1 00:00:00,520 --> 00:00:01,920 Speaker 1: Caf I Am six or forty. 2 00:00:01,960 --> 00:00:04,200 Speaker 2: You're listening to the John and Ken Show on demand 3 00:00:04,240 --> 00:00:05,480 Speaker 2: on the iHeartRadio app. 4 00:00:06,080 --> 00:00:08,039 Speaker 3: It's Jane Wells filling in for John and Ken. The 5 00:00:08,080 --> 00:00:09,600 Speaker 3: boys will be back tomorrow, at least one of them. 6 00:00:09,640 --> 00:00:11,160 Speaker 3: I'm not sure if they're both here. But they dragged 7 00:00:11,200 --> 00:00:13,040 Speaker 3: me out of the closet today and you'll have me 8 00:00:13,240 --> 00:00:13,560 Speaker 3: for the. 9 00:00:13,520 --> 00:00:14,280 Speaker 1: Next three hours. 10 00:00:14,320 --> 00:00:17,959 Speaker 3: And I like to cover everything, usually from a financial perspective, 11 00:00:18,000 --> 00:00:21,840 Speaker 3: because every story is a money story. And we will 12 00:00:21,880 --> 00:00:26,360 Speaker 3: talk today about the Irs Gone Wild, jat GPT and 13 00:00:26,400 --> 00:00:29,400 Speaker 3: your jobs, investment scams and what it's like being a 14 00:00:29,440 --> 00:00:31,200 Speaker 3: writer in this town when you haven't been able to 15 00:00:31,200 --> 00:00:35,080 Speaker 3: collect a paycheck for over six weeks. But with me 16 00:00:35,200 --> 00:00:38,239 Speaker 3: right now is Steve Gregory, because this is also a 17 00:00:38,280 --> 00:00:42,680 Speaker 3: money story. I can't believe it was only January when 18 00:00:42,720 --> 00:00:44,720 Speaker 3: this Monterey Park massacre happened. 19 00:00:44,720 --> 00:00:47,040 Speaker 1: I feel like it was I don't know, twenty twenty one. 20 00:00:47,080 --> 00:00:48,360 Speaker 1: It seems like a lifetime ago. 21 00:00:48,520 --> 00:00:48,720 Speaker 4: I know. 22 00:00:49,080 --> 00:00:51,640 Speaker 2: I think it's just because it was so devastating, and 23 00:00:51,720 --> 00:00:53,320 Speaker 2: I think people are just trying to forget about it. 24 00:00:53,320 --> 00:00:58,080 Speaker 2: But then last week the Small Business Administration, their LA office, 25 00:00:58,800 --> 00:01:01,920 Speaker 2: had a press conference a lot, along with Democratic Congresswoman 26 00:01:02,320 --> 00:01:05,480 Speaker 2: Judy Chu announcing that there was a bunch of funding 27 00:01:05,520 --> 00:01:09,679 Speaker 2: available for small businesses and nonprofits in Monterey Park impacted 28 00:01:09,680 --> 00:01:10,400 Speaker 2: by that shooting. 29 00:01:10,520 --> 00:01:14,400 Speaker 3: How all right, First of all, how unusual it is 30 00:01:15,120 --> 00:01:18,880 Speaker 3: for a horrific event like that to get Small Business 31 00:01:18,920 --> 00:01:20,040 Speaker 3: Administration aid? 32 00:01:20,120 --> 00:01:23,479 Speaker 2: That seems yeah, because typically the money is always available 33 00:01:23,520 --> 00:01:27,840 Speaker 2: after a disaster, natural disaster. But Judy Chu has been 34 00:01:27,880 --> 00:01:31,399 Speaker 2: working with a Biden administration apparently getting approval for the 35 00:01:31,480 --> 00:01:33,920 Speaker 2: SBA to free up some money. Now, what's unique about 36 00:01:33,920 --> 00:01:37,440 Speaker 2: this is the money. In typical SBA loans, you go 37 00:01:37,480 --> 00:01:40,360 Speaker 2: through a third party, usually another bank, and you apply 38 00:01:40,480 --> 00:01:43,280 Speaker 2: for it and then the SBA backs the loan. In 39 00:01:43,280 --> 00:01:46,960 Speaker 2: this particular case, the money's coming directly from the federal government. 40 00:01:47,400 --> 00:01:50,240 Speaker 2: They're bypassing the third party to expedite the funding in 41 00:01:50,280 --> 00:01:52,360 Speaker 2: these low interest, long term loans. 42 00:01:52,120 --> 00:01:54,080 Speaker 3: So it's coming right out of treasury or whatever, the 43 00:01:54,160 --> 00:01:58,360 Speaker 3: SBA directly. Who was impacted by this other than the 44 00:01:58,480 --> 00:01:59,760 Speaker 3: dance halls, I don't understand. 45 00:01:59,800 --> 00:02:01,320 Speaker 2: Yeah, you know a lot of people have asked that, 46 00:02:01,560 --> 00:02:04,280 Speaker 2: and I asked it myself because I was trying to 47 00:02:04,280 --> 00:02:06,480 Speaker 2: wrap my head around it. But remember that was the 48 00:02:06,600 --> 00:02:09,799 Speaker 2: Lunar Day festival that weekend that it happened. Because the 49 00:02:09,800 --> 00:02:12,280 Speaker 2: shooting happened on a Sunday, the festival started on that 50 00:02:12,520 --> 00:02:14,679 Speaker 2: weekend and it was supposed to go on for a 51 00:02:14,720 --> 00:02:17,120 Speaker 2: few days. A lot of vendors they had to shut 52 00:02:17,120 --> 00:02:20,240 Speaker 2: the festival down, so a lot of vendors count on 53 00:02:20,320 --> 00:02:22,720 Speaker 2: that as their primary source of revenue for that year 54 00:02:22,840 --> 00:02:24,720 Speaker 2: or at least for that quarter. So a lot of 55 00:02:24,720 --> 00:02:28,360 Speaker 2: these vendors were impacted. Businesses, brick and mortar businesses were impacted, 56 00:02:29,160 --> 00:02:31,920 Speaker 2: and people there was no foot traffic after the shooting. 57 00:02:32,000 --> 00:02:35,560 Speaker 2: People that owned businesses down down in that main street 58 00:02:35,560 --> 00:02:39,919 Speaker 2: area at Garvey Area. No one was coming to the restaurants, 59 00:02:39,960 --> 00:02:42,600 Speaker 2: the retail shops, and they said foot traffic went down 60 00:02:42,800 --> 00:02:44,760 Speaker 2: significantly by seventy percent. 61 00:02:44,880 --> 00:02:47,920 Speaker 1: Sales went down during the biggest week of the year. 62 00:02:48,000 --> 00:02:51,000 Speaker 2: Right after because they canceled it immediately for the remainder 63 00:02:51,040 --> 00:02:54,280 Speaker 2: of the week after that Sunday and or after that 64 00:02:54,320 --> 00:02:57,320 Speaker 2: Saturday night into Sunday morning, so the Sunday's festivities, which 65 00:02:57,360 --> 00:03:00,640 Speaker 2: was the number one day that had been canceled, and 66 00:03:00,680 --> 00:03:03,080 Speaker 2: then in the subsequent days after What kind. 67 00:03:03,040 --> 00:03:04,640 Speaker 1: Of money can these people get. 68 00:03:04,880 --> 00:03:08,840 Speaker 2: Well by law or by and I shouldn't say by law, 69 00:03:08,840 --> 00:03:12,160 Speaker 2: by by policy, you can get up to two million dollars. 70 00:03:12,639 --> 00:03:15,600 Speaker 2: But if you qualify, if you happen to be an 71 00:03:15,600 --> 00:03:18,080 Speaker 2: employer of multiple people and you have a huge impact 72 00:03:18,120 --> 00:03:20,560 Speaker 2: or a huge footprint, the SBA can waive that two 73 00:03:20,600 --> 00:03:22,840 Speaker 2: million dollars limit. However, we're talking about a bunch of 74 00:03:22,880 --> 00:03:25,320 Speaker 2: small businesses here. Yeah, and we're not talking about necessarily 75 00:03:25,360 --> 00:03:28,800 Speaker 2: all businesses from Monterey Park because there were some vendors 76 00:03:28,800 --> 00:03:31,600 Speaker 2: that were from Long Beach and other places around the 77 00:03:31,639 --> 00:03:34,280 Speaker 2: Southland that were also impacted. You know, they came up 78 00:03:34,480 --> 00:03:37,080 Speaker 2: like their whole family might have a food booth or 79 00:03:37,080 --> 00:03:39,000 Speaker 2: something or merchandise booth and they had to pay for 80 00:03:39,040 --> 00:03:41,360 Speaker 2: the booth rental, they had to pay for the insurance, 81 00:03:41,360 --> 00:03:43,480 Speaker 2: they had to pay for the supplies and the product 82 00:03:43,520 --> 00:03:45,400 Speaker 2: and everything, and then it was all wasted. 83 00:03:45,760 --> 00:03:47,440 Speaker 3: So are they able to get it now or what 84 00:03:47,520 --> 00:03:49,520 Speaker 3: is the current estate? How much money's they have been 85 00:03:49,560 --> 00:03:50,360 Speaker 3: dolls out so far? 86 00:03:50,440 --> 00:03:54,119 Speaker 2: Taxpayer money as a Friday And you know, the SPA 87 00:03:54,160 --> 00:03:56,440 Speaker 2: has been really good about keeping us updated. So the 88 00:03:56,480 --> 00:03:58,320 Speaker 2: program was just announced a little over a week or 89 00:03:58,320 --> 00:04:01,840 Speaker 2: so ago, and already they've had forty seven applicants and 90 00:04:01,920 --> 00:04:03,920 Speaker 2: they're working on all the applications and so far to 91 00:04:04,040 --> 00:04:06,360 Speaker 2: have been approved and the others are still pending. But 92 00:04:06,360 --> 00:04:09,040 Speaker 2: at least two have been approved totally between the two 93 00:04:09,160 --> 00:04:11,440 Speaker 2: five hundred thousand. 94 00:04:11,080 --> 00:04:13,760 Speaker 1: Dollars, so half million dollars already. Yeah, between the two 95 00:04:14,280 --> 00:04:16,200 Speaker 1: two and there's forty seven so far. 96 00:04:16,160 --> 00:04:18,840 Speaker 2: Forty seven and we'll know the disposition to those as 97 00:04:18,839 --> 00:04:22,200 Speaker 2: it goes on. The mayor protam at the at the 98 00:04:22,240 --> 00:04:25,440 Speaker 2: time actually the time of the press conference said that 99 00:04:25,600 --> 00:04:28,039 Speaker 2: he estimated there were about sixty five businesses in total 100 00:04:28,080 --> 00:04:28,920 Speaker 2: that were impacted. 101 00:04:30,120 --> 00:04:32,960 Speaker 3: So just assuming each business is going to average two 102 00:04:33,040 --> 00:04:37,560 Speaker 3: hundred and fifty thousand, you know, you're talking fifteen million, 103 00:04:37,680 --> 00:04:39,919 Speaker 3: which is you know, and the scheme of things are 104 00:04:40,000 --> 00:04:42,039 Speaker 3: dropping the bucket. But as a taxpayer putting on my 105 00:04:42,120 --> 00:04:46,000 Speaker 3: taxpayer hat, I think something to watch for is if 106 00:04:46,040 --> 00:04:51,919 Speaker 3: the SBA is now going to be a lender or 107 00:04:52,000 --> 00:04:57,320 Speaker 3: provider for man made disasters, for mass shootings, which we 108 00:04:57,400 --> 00:04:58,520 Speaker 3: have I don't know how many. 109 00:04:58,400 --> 00:04:59,239 Speaker 1: Of we had today. 110 00:04:59,400 --> 00:05:02,800 Speaker 3: Yeah, I mean this is a new This isn't a 111 00:05:02,880 --> 00:05:07,119 Speaker 3: hurricane or an earthquake. This is a Is there any 112 00:05:07,240 --> 00:05:09,479 Speaker 3: talk or have they been asked yet? 113 00:05:10,560 --> 00:05:10,760 Speaker 1: Well? 114 00:05:10,839 --> 00:05:13,520 Speaker 3: She doesn't this open up the floodgates for people in 115 00:05:13,560 --> 00:05:15,400 Speaker 3: Texas and Florida and everywhere, right. 116 00:05:15,279 --> 00:05:18,640 Speaker 2: And apparently this was the second time they've done this. 117 00:05:18,720 --> 00:05:22,880 Speaker 2: There was another mass shooting incident back east and Congresswoman 118 00:05:23,000 --> 00:05:26,120 Speaker 2: she couldn't remember the incident, but that was that was 119 00:05:26,160 --> 00:05:29,640 Speaker 2: sort of the test market if you will to do this, 120 00:05:30,360 --> 00:05:34,080 Speaker 2: and they found out that it was very helpful because again, 121 00:05:34,160 --> 00:05:36,960 Speaker 2: there were businesses or you know, other entities that were impacted. 122 00:05:37,200 --> 00:05:39,880 Speaker 2: And we always think about the victims themselves, or you know, 123 00:05:39,920 --> 00:05:42,599 Speaker 2: the loved ones of those killed or injured, but we 124 00:05:42,640 --> 00:05:46,039 Speaker 2: don't think about the well, the economic impact of the 125 00:05:46,040 --> 00:05:49,360 Speaker 2: collateral damage beyond that. And that's why she said it 126 00:05:49,400 --> 00:05:51,560 Speaker 2: was really important for her and some of her other 127 00:05:52,000 --> 00:05:54,400 Speaker 2: colleagues to push this through. Well, I mean, she's doing 128 00:05:54,440 --> 00:05:54,880 Speaker 2: her job. 129 00:05:55,000 --> 00:05:57,960 Speaker 3: Her job is to protect her people, and so congratulations 130 00:05:57,960 --> 00:06:00,280 Speaker 3: to her for that. As a taxpayer, I'm wondering, at 131 00:06:00,279 --> 00:06:03,400 Speaker 3: a time when we're running these huge deficits, you know, 132 00:06:03,480 --> 00:06:05,720 Speaker 3: how much can we afford to then open up the 133 00:06:05,800 --> 00:06:08,440 Speaker 3: SBA to do all the to service all these other. 134 00:06:09,960 --> 00:06:10,760 Speaker 1: Backdrops. 135 00:06:11,200 --> 00:06:14,279 Speaker 3: And was there no other aid in the state or 136 00:06:14,279 --> 00:06:16,200 Speaker 3: somewhere else these people could have gone to that they 137 00:06:16,200 --> 00:06:17,560 Speaker 3: had to go to the SBA, or was it just 138 00:06:17,680 --> 00:06:19,960 Speaker 3: her being really really clever and figuring out, hey, why 139 00:06:19,960 --> 00:06:20,680 Speaker 3: don't we try this. 140 00:06:21,040 --> 00:06:22,800 Speaker 2: I think it's a combination of all of that, because 141 00:06:22,839 --> 00:06:24,800 Speaker 2: I know the state was involved in this, and they've 142 00:06:24,839 --> 00:06:29,560 Speaker 2: got a bunch of other programs, nonprofit programs and NGOs 143 00:06:29,600 --> 00:06:31,960 Speaker 2: that are helping in this effort as well. So in 144 00:06:31,960 --> 00:06:35,000 Speaker 2: addition to maybe getting some funding, and if they don't 145 00:06:35,040 --> 00:06:37,760 Speaker 2: get their funding, they'll still get some help with like marketing, 146 00:06:37,839 --> 00:06:41,000 Speaker 2: and they'll still get some help on organizing and trying 147 00:06:41,000 --> 00:06:43,440 Speaker 2: to get back on their feet, and for some reason 148 00:06:43,440 --> 00:06:45,560 Speaker 2: they don't qualify for the funding. And because I asked 149 00:06:45,600 --> 00:06:48,400 Speaker 2: the question, I said, being a federal entity, you know, 150 00:06:49,240 --> 00:06:51,600 Speaker 2: are these people who can get their money now or. 151 00:06:51,560 --> 00:06:52,160 Speaker 1: In ten years? 152 00:06:52,200 --> 00:06:54,400 Speaker 2: Yeah, yeah, you know, And she said, no, that's why 153 00:06:54,400 --> 00:06:56,040 Speaker 2: the money's coming directly from the SBA. 154 00:06:56,520 --> 00:06:58,000 Speaker 1: We're expediting the process. 155 00:06:58,080 --> 00:07:00,240 Speaker 2: But there's still criteria, you know, these stuff meet some 156 00:07:00,320 --> 00:07:03,000 Speaker 2: certain criterion in order to get the funding. But they 157 00:07:03,040 --> 00:07:05,480 Speaker 2: were focused on the fact that like a nonprofit, if 158 00:07:05,480 --> 00:07:07,279 Speaker 2: you had a nonprofit that was out there that day 159 00:07:07,320 --> 00:07:09,279 Speaker 2: and all of a sudden it was going to do 160 00:07:09,320 --> 00:07:12,080 Speaker 2: some fundraising and they couldn't do fundraising. The nonprofit has 161 00:07:12,200 --> 00:07:15,360 Speaker 2: zero interest payback up to thirty years for the first year. 162 00:07:15,440 --> 00:07:18,040 Speaker 1: Wait a minute, wait, wait just the first year. Wait. 163 00:07:18,600 --> 00:07:21,200 Speaker 3: If you're a nonprofit who was out there fundraising but 164 00:07:21,240 --> 00:07:24,160 Speaker 3: you were not allowed, you couldn't raise any money, you 165 00:07:24,200 --> 00:07:27,080 Speaker 3: can still you have some sort of relief. 166 00:07:27,200 --> 00:07:30,520 Speaker 1: You can get for what expenses you paid, not for 167 00:07:30,560 --> 00:07:31,560 Speaker 1: the money you didn't raise. 168 00:07:31,800 --> 00:07:34,600 Speaker 3: They're not filling your coffers with money that you weren't 169 00:07:34,600 --> 00:07:35,320 Speaker 3: able to raise. 170 00:07:35,560 --> 00:07:39,080 Speaker 2: But again they have to provide at least and pitch 171 00:07:39,160 --> 00:07:41,800 Speaker 2: their case. Yeah, figuring it out out. But they were 172 00:07:41,840 --> 00:07:45,000 Speaker 2: talking about the fact that nonprofits have the first year 173 00:07:45,040 --> 00:07:47,320 Speaker 2: of their repayment is interest free. 174 00:07:47,480 --> 00:07:50,360 Speaker 3: You know, nonprofits is where all the money is. Of course, 175 00:07:50,400 --> 00:07:51,280 Speaker 3: I'm just telling you right now. 176 00:07:51,320 --> 00:07:53,640 Speaker 1: Yeah, all right, Steve Gregory, thank you for stopping by. 177 00:07:53,680 --> 00:07:55,000 Speaker 3: I know you have to go run off and do 178 00:07:55,240 --> 00:07:57,080 Speaker 3: your Steve Gregory can't find news bit. 179 00:07:57,200 --> 00:07:57,520 Speaker 1: Thanks. 180 00:07:57,720 --> 00:08:00,520 Speaker 3: Oh it's a pleasure, all right, when we come back. 181 00:08:00,560 --> 00:08:03,520 Speaker 3: I've mentioned it before. The IRS is run them up. 182 00:08:03,600 --> 00:08:06,960 Speaker 3: We will discuss that. And also California is the number 183 00:08:07,000 --> 00:08:11,320 Speaker 3: one state shocker and everything including investment fraud. Jane Will's 184 00:08:11,360 --> 00:08:13,880 Speaker 3: filling in for John and kN Kofi AM six forty. 185 00:08:14,800 --> 00:08:18,120 Speaker 4: You're listening to John and Ken on demand from KFI 186 00:08:18,360 --> 00:08:19,280 Speaker 4: AM six forty. 187 00:08:19,720 --> 00:08:23,720 Speaker 3: Trailer for Flaming Hot on Hulu Disney Place. 188 00:08:23,760 --> 00:08:25,960 Speaker 1: Deborah, Have you watched it? No, but it's on my list. 189 00:08:26,480 --> 00:08:28,160 Speaker 1: Have you watched Air about Areas? 190 00:08:28,240 --> 00:08:28,400 Speaker 5: Yes? 191 00:08:28,480 --> 00:08:30,920 Speaker 3: I love I loved it too. I loved it. I 192 00:08:31,000 --> 00:08:33,520 Speaker 3: thought Ben Affleck was so great. I mean Matt Damon 193 00:08:33,559 --> 00:08:35,600 Speaker 3: of course, when he's not selling Crypto dot com, he 194 00:08:35,679 --> 00:08:39,400 Speaker 3: does a great job. The Viola Davis or viol Viola 195 00:08:39,480 --> 00:08:43,760 Speaker 3: Davis amazing. Now that movie is a movie and it's 196 00:08:43,760 --> 00:08:47,920 Speaker 3: not one hundred percent accurate, and apparently Flaming Hot is almost, like, 197 00:08:48,000 --> 00:08:51,960 Speaker 3: I don't know, maybe twenty percent accurate. Really, Yeah, there 198 00:08:52,240 --> 00:08:55,880 Speaker 3: the truth, the quote unquote truth about the basis of 199 00:08:55,920 --> 00:08:59,920 Speaker 3: Flaming Hot and the Cheetos is maybe not all due 200 00:09:00,280 --> 00:09:05,600 Speaker 3: to you know, Richard Montaignez, who has claimed it, written 201 00:09:05,600 --> 00:09:07,679 Speaker 3: books and done a whole lecture career based on it. 202 00:09:08,840 --> 00:09:13,920 Speaker 3: But he met Freedo Ley PepsiCo is trying to be 203 00:09:14,040 --> 00:09:17,320 Speaker 3: nice and saying, hey, he was maybe part of it, 204 00:09:17,440 --> 00:09:19,680 Speaker 3: or he helped out. There may have been a woman 205 00:09:19,679 --> 00:09:22,200 Speaker 3: who actually came up with it. He's made a whole 206 00:09:22,240 --> 00:09:26,480 Speaker 3: career out of this evil Longoria It's her dyrectorial debut 207 00:09:26,640 --> 00:09:29,840 Speaker 3: is saying, hey, this isn't a documentary, Richie. 208 00:09:29,880 --> 00:09:32,280 Speaker 1: You saw it, right, Richie can Taro? Yeah I did. 209 00:09:32,600 --> 00:09:34,440 Speaker 6: I was actually watching it over the weekend with my 210 00:09:34,520 --> 00:09:37,040 Speaker 6: nieces and nephews and of course what other way, but 211 00:09:37,280 --> 00:09:38,680 Speaker 6: by eating hon Cheetos as well? 212 00:09:40,040 --> 00:09:43,880 Speaker 3: Does it bother you if you've realized that most of 213 00:09:43,920 --> 00:09:44,920 Speaker 3: it is maloney? 214 00:09:45,200 --> 00:09:45,600 Speaker 1: You know what? 215 00:09:46,240 --> 00:09:48,440 Speaker 6: Watching it, I didn't really hear too much about it 216 00:09:48,520 --> 00:09:50,959 Speaker 6: not being legit. I literally thought it was and I 217 00:09:50,960 --> 00:09:53,480 Speaker 6: thought it was very inspirational being Latino and seeing that, 218 00:09:53,679 --> 00:09:56,199 Speaker 6: so yeah, I you know, coming about when the headlines 219 00:09:56,240 --> 00:09:59,000 Speaker 6: came about and learning that it wasn't, I was kind 220 00:09:59,000 --> 00:10:02,439 Speaker 6: of like, oh, okay, I mean it's still a good film, right, 221 00:10:02,440 --> 00:10:06,360 Speaker 6: but yeah, a little disappointed in that part. But love 222 00:10:06,440 --> 00:10:08,920 Speaker 6: hot cheetos and then weather tip you know, some lime 223 00:10:09,000 --> 00:10:11,920 Speaker 6: on there. So really, guys, you. 224 00:10:11,880 --> 00:10:13,520 Speaker 1: Know you got to have that extra kick to it, 225 00:10:13,600 --> 00:10:15,559 Speaker 1: that that wonderful well. 226 00:10:15,640 --> 00:10:17,760 Speaker 3: Eva Longoria's whole thing is like, this is really a 227 00:10:17,800 --> 00:10:22,040 Speaker 3: celebration of a Mexican American success story, and Pepsi Coo 228 00:10:22,200 --> 00:10:24,080 Speaker 3: has gone out of its way to say, even though 229 00:10:24,080 --> 00:10:26,200 Speaker 3: we're not sure he actually had anything to do with 230 00:10:26,800 --> 00:10:30,559 Speaker 3: which is crazy because like, I don't know, Yeah, it's 231 00:10:30,600 --> 00:10:31,120 Speaker 3: a situation. 232 00:10:31,200 --> 00:10:31,839 Speaker 1: I don't know. 233 00:10:31,920 --> 00:10:35,360 Speaker 3: I mean it is sort of like weird that you'd 234 00:10:35,360 --> 00:10:38,520 Speaker 3: make a movie about it then, right, but it's Hollywood, 235 00:10:38,640 --> 00:10:41,320 Speaker 3: And of course Holly's not doing anything right now because 236 00:10:41,320 --> 00:10:43,520 Speaker 3: the writers are still on strike. And next hour we 237 00:10:43,559 --> 00:10:46,840 Speaker 3: are going to talk to a writer. Kfi's very own 238 00:10:47,040 --> 00:10:49,160 Speaker 3: former a person here, Vanessa her, and she's going to 239 00:10:49,200 --> 00:10:52,280 Speaker 3: join us because she's now going on week six without 240 00:10:52,280 --> 00:10:55,120 Speaker 3: a paycheck. She works on the Equalizer at CBS, starring 241 00:10:55,160 --> 00:11:00,600 Speaker 3: Queen Latifa. Meantime, okay, I get three or four calls 242 00:11:00,600 --> 00:11:04,240 Speaker 3: a day even though I'm on the do not call list. 243 00:11:04,640 --> 00:11:08,520 Speaker 3: Now the new thing is a Solar credits or HVAC 244 00:11:08,640 --> 00:11:12,040 Speaker 3: I can't tell. Before it was car warranties. Does anybody 245 00:11:12,040 --> 00:11:16,760 Speaker 3: know anyone who actually got a car warranty based on 246 00:11:16,840 --> 00:11:19,800 Speaker 3: those calls? If you are out there and you said, 247 00:11:19,840 --> 00:11:22,480 Speaker 3: you know what, it seemed like a good deal, tweet 248 00:11:22,520 --> 00:11:28,679 Speaker 3: me at Jane Wells because they must somebody must bite 249 00:11:28,760 --> 00:11:31,719 Speaker 3: for them to keep having these robots make these robocalls, 250 00:11:31,760 --> 00:11:35,160 Speaker 3: even though they're facing litigation for doing so, California. It 251 00:11:35,160 --> 00:11:38,400 Speaker 3: turns out, according to a new study, ranks number one 252 00:11:39,200 --> 00:11:40,840 Speaker 3: an investment fraud. 253 00:11:41,720 --> 00:11:41,960 Speaker 1: Now. 254 00:11:42,040 --> 00:11:45,319 Speaker 3: I'm getting pinged all the time on Twitter and LinkedIn 255 00:11:45,440 --> 00:11:47,920 Speaker 3: now by people who want me to invest that are this, 256 00:11:48,000 --> 00:11:49,680 Speaker 3: that or the other, So that whole thing is turning. 257 00:11:49,800 --> 00:11:52,760 Speaker 3: LinkedIn has changed so much from being a place where 258 00:11:52,880 --> 00:11:54,679 Speaker 3: you look for a job or you network, to now 259 00:11:54,679 --> 00:11:58,360 Speaker 3: people are pitch pitch pitching or anyhow. According to Carlson 260 00:11:58,440 --> 00:12:02,040 Speaker 3: Lawn investment fraud company releasing its state of investment Fraud 261 00:12:02,040 --> 00:12:04,960 Speaker 3: in twenty twenty three, we're number one. We lost eight 262 00:12:05,080 --> 00:12:08,520 Speaker 3: hundred and sixty nine million dollars to investment fraud last year, 263 00:12:08,600 --> 00:12:11,600 Speaker 3: which is about twenty five percent of the nation's total 264 00:12:11,720 --> 00:12:14,120 Speaker 3: three point eight billion. Yeah, we got thirteen percent of 265 00:12:14,160 --> 00:12:16,800 Speaker 3: the population, but we gave up twenty five percent of 266 00:12:16,840 --> 00:12:21,680 Speaker 3: the fraud investment fraud. It's mostly due to crypto scams, 267 00:12:22,480 --> 00:12:26,839 Speaker 3: which stole a record two point six billion last year. 268 00:12:27,440 --> 00:12:30,520 Speaker 3: And if the future of fraud will involve deep fake 269 00:12:30,640 --> 00:12:33,440 Speaker 3: videos and voice cloning, so they talk about in this 270 00:12:33,520 --> 00:12:39,120 Speaker 3: story from Carlson Law four types of investment fraud to 271 00:12:39,240 --> 00:12:44,600 Speaker 3: avoid in twenty twenty three. Number one AI deep fake 272 00:12:44,800 --> 00:12:48,079 Speaker 3: and voice cloning fraud, and it says a woman lost 273 00:12:48,400 --> 00:12:51,640 Speaker 3: seven hundred and fifty thousand dollars after watching a video 274 00:12:51,960 --> 00:12:55,080 Speaker 3: of billionaire Elon Musk, which convinced her to go to 275 00:12:55,120 --> 00:12:57,960 Speaker 3: a website to buy shares of a stock. 276 00:12:59,240 --> 00:13:00,560 Speaker 1: All right, let me just stop you there. 277 00:13:02,559 --> 00:13:06,280 Speaker 3: You see a video of Elon Musk, or you think 278 00:13:06,280 --> 00:13:09,880 Speaker 3: it's Elon Musk, and you immediately take seven hundred and 279 00:13:09,880 --> 00:13:11,640 Speaker 3: fifty that you must have so much money that you 280 00:13:11,640 --> 00:13:14,000 Speaker 3: don't know what to do with. She invested and she 281 00:13:14,120 --> 00:13:18,840 Speaker 3: received documents showing huge returns. Unfortunately, the video was an 282 00:13:18,920 --> 00:13:23,160 Speaker 3: AI generated deep fake which used voice cloning technology, and 283 00:13:23,240 --> 00:13:24,280 Speaker 3: her money was stolen. 284 00:13:25,080 --> 00:13:26,320 Speaker 1: Now how to avoid this. 285 00:13:27,320 --> 00:13:33,000 Speaker 3: Signs of deep fake video may include excessive blinking, no blinking, 286 00:13:33,960 --> 00:13:36,600 Speaker 3: well that would be the real Mark Zuckerberg, or changes 287 00:13:36,640 --> 00:13:39,839 Speaker 3: in skin tone and lighting. Be wary of videos from 288 00:13:39,960 --> 00:13:42,439 Speaker 3: celebrities offering investment opportunities. 289 00:13:42,679 --> 00:13:43,920 Speaker 1: Matt Damoncrypto dot. 290 00:13:43,720 --> 00:13:48,880 Speaker 3: Com number two Crypto initial coin offerings or icos. They're 291 00:13:48,920 --> 00:13:51,440 Speaker 3: kind of like IPOs, but they're you know, hey, we're 292 00:13:51,480 --> 00:13:54,720 Speaker 3: going to have a new coin. As a company seeks 293 00:13:54,760 --> 00:13:57,600 Speaker 3: to raise capital for an ICO that promises high returns 294 00:13:57,679 --> 00:14:01,440 Speaker 3: or an innovative project that does not exist. They use 295 00:14:01,520 --> 00:14:04,040 Speaker 3: fake websites and they come up with fake what are 296 00:14:04,040 --> 00:14:07,560 Speaker 3: called white papers, which are supposed to back the coin 297 00:14:07,640 --> 00:14:10,760 Speaker 3: and what's the technology behind it, et cetera, to lure 298 00:14:10,920 --> 00:14:14,520 Speaker 3: investors into buying tokens. Once you invest, everything disappears. How 299 00:14:14,559 --> 00:14:19,920 Speaker 3: to avoid this put the founder's image, email, and phone 300 00:14:20,000 --> 00:14:23,840 Speaker 3: number into a reverse search platform to confirm the identity, 301 00:14:24,520 --> 00:14:27,200 Speaker 3: because half the time you'll find out the photo is 302 00:14:27,240 --> 00:14:30,160 Speaker 3: not them, the email does not the phone number does 303 00:14:30,200 --> 00:14:34,240 Speaker 3: not exist. Then thoroughly research the firm and be skeptical. Yeah, 304 00:14:34,280 --> 00:14:38,400 Speaker 3: here's another idea, don't do it. Number three real estate 305 00:14:38,480 --> 00:14:42,000 Speaker 3: phantom property. Real estate agents create property listings for a 306 00:14:42,080 --> 00:14:46,040 Speaker 3: lucrative real estate investment. They have fake permits and titles 307 00:14:46,120 --> 00:14:49,160 Speaker 3: that look legitimate, but it is a phantom property that 308 00:14:49,200 --> 00:14:49,960 Speaker 3: does not exist. 309 00:14:50,080 --> 00:14:50,880 Speaker 1: How do you avoid this? 310 00:14:51,440 --> 00:14:56,960 Speaker 3: Visit the property before investing and research the agents involved. Also, 311 00:14:57,000 --> 00:14:59,800 Speaker 3: the documents they send you may have visible deletions, alter 312 00:15:00,520 --> 00:15:04,240 Speaker 3: or use different handwriting and font That's what I always like. 313 00:15:04,440 --> 00:15:05,840 Speaker 1: You know, they're getting better. 314 00:15:05,600 --> 00:15:09,680 Speaker 3: They're using AI and so the you know, the Russian 315 00:15:09,760 --> 00:15:12,360 Speaker 3: emails trying to get you invest that don't spell write 316 00:15:12,400 --> 00:15:16,800 Speaker 3: or you have wrong incorrect syntax. They're getting better. And 317 00:15:16,880 --> 00:15:19,560 Speaker 3: number four is a good old fashioned Ponzi scheme. You know, 318 00:15:19,760 --> 00:15:27,640 Speaker 3: where you are promised outlandish returns, quote guaranteed. How do 319 00:15:27,680 --> 00:15:32,080 Speaker 3: you avoid that? If it's too good to be true, 320 00:15:33,160 --> 00:15:37,920 Speaker 3: it probably is. Later in the show, we are going 321 00:15:37,960 --> 00:15:40,360 Speaker 3: to discuss chat bet because I've been talking to a 322 00:15:40,360 --> 00:15:43,920 Speaker 3: lot of executives, chief financial officers, chief information to technology 323 00:15:43,920 --> 00:15:47,200 Speaker 3: officers at companies around the West, by private, public, large 324 00:15:47,240 --> 00:15:50,440 Speaker 3: and small, over the last couple of months, and almost 325 00:15:50,680 --> 00:15:54,480 Speaker 3: to a company they are instituting what's called generative AI. 326 00:15:54,560 --> 00:15:57,880 Speaker 3: Not just regular AI, which you know everybody uses it. 327 00:15:57,880 --> 00:15:59,720 Speaker 3: It's just this when you use a computer instead of 328 00:15:59,720 --> 00:16:04,200 Speaker 3: a person, but generative AI, where it's generating content, generating speech, 329 00:16:04,280 --> 00:16:07,360 Speaker 3: or it's learning, you've got machine learning. They are all 330 00:16:07,480 --> 00:16:09,360 Speaker 3: using it, many of them want to use it to 331 00:16:09,440 --> 00:16:14,320 Speaker 3: replace people. But it is still particularly jat GPT is 332 00:16:14,360 --> 00:16:17,920 Speaker 3: still so riddled with errors at the moment. You may 333 00:16:17,960 --> 00:16:22,040 Speaker 3: recall the lawyer that used chat GPT to come up 334 00:16:22,040 --> 00:16:24,560 Speaker 3: with precedent to argue his case, and the computer came 335 00:16:24,640 --> 00:16:26,680 Speaker 3: up with four cases that didn't exist, and the judge 336 00:16:26,720 --> 00:16:31,000 Speaker 3: was like what. However, they are banning it. So later 337 00:16:31,040 --> 00:16:33,480 Speaker 3: in the show we are going to talk about chat GPT. 338 00:16:33,680 --> 00:16:40,120 Speaker 3: In fact, I'm going to have chat GPT do that segment. 339 00:16:41,720 --> 00:16:44,320 Speaker 3: That's a tease. Jane Wells feeling for John and KNK 340 00:16:44,640 --> 00:16:45,680 Speaker 3: I am six forty. 341 00:16:46,200 --> 00:16:49,560 Speaker 4: You're listening to John and Ken on demand from KFI 342 00:16:49,800 --> 00:16:50,760 Speaker 4: AM six forty. 343 00:16:51,040 --> 00:16:53,480 Speaker 3: I'm Jane Wells feeling in for John and Ken. I 344 00:16:53,520 --> 00:16:56,280 Speaker 3: didn't know it's John Cobelt's birthday today. 345 00:16:56,480 --> 00:16:58,920 Speaker 1: Yes it is. It's a one hundred and three, one 346 00:16:59,000 --> 00:17:02,440 Speaker 1: hundred and two. No, he's one of. 347 00:17:02,360 --> 00:17:04,560 Speaker 3: These guys like my husband who came out of the womb, 348 00:17:04,640 --> 00:17:09,680 Speaker 3: an old man you know, well, no old man grumpy, grumpy? 349 00:17:09,800 --> 00:17:12,640 Speaker 7: Oh yeah, yeah, John can be grumpy. 350 00:17:13,320 --> 00:17:17,040 Speaker 1: Really, I have noticed he hides it well, he does. 351 00:17:17,080 --> 00:17:17,520 Speaker 1: He does. 352 00:17:18,080 --> 00:17:21,639 Speaker 3: So happy birthday at JK. I think I don't know 353 00:17:21,720 --> 00:17:24,760 Speaker 3: if he's back tomorrow. One of them's back tomorrow. Okay, 354 00:17:24,840 --> 00:17:27,840 Speaker 3: So John's still enjoying another year around the sun. 355 00:17:27,880 --> 00:17:29,520 Speaker 1: We wish him well. I hope he's having a good time. 356 00:17:30,119 --> 00:17:32,520 Speaker 3: Later in the show, actually, in the next segment, we 357 00:17:32,560 --> 00:17:35,199 Speaker 3: were going to discuss how gen Z's affecting the workplace 358 00:17:35,560 --> 00:17:38,120 Speaker 3: and whether or not that's a good thing in my opinion, 359 00:17:38,560 --> 00:17:40,080 Speaker 3: And if we're all going to head for a for 360 00:17:40,240 --> 00:17:41,679 Speaker 3: day work week, wouldn't that be great to have a 361 00:17:41,680 --> 00:17:42,400 Speaker 3: forty work week? 362 00:17:42,480 --> 00:17:44,479 Speaker 1: It would, But in our business, that's just not going 363 00:17:44,520 --> 00:17:44,960 Speaker 1: to happen. 364 00:17:45,320 --> 00:17:49,719 Speaker 3: Well, I had it for a brief moment in time, 365 00:17:51,240 --> 00:17:53,800 Speaker 3: and then they took it away, really because well, like 366 00:17:53,840 --> 00:17:56,040 Speaker 3: you said, it's the news business. It's just you have 367 00:17:56,080 --> 00:17:58,359 Speaker 3: a machine you have to feed all the time. They'd 368 00:17:58,359 --> 00:18:00,879 Speaker 3: have to you'd have to jobs share or take a 369 00:18:00,920 --> 00:18:03,159 Speaker 3: twenty percent pay cut, and that was not that's not 370 00:18:03,200 --> 00:18:07,119 Speaker 3: cool exactly. But we'll talk about that in the next segment. 371 00:18:08,640 --> 00:18:10,840 Speaker 3: I needed twenty percent paycut just so I can get 372 00:18:10,840 --> 00:18:13,200 Speaker 3: into a different tax bracket with the IRS. And we 373 00:18:13,600 --> 00:18:17,840 Speaker 3: were going to spend eighty billion dollars more to give 374 00:18:17,880 --> 00:18:21,520 Speaker 3: IRS agents the ability to track down scoff laws. Now 375 00:18:21,520 --> 00:18:24,480 Speaker 3: it's only sixty billion, and based on what's being reported 376 00:18:24,480 --> 00:18:26,200 Speaker 3: in the Wall Street Journal, maybe that ought. 377 00:18:26,000 --> 00:18:27,000 Speaker 1: To go to zero. 378 00:18:27,119 --> 00:18:30,600 Speaker 3: Here are two stories that ought to make your hair 379 00:18:31,440 --> 00:18:36,880 Speaker 3: stand up on edge. The GOP, the House of Republican 380 00:18:38,840 --> 00:18:45,359 Speaker 3: Judiciary Committee, is looking into two surprise visits by IRS 381 00:18:45,440 --> 00:18:50,919 Speaker 3: agents to people's homes without any letter or warning, allegedly 382 00:18:51,800 --> 00:18:55,840 Speaker 3: this one. This first one happened in Marion, Ohio in April. 383 00:18:57,000 --> 00:19:00,119 Speaker 3: According to the journal, a taxpayer received a visit from 384 00:19:00,080 --> 00:19:02,280 Speaker 3: a man who claimed his name was Bill House and 385 00:19:02,320 --> 00:19:06,000 Speaker 3: he worked for the IRS Criminal Division. Mister House said 386 00:19:06,040 --> 00:19:08,520 Speaker 3: he needed to talk to this taxpayer, a woman about 387 00:19:08,520 --> 00:19:10,880 Speaker 3: an estate for which she was the fiduciary. So she's 388 00:19:10,920 --> 00:19:14,280 Speaker 3: the trustee or the executor or something of somebody's estate. 389 00:19:15,320 --> 00:19:18,800 Speaker 3: She let him in first mistake, despite having received no 390 00:19:19,000 --> 00:19:22,960 Speaker 3: prior IRS communication. I don't know, you know, I'd be like, 391 00:19:23,000 --> 00:19:24,720 Speaker 3: show me your ID, and then you're kind of afraid 392 00:19:24,760 --> 00:19:26,720 Speaker 3: because it is the taxman, they show you an ID. 393 00:19:27,520 --> 00:19:30,480 Speaker 3: Mister House claimed he that she had not properly filled 394 00:19:30,480 --> 00:19:33,240 Speaker 3: out estate forms and owed the thought of the IRS 395 00:19:33,359 --> 00:19:37,399 Speaker 3: quote a substantial amount for the estate. Only when the 396 00:19:37,440 --> 00:19:40,760 Speaker 3: taxpayer presented proof of paying all taxes on the estate 397 00:19:40,760 --> 00:19:44,320 Speaker 3: did the agent reveal that his visit wasn't about the 398 00:19:44,440 --> 00:19:46,119 Speaker 3: estate at all. 399 00:19:46,800 --> 00:19:47,879 Speaker 1: It was about. 400 00:19:47,520 --> 00:19:52,440 Speaker 3: Several supposed delinquent tax returns related to the decedent of 401 00:19:52,480 --> 00:19:56,240 Speaker 3: these the dead guy. Okay, apparently the dead guy was 402 00:19:56,280 --> 00:19:59,960 Speaker 3: delinquent on tax returns, and even though this fiduciary had 403 00:20:00,040 --> 00:20:02,040 Speaker 3: nothing to do with that, and was all up to date. 404 00:20:02,680 --> 00:20:06,680 Speaker 3: That's what the IRS was there for now. The taxpayer 405 00:20:06,720 --> 00:20:10,520 Speaker 3: called her attorney, who insisted mister House leave the house, 406 00:20:11,040 --> 00:20:14,040 Speaker 3: only to be told by the IRIA I'm an IRIS agent. 407 00:20:14,680 --> 00:20:18,560 Speaker 3: I can be at and go into anyone's house at 408 00:20:18,640 --> 00:20:20,159 Speaker 3: any time I want to be. 409 00:20:21,200 --> 00:20:22,400 Speaker 1: He finally left. 410 00:20:22,200 --> 00:20:26,399 Speaker 3: But not before threatening to freeze the woman's assets and 411 00:20:26,480 --> 00:20:29,760 Speaker 3: put a lien on her house if she didn't satisfy 412 00:20:29,800 --> 00:20:30,880 Speaker 3: the balance. 413 00:20:30,840 --> 00:20:31,359 Speaker 1: In a week. 414 00:20:32,480 --> 00:20:35,640 Speaker 3: Fearing a scam, according to the journal, she called the police, 415 00:20:35,960 --> 00:20:40,160 Speaker 3: who ran his license plate to verify his identity. When 416 00:20:40,160 --> 00:20:44,040 Speaker 3: a police officer called mister House, he identified himself as 417 00:20:44,040 --> 00:20:47,720 Speaker 3: an IRS agent, but said that House wasn't his real name, 418 00:20:47,760 --> 00:20:52,479 Speaker 3: he was using an alias. The officer, also suspecting a scam, 419 00:20:52,560 --> 00:20:55,160 Speaker 3: warned that if he went back to the woman's home, 420 00:20:55,320 --> 00:21:00,399 Speaker 3: he'd be arrested. Mister House then filed a complaint against 421 00:21:00,480 --> 00:21:05,119 Speaker 3: the Marion police officer with the Treasury Department Inspector General. 422 00:21:05,359 --> 00:21:07,960 Speaker 3: So he's starting to stick the Treasury on the cop. 423 00:21:09,720 --> 00:21:13,720 Speaker 3: The taxpayer then spoke to mister House as supervisor, who 424 00:21:13,800 --> 00:21:17,760 Speaker 3: clarified that yes, in fact, she owed nothing and quote, 425 00:21:17,760 --> 00:21:22,120 Speaker 3: things should have never gotten this far. Then the following day, 426 00:21:22,520 --> 00:21:25,760 Speaker 3: she received a letter addressed to the dead guy stating 427 00:21:25,800 --> 00:21:28,320 Speaker 3: that the dead guy was delinquent on several filings. This 428 00:21:28,480 --> 00:21:33,520 Speaker 3: was the first and only mail notification she ever received. 429 00:21:34,080 --> 00:21:37,160 Speaker 3: She was again told nothing was owed and the case 430 00:21:37,240 --> 00:21:42,879 Speaker 3: was closed. So, in summary, some IRS agent wielding the 431 00:21:42,920 --> 00:21:47,320 Speaker 3: power of the federal government, shows up unannounced at your home, 432 00:21:49,040 --> 00:21:52,600 Speaker 3: lies about his identity to get inside, threatens you with 433 00:21:52,680 --> 00:21:55,000 Speaker 3: punishment if you don't pay a tax bill that you 434 00:21:55,200 --> 00:21:59,480 Speaker 3: don't owe, and leaves only after the intervention of a 435 00:21:59,560 --> 00:22:03,920 Speaker 3: lawyer and when the police call. Then the police officers reported, 436 00:22:04,560 --> 00:22:08,160 Speaker 3: this is not the first time in recent memory that 437 00:22:08,200 --> 00:22:14,320 Speaker 3: this has happened. In March, the journalist Matt Taibi, who 438 00:22:14,520 --> 00:22:18,000 Speaker 3: was reporting all the things in the Twitter files about 439 00:22:18,040 --> 00:22:21,399 Speaker 3: how Twitter was in cahoots with the federal for the 440 00:22:21,400 --> 00:22:26,320 Speaker 3: Biden administration and Democrats. The day he was appearing before 441 00:22:26,359 --> 00:22:30,359 Speaker 3: the House Judiciary Committee to talk about this, an IRS 442 00:22:30,400 --> 00:22:34,679 Speaker 3: agent made a surprise visit to his house. He was 443 00:22:34,760 --> 00:22:38,399 Speaker 3: subsequently told there were identity theft concerns with his twenty 444 00:22:38,440 --> 00:22:42,199 Speaker 3: twenty one and twenty eighteen tax returns, even though his 445 00:22:42,280 --> 00:22:45,959 Speaker 3: accountants possessed documentation that the return had been accepted and 446 00:22:46,040 --> 00:22:51,199 Speaker 3: had never received any notification of a problem, it seems 447 00:22:51,240 --> 00:22:54,600 Speaker 3: the IRS, according the Journal, officially opened its examination of 448 00:22:54,640 --> 00:22:55,800 Speaker 3: mister Tybee's return. 449 00:22:56,400 --> 00:22:56,880 Speaker 1: What day? 450 00:22:57,119 --> 00:23:00,400 Speaker 3: What day did they start looking into Matt Tayibe, who 451 00:23:00,440 --> 00:23:04,199 Speaker 3: has been critical of the federal government for years and 452 00:23:04,280 --> 00:23:07,080 Speaker 3: had started putting two and two together with the Twitter files? 453 00:23:07,400 --> 00:23:10,920 Speaker 3: What day did the IRS officially open its examination into 454 00:23:10,920 --> 00:23:12,399 Speaker 3: his returns? 455 00:23:12,440 --> 00:23:13,879 Speaker 1: December twenty fourth? 456 00:23:14,680 --> 00:23:19,159 Speaker 3: Not only a Christmas Eve, but a Saturday, writes the Journal. 457 00:23:19,200 --> 00:23:22,919 Speaker 3: What could be urgent enough to inspire a government employee 458 00:23:22,920 --> 00:23:26,640 Speaker 3: to work over time? That was the day Matt Taibi 459 00:23:26,760 --> 00:23:30,240 Speaker 3: had finished three weeks of reporting on the Twitter files 460 00:23:30,240 --> 00:23:34,560 Speaker 3: and expose of a wide sweep of federal agencies working 461 00:23:34,560 --> 00:23:39,040 Speaker 3: with social media companies to censor online speech. It also 462 00:23:39,240 --> 00:23:43,720 Speaker 3: showed there's more just this keeps going. An IRS agent 463 00:23:43,840 --> 00:23:48,240 Speaker 3: dived deep into mister Tybee's personal file, his life, compiling 464 00:23:48,240 --> 00:23:53,120 Speaker 3: a file of his voter registration cards, whether he concealed 465 00:23:53,359 --> 00:23:57,800 Speaker 3: had a concealed weapons permit, whether he possessed hunting and 466 00:23:57,920 --> 00:24:03,960 Speaker 3: phishing licenses. What does that have to do with your 467 00:24:04,000 --> 00:24:09,119 Speaker 3: tax liability? Again, this guy or these people are acting 468 00:24:09,160 --> 00:24:12,720 Speaker 3: like they're going after al Capone, and they think they're 469 00:24:12,720 --> 00:24:13,400 Speaker 3: Elliott Nass. 470 00:24:13,400 --> 00:24:15,360 Speaker 1: They think they're the FBI working with the IRS. 471 00:24:16,119 --> 00:24:19,160 Speaker 3: So this is the House Judiciary Committee is now demanding 472 00:24:19,200 --> 00:24:22,880 Speaker 3: all kinds of documents from the IRS in both cases 473 00:24:23,200 --> 00:24:26,400 Speaker 3: who knew what, when, who said what to whom? And 474 00:24:26,960 --> 00:24:30,400 Speaker 3: I'm glad again they clawed back at least twenty billion dollars. 475 00:24:31,160 --> 00:24:35,480 Speaker 3: I hope that's only the beginning. By the way, Harry 476 00:24:35,480 --> 00:24:37,920 Speaker 3: and Meghan are now being called grifters by someone who 477 00:24:37,960 --> 00:24:39,560 Speaker 3: was working with them, Maybe the IRS I ought to 478 00:24:39,600 --> 00:24:41,480 Speaker 3: go after them. We'll have more on that later. Jane 479 00:24:41,480 --> 00:24:43,960 Speaker 3: Wells filling for John and kN k I AM six forty. 480 00:24:44,440 --> 00:24:47,760 Speaker 4: You're listening to John and Ken on demand from KFI 481 00:24:48,000 --> 00:24:48,960 Speaker 4: AM six forty. 482 00:24:49,520 --> 00:24:51,240 Speaker 1: I'm actually going to Japan this week. 483 00:24:52,320 --> 00:24:54,120 Speaker 3: I'm going to Tokyo for a wedding and then down 484 00:24:54,160 --> 00:24:58,600 Speaker 3: to Okinawa to see my son and my grandchildren. And 485 00:24:59,160 --> 00:25:02,320 Speaker 3: because like over the stock mark for CNBC Japanese stocks, 486 00:25:02,440 --> 00:25:04,280 Speaker 3: they're having a great year. They're up twenty eight percent. 487 00:25:04,320 --> 00:25:06,880 Speaker 3: And there's a word now that if you are a 488 00:25:06,920 --> 00:25:09,840 Speaker 3: fan of Warren Buffett, he has just raised his stakes 489 00:25:09,880 --> 00:25:13,919 Speaker 3: in several Japanese exchanges. So if you like to follow 490 00:25:13,960 --> 00:25:18,880 Speaker 3: his lead, uh Richie, you know who Warren Buffett is? Nope, 491 00:25:20,160 --> 00:25:25,879 Speaker 3: Tony yes, okay, how old are you? Tony forty seven? 492 00:25:26,240 --> 00:25:27,080 Speaker 1: Richie? How old are you? 493 00:25:27,440 --> 00:25:30,440 Speaker 3: Thirty three? All right, google it you are not thirty three. 494 00:25:30,520 --> 00:25:32,040 Speaker 3: Oh my gosh, you must still get carted. 495 00:25:32,320 --> 00:25:34,200 Speaker 1: I do. I just had my birthday over the weekend. 496 00:25:34,320 --> 00:25:37,440 Speaker 1: So congratulation, thank you, Debor. You know who Warren Buffett is, 497 00:25:37,480 --> 00:25:39,959 Speaker 1: don't you? Yes, I do. And I'm not saying my age. 498 00:25:41,000 --> 00:25:44,280 Speaker 6: She's twenty one, she's forever young, forever twenty one. 499 00:25:44,400 --> 00:25:44,600 Speaker 1: Yeah. 500 00:25:44,760 --> 00:25:49,240 Speaker 3: Oh so, Warren Buffett invests in good businesses. But business 501 00:25:49,240 --> 00:25:53,160 Speaker 3: in America is changing, The office is changing. Bernie Sanders 502 00:25:53,200 --> 00:25:55,520 Speaker 3: is still calling for four day work week, and I 503 00:25:55,560 --> 00:25:57,480 Speaker 3: saw this story from the Hill which. 504 00:25:57,359 --> 00:25:58,159 Speaker 1: I do not believe. 505 00:25:58,400 --> 00:26:02,960 Speaker 3: More than half of American employers either offer a fortday week, 506 00:26:03,000 --> 00:26:06,440 Speaker 3: win work week, or plan too. This is a survey 507 00:26:06,920 --> 00:26:10,680 Speaker 3: of almost a thousand business leaders by resume builder dot com. 508 00:26:10,480 --> 00:26:13,640 Speaker 1: Saying twenty percent already have a four day work week. 509 00:26:13,720 --> 00:26:16,440 Speaker 3: I do not believe that unless you're interviewing a lot 510 00:26:16,480 --> 00:26:19,720 Speaker 3: of businesses that have, you know, like fast food restaurants 511 00:26:19,720 --> 00:26:22,960 Speaker 3: where maybe people aren't working full ships. And another forty 512 00:26:23,000 --> 00:26:25,399 Speaker 3: one percent plan to and implement it. I do not 513 00:26:25,480 --> 00:26:25,919 Speaker 3: believe that. 514 00:26:26,520 --> 00:26:29,080 Speaker 7: I do not believe that I wouldn't mind working four 515 00:26:29,160 --> 00:26:31,840 Speaker 7: days a week getting the same pay one to twenty 516 00:26:31,880 --> 00:26:33,760 Speaker 7: percent rate deduction. 517 00:26:33,920 --> 00:26:36,120 Speaker 1: But I would love to have a three day weekend. 518 00:26:36,480 --> 00:26:39,720 Speaker 3: Yes, I had it for a very short time, and 519 00:26:39,760 --> 00:26:41,560 Speaker 3: then I went freelance for a while, just so that 520 00:26:41,600 --> 00:26:44,280 Speaker 3: I could be sure and have it it and I 521 00:26:44,320 --> 00:26:46,920 Speaker 3: would always have not a three day weekend. I would 522 00:26:46,960 --> 00:26:50,520 Speaker 3: take Wednesday off because then you never had to work 523 00:26:50,560 --> 00:26:52,000 Speaker 3: more than two days in a row. 524 00:26:52,200 --> 00:26:56,879 Speaker 1: I love that. But gen Z may demand it, and 525 00:26:57,480 --> 00:27:00,760 Speaker 1: gen Z it's all about gen Z. Gen zen Z. 526 00:27:01,480 --> 00:27:05,199 Speaker 3: They're already changing the workplace making an impact. In this 527 00:27:05,240 --> 00:27:09,640 Speaker 3: story in the Washington Post, the chief human resources officer 528 00:27:09,760 --> 00:27:13,480 Speaker 3: at a intellectual property firm says, for example, they've started 529 00:27:13,480 --> 00:27:16,639 Speaker 3: at her company a gen Z word of the week. 530 00:27:18,240 --> 00:27:21,119 Speaker 3: Every week, they'll present something to me and see if 531 00:27:21,160 --> 00:27:24,840 Speaker 3: I already know it, and if I don't already know it, they'll. 532 00:27:24,600 --> 00:27:27,359 Speaker 1: Explain it to me. Oh my gosh, well let me 533 00:27:27,400 --> 00:27:29,000 Speaker 1: explain warm buffett to you, bucko. 534 00:27:29,600 --> 00:27:32,840 Speaker 3: And they give me huge kudos when I can use 535 00:27:32,880 --> 00:27:35,520 Speaker 3: it in a sentence. So far, the words have included 536 00:27:35,560 --> 00:27:38,240 Speaker 3: the fire emoji, which by the way, is not a word. 537 00:27:39,400 --> 00:27:42,000 Speaker 1: And the term cloud. She said. 538 00:27:42,040 --> 00:27:43,640 Speaker 3: I was like, I know what cloud is, but it's 539 00:27:43,640 --> 00:27:45,160 Speaker 3: all these new interpretations, Richie. 540 00:27:45,200 --> 00:27:46,000 Speaker 1: What does cloud mean that? 541 00:27:46,160 --> 00:27:48,040 Speaker 3: I mean, cloud to me means you know, you've got 542 00:27:48,160 --> 00:27:51,080 Speaker 3: sway you have you know impact? 543 00:27:51,680 --> 00:27:53,919 Speaker 1: Does it mean any something else? I mean that's the 544 00:27:53,960 --> 00:27:54,800 Speaker 1: way I know about. 545 00:27:55,080 --> 00:27:57,200 Speaker 6: And I have my nieces and nephews that teach me 546 00:27:57,240 --> 00:27:59,080 Speaker 6: and keep me young and going, you know, like I 547 00:27:59,160 --> 00:28:01,480 Speaker 6: just learned the other day riz and like all these 548 00:28:01,480 --> 00:28:04,160 Speaker 6: other terms. And what's riz riz is that it's kind 549 00:28:04,160 --> 00:28:07,680 Speaker 6: of charisma, like you have that something my gosh, like swag. 550 00:28:07,720 --> 00:28:08,600 Speaker 1: I guess you can say. 551 00:28:08,680 --> 00:28:11,080 Speaker 3: So I'm seeing my daughter tonight, I'm gonna say, you've 552 00:28:11,119 --> 00:28:14,560 Speaker 3: got so much riz working on my riz today and 553 00:28:14,640 --> 00:28:16,280 Speaker 3: she will slap. 554 00:28:15,840 --> 00:28:18,920 Speaker 1: Me or say sleigh. I guess that's another one. 555 00:28:19,000 --> 00:28:21,920 Speaker 3: Well, but that's not new. Slave's been around for a while. 556 00:28:22,000 --> 00:28:24,280 Speaker 3: I mean, even I reigh. But I feel like they'd 557 00:28:24,280 --> 00:28:25,720 Speaker 3: be using it a lot. The other day, I was 558 00:28:25,760 --> 00:28:28,600 Speaker 3: at Starbucks and I overheard a conversation of the baristas 559 00:28:28,600 --> 00:28:30,240 Speaker 3: in the back and I don't know what was said, 560 00:28:30,280 --> 00:28:31,920 Speaker 3: but I just heard the girl She's like, that's a 561 00:28:32,040 --> 00:28:32,880 Speaker 3: sleigh and. 562 00:28:32,800 --> 00:28:34,840 Speaker 1: I'm like, oh, okay, cool. 563 00:28:34,760 --> 00:28:40,120 Speaker 3: Okay, so it's more of what now it's a noun, Yeah. 564 00:28:39,680 --> 00:28:40,280 Speaker 1: Pretty much. 565 00:28:40,720 --> 00:28:43,800 Speaker 3: So finally, then new grads have no idea how to 566 00:28:43,800 --> 00:28:46,800 Speaker 3: behave in the office, and so companies are now training 567 00:28:48,080 --> 00:28:53,560 Speaker 3: young people how how to behave in the office, because 568 00:28:53,560 --> 00:28:55,640 Speaker 3: they're saying many members of the class of twenty twenty 569 00:28:55,640 --> 00:28:58,880 Speaker 3: three were freshmen in college in spring of twenty twenty 570 00:28:59,160 --> 00:29:01,520 Speaker 3: when everything show down during COVID, and a lot of 571 00:29:01,520 --> 00:29:07,760 Speaker 3: them spent multiple semesters on a computer on Zoom. You know, 572 00:29:07,880 --> 00:29:10,960 Speaker 3: you could pretend that your connection went dead so you 573 00:29:10,960 --> 00:29:13,640 Speaker 3: could log off, or you could wear sweatpants all the time, 574 00:29:13,720 --> 00:29:16,640 Speaker 3: or no pants, all these sorts of things. You didn't 575 00:29:16,680 --> 00:29:18,360 Speaker 3: really have to stand up in front of class and 576 00:29:18,400 --> 00:29:22,200 Speaker 3: give presentations very often. And so apparently these kids have 577 00:29:22,320 --> 00:29:25,800 Speaker 3: no skills with a Z, no skills when it comes 578 00:29:25,840 --> 00:29:28,760 Speaker 3: to working in the office. And so now universities and 579 00:29:28,800 --> 00:29:31,560 Speaker 3: recruiters are coming up with ways to train new hires 580 00:29:31,560 --> 00:29:32,760 Speaker 3: and give them clear advice. 581 00:29:33,200 --> 00:29:33,600 Speaker 1: Okay. 582 00:29:34,600 --> 00:29:39,320 Speaker 3: Recent graduate Jocelyn Odom had her first hybrid internship after 583 00:29:39,360 --> 00:29:42,600 Speaker 3: her junior year, and she found that working in person 584 00:29:42,800 --> 00:29:48,520 Speaker 3: was draining thanks to wearing professional attire and staying energetic 585 00:29:48,920 --> 00:29:54,840 Speaker 3: constantly high. Uh huh yes, oh yes, So she needed 586 00:29:54,880 --> 00:29:59,760 Speaker 3: some networking or seminars on how to improve her communication skills. 587 00:30:00,320 --> 00:30:03,120 Speaker 3: So just before she graduated she was going to Miami 588 00:30:03,400 --> 00:30:07,600 Speaker 3: University of Ohio, she attended an etiquette dinner where she 589 00:30:07,680 --> 00:30:10,760 Speaker 3: learned to follow the lead of more senior leaders. At dinner, 590 00:30:11,160 --> 00:30:15,840 Speaker 3: eat at the pace of your boss, discuss neutral topics, 591 00:30:16,440 --> 00:30:18,120 Speaker 3: so don't come right out and say, like, you know, 592 00:30:18,200 --> 00:30:21,280 Speaker 3: what do you think about Trump? And avoid personal questions. 593 00:30:21,560 --> 00:30:24,320 Speaker 3: This is my fav When buttering bread, it is best 594 00:30:24,320 --> 00:30:26,920 Speaker 3: to put a slab of one's on one's own bread 595 00:30:26,960 --> 00:30:30,479 Speaker 3: plaint before applying it to a role. And when cutting food, 596 00:30:30,840 --> 00:30:32,600 Speaker 3: hold the fork hump side up. 597 00:30:33,600 --> 00:30:36,360 Speaker 1: Now didn't your mother teach you in. 598 00:30:36,440 --> 00:30:36,840 Speaker 4: And of this? 599 00:30:37,080 --> 00:30:41,200 Speaker 1: Why are you learning this as a college senior. 600 00:30:42,120 --> 00:30:45,880 Speaker 3: There was another one, William Lopez Gudiel twenty three interned 601 00:30:45,880 --> 00:30:50,240 Speaker 3: for Warner Brothers Discovery, where he learned to destroy CNN. 602 00:30:50,280 --> 00:30:50,800 Speaker 1: No, I'm kidding. 603 00:30:51,520 --> 00:30:55,240 Speaker 3: He had a seminar on office dynamics, which covered dress codes, 604 00:30:55,520 --> 00:31:01,280 Speaker 3: navigating interpersonal relationships they don't know apparently, how to read 605 00:31:01,960 --> 00:31:05,120 Speaker 3: colleagues cues, or navigating a meeting because they haven't been 606 00:31:05,200 --> 00:31:08,600 Speaker 3: doing that in person thing with professionals or even during 607 00:31:10,680 --> 00:31:13,120 Speaker 3: internships or anything like that during college, because it's all 608 00:31:13,160 --> 00:31:14,600 Speaker 3: been so much virtual. 609 00:31:14,720 --> 00:31:15,440 Speaker 1: So they're saying. 610 00:31:16,280 --> 00:31:20,040 Speaker 3: Some of these seminars include the basics of talking in person, 611 00:31:20,720 --> 00:31:23,920 Speaker 3: as simple as how to introduce yourself to a client 612 00:31:24,080 --> 00:31:29,520 Speaker 3: or colleague, Oh my god. Key tips include maintaining eye contact, 613 00:31:30,160 --> 00:31:35,080 Speaker 3: taking pauses, and avoiding jargon, so you shouldn't say riz 614 00:31:35,240 --> 00:31:39,560 Speaker 3: or slay like, Hi, I'm the new employee, man that 615 00:31:39,640 --> 00:31:42,320 Speaker 3: you slay, you slay, You got so much riz. 616 00:31:43,280 --> 00:31:47,640 Speaker 1: It's It's also best to listen. 617 00:31:47,400 --> 00:31:51,320 Speaker 3: Carefully to others and to adjust your introduction to highlight 618 00:31:51,360 --> 00:31:53,360 Speaker 3: pieces of your background that will be most. 619 00:31:53,160 --> 00:31:54,080 Speaker 1: Interesting than you. 620 00:31:54,240 --> 00:31:57,240 Speaker 3: So, in other words, most interesting to me if Tony 621 00:31:57,320 --> 00:32:01,560 Speaker 3: were introducing himself to me, is that he is like 622 00:32:01,680 --> 00:32:02,840 Speaker 3: a metal. 623 00:32:04,200 --> 00:32:07,560 Speaker 1: Heavy metal rock stars. Oh my gosh, who did you 624 00:32:07,600 --> 00:32:08,680 Speaker 1: say you're going to see? 625 00:32:09,320 --> 00:32:12,840 Speaker 5: Oh later this summer Pantera? Pantera back together? Kind of 626 00:32:13,080 --> 00:32:14,400 Speaker 5: well that but half of them are dead. 627 00:32:14,560 --> 00:32:14,800 Speaker 2: I know. 628 00:32:15,440 --> 00:32:17,760 Speaker 5: Okay, but I saw static X a few like a 629 00:32:17,800 --> 00:32:20,000 Speaker 5: month ago, and you went to see what a bank 630 00:32:20,000 --> 00:32:20,800 Speaker 5: called static X? 631 00:32:21,120 --> 00:32:21,760 Speaker 1: What's what's that? 632 00:32:22,360 --> 00:32:22,480 Speaker 6: You know? 633 00:32:22,520 --> 00:32:24,920 Speaker 1: They're again? It's early two thousand. Oh my god, I'm 634 00:32:24,960 --> 00:32:28,400 Speaker 1: so old. Clutch of social distortion. Oh social distortion. I 635 00:32:28,440 --> 00:32:30,040 Speaker 1: know they're great, Okay. 636 00:32:30,680 --> 00:32:33,640 Speaker 3: The company also found that young professionals are stiff, talk 637 00:32:33,720 --> 00:32:36,760 Speaker 3: too fast, and rely too much on filler words like. 638 00:32:38,480 --> 00:32:39,880 Speaker 1: Which, I you know what I do? 639 00:32:39,920 --> 00:32:42,760 Speaker 3: Whenever I fill in on this show what I go 640 00:32:42,840 --> 00:32:45,680 Speaker 3: back and listen to it later, and I say uh, 641 00:32:45,920 --> 00:32:47,680 Speaker 3: way too much, like I can't think of what I 642 00:32:47,720 --> 00:32:51,520 Speaker 3: want to say next. So instead of just stopping before 643 00:32:51,560 --> 00:32:54,640 Speaker 3: I know my next thought, I do a lot of 644 00:32:55,800 --> 00:32:58,920 Speaker 3: stopping uh before. 645 00:32:58,680 --> 00:33:02,720 Speaker 1: I I've never noticed that. Oh thank god, it makes 646 00:33:02,760 --> 00:33:05,800 Speaker 1: me insane. See I stop. 647 00:33:07,240 --> 00:33:11,080 Speaker 3: One last thing and I almost said uh, or like 648 00:33:11,760 --> 00:33:14,920 Speaker 3: oh well, no, I don't do that. That has to 649 00:33:14,960 --> 00:33:20,680 Speaker 3: stop like now, like right now, like totally like yes. 650 00:33:21,560 --> 00:33:22,280 Speaker 1: Uh. 651 00:33:23,360 --> 00:33:27,640 Speaker 3: When you introduce yourself, this is literally, which is also 652 00:33:27,680 --> 00:33:29,520 Speaker 3: a word that's misused, but in this case it is 653 00:33:29,600 --> 00:33:32,400 Speaker 3: literally because it was in a handout or written handout. 654 00:33:33,240 --> 00:33:36,080 Speaker 3: Students are instructed to introduce themselves by their first and 655 00:33:36,160 --> 00:33:41,320 Speaker 3: last name and then quote stop let the other person 656 00:33:41,360 --> 00:33:42,440 Speaker 3: then tell you their name. 657 00:33:44,160 --> 00:33:44,320 Speaker 1: You know. 658 00:33:44,400 --> 00:33:46,719 Speaker 7: As silly as the sounds, I mean it does because 659 00:33:46,800 --> 00:33:48,840 Speaker 7: so much of this just seems obvious and we take 660 00:33:48,880 --> 00:33:52,680 Speaker 7: it for granted. But if these people that are graduating 661 00:33:52,960 --> 00:33:55,840 Speaker 7: have no clue, then it is a good thing that 662 00:33:55,880 --> 00:33:56,840 Speaker 7: they're being taught this. 663 00:33:57,120 --> 00:34:00,000 Speaker 1: Shouldn't they have been taught this? Absolutely? 664 00:34:00,120 --> 00:34:04,600 Speaker 6: Go What are they being taught? Is their life skills 665 00:34:04,600 --> 00:34:06,960 Speaker 6: courses still or is that not a thing anymore? 666 00:34:07,040 --> 00:34:09,640 Speaker 3: I think it's more about financial literacy now, which I 667 00:34:09,800 --> 00:34:13,880 Speaker 3: completely approve of, because nobody knows how to balance a checkbook, 668 00:34:13,920 --> 00:34:15,759 Speaker 3: and these kids coming out of school need to know 669 00:34:15,800 --> 00:34:17,479 Speaker 3: how to set a budget and that sort of thing. 670 00:34:17,920 --> 00:34:20,040 Speaker 3: But I think, you know, you used to learn in 671 00:34:20,520 --> 00:34:24,000 Speaker 3: way back in the last century and home ech. You 672 00:34:24,000 --> 00:34:26,560 Speaker 3: would learn how how to set a table, how to eat, 673 00:34:26,600 --> 00:34:28,759 Speaker 3: to have proper etiquette, that sort of thing, you know, 674 00:34:28,840 --> 00:34:31,080 Speaker 3: don't chew with your mouth open, don't put your butter, 675 00:34:31,440 --> 00:34:33,680 Speaker 3: your butter knife in the butter plate, and keep going. 676 00:34:33,480 --> 00:34:34,560 Speaker 1: Back for more and more and more. 677 00:34:34,800 --> 00:34:38,480 Speaker 3: Double dip, don't double dip, which I really learned from Seinfeld. 678 00:34:38,640 --> 00:34:41,600 Speaker 3: I used to double dip. I'm not kidding you did not. 679 00:34:41,800 --> 00:34:45,799 Speaker 3: I never thought twice about it until Seinfeld. See Seinfeld 680 00:34:45,960 --> 00:34:49,640 Speaker 3: had an actual social positive social impact. The show about 681 00:34:49,640 --> 00:34:51,520 Speaker 3: Nothing meant something to wow. 682 00:34:51,640 --> 00:34:53,800 Speaker 1: Yeah. Ever since then, I've totally grossed myself out. I 683 00:34:53,840 --> 00:34:54,440 Speaker 1: can't believe it. 684 00:34:55,080 --> 00:34:57,880 Speaker 3: At the top of the hour, speaking of Seinfeld and 685 00:34:57,920 --> 00:35:01,160 Speaker 3: scripted television or unscripted tele division, which is not always 686 00:35:01,160 --> 00:35:04,000 Speaker 3: so unscripted. Anybody that writes a script has been out 687 00:35:04,000 --> 00:35:06,759 Speaker 3: of work for now for over six weeks. We are 688 00:35:06,800 --> 00:35:09,239 Speaker 3: going to talk to a writer on what has been 689 00:35:09,360 --> 00:35:14,880 Speaker 3: like because this really is the summer of strikes. My union, 690 00:35:15,040 --> 00:35:17,279 Speaker 3: sag AFTER, has approved a strike. If we need to 691 00:35:17,320 --> 00:35:20,840 Speaker 3: go on one, ups could have a huge strike this summer. 692 00:35:20,880 --> 00:35:23,759 Speaker 3: That's going to be terrible. But the writer's strike is 693 00:35:23,840 --> 00:35:26,000 Speaker 3: dragging on and we're not even talking about it anymore, 694 00:35:26,160 --> 00:35:28,200 Speaker 3: and it's huge in this town. We will have we 695 00:35:28,280 --> 00:35:30,239 Speaker 3: will talk about that when we come back. Jane Wells 696 00:35:30,239 --> 00:35:32,320 Speaker 3: filling in for John and KENKFI AM six forty. 697 00:35:32,600 --> 00:35:34,399 Speaker 1: Hey, you've been listening to the John and Ken Show. 698 00:35:34,400 --> 00:35:37,120 Speaker 2: You can always hear us live on KFI AM six 699 00:35:37,239 --> 00:35:40,520 Speaker 2: forty one pm to four pm every Monday through Friday, 700 00:35:40,560 --> 00:35:44,160 Speaker 2: and of course anytime on demand on the iHeartRadio app.