640 --> 00:08:48,680
Speaker 2: But these were huge machines. And now, hell, there's one

187
00:08:48,720 --> 00:08:51,240
Speaker 2: on your the screen of your monitor, on your computer,

188
00:08:51,360 --> 00:08:54,319
Speaker 2: there's one on your you put one on your refrigerator,

189
00:08:54,320 --> 00:08:56,880
Speaker 2: I've got your doorbell. Kids, it's it's on your phone.

190
00:08:56,920 --> 00:08:59,520
Speaker 2: You use it all the time. So if it's that prevalent,

191
00:08:59,720 --> 00:09:01,400
Speaker 2: you don't see it as a risk. You just see

192
00:09:01,400 --> 00:09:04,880
Speaker 2: it as something that's part of the fabric of modern life.

193
00:09:05,920 --> 00:09:08,000
Speaker 4: Right, Well, we'd be see our modern life, though, has

194
00:09:08,080 --> 00:09:11,640
Speaker 4: become one of this aspect of speed and can speed

195
00:09:11,679 --> 00:09:14,079
Speaker 4: to convenience? Right if I had if you and I

196
00:09:14,160 --> 00:09:18,880
Speaker 4: had this conversation in nineteen ninety five, right, and I said, hey, Scott,

197
00:09:19,360 --> 00:09:21,760
Speaker 4: you know we're going to go ahead and create a

198
00:09:21,840 --> 00:09:25,360
Speaker 4: website so that everybody is going to upload all of

199
00:09:25,400 --> 00:09:29,760
Speaker 4: their photos of extremely important events and even non important ones,

200
00:09:29,760 --> 00:09:32,920
Speaker 4: even the ones where you're emotionally, you know, walking through something,

201
00:09:33,559 --> 00:09:35,880
Speaker 4: whatever it is, we're going to be uploaded to a

202
00:09:35,880 --> 00:09:38,200
Speaker 4: website at that point. We're going to store those forever.

203
00:09:38,960 --> 00:09:41,400
Speaker 4: We're going to put a recording device in your home

204
00:09:41,679 --> 00:09:45,079
Speaker 4: and record literally everything you say, and we're going to

205
00:09:45,120 --> 00:09:47,319
Speaker 4: store that on servers. We're also going to put video

206
00:09:47,360 --> 00:09:50,480
Speaker 4: cameras up around every single home in the United States,

207
00:09:50,520 --> 00:09:52,480
Speaker 4: and we're going to record that as well. And we're

208
00:09:52,480 --> 00:09:54,760
Speaker 4: going to put all three of those things together. And

209
00:09:54,800 --> 00:09:57,800
Speaker 4: in fact, we're actually going to connect those devices together

210
00:09:58,600 --> 00:10:02,800
Speaker 4: so that they can share Internet bandwidth and we can

211
00:10:02,840 --> 00:10:06,160
Speaker 4: track devices as they move from device device. You would

212
00:10:06,160 --> 00:10:09,480
Speaker 4: be like, no way, right orbit, but now, but that's

213
00:10:09,520 --> 00:10:11,560
Speaker 4: exactly what I just described. You know, like we have

214
00:10:12,360 --> 00:10:15,480
Speaker 4: you know, all of your your your cameras now right,

215
00:10:15,640 --> 00:10:17,720
Speaker 4: there's just you know, people came up the sidewalk. It

216
00:10:17,760 --> 00:10:21,120
Speaker 4: was actually on by default, you know when it first

217
00:10:21,120 --> 00:10:24,640
Speaker 4: came out, where basically your device, if I have a

218
00:10:24,760 --> 00:10:27,400
Speaker 4: if I have a nest or a ring and my

219
00:10:27,440 --> 00:10:28,480
Speaker 4: neighbor has one.

220
00:10:28,520 --> 00:10:30,360
Speaker 3: Those can connect together on Bluetooth.

221
00:10:31,960 --> 00:10:34,280
Speaker 4: So what that does is it allows for people They

222
00:10:34,360 --> 00:10:38,080
Speaker 4: called it sidewalk, so people on your sidewalk could access

223
00:10:38,200 --> 00:10:41,760
Speaker 4: a very small bit of your network bandwidth. Well that

224
00:10:41,840 --> 00:10:44,480
Speaker 4: sounds cool, right, Oh man, I'm sharing with my neighbors

225
00:10:44,480 --> 00:10:46,440
Speaker 4: they're walking past. But when you look at how those

226
00:10:46,440 --> 00:10:49,719
Speaker 4: things work. You know, your your dog, right, good of

227
00:10:49,760 --> 00:10:53,360
Speaker 4: an RFID on it or or a device and and

228
00:10:53,520 --> 00:10:56,200
Speaker 4: yet right and as it's walking through, as you're walking

229
00:10:56,200 --> 00:10:59,000
Speaker 4: through the neighborhood, or your phone or whatever, all of

230
00:10:59,040 --> 00:11:02,200
Speaker 4: these devices connect to blouses right as you drive through,

231
00:11:02,280 --> 00:11:05,120
Speaker 4: so it can map where you go look at during COVID.

232
00:11:05,600 --> 00:11:09,480
Speaker 4: You know, we opened up who we interacted with right,

233
00:11:09,559 --> 00:11:12,280
Speaker 4: Like our devices, we could turn it on to see

234
00:11:12,280 --> 00:11:16,040
Speaker 4: who we had contact with during COVID, so that that

235
00:11:16,120 --> 00:11:19,480
Speaker 4: way it would map all those relationships, right and notify

236
00:11:19,600 --> 00:11:23,199
Speaker 4: people immediately if someone was in touch with someone ouse

237
00:11:23,240 --> 00:11:25,760
Speaker 4: at of COVID. And so it just goes back to

238
00:11:25,960 --> 00:11:31,280
Speaker 4: is that in the United States we choose surveillances, right,

239
00:11:31,559 --> 00:11:34,079
Speaker 4: whereas outside of the United States it's legislated. And I

240
00:11:34,120 --> 00:11:37,120
Speaker 4: think that should be something we really think about, right,

241
00:11:37,280 --> 00:11:40,120
Speaker 4: like why does it have to be legislated outside the

242
00:11:40,200 --> 00:11:43,760
Speaker 4: United States, and why is it chosen fire people in.

243
00:11:43,720 --> 00:11:44,280
Speaker 3: The United States?

244
00:11:44,320 --> 00:11:46,600
Speaker 2: A great question as a jumping off point here, Chris

245
00:11:46,600 --> 00:11:49,640
Speaker 2: and I heis's CEO of Cincinnati based Vigilant Cybersecurity, talking

246
00:11:49,640 --> 00:11:52,360
Speaker 2: about the Nancy Guthrie case with a ring doorbell that

247
00:11:52,440 --> 00:11:55,120
Speaker 2: was disconnected and they still able to get data. Ring

248
00:11:55,160 --> 00:11:57,760
Speaker 2: to a Super Bowl ad the showcase what they called

249
00:11:57,760 --> 00:11:59,520
Speaker 2: search Party. We're kind of what we're talking about with

250
00:11:59,520 --> 00:12:01,480
Speaker 2: Apple Tech. Even though our Apple tag works basically it

251
00:12:01,480 --> 00:12:05,000
Speaker 2: does share if you're an Apple enabled household, for example,

252
00:12:05,160 --> 00:12:07,320
Speaker 2: that little tag that you put on your dog or luggage,

253
00:12:07,679 --> 00:12:09,560
Speaker 2: you need to be near Wi Fi for that to work.

254
00:12:09,600 --> 00:12:11,800
Speaker 2: And so if the dog's lost the neighborhood, somebody's going

255
00:12:11,880 --> 00:12:15,520
Speaker 2: to have part of that network. As part of Apple's network,

256
00:12:15,720 --> 00:12:17,720
Speaker 2: it's going to show, hey, the dog's over by this house,

257
00:12:18,200 --> 00:12:20,160
Speaker 2: which is really cool but also frightening as far as

258
00:12:20,200 --> 00:12:22,960
Speaker 2: tracking goes. Now Ring is taking us a step further

259
00:12:23,000 --> 00:12:25,360
Speaker 2: with Search Party. So you may have seen the adder

260
00:12:25,400 --> 00:12:27,600
Speaker 2: in the Super Bowl where it shows a dog that's

261
00:12:27,679 --> 00:12:31,400
Speaker 2: lost in the neighborhood. And now they're using facial recognition,

262
00:12:31,520 --> 00:12:33,400
Speaker 2: so you don't flock as the company that does the

263
00:12:33,720 --> 00:12:36,240
Speaker 2: automated license plate reader's police agency to using for a

264
00:12:36,280 --> 00:12:39,760
Speaker 2: long time, and now they do that with facial recognition,

265
00:12:40,280 --> 00:12:42,560
Speaker 2: and so now hey, it's the shape. This looks like

266
00:12:42,600 --> 00:12:44,880
Speaker 2: your dog, it looks like a Golden Retriever. It's its

267
00:12:44,880 --> 00:12:48,080
Speaker 2: facial features. It was seen a couple blocks away on

268
00:12:48,120 --> 00:12:52,040
Speaker 2: this Spring camera. They tie the network back in Are

269
00:12:52,040 --> 00:12:54,080
Speaker 2: you happy to see the backlash? It came from that

270
00:12:54,160 --> 00:12:57,240
Speaker 2: because people watching the Super Bowl ineborated drunk and eating

271
00:12:57,320 --> 00:13:01,400
Speaker 2: piles of Wacamolean wings and ribs. Watch that one. Whoa, wha, whoa.

272
00:13:01,480 --> 00:13:02,840
Speaker 2: If you can do without a dog, you can do

273
00:13:02,880 --> 00:13:05,720
Speaker 2: it at a person. And the backlash was so huge

274
00:13:05,720 --> 00:13:08,280
Speaker 2: that Ring has pulled their deal with Flock for that,

275
00:13:09,440 --> 00:13:10,040
Speaker 2: right right.

276
00:13:10,120 --> 00:13:12,440
Speaker 3: I think it's part of the audience too, uh you know,

277
00:13:12,559 --> 00:13:13,360
Speaker 3: And you know.

278
00:13:13,320 --> 00:13:15,440
Speaker 4: I think that was probably the worst place for being

279
00:13:15,480 --> 00:13:18,599
Speaker 4: to put that out there first. But you know, the

280
00:13:18,800 --> 00:13:21,679
Speaker 4: at the end of the day, you know, it's you know,

281
00:13:21,920 --> 00:13:26,960
Speaker 4: it's a it just goes back to compassion, right, It's like, well,

282
00:13:27,240 --> 00:13:29,240
Speaker 4: I want my dog to be found. I want my

283
00:13:29,240 --> 00:13:32,719
Speaker 4: neighbor's dog to be found. Uh, you know, I want

284
00:13:33,280 --> 00:13:36,280
Speaker 4: my you know what the next step is, well, what

285
00:13:36,360 --> 00:13:37,240
Speaker 4: about missing kids?

286
00:13:37,280 --> 00:13:38,120
Speaker 3: What about you know?

287
00:13:38,160 --> 00:13:40,520
Speaker 4: And I and I'm you know, you know, I do

288
00:13:40,559 --> 00:13:43,160
Speaker 4: a lot of keeping trashing investigations things like that that

289
00:13:43,280 --> 00:13:46,000
Speaker 4: that's important to me, But I would not say that

290
00:13:46,040 --> 00:13:49,280
Speaker 4: we need to put you know, facial recognition all over

291
00:13:49,320 --> 00:13:53,000
Speaker 4: the place, uh access accessible to everybody at all times

292
00:13:53,640 --> 00:13:56,199
Speaker 4: to be able to see what's happening in a home, right,

293
00:13:56,840 --> 00:13:59,319
Speaker 4: Because there's there's there's good an evil in this world, right,

294
00:13:59,600 --> 00:14:03,160
Speaker 4: And the good part is the compassion part, right. The

295
00:14:03,280 --> 00:14:05,960
Speaker 4: bad part is the people that are going to use

296
00:14:05,960 --> 00:14:08,640
Speaker 4: that in evil ways, right. And I mean just just

297
00:14:08,679 --> 00:14:11,520
Speaker 4: look at what's happening with some of the f steam

298
00:14:11,520 --> 00:14:14,800
Speaker 4: file stuff, right, Like you're starting to see that some

299
00:14:14,840 --> 00:14:17,080
Speaker 4: of the people that ran some of these companies that

300
00:14:17,120 --> 00:14:23,600
Speaker 4: have access to pictures or images allegedly right of children, right,

301
00:14:24,040 --> 00:14:28,800
Speaker 4: and access to their addresses and all those things, and

302
00:14:28,840 --> 00:14:30,680
Speaker 4: then they did these other things right, So it's like, well,

303
00:14:30,720 --> 00:14:32,680
Speaker 4: what did you use what did that what did that

304
00:14:32,720 --> 00:14:35,760
Speaker 4: information get used for? And that's the thing you just

305
00:14:35,800 --> 00:14:40,200
Speaker 4: always have to think about, is that compassion is great, right,

306
00:14:40,400 --> 00:14:42,200
Speaker 4: and we need to have compassion, and we need to

307
00:14:42,240 --> 00:14:44,960
Speaker 4: do the right things to try to have compassion. We

308
00:14:45,000 --> 00:14:47,920
Speaker 4: need to watch out for our team, our neighbors or friends.

309
00:14:48,560 --> 00:14:54,560
Speaker 4: But you can't give up today for something that tomorrow

310
00:14:54,600 --> 00:14:57,960
Speaker 4: could be used in some bad ways. Right With the

311
00:14:58,000 --> 00:14:58,880
Speaker 4: wrong people are there?

312
00:14:59,040 --> 00:15:02,360
Speaker 2: Yeah, and you know there's also you mentioned it earlier briefly,

313
00:15:02,400 --> 00:15:05,320
Speaker 2: but the consent question. So a lot of people bought

314
00:15:05,360 --> 00:15:08,080
Speaker 2: these devices to protect package deliveries. For example, what about

315
00:15:08,080 --> 00:15:11,000
Speaker 2: porch pirates or see, hey listen, somebodys are in my house,

316
00:15:11,120 --> 00:15:13,600
Speaker 2: or did I leave my garage door open and look?

317
00:15:13,640 --> 00:15:14,240
Speaker 2: Oh yeah I did.

318
00:15:14,680 --> 00:15:14,960
Speaker 6: Uh.

319
00:15:15,160 --> 00:15:16,840
Speaker 2: And now these cameras are part of a network and

320
00:15:16,920 --> 00:15:20,000
Speaker 2: be searched by aar access by law enforcement. So did

321
00:15:20,080 --> 00:15:22,440
Speaker 2: did consumers actually consent to that when they click degree

322
00:15:22,440 --> 00:15:24,720
Speaker 2: on the terms of service document that we don't read.

323
00:15:24,640 --> 00:15:28,200
Speaker 3: We'll do they do? Yeah, they do, they do.

324
00:15:28,480 --> 00:15:31,680
Speaker 4: And that's that's with anything you know, you put you know,

325
00:15:31,760 --> 00:15:34,400
Speaker 4: certain routers on your net, on your home wifie, you know,

326
00:15:34,560 --> 00:15:38,160
Speaker 4: or you put certain applications, certain technologies. Now, there's a

327
00:15:38,160 --> 00:15:40,200
Speaker 4: lot of technology out there that says, hey, we're not

328
00:15:40,240 --> 00:15:41,960
Speaker 4: going to surveil you at all and in our terms

329
00:15:41,960 --> 00:15:45,240
Speaker 4: and conditions right right, there's a lot of technology you

330
00:15:45,280 --> 00:15:47,760
Speaker 4: can buy, even for camera, you know, home camera systems

331
00:15:47,760 --> 00:15:50,080
Speaker 4: that don't send things out to the cloud, and if

332
00:15:50,120 --> 00:15:52,440
Speaker 4: they do, it's to a privatized place that only have

333
00:15:52,560 --> 00:15:56,440
Speaker 4: access to and it's encrypted. So it's just more as consumers,

334
00:15:56,560 --> 00:15:59,560
Speaker 4: you have to choose what you want. It just goes

335
00:15:59,600 --> 00:16:01,840
Speaker 4: back to the fact that we're a fast moving society

336
00:16:02,040 --> 00:16:04,240
Speaker 4: and we're not moving fast, you know. I think we're

337
00:16:04,240 --> 00:16:08,360
Speaker 4: moving faster towards convenience and faster towards innovation right now.

338
00:16:08,680 --> 00:16:11,240
Speaker 4: But I think but the other part of that is

339
00:16:11,280 --> 00:16:14,840
Speaker 4: we trade so much because we will go back and say, well,

340
00:16:14,880 --> 00:16:18,560
Speaker 4: I didn't have time to know, and you know, that's

341
00:16:18,600 --> 00:16:21,160
Speaker 4: a that's a that's the scary place for people that

342
00:16:22,160 --> 00:16:23,440
Speaker 4: you know can take advantage of that.

343
00:16:23,680 --> 00:16:27,600
Speaker 2: Yeah, final point on this bottom line for our listeners, Chris.

344
00:16:27,600 --> 00:16:30,720
Speaker 2: If someone owns one of these wireless doorbells or give

345
00:16:30,800 --> 00:16:33,640
Speaker 2: video doorbells, what should you do? And if you're considering

346
00:16:33,720 --> 00:16:36,640
Speaker 2: buying one, what what you ask the companies that maybe

347
00:16:36,640 --> 00:16:38,000
Speaker 2: they don't want to answer. How do you find that

348
00:16:38,040 --> 00:16:40,080
Speaker 2: information out what they're doing with this, and how much

349
00:16:40,120 --> 00:16:41,200
Speaker 2: time should you invest in that?

350
00:16:42,000 --> 00:16:43,360
Speaker 4: But I think the first thing is I would I

351
00:16:43,360 --> 00:16:45,560
Speaker 4: would just read the term subsistions first. Make sure you're

352
00:16:45,600 --> 00:16:47,080
Speaker 4: okay with it, because at the end of the day,

353
00:16:47,120 --> 00:16:49,600
Speaker 4: they're not going to change it for you, and you know,

354
00:16:49,640 --> 00:16:50,840
Speaker 4: so you're not gonna be able to call them up

355
00:16:50,840 --> 00:16:53,200
Speaker 4: and have a red line it or modify it, and

356
00:16:53,520 --> 00:16:55,600
Speaker 4: just know what you're giving up and just be okay

357
00:16:55,640 --> 00:16:58,600
Speaker 4: with that. I would also teach your kids this too,

358
00:16:59,080 --> 00:17:02,200
Speaker 4: because some of the apps that are targeting kids snaps,

359
00:17:02,200 --> 00:17:06,919
Speaker 4: things like that. You know, as far as consumers, they

360
00:17:07,400 --> 00:17:10,280
Speaker 4: they are wide open with privacy. And that's one of

361
00:17:10,280 --> 00:17:13,840
Speaker 4: the reasons why a lot of kids are targeted for

362
00:17:13,960 --> 00:17:19,240
Speaker 4: attacks around romance. They're targeted for relationships and things like

363
00:17:19,320 --> 00:17:24,520
Speaker 4: that because their generation is so used to everybody knowing everything,

364
00:17:24,920 --> 00:17:27,199
Speaker 4: even to the point where life three sixty. You know,

365
00:17:27,320 --> 00:17:31,240
Speaker 4: colleges people just share their their location all the time.

366
00:17:31,400 --> 00:17:33,600
Speaker 4: So I would say teach them as well, so that

367
00:17:33,680 --> 00:17:36,560
Speaker 4: they know because they're watching you, and they're watching you

368
00:17:37,000 --> 00:17:39,840
Speaker 4: entertain these privacy matters and they're going, oh, then this

369
00:17:39,960 --> 00:17:42,280
Speaker 4: is okay to not have any privacy, and I think

370
00:17:42,320 --> 00:17:44,480
Speaker 4: that's not a good thing to teach our kids. The

371
00:17:44,560 --> 00:17:47,520
Speaker 4: second thing is, you know, so first read those firms

372
00:17:47,520 --> 00:17:51,640
Speaker 4: conditions to teach your kids about that not everything needs

373
00:17:51,680 --> 00:17:55,359
Speaker 4: to be public. And then third, make sure that you

374
00:17:55,359 --> 00:17:57,760
Speaker 4: know if you if you don't want to have those

375
00:17:57,880 --> 00:18:00,200
Speaker 4: those things in your life, don't feel like you're you're

376
00:18:00,200 --> 00:18:02,840
Speaker 4: blocked in right. A lot of these technologies will say, well,

377
00:18:03,000 --> 00:18:05,000
Speaker 4: this is the only place to get it. Unless you

378
00:18:05,080 --> 00:18:08,000
Speaker 4: accept our terms, then you can't get anywhere else. And

379
00:18:08,040 --> 00:18:10,720
Speaker 4: that may be true, but don't give into that. Right

380
00:18:10,840 --> 00:18:13,160
Speaker 4: you know, if you if don't trade your privacy because

381
00:18:13,200 --> 00:18:15,639
Speaker 4: you're worried about something else, you can go out and

382
00:18:15,640 --> 00:18:20,600
Speaker 4: buy technologies that have in home systems that do exactly

383
00:18:20,640 --> 00:18:23,600
Speaker 4: the same stuff alert you the same way they'll do

384
00:18:23,720 --> 00:18:26,360
Speaker 4: recognition and it stores all the data in your home.

385
00:18:26,480 --> 00:18:29,120
Speaker 4: So I would just say, is pause in your life

386
00:18:29,160 --> 00:18:33,440
Speaker 4: and become a consumer that really makes the decisions that

387
00:18:33,520 --> 00:18:35,960
Speaker 4: you want, not the ones that you feel you have

388
00:18:36,000 --> 00:18:36,239
Speaker 4: to do.

389
00:18:36,400 --> 00:18:36,720
Speaker 3: Got it?

390
00:18:36,800 --> 00:18:41,320
Speaker 2: Chris Nihei, CEO of since Iva based Vigilant Cybersecurity, Thanks again, brother,

391
00:18:41,359 --> 00:18:42,920
Speaker 2: great information is always appreciated.

392
00:18:43,200 --> 00:18:44,600
Speaker 3: You gotta have a good damn well.

393
00:18:44,640 --> 00:18:46,600
Speaker 2: Check news at about five minutes here, very late as

394
00:18:46,640 --> 00:18:49,160
Speaker 2: that's going on. More fog burning off today and when

395
00:18:49,200 --> 00:18:53,000
Speaker 2: we continue the passing of A. Jesse Jackson at eighty four,

396
00:18:53,040 --> 00:18:56,280
Speaker 2: it's interesting how his hand has shaped civil rights and

397
00:18:56,600 --> 00:18:59,280
Speaker 2: it's not even recognizable today what that movement looks like.

398
00:18:59,280 --> 00:19:01,680
Speaker 2: People say, so right movement that really isn't it changed

399
00:19:01,720 --> 00:19:04,600
Speaker 2: a lot? And he had a hand in that and

400
00:19:04,920 --> 00:19:07,000
Speaker 2: kind of undermined his own his own cause. If you

401
00:19:07,040 --> 00:19:08,919
Speaker 2: will make sense of that coming up next more to

402
00:19:08,920 --> 00:19:13,040
Speaker 2: follow slowly seven hundred w with it. You know, the

403
00:19:13,080 --> 00:19:18,760
Speaker 2: problem with having a business model that is essentially driven

404
00:19:19,720 --> 00:19:22,960
Speaker 2: by attention and also a cause is if you make

405
00:19:23,200 --> 00:19:27,720
Speaker 2: tremendous inroads into solving that problem to the cause, then

406
00:19:27,760 --> 00:19:30,480
Speaker 2: you cease to exist. And this is true in many,

407
00:19:30,560 --> 00:19:34,879
Speaker 2: many organizations, so it's not exclusive to Well. In this case,

408
00:19:35,840 --> 00:19:39,320
Speaker 2: the Rainbow Coalition Jesse Jackson passing away yesterday at the

409
00:19:39,359 --> 00:19:42,920
Speaker 2: age of forty eighty four, life well lived, complicated legacy

410
00:19:42,960 --> 00:19:47,639
Speaker 2: depending on your worldview, for sure. And you know the

411
00:19:48,040 --> 00:19:52,280
Speaker 2: key hope of live rhetoric that he empowered empowered people,

412
00:19:52,280 --> 00:19:53,960
Speaker 2: and you know, you look at the positives. A Rainbow

413
00:19:53,960 --> 00:19:56,879
Speaker 2: Coalition essentially opened this big tent up before it was

414
00:19:56,920 --> 00:20:00,040
Speaker 2: about the black experience and later in the a and

415
00:20:00,119 --> 00:20:02,400
Speaker 2: he's opened that up to include poor whites and Latinos

416
00:20:02,400 --> 00:20:06,640
Speaker 2: and women, LGBTQ individuals and those on the economic margins.

417
00:20:06,680 --> 00:20:10,480
Speaker 2: And so in that regard, it was head of its time. However,

418
00:20:10,640 --> 00:20:12,639
Speaker 2: you know, the idea was that you know, racism is

419
00:20:12,680 --> 00:20:16,120
Speaker 2: alive and well well you know, we saw the coronation

420
00:20:16,200 --> 00:20:19,719
Speaker 2: of a black president. Remember the iconic moment Jesse Jackson's

421
00:20:19,720 --> 00:20:23,200
Speaker 2: crying watching Obama speak and take the oath of office.

422
00:20:24,680 --> 00:20:26,000
Speaker 2: And so if you look at that, it's a lot

423
00:20:26,040 --> 00:20:29,040
Speaker 2: different than when Jesse Jackson was coming up, when you

424
00:20:29,240 --> 00:20:33,080
Speaker 2: had separate drinking fountains, when you had sundown laws, meaning

425
00:20:33,800 --> 00:20:36,679
Speaker 2: and even here in Cincinnati that was true too. There

426
00:20:36,680 --> 00:20:38,840
Speaker 2: are areas of town that you should not be in

427
00:20:38,920 --> 00:20:42,520
Speaker 2: if you were of color because you could be killed

428
00:20:42,840 --> 00:20:46,800
Speaker 2: or at the very least attacked, if not driven out.

429
00:20:46,800 --> 00:20:50,120
Speaker 2: Interracial dating, I mean that seems so long ago, right

430
00:20:50,160 --> 00:20:53,080
Speaker 2: that that was a huge taboo in America all alone,

431
00:20:53,119 --> 00:20:57,720
Speaker 2: the interracial marriages, and now it's very very commonplace. Hell,

432
00:20:57,840 --> 00:21:00,879
Speaker 2: you know, Carde, you have TV shows and people at

433
00:21:00,920 --> 00:21:02,840
Speaker 2: all walks of life, and you know, the back of

434
00:21:02,880 --> 00:21:04,440
Speaker 2: that mantra, it's like, you know, if you're an adult,

435
00:21:04,520 --> 00:21:05,280
Speaker 2: you love who you love.

436
00:21:05,800 --> 00:21:05,919
Speaker 3: Uh.

437
00:21:05,960 --> 00:21:11,800
Speaker 2: And that also extends to people who are LGBTQ. You know,

438
00:21:11,880 --> 00:21:13,920
Speaker 2: had Rosa parks a seat on the back of the bus.

439
00:21:14,000 --> 00:21:17,159
Speaker 2: Today and today the world leans into black culture. I mean,

440
00:21:17,200 --> 00:21:19,680
Speaker 2: if you watch the Olympics, it's it's kind of interesting.

441
00:21:19,720 --> 00:21:23,960
Speaker 2: You see people from all over the world who essentially

442
00:21:23,960 --> 00:21:28,440
Speaker 2: have adopted to some degree hip hop culture. And and

443
00:21:28,480 --> 00:21:30,879
Speaker 2: that was unheard. You know, you could say, well, you know,

444
00:21:31,000 --> 00:21:34,320
Speaker 2: look at you know, black music and Elvis and the

445
00:21:34,359 --> 00:21:36,159
Speaker 2: Blues and all that. Yeah, yeah, yeah, but not to

446
00:21:36,200 --> 00:21:39,800
Speaker 2: the level we see it today for sure. And and

447
00:21:39,920 --> 00:21:43,119
Speaker 2: so is that, you know, part of that Jesse Jackson's legacy.

448
00:21:43,119 --> 00:21:44,440
Speaker 2: I mean, I think he had a hand in there,

449
00:21:44,680 --> 00:21:47,320
Speaker 2: for sure. But if you look at and I mentioned

450
00:21:47,359 --> 00:21:50,760
Speaker 2: how if you do something long enough, successful at it,

451
00:21:50,800 --> 00:21:52,639
Speaker 2: you have to find a reason to keep going.

452
00:21:53,600 --> 00:21:53,800
Speaker 1: You know.

453
00:21:54,040 --> 00:21:56,560
Speaker 2: It's it's like you know, mother, it'd be like the

454
00:21:59,400 --> 00:22:01,560
Speaker 2: I don't know, maybe like Mother's against drunk driving to

455
00:22:01,600 --> 00:22:03,960
Speaker 2: some degree. Is that you know, back in the day,

456
00:22:03,960 --> 00:22:06,160
Speaker 2: people used to drink and drive and the cop would go, okay,

457
00:22:06,200 --> 00:22:09,359
Speaker 2: well i'll follow you home, or you know, hey, you know,

458
00:22:09,520 --> 00:22:11,320
Speaker 2: we'll let you go. It's just a little, you know,

459
00:22:11,400 --> 00:22:14,200
Speaker 2: a little cock eyed, and you know, people started dying,

460
00:22:14,240 --> 00:22:18,040
Speaker 2: and certainly little kids were killed, and it rose this

461
00:22:18,119 --> 00:22:21,119
Speaker 2: whole anti the drinking and driving, the whole culture right

462
00:22:21,240 --> 00:22:24,560
Speaker 2: of designated drivers because of that. Now do people still drive,

463
00:22:24,600 --> 00:22:26,560
Speaker 2: for oh absolutely, But it's not like it used to be.

464
00:22:26,600 --> 00:22:30,520
Speaker 2: I think A better parallel would be smoking. You know,

465
00:22:30,560 --> 00:22:33,240
Speaker 2: we have we won the war on smoking. Yes, yes,

466
00:22:33,359 --> 00:22:38,440
Speaker 2: we have literally so few people smoke today it really

467
00:22:38,480 --> 00:22:41,680
Speaker 2: is not significant compare to us. Hell, even in my lifetime,

468
00:22:41,920 --> 00:22:43,879
Speaker 2: go back to the eighties and nineties for that matter.

469
00:22:44,080 --> 00:22:44,640
Speaker 6: You know we have.

470
00:22:44,680 --> 00:22:47,520
Speaker 2: Vaping now, and vaping is well, you know you shouldn't

471
00:22:47,520 --> 00:22:49,800
Speaker 2: have the same people are against it. We're against public

472
00:22:49,840 --> 00:22:52,240
Speaker 2: smoking because the second hand smoker now after vapors, even

473
00:22:52,280 --> 00:22:56,040
Speaker 2: though it's second hand steam, and it's just it's it's

474
00:22:56,080 --> 00:22:58,399
Speaker 2: the appearance of smoke. It's not really smoke. And so

475
00:22:58,640 --> 00:23:01,879
Speaker 2: in order to remain relevant, keep the funding coming, whether

476
00:23:01,960 --> 00:23:04,760
Speaker 2: it's those groups or Jesse Jackson Rainbow Coalition, you have

477
00:23:04,840 --> 00:23:08,000
Speaker 2: to exacerbated other problems. It's much worse today than it was.

478
00:23:08,000 --> 00:23:10,560
Speaker 2: Why because it's more it's more underground.

479
00:23:10,400 --> 00:23:10,680
Speaker 6: Is it.

480
00:23:12,640 --> 00:23:14,680
Speaker 2: You know you can also say take a victory lap

481
00:23:14,720 --> 00:23:17,840
Speaker 2: and said, you know, I've seen the world change in

482
00:23:17,880 --> 00:23:20,840
Speaker 2: my lifetime for the better in that regard. But if

483
00:23:20,840 --> 00:23:23,280
Speaker 2: you do that, then it undermines your cause, is the problem.

484
00:23:24,480 --> 00:23:26,920
Speaker 2: And if you look at how the civil rights movement

485
00:23:26,960 --> 00:23:29,199
Speaker 2: has changed, you know, the old model is hierarchical. It

486
00:23:29,240 --> 00:23:32,280
Speaker 2: was preacher Centergy at King he had Jackson Ralph Abernethy

487
00:23:32,600 --> 00:23:36,399
Speaker 2: preaching from the pulpit and they were charismatic and they

488
00:23:36,440 --> 00:23:39,080
Speaker 2: spoke about the movement. Today it's it's much much different.

489
00:23:39,840 --> 00:23:40,040
Speaker 5: You know.

490
00:23:40,080 --> 00:23:42,199
Speaker 2: You look at maybe Black Lives Matter, which is very

491
00:23:42,200 --> 00:23:47,080
Speaker 2: polarized and broken in some ways, in many ways, and

492
00:23:47,119 --> 00:23:50,040
Speaker 2: it's deliberately it's leaderless by design. We saw that with

493
00:23:50,280 --> 00:23:53,440
Speaker 2: what was it, the Occupy Wall Street movement back in

494
00:23:53,440 --> 00:23:56,240
Speaker 2: the two thousands, and no one understood what was going

495
00:23:56,240 --> 00:23:58,000
Speaker 2: on there. It's like we have there's no leadership and

496
00:23:58,040 --> 00:24:00,680
Speaker 2: there's no no head of this. Well, how is that possible?

497
00:24:00,720 --> 00:24:04,160
Speaker 2: And it's by design. It's a strength and a weakness.

498
00:24:05,840 --> 00:24:08,720
Speaker 2: And you know, the Black church was the instigtional backbone

499
00:24:08,760 --> 00:24:10,600
Speaker 2: of the civil rights movement when he was coming up,

500
00:24:11,359 --> 00:24:13,959
Speaker 2: because it was the meeting hall, it was the fundraising,

501
00:24:14,000 --> 00:24:16,840
Speaker 2: the moral authority. In today's it's much more secular because

502
00:24:16,840 --> 00:24:19,480
Speaker 2: we have leaned away from church. Now are all young

503
00:24:19,520 --> 00:24:21,560
Speaker 2: people doing that? No? No, no, we've seen a rise

504
00:24:21,640 --> 00:24:24,680
Speaker 2: and how even the numbers for young people leaning into

505
00:24:24,680 --> 00:24:27,080
Speaker 2: Catholicism an increased. But it's you know, they've got a

506
00:24:27,080 --> 00:24:28,760
Speaker 2: long way to go to get back to the glory days.

507
00:24:28,760 --> 00:24:30,840
Speaker 2: I don't think you're ever going to do that. Younger

508
00:24:30,880 --> 00:24:34,920
Speaker 2: activists have less church and the energy is shifted away

509
00:24:34,920 --> 00:24:37,920
Speaker 2: from the pulpit to social media rather than sanctuaries. That

510
00:24:38,080 --> 00:24:40,800
Speaker 2: that's a huge structural shift are seeing today and have

511
00:24:40,920 --> 00:24:44,480
Speaker 2: seen for a while now with the generation, certainly millennials,

512
00:24:44,520 --> 00:24:48,440
Speaker 2: but especially Gen Zers and so, you know, a movement

513
00:24:48,480 --> 00:24:52,840
Speaker 2: can go from zero to national and literally hours after

514
00:24:52,880 --> 00:24:56,040
Speaker 2: a viral video. We didn't see that in the past.

515
00:24:56,040 --> 00:24:57,880
Speaker 2: It took a while. If you look at the marches

516
00:24:57,920 --> 00:25:01,960
Speaker 2: there's Selma, you know, burming Ham in the South that

517
00:25:02,160 --> 00:25:04,600
Speaker 2: back then in the sixties, it took a lot of

518
00:25:04,600 --> 00:25:06,439
Speaker 2: effort to get that many people together to get a

519
00:25:06,480 --> 00:25:09,080
Speaker 2: motivated to go down there and create those marches. Now

520
00:25:09,160 --> 00:25:12,760
Speaker 2: literally because of the Internet and because of viral videos.

521
00:25:13,080 --> 00:25:15,439
Speaker 2: It because look at how long it took. I mean

522
00:25:15,440 --> 00:25:18,719
Speaker 2: it took literally weeks to organize the movement from the

523
00:25:18,760 --> 00:25:21,960
Speaker 2: north to bring people down in buses for the marches.

524
00:25:22,280 --> 00:25:24,840
Speaker 2: Back in the sixties. That took a tremendous amount of

525
00:25:24,840 --> 00:25:27,840
Speaker 2: effort and resources, time and money to get that all organized.

526
00:25:28,119 --> 00:25:30,560
Speaker 2: You know, we saw the results of it in the marches,

527
00:25:30,640 --> 00:25:32,680
Speaker 2: but you didn't see the work behind the scenes from

528
00:25:32,680 --> 00:25:36,120
Speaker 2: people like Jesse Jackson others that mobilized from those church

529
00:25:36,160 --> 00:25:39,720
Speaker 2: pulpits around the North and the Midwest and elsewhere to

530
00:25:39,720 --> 00:25:42,800
Speaker 2: get people to go down there. Today you have you know,

531
00:25:42,840 --> 00:25:47,000
Speaker 2: George Floyd for example, it literally started, the protesters started

532
00:25:47,040 --> 00:25:48,960
Speaker 2: right or what's happening in Minnesota right now with Ice.

533
00:25:49,119 --> 00:25:51,560
Speaker 2: You saw the protesters and you know, now you've got

534
00:25:51,600 --> 00:25:54,240
Speaker 2: people flying in from all over the country right or wrong

535
00:25:54,280 --> 00:25:56,760
Speaker 2: to take part in that whole thing. That's where that

536
00:25:56,920 --> 00:26:00,480
Speaker 2: is today. So you know, it's not about the church anymore.

537
00:26:00,520 --> 00:26:03,440
Speaker 2: It's more about the Internet, the church of the Internet.

538
00:26:03,960 --> 00:26:08,800
Speaker 2: So you can make something because of viral videos transcend

539
00:26:08,840 --> 00:26:11,920
Speaker 2: a lot faster. It's so volatile right now, you don't

540
00:26:11,960 --> 00:26:13,960
Speaker 2: need to build the infrastructure that he did, and so

541
00:26:14,480 --> 00:26:18,359
Speaker 2: you can flash mobilize millions, now, can you. I guess

542
00:26:18,359 --> 00:26:20,680
Speaker 2: the other part is because of the foundation of this thing,

543
00:26:21,640 --> 00:26:23,720
Speaker 2: because you're not starting with the bricks and building a

544
00:26:23,720 --> 00:26:27,360
Speaker 2: pyramid up. What's happening is, yeah, you can flash mobilize

545
00:26:27,359 --> 00:26:31,200
Speaker 2: millions of people, but does that movement then have any

546
00:26:31,240 --> 00:26:33,760
Speaker 2: staying power because of our attention span. We're on the

547
00:26:33,760 --> 00:26:38,359
Speaker 2: next thing, and you know, today's civil rights conversation is

548
00:26:38,520 --> 00:26:40,720
Speaker 2: perspective of a white guy here, so take it for

549
00:26:40,800 --> 00:26:46,680
Speaker 2: what it is. But today it's more intersectional than Jackson was,

550
00:26:46,720 --> 00:26:49,719
Speaker 2: because now it's not just about race. They've also folded

551
00:26:49,720 --> 00:26:53,040
Speaker 2: in gender and sexual orientation, now immigration and women and

552
00:26:53,280 --> 00:26:54,959
Speaker 2: pretty much anyone with the beef. And that's why if

553
00:26:54,960 --> 00:26:56,879
Speaker 2: you're older like me, you look at it and go, okay,

554
00:26:57,480 --> 00:26:59,239
Speaker 2: you see some sort of rally or you see some

555
00:26:59,280 --> 00:27:02,520
Speaker 2: sort of protest, and there's all these different signs out there.

556
00:27:04,080 --> 00:27:07,159
Speaker 2: What are you protesting? This isn't about the core of

557
00:27:07,160 --> 00:27:08,879
Speaker 2: it with civil rights, but you knew it was with

558
00:27:08,880 --> 00:27:11,680
Speaker 2: the black experience, and it was about Jim Crow laws,

559
00:27:11,720 --> 00:27:13,560
Speaker 2: and it was about all of these things I mentioned

560
00:27:14,240 --> 00:27:18,600
Speaker 2: in trying to treat an individual under the Constitution like

561
00:27:18,640 --> 00:27:22,280
Speaker 2: anyone else regards to their skin color. Right, that's the

562
00:27:22,320 --> 00:27:25,240
Speaker 2: central theme of his speeches of king speeches anyway, and

563
00:27:25,520 --> 00:27:29,240
Speaker 2: Jesse Jackson today and now today it's much much different.

564
00:27:29,320 --> 00:27:31,200
Speaker 2: Like it's confusing if you're older to look at it,

565
00:27:31,280 --> 00:27:34,080
Speaker 2: go okay, Well, you've got you've got people of collar,

566
00:27:34,160 --> 00:27:37,440
Speaker 2: you've got latinos, you've got LATINX whatever that is that

567
00:27:37,760 --> 00:27:41,280
Speaker 2: you have LGBTQ, plus you have all these agrieved parties

568
00:27:41,320 --> 00:27:43,680
Speaker 2: and it looks like it's his mishmash of just people

569
00:27:43,680 --> 00:27:45,840
Speaker 2: are pissed off of the world. But that's the thing is,

570
00:27:46,320 --> 00:27:49,159
Speaker 2: you know, today it's my group. Tomorrow I'll be there

571
00:27:49,160 --> 00:27:51,119
Speaker 2: supporting your group, kind of like a union. You know,

572
00:27:51,520 --> 00:27:53,320
Speaker 2: one goes on stright, they I'll go on strike. It's

573
00:27:53,359 --> 00:27:56,880
Speaker 2: it's kind of the same feel where it is now

574
00:27:56,960 --> 00:28:00,320
Speaker 2: the power of all those micro groups out that are

575
00:28:00,400 --> 00:28:02,320
Speaker 2: leaning in together, which is why it looks, you know,

576
00:28:02,520 --> 00:28:04,200
Speaker 2: the problem is like why all these people out there,

577
00:28:04,240 --> 00:28:07,679
Speaker 2: whether it's you know, Black Lives Matter, or what's happening

578
00:28:07,760 --> 00:28:10,399
Speaker 2: with ice the outfield, or I don't know, it has

579
00:28:10,440 --> 00:28:12,679
Speaker 2: to do with you know, gay and lesbian issues for

580
00:28:12,720 --> 00:28:16,919
Speaker 2: that matter. And after twenty twenty, after George Floyd, that

581
00:28:17,000 --> 00:28:19,240
Speaker 2: was a turning point too for DEI, and of course

582
00:28:19,240 --> 00:28:21,960
Speaker 2: everyone leaned into that. And now, as always, the pendulum

583
00:28:22,000 --> 00:28:23,399
Speaker 2: swings back the other way, going, hey, you know, we

584
00:28:23,440 --> 00:28:25,679
Speaker 2: went too far with this stuff, and rightly so, and

585
00:28:25,720 --> 00:28:27,520
Speaker 2: we probably will swing back the other way at some

586
00:28:27,560 --> 00:28:29,760
Speaker 2: point as well. That's just how America is. We're kind

587
00:28:29,760 --> 00:28:32,080
Speaker 2: of fickle in that regard. So you know, at the

588
00:28:32,119 --> 00:28:33,920
Speaker 2: time and back in the day when he was coming

589
00:28:34,000 --> 00:28:36,240
Speaker 2: up and he witnessed I mean, he was there for

590
00:28:36,400 --> 00:28:38,720
Speaker 2: the assassination of Martin Luther King Junior. He was on

591
00:28:38,760 --> 00:28:42,200
Speaker 2: the balcony at the Lorraine Hotel. And that is much

592
00:28:42,280 --> 00:28:44,720
Speaker 2: different that we're seeing today. You know, he was just

593
00:28:45,160 --> 00:28:48,000
Speaker 2: fighting for access to voting and jobs and education. Today

594
00:28:48,040 --> 00:28:50,120
Speaker 2: it's not just about inclusion. It's not just about to

595
00:28:50,120 --> 00:28:54,160
Speaker 2: see the table. It's about you know, defunding police, abolishing

596
00:28:54,160 --> 00:28:57,760
Speaker 2: police reparations and all of these radical clauses and things

597
00:28:57,760 --> 00:29:00,440
Speaker 2: that a number of groups are leaning in too. But

598
00:29:00,560 --> 00:29:02,960
Speaker 2: I think that's a confusing part as younger people get

599
00:29:02,960 --> 00:29:04,600
Speaker 2: that if you're older, you just don't. And that's the

600
00:29:04,600 --> 00:29:08,560
Speaker 2: way the world works for sure. And I think voting

601
00:29:08,640 --> 00:29:11,440
Speaker 2: rights it's critically I'll look at what we're doing with

602
00:29:11,480 --> 00:29:15,320
Speaker 2: the say of America Act, right, that is still a

603
00:29:15,360 --> 00:29:17,800
Speaker 2: central line through all this stuff. So I don't know,

604
00:29:17,800 --> 00:29:20,000
Speaker 2: you can say what you will about that. People will

605
00:29:20,000 --> 00:29:22,040
Speaker 2: still be complaining and protesting. And that's the way the

606
00:29:22,080 --> 00:29:23,760
Speaker 2: world works here in America anyway, because we have that

607
00:29:23,840 --> 00:29:26,800
Speaker 2: right to do it. But you know, Jesse Jackson, again,

608
00:29:26,840 --> 00:29:28,920
Speaker 2: I think at the end of life, probably you know,

609
00:29:29,080 --> 00:29:31,160
Speaker 2: trying to keep trying to keep his movement going, but

610
00:29:31,200 --> 00:29:33,560
Speaker 2: it's been surpassed by what I just described here, and

611
00:29:33,600 --> 00:29:36,719
Speaker 2: so you have become neutered or irrelevant I suppose compared

612
00:29:36,760 --> 00:29:38,760
Speaker 2: to It doesn't mean, you know, you can't look back

613
00:29:38,800 --> 00:29:40,560
Speaker 2: and these groups can't go back and go, Okay, well

614
00:29:40,560 --> 00:29:43,280
Speaker 2: he got us to this point. Uh, and we have

615
00:29:43,360 --> 00:29:45,760
Speaker 2: now taken that movement over. But you know that that's

616
00:29:46,040 --> 00:29:49,880
Speaker 2: yesterday's news, so to speak. So like any organization, uh,

617
00:29:49,920 --> 00:29:54,120
Speaker 2: if you're successful, you really can't admit it. And at

618
00:29:54,120 --> 00:29:56,160
Speaker 2: the same time, you know you have to continue to

619
00:29:56,240 --> 00:29:59,560
Speaker 2: exist because of the infrastructure that's in place today. It's

620
00:29:59,640 --> 00:30:02,920
Speaker 2: much it's all online giving and you know, go fundmes

621
00:30:02,920 --> 00:30:05,200
Speaker 2: and everything else in it, but it doesn't have the

622
00:30:05,640 --> 00:30:07,840
Speaker 2: I guess it just doesn't have the infrastructure that a

623
00:30:07,880 --> 00:30:11,280
Speaker 2: group like a Rainbow Push ad where it literally started

624
00:30:11,280 --> 00:30:14,080
Speaker 2: as a grassroots effort. Today's grassroots are much different. It's

625
00:30:14,080 --> 00:30:15,560
Speaker 2: all driven by the Internet, and then you're out of

626
00:30:15,600 --> 00:30:17,400
Speaker 2: the next thing. And it's not good or bad. It's

627
00:30:17,440 --> 00:30:20,240
Speaker 2: not a judgment. It's just the way things are because

628
00:30:20,280 --> 00:30:22,560
Speaker 2: back then you had this legitimate infrastry and you've got

629
00:30:22,600 --> 00:30:24,160
Speaker 2: to feed that system. You know, the money's got to

630
00:30:24,200 --> 00:30:25,360
Speaker 2: trickle back down to the bottom.

631
00:30:25,360 --> 00:30:25,640
Speaker 6: Today.

632
00:30:25,680 --> 00:30:27,760
Speaker 2: It's you know, you can just pay someone directly or

633
00:30:27,760 --> 00:30:30,080
Speaker 2: pay a cause directly, and so it goes, so it goes.

634
00:30:30,120 --> 00:30:33,120
Speaker 2: So anyway, Jesse Jackson passing at the age eighty four,

635
00:30:35,520 --> 00:30:37,000
Speaker 2: and I think he'd been sick for a while. If

636
00:30:37,040 --> 00:30:42,080
Speaker 2: I'm not mistaken, I believe so. Yeah, So we have

637
00:30:42,240 --> 00:30:45,520
Speaker 2: the searcher in Nancy Guthrie entering its third week. We're

638
00:30:45,520 --> 00:30:47,920
Speaker 2: in a week three of this thing right now, and she,

639
00:30:48,040 --> 00:30:51,280
Speaker 2: of course disappeared from her home sixteen days ago. FBI

640
00:30:51,400 --> 00:30:54,160
Speaker 2: has doubled the reward to one hundred thousand dollars. I said,

641
00:30:54,200 --> 00:30:57,640
Speaker 2: did you see the video of Savannah Guthrie? She ristled

642
00:30:57,680 --> 00:30:59,720
Speaker 2: a no video this weekend. I think she's like doing

643
00:30:59,720 --> 00:31:01,800
Speaker 2: one week maybe, and it was a two week mark

644
00:31:01,840 --> 00:31:05,160
Speaker 2: since her mother's disappearance. And I want to circle back

645
00:31:05,200 --> 00:31:07,920
Speaker 2: on that thing, because you could there's an express if

646
00:31:08,800 --> 00:31:10,640
Speaker 2: maybe if you you know, if you are heavily into

647
00:31:10,680 --> 00:31:13,720
Speaker 2: social media or you know, in my case, you know

648
00:31:13,760 --> 00:31:15,880
Speaker 2: you're in media and you follow these things in news

649
00:31:15,920 --> 00:31:19,320
Speaker 2: cycles and things like that. It's it's really interesting what

650
00:31:19,680 --> 00:31:22,320
Speaker 2: her eyes and her body language was saying in that

651
00:31:22,400 --> 00:31:24,800
Speaker 2: video that her mouth wasn't. I'll circle back on that

652
00:31:24,840 --> 00:31:27,120
Speaker 2: in just a second. But the latest is they found

653
00:31:27,120 --> 00:31:29,200
Speaker 2: this glove with the DNA profile. I'm really not that new,

654
00:31:29,240 --> 00:31:32,000
Speaker 2: but there are trace evidence of DNA in that thing,

655
00:31:32,560 --> 00:31:36,000
Speaker 2: and it looks like the pair that was worn by

656
00:31:36,120 --> 00:31:39,760
Speaker 2: the individual and surveillance video on that camera outside Nanty

657
00:31:39,840 --> 00:31:42,320
Speaker 2: Guthrie's home when she disappeared, and the timeline works with

658
00:31:42,360 --> 00:31:45,440
Speaker 2: this thing. Although a lot of experts say, well, it

659
00:31:45,440 --> 00:31:46,840
Speaker 2: was a mile and a half away. I sawn on

660
00:31:46,840 --> 00:31:49,120
Speaker 2: the side of the road. There's a lot of trash

661
00:31:49,160 --> 00:31:52,280
Speaker 2: on roadsides. Does it mean that that glove even though

662
00:31:52,280 --> 00:31:53,880
Speaker 2: it looked like it was the one that guy was wearing.

663
00:31:53,920 --> 00:31:56,640
Speaker 2: There's blackbird rubber goes you probably you know it's probably

664
00:31:56,640 --> 00:31:58,480
Speaker 2: one of those hidden plane side things. Is you don't

665
00:31:58,520 --> 00:32:02,240
Speaker 2: notice it until you see one that probably all over

666
00:32:02,280 --> 00:32:04,520
Speaker 2: you just never notice them because they're e in food

667
00:32:04,560 --> 00:32:08,440
Speaker 2: services and pretty much everything else. They're aubiquitous. Whether or

668
00:32:08,440 --> 00:32:11,360
Speaker 2: not that DNA is tied to the individual we saw

669
00:32:11,360 --> 00:32:14,320
Speaker 2: in the video or those responsible disappearance yet to be determined.

670
00:32:14,360 --> 00:32:16,680
Speaker 2: And how usable is that DNA that's the other question.

671
00:32:18,080 --> 00:32:21,160
Speaker 2: The sheriff yesterday, Chris Nanos came out and said the

672
00:32:21,160 --> 00:32:24,720
Speaker 2: Guthrie family, including siblings, spouses, extended, failed me. Everyone has

673
00:32:24,760 --> 00:32:27,920
Speaker 2: been cleared as possible suspects, and they've been nothing but

674
00:32:28,120 --> 00:32:30,760
Speaker 2: cooperative and graciously said that they are the true victims

675
00:32:30,760 --> 00:32:33,640
Speaker 2: in this case. And sometimes we forget we're human. We

676
00:32:33,760 --> 00:32:36,440
Speaker 2: hurt and kindness matters, and we got to stand up

677
00:32:36,440 --> 00:32:38,000
Speaker 2: and be the voice for our victims. If I'm not

678
00:32:38,040 --> 00:32:40,160
Speaker 2: going to sit in silence when others are attacking the innocent.

679
00:32:40,240 --> 00:32:44,680
Speaker 2: Isn't that what the badge represents? Well, said sir not

680
00:32:44,760 --> 00:32:47,320
Speaker 2: on is it wrong? It's cruel, But we also have

681
00:32:47,400 --> 00:32:49,760
Speaker 2: human nature and I'll bring this back real quick too.

682
00:32:50,960 --> 00:32:52,880
Speaker 2: When the when the when we had the big mac

683
00:32:52,920 --> 00:32:56,280
Speaker 2: bridge fire and we caught a lot of heat. I

684
00:32:56,360 --> 00:32:58,400
Speaker 2: caught a lot of heat from people saying, well, why

685
00:32:58,400 --> 00:33:00,360
Speaker 2: are you throwing homeless people under the bus. It wasn't

686
00:33:00,360 --> 00:33:02,360
Speaker 2: throw homeless people of the bus. How do you solve

687
00:33:02,400 --> 00:33:04,760
Speaker 2: an investment? How you start an investigation? It starts with

688
00:33:04,800 --> 00:33:09,280
Speaker 2: the people closest to where the crime occurred. You know,

689
00:33:09,480 --> 00:33:12,080
Speaker 2: if if the if the bridge is on fire, bridge

690
00:33:12,080 --> 00:33:13,960
Speaker 2: burns away saw the video like, okay, who do you

691
00:33:14,040 --> 00:33:16,680
Speaker 2: talk to? Do you talk to people in Blue Ash.

692
00:33:16,720 --> 00:33:19,120
Speaker 2: Do you talk to people in the central business district?

693
00:33:19,400 --> 00:33:23,600
Speaker 2: Do you start canvassing northside? Do who's around the middle

694
00:33:23,640 --> 00:33:27,120
Speaker 2: of the night under bridges? Homeless people? You start the

695
00:33:27,160 --> 00:33:31,560
Speaker 2: investigation there and it could very well be someone who

696
00:33:31,680 --> 00:33:35,160
Speaker 2: was homeless, or if you're homeless and you're around there

697
00:33:35,160 --> 00:33:37,360
Speaker 2: and maybe you saw something so of course that it's

698
00:33:37,360 --> 00:33:40,000
Speaker 2: not beating, it's not punching down, and it's you know,

699
00:33:40,160 --> 00:33:43,840
Speaker 2: speaking of the interwebs, you know, the activist revolution out there. No,

700
00:33:43,880 --> 00:33:47,040
Speaker 2: that's where you would start an investigation, naturally, the bridge people,

701
00:33:47,400 --> 00:33:50,120
Speaker 2: you know. I guess if something like this happened on

702
00:33:50,640 --> 00:33:54,120
Speaker 2: rail lines, you'd probably talk to people who work along

703
00:33:54,120 --> 00:33:56,680
Speaker 2: the rails. You talk to conductors and engineers. I don't

704
00:33:56,680 --> 00:33:58,640
Speaker 2: know if there's still hobos, if that's a thing or not,

705
00:33:58,760 --> 00:34:02,720
Speaker 2: but maybe that would be a good place to start, right,

706
00:34:03,640 --> 00:34:06,760
Speaker 2: same thing here with the Nancy Guthrie disappearance. You start

707
00:34:06,800 --> 00:34:09,280
Speaker 2: with the family. Usually ninety nine times of one hundreds

708
00:34:09,320 --> 00:34:12,160
Speaker 2: of people closest to them, you start with family, friends,

709
00:34:12,160 --> 00:34:14,399
Speaker 2: known associate. It's the last person they made contact with.

710
00:34:14,480 --> 00:34:16,799
Speaker 2: Those are always the first people that they would talk

711
00:34:16,840 --> 00:34:19,480
Speaker 2: to and either rule and rule out his subs of suspects,

712
00:34:19,480 --> 00:34:21,440
Speaker 2: and so that makes sense. But I'm glad he came

713
00:34:21,480 --> 00:34:24,759
Speaker 2: out and said, okay, enough of the armchair. You know,

714
00:34:24,840 --> 00:34:27,920
Speaker 2: podcasters trying to figure out who done it when you

715
00:34:27,920 --> 00:34:30,120
Speaker 2: don't have the information and evidence that we have we

716
00:34:30,160 --> 00:34:32,360
Speaker 2: haven't released yet. Is also part of the problem, is

717
00:34:32,440 --> 00:34:34,799
Speaker 2: we just don't have the information the FBI and local

718
00:34:34,840 --> 00:34:37,520
Speaker 2: authorities have. It's just saying, okay, enough already, we've ruled

719
00:34:37,560 --> 00:34:41,120
Speaker 2: them out. It's not any of the family members. Quit

720
00:34:41,160 --> 00:34:44,040
Speaker 2: beating these people up. I mentioned Savannah Guthrie as part

721
00:34:44,040 --> 00:34:46,160
Speaker 2: of that as well, at she has suspect in this well,

722
00:34:46,160 --> 00:34:49,160
Speaker 2: of course not, but her eyes, in her body language

723
00:34:49,160 --> 00:34:51,279
Speaker 2: it told me something because she is a journalist and

724
00:34:51,320 --> 00:34:55,000
Speaker 2: she understands a news cycle. And what I saw in

725
00:34:55,040 --> 00:34:58,680
Speaker 2: her mannerisms, in her eyes, not her words, told me

726
00:34:58,719 --> 00:35:00,399
Speaker 2: a lot. It's like she put, this is the last

727
00:35:00,480 --> 00:35:03,120
Speaker 2: videot on Sunday, knowing that this may be it in

728
00:35:03,160 --> 00:35:06,640
Speaker 2: a sense, is that we're going to lose interest this week,

729
00:35:06,960 --> 00:35:10,160
Speaker 2: and then Nancy Guthrie case barring. You know, nothing happening

730
00:35:10,160 --> 00:35:13,279
Speaker 2: news wise, but the news cycle always produces something that's

731
00:35:13,320 --> 00:35:17,200
Speaker 2: more gripping and relevant and interesting, and it's sad but

732
00:35:17,239 --> 00:35:20,120
Speaker 2: it's true. We can only focus on one issue at

733
00:35:20,120 --> 00:35:22,560
Speaker 2: a time, one atrocity at a time, and if something

734
00:35:22,600 --> 00:35:26,400
Speaker 2: pops this week, that'll push this off the front page.

735
00:35:26,719 --> 00:35:28,360
Speaker 2: You know, you're coming trying to come with new angles.

736
00:35:28,400 --> 00:35:31,279
Speaker 2: There's really nothing there. We'll be interested with something else

737
00:35:31,280 --> 00:35:33,640
Speaker 2: which hurts them, because you need the public engage in

738
00:35:33,719 --> 00:35:35,759
Speaker 2: order to solve this thing. And I think I think

739
00:35:36,080 --> 00:35:38,359
Speaker 2: you know, certainly Savannah knew that and watched his video

740
00:35:38,400 --> 00:35:41,799
Speaker 2: go she kind of knows, like, we've got to get

741
00:35:41,840 --> 00:35:43,600
Speaker 2: this thing done in the next couple hours here, a

742
00:35:43,600 --> 00:35:46,319
Speaker 2: couple of days, because the public interests can start to

743
00:35:46,320 --> 00:35:48,080
Speaker 2: find in the media is going to move on and

744
00:35:48,239 --> 00:35:49,799
Speaker 2: social media is going to move on for that matter.

745
00:35:50,120 --> 00:35:50,839
Speaker 2: That's just how it works.

746
00:35:50,880 --> 00:35:51,120
Speaker 3: Anyway.

747
00:35:51,120 --> 00:35:54,160
Speaker 2: I got to get a news update in and coming up.

748
00:35:54,280 --> 00:35:57,719
Speaker 2: At ten oh six this morning. Greg Lawson's here Buckeye Institute.

749
00:35:57,800 --> 00:36:01,360
Speaker 2: He was testifying in front of the legislator about improving

750
00:36:01,360 --> 00:36:04,560
Speaker 2: our energy pause we debate AI and data centers and

751
00:36:04,600 --> 00:36:08,440
Speaker 2: all this stuff and advanced manufacturing. The load on our

752
00:36:08,800 --> 00:36:10,719
Speaker 2: power bill for just me and you, it's going through

753
00:36:10,719 --> 00:36:12,480
Speaker 2: the roof and it's not going to stop anytime soon.

754
00:36:12,840 --> 00:36:15,200
Speaker 2: How much can Columbus help us in that regard. He's

755
00:36:15,239 --> 00:36:16,799
Speaker 2: next on the show on the Home of the Red

756
00:36:16,800 --> 00:36:18,520
Speaker 2: seven hundred WWD Cincinnati.

757
00:36:18,640 --> 00:36:20,920
Speaker 5: I don't want to be an American idiot.

758
00:36:21,640 --> 00:36:24,560
Speaker 2: Got flowing back on seven hundred w welw so E.

759
00:36:24,560 --> 00:36:27,400
Speaker 2: Electricity demand. We cannot talk enough about it on the

760
00:36:27,440 --> 00:36:30,640
Speaker 2: show simply because we are getting We're gonna get squeez

761
00:36:30,680 --> 00:36:31,480
Speaker 2: We're getting squeezed.

762
00:36:31,480 --> 00:36:31,680
Speaker 6: Now.

763
00:36:32,239 --> 00:36:34,400
Speaker 2: You know, your electric rates are going up, and that

764
00:36:34,520 --> 00:36:37,880
Speaker 2: is because of just an incredible amount of demand, and

765
00:36:37,920 --> 00:36:39,960
Speaker 2: that is going to get worse because of the rise

766
00:36:40,000 --> 00:36:42,160
Speaker 2: of data centers. So you got AI, you got EV's,

767
00:36:42,160 --> 00:36:44,280
Speaker 2: you got Crypto, you got all these things. And Ohio

768
00:36:44,400 --> 00:36:46,880
Speaker 2: right now is we're top five in the country. We

769
00:36:46,920 --> 00:36:50,520
Speaker 2: want to be number one and well positioned to have

770
00:36:50,560 --> 00:36:54,640
Speaker 2: a huge role as being an energy energy contributor. And

771
00:36:54,680 --> 00:36:57,279
Speaker 2: we've had legislative reforms that have helped with as well.

772
00:36:57,280 --> 00:37:00,120
Speaker 2: But there's also the local battles across the state on

773
00:37:00,160 --> 00:37:01,919
Speaker 2: how to live with these giant facilities matter of factor

774
00:37:01,920 --> 00:37:03,920
Speaker 2: tomorrow and have somebody down from Adams County who's who's

775
00:37:03,920 --> 00:37:07,560
Speaker 2: fighting the data centers out there? But every area has

776
00:37:07,640 --> 00:37:11,080
Speaker 2: a battle over data centers. We Cincinnati put a moratorium

777
00:37:11,080 --> 00:37:13,919
Speaker 2: on him, just because it's so new and it's coming

778
00:37:13,960 --> 00:37:15,839
Speaker 2: at us so fast. We need to kind of pump

779
00:37:15,880 --> 00:37:18,799
Speaker 2: the brakes and say, okay, what are the guidelines here.

780
00:37:18,800 --> 00:37:22,080
Speaker 2: We need to have some bumpers on the edges, if

781
00:37:22,120 --> 00:37:24,600
Speaker 2: you will, kind of like you know, bowling for little kids.

782
00:37:24,600 --> 00:37:27,560
Speaker 2: You got to put some bumpers up because we don't

783
00:37:27,600 --> 00:37:29,600
Speaker 2: know where this is going. We do know what's a huge,

784
00:37:29,760 --> 00:37:34,319
Speaker 2: huge energy suck which drives prices up so on. That

785
00:37:34,440 --> 00:37:37,480
Speaker 2: is Greg Lawson, our buddy from Buckeye Institute in Columbus,

786
00:37:37,480 --> 00:37:40,359
Speaker 2: who recently testified in front of the state legislature on this. Greg,

787
00:37:40,400 --> 00:37:40,799
Speaker 2: welcome back.

788
00:37:40,920 --> 00:37:43,560
Speaker 5: Are you doing great? Wonderful to be on.

789
00:37:43,760 --> 00:37:45,479
Speaker 2: Yeah, I don't think I can, and I have talked

790
00:37:45,480 --> 00:37:47,359
Speaker 2: a lot of that talk about this enough because this

791
00:37:47,440 --> 00:37:51,080
Speaker 2: affects every person listening, and this is the future of

792
00:37:51,120 --> 00:37:54,239
Speaker 2: what energy consumption and demand is going to look like

793
00:37:54,239 --> 00:37:55,640
Speaker 2: here in the state. We've got to get it right

794
00:37:55,680 --> 00:37:56,280
Speaker 2: from the jump.

795
00:37:57,560 --> 00:37:59,880
Speaker 5: We absolutely do. It's one of the most important issues

796
00:38:00,080 --> 00:38:02,760
Speaker 5: we face, the data center issue. There's a lot of

797
00:38:02,960 --> 00:38:05,120
Speaker 5: you know, there's a lot of different aspects that including

798
00:38:05,160 --> 00:38:08,479
Speaker 5: all the local issues and concerns. I also point out

799
00:38:08,800 --> 00:38:11,440
Speaker 5: as I, as I testified actually to the State Senate

800
00:38:11,840 --> 00:38:15,600
Speaker 5: Committee last week. You know, AI and data centers isn't

801
00:38:15,640 --> 00:38:18,480
Speaker 5: just about jobs and economic development, although that is certainly

802
00:38:18,600 --> 00:38:21,920
Speaker 5: a portion of it. It's now a national security issue.

803
00:38:21,960 --> 00:38:24,160
Speaker 5: I mean, we're kind of talking, you could be a

804
00:38:24,160 --> 00:38:26,560
Speaker 5: little high fallute with the rhetoric, but basically this is

805
00:38:26,640 --> 00:38:29,160
Speaker 5: kind of like a Sputnik moment because we've got competition

806
00:38:29,239 --> 00:38:32,799
Speaker 5: with China. So there is literally national security implications that

807
00:38:32,840 --> 00:38:36,320
Speaker 5: are very much interpligned with this that cannot be ignored,

808
00:38:36,320 --> 00:38:38,279
Speaker 5: and I think we need to kind of keep that

809
00:38:38,400 --> 00:38:40,920
Speaker 5: uppermost in my mind where we're talking about, you know,

810
00:38:41,000 --> 00:38:43,480
Speaker 5: some of the how we apply bumpers and things like

811
00:38:43,520 --> 00:38:46,600
Speaker 5: that right as well. But energy lies at the core

812
00:38:46,680 --> 00:38:50,720
Speaker 5: of that too, because as of right now, data centers

813
00:38:50,840 --> 00:38:56,360
Speaker 5: are ravenous. They consume electricity as much as some smaller

814
00:38:56,480 --> 00:39:00,960
Speaker 5: cities do. And the amount of increase that this is

815
00:39:01,000 --> 00:39:03,840
Speaker 5: putting in, the stress it's putting on the overall electric

816
00:39:03,880 --> 00:39:07,759
Speaker 5: grid is very real, and it is costing consumers obviously,

817
00:39:07,960 --> 00:39:10,400
Speaker 5: and that's one of the things that contributes to so

818
00:39:10,480 --> 00:39:12,760
Speaker 5: much of the backlash. So we need to get generation

819
00:39:13,000 --> 00:39:15,520
Speaker 5: up and running, We need to get more of it built.

820
00:39:16,160 --> 00:39:18,120
Speaker 5: We're going to need to work on transmission as well,

821
00:39:18,160 --> 00:39:19,719
Speaker 5: which is the second piece of the puzzle when it

822
00:39:19,800 --> 00:39:23,480
Speaker 5: comes to energy. But Ohio has done some good stuff.

823
00:39:23,520 --> 00:39:26,600
Speaker 5: They passed two big bills last year that the governor

824
00:39:26,640 --> 00:39:29,680
Speaker 5: assigned that is going to I think, really help and

825
00:39:29,719 --> 00:39:33,640
Speaker 5: you're already seeing capital investment in energy happening as a

826
00:39:33,640 --> 00:39:37,120
Speaker 5: result of that. But we need to be smarter about it.

827
00:39:37,120 --> 00:39:39,120
Speaker 5: That's what I was satisfying about with the Senate Energy

828
00:39:39,120 --> 00:39:42,520
Speaker 5: Committee last week. We need to make sure that as

829
00:39:42,560 --> 00:39:47,319
Speaker 5: we're citing new sources of electricity generation that we're really

830
00:39:47,320 --> 00:39:50,759
Speaker 5: looking at a number of different factories. But critically, we

831
00:39:50,800 --> 00:39:53,800
Speaker 5: need cheap energy because there's going to be so much demand,

832
00:39:54,120 --> 00:39:57,279
Speaker 5: and we need reliable energy, and I think that's something

833
00:39:57,280 --> 00:39:59,280
Speaker 5: that a lot of times people don't think enough about.

834
00:40:00,480 --> 00:40:02,480
Speaker 5: You need it to run all the time. You need

835
00:40:02,520 --> 00:40:05,720
Speaker 5: what they call baseload generation that can't doesn't go off.

836
00:40:06,160 --> 00:40:09,160
Speaker 5: And this is where some of the concerns. You renewables

837
00:40:09,239 --> 00:40:12,120
Speaker 5: have a role to play, but there is some concern

838
00:40:12,160 --> 00:40:14,840
Speaker 5: about how they operate in terms of being able to

839
00:40:14,880 --> 00:40:17,960
Speaker 5: always be on and work in that way. So we

840
00:40:18,040 --> 00:40:20,719
Speaker 5: need to make sure that when we're citing stuff. We're

841
00:40:20,760 --> 00:40:26,480
Speaker 5: being sure that the state policy is it's cheap, it's reliable.

842
00:40:26,800 --> 00:40:29,200
Speaker 5: Oh and by the way, hopefully you don't have within

843
00:40:29,200 --> 00:40:31,879
Speaker 5: your supply chain a bunch of stuff from foreign adversary nation.

844
00:40:32,480 --> 00:40:34,919
Speaker 2: Well that's the thing is China's pushing AI super hard.

845
00:40:34,960 --> 00:40:37,080
Speaker 2: As we know in Edward a battle, a spot Nick battle,

846
00:40:37,080 --> 00:40:39,400
Speaker 2: if youel Moon mission type of battle as Kennedy did

847
00:40:39,480 --> 00:40:44,080
Speaker 2: nine nineteen sixties. During your testimony, Greg Lawson from Buckeye Institute,

848
00:40:44,120 --> 00:40:47,480
Speaker 2: you said data centers will consume ten percent of US

849
00:40:47,520 --> 00:40:50,560
Speaker 2: electricity by twenty thirty, So in four years it's going

850
00:40:50,600 --> 00:40:52,319
Speaker 2: to be about ten percent of the pie. That number

851
00:40:52,400 --> 00:40:55,120
Speaker 2: is going to continue to grow year over year. And

852
00:40:55,160 --> 00:40:57,439
Speaker 2: so what are the implications if we just don't meet

853
00:40:57,440 --> 00:40:59,640
Speaker 2: that demand here in Ohio? I throw you know, your

854
00:40:59,680 --> 00:41:01,959
Speaker 2: bucket and stupid. I feel Kentucky and Indiana there as well.

855
00:41:02,080 --> 00:41:06,680
Speaker 2: If we don't meet that demand, which competitors could capture

856
00:41:06,680 --> 00:41:07,840
Speaker 2: that economic opportunity?

857
00:41:07,880 --> 00:41:07,920
Speaker 5: This?

858
00:41:08,040 --> 00:41:09,880
Speaker 2: Where would it go? Somebody's going to pick.

859
00:41:09,760 --> 00:41:12,440
Speaker 5: Up on it? Well, I think so. I think you're

860
00:41:12,480 --> 00:41:15,640
Speaker 5: going to see other states obviously trying to take advantage

861
00:41:15,640 --> 00:41:17,719
Speaker 5: of it. I think Ohio is well positioned for a

862
00:41:17,719 --> 00:41:21,040
Speaker 5: lot of reasons to really take advantage of the data

863
00:41:21,080 --> 00:41:25,320
Speaker 5: center world. You know, we have a uniquely qualified workforce,

864
00:41:25,440 --> 00:41:29,120
Speaker 5: I think, both in terms of the trades and things

865
00:41:29,120 --> 00:41:31,880
Speaker 5: like that that are used to build these things, but

866
00:41:32,000 --> 00:41:35,759
Speaker 5: also some of the tech workforce and the myriad of

867
00:41:35,840 --> 00:41:38,880
Speaker 5: both universities and in particular community colleges that do a

868
00:41:38,920 --> 00:41:41,239
Speaker 5: lot of workforce training. So I think Ohio is very

869
00:41:41,239 --> 00:41:43,480
Speaker 5: well positioned. So it would be kind of unfortunate to

870
00:41:43,480 --> 00:41:45,920
Speaker 5: see that going to other states. But one thing that

871
00:41:45,960 --> 00:41:48,600
Speaker 5: worries me is if we don't get energy policy right

872
00:41:49,400 --> 00:41:53,239
Speaker 5: in Ohio for sure, but broadly speaking, you know, we

873
00:41:53,280 --> 00:41:55,880
Speaker 5: could see a lot of hurdles continue to get erected

874
00:41:55,920 --> 00:41:58,680
Speaker 5: to these things, and if that were to happen, that

875
00:41:58,760 --> 00:42:01,520
Speaker 5: again ties back into this overall competition we were talking

876
00:42:01,560 --> 00:42:05,160
Speaker 5: about China. We're not you know, America is not preordained

877
00:42:05,200 --> 00:42:08,120
Speaker 5: to win this competition. Just because we won the last

878
00:42:08,160 --> 00:42:11,680
Speaker 5: Cold War doesn't inherently mean that you're preordained to win

879
00:42:11,719 --> 00:42:13,960
Speaker 5: this one. You got to work for it, and that's

880
00:42:13,960 --> 00:42:16,040
Speaker 5: something that we really need to do. So I think

881
00:42:16,080 --> 00:42:18,880
Speaker 5: that Ohio has a unique role to play because of

882
00:42:18,920 --> 00:42:20,880
Speaker 5: how much demand there is right now and how many

883
00:42:20,960 --> 00:42:24,320
Speaker 5: data centers are coming into Ohio. But we need to

884
00:42:24,360 --> 00:42:26,279
Speaker 5: be a leader, a leader that other states can look

885
00:42:26,320 --> 00:42:28,640
Speaker 5: at as well, because there's going to be frankly more

886
00:42:28,640 --> 00:42:31,360
Speaker 5: than enough to go around for many states. Okay, we

887
00:42:31,400 --> 00:42:33,520
Speaker 5: get this wrong, it's going to be a real problem.

888
00:42:33,520 --> 00:42:35,680
Speaker 2: And I think as we don't understand, I don't understand

889
00:42:35,920 --> 00:42:39,200
Speaker 2: the China comparison. Can you elaborate on how China's current

890
00:42:39,280 --> 00:42:42,840
Speaker 2: energy production capacities stacks up against us here in Ohio,

891
00:42:43,320 --> 00:42:46,440
Speaker 2: in the Midwest and the United States, and specifically how

892
00:42:46,480 --> 00:42:49,800
Speaker 2: their approach to powering AI development differs from ours.

893
00:42:50,600 --> 00:42:53,320
Speaker 5: Sure, basically they have it all of the above approach.

894
00:42:53,800 --> 00:42:55,879
Speaker 5: You hear a lot of folks. They're one of the lead.

895
00:42:55,920 --> 00:42:58,560
Speaker 5: They are the world's leader in renewables, that's true. They're

896
00:42:58,560 --> 00:43:01,120
Speaker 5: also the world leader in coal, and they're building nuclear

897
00:43:01,160 --> 00:43:04,360
Speaker 5: power plants on a regular basis too. Their energy production

898
00:43:05,080 --> 00:43:08,439
Speaker 5: is vastly outstrips right now what the United States is doing.

899
00:43:09,280 --> 00:43:11,600
Speaker 5: And I think part of that is because you know,

900
00:43:11,600 --> 00:43:14,799
Speaker 5: they're a command to control economy. They don't have some

901
00:43:14,880 --> 00:43:17,920
Speaker 5: of the local constraints, some of the regulatory constraints that

902
00:43:17,960 --> 00:43:20,960
Speaker 5: their regime says now shall go build, they go They

903
00:43:21,000 --> 00:43:23,879
Speaker 5: do it. They don't have environmental impact statements that could

904
00:43:23,880 --> 00:43:26,520
Speaker 5: take years, you know, to work through. They don't have

905
00:43:26,560 --> 00:43:29,560
Speaker 5: the same kind of litigiousness in terms of legal issues

906
00:43:29,560 --> 00:43:33,200
Speaker 5: that can sometimes steiny projects and stuff like that. So

907
00:43:33,239 --> 00:43:37,000
Speaker 5: they are really just pedal to the metal. And you know,

908
00:43:37,040 --> 00:43:38,920
Speaker 5: I don't think America has to go and do all

909
00:43:38,960 --> 00:43:40,880
Speaker 5: of that, but we do need to cut through some

910
00:43:40,960 --> 00:43:43,960
Speaker 5: of the red tape and things that do create delays,

911
00:43:44,239 --> 00:43:46,480
Speaker 5: and we need to get a lot better again with

912
00:43:46,600 --> 00:43:49,000
Speaker 5: the energy production. The problem that America kind of faces

913
00:43:49,120 --> 00:43:51,960
Speaker 5: is up until recently, with the rise of data centers,

914
00:43:52,680 --> 00:43:55,720
Speaker 5: we had fairly flat demand. It was very limited growth

915
00:43:56,040 --> 00:43:59,080
Speaker 5: in terms of the generation. We were actually doing really

916
00:43:59,080 --> 00:44:02,760
Speaker 5: well even in reducing greenhouse gas emissions, you know, because

917
00:44:02,880 --> 00:44:05,200
Speaker 5: that we were seeing natural gas come online, which was

918
00:44:05,200 --> 00:44:08,080
Speaker 5: somewhat cleaner than coal. Coal still had some role. Nuclear

919
00:44:08,120 --> 00:44:11,040
Speaker 5: is still a big poor portion of the portfolio, and

920
00:44:11,080 --> 00:44:13,040
Speaker 5: we were seeing that, but we weren't necessarily building as

921
00:44:13,120 --> 00:44:15,760
Speaker 5: much because the demand wasn't there. Now, all of a sudden,

922
00:44:15,960 --> 00:44:18,880
Speaker 5: we're seeing this dramatic spike in a very short period

923
00:44:18,880 --> 00:44:21,680
Speaker 5: of time, and I think that's what's really making everybody

924
00:44:21,719 --> 00:44:24,040
Speaker 5: kind of run around. Not a policy standpoint and say

925
00:44:24,360 --> 00:44:26,200
Speaker 5: we got to act, we got to act now. And

926
00:44:26,239 --> 00:44:28,719
Speaker 5: then they look across the ocean there and they look

927
00:44:28,719 --> 00:44:31,279
Speaker 5: at what China's doing and they realize we're behind the

928
00:44:31,280 --> 00:44:31,680
Speaker 5: eight ball.

929
00:44:31,800 --> 00:44:32,000
Speaker 1: Yep.

930
00:44:32,640 --> 00:44:32,839
Speaker 5: Yeah.

931
00:44:32,880 --> 00:44:34,759
Speaker 2: And in China they can just seize property. You know,

932
00:44:34,840 --> 00:44:37,560
Speaker 2: we have eminent domain, we have court systems to fight there.

933
00:44:37,600 --> 00:44:41,200
Speaker 2: It takes a much longer. The regulatory hurdles here are extreme,

934
00:44:42,160 --> 00:44:43,840
Speaker 2: and I think that comes into play too. You mentioned

935
00:44:43,880 --> 00:44:46,640
Speaker 2: nuclear power. Now we do have two nuclear plants in Ohio,

936
00:44:46,719 --> 00:44:50,160
Speaker 2: but how has the impact of the first energy scandal

937
00:44:51,560 --> 00:44:54,279
Speaker 2: destroyed that? You know, the public trust in nuclear but

938
00:44:54,400 --> 00:44:56,680
Speaker 2: in the public Utuluise Commission in a sense is that

939
00:44:57,040 --> 00:44:59,480
Speaker 2: you know, sixty million dollars has funneled through this five

940
00:44:59,560 --> 00:45:02,600
Speaker 2: oz one CE and Larry Householder, we know that whole story.

941
00:45:02,800 --> 00:45:04,320
Speaker 2: But the plants are in trouble in the first place

942
00:45:04,400 --> 00:45:07,000
Speaker 2: because they weren't profitable, and now we rely more on

943
00:45:07,080 --> 00:45:11,359
Speaker 2: natural gas the nuclear that seems to be more regulatory

944
00:45:11,480 --> 00:45:13,719
Speaker 2: in layers of bureaucracy, and that's why it cost so

945
00:45:13,800 --> 00:45:17,399
Speaker 2: much to put new nuclear plants online and use nuclear energy,

946
00:45:17,440 --> 00:45:20,600
Speaker 2: which is much much much cleaner. Will we ever get

947
00:45:20,640 --> 00:45:23,640
Speaker 2: over that hurdle, especially in light of that scandal.

948
00:45:24,760 --> 00:45:27,120
Speaker 5: Well, I definitely think the scandal hurt. But the one

949
00:45:27,160 --> 00:45:29,480
Speaker 5: thing that I'll say that it's very positive is there

950
00:45:29,520 --> 00:45:33,520
Speaker 5: are some different models coming online for nuclear power plants.

951
00:45:33,960 --> 00:45:35,960
Speaker 5: I'm not sure that the future of nuclear is going

952
00:45:36,000 --> 00:45:38,239
Speaker 5: to be things like the two plants or at the

953
00:45:38,239 --> 00:45:41,799
Speaker 5: heart of that scandal. Now that said, interestingly enough, of course,

954
00:45:41,800 --> 00:45:45,040
Speaker 5: those plants have been sold off now and you have

955
00:45:45,400 --> 00:45:49,800
Speaker 5: major tech companies purchasing energy that's coming from those plants

956
00:45:49,880 --> 00:45:53,080
Speaker 5: through a private arrangement, which is the way it should

957
00:45:53,080 --> 00:45:56,440
Speaker 5: have worked all along, without all the subsidies and public

958
00:45:56,440 --> 00:45:58,839
Speaker 5: interference and corruption that was involved with the House Built

959
00:45:58,840 --> 00:46:01,640
Speaker 5: six scandal. But the things that I think we really

960
00:46:01,640 --> 00:46:03,840
Speaker 5: are looking for are these what they call it small

961
00:46:03,920 --> 00:46:08,880
Speaker 5: modular reactors. Now there's actually one that's supposed to be

962
00:46:08,920 --> 00:46:12,360
Speaker 5: going into the old piping plant down in southern Ohio.

963
00:46:13,400 --> 00:46:15,920
Speaker 5: It still needs to get federal approval. Again, there's a

964
00:46:15,960 --> 00:46:17,880
Speaker 5: lot of reguatory hurdles, and when are dealing with du clear,

965
00:46:18,320 --> 00:46:21,319
Speaker 5: I think everybody is rightfully concerned. Everybody kind of thinks

966
00:46:21,320 --> 00:46:23,919
Speaker 5: the turnable or three mile island and things like that. Now,

967
00:46:24,080 --> 00:46:28,200
Speaker 5: the new designs are very very different, much safer, but

968
00:46:28,320 --> 00:46:31,879
Speaker 5: we also haven't constructed those historically, so there's a lot

969
00:46:31,880 --> 00:46:34,520
Speaker 5: of work in Washington to try to kind of get

970
00:46:34,520 --> 00:46:37,439
Speaker 5: at what they call turnty approach. Some designs that they

971
00:46:37,480 --> 00:46:41,560
Speaker 5: have looked at. They've managed it from a safety standpoint

972
00:46:41,920 --> 00:46:44,160
Speaker 5: so that if you basically go with certain kinds of

973
00:46:44,200 --> 00:46:47,160
Speaker 5: pre approved designs, you can get fast or permitting. I

974
00:46:47,160 --> 00:46:48,919
Speaker 5: think that is something we're going to see, but that's

975
00:46:48,920 --> 00:46:51,560
Speaker 5: not right around the corner. It's coming, and I actually

976
00:46:51,560 --> 00:46:53,960
Speaker 5: think it's likely to be the future. Indeed, one of

977
00:46:53,960 --> 00:46:55,759
Speaker 5: the things you'll probably see with some of these data

978
00:46:55,800 --> 00:46:58,960
Speaker 5: centers is a lot of on site generation where they

979
00:46:59,000 --> 00:47:01,719
Speaker 5: may not even tie back into the grid overall. They

980
00:47:01,719 --> 00:47:04,640
Speaker 5: may PLoP a small modular reactor or a couple of

981
00:47:04,680 --> 00:47:09,720
Speaker 5: gas turbines natural gas turbines on site that just produces

982
00:47:09,760 --> 00:47:12,799
Speaker 5: electricity just for that particular data center, right. I think

983
00:47:12,840 --> 00:47:15,520
Speaker 5: you will see that happen more, and that would.

984
00:47:15,280 --> 00:47:15,759
Speaker 3: Be a good thing.

985
00:47:15,800 --> 00:47:18,759
Speaker 5: But I think SMRs, the small mods, they're going to

986
00:47:18,760 --> 00:47:21,440
Speaker 5: be something that is going to come online here in

987
00:47:21,480 --> 00:47:24,520
Speaker 5: the not too distant future, and I think that will

988
00:47:24,560 --> 00:47:27,200
Speaker 5: be a good thing, and I think the public will

989
00:47:27,280 --> 00:47:30,759
Speaker 5: understand that these are very different again from the things

990
00:47:30,760 --> 00:47:31,360
Speaker 5: that have caused.

991
00:47:31,200 --> 00:47:33,319
Speaker 2: So much being I think, I think, you know, absolutely right.

992
00:47:33,320 --> 00:47:36,000
Speaker 2: I'm fascinated by this whole thing. And you'll see these

993
00:47:36,040 --> 00:47:40,160
Speaker 2: these localized specialized power generation stations for each one of

994
00:47:40,200 --> 00:47:42,959
Speaker 2: these AI facilities, and you know, the surplus they could

995
00:47:42,960 --> 00:47:45,480
Speaker 2: sell back and put it a pipeline back through the grid,

996
00:47:45,560 --> 00:47:47,399
Speaker 2: kind of like you do if you have solar or

997
00:47:47,960 --> 00:47:50,600
Speaker 2: I don't know, wind turbine in your yard. Right, the

998
00:47:50,800 --> 00:47:52,640
Speaker 2: shurplus energy you don't use, you can sell back to

999
00:47:52,840 --> 00:47:55,799
Speaker 2: the provider. By law, they have to buy back. You

1000
00:47:55,800 --> 00:47:57,439
Speaker 2: could do that or and you know we talk about

1001
00:47:57,440 --> 00:48:00,279
Speaker 2: infrastructure and transmission is the key here in stringing more

1002
00:48:00,320 --> 00:48:02,480
Speaker 2: power lines all over. No one wants them in their backyard.

1003
00:48:02,560 --> 00:48:04,040
Speaker 2: They want to go over ahead. Remember the big scare

1004
00:48:04,080 --> 00:48:07,560
Speaker 2: but EMF frequencies causing cancer which turned out to be nothing.

1005
00:48:07,600 --> 00:48:09,520
Speaker 2: But people don't want those things around, so not in

1006
00:48:09,520 --> 00:48:12,720
Speaker 2: my backyard syndrome, much like we're fighting against AI data center.

1007
00:48:12,840 --> 00:48:17,160
Speaker 2: So I think the future are smaller nuclear reactors for

1008
00:48:17,280 --> 00:48:20,319
Speaker 2: subdivisions for I don't know, small communities. Hell, you might

1009
00:48:20,360 --> 00:48:23,480
Speaker 2: have one replacing your furnace, I don't know. But then

1010
00:48:23,520 --> 00:48:26,279
Speaker 2: that eliminates the need for transmission lines, which is a

1011
00:48:26,280 --> 00:48:28,600
Speaker 2: tough fertle to cross. That's the problem. China can do

1012
00:48:28,640 --> 00:48:30,400
Speaker 2: it because they just take the land over. It's you know,

1013
00:48:31,360 --> 00:48:34,120
Speaker 2: the way their governments design their way life is designed over.

1014
00:48:34,160 --> 00:48:36,720
Speaker 2: Their government just controls everything. Here we have, as I mentioned,

1015
00:48:36,719 --> 00:48:40,960
Speaker 2: courts and eminent domain fights and everything else, environmental issues

1016
00:48:40,960 --> 00:48:43,800
Speaker 2: and alike. If you just did it locally as opposed

1017
00:48:43,840 --> 00:48:46,440
Speaker 2: to regionally, that's probably what's going to happen.

1018
00:48:47,920 --> 00:48:49,279
Speaker 5: I think there's going to be a lot of that

1019
00:48:49,280 --> 00:48:52,960
Speaker 5: that absolutely does happen. And you know, again there's actually

1020
00:48:53,000 --> 00:48:54,640
Speaker 5: even with some of the existing lines that we have,

1021
00:48:54,760 --> 00:48:58,040
Speaker 5: there's some things that you can do to actually improve

1022
00:48:58,400 --> 00:49:00,919
Speaker 5: how much energy is going through lines and how much

1023
00:49:00,960 --> 00:49:03,560
Speaker 5: doesn't get lost, because that's actually kind of an issue.

1024
00:49:03,600 --> 00:49:05,640
Speaker 5: You know, that snapping sound you here Sometimes if you

1025
00:49:05,719 --> 00:49:10,200
Speaker 5: happen to be walking underneath some lines, that's basically electricity

1026
00:49:10,320 --> 00:49:12,839
Speaker 5: that you're losing. That's electrons that aren't going to make

1027
00:49:12,880 --> 00:49:15,880
Speaker 5: it to whoever is needing to use that energy. So

1028
00:49:15,920 --> 00:49:17,759
Speaker 5: we need to make sure we're improving some of our

1029
00:49:18,640 --> 00:49:20,880
Speaker 5: capacity that way as well. And you can actually do

1030
00:49:20,960 --> 00:49:24,600
Speaker 5: some things with existing lines now that gets complicated because

1031
00:49:24,600 --> 00:49:27,120
Speaker 5: then you've got to find ways to pay the utility companies.

1032
00:49:27,719 --> 00:49:31,680
Speaker 5: They are monopoly and things like that. So it's still

1033
00:49:31,800 --> 00:49:33,400
Speaker 5: some challenges, but I think that's going to be a

1034
00:49:33,400 --> 00:49:35,560
Speaker 5: piece of puzzle. The whole new lines is going to

1035
00:49:35,600 --> 00:49:37,840
Speaker 5: be a piece of the puzzle. Again, I think some

1036
00:49:37,920 --> 00:49:39,880
Speaker 5: of the behind the meter stuff is puzzle. We have

1037
00:49:39,960 --> 00:49:41,920
Speaker 5: to do a lot more and this is something Ohio

1038
00:49:41,960 --> 00:49:43,560
Speaker 5: a loan can't do. This is something all the states

1039
00:49:43,560 --> 00:49:45,480
Speaker 5: are going to have to do, is work within the

1040
00:49:46,080 --> 00:49:49,080
Speaker 5: grid system. We were actually part of a multi state

1041
00:49:49,719 --> 00:49:52,520
Speaker 5: grid that's run by a nonprofit, A kind of a

1042
00:49:52,520 --> 00:49:55,360
Speaker 5: complicated story for folks who aren't familiar with all the

1043
00:49:55,440 --> 00:50:00,319
Speaker 5: energy infrastructure. But there's a lot of backlogs in terms

1044
00:50:00,320 --> 00:50:03,640
Speaker 5: of connecting new generation to the overall grid, and that's

1045
00:50:03,640 --> 00:50:06,279
Speaker 5: actually delay. So that's another pig latory delay that we

1046
00:50:06,360 --> 00:50:09,000
Speaker 5: need to work on. You know, I'm a big believer

1047
00:50:09,200 --> 00:50:13,919
Speaker 5: eventually that will facilitate that process and make it easier

1048
00:50:13,920 --> 00:50:15,279
Speaker 5: because I think that will be good because I'll allow

1049
00:50:15,320 --> 00:50:16,960
Speaker 5: you to do what you were just describing, which is

1050
00:50:17,400 --> 00:50:19,640
Speaker 5: if you can produce surplus, you can sell it back,

1051
00:50:20,160 --> 00:50:21,759
Speaker 5: and that's something that we should really be trying to

1052
00:50:21,800 --> 00:50:23,000
Speaker 5: aspire to in the long run.

1053
00:50:23,080 --> 00:50:25,000
Speaker 2: Yeah, I think you know, it's an environmental thing and

1054
00:50:25,200 --> 00:50:27,799
Speaker 2: also a safety thing. You think of California, the wildfires

1055
00:50:27,840 --> 00:50:30,160
Speaker 2: are there, not all of them melatomum sparked by with

1056
00:50:30,239 --> 00:50:32,279
Speaker 2: the tremendous wins and the power lines going down like

1057
00:50:32,320 --> 00:50:35,880
Speaker 2: the campfire for example, that that that doesn't eliminate that.

1058
00:50:35,960 --> 00:50:37,800
Speaker 2: But you know, if you if you're using less power

1059
00:50:37,840 --> 00:50:41,480
Speaker 2: lines because the substations or these generating stations are closer

1060
00:50:41,480 --> 00:50:43,239
Speaker 2: to where people use, I mean you have fewer lines

1061
00:50:43,239 --> 00:50:46,560
Speaker 2: strong and less opportunity for a natural disaster, a man

1062
00:50:46,600 --> 00:50:48,480
Speaker 2: made disaster like this. I guess it would be Greg

1063
00:50:48,520 --> 00:50:52,040
Speaker 2: Lawson from Buckeye on the show, and he testified last

1064
00:50:52,040 --> 00:50:56,239
Speaker 2: week before the legislature in Columbus regarding our energy policy here.

1065
00:50:56,320 --> 00:50:58,319
Speaker 2: And we want to be and we are a major

1066
00:50:58,320 --> 00:51:00,000
Speaker 2: player right now. We're top five. I think we're number

1067
00:51:00,040 --> 00:51:02,680
Speaker 2: out of the country for data center growth. We want

1068
00:51:02,719 --> 00:51:05,160
Speaker 2: to be number one because that is the future of Ohio.

1069
00:51:05,200 --> 00:51:08,200
Speaker 2: But of course we have municipalities all over the state

1070
00:51:08,239 --> 00:51:10,680
Speaker 2: that are fighting in and say maybe not fighting against

1071
00:51:10,680 --> 00:51:13,200
Speaker 2: them per se greg but I think it's in and

1072
00:51:13,320 --> 00:51:14,839
Speaker 2: you know, we've learned in the past like, oh yeah,

1073
00:51:14,880 --> 00:51:16,960
Speaker 2: come in and do the building. These big and it's

1074
00:51:16,960 --> 00:51:19,440
Speaker 2: not just one building. These campuses are there, they're a

1075
00:51:19,560 --> 00:51:22,799
Speaker 2: number of buildings are massive in their size. They don't

1076
00:51:22,800 --> 00:51:25,000
Speaker 2: employ all that many people. So I don't know about

1077
00:51:25,000 --> 00:51:27,920
Speaker 2: the you know, the local economic impact. And I think

1078
00:51:27,960 --> 00:51:30,799
Speaker 2: but I think residents are right to question what's in

1079
00:51:30,840 --> 00:51:31,520
Speaker 2: their backyard.

1080
00:51:32,880 --> 00:51:34,440
Speaker 5: Well, I think that this is going to be one

1081
00:51:34,480 --> 00:51:38,439
Speaker 5: of the hot topics too that that's going on, is

1082
00:51:38,560 --> 00:51:40,879
Speaker 5: there are some legitimate concerns about these And you're right,

1083
00:51:41,200 --> 00:51:43,719
Speaker 5: the jobs, I mean, there's some temporary jobs obviously when

1084
00:51:43,719 --> 00:51:44,080
Speaker 5: you do the.

1085
00:51:44,000 --> 00:51:46,759
Speaker 2: Construction constructions great, yeah, yeah.

1086
00:51:46,200 --> 00:51:50,680
Speaker 5: But the long term jaws typically aren't as high. Now,

1087
00:51:51,120 --> 00:51:52,800
Speaker 5: you know we in fact, someone we're looking at the

1088
00:51:52,800 --> 00:51:55,120
Speaker 5: buck Gysto right now is looking at there's a lot

1089
00:51:55,120 --> 00:51:58,880
Speaker 5: of knockoff effects because thinking about what these data centers

1090
00:51:58,880 --> 00:52:01,040
Speaker 5: do and the cloud and all the data that you use,

1091
00:52:01,640 --> 00:52:06,879
Speaker 5: health records, financial records, how you do purchasing online, all

1092
00:52:06,880 --> 00:52:09,480
Speaker 5: of the very and certainly the gaming thing for entertainment

1093
00:52:09,560 --> 00:52:12,440
Speaker 5: and streaming and all the things that we've become so

1094
00:52:12,520 --> 00:52:16,880
Speaker 5: accustomed to. All of that needs that kind of the

1095
00:52:16,960 --> 00:52:20,160
Speaker 5: data centers is the backbone. So there's if you don't

1096
00:52:20,200 --> 00:52:22,399
Speaker 5: build any of those, you don't have any of those things.

1097
00:52:22,880 --> 00:52:26,400
Speaker 5: So there's obviously some long term negative consequences to that.

1098
00:52:26,520 --> 00:52:29,480
Speaker 5: I think we have to explain that to folks now

1099
00:52:29,480 --> 00:52:31,000
Speaker 5: that still is going to there a lot of people

1100
00:52:31,000 --> 00:52:32,920
Speaker 5: are still going to say I don't want this, you know,

1101
00:52:33,000 --> 00:52:36,319
Speaker 5: home in my backyard kind of situation. I think that's

1102
00:52:36,360 --> 00:52:37,560
Speaker 5: it again why we have to kind of go back

1103
00:52:37,600 --> 00:52:40,279
Speaker 5: and say, look, you know, there may be some things

1104
00:52:40,280 --> 00:52:42,000
Speaker 5: we need to do, but we can't just have Nimby

1105
00:52:42,719 --> 00:52:45,840
Speaker 5: take off everywhere because if we do that here in

1106
00:52:45,880 --> 00:52:50,280
Speaker 5: Ohio again, it'll spread that message spread to other states.

1107
00:52:50,440 --> 00:52:54,000
Speaker 5: It's going to happen elsewhere, and I think that would

1108
00:52:54,040 --> 00:52:57,080
Speaker 5: put us at a competitive disadvantage, not just economically, but

1109
00:52:57,160 --> 00:52:59,600
Speaker 5: even from that security standpoint we were talking about before.

1110
00:53:00,320 --> 00:53:03,080
Speaker 5: And you know, that is something I think people don't

1111
00:53:03,120 --> 00:53:06,360
Speaker 5: necessarily think as much about that particular component of this,

1112
00:53:06,760 --> 00:53:09,960
Speaker 5: but it's actually really important piece of this. I think

1113
00:53:09,960 --> 00:53:12,160
Speaker 5: that message does need to get out there so that

1114
00:53:12,200 --> 00:53:15,040
Speaker 5: people can kind of understand that and factor that into

1115
00:53:15,080 --> 00:53:17,000
Speaker 5: their sort of decision making.

1116
00:53:17,120 --> 00:53:20,359
Speaker 2: Yeah, it's getting you know, certainly we're getting strained here.

1117
00:53:20,400 --> 00:53:22,360
Speaker 2: Power bills are going up people are looking at it

1118
00:53:22,400 --> 00:53:23,840
Speaker 2: going why am I paying so much money? We have

1119
00:53:23,920 --> 00:53:26,759
Speaker 2: a and let's not forget advanced manufacturing. We just built

1120
00:53:26,760 --> 00:53:29,200
Speaker 2: a thirty one million dollar facility in Hamilton with Miami

1121
00:53:29,280 --> 00:53:33,920
Speaker 2: University to train the next generation of that workforce. And

1122
00:53:34,000 --> 00:53:36,480
Speaker 2: that's going to grow in Ohio as well. The manufacturing

1123
00:53:36,600 --> 00:53:39,839
Speaker 2: of the future is more lab based, in computer based

1124
00:53:39,840 --> 00:53:41,719
Speaker 2: than it was a couple of generations ago. Or it's

1125
00:53:41,760 --> 00:53:43,920
Speaker 2: like a big factory floor. So that's taking root here

1126
00:53:43,920 --> 00:53:45,600
Speaker 2: in Ohio as well. And it all means more power

1127
00:53:45,600 --> 00:53:47,759
Speaker 2: you use. Each just means higher bills, and we've got

1128
00:53:47,800 --> 00:53:49,840
Speaker 2: to find a way to produce and then transmit that

1129
00:53:49,960 --> 00:53:51,880
Speaker 2: energy to where it's needed. Greg Lost in the Buckeye

1130
00:53:51,960 --> 00:53:55,439
Speaker 2: Institute testifying before the legislature last week on this very issue.

1131
00:53:55,440 --> 00:53:56,279
Speaker 2: Thanks again for jumping on.

1132
00:53:56,320 --> 00:53:58,040
Speaker 1: I appreciate you, Thank you very much.

1133
00:53:58,320 --> 00:54:01,080
Speaker 2: Take care news in about five though, iHeartMedia and seven

1134
00:54:01,160 --> 00:54:04,160
Speaker 2: hundred WW salute Cincinnati's own Procter and Gamble. If you've

1135
00:54:04,160 --> 00:54:06,319
Speaker 2: got someone there you'd like for us to recognize on

1136
00:54:06,320 --> 00:54:09,040
Speaker 2: the air, Just Texas their name to fifty one eight

1137
00:54:09,120 --> 00:54:14,400
Speaker 2: eight one and be listening. Hi Scott's Loan Show. Seven

1138
00:54:14,480 --> 00:54:19,880
Speaker 2: hundred WLW. Welcome to Tuesday, not just any Tuesday, my

1139
00:54:19,960 --> 00:54:22,480
Speaker 2: friend's Fat Tuesday. I'll be the King of Marty Gros

1140
00:54:22,560 --> 00:54:25,560
Speaker 2: once again this year at the Northern Kentucky Convention Center.

1141
00:54:26,400 --> 00:54:28,440
Speaker 2: We still have a few tickets left. I believe a few.

1142
00:54:28,800 --> 00:54:31,000
Speaker 2: Marti Grout twenty twenty six dot org. Or you can

1143
00:54:31,040 --> 00:54:34,400
Speaker 2: swing by Mercedes Benz of Fort Mitchell seeing Don Paparella

1144
00:54:34,440 --> 00:54:37,319
Speaker 2: and his team. That can hook you up there and

1145
00:54:37,360 --> 00:54:40,120
Speaker 2: of course it all benefits are three wonderful organizations in

1146
00:54:40,160 --> 00:54:42,560
Speaker 2: Cincinnati for kids in need, Bethany House, Brighton Center and

1147
00:54:42,600 --> 00:54:46,520
Speaker 2: Welcome House, and the proceeds tonight, all of it will benefit.

1148
00:54:46,560 --> 00:54:49,799
Speaker 2: All the money goes to feeding all kids, all kids

1149
00:54:49,800 --> 00:54:52,560
Speaker 2: in those organizations, like one hundred and fifty thousand meals

1150
00:54:53,080 --> 00:54:56,520
Speaker 2: for twenty twenty six, which is an incredible, incredible thing

1151
00:54:56,560 --> 00:54:58,640
Speaker 2: if you think about it. So I'll be there. I

1152
00:54:58,680 --> 00:55:01,399
Speaker 2: mentioned Shila Gray who was on show yesterday. She's gonna

1153
00:55:01,440 --> 00:55:03,239
Speaker 2: jump on. She be my queen once again this year.

1154
00:55:03,960 --> 00:55:06,080
Speaker 2: John John is our gesture, which is perfect because he

1155
00:55:06,120 --> 00:55:08,919
Speaker 2: can dress up in tights. Sarah Release will be there,

1156
00:55:09,000 --> 00:55:12,719
Speaker 2: and our own Tom Brenneman making his first appearance as

1157
00:55:12,719 --> 00:55:15,920
Speaker 2: an MC tonight at the Northern Kentucky Convention Center VIP

1158
00:55:16,040 --> 00:55:19,239
Speaker 2: tickets at five thirty six thirty. I think general and

1159
00:55:19,480 --> 00:55:21,120
Speaker 2: it's all on my ten And it's more food than

1160
00:55:21,120 --> 00:55:22,919
Speaker 2: you can eat and more drink than you can drink

1161
00:55:22,920 --> 00:55:24,719
Speaker 2: on a Tuesday night, for sure. But it's a great cause.

1162
00:55:24,760 --> 00:55:26,680
Speaker 2: So if you missed out on Valentine's Day and you're

1163
00:55:26,719 --> 00:55:29,120
Speaker 2: like God to do something or you're just looking to

1164
00:55:29,120 --> 00:55:30,760
Speaker 2: get out, man, it's and it's for a great cause.

1165
00:55:30,800 --> 00:55:33,360
Speaker 2: So at is Martin grat twenty twenty six dot or

1166
00:55:33,400 --> 00:55:38,240
Speaker 2: hoop to see you out there tonight tonight tonight. Lawyers

1167
00:55:38,280 --> 00:55:41,160
Speaker 2: do kind of ruin everything, don't they, And that as

1168
00:55:41,200 --> 00:55:43,839
Speaker 2: part of the maybe the frustration of life is each

1169
00:55:43,840 --> 00:55:45,520
Speaker 2: and every day we all get a little bit older,

1170
00:55:47,040 --> 00:55:49,359
Speaker 2: and you know, they're just the simple things in life

1171
00:55:49,440 --> 00:55:52,200
Speaker 2: you enjoy, like Foo. Food never lets you do, never

1172
00:55:52,280 --> 00:55:55,520
Speaker 2: lets you down. The war on food continues. Costco is

1173
00:55:55,560 --> 00:56:01,680
Speaker 2: facing a class action lawsuit over their chicken. They're Kirkland

1174
00:56:01,840 --> 00:56:07,200
Speaker 2: Signature seasoned rotisserie chicken. Are you a fan of Costco chicken?

1175
00:56:07,280 --> 00:56:09,480
Speaker 2: I know you're a fan of the pizza slice at

1176
00:56:09,480 --> 00:56:12,719
Speaker 2: the deli. You know they have the food court. Well

1177
00:56:12,760 --> 00:56:14,600
Speaker 2: not even a food court there. It's basically what it is.

1178
00:56:14,640 --> 00:56:16,640
Speaker 2: You know, get they got the cheese, they got a pepperoni,

1179
00:56:16,680 --> 00:56:20,000
Speaker 2: you can get. I think they've got like a turkey

1180
00:56:20,080 --> 00:56:22,200
Speaker 2: sandar tok, a bunch of stuff, and it's it's interestedly cheap.

1181
00:56:22,200 --> 00:56:25,840
Speaker 2: They're known for their dollar fifty quarter pound hot dog

1182
00:56:26,040 --> 00:56:29,400
Speaker 2: and pop for a buck fifty. And I think the

1183
00:56:29,520 --> 00:56:32,440
Speaker 2: rotests chicken, I believe it is like five bucks. It's unreal.

1184
00:56:32,600 --> 00:56:35,520
Speaker 2: It's a giant chicken and you get for a five

1185
00:56:35,600 --> 00:56:38,360
Speaker 2: or six bucks. It's insane. You just grab one and

1186
00:56:38,360 --> 00:56:41,480
Speaker 2: you bring it home. It's delicious, delicious. Why are they

1187
00:56:41,480 --> 00:56:46,840
Speaker 2: getting sued? The Costco rotisserie chicken probably one of the

1188
00:56:46,880 --> 00:56:49,680
Speaker 2: most purchased food items in the United States. For that matter,

1189
00:56:49,719 --> 00:56:52,720
Speaker 2: they sell more chickens than anyone in the United States

1190
00:56:52,920 --> 00:56:55,680
Speaker 2: because of that. And the fight is over whether or

1191
00:56:55,760 --> 00:56:58,600
Speaker 2: not the label on the outside says there's no preserves

1192
00:56:58,600 --> 00:57:02,040
Speaker 2: in it, but the plaintips call it actually contains preservatives.

1193
00:57:04,120 --> 00:57:09,319
Speaker 2: The preservatives are sodium phosphate and carried genin carried gene

1194
00:57:09,320 --> 00:57:14,000
Speaker 2: and I believe is seaweed, and of course sodium phosphate.

1195
00:57:14,040 --> 00:57:20,040
Speaker 2: It's salt liquid salt, and so the hinge. The Crux

1196
00:57:20,160 --> 00:57:23,040
Speaker 2: lawsuit is the nut impression, Meaning even if a Costco

1197
00:57:23,120 --> 00:57:27,080
Speaker 2: technicalist ingredients somewhere, the dominant marketing message on the label

1198
00:57:27,160 --> 00:57:29,320
Speaker 2: is no preserved. On the bag it says no preservatives.

1199
00:57:30,880 --> 00:57:32,640
Speaker 2: So what do you perceive? What do you rely on?

1200
00:57:32,680 --> 00:57:36,720
Speaker 2: What information? So what you're saying is we're suing Costco

1201
00:57:37,200 --> 00:57:41,800
Speaker 2: over seasoning. See this is how lawyers a ruined stuff.

1202
00:57:42,040 --> 00:57:43,760
Speaker 2: Now they maintaine the label. I don't know what the

1203
00:57:43,800 --> 00:57:45,720
Speaker 2: remedy is here. I'll probably get in a few months

1204
00:57:45,720 --> 00:57:48,520
Speaker 2: a card from some settlement in the mail that says

1205
00:57:48,520 --> 00:57:50,480
Speaker 2: you are part of your Costco member, you are so

1206
00:57:50,600 --> 00:57:54,000
Speaker 2: part of this class action lawsuit for against Big Chicken

1207
00:57:55,600 --> 00:57:59,120
Speaker 2: against mislabeled products. And you send the card in and

1208
00:57:59,120 --> 00:58:02,480
Speaker 2: you get out a check for forty cents. A lawyer

1209
00:58:02,520 --> 00:58:04,400
Speaker 2: makes all the money. You get forty cents for that

1210
00:58:04,480 --> 00:58:07,120
Speaker 2: chicken doesn't even buy me. Doesn't mean by the tip

1211
00:58:07,160 --> 00:58:09,160
Speaker 2: of the wing, nobody eats man forty cents? Come on,

1212
00:58:09,440 --> 00:58:11,840
Speaker 2: what are we doing over here? But the problem is, like,

1213
00:58:12,360 --> 00:58:14,120
Speaker 2: you know what's gonna do. It's just gonna drive the

1214
00:58:14,160 --> 00:58:16,840
Speaker 2: cost of the Chicken's gonna go up to pay for

1215
00:58:16,920 --> 00:58:21,680
Speaker 2: the furlos lawsuit, and this is a thing in lawsuits

1216
00:58:21,680 --> 00:58:25,080
Speaker 2: involving food litigation. It's basically it's called front of package

1217
00:58:25,360 --> 00:58:29,040
Speaker 2: versus a back of label arguments. And the logic is

1218
00:58:29,080 --> 00:58:33,800
Speaker 2: that courts are generally recognized that technically accurate fine print

1219
00:58:33,800 --> 00:58:38,280
Speaker 2: disclosures don't automatically neutralize the advertising claim, and so it's

1220
00:58:38,280 --> 00:58:41,640
Speaker 2: called net impression. The net impression doctrine meaning doesn't matter

1221
00:58:41,640 --> 00:58:43,720
Speaker 2: if the truth is technically somewhere on the package, if

1222
00:58:43,720 --> 00:58:45,920
Speaker 2: the experience of buying product creates a false belief. So

1223
00:58:45,960 --> 00:58:47,920
Speaker 2: that is what the FTC the Federal Trade Commission is

1224
00:58:47,960 --> 00:58:50,040
Speaker 2: centered around. At the same time as like, come on, man,

1225
00:58:50,360 --> 00:58:52,680
Speaker 2: you don't expect chicken to have some some salt in it?

1226
00:58:54,080 --> 00:58:57,600
Speaker 2: And I guess I don't know what the kerriagenin does.

1227
00:58:57,640 --> 00:59:01,640
Speaker 2: I think it is basically makes an and may probably

1228
00:59:01,720 --> 00:59:03,880
Speaker 2: just continue to make it juicy. But it's it's seaweed.

1229
00:59:03,880 --> 00:59:07,120
Speaker 2: It's not like it's chemicals. I mean, technically sodium phosphate is.

1230
00:59:07,160 --> 00:59:09,880
Speaker 2: But you still put salt on your chicken, at least

1231
00:59:09,920 --> 00:59:11,520
Speaker 2: I hope you would, because it's going to be nasty

1232
00:59:11,560 --> 00:59:14,080
Speaker 2: if it doesn't have that stuff in it. And some

1233
00:59:14,120 --> 00:59:16,600
Speaker 2: seaweed seems perfectly natural. I mean, it's not like they're

1234
00:59:16,640 --> 00:59:18,520
Speaker 2: pumping it full of steroids and things like that be

1235
00:59:18,560 --> 00:59:20,280
Speaker 2: a different story. So for me, I don't know.

1236
00:59:20,320 --> 00:59:20,720
Speaker 6: I just.

1237
00:59:22,160 --> 00:59:24,040
Speaker 2: There are very few things in life as you get

1238
00:59:24,080 --> 00:59:26,760
Speaker 2: older that bring you so much joy, and rotisserie chicken

1239
00:59:26,840 --> 00:59:29,040
Speaker 2: definitely brings. I felt I should I feel I should

1240
00:59:29,080 --> 00:59:32,640
Speaker 2: bring Segin is like our seven hundred w he's like that.

1241
00:59:32,680 --> 00:59:36,640
Speaker 2: He's our Chicken Report's senior poultry correspondent, Bill sag Dennison

1242
00:59:36,680 --> 00:59:39,400
Speaker 2: to talk about Costco chicken. I don't know if he's

1243
00:59:39,400 --> 00:59:42,720
Speaker 2: ever had Costco chicken, but he's our seven hundred chicken expert.

1244
00:59:42,760 --> 00:59:45,840
Speaker 2: I'm gonna save that topic for maybe an upcoming Stooge Report.

1245
00:59:46,160 --> 00:59:48,840
Speaker 2: Maybe maybe later day you'll hear that the dispute over.

1246
00:59:49,000 --> 00:59:51,520
Speaker 2: It's like, come on, man, are you gonna go after pepper.

1247
00:59:52,080 --> 00:59:54,240
Speaker 2: It's like it's supposed to be seasoned. I get it.

1248
00:59:54,280 --> 00:59:56,200
Speaker 2: If you know all natural chicken and you go to

1249
00:59:56,240 --> 00:59:59,880
Speaker 2: some fast food place and it's not okay, I get that. Yeah,

1250
01:00:00,080 --> 01:00:02,640
Speaker 2: Donald's coffee is supposed to be hot, got it, But

1251
01:00:02,720 --> 01:00:05,520
Speaker 2: it's too hot and that's why now it's luke warm.

1252
01:00:05,880 --> 01:00:07,800
Speaker 2: You've ruined it. I hope they don't ruin the Costco

1253
01:00:07,920 --> 01:00:09,560
Speaker 2: chick and damn well, I'll tell you what you want

1254
01:00:09,560 --> 01:00:11,160
Speaker 2: to start a you want to start a civil war

1255
01:00:11,200 --> 01:00:12,840
Speaker 2: in this country. It's not gonna be over politics. It's

1256
01:00:12,840 --> 01:00:15,880
Speaker 2: not gonna be over racial issues, gender orientations. It's going

1257
01:00:15,960 --> 01:00:18,440
Speaker 2: to be over the dollar fifty hot dog at Costco.

1258
01:00:18,560 --> 01:00:22,640
Speaker 2: You start going after that, after the pizza slice. It's

1259
01:00:22,680 --> 01:00:27,800
Speaker 2: on because Costco army. We run deep. A lot of

1260
01:00:27,840 --> 01:00:31,200
Speaker 2: people love them. Some Costco will fight to the death.

1261
01:00:34,320 --> 01:00:36,480
Speaker 2: You can. You can fight me on this whole thing

1262
01:00:36,520 --> 01:00:40,960
Speaker 2: all you want. You can take that chicken drumstick out

1263
01:00:40,960 --> 01:00:43,560
Speaker 2: of my cold dead hand. How's that sound? You think

1264
01:00:43,600 --> 01:00:45,720
Speaker 2: you got problems? Think Costco's got problems here somebody else

1265
01:00:45,760 --> 01:00:48,760
Speaker 2: having problems. They'll love. We like to punch down to

1266
01:00:48,800 --> 01:00:50,880
Speaker 2: the French. I don't just think it's the thing at

1267
01:00:50,880 --> 01:00:53,400
Speaker 2: this point. So we had that big heist last summer,

1268
01:00:53,400 --> 01:00:57,080
Speaker 2: remember that of the inside job. So just a couple

1269
01:00:57,160 --> 01:00:59,800
Speaker 2: days of a water pipe burst that damage a nineteenth

1270
01:00:59,800 --> 01:01:03,360
Speaker 2: century ceiling, and the ceiling was just the ceiling was

1271
01:01:03,360 --> 01:01:07,280
Speaker 2: actually a work of art. And then a water leak

1272
01:01:07,400 --> 01:01:10,320
Speaker 2: in November damaged several hundred works in the Library of

1273
01:01:10,360 --> 01:01:13,240
Speaker 2: Egyptian antiquities, which is a big, big deal. So you're

1274
01:01:13,240 --> 01:01:15,600
Speaker 2: starting to wonder like, should we be trusting the lou

1275
01:01:15,640 --> 01:01:18,240
Speaker 2: Should we trusting the French to keep all of these

1276
01:01:18,280 --> 01:01:20,880
Speaker 2: antiquities and all this because they don't be doing that

1277
01:01:20,920 --> 01:01:23,440
Speaker 2: good job. You know, we're stealing stuff. We've got water leaks,

1278
01:01:24,760 --> 01:01:27,400
Speaker 2: we got pipes bursting. What's going on over You've got

1279
01:01:27,400 --> 01:01:28,960
Speaker 2: the they had to shut down because they don't have

1280
01:01:29,040 --> 01:01:32,720
Speaker 2: people working. But what are we doing here France? And

1281
01:01:32,800 --> 01:01:35,200
Speaker 2: we want to be more like the French? Right, they're

1282
01:01:35,200 --> 01:01:42,360
Speaker 2: now investigating a twelve million dollar fraud scheme and I'm

1283
01:01:42,400 --> 01:01:45,560
Speaker 2: still trying to figure this out. So here's the fraud

1284
01:01:45,680 --> 01:01:50,560
Speaker 2: scheme that detained nine people and two museum employees and

1285
01:01:50,600 --> 01:01:53,840
Speaker 2: some tour guides. So there were two Chinese tour guides,

1286
01:01:53,920 --> 01:01:57,400
Speaker 2: two to two guides. And how it works if you've

1287
01:01:57,400 --> 01:01:59,439
Speaker 2: never been abroad New Europe anywhere else for that matter,

1288
01:01:59,440 --> 01:02:01,440
Speaker 2: you know, if you're part to big group, and we

1289
01:02:01,520 --> 01:02:03,640
Speaker 2: did used to do this with YMT vacations back in

1290
01:02:03,680 --> 01:02:05,160
Speaker 2: the day. Probably with a group, you know, you have

1291
01:02:05,200 --> 01:02:08,400
Speaker 2: a somebody who leads the pack around, you know, the

1292
01:02:08,440 --> 01:02:11,400
Speaker 2: den mother, and this person will get you to the

1293
01:02:11,400 --> 01:02:13,200
Speaker 2: head of the line for group tours and things because

1294
01:02:13,320 --> 01:02:15,200
Speaker 2: errel juiced and they buy, they get you around and

1295
01:02:16,240 --> 01:02:18,480
Speaker 2: they speak the language. They're you know, they're they're you're

1296
01:02:18,760 --> 01:02:20,960
Speaker 2: you're hiring a fixers, which are but they'll they'll show

1297
01:02:21,000 --> 01:02:22,520
Speaker 2: you the sites and they get you like the groups

1298
01:02:22,520 --> 01:02:23,560
Speaker 2: of the front of the line, so you don't have

1299
01:02:23,600 --> 01:02:25,720
Speaker 2: to wait with everybody else because you know, they give

1300
01:02:25,760 --> 01:02:27,240
Speaker 2: you priority if you're in a tour group. That's what

1301
01:02:27,280 --> 01:02:30,400
Speaker 2: they pay for. That's what you pay for. Anyway, the Chinese,

1302
01:02:30,440 --> 01:02:33,800
Speaker 2: two Chinese tour guides dealing I guess with just Chinese

1303
01:02:33,840 --> 01:02:40,800
Speaker 2: citizens were suspective reusing tickets to bring Chinese tourists into

1304
01:02:40,840 --> 01:02:43,600
Speaker 2: the museum. So they had surveillance that they had wired

1305
01:02:43,640 --> 01:02:47,320
Speaker 2: debs and it confirmed that some guys were reusing tickets

1306
01:02:48,080 --> 01:02:51,840
Speaker 2: and splitting tour groups to avoid fees. And the network

1307
01:02:51,920 --> 01:02:54,640
Speaker 2: is suspected of bringing in up to twenty tour groups

1308
01:02:54,680 --> 01:02:57,560
Speaker 2: a day over the past ten years and then taking

1309
01:02:57,600 --> 01:03:00,520
Speaker 2: the profits and using it to buy real state in

1310
01:03:00,600 --> 01:03:05,040
Speaker 2: France and also Dubai. And this may have also happened

1311
01:03:05,040 --> 01:03:06,920
Speaker 2: at the Palace of over Side. They're still investigating that.

1312
01:03:07,000 --> 01:03:13,160
Speaker 2: I'm like, okay, help me out here. Twenty groups a day,

1313
01:03:13,360 --> 01:03:15,880
Speaker 2: bringing in twenty groups a day, and then they took

1314
01:03:15,880 --> 01:03:19,240
Speaker 2: the profit to invest in real estate. But they're using tickets,

1315
01:03:19,240 --> 01:03:21,320
Speaker 2: saying seems to me like I'm looking at that going

1316
01:03:21,520 --> 01:03:24,360
Speaker 2: this doesn't seem like a high level crime. But they

1317
01:03:24,480 --> 01:03:27,040
Speaker 2: just continue to get more bad press over there. At

1318
01:03:27,040 --> 01:03:29,120
Speaker 2: some point you go, why are we trusting all of

1319
01:03:29,160 --> 01:03:31,360
Speaker 2: these wonderful things to you get you guys can't handle this,

1320
01:03:32,520 --> 01:03:34,280
Speaker 2: And the cry was, you know, we need to expand

1321
01:03:34,320 --> 01:03:36,160
Speaker 2: and we need to modernize, we need to hire people.

1322
01:03:36,200 --> 01:03:38,680
Speaker 2: Will when you go there, you pay a lot of

1323
01:03:38,720 --> 01:03:42,760
Speaker 2: money as a tourist to go see these sites. There's

1324
01:03:42,800 --> 01:03:45,120
Speaker 2: fees involved in this. How are you not taking that

1325
01:03:45,200 --> 01:03:50,280
Speaker 2: money and spending it on weald security and plumbing leaves

1326
01:03:50,320 --> 01:03:51,919
Speaker 2: to scratch your I go, well, where's the money going?

1327
01:03:51,960 --> 01:03:54,800
Speaker 2: So you could go on strike and take another day off.

1328
01:03:54,840 --> 01:03:58,360
Speaker 2: A whole problem with the model over there, It is

1329
01:03:58,440 --> 01:04:01,960
Speaker 2: definitely for sure broken. As long as this doesn't flop

1330
01:04:02,000 --> 01:04:04,640
Speaker 2: over to the Costco Chicken, I think I think we're okay.

1331
01:04:04,960 --> 01:04:06,920
Speaker 2: Quick time out. We've got news in about twelve here

1332
01:04:06,960 --> 01:04:09,240
Speaker 2: coming up at eleven oh seven. He is the president

1333
01:04:09,680 --> 01:04:12,560
Speaker 2: of the Queens City Lodge of the Fraternal Order of Police.

1334
01:04:12,560 --> 01:04:15,440
Speaker 2: That would be ken Kober. We've had a spade of

1335
01:04:15,520 --> 01:04:19,040
Speaker 2: shootings here recently, and and I want to drum up

1336
01:04:19,040 --> 01:04:21,720
Speaker 2: the old tired narrative about how dangerous it is in Cincinnati.

1337
01:04:21,760 --> 01:04:28,439
Speaker 2: Really that's relative, but certainly it's a concerning trend. We've

1338
01:04:28,480 --> 01:04:32,800
Speaker 2: had now shootings on Valentine's Day on a party bus

1339
01:04:33,080 --> 01:04:34,880
Speaker 2: could happen. Right on a party bus, You're going to

1340
01:04:34,920 --> 01:04:38,160
Speaker 2: get shot. That's not good. We had the North Side shooting,

1341
01:04:38,200 --> 01:04:40,520
Speaker 2: two people dead, two injured, and that was more concerning

1342
01:04:40,560 --> 01:04:42,400
Speaker 2: because you know, there are a lot more people around

1343
01:04:42,440 --> 01:04:44,160
Speaker 2: and on all of that, if you looked at some

1344
01:04:44,240 --> 01:04:47,000
Speaker 2: of the coverage of this thing, you saw literally bullet

1345
01:04:47,040 --> 01:04:51,000
Speaker 2: holes in buildings, in storefronts, and now people are going,

1346
01:04:51,000 --> 01:04:52,640
Speaker 2: I don't know if on new business in North Side,

1347
01:04:52,640 --> 01:04:54,720
Speaker 2: this is not the first time it's happened. And at

1348
01:04:54,840 --> 01:04:57,040
Speaker 2: least one individual there said I want to move my business.

1349
01:04:57,440 --> 01:04:59,560
Speaker 2: Whether that happens or not yet to be seen. And

1350
01:04:59,600 --> 01:05:03,200
Speaker 2: then last night, a the body of a female this

1351
01:05:03,320 --> 01:05:06,440
Speaker 2: seed and someone who was shot was found at Lynn

1352
01:05:06,520 --> 01:05:11,360
Speaker 2: and Poplar Streets. So consecutive days of homicides here in Cincinnati.

1353
01:05:11,560 --> 01:05:14,120
Speaker 2: The numbers going right now statistically speaking, it's forty percent,

1354
01:05:14,160 --> 01:05:16,560
Speaker 2: but it's like I think we had I think we

1355
01:05:16,640 --> 01:05:18,920
Speaker 2: went from eight to ten or something like that, So

1356
01:05:19,400 --> 01:05:23,800
Speaker 2: you know how many is it? But I'll ask Ken Cober,

1357
01:05:23,840 --> 01:05:26,120
Speaker 2: this whole situation is like, Okay, well, I know it's

1358
01:05:26,200 --> 01:05:28,160
Speaker 2: we're only halfway through February and we only it's a

1359
01:05:28,240 --> 01:05:31,040
Speaker 2: very very small sample, you know, a month and a

1360
01:05:31,040 --> 01:05:34,000
Speaker 2: half in, but we're seeing crime rise. You're over your

1361
01:05:34,080 --> 01:05:36,080
Speaker 2: last month and now this month we're ahead on pace.

1362
01:05:36,120 --> 01:05:39,360
Speaker 2: And it's a legitimate question is this a sign? Can

1363
01:05:39,360 --> 01:05:41,720
Speaker 2: you see a trend here if this continues through February

1364
01:05:41,760 --> 01:05:46,720
Speaker 2: and then March. Considering we've had incredibly cold temperatures for

1365
01:05:46,800 --> 01:05:49,800
Speaker 2: this year and we haven't seen we finally above the

1366
01:05:49,840 --> 01:05:52,080
Speaker 2: freezing mark. But all of these crimes happened when it

1367
01:05:52,080 --> 01:05:55,000
Speaker 2: was pretty damn cold outside. So if we're seeing those

1368
01:05:55,000 --> 01:05:57,840
Speaker 2: homicides occur when it's cold and typically people are out

1369
01:05:57,960 --> 01:06:01,040
Speaker 2: congregating and doing stuff, what does this mean when we

1370
01:06:01,120 --> 01:06:03,560
Speaker 2: hit festival season? What does this mean from opening day

1371
01:06:03,600 --> 01:06:05,920
Speaker 2: on forward? And can you look at this and be

1372
01:06:06,320 --> 01:06:09,080
Speaker 2: at least concerned that it is a trend and that's

1373
01:06:09,240 --> 01:06:10,800
Speaker 2: not a trend with a month and a half for sure.

1374
01:06:10,880 --> 01:06:13,600
Speaker 2: I would say to me, three months probably makes a trend.

1375
01:06:14,400 --> 01:06:16,840
Speaker 2: But we're two of those three months in already. If

1376
01:06:16,840 --> 01:06:19,760
Speaker 2: that's the case, should we be concerned? Legitimate question? And

1377
01:06:19,800 --> 01:06:22,880
Speaker 2: also what's really changing when it comes to stopping crime.

1378
01:06:22,880 --> 01:06:25,240
Speaker 2: We've heard a lot about cameras, We've heard a lot

1379
01:06:25,280 --> 01:06:28,360
Speaker 2: about judges, and I'm curious. I'll ask Ken this are

1380
01:06:28,360 --> 01:06:30,360
Speaker 2: we seeing movement there are judges now maybe going you

1381
01:06:30,360 --> 01:06:33,680
Speaker 2: know what, maybe we really need to take the fact

1382
01:06:33,680 --> 01:06:36,360
Speaker 2: that when people break or take off or ignore their

1383
01:06:36,400 --> 01:06:39,640
Speaker 2: ankle monitors, that we have to get them immediately and

1384
01:06:39,800 --> 01:06:42,200
Speaker 2: elevate that to a serious felony, which I think it

1385
01:06:42,280 --> 01:06:45,280
Speaker 2: is because if you are taking off your ankle monitor,

1386
01:06:46,680 --> 01:06:49,760
Speaker 2: or if you're simply you know, you're outside of your

1387
01:06:50,000 --> 01:06:54,000
Speaker 2: confines of the ankle monitor, of your restriction, it's probably

1388
01:06:54,000 --> 01:06:56,920
Speaker 2: not because you know, you just decided, Hey, I'm out

1389
01:06:56,960 --> 01:06:58,880
Speaker 2: of food, I need to go to Kroger, I need

1390
01:06:58,920 --> 01:07:02,400
Speaker 2: to go to the store. I got bills to pay. No,

1391
01:07:02,520 --> 01:07:06,200
Speaker 2: it's probably you're going to do something bad. So to me,

1392
01:07:06,280 --> 01:07:08,280
Speaker 2: it's like we've got someone who got a monitor on them.

1393
01:07:08,280 --> 01:07:10,360
Speaker 2: We should know where they are. Let's go get them.

1394
01:07:10,600 --> 01:07:13,200
Speaker 2: We took that more seriously, I think that people who

1395
01:07:13,240 --> 01:07:16,040
Speaker 2: are on that restriction would, But if you don't, then

1396
01:07:16,160 --> 01:07:20,000
Speaker 2: you won't. That's how it is kind of like, you know,

1397
01:07:20,920 --> 01:07:22,680
Speaker 2: the cameras. To some degree, we talked about, hey, we

1398
01:07:22,720 --> 01:07:25,600
Speaker 2: got to put cameras and cameras go okay, someone a

1399
01:07:25,680 --> 01:07:27,840
Speaker 2: kid died two years ago, we put cameras in a park,

1400
01:07:28,720 --> 01:07:31,920
Speaker 2: except we didn't, and so rightly. So now today it's like, well,

1401
01:07:31,960 --> 01:07:33,360
Speaker 2: you told us you're doing this stuff, and you're not

1402
01:07:33,400 --> 01:07:36,320
Speaker 2: doing it. It's is that what's fueling the whole problem.

1403
01:07:36,320 --> 01:07:38,360
Speaker 2: I don't know. Cannill have perspective on that coming up.

1404
01:07:38,360 --> 01:07:39,960
Speaker 2: And of course I should point out two that day

1405
01:07:40,040 --> 01:07:43,080
Speaker 2: yesterday in the Indianapolis area, which is just actually outside

1406
01:07:43,080 --> 01:07:46,200
Speaker 2: of Indy, a two officers shot, one fatally on the job.

1407
01:07:46,240 --> 01:07:49,439
Speaker 2: And that always, I always said that always literally hits

1408
01:07:49,480 --> 01:07:51,440
Speaker 2: for police officers too, because that is in the back

1409
01:07:51,440 --> 01:07:53,360
Speaker 2: of your mind all the time, and when it happens

1410
01:07:53,400 --> 01:07:55,680
Speaker 2: to someone as close away, whether it's Indy or Cleveland

1411
01:07:55,800 --> 01:07:58,440
Speaker 2: or Columbus or Louisville or it doesn't matter, but an

1412
01:07:58,440 --> 01:08:02,640
Speaker 2: officer down is pauster concern for local law enforcement. So

1413
01:08:02,680 --> 01:08:05,400
Speaker 2: we'll talk to Ken Kober about that today. Coming up

1414
01:08:05,400 --> 01:08:07,400
Speaker 2: on the show on seven hundred w W then eleven

1415
01:08:07,440 --> 01:08:10,960
Speaker 2: thirty five, it's Andy Schaeffer simply Money, our weekly money

1416
01:08:11,040 --> 01:08:13,800
Speaker 2: check up. AI making news once again today. Earlier in

1417
01:08:13,800 --> 01:08:18,080
Speaker 2: the show, I had some been talking about the AI

1418
01:08:18,200 --> 01:08:21,439
Speaker 2: revolution here and what that actually is going to mean

1419
01:08:21,600 --> 01:08:24,040
Speaker 2: for the state of Ohio because we're trying to grow

1420
01:08:24,080 --> 01:08:27,599
Speaker 2: this stuff out. But AI stock's taking a hit for sure,

1421
01:08:27,680 --> 01:08:29,760
Speaker 2: what the long term consequences of that are and more.

1422
01:08:29,760 --> 01:08:31,439
Speaker 2: It's coming up in just a few minutes here on

1423
01:08:31,439 --> 01:08:35,720
Speaker 2: the Scottsland Show on seven hundred WLW. Final point here too.

1424
01:08:35,720 --> 01:08:40,600
Speaker 2: We have the Olympics going on, and there's always controversy

1425
01:08:40,640 --> 01:08:42,280
Speaker 2: in the Olympics. You know, we had the quad God

1426
01:08:42,920 --> 01:08:47,080
Speaker 2: and also we had when you have when you invest

1427
01:08:47,080 --> 01:08:49,160
Speaker 2: all your marketing and like a couple athletes going, this

1428
01:08:49,200 --> 01:08:50,840
Speaker 2: is gonna be the greatest thing ever. And like the

1429
01:08:50,920 --> 01:08:53,040
Speaker 2: quad God, he's going to do a couple of quadruple

1430
01:08:53,080 --> 01:08:55,479
Speaker 2: no one's ever done this before, and he missed them both.

1431
01:08:56,240 --> 01:08:58,400
Speaker 2: You know, look at the guy going just tapping your thumbs,

1432
01:08:58,439 --> 01:09:01,000
Speaker 2: stapping your fingers, going, yeah, that was your thing and

1433
01:09:01,680 --> 01:09:05,080
Speaker 2: now it's not. And you feel badly for him because

1434
01:09:05,120 --> 01:09:08,720
Speaker 2: now there's all the pressure and the NonStop questioning over

1435
01:09:08,760 --> 01:09:11,320
Speaker 2: his routine certainly going to cost some mental health issues

1436
01:09:11,320 --> 01:09:13,960
Speaker 2: for sure. Maybe we'll talk to Julie Hattershare about that

1437
01:09:13,960 --> 01:09:16,360
Speaker 2: on Monday. I think it's a good topic. And of course,

1438
01:09:16,760 --> 01:09:18,840
Speaker 2: you know, we have had skiers going down, Lindsay Vaughn

1439
01:09:18,880 --> 01:09:20,920
Speaker 2: who's blown her leg out like three times. I don't

1440
01:09:20,920 --> 01:09:22,400
Speaker 2: know if she's gonna come back from this one, but

1441
01:09:22,840 --> 01:09:24,760
Speaker 2: that was sad to see for sure. We also have

1442
01:09:24,800 --> 01:09:27,719
Speaker 2: this controversy going on in Canada, and I think it's awesome.

1443
01:09:28,960 --> 01:09:30,759
Speaker 2: The curling team. You know, watch a lot of curling.

1444
01:09:30,920 --> 01:09:33,120
Speaker 2: Curling's on those sports where you would not watch it,

1445
01:09:33,160 --> 01:09:35,920
Speaker 2: probably when it wasn't in the Olympics. So every four

1446
01:09:36,000 --> 01:09:39,240
Speaker 2: years like, oh yeah, curling. Now where I grew up in,

1447
01:09:39,720 --> 01:09:42,479
Speaker 2: you know, up in New York State, we'd get Canadian

1448
01:09:42,560 --> 01:09:44,320
Speaker 2: TV state back in the day when you had broadcast

1449
01:09:44,400 --> 01:09:47,760
Speaker 2: come over, we had three two, you know, and we're

1450
01:09:47,840 --> 01:09:49,760
Speaker 2: lucky too because normally, you know, back they had four

1451
01:09:49,800 --> 01:09:51,800
Speaker 2: TV hits channels. I think we had eight because of

1452
01:09:51,800 --> 01:09:54,160
Speaker 2: the Canadian ones. But the Crappies stuff would be on

1453
01:09:54,280 --> 01:09:56,320
Speaker 2: like you'd wake up Saturday morning as a kid and

1454
01:09:56,360 --> 01:09:58,880
Speaker 2: flip around looking for cartoons and it'd be you know,

1455
01:09:59,200 --> 01:10:03,040
Speaker 2: religious programs, I mean in loveless yoga and you and

1456
01:10:03,160 --> 01:10:06,240
Speaker 2: the Canadian TV had have curling on like this, this sucks,

1457
01:10:06,800 --> 01:10:08,680
Speaker 2: but curling I'm kind of exposed to it back in

1458
01:10:08,720 --> 01:10:12,680
Speaker 2: the day, which is like Canada's version of cornhole. So

1459
01:10:12,840 --> 01:10:15,439
Speaker 2: the curling team is accused of cheating. On Friday, Sweden

1460
01:10:15,560 --> 01:10:17,280
Speaker 2: was all up in their face and literally look like

1461
01:10:17,320 --> 01:10:20,280
Speaker 2: they're gonna start hitting each other with the brooms. They're

1462
01:10:20,320 --> 01:10:22,639
Speaker 2: swearing at each other, calling to dropping the F bob.

1463
01:10:22,720 --> 01:10:24,439
Speaker 2: I mean, this is curling. It seems like a gentile

1464
01:10:24,520 --> 01:10:29,720
Speaker 2: sport right all because one of the I guess the curlers,

1465
01:10:30,400 --> 01:10:32,840
Speaker 2: once you let go of the handle, you're not allowed

1466
01:10:32,880 --> 01:10:34,599
Speaker 2: to touch it, but it looked like he was putting

1467
01:10:34,600 --> 01:10:37,320
Speaker 2: his finger, just touching it with his index finger and

1468
01:10:37,400 --> 01:10:40,200
Speaker 2: kind of guiding as it left his hand, and the

1469
01:10:40,240 --> 01:10:42,960
Speaker 2: Swedes were calling him out on that one. But there

1470
01:10:42,960 --> 01:10:45,599
Speaker 2: was no formal complaint in that thing and no one

1471
01:10:45,680 --> 01:10:48,400
Speaker 2: was sanctioned and Canada went on. So it was kind

1472
01:10:48,400 --> 01:10:50,679
Speaker 2: of funny to watch all the sports things don't really

1473
01:10:50,680 --> 01:10:54,519
Speaker 2: take like, you know, all athletes are competitive and I

1474
01:10:54,560 --> 01:10:57,000
Speaker 2: see hot you know, hockey SPI watch hockey players scrap

1475
01:10:57,040 --> 01:10:59,040
Speaker 2: all the time, you know, facewash, guys punching each other

1476
01:10:59,080 --> 01:11:01,439
Speaker 2: with my fight might brain out. But curly just seems

1477
01:11:01,439 --> 01:11:03,360
Speaker 2: like a sport where we wouldn't have that. Oh you

1478
01:11:03,400 --> 01:11:07,000
Speaker 2: know what, when you're competitive, doesn't matter the sport. People

1479
01:11:07,040 --> 01:11:09,880
Speaker 2: are still willing to throw down, still willing to throw down.

1480
01:11:10,080 --> 01:11:12,000
Speaker 2: We'll do a news update as I mentioned, Ken Coober's

1481
01:11:12,040 --> 01:11:14,680
Speaker 2: next on the show at seven hundred WLW. Do you

1482
01:11:14,760 --> 01:11:18,519
Speaker 2: want to be in a man Stott Flung show? On

1483
01:11:18,560 --> 01:11:21,559
Speaker 2: seven hundred w LW. As we cut through, it's on

1484
01:11:21,560 --> 01:11:25,000
Speaker 2: this Tuesday, getting ready for some Marty Gray action tonight.

1485
01:11:25,040 --> 01:11:28,880
Speaker 2: More on that later. We had let's see a shooting

1486
01:11:28,920 --> 01:11:31,160
Speaker 2: on a party of us on Valentine's Day we in

1487
01:11:31,200 --> 01:11:35,000
Speaker 2: that left one dead, one injured. Sunday we had about

1488
01:11:35,080 --> 01:11:37,720
Speaker 2: one forty am two people killed, two more injury to

1489
01:11:37,720 --> 01:11:40,559
Speaker 2: shooting at a club on Hamilton Avenue in North Side.

1490
01:11:40,640 --> 01:11:43,599
Speaker 2: Of course, overnight we have a body that was found

1491
01:11:44,160 --> 01:11:48,439
Speaker 2: one at Lynn and Poplar, I believe. So they're kind

1492
01:11:48,479 --> 01:11:51,160
Speaker 2: of a steady drumbeat of homicides and the numbers are

1493
01:11:51,280 --> 01:11:54,160
Speaker 2: up a little bit year over year, which is causing

1494
01:11:54,160 --> 01:11:56,240
Speaker 2: concern joining the show this morning as the president of

1495
01:11:56,280 --> 01:11:59,720
Speaker 2: the Cincinnati Lodge Quincy Lodge FOP at be Ken cober Ken.

1496
01:11:59,720 --> 01:12:02,680
Speaker 1: Welcome you been, hey, good morning, Thanks for having me.

1497
01:12:02,680 --> 01:12:03,120
Speaker 1: I'm doing well.

1498
01:12:03,200 --> 01:12:03,439
Speaker 6: Yeah.

1499
01:12:03,479 --> 01:12:06,160
Speaker 2: First I did want to give condolences because anytime an

1500
01:12:06,160 --> 01:12:09,200
Speaker 2: officer goes down to matter where it has costs for

1501
01:12:09,240 --> 01:12:11,759
Speaker 2: reflection and concerned. And we just had two officers shut

1502
01:12:12,120 --> 01:12:17,120
Speaker 2: outside Indianapolis yesterday won fatally for that matter, So condolences.

1503
01:12:17,120 --> 01:12:20,479
Speaker 1: Appreciate it. It's terrible. Actually, I was just an Indianapolis over

1504
01:12:20,520 --> 01:12:23,200
Speaker 1: the weekend and it's just terrible, terrible that things like

1505
01:12:23,200 --> 01:12:23,639
Speaker 1: this happen.

1506
01:12:23,920 --> 01:12:26,000
Speaker 2: Yeah, it does, well, we'll see. I know that they

1507
01:12:26,040 --> 01:12:28,680
Speaker 2: caught the guy responsible or the subject anyway, so that's

1508
01:12:28,880 --> 01:12:30,880
Speaker 2: get him off the street anyway and behind bars if

1509
01:12:30,960 --> 01:12:33,880
Speaker 2: not worse. But so we had a reduction after the

1510
01:12:33,960 --> 01:12:36,519
Speaker 2: last for well the first two months of this year.

1511
01:12:36,520 --> 01:12:39,200
Speaker 2: I guess we're seeing your rise after reduction last year.

1512
01:12:39,240 --> 01:12:41,920
Speaker 2: So crime was down, but two high I said, mentioned

1513
01:12:41,920 --> 01:12:44,600
Speaker 2: the high profile shootings and the fatal last night at

1514
01:12:44,640 --> 01:12:46,479
Speaker 2: popular Land. Crime numbers this year and it's again it's

1515
01:12:46,479 --> 01:12:50,519
Speaker 2: a very small sample. We're halfway through February, but a

1516
01:12:50,600 --> 01:12:53,120
Speaker 2: year of a year were up like forty percent. In

1517
01:12:53,240 --> 01:12:56,360
Speaker 2: considering the fact that it has been bloody cold ever

1518
01:12:56,400 --> 01:12:59,720
Speaker 2: since Christmas. That takes a lot of doing to get

1519
01:12:59,720 --> 01:13:01,680
Speaker 2: people out on the streets shooting people or in this

1520
01:13:01,720 --> 01:13:04,880
Speaker 2: case clubs. Maybe is that a concern and is that

1521
01:13:04,920 --> 01:13:06,639
Speaker 2: a concern of the hot summer to come?

1522
01:13:07,840 --> 01:13:10,560
Speaker 1: Sure, it absolutely is. I mean we did see a

1523
01:13:10,640 --> 01:13:12,719
Speaker 1: little bit of spike in a little bit warmer weather,

1524
01:13:12,760 --> 01:13:16,200
Speaker 1: which I'm sure it probably contributed to more people being

1525
01:13:16,240 --> 01:13:19,080
Speaker 1: out and of course had alcohol and guns at at

1526
01:13:19,120 --> 01:13:21,959
Speaker 1: a nightclub and you know that's is a recipe for disaster.

1527
01:13:22,640 --> 01:13:24,519
Speaker 1: But yeah, it is very concerning that it's still this

1528
01:13:24,720 --> 01:13:27,320
Speaker 1: cold and you know we're seeing you know, I mean,

1529
01:13:27,360 --> 01:13:30,679
Speaker 1: we're up to ten homicides already this year. That's certainly concerning.

1530
01:13:31,200 --> 01:13:33,000
Speaker 2: Yeah, how do we compare it to other cities like like,

1531
01:13:33,040 --> 01:13:34,920
Speaker 2: for example, Cleveland or maybe Columbus.

1532
01:13:35,960 --> 01:13:38,880
Speaker 1: You know, it's ironic. I was reading an article and

1533
01:13:39,240 --> 01:13:42,240
Speaker 1: talked to the Columbus e FIP president who's a friend

1534
01:13:42,240 --> 01:13:45,160
Speaker 1: of mine, and Columbus so far this year, which is

1535
01:13:45,200 --> 01:13:48,360
Speaker 1: almost twice the size of Cincinnati and typically is much

1536
01:13:48,400 --> 01:13:51,839
Speaker 1: more violent, and they're actually they have a big reduction

1537
01:13:51,880 --> 01:13:54,280
Speaker 1: in homicides already. I mean they have six, we're at ten.

1538
01:13:54,800 --> 01:13:59,240
Speaker 1: That is certainly a troubling trend. I'm not sure what

1539
01:13:59,280 --> 01:14:01,920
Speaker 1: to attribute it to, but it is certainly concerning that

1540
01:14:02,720 --> 01:14:05,280
Speaker 1: city half the size of Columbus is almost doubling them

1541
01:14:05,280 --> 01:14:06,519
Speaker 1: in homicides already this year.

1542
01:14:06,600 --> 01:14:09,679
Speaker 2: Yeah, they're metro areas that were huge. Our birds are bigger,

1543
01:14:09,680 --> 01:14:12,320
Speaker 2: but the sides of the city itself is massive, and

1544
01:14:12,360 --> 01:14:16,120
Speaker 2: they've had ten. Yeah, I look at it, go wow,

1545
01:14:16,560 --> 01:14:18,479
Speaker 2: what's causing this? Because you really have to work hard

1546
01:14:18,479 --> 01:14:20,519
Speaker 2: to get out in this cold weather. Generally the cold

1547
01:14:20,560 --> 01:14:25,040
Speaker 2: scarce street crime away naturally, but you have a fear

1548
01:14:25,080 --> 01:14:26,640
Speaker 2: once it starts to warm up and we get into

1549
01:14:26,680 --> 01:14:29,479
Speaker 2: the summer celebration season that we might see a very

1550
01:14:29,520 --> 01:14:31,560
Speaker 2: bloody summer. It doesn't mean that that's not going to

1551
01:14:31,600 --> 01:14:33,760
Speaker 2: reverse course, but it certainly is something we should be

1552
01:14:33,760 --> 01:14:34,200
Speaker 2: looking at.

1553
01:14:35,320 --> 01:14:35,400
Speaker 5: Well.

1554
01:14:35,479 --> 01:14:38,280
Speaker 1: Yeah, you know, and it's I talked about this at

1555
01:14:38,360 --> 01:14:41,160
Speaker 1: nauseum now and how the court system is not doing

1556
01:14:41,200 --> 01:14:44,400
Speaker 1: anything to protect the community. I just had an officer

1557
01:14:44,479 --> 01:14:48,559
Speaker 1: call me this past week. It was just furious. He

1558
01:14:48,640 --> 01:14:53,320
Speaker 1: had a court case where a young man driving drunk

1559
01:14:54,120 --> 01:14:58,120
Speaker 1: hits and kills somebody aggravated vehicular homicide literally kills somebody

1560
01:14:58,200 --> 01:15:02,479
Speaker 1: driving a car. He ends up getting six months at

1561
01:15:02,560 --> 01:15:06,680
Speaker 1: River City in a three years of probation. I mean

1562
01:15:06,720 --> 01:15:08,800
Speaker 1: literally a slap on the rift. You know, I spent

1563
01:15:09,240 --> 01:15:11,640
Speaker 1: a couple of years in our traffic unit back in

1564
01:15:11,640 --> 01:15:14,679
Speaker 1: the early two thousands, where if you got a conviction

1565
01:15:14,760 --> 01:15:17,400
Speaker 1: for an aggravated vikio homicide, you took somebody's life because

1566
01:15:17,439 --> 01:15:20,280
Speaker 1: you were drunk, you were high, whatever else, you were

1567
01:15:20,280 --> 01:15:22,840
Speaker 1: looking at minimum five six years in prison.

1568
01:15:23,040 --> 01:15:24,440
Speaker 3: Yeah, and now.

1569
01:15:24,600 --> 01:15:27,559
Speaker 1: Six months, six months, and this person's going to be

1570
01:15:27,560 --> 01:15:29,920
Speaker 1: back running around on the streets. You know, when there

1571
01:15:29,920 --> 01:15:33,800
Speaker 1: are no consequences for your actions. This is exactly what

1572
01:15:33,840 --> 01:15:35,599
Speaker 1: we're seeing. I mean, people are just going to continue

1573
01:15:35,640 --> 01:15:37,720
Speaker 1: to shoot each other because they're not fearing any kind

1574
01:15:37,720 --> 01:15:38,360
Speaker 1: of consequence.

1575
01:15:38,439 --> 01:15:41,400
Speaker 2: Well, no question, we saw the His name was Robert Shall.

1576
01:15:41,479 --> 01:15:43,519
Speaker 2: He was charged with murdering the drive by shooting that

1577
01:15:43,720 --> 01:15:46,880
Speaker 2: killed Justin Johnson when Thursday Night football was in town

1578
01:15:46,920 --> 01:15:48,360
Speaker 2: last year. It was the Bengals name. But you're right

1579
01:15:48,360 --> 01:15:50,200
Speaker 2: in front of the end between tavern. This guy's weren't

1580
01:15:50,200 --> 01:15:53,400
Speaker 2: an ankle monitor for charges considering a concealed weapon of

1581
01:15:53,479 --> 01:15:56,360
Speaker 2: legal gun possession a gun under disability. He got a

1582
01:15:56,400 --> 01:15:58,400
Speaker 2: twenty thousand dollars bond, paid ten percent of that in

1583
01:15:58,479 --> 01:16:01,719
Speaker 2: electronic monitoring. Back in interview, you know he's around shooting

1584
01:16:01,720 --> 01:16:04,639
Speaker 2: people with an ankle monitor on. We also recall the

1585
01:16:04,760 --> 01:16:08,680
Speaker 2: pivotal moment at Fountain Square where Shaquille Ferguson said it

1586
01:16:08,720 --> 01:16:10,600
Speaker 2: was dell self defense. The people he shot through the

1587
01:16:10,600 --> 01:16:12,840
Speaker 2: window of City Bird Chicken were actually armed and pointing

1588
01:16:12,840 --> 01:16:15,280
Speaker 2: a gun at him. And that's you know, where people

1589
01:16:15,280 --> 01:16:18,160
Speaker 2: are around on Fountain Square. He was put on probation

1590
01:16:18,400 --> 01:16:20,960
Speaker 2: a month before for a violent crime. Is this whole

1591
01:16:21,040 --> 01:16:25,919
Speaker 2: narrative with judges being two lax and also the enforcement

1592
01:16:25,960 --> 01:16:28,160
Speaker 2: and getting people off the streets who are in violation

1593
01:16:28,720 --> 01:16:31,880
Speaker 2: of breaking or wearing their ankle monitor outside the alerts

1594
01:16:31,880 --> 01:16:33,599
Speaker 2: go off. Have we got any better about that since

1595
01:16:33,640 --> 01:16:34,120
Speaker 2: the summer?

1596
01:16:35,360 --> 01:16:35,400
Speaker 5: No?

1597
01:16:36,920 --> 01:16:39,880
Speaker 1: I think you look at Cincinnati wanted to be a

1598
01:16:39,880 --> 01:16:43,320
Speaker 1: sanctuary city. Apparently the Hamilton County Courthouse he's become a

1599
01:16:43,360 --> 01:16:48,080
Speaker 1: sanctuary for criminals. There's just no accountability. And as long

1600
01:16:48,120 --> 01:16:50,360
Speaker 1: as we continue to see that no accountability, you know,

1601
01:16:50,840 --> 01:16:53,080
Speaker 1: if there's no consequences, people are going to go out

1602
01:16:53,080 --> 01:16:54,800
Speaker 1: and do whatever they want. They're going to commit violent crime,

1603
01:16:54,880 --> 01:16:57,400
Speaker 1: knowing that they're going to be right back out. And

1604
01:16:57,439 --> 01:16:58,559
Speaker 1: that's exactly what we're seeing.

1605
01:16:58,760 --> 01:17:00,759
Speaker 2: Why do you think judges aren't listening to this outcraft

1606
01:17:00,760 --> 01:17:01,320
Speaker 2: from the public.

1607
01:17:03,840 --> 01:17:06,640
Speaker 1: I think some of these judges they ran on this,

1608
01:17:06,760 --> 01:17:09,960
Speaker 1: they ran on bail reform, they ran on making sure

1609
01:17:10,000 --> 01:17:12,960
Speaker 1: that you know, there's this social justice, all of these things,

1610
01:17:12,960 --> 01:17:15,439
Speaker 1: so they're not being shy about it. And it's what

1611
01:17:15,479 --> 01:17:18,480
Speaker 1: the county's voting for. You know, we had some fantastic

1612
01:17:18,560 --> 01:17:22,320
Speaker 1: judges that have recently been you know, kicked out of

1613
01:17:22,320 --> 01:17:26,000
Speaker 1: office in exchange for judges who have said, no, we

1614
01:17:26,080 --> 01:17:29,000
Speaker 1: want lower no bail, or we're doing cashlest bill, We're

1615
01:17:29,040 --> 01:17:30,960
Speaker 1: doing all these things. So it's exactly what they're saying

1616
01:17:31,000 --> 01:17:33,599
Speaker 1: they want to do, and for whatever reason, the people

1617
01:17:33,640 --> 01:17:35,960
Speaker 1: in the county are going for this, and it's just

1618
01:17:36,000 --> 01:17:38,360
Speaker 1: it's making this county much more dangerous and it's going

1619
01:17:38,439 --> 01:17:39,040
Speaker 1: to continue to.

1620
01:17:39,520 --> 01:17:41,559
Speaker 2: Well, I mean, you know, the county can cover continues

1621
01:17:41,600 --> 01:17:43,280
Speaker 2: to vote and look look at it, you know, despite

1622
01:17:43,360 --> 01:17:45,240
Speaker 2: the problems with Terry Thigi and we'll get into that

1623
01:17:45,280 --> 01:17:47,160
Speaker 2: in just a second. Ball these things and at the

1624
01:17:47,240 --> 01:17:49,120
Speaker 2: end of the day, we just elected all the people

1625
01:17:49,240 --> 01:17:51,280
Speaker 2: that had a hand on this to begin with, it's

1626
01:17:51,320 --> 01:17:53,560
Speaker 2: not a concern for the resident Cincinnati, why should it

1627
01:17:53,600 --> 01:17:54,240
Speaker 2: be concerned for you?

1628
01:17:54,280 --> 01:17:57,559
Speaker 1: Then one might ask, well, and that's that's the hard

1629
01:17:57,560 --> 01:17:59,920
Speaker 1: part is because you know, every police officer, like much

1630
01:18:00,040 --> 01:18:03,800
Speaker 1: self Swort, took an oath to protect the communities we serve, right,

1631
01:18:04,000 --> 01:18:06,960
Speaker 1: and it's extremely frustrating when you have officers that are

1632
01:18:06,960 --> 01:18:09,320
Speaker 1: going out doing great work getting guns off the street.

1633
01:18:09,600 --> 01:18:11,800
Speaker 1: You're getting violent offenders off the street, only to be

1634
01:18:11,880 --> 01:18:15,120
Speaker 1: let out. Yeah, you know, I'm quite honestly, I am

1635
01:18:15,200 --> 01:18:18,559
Speaker 1: surprised that the doors in the courthouse haven't come off

1636
01:18:18,600 --> 01:18:21,439
Speaker 1: the tracks because the door is revolving so quickly. Yeah,

1637
01:18:22,600 --> 01:18:26,080
Speaker 1: it's just it's it's ridiculous and it's frustrating to see

1638
01:18:26,080 --> 01:18:29,679
Speaker 1: that it's going on, and it makes cops feel helpless

1639
01:18:29,680 --> 01:18:30,320
Speaker 1: a lot of times.

1640
01:18:30,640 --> 01:18:30,840
Speaker 6: Yeah.

1641
01:18:30,920 --> 01:18:33,680
Speaker 2: Ken Cober, president of the Queen City Lodge FOP, on

1642
01:18:33,680 --> 01:18:37,759
Speaker 2: the show this morning on seven hundred WLW, and talking

1643
01:18:37,760 --> 01:18:39,880
Speaker 2: about the shooting last night. We have a steady stated

1644
01:18:39,880 --> 01:18:42,360
Speaker 2: of shootings here on North Side and you look at

1645
01:18:42,360 --> 01:18:44,840
Speaker 2: that one in particular, Ken, that's troubling because there's a

1646
01:18:44,880 --> 01:18:46,880
Speaker 2: business owner. I was watching the news last night. I

1647
01:18:46,920 --> 01:18:49,679
Speaker 2: think it was five and this guy owns an appliance

1648
01:18:49,720 --> 01:18:52,160
Speaker 2: place and it's in front of his building shot up.

1649
01:18:52,200 --> 01:18:54,360
Speaker 2: He said, yeah, it's not the first time he goes.

1650
01:18:54,560 --> 01:18:56,800
Speaker 2: I'm thinking about moving off the main strip out of

1651
01:18:56,800 --> 01:18:59,040
Speaker 2: the way. You know, here's a community like Norris Side.

1652
01:18:59,080 --> 01:19:02,400
Speaker 2: Generally there's crime there, but it's not like the areas

1653
01:19:02,400 --> 01:19:04,880
Speaker 2: that typically we see when it's started. When bullets start

1654
01:19:04,880 --> 01:19:07,240
Speaker 2: flying around there and people going, hey, listen, I'm out,

1655
01:19:07,840 --> 01:19:10,080
Speaker 2: that should be a wake up call to those leading

1656
01:19:10,120 --> 01:19:11,439
Speaker 2: our city.

1657
01:19:11,720 --> 01:19:13,719
Speaker 1: You would think you would think the elected leaders would

1658
01:19:13,720 --> 01:19:16,759
Speaker 1: look at this and see that businesses are frustrated, citizens

1659
01:19:16,760 --> 01:19:19,280
Speaker 1: are frustrated, the police are frustrated. Maybe we should change

1660
01:19:19,280 --> 01:19:23,200
Speaker 1: our ideology. But then again, you continue to get re elected.

1661
01:19:23,240 --> 01:19:25,760
Speaker 1: So apparently, you know, the people that are speaking out

1662
01:19:25,760 --> 01:19:28,200
Speaker 1: about crime, the people that are speaking out against the violence,

1663
01:19:28,560 --> 01:19:30,439
Speaker 1: or maybe the minority of their voters.

1664
01:19:30,720 --> 01:19:31,120
Speaker 6: I don't know.

1665
01:19:31,160 --> 01:19:31,720
Speaker 1: I don't get it.

1666
01:19:32,520 --> 01:19:34,200
Speaker 2: Yeah, I don't either. I mean, I get it. We

1667
01:19:34,600 --> 01:19:36,479
Speaker 2: have to look at you know, we're locking people up

1668
01:19:36,479 --> 01:19:39,040
Speaker 2: from marijuana possession and stuff like that, and clearly that

1669
01:19:39,200 --> 01:19:42,640
Speaker 2: was wrongheaded. And now we're talking about expunging records and

1670
01:19:42,680 --> 01:19:44,640
Speaker 2: banning the box. I have no problem with that. But

1671
01:19:44,720 --> 01:19:47,360
Speaker 2: when someone picks up the gun and commission of a

1672
01:19:47,360 --> 01:19:50,759
Speaker 2: crime of a violent felony and then they get released

1673
01:19:50,760 --> 01:19:53,519
Speaker 2: on their own recognizance to go out and do it again,

1674
01:19:53,880 --> 01:19:56,040
Speaker 2: they completely thumb their nose at the system. I mean,

1675
01:19:56,080 --> 01:19:58,840
Speaker 2: you're past the point of reform. I would think at

1676
01:19:58,840 --> 01:20:00,360
Speaker 2: that case, if you didn't learn your leus in the

1677
01:20:00,439 --> 01:20:02,880
Speaker 2: first time, why are we giving you a second chance.

1678
01:20:02,920 --> 01:20:05,160
Speaker 2: I think that's fair. I think most people in Cincinnati's

1679
01:20:05,240 --> 01:20:07,040
Speaker 2: voters look at that and go, yeah, that that seems

1680
01:20:07,040 --> 01:20:08,880
Speaker 2: about right. If you're going to be a predator with

1681
01:20:08,960 --> 01:20:11,479
Speaker 2: a weapon, uh, and you don't get the message the

1682
01:20:11,479 --> 01:20:14,240
Speaker 2: first time and you do it literally, why you're well,

1683
01:20:14,280 --> 01:20:16,160
Speaker 2: you just got to you walked out. Of course, someone

1684
01:20:16,240 --> 01:20:19,240
Speaker 2: just right coun walked out of court basically and reviolated

1685
01:20:19,520 --> 01:20:21,959
Speaker 2: after promising they'd get a job and be on community

1686
01:20:21,960 --> 01:20:24,360
Speaker 2: controlling all these wonderful things they promised. A judge, I'm

1687
01:20:24,360 --> 01:20:26,439
Speaker 2: sorry when you break it. I don't think there should

1688
01:20:26,439 --> 01:20:27,160
Speaker 2: be a third chance.

1689
01:20:28,400 --> 01:20:31,880
Speaker 1: No, I completely agree. I absolutely agree with you. And

1690
01:20:31,960 --> 01:20:34,800
Speaker 1: unfortunately that is not the ideology of many of these

1691
01:20:34,880 --> 01:20:37,560
Speaker 1: judges in Hamilton County, and there is going to be

1692
01:20:37,560 --> 01:20:40,760
Speaker 1: a direct correlation between a bloody summer and you know,

1693
01:20:40,800 --> 01:20:43,160
Speaker 1: these criminals not being held accountable. We're going to see

1694
01:20:43,160 --> 01:20:45,120
Speaker 1: a time and time again. I'm mean, look at you know,

1695
01:20:45,240 --> 01:20:48,320
Speaker 1: just just from the city aspect. You know, they just

1696
01:20:48,400 --> 01:20:51,680
Speaker 1: re elected all the city council, you know, the mayor. Yeah,

1697
01:20:51,760 --> 01:20:54,280
Speaker 1: and it was said, look, we're this is we're all

1698
01:20:54,320 --> 01:20:58,040
Speaker 1: for cashless bail, we're all for our bonds, and they

1699
01:20:58,080 --> 01:21:01,240
Speaker 1: vote them. So it's clearly this is what they want. Yeah,

1700
01:21:01,280 --> 01:21:02,400
Speaker 1: So this is what they're gonna get.

1701
01:21:02,600 --> 01:21:04,200
Speaker 2: This is the effect of that too. And it's certainly

1702
01:21:04,280 --> 01:21:07,360
Speaker 2: not everyone, but it's enough towards a steady drum beat.

1703
01:21:07,360 --> 01:21:09,599
Speaker 2: And the crime numbers are going back up again a

1704
01:21:09,760 --> 01:21:11,800
Speaker 2: very very small sample, and you're talking in different fan

1705
01:21:11,920 --> 01:21:14,120
Speaker 2: like seven last year and ten this year. But still

1706
01:21:14,439 --> 01:21:16,599
Speaker 2: it's not the right trajectory and it's not a good

1707
01:21:16,600 --> 01:21:19,920
Speaker 2: look for these folks. I'll also ask too that you know,

1708
01:21:20,000 --> 01:21:22,640
Speaker 2: if if all of this stuff about getting rid of

1709
01:21:22,680 --> 01:21:26,360
Speaker 2: Terry Thiji was driven by the rise and crime, the

1710
01:21:26,360 --> 01:21:29,120
Speaker 2: problem if the numbers are going back up again, is

1711
01:21:29,160 --> 01:21:31,479
Speaker 2: this all on Terry Thigi And not only that, the

1712
01:21:31,479 --> 01:21:33,200
Speaker 2: fact of the matters. I think the Inquirer just did

1713
01:21:33,200 --> 01:21:35,080
Speaker 2: a piece on this. The other day, going what what

1714
01:21:35,200 --> 01:21:37,960
Speaker 2: is good? The contract's going to expire with the local

1715
01:21:38,040 --> 01:21:42,120
Speaker 2: law firm with' taft in literally just a week or so.

1716
01:21:42,160 --> 01:21:43,920
Speaker 2: That said, hey, we got to get this thing wrapped up.

1717
01:21:43,960 --> 01:21:47,479
Speaker 2: And there's still nothing coming out about She's still the

1718
01:21:47,560 --> 01:21:50,640
Speaker 2: chief technically, and Henny is still the interim chief. That

1719
01:21:50,680 --> 01:21:52,559
Speaker 2: doesn't look like it's changed anytime soon. I meant, how

1720
01:21:52,640 --> 01:21:54,599
Speaker 2: much longer do you have to investigate to find out

1721
01:21:54,640 --> 01:21:56,120
Speaker 2: why you fired her in the first place.

1722
01:21:58,439 --> 01:22:00,720
Speaker 1: It's funny. Trying to blame it in the chief of

1723
01:22:00,720 --> 01:22:04,799
Speaker 1: police for crime is like blaming McDonald's for somebody being obese.

1724
01:22:06,280 --> 01:22:09,040
Speaker 1: It's it's nonsense. You know, there's only so many things

1725
01:22:09,040 --> 01:22:10,760
Speaker 1: the police chief can do. There's only so much that

1726
01:22:10,800 --> 01:22:12,960
Speaker 1: the police can do here. We're one hundred and forty

1727
01:22:13,040 --> 01:22:15,040
Speaker 1: hundred and fifty officers short. Can't be everywhere. At the

1728
01:22:15,080 --> 01:22:17,600
Speaker 1: same time, you know, at some point there's going to

1729
01:22:17,680 --> 01:22:20,400
Speaker 1: have to be a culture shift within the city of

1730
01:22:20,400 --> 01:22:22,880
Speaker 1: Cincinnati to say, you know what, we're going to find

1731
01:22:22,920 --> 01:22:25,120
Speaker 1: a way to resolve our differences instead of picking up

1732
01:22:25,120 --> 01:22:29,120
Speaker 1: a gun because we're upset with somebody. And until that changes,

1733
01:22:29,800 --> 01:22:31,840
Speaker 1: you know, we're going to see kind of the same thing,

1734
01:22:31,880 --> 01:22:34,519
Speaker 1: and then until judges decide, you know what, if you're

1735
01:22:34,560 --> 01:22:36,559
Speaker 1: carrying a gun and you're committing a violent crime, you're

1736
01:22:36,560 --> 01:22:37,880
Speaker 1: going to go to prison and you're going to go

1737
01:22:37,960 --> 01:22:40,519
Speaker 1: there for a long time. Until those things change and

1738
01:22:40,600 --> 01:22:43,960
Speaker 1: it's actually publicized. Yeah, I'd love to see the headlines of,

1739
01:22:44,320 --> 01:22:48,320
Speaker 1: you know, the latest homicide suspect, you know is going

1740
01:22:48,360 --> 01:22:51,200
Speaker 1: to spend the next thirty years in prison for taking

1741
01:22:51,240 --> 01:22:55,200
Speaker 1: somebody's life. Now, that might actually get somebody's attention. But

1742
01:22:55,320 --> 01:22:57,960
Speaker 1: until then, all of these headlines of you know, four

1743
01:22:57,960 --> 01:23:01,320
Speaker 1: people shot here, two people shot here, it's almost become

1744
01:23:01,439 --> 01:23:04,840
Speaker 1: just like background noise. I think people are so desensitized

1745
01:23:05,280 --> 01:23:06,760
Speaker 1: to all they're like tall. They wake up and see

1746
01:23:06,760 --> 01:23:09,520
Speaker 1: there is oh, oh, big surprise, there's another shooting in Cincinnati,

1747
01:23:09,840 --> 01:23:14,400
Speaker 1: and somehow it's become acceptable. And until that changes, until

1748
01:23:14,439 --> 01:23:17,559
Speaker 1: that mindset changes of look, we actually value human life

1749
01:23:17,880 --> 01:23:20,599
Speaker 1: and we're not going to tolerate this nonsense. And it

1750
01:23:20,640 --> 01:23:23,200
Speaker 1: starts with elective officials, it starts with these judges. Until

1751
01:23:23,200 --> 01:23:25,840
Speaker 1: those things change, you're going to continue to see the

1752
01:23:25,960 --> 01:23:27,200
Speaker 1: same thing over and over.

1753
01:23:27,520 --> 01:23:31,479
Speaker 2: Well, relative to the Chief Fiji investigation, that she's still

1754
01:23:31,479 --> 01:23:34,080
Speaker 2: hanging and twisting in the wind because she is technically

1755
01:23:34,160 --> 01:23:36,400
Speaker 2: not fired, well not fired at all, because we've got

1756
01:23:36,439 --> 01:23:38,519
Speaker 2: to find an investigation as to why we fired in

1757
01:23:38,560 --> 01:23:41,640
Speaker 2: the first place. I think does that hamstring things for

1758
01:23:41,720 --> 01:23:44,519
Speaker 2: you in a sense that you know, we've got well,

1759
01:23:44,600 --> 01:23:46,280
Speaker 2: we've got to do more research to find out why

1760
01:23:46,320 --> 01:23:48,040
Speaker 2: we fired in the first place. That's not a good

1761
01:23:48,240 --> 01:23:49,840
Speaker 2: I don't think that sits well. And maybe they just

1762
01:23:49,840 --> 01:23:51,840
Speaker 2: hope we forget about it. But the other element of

1763
01:23:51,880 --> 01:23:55,400
Speaker 2: this is is Adam Henny, who through all in accounts

1764
01:23:55,439 --> 01:23:57,160
Speaker 2: that I here is a good guy. He just how

1765
01:23:57,240 --> 01:23:59,439
Speaker 2: much juice could he have if he's still the interim chief.

1766
01:24:00,400 --> 01:24:03,839
Speaker 1: You're absolutely correct, you know, it's it's doing a disservice

1767
01:24:03,880 --> 01:24:06,080
Speaker 1: to him. It's doing a disservice to all the other

1768
01:24:06,120 --> 01:24:08,360
Speaker 1: men and women that were in this uniform that we're

1769
01:24:08,360 --> 01:24:09,920
Speaker 1: all We're all just kind of in limbo right now.

1770
01:24:09,920 --> 01:24:12,000
Speaker 1: It's like, okay, well, you know, he's the interim chief,

1771
01:24:12,479 --> 01:24:15,719
Speaker 1: so there's some changes that he can make, but any

1772
01:24:15,800 --> 01:24:20,200
Speaker 1: any change of any real, real, uh substance isn't going

1773
01:24:20,280 --> 01:24:22,680
Speaker 1: to happen until we have a permanent chief. And I

1774
01:24:22,800 --> 01:24:24,679
Speaker 1: understand that, but we're just going to keep on dragging

1775
01:24:24,680 --> 01:24:26,800
Speaker 1: this along. You know, who knows what's going to happen

1776
01:24:26,840 --> 01:24:28,680
Speaker 1: at the end of this month, and then you know

1777
01:24:28,800 --> 01:24:31,240
Speaker 1: where do we go from there? Are they gonna are

1778
01:24:31,240 --> 01:24:32,559
Speaker 1: they going to bring her back or are they going

1779
01:24:32,640 --> 01:24:34,719
Speaker 1: to say, okay, well you know Adams now the chief

1780
01:24:34,840 --> 01:24:37,280
Speaker 1: who knows well. But this this just keeps on dragging.

1781
01:24:37,400 --> 01:24:40,000
Speaker 2: It's also not unlike the you know, the the what

1782
01:24:40,160 --> 01:24:42,959
Speaker 2: happened over the summer too, with the big fight downtown

1783
01:24:43,080 --> 01:24:45,559
Speaker 2: after the music festival, and like that case just simply

1784
01:24:45,600 --> 01:24:48,639
Speaker 2: no one's talking about. It's just simply evaporated. We're waiting

1785
01:24:48,680 --> 01:24:50,960
Speaker 2: for Yeah, the testament it came out from the prosecute

1786
01:24:50,960 --> 01:24:53,479
Speaker 2: off was like, well, it wasn't the racial beatdown that

1787
01:24:53,520 --> 01:24:56,240
Speaker 2: we thought it was. Actually the white guy was a victim.

1788
01:24:56,320 --> 01:24:58,639
Speaker 2: And ever since then, the people who have called for,

1789
01:24:58,920 --> 01:25:00,720
Speaker 2: you know, the heads of white peop people essentially we've

1790
01:25:00,720 --> 01:25:02,720
Speaker 2: got to prosecute this guy like everybody else turns out

1791
01:25:02,760 --> 01:25:04,760
Speaker 2: there now no one's talking about. It's just still like

1792
01:25:04,760 --> 01:25:06,680
Speaker 2: simply f I've never seen a case that big go

1793
01:25:06,760 --> 01:25:11,240
Speaker 2: away and literally in the corners of hush conversations around

1794
01:25:11,240 --> 01:25:13,040
Speaker 2: the city, that's all you hear. But no one's talking

1795
01:25:13,080 --> 01:25:15,440
Speaker 2: about that either it's I wouldn't call it a conspiracy

1796
01:25:15,479 --> 01:25:17,320
Speaker 2: or cover up because you can't do that. But I

1797
01:25:17,560 --> 01:25:21,080
Speaker 2: think the THEIJI case in this are remarkably similar is that, yeah,

1798
01:25:21,080 --> 01:25:24,040
Speaker 2: it doesn't fit the narrative and kind of made it

1799
01:25:24,040 --> 01:25:24,400
Speaker 2: go away.

1800
01:25:25,720 --> 01:25:27,360
Speaker 1: Well, sure, you know, they put they put the cart

1801
01:25:27,400 --> 01:25:29,519
Speaker 1: before the horse, and then all of a sudden, now

1802
01:25:29,520 --> 01:25:31,160
Speaker 1: they're trying to backtrack and figure out, Okay, what do

1803
01:25:31,160 --> 01:25:34,400
Speaker 1: we do now? We put ourselves in a bad, bad predicament,

1804
01:25:34,880 --> 01:25:36,160
Speaker 1: and what do we do now?

1805
01:25:36,320 --> 01:25:39,640
Speaker 2: Yeah? Yeah, Also with the cameras, right, we had to

1806
01:25:39,760 --> 01:25:42,200
Speaker 2: for the first shooting at the Laurel Playground a couple

1807
01:25:42,240 --> 01:25:44,400
Speaker 2: of years ago. Uh, the cry was, hey, we're gonna

1808
01:25:44,400 --> 01:25:46,160
Speaker 2: put cameras all over. Well we didn't do that, and

1809
01:25:46,200 --> 01:25:49,120
Speaker 2: another eleven year old died in New Year's Day and

1810
01:25:49,400 --> 01:25:52,440
Speaker 2: still there was no you know, it's confusing, it's contradictory.

1811
01:25:52,520 --> 01:25:54,960
Speaker 2: We're getting, you know, double speak, and I don't know

1812
01:25:54,960 --> 01:25:57,000
Speaker 2: are the cameras going out but I thought I saw

1813
01:25:57,040 --> 01:25:58,040
Speaker 2: they were, but I don't know.

1814
01:25:59,479 --> 01:26:04,640
Speaker 1: Yeah. Ironically enough, Chief Henny put together a group of

1815
01:26:05,000 --> 01:26:07,880
Speaker 1: police officers that this isn't really their job to be

1816
01:26:07,920 --> 01:26:10,960
Speaker 1: doing these things, but most of them have a really

1817
01:26:11,720 --> 01:26:14,719
Speaker 1: substantial it background and know how to do these things

1818
01:26:15,400 --> 01:26:18,559
Speaker 1: that they've actually taken from their assignments, put them in

1819
01:26:18,600 --> 01:26:22,879
Speaker 1: a group together and have been going out and installing cameras.

1820
01:26:23,479 --> 01:26:26,280
Speaker 1: This has typically not been the job of sworn officers,

1821
01:26:27,280 --> 01:26:30,000
Speaker 1: but they're they're making it work, and I know a

1822
01:26:30,000 --> 01:26:32,240
Speaker 1: lot of it has been done very quickly. They've worked

1823
01:26:32,240 --> 01:26:34,639
Speaker 1: a lot of hours to try to get all these

1824
01:26:34,680 --> 01:26:36,960
Speaker 1: cameras functioning and to take the new cameras that they

1825
01:26:37,000 --> 01:26:40,120
Speaker 1: have and get them up. But while that's being done,

1826
01:26:40,240 --> 01:26:43,720
Speaker 1: then their normal job is suffering, just because you know,

1827
01:26:43,760 --> 01:26:46,439
Speaker 1: they can't obviously can't be two places at the same time.

1828
01:26:46,560 --> 01:26:49,720
Speaker 1: So I mean, they're they're just trying to make make

1829
01:26:49,760 --> 01:26:51,800
Speaker 1: it work with what the resources that they have, which

1830
01:26:51,840 --> 01:26:54,000
Speaker 1: it is certainly admirable that they're getting it done.

1831
01:26:54,080 --> 01:26:56,240
Speaker 2: All right, Well, we'll leave it there. Way to shooting

1832
01:26:56,240 --> 01:26:59,200
Speaker 2: on Valentine's Day and a party bus, one dead, one wounded.

1833
01:26:59,280 --> 01:27:02,600
Speaker 2: Sunday morning, one north side gun play breaks out for

1834
01:27:02,800 --> 01:27:06,320
Speaker 2: a club, Bullets flying over the street. Some of the

1835
01:27:06,360 --> 01:27:09,720
Speaker 2: buildings themselves and storefronts are hit with you can just

1836
01:27:09,800 --> 01:27:14,360
Speaker 2: see the broken glass and the remains of the shooting itself.

1837
01:27:14,400 --> 01:27:17,599
Speaker 2: To what two people killed, two injured there, and then

1838
01:27:17,680 --> 01:27:20,160
Speaker 2: last night they found a body of a female dumped

1839
01:27:20,160 --> 01:27:23,479
Speaker 2: at Lynn and Poplar Street. So the bloody cold weather,

1840
01:27:23,520 --> 01:27:25,840
Speaker 2: it doesn't really make a lot of sense, but we're

1841
01:27:25,880 --> 01:27:28,000
Speaker 2: starting to see a spike in these violent crimes and

1842
01:27:28,080 --> 01:27:31,040
Speaker 2: murders despite the fact we've had an extremely cold struck.

1843
01:27:31,120 --> 01:27:32,880
Speaker 2: Normally it doesn't happen. It makes and I think it's

1844
01:27:32,880 --> 01:27:35,000
Speaker 2: fair to ask, well, crap, if it's this cold and

1845
01:27:35,000 --> 01:27:38,080
Speaker 2: the weather's is bad and there's still we're still seeing

1846
01:27:38,160 --> 01:27:41,040
Speaker 2: a rate of homicides increasing over the first two months

1847
01:27:41,040 --> 01:27:43,439
Speaker 2: of the year, that begs the question, well, what about

1848
01:27:43,479 --> 01:27:45,639
Speaker 2: when it gets warmer? Are we in for a bloody summer?

1849
01:27:45,640 --> 01:27:48,519
Speaker 2: We hope not, and hopefully we'll find a way through this.

1850
01:27:48,640 --> 01:27:51,080
Speaker 2: Ken Kober, president of the Queen City's Lodge the FOP,

1851
01:27:51,160 --> 01:27:53,200
Speaker 2: thanks again for jumping on this morning. Brother appreciates you

1852
01:27:53,240 --> 01:27:56,640
Speaker 2: be well, sure appreciate take care. We got to get

1853
01:27:56,640 --> 01:27:59,679
Speaker 2: a news update in the very latest with the weather situation.

1854
01:28:00,040 --> 01:28:01,680
Speaker 2: Warm it up now. It feels great outside, but we

1855
01:28:01,760 --> 01:28:03,320
Speaker 2: got a lot of fog again this morning. And of

1856
01:28:03,320 --> 01:28:06,559
Speaker 2: course the passing of Jesse Jackson making news today dead

1857
01:28:06,560 --> 01:28:08,400
Speaker 2: at the age of eighty four, Scott's Loan Show. This

1858
01:28:08,439 --> 01:28:11,320
Speaker 2: is seven hundred w time to talk.

1859
01:28:11,120 --> 01:28:13,920
Speaker 7: About money, how to make it, how to keep it,

1860
01:28:14,160 --> 01:28:21,080
Speaker 7: and how to keep others off your stash. This is

1861
01:28:21,160 --> 01:28:24,519
Speaker 7: all Worth Advice with Andy Schaeffer. Andy Shaffer's here on

1862
01:28:24,560 --> 01:28:25,840
Speaker 7: this Tuesday morning. Welcome buddy.

1863
01:28:25,880 --> 01:28:27,080
Speaker 6: How are you great, Scott?

1864
01:28:27,120 --> 01:28:27,360
Speaker 1: How are you?

1865
01:28:27,640 --> 01:28:29,920
Speaker 2: I'm doing fine. Let's talk a little cash money here.

1866
01:28:29,960 --> 01:28:31,680
Speaker 2: Earlier in the show ten oh seven, if you missed it,

1867
01:28:31,720 --> 01:28:34,479
Speaker 2: Greg Lastin's here again from the Buckeye Institute and he

1868
01:28:34,560 --> 01:28:38,120
Speaker 2: has been testifying a lot in front of the state legislature.

1869
01:28:38,880 --> 01:28:41,759
Speaker 2: We have another bill, I think the third as many

1870
01:28:42,040 --> 01:28:44,760
Speaker 2: bills that are out there to try and figure out

1871
01:28:44,800 --> 01:28:47,400
Speaker 2: what AI looks like in Ohio. Bottom line is we

1872
01:28:47,479 --> 01:28:51,559
Speaker 2: have data centers, we have AI, as I mentioned, electric vehicles,

1873
01:28:51,600 --> 01:28:54,880
Speaker 2: we have crypto heck, we have advanced manufacturing we've talked

1874
01:28:54,880 --> 01:28:57,920
Speaker 2: about which is the future of Ohio and getting and

1875
01:28:58,000 --> 01:29:00,720
Speaker 2: keeping jobs here. We're in the top in the US

1876
01:29:00,800 --> 01:29:02,720
Speaker 2: right now for data centers and we want to be

1877
01:29:02,800 --> 01:29:06,720
Speaker 2: number one. That also means the awkward dealing with communities,

1878
01:29:06,760 --> 01:29:08,360
Speaker 2: not that that's a bad thing. We should have a

1879
01:29:08,479 --> 01:29:11,639
Speaker 2: say in what's in our backyard. And there's concerns over

1880
01:29:11,680 --> 01:29:13,200
Speaker 2: how fast it's growing. We going to make sure we

1881
01:29:13,200 --> 01:29:14,800
Speaker 2: get it right because you only have one bite at

1882
01:29:14,800 --> 01:29:17,920
Speaker 2: the apple that in particular, but we also look at

1883
01:29:17,960 --> 01:29:20,200
Speaker 2: our energy bills and you go, holy crap. You know,

1884
01:29:20,240 --> 01:29:22,439
Speaker 2: the Duke bill comes in, You're like, good, what it's

1885
01:29:22,439 --> 01:29:24,479
Speaker 2: like a mortgage. It's like a card payment right now.

1886
01:29:24,640 --> 01:29:29,400
Speaker 2: And Greg said earlier data centers alone are projected to

1887
01:29:29,439 --> 01:29:32,360
Speaker 2: consume nearly ten percent of US electricity by twenty thirty.

1888
01:29:32,439 --> 01:29:34,840
Speaker 2: So we're seeing this growth and it's just it's got

1889
01:29:34,840 --> 01:29:37,280
Speaker 2: a hockey stick up. That means the price of energy

1890
01:29:37,320 --> 01:29:39,519
Speaker 2: for all of us are going up, and that's a

1891
01:29:39,640 --> 01:29:41,559
Speaker 2: major concern as we plan for our future.

1892
01:29:42,040 --> 01:29:44,080
Speaker 8: Yeah, and I think that it's important for us to

1893
01:29:44,200 --> 01:29:47,040
Speaker 8: understand what kind of infrastructure is going to be necessary.

1894
01:29:47,280 --> 01:29:49,799
Speaker 8: I know that data centers right now are a hot topic.

1895
01:29:49,960 --> 01:29:54,080
Speaker 8: They are necessary for moving forward and continuing to advance

1896
01:29:54,160 --> 01:29:56,600
Speaker 8: our own economy and our society. You know, with the

1897
01:29:57,200 --> 01:29:59,720
Speaker 8: emergence of AI, they're going to be particularly important. So

1898
01:29:59,760 --> 01:30:02,799
Speaker 8: I think, from you know, a point of view in Washington,

1899
01:30:03,040 --> 01:30:05,120
Speaker 8: you know, the most important thing is figuring out the

1900
01:30:05,160 --> 01:30:06,680
Speaker 8: best way to get out in front of this, to

1901
01:30:06,680 --> 01:30:08,800
Speaker 8: make sure that we do have energy that's available for

1902
01:30:08,840 --> 01:30:12,000
Speaker 8: everybody that's at a decent costs, so that we can

1903
01:30:12,040 --> 01:30:14,200
Speaker 8: all thrive. You know, AI in general is a hot

1904
01:30:14,240 --> 01:30:17,280
Speaker 8: topic right now. People are really concerned about, you know,

1905
01:30:17,280 --> 01:30:19,040
Speaker 8: what does it mean, What does it mean for my job?

1906
01:30:19,360 --> 01:30:20,920
Speaker 8: How is it going to be implemented? You know, what

1907
01:30:21,040 --> 01:30:23,639
Speaker 8: is the cost you know to supply this type of

1908
01:30:24,280 --> 01:30:26,400
Speaker 8: technology to everybody? And data centers are going to be

1909
01:30:26,439 --> 01:30:28,360
Speaker 8: a big part of that. You know, we did see

1910
01:30:28,439 --> 01:30:31,360
Speaker 8: last week that stocks, particularly tech, had a rough week.

1911
01:30:31,439 --> 01:30:33,839
Speaker 8: The S and P and Nasdaq both were down sharply,

1912
01:30:34,760 --> 01:30:36,439
Speaker 8: and a lot of it has to do to tech

1913
01:30:36,479 --> 01:30:39,479
Speaker 8: and AI warnings. You know, there's weak guidance, there's sector rotation.

1914
01:30:39,960 --> 01:30:41,519
Speaker 8: You know that hurt a lot of the sentiment. But

1915
01:30:41,880 --> 01:30:43,719
Speaker 8: you know, it's going to be interesting to see moving forward.

1916
01:30:43,840 --> 01:30:46,960
Speaker 8: You know, and from a social perspective, these data centers

1917
01:30:47,000 --> 01:30:49,000
Speaker 8: are enormous and I know that there is a little

1918
01:30:49,000 --> 01:30:51,880
Speaker 8: bit of pushback from different communities that don't want these

1919
01:30:51,920 --> 01:30:54,599
Speaker 8: around in their area, but we all need them and

1920
01:30:54,680 --> 01:30:56,600
Speaker 8: so hopefully we have a lot of smart people that

1921
01:30:56,640 --> 01:30:58,479
Speaker 8: are trying to figure out the solution to the problem.

1922
01:30:58,640 --> 01:31:03,519
Speaker 2: Yeah, from money standpoint here, I'm sure that people wanted

1923
01:31:03,560 --> 01:31:05,840
Speaker 2: to put their money and forward growing and you know,

1924
01:31:06,080 --> 01:31:08,160
Speaker 2: the boom and energy. We just don't know where to

1925
01:31:08,200 --> 01:31:10,200
Speaker 2: do it right. It's we want to find the next Tesla,

1926
01:31:10,240 --> 01:31:12,880
Speaker 2: we find the next Apple, and it seems to be

1927
01:31:12,920 --> 01:31:15,760
Speaker 2: in the generation, but in particular the transmission business.

1928
01:31:16,200 --> 01:31:18,240
Speaker 8: Yeah, and I think, you know, with the transmission business,

1929
01:31:18,240 --> 01:31:20,360
Speaker 8: that could be a big area as well. But fortunately,

1930
01:31:20,400 --> 01:31:23,639
Speaker 8: I think most people are probably invested in a lot

1931
01:31:23,680 --> 01:31:26,960
Speaker 8: of these different energy sectors and might not even realize it.

1932
01:31:27,200 --> 01:31:29,240
Speaker 8: If you have a pretty well diversified four one K,

1933
01:31:30,040 --> 01:31:31,960
Speaker 8: it's likely within a lot of those funds you have

1934
01:31:32,040 --> 01:31:37,799
Speaker 8: significant exposure to technology, infrastructure, energy, those types of things.

1935
01:31:38,240 --> 01:31:40,160
Speaker 8: You know, you probably look under the hood and see

1936
01:31:40,160 --> 01:31:42,679
Speaker 8: what you actually own, whether it's mutual funds or exchange

1937
01:31:42,720 --> 01:31:44,519
Speaker 8: rate of funds, and see where you're at. You know,

1938
01:31:44,560 --> 01:31:47,040
Speaker 8: to me, I think you know, the market is responding

1939
01:31:47,080 --> 01:31:50,880
Speaker 8: a lot to the uncertainty within technology. There was a

1940
01:31:51,560 --> 01:31:54,559
Speaker 8: post written by a tech entrepreneur, his name is Matt

1941
01:31:54,560 --> 01:31:57,679
Speaker 8: Schumer that went viral. It was titled something Big is Happening,

1942
01:31:58,120 --> 01:32:01,839
Speaker 8: and what that had to do with was his idea

1943
01:32:01,960 --> 01:32:04,800
Speaker 8: that AI is going to be the death of the

1944
01:32:04,840 --> 01:32:08,120
Speaker 8: American job particularly in the white collar industry, and it

1945
01:32:08,200 --> 01:32:11,680
Speaker 8: got over eighty million views. That had a little bit

1946
01:32:11,720 --> 01:32:14,679
Speaker 8: to do with the downturn in tech last week. Now,

1947
01:32:15,160 --> 01:32:18,719
Speaker 8: I don't think there is any objective information that suggests

1948
01:32:18,760 --> 01:32:22,559
Speaker 8: that that could actually happen. This was more antidotal than

1949
01:32:22,600 --> 01:32:25,240
Speaker 8: anything else, and more of an opinion. You know, when

1950
01:32:25,240 --> 01:32:28,160
Speaker 8: we look at these selloffs that we've had over the

1951
01:32:28,280 --> 01:32:30,479
Speaker 8: last year, and even over the last month, we had

1952
01:32:30,760 --> 01:32:33,439
Speaker 8: you know, you know, a downturn in April. We also

1953
01:32:33,520 --> 01:32:37,040
Speaker 8: had some uncertainty with Oracle, and some of these things

1954
01:32:37,080 --> 01:32:40,000
Speaker 8: have already continued to come back, and so I think

1955
01:32:40,040 --> 01:32:43,640
Speaker 8: we don't want to overreact and panic just because that

1956
01:32:43,680 --> 01:32:47,880
Speaker 8: we have opinion pieces where somebody is you know, overall

1957
01:32:48,120 --> 01:32:49,920
Speaker 8: you know, predicting doom and gloom.

1958
01:32:50,040 --> 01:32:52,120
Speaker 2: Yeah, okay, and so you see this, you go, we

1959
01:32:52,120 --> 01:32:54,240
Speaker 2: had a little setback with tech, you know, the S

1960
01:32:54,280 --> 01:32:56,880
Speaker 2: and p NASDAC both down sharply last week, and the

1961
01:32:56,960 --> 01:33:00,640
Speaker 2: question would be why, And it's all AI driven. So

1962
01:33:00,760 --> 01:33:03,760
Speaker 2: take me through. Maybe it's a case where people look

1963
01:33:03,800 --> 01:33:05,280
Speaker 2: at and go, Okay, this is all great and it's

1964
01:33:05,320 --> 01:33:07,639
Speaker 2: the future, but when can I make money when lets

1965
01:33:07,680 --> 01:33:08,840
Speaker 2: started making a profit here?

1966
01:33:09,160 --> 01:33:11,080
Speaker 6: Well, I think that people have.

1967
01:33:11,720 --> 01:33:13,280
Speaker 8: You know, when you look at your four to one

1968
01:33:13,360 --> 01:33:16,479
Speaker 8: K over the last three years, you know we've had

1969
01:33:16,600 --> 01:33:19,240
Speaker 8: tremendous returns from an S and P standpoint, Well, the

1970
01:33:19,320 --> 01:33:25,080
Speaker 8: driver of that growth has been AI, Nvidian, particular, Microsoft,

1971
01:33:25,439 --> 01:33:28,280
Speaker 8: a lot of these tech companies were the reason that

1972
01:33:28,320 --> 01:33:30,559
Speaker 8: we've had significant gains in the markets over the last

1973
01:33:30,560 --> 01:33:33,040
Speaker 8: three years. So you know, if you're invested, we've all

1974
01:33:33,080 --> 01:33:35,040
Speaker 8: been benefiting from it over the last three years. And

1975
01:33:35,120 --> 01:33:36,639
Speaker 8: as long as you stayed in the market, you've been

1976
01:33:36,720 --> 01:33:39,280
Speaker 8: reaping these benefits. So when we look at kind of

1977
01:33:39,280 --> 01:33:41,040
Speaker 8: the metrics of AI, you know, where do we go

1978
01:33:41,120 --> 01:33:44,240
Speaker 8: from here? Is it something that we think that the

1979
01:33:44,320 --> 01:33:47,520
Speaker 8: prices continue to rise and the companies continue to be profitable,

1980
01:33:47,640 --> 01:33:50,320
Speaker 8: or do we feel like, hey, this might take my job.

1981
01:33:50,520 --> 01:33:53,080
Speaker 8: There's even talks of you know, white collar jobs being

1982
01:33:53,120 --> 01:33:56,680
Speaker 8: taken because you can instantly access this information and it

1983
01:33:56,720 --> 01:33:59,280
Speaker 8: will just regurgitate, you know, whatever you need to know

1984
01:33:59,320 --> 01:34:01,439
Speaker 8: from a financial standpoint of things that you need to do.

1985
01:34:01,640 --> 01:34:01,880
Speaker 6: Well.

1986
01:34:02,320 --> 01:34:03,920
Speaker 8: You know, I push back on that a little bit.

1987
01:34:04,600 --> 01:34:06,880
Speaker 8: You know, there's a lot of skepticism around whether it's

1988
01:34:06,880 --> 01:34:10,200
Speaker 8: going to take white collar jobs or you know, in

1989
01:34:10,240 --> 01:34:12,040
Speaker 8: any of the industries. And the reason is is that

1990
01:34:12,080 --> 01:34:14,760
Speaker 8: we don't have any information that suggested that. Going back

1991
01:34:14,760 --> 01:34:16,880
Speaker 8: into two thousand when we had the internet boom, there

1992
01:34:16,960 --> 01:34:19,439
Speaker 8: was you know, a big fear there as well. And

1993
01:34:19,520 --> 01:34:21,919
Speaker 8: I think with a lot of these white collar businesses,

1994
01:34:21,920 --> 01:34:25,519
Speaker 8: which you don't take into account is the subjectivity of

1995
01:34:25,560 --> 01:34:27,680
Speaker 8: the work that they do, right. You know, I can

1996
01:34:27,720 --> 01:34:31,519
Speaker 8: certainly tell somebody the math into making good decisions from

1997
01:34:31,600 --> 01:34:34,400
Speaker 8: an investment standpoint, or whether it makes more sense to

1998
01:34:34,920 --> 01:34:37,240
Speaker 8: buy a car with cash or finance it, right, but

1999
01:34:37,640 --> 01:34:38,840
Speaker 8: there's subjectivity there.

2000
01:34:38,880 --> 01:34:40,840
Speaker 6: What makes you feel good? You know, how much money

2001
01:34:40,880 --> 01:34:41,320
Speaker 6: do you have?

2002
01:34:41,520 --> 01:34:43,680
Speaker 8: If you don't like to have that, even though the

2003
01:34:43,720 --> 01:34:46,000
Speaker 8: math says that you should probably finance it, maybe it

2004
01:34:46,000 --> 01:34:46,880
Speaker 8: does make sense for you.

2005
01:34:46,840 --> 01:34:47,840
Speaker 6: To pay it off with cash.

2006
01:34:48,040 --> 01:34:50,080
Speaker 8: So those are the types of things that AI is

2007
01:34:50,080 --> 01:34:53,200
Speaker 8: not able to generate. Is the emotional support and the

2008
01:34:53,240 --> 01:34:55,840
Speaker 8: subjective advice a lot of white collar people give to

2009
01:34:56,280 --> 01:34:57,200
Speaker 8: the everyday citizen.

2010
01:34:57,240 --> 01:34:59,360
Speaker 2: Hey, let's face it, we've heard this time and time

2011
01:34:59,400 --> 01:35:01,639
Speaker 2: and time again. With new technology, that's all my god,

2012
01:35:01,640 --> 01:35:02,960
Speaker 2: all these jobs are going to go away, and it

2013
01:35:03,320 --> 01:35:05,479
Speaker 2: just creates jobs that we haven't invented yet.

2014
01:35:05,600 --> 01:35:06,080
Speaker 6: That's right.

2015
01:35:06,280 --> 01:35:08,439
Speaker 8: Yeah, And you know, just like any industry. We've seen

2016
01:35:08,439 --> 01:35:10,559
Speaker 8: this in the Industrial Revolution with you know, when we

2017
01:35:10,600 --> 01:35:13,719
Speaker 8: started having you know a lot of mechanics that people

2018
01:35:13,760 --> 01:35:16,080
Speaker 8: thought were going to take their jobs and ultimately it

2019
01:35:16,200 --> 01:35:18,960
Speaker 8: just created other jobs. And I think from a consumer

2020
01:35:19,000 --> 01:35:23,080
Speaker 8: standpoint and from a citizen standpoint, most workers just need

2021
01:35:23,120 --> 01:35:25,439
Speaker 8: to be able to adapt now, and this isn't something

2022
01:35:25,479 --> 01:35:28,160
Speaker 8: that's going to happen overnight. You know, there's no data

2023
01:35:28,200 --> 01:35:30,599
Speaker 8: out there that suggests that we're going to have AI

2024
01:35:30,760 --> 01:35:32,600
Speaker 8: start to cut a lot of jobs. There's been a

2025
01:35:32,640 --> 01:35:37,800
Speaker 8: lot of surveys done with executives and major industries that say, yeah,

2026
01:35:37,800 --> 01:35:39,479
Speaker 8: and we might not be hiring a little bit more,

2027
01:35:39,520 --> 01:35:41,840
Speaker 8: but we're not really cutting jobs due to AI. You know,

2028
01:35:41,880 --> 01:35:45,720
Speaker 8: there might be two percent cuts broadly across you know,

2029
01:35:45,800 --> 01:35:48,680
Speaker 8: all different companies and sectors, but we don't see any

2030
01:35:48,760 --> 01:35:50,920
Speaker 8: data that would suggest that. So I think for the consumer,

2031
01:35:50,960 --> 01:35:54,280
Speaker 8: it's about hey, over the next ten fifteen years, I

2032
01:35:54,360 --> 01:35:57,000
Speaker 8: might have to adapt to learn new skills and be

2033
01:35:57,080 --> 01:35:59,720
Speaker 8: able to adjust, but I don't foresee this being the

2034
01:35:59,800 --> 01:36:00,639
Speaker 8: end of.

2035
01:36:01,080 --> 01:36:02,599
Speaker 6: Modern employment, right right.

2036
01:36:02,640 --> 01:36:05,800
Speaker 2: Andy Schaeffer from all Worth Financial simply money tonight at

2037
01:36:05,840 --> 01:36:08,800
Speaker 2: six and fifty five KRC just a little weekly tune

2038
01:36:08,880 --> 01:36:11,639
Speaker 2: up here from AI and the boom here in Ohio

2039
01:36:11,720 --> 01:36:14,360
Speaker 2: that we're seeing with building anyway that you'd read benefits.

2040
01:36:14,960 --> 01:36:18,519
Speaker 2: Let's get into the January inflation report, and we had

2041
01:36:18,640 --> 01:36:20,640
Speaker 2: kind of soft landing. Did we stick the landing to

2042
01:36:20,640 --> 01:36:21,920
Speaker 2: steal Olympic brains?

2043
01:36:22,360 --> 01:36:22,599
Speaker 1: Yeah?

2044
01:36:22,600 --> 01:36:23,920
Speaker 6: I mean we're getting there.

2045
01:36:24,000 --> 01:36:24,160
Speaker 5: You know.

2046
01:36:24,240 --> 01:36:28,439
Speaker 8: I wasn't very thrilled with Jerome Pou in the FED

2047
01:36:28,920 --> 01:36:30,840
Speaker 8: coming out of the pandemic. I thought we were a

2048
01:36:30,880 --> 01:36:33,559
Speaker 8: little bit too slow to start raising interest rates. And

2049
01:36:33,960 --> 01:36:36,200
Speaker 8: you know the effect of that was twenty twenty two

2050
01:36:36,280 --> 01:36:39,640
Speaker 8: was very hard for markets. Not only were stocks down significantly,

2051
01:36:39,680 --> 01:36:42,120
Speaker 8: but bonds were down too. So really the only thing

2052
01:36:42,160 --> 01:36:44,720
Speaker 8: that performed well in twenty two was cash. And so

2053
01:36:45,040 --> 01:36:47,200
Speaker 8: let's push that a little bit forward. You know, the

2054
01:36:47,240 --> 01:36:50,200
Speaker 8: soft landing that we've seen over the last year, year

2055
01:36:50,200 --> 01:36:53,000
Speaker 8: and a half, two years, I think has been very effective.

2056
01:36:53,080 --> 01:36:55,479
Speaker 8: We were in a delicate dance of, you know, how

2057
01:36:55,560 --> 01:36:58,320
Speaker 8: quickly do we start cutting rates? You know, if we

2058
01:36:58,360 --> 01:37:00,880
Speaker 8: cut too fast, that could reignite it inflation. We certainly

2059
01:37:00,920 --> 01:37:02,800
Speaker 8: didn't want to do that, but you know, we had

2060
01:37:02,880 --> 01:37:05,600
Speaker 8: annual inflation coming at two point four percent, you know,

2061
01:37:05,640 --> 01:37:08,200
Speaker 8: and that was better than what economists expected. And that's

2062
01:37:08,200 --> 01:37:10,800
Speaker 8: the smallest year of year rise and core prices since

2063
01:37:11,320 --> 01:37:14,640
Speaker 8: you know, we saw the surge in twenty twenty one. Furthermore,

2064
01:37:14,720 --> 01:37:16,519
Speaker 8: you know, we're going to get some housing data this week,

2065
01:37:16,560 --> 01:37:19,120
Speaker 8: and the housing data has been the stickiest part of

2066
01:37:19,120 --> 01:37:24,000
Speaker 8: inflation overall. And come Friday, I'm sorry, come tomorrow, Actually

2067
01:37:24,000 --> 01:37:26,000
Speaker 8: it's going to be Wednesday. You know, We're going to

2068
01:37:26,080 --> 01:37:27,240
Speaker 8: get a lot of that data and I'm going to

2069
01:37:27,240 --> 01:37:29,160
Speaker 8: be really curious to see what it shows, and it

2070
01:37:29,240 --> 01:37:31,479
Speaker 8: might suggest that inflation is still coming down.

2071
01:37:32,240 --> 01:37:34,960
Speaker 2: Okay, So what was the biggest cost in when you

2072
01:37:34,960 --> 01:37:37,240
Speaker 2: look at the consumer price indexed at that big increase,

2073
01:37:37,720 --> 01:37:40,320
Speaker 2: we saw that at one point two percent rise. What

2074
01:37:40,520 --> 01:37:41,000
Speaker 2: was driving that?

2075
01:37:41,760 --> 01:37:44,439
Speaker 8: Well, we had prices of used vehicles, beef and veal

2076
01:37:44,439 --> 01:37:47,000
Speaker 8: and eggs that showed you know, some of that as well.

2077
01:37:47,040 --> 01:37:48,800
Speaker 6: But really it's housing that's driving it.

2078
01:37:48,880 --> 01:37:53,200
Speaker 8: Not only building starts and permits, but also rents as well.

2079
01:37:53,640 --> 01:37:57,280
Speaker 8: And so hopefully this will give a lot of Americans

2080
01:37:57,320 --> 01:38:00,240
Speaker 8: a little bit of ease. I know that, you know,

2081
01:38:00,320 --> 01:38:04,320
Speaker 8: my wife worked in the rental business as far as

2082
01:38:04,360 --> 01:38:06,880
Speaker 8: property management, and it has been hard on a lot

2083
01:38:06,920 --> 01:38:08,920
Speaker 8: of people that are renting when they continue to see

2084
01:38:09,080 --> 01:38:12,519
Speaker 8: their cost increase, But the owners of these organizations, they're

2085
01:38:12,560 --> 01:38:15,519
Speaker 8: having their cost increase as well. So inflation coming down

2086
01:38:15,600 --> 01:38:18,120
Speaker 8: is not only going to benefit business owners, but it's

2087
01:38:18,120 --> 01:38:20,519
Speaker 8: going to benefit the common citizen as well.

2088
01:38:20,800 --> 01:38:23,160
Speaker 2: Did you say that one of the drivers outside of

2089
01:38:23,240 --> 01:38:25,759
Speaker 2: used vehicles? Now, what do you say eggs is veal?

2090
01:38:26,200 --> 01:38:27,679
Speaker 2: Who the hell is buying veal?

2091
01:38:28,080 --> 01:38:28,280
Speaker 1: Where?

2092
01:38:28,320 --> 01:38:28,800
Speaker 5: Well? You can?

2093
01:38:28,840 --> 01:38:30,720
Speaker 2: You can you even get you know, I'm Italian, I

2094
01:38:30,800 --> 01:38:32,040
Speaker 2: love veal. We can't find veal?

2095
01:38:32,520 --> 01:38:34,559
Speaker 6: Well, you can if you lay out in the country.

2096
01:38:34,760 --> 01:38:39,320
Speaker 6: I mean I have I have some farmers up the hill.

2097
01:38:39,160 --> 01:38:42,240
Speaker 2: Here and I have to get a veal connection from

2098
01:38:42,280 --> 01:38:45,800
Speaker 2: you are a man of many, many connections. He's he's

2099
01:38:45,800 --> 01:38:46,440
Speaker 2: a facilitic.

2100
01:38:46,600 --> 01:38:47,080
Speaker 6: I have a guy.

2101
01:38:47,280 --> 01:38:48,840
Speaker 2: You got, I got a guy. I got a veal guy.

2102
01:38:50,120 --> 01:38:52,720
Speaker 2: I saw this headline about social security. Now could run

2103
01:38:52,720 --> 01:38:55,679
Speaker 2: out about moneyance Now it was like ten and fifteen

2104
01:38:55,720 --> 01:38:57,840
Speaker 2: years Now are like like six minutes from now, we

2105
01:38:57,840 --> 01:38:58,799
Speaker 2: could run out of money.

2106
01:38:59,000 --> 01:39:02,040
Speaker 8: Yeah, when we start talking about this, probably seven or

2107
01:39:02,080 --> 01:39:05,439
Speaker 8: eight years ago that the date was about twenty thirty five.

2108
01:39:05,520 --> 01:39:08,160
Speaker 8: Well then it went to thirty four and then thirty three,

2109
01:39:08,200 --> 01:39:10,280
Speaker 8: and now you know we're kind of looking at maybe

2110
01:39:10,320 --> 01:39:13,080
Speaker 8: twenty thirty two, and I think people start to get

2111
01:39:13,120 --> 01:39:15,920
Speaker 8: really concerned about it. Now when we talk about Social

2112
01:39:15,920 --> 01:39:18,080
Speaker 8: Security running out of money, that doesn't mean there's not

2113
01:39:18,120 --> 01:39:19,960
Speaker 8: going to be money paid into it, obviously, but the

2114
01:39:20,040 --> 01:39:23,599
Speaker 8: endowment at that point will become depleted, and people say, well,

2115
01:39:23,600 --> 01:39:25,840
Speaker 8: what's going to happen to my benefit? I think there's

2116
01:39:25,880 --> 01:39:28,920
Speaker 8: going to be three major things that might happen. Number one,

2117
01:39:29,920 --> 01:39:33,320
Speaker 8: for retirement age will likely be increased, so that's one

2118
01:39:33,320 --> 01:39:34,880
Speaker 8: thing that the government can do. The other thing is

2119
01:39:34,880 --> 01:39:37,240
Speaker 8: that they will likely have some government workers begin to

2120
01:39:37,280 --> 01:39:40,439
Speaker 8: pay into Social Security. But I think the biggest threat

2121
01:39:40,960 --> 01:39:43,759
Speaker 8: to the average American would be what they call means testing.

2122
01:39:43,840 --> 01:39:46,479
Speaker 8: And what's going to happen is is that they'll probably

2123
01:39:46,520 --> 01:39:49,120
Speaker 8: if you have a certain amount of income, you might

2124
01:39:49,160 --> 01:39:52,040
Speaker 8: have a decrease in your overall so Security benefit. Now,

2125
01:39:52,520 --> 01:39:54,960
Speaker 8: I suspect that that will be a pretty high number.

2126
01:39:55,280 --> 01:39:57,640
Speaker 8: The history of Congress suggests that they will position it

2127
01:39:57,680 --> 01:39:59,680
Speaker 8: as a tax on the rich, like they did in

2128
01:39:59,760 --> 01:40:02,920
Speaker 8: Night ten eighty three with a fifty percent provisional tax

2129
01:40:02,960 --> 01:40:05,599
Speaker 8: on Social Security, and also in ninety three when they

2130
01:40:05,600 --> 01:40:08,719
Speaker 8: implemented the eighty five percent provisional tax on social security.

2131
01:40:08,760 --> 01:40:10,640
Speaker 8: So to me, I think it's going to be a

2132
01:40:10,680 --> 01:40:14,000
Speaker 8: number upwards of over two hundred thousand dollars where you

2133
01:40:14,080 --> 01:40:15,880
Speaker 8: might start to see a trigger of a decrease in

2134
01:40:15,920 --> 01:40:18,720
Speaker 8: social security. So if you're retired and you have a

2135
01:40:18,720 --> 01:40:21,240
Speaker 8: financial plan in place, and you have a number of

2136
01:40:21,280 --> 01:40:24,759
Speaker 8: different types of accounts and registrations with different pots of money,

2137
01:40:25,040 --> 01:40:27,880
Speaker 8: you can massage those distributions to make sure you stay

2138
01:40:27,960 --> 01:40:31,200
Speaker 8: underneath certain income limits, you know, depending on what we're

2139
01:40:31,200 --> 01:40:33,400
Speaker 8: going to see. So I think it's smart to prepare

2140
01:40:33,439 --> 01:40:37,400
Speaker 8: now for the inevitability that we'll probably see some types

2141
01:40:37,400 --> 01:40:37,920
Speaker 8: of mean tests.

2142
01:40:38,040 --> 01:40:41,920
Speaker 2: Wow, and at twenty percent reduction and benefits of lawmakers

2143
01:40:41,960 --> 01:40:45,160
Speaker 2: don't step in. They're not stupid enough to let down, right.

2144
01:40:45,320 --> 01:40:47,479
Speaker 8: No, I don't think so, because you know, especially with

2145
01:40:47,560 --> 01:40:51,800
Speaker 8: the social security conversation. Yeah, that's a that's a nail

2146
01:40:51,840 --> 01:40:54,120
Speaker 8: on the coffin for politicians. They don't want to touch it.

2147
01:40:54,160 --> 01:40:57,760
Speaker 8: I remember when George W. Bush years ago suggested that, hey,

2148
01:40:57,760 --> 01:40:59,960
Speaker 8: we probably need to tackle social security.

2149
01:41:00,040 --> 01:41:01,320
Speaker 6: Well he got crushed, but he.

2150
01:41:01,320 --> 01:41:03,920
Speaker 8: Did, and he didn't speak a word of it after that,

2151
01:41:04,000 --> 01:41:06,439
Speaker 8: and since then, no politician has really touched it. And

2152
01:41:06,439 --> 01:41:08,599
Speaker 8: I don't suspect that we will touch it in probably

2153
01:41:08,680 --> 01:41:11,680
Speaker 8: till the eleventh hour because nobody really wants to address it.

2154
01:41:11,840 --> 01:41:12,040
Speaker 1: Yeah.

2155
01:41:12,080 --> 01:41:13,439
Speaker 2: Well, I mean you can't even get them to show

2156
01:41:13,520 --> 01:41:15,040
Speaker 2: up to do their jobs for crying out low. They

2157
01:41:15,120 --> 01:41:17,320
Speaker 2: keep shutting it down. And then they've got another vacation

2158
01:41:17,439 --> 01:41:19,800
Speaker 2: built in. So what's the rush here? In six years

2159
01:41:19,800 --> 01:41:22,040
Speaker 2: we've got you know, that's two more election cycles for

2160
01:41:22,080 --> 01:41:23,280
Speaker 2: crying Well, well, a lot.

2161
01:41:23,200 --> 01:41:25,040
Speaker 8: Of them figure they're probably not going to be there anyway,

2162
01:41:25,080 --> 01:41:26,320
Speaker 8: so it's not their problem, you know.

2163
01:41:26,400 --> 01:41:28,160
Speaker 2: But I mean, if you're elected to the Senate today,

2164
01:41:28,240 --> 01:41:30,760
Speaker 2: six years from now, your terms up, I means that's

2165
01:41:31,000 --> 01:41:32,439
Speaker 2: the issues right here, right now.

2166
01:41:32,800 --> 01:41:34,400
Speaker 8: Yeah yeah, and if you want to get re elected,

2167
01:41:34,439 --> 01:41:36,280
Speaker 8: it's going to have to be addressed. And again I think,

2168
01:41:36,720 --> 01:41:38,640
Speaker 8: you know, Congress has shown that the way that they

2169
01:41:38,680 --> 01:41:40,439
Speaker 8: position this stuff is a tax on the rich, and

2170
01:41:40,439 --> 01:41:43,000
Speaker 8: most Americans usually go for it. And there are solutions,

2171
01:41:43,520 --> 01:41:45,040
Speaker 8: but we'll see, you know, the kind of the action

2172
01:41:45,120 --> 01:41:45,680
Speaker 8: that they do take.

2173
01:41:45,720 --> 01:41:47,800
Speaker 2: Gotcha hey real quick here, I know we always take Hey, well,

2174
01:41:47,840 --> 01:41:49,280
Speaker 2: what's what's coming up in the next week. I think

2175
01:41:49,280 --> 01:41:51,120
Speaker 2: the big thing is whether or not the Supreme Courts

2176
01:41:51,160 --> 01:41:52,360
Speaker 2: can rule on tariffs.

2177
01:41:53,160 --> 01:41:55,400
Speaker 6: Yeah, that's coming up February twentieth.

2178
01:41:55,960 --> 01:41:59,040
Speaker 8: You know, the FED members are going to basically testify

2179
01:41:59,080 --> 01:42:02,519
Speaker 8: and give their opinions to the judicial branch and basically say, hey,

2180
01:42:02,520 --> 01:42:04,280
Speaker 8: here's what we think. And it will be interesting to

2181
01:42:04,320 --> 01:42:07,360
Speaker 8: see because you know, if we have to unwind this,

2182
01:42:07,520 --> 01:42:10,160
Speaker 8: I don't understand how it's going to be all unwine.

2183
01:42:10,439 --> 01:42:12,200
Speaker 8: Do we give them money back? You know, how is

2184
01:42:12,200 --> 01:42:14,760
Speaker 8: that going to affect the economy. I don't think that

2185
01:42:15,240 --> 01:42:17,519
Speaker 8: tariffs are going to be rescinded or they they are

2186
01:42:17,560 --> 01:42:20,080
Speaker 8: going to consider it unlawful, and I think most Americans

2187
01:42:20,120 --> 01:42:22,639
Speaker 8: don't believe that's going to happen either. Otherwise we would

2188
01:42:22,640 --> 01:42:25,840
Speaker 8: probably see the markets already respond in a less favorable way,

2189
01:42:25,920 --> 01:42:27,280
Speaker 8: and I just haven't seen that yet.

2190
01:42:27,360 --> 01:42:30,519
Speaker 2: Okay, Good Andy Shaffer all Worth Financial Simply Money is

2191
01:42:30,520 --> 01:42:32,960
Speaker 2: the show and airs week nights at six. I'm fifty

2192
01:42:33,000 --> 01:42:35,760
Speaker 2: five k RC for the full version of that. This

2193
01:42:35,880 --> 01:42:37,720
Speaker 2: is kind of the abbreviated version, but you get a

2194
01:42:37,720 --> 01:42:40,639
Speaker 2: snapshot of your money as we head into this week

2195
01:42:40,680 --> 01:42:42,920
Speaker 2: as well. So Andy, all the beast. We'll talk again

2196
01:42:43,080 --> 01:42:45,600
Speaker 2: next Tuesday. Appreciate you, thanks again, Okay, Scott, thank you

2197
01:42:45,640 --> 01:42:47,240
Speaker 2: all right. With that, we've got news on the way

2198
01:42:47,240 --> 01:42:49,400
Speaker 2: in just minutes. The Bill Cunningham Show at twelve oh

2199
01:42:49,439 --> 01:42:51,679
Speaker 2: seven this morning here on the Home of the Red

2200
01:42:51,720 --> 01:42:53,320
Speaker 2: seven hundred WWT, Cincinnati,