1 00:00:01,840 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,760 Speaker 1: Washington Broadcast Center. Jack Armstrong and Joe Getty, I'm Strong 3 00:00:10,800 --> 00:00:17,239 Speaker 1: and Jattie and he Armstrong and Yetty. 4 00:00:23,600 --> 00:00:27,200 Speaker 2: The ads look real and appealing, but experts a beware 5 00:00:27,240 --> 00:00:31,000 Speaker 2: of apartment hunting on social media apps like Instagram and TikTok. 6 00:00:31,280 --> 00:00:34,320 Speaker 2: Many of these videos we found are posted by scammers, 7 00:00:34,479 --> 00:00:40,199 Speaker 2: impersonating real agents and manipulating realistics. Fraudsters repost videos on 8 00:00:40,280 --> 00:00:44,200 Speaker 2: bogus accounts claiming to have rents far below market rate, 9 00:00:44,479 --> 00:00:47,520 Speaker 2: all with the intents of luring potential renters to send 10 00:00:47,520 --> 00:00:51,320 Speaker 2: an application fee quickly before the deal disappears. A growing 11 00:00:51,360 --> 00:00:53,400 Speaker 2: scam according to FBI data. 12 00:00:53,280 --> 00:00:55,800 Speaker 3: That'd be really easy to fall for. One of my 13 00:00:55,880 --> 00:00:59,360 Speaker 3: kids did once. Yeah, I get insidious. 14 00:00:58,960 --> 00:01:01,080 Speaker 4: When I was looking for how and stuff like that, 15 00:01:01,840 --> 00:01:03,960 Speaker 4: both renting and buying. You had to jump on it 16 00:01:04,080 --> 00:01:08,080 Speaker 4: so fast I could easily. It's just luck that I didn't. 17 00:01:07,760 --> 00:01:08,800 Speaker 1: Do that right. 18 00:01:09,160 --> 00:01:12,039 Speaker 3: And one design of these scams is you don't go 19 00:01:12,160 --> 00:01:16,679 Speaker 3: for the big ask. You get a huge number of people, 20 00:01:16,800 --> 00:01:18,800 Speaker 3: or you know, just a good number of people to 21 00:01:18,920 --> 00:01:22,840 Speaker 3: kick you twenty five bucks that's the application fee. Then 22 00:01:22,880 --> 00:01:24,720 Speaker 3: you move on to the next scam, or you send 23 00:01:24,720 --> 00:01:27,080 Speaker 3: out another wave of those emails. It doesn't cost you anything. 24 00:01:28,400 --> 00:01:31,640 Speaker 3: Change your you know, the address or PO PO box 25 00:01:31,720 --> 00:01:33,839 Speaker 3: or whatever that he can Yeah, Insidia. 26 00:01:33,440 --> 00:01:36,400 Speaker 4: Or there's old fashioned smash something with the hammer and 27 00:01:36,440 --> 00:01:38,480 Speaker 4: steel it. We need to talk about that big jewelry 28 00:01:38,600 --> 00:01:41,399 Speaker 4: robbery in the Bay Area. If you haven't seen that video, 29 00:01:41,680 --> 00:01:42,640 Speaker 4: that is wild. 30 00:01:43,240 --> 00:01:47,120 Speaker 3: Wow, a giant smash and grab crime in California. 31 00:01:47,280 --> 00:01:47,919 Speaker 1: That's weird. 32 00:01:48,000 --> 00:01:49,800 Speaker 4: But there's a twist this time, and the people are 33 00:01:49,840 --> 00:01:51,120 Speaker 4: going to be caught. It might be the end of 34 00:01:51,160 --> 00:01:51,880 Speaker 4: it for a while. 35 00:01:52,480 --> 00:01:52,800 Speaker 1: Good. 36 00:01:53,640 --> 00:01:58,520 Speaker 3: So I have been slightly playfully teasing the question, is 37 00:01:58,640 --> 00:02:03,920 Speaker 3: gen Z unemployable? Which is a pretty provocative question, and 38 00:02:04,680 --> 00:02:08,320 Speaker 3: you know, here's your caveat. We've unemployable as a heck 39 00:02:08,360 --> 00:02:12,200 Speaker 3: of a term we have for a long time around here. 40 00:02:13,960 --> 00:02:17,480 Speaker 3: Nothing yes, nothing you could do that anyone would pay 41 00:02:17,520 --> 00:02:20,680 Speaker 3: you to do. Not a single thing anyone can think of. 42 00:02:20,840 --> 00:02:26,040 Speaker 3: You are deemed unemployable. There's no job in the world 43 00:02:26,160 --> 00:02:27,120 Speaker 3: cut out for you. 44 00:02:27,800 --> 00:02:32,280 Speaker 4: None, no task that someone would rather not do themselves 45 00:02:33,200 --> 00:02:35,160 Speaker 4: that you could be paid to do and accomplish it. 46 00:02:35,280 --> 00:02:38,639 Speaker 1: Just I'd rather have a trained monkey. No nay, an 47 00:02:38,760 --> 00:02:41,960 Speaker 1: untrained monkey than you, sir or madam. 48 00:02:43,160 --> 00:02:46,440 Speaker 3: So anyway, we have long scoffed at the idea of 49 00:02:46,680 --> 00:02:49,120 Speaker 3: you know, making broad generalizations about generations. 50 00:02:49,160 --> 00:02:50,320 Speaker 1: I mean, maybe something's. 51 00:02:50,040 --> 00:02:53,440 Speaker 3: A little more common or not, but you know, the 52 00:02:53,440 --> 00:02:57,239 Speaker 3: cliches or cliches on the other Excuse me, I thought 53 00:02:57,240 --> 00:03:00,160 Speaker 3: this was so interesting. Susie Welch is the name of 54 00:03:00,200 --> 00:03:04,040 Speaker 3: this business school professor who is actually a fairly recent 55 00:03:04,200 --> 00:03:06,480 Speaker 3: rival to academia. She was in business for a very 56 00:03:06,520 --> 00:03:11,800 Speaker 3: long time, but she decided what she really wanted to 57 00:03:11,919 --> 00:03:17,760 Speaker 3: know and study was the match and mismatch of generational values. 58 00:03:19,480 --> 00:03:25,040 Speaker 3: And she wanted to know how gen Z's values compared 59 00:03:25,080 --> 00:03:31,600 Speaker 3: with the values most prized by hiring managers, which is 60 00:03:31,639 --> 00:03:35,360 Speaker 3: an extremely relevant question when you're talking about getting a job. 61 00:03:36,920 --> 00:03:38,720 Speaker 1: And the analysis. 62 00:03:38,760 --> 00:03:43,640 Speaker 4: Work life balance and a vegan culture. Yeah, we want 63 00:03:43,680 --> 00:03:46,560 Speaker 4: some of who shows up and gets the work, oh boy. 64 00:03:47,040 --> 00:03:47,360 Speaker 1: Yeah. 65 00:03:47,400 --> 00:03:50,240 Speaker 3: And the numbers that they came up with stunned even 66 00:03:50,320 --> 00:03:54,800 Speaker 3: the scientists. But first we need to explain exactly what 67 00:03:54,840 --> 00:03:55,920 Speaker 3: they did and how they did it. 68 00:03:57,640 --> 00:04:00,800 Speaker 1: They helped students, but bah bah Bah. 69 00:04:02,760 --> 00:04:09,440 Speaker 3: Discover their purpose through collecting three data sets aptitudes economically 70 00:04:09,560 --> 00:04:13,480 Speaker 3: viable interests. And that stuff's pretty easy because you can 71 00:04:13,520 --> 00:04:17,680 Speaker 3: do that with widely available tests. Values are harder to 72 00:04:17,760 --> 00:04:20,279 Speaker 3: pin down, and they make an interesting point. One reason 73 00:04:20,600 --> 00:04:25,640 Speaker 3: is that most students confuse values with virtues. Values are 74 00:04:25,760 --> 00:04:29,719 Speaker 3: choices about how we want to live and work, while 75 00:04:29,880 --> 00:04:32,800 Speaker 3: virtues are qualities that like everybody agrees are good, like 76 00:04:32,880 --> 00:04:33,880 Speaker 3: kindness or integrity. 77 00:04:34,440 --> 00:04:37,839 Speaker 4: Okay, I think people often use the term value for 78 00:04:38,279 --> 00:04:39,800 Speaker 4: what you described as virtue. 79 00:04:39,480 --> 00:04:42,080 Speaker 3: But that's fine, right, yeah, indeed, And they just had 80 00:04:42,080 --> 00:04:44,159 Speaker 3: to find a way to clarify that for the purposes 81 00:04:44,640 --> 00:04:48,320 Speaker 3: of this study. And I need a place where I 82 00:04:48,360 --> 00:04:54,719 Speaker 3: can bring my dog, my vegan dog, a vegan dog, right, 83 00:04:54,720 --> 00:04:56,719 Speaker 3: I have ready access to vegan doug fed. 84 00:04:57,839 --> 00:05:00,320 Speaker 1: So another it. 85 00:05:00,360 --> 00:05:02,560 Speaker 3: Was hard to assess values to the most available tests 86 00:05:02,560 --> 00:05:06,400 Speaker 3: relied heavily on self reporting. And you don't need a 87 00:05:06,440 --> 00:05:09,520 Speaker 3: PhD to know that people were more complex than they 88 00:05:09,560 --> 00:05:13,480 Speaker 3: passed themselves off as. And then they describe and it's 89 00:05:13,520 --> 00:05:15,040 Speaker 3: not really worth the time to go into. 90 00:05:15,480 --> 00:05:17,120 Speaker 1: They spent a lot of time in Trouble with. 91 00:05:17,120 --> 00:05:21,960 Speaker 3: A team of data scientists, engineers, researchers, psychologists, etc. To 92 00:05:22,040 --> 00:05:27,120 Speaker 3: formulate a scientifically validated behaviorally based assessment tool called the 93 00:05:27,240 --> 00:05:30,440 Speaker 3: values bridge, and they identified I think it was sixteen 94 00:05:30,640 --> 00:05:34,400 Speaker 3: different values. And again it is outside the scope of 95 00:05:34,440 --> 00:05:36,400 Speaker 3: this segment to get into all of it, but you'll 96 00:05:36,400 --> 00:05:39,160 Speaker 3: get an idea. So the first step was to analyze 97 00:05:39,200 --> 00:05:46,800 Speaker 3: generation these values. In first place is youdemonia, which is 98 00:05:46,839 --> 00:05:51,719 Speaker 3: a Greek term used to encompass the desire for self 99 00:05:51,760 --> 00:05:56,760 Speaker 3: care and personal pleasure self care. I want to take 100 00:05:56,800 --> 00:06:00,520 Speaker 3: care of myself and have fun. That's in first place, 101 00:06:01,400 --> 00:06:01,720 Speaker 3: gen Z. 102 00:06:02,720 --> 00:06:05,640 Speaker 4: My experience is people who use the term self care 103 00:06:05,760 --> 00:06:10,200 Speaker 4: spend way too much time with self care. That's just 104 00:06:10,240 --> 00:06:12,839 Speaker 4: my personal anecdotal evidence. 105 00:06:12,960 --> 00:06:19,560 Speaker 3: Agreed. Yeah, to quote the Great Americana band, the Drive 106 00:06:19,560 --> 00:06:24,440 Speaker 3: by Truckers, don't be so easy on yourself anyway. So 107 00:06:24,560 --> 00:06:28,280 Speaker 3: that's first place. You'd ammonia, which is, you know, self 108 00:06:28,320 --> 00:06:33,200 Speaker 3: care and pleasure. The next choice is what they called voice, 109 00:06:33,400 --> 00:06:36,240 Speaker 3: a value that reflects the priority of person places on 110 00:06:36,440 --> 00:06:39,200 Speaker 3: expressing authentic individuality. 111 00:06:40,400 --> 00:06:42,560 Speaker 1: I want to tell people who I am man. 112 00:06:42,600 --> 00:06:45,279 Speaker 4: I never went out into the world thinking about that 113 00:06:45,360 --> 00:06:46,760 Speaker 4: at all when I needed a job. 114 00:06:47,560 --> 00:06:51,480 Speaker 3: And the third third place that they gave a Latin 115 00:06:51,560 --> 00:06:54,680 Speaker 3: term non sibby, which is and forgive me, if you've 116 00:06:54,680 --> 00:06:57,239 Speaker 3: studied Latin then I'm slaughtering it. But it's a Latin 117 00:06:57,320 --> 00:07:00,320 Speaker 3: term meaning not for oneself, which is the desire to 118 00:07:00,320 --> 00:07:04,880 Speaker 3: help people. Fourth place is affluence, which is exactly as 119 00:07:04,920 --> 00:07:09,479 Speaker 3: it sounds, and fifth beholderism, a desire for things, including 120 00:07:09,520 --> 00:07:15,560 Speaker 3: yourself to be beautiful. So in short, self care and pleasure, 121 00:07:16,520 --> 00:07:22,400 Speaker 3: telling people who I am helping other people, getting money, 122 00:07:23,720 --> 00:07:27,320 Speaker 3: and being surrounded and being beautiful and being surrounded by 123 00:07:27,320 --> 00:07:31,840 Speaker 3: beautiful things. They then surveyed, I feel like when I 124 00:07:31,880 --> 00:07:36,560 Speaker 3: was younger, I my issues were will you hire me? 125 00:07:38,200 --> 00:07:41,040 Speaker 4: Will you pay me? Will it be enough to pay 126 00:07:41,080 --> 00:07:44,120 Speaker 4: my rent? And my gas? And that was pretty much 127 00:07:44,120 --> 00:07:44,680 Speaker 4: where it ended. 128 00:07:45,240 --> 00:07:49,520 Speaker 3: The Latin term roof over ahead of us was really 129 00:07:50,040 --> 00:07:51,680 Speaker 3: my eighest priority. 130 00:07:51,280 --> 00:07:53,360 Speaker 1: Not as car repossessed us. 131 00:07:56,440 --> 00:08:00,800 Speaker 3: So then these scientists surveyed a couple of thousand of 132 00:08:00,880 --> 00:08:06,640 Speaker 3: experienced hiring managers in what they call knowledge industry roles, 133 00:08:06,680 --> 00:08:09,920 Speaker 3: that's roles that rely heavily on human capital as opposed 134 00:08:09,920 --> 00:08:13,640 Speaker 3: to being a machinist, and they asked employers to identify 135 00:08:13,720 --> 00:08:16,320 Speaker 3: the number one value they desired in their new employees. 136 00:08:16,640 --> 00:08:20,600 Speaker 3: Achievement came in first. Obviously, it's the value of wanting 137 00:08:20,640 --> 00:08:25,040 Speaker 3: accomplishments and success other people can see. That value comes 138 00:08:25,080 --> 00:08:30,160 Speaker 3: in eleventh place for Generation Z. First place for hiring 139 00:08:30,200 --> 00:08:34,520 Speaker 3: managers eleventh place for gen Z, sixty one percent wish 140 00:08:34,559 --> 00:08:38,360 Speaker 3: they had less of it in their lives. Second place 141 00:08:38,400 --> 00:08:41,319 Speaker 3: for the hiring managers was what they called scope, which 142 00:08:41,360 --> 00:08:48,240 Speaker 3: reflects the desire for learning, action and stimulation, doing stuff 143 00:08:48,240 --> 00:08:54,760 Speaker 3: and learning stuff. That ranks tenth for gen Z. Third 144 00:08:54,840 --> 00:08:58,720 Speaker 3: for hiring managers was work centrism, the desire to just 145 00:08:59,280 --> 00:09:02,400 Speaker 3: be into the job, work for work's sake. It's no 146 00:09:02,520 --> 00:09:05,079 Speaker 3: surprise hiring managers would be looking for that makes sense. 147 00:09:06,200 --> 00:09:10,520 Speaker 3: But that's in ninth place for gen Z. And so 148 00:09:10,840 --> 00:09:17,559 Speaker 3: they then calculated how many gen Z respondents identified achievement, 149 00:09:17,640 --> 00:09:20,240 Speaker 3: scope and work centrism, that's the top three for the 150 00:09:20,280 --> 00:09:23,640 Speaker 3: hiring managers. How many they identified those things in their 151 00:09:23,640 --> 00:09:28,120 Speaker 3: top five values, and it was two percent. 152 00:09:29,200 --> 00:09:31,240 Speaker 1: Two sounds like a bit of a mismatch. 153 00:09:31,320 --> 00:09:35,320 Speaker 4: Then, Yeah, I was just thinking about some of the 154 00:09:35,400 --> 00:09:38,480 Speaker 4: jobs I've had. I mean, I've had some serious monkey jobs. 155 00:09:38,880 --> 00:09:40,960 Speaker 4: The most monkey job I had that would be a 156 00:09:41,000 --> 00:09:42,000 Speaker 4: job a monkey could do. 157 00:09:42,440 --> 00:09:43,000 Speaker 1: Yeah, I was just. 158 00:09:42,960 --> 00:09:47,800 Speaker 4: Trying to apply that to these like criteria that some 159 00:09:47,880 --> 00:09:48,959 Speaker 4: of young people are wanting. 160 00:09:49,360 --> 00:09:50,000 Speaker 1: I too, have. 161 00:09:50,080 --> 00:09:53,000 Speaker 3: Performed simian tasks for the for the record, the most 162 00:09:53,120 --> 00:09:55,520 Speaker 3: monkey Well. I was mentioning when I used to sort nails. 163 00:09:55,559 --> 00:09:57,360 Speaker 3: I think you could teach a monkey to sort nails 164 00:09:57,520 --> 00:10:00,240 Speaker 3: at a big hardware store after the weekend and where 165 00:10:00,240 --> 00:10:02,280 Speaker 3: a bunch of like dads came in and mixed up 166 00:10:02,320 --> 00:10:04,640 Speaker 3: the nails and the different sized nails things. I'd have 167 00:10:04,679 --> 00:10:06,800 Speaker 3: to sort them out on Monday and Tuesday. 168 00:10:07,120 --> 00:10:08,280 Speaker 1: It's good work if you can get it. 169 00:10:09,760 --> 00:10:11,959 Speaker 4: Make sure the nails this long are all one container 170 00:10:11,960 --> 00:10:14,000 Speaker 4: in the ones this longer in a different containder. So 171 00:10:14,040 --> 00:10:15,600 Speaker 4: a monkey could have learned to do that, but still 172 00:10:15,600 --> 00:10:18,200 Speaker 4: not as monkey ish as when I was in a 173 00:10:18,280 --> 00:10:22,040 Speaker 4: warehouse at the top of a like a pyramid of 174 00:10:22,160 --> 00:10:26,880 Speaker 4: boxes and a guy and there were different boxes of 175 00:10:26,920 --> 00:10:29,000 Speaker 4: different things, and a guy would come by and say, 176 00:10:29,120 --> 00:10:32,960 Speaker 4: I need the four of the tide boxes. And I'd 177 00:10:32,960 --> 00:10:35,199 Speaker 4: find four tides and roll them down to the bottom. 178 00:10:35,480 --> 00:10:37,680 Speaker 4: I just pushed them off. I mean I didn't even 179 00:10:37,679 --> 00:10:39,280 Speaker 4: have to do anything. I was just pushing them off 180 00:10:39,280 --> 00:10:41,199 Speaker 4: and they would roll down and he would stack them. 181 00:10:41,240 --> 00:10:45,400 Speaker 4: I mean that was like, seriously, t The only reason 182 00:10:45,440 --> 00:10:47,680 Speaker 4: I was there is because there are no monkeys in Kansas. 183 00:10:47,720 --> 00:10:50,800 Speaker 1: That's the only reason that I was doing that job. 184 00:10:50,679 --> 00:10:54,000 Speaker 3: As opposed to a primate of some sort TMW trained 185 00:10:54,000 --> 00:10:58,520 Speaker 3: monkey work. That was so a monkey I remember sitting 186 00:10:58,559 --> 00:11:01,120 Speaker 3: up there thinking, I went to college. 187 00:11:01,440 --> 00:11:04,800 Speaker 1: I think I'm kind of smart. For more of those boxes. 188 00:11:04,840 --> 00:11:07,440 Speaker 4: I'd rolled down the boxes while I'm having these thoughts 189 00:11:07,880 --> 00:11:08,800 Speaker 4: doing big things. 190 00:11:09,960 --> 00:11:10,720 Speaker 1: Oh my god. 191 00:11:12,240 --> 00:11:14,880 Speaker 3: So one more really interesting note from this study afterward 192 00:11:14,920 --> 00:11:17,800 Speaker 3: from our friends at Trust and Will. This isn't a 193 00:11:17,880 --> 00:11:20,720 Speaker 3: fun thing to do, but it's so so important. Can't 194 00:11:20,720 --> 00:11:24,520 Speaker 3: overemphasize that to create and manage a custom estate plan, 195 00:11:24,559 --> 00:11:26,240 Speaker 3: which you can do starting at one hundred and ninety 196 00:11:26,280 --> 00:11:28,400 Speaker 3: nine dollars a little more for a trust? What's the 197 00:11:28,400 --> 00:11:30,480 Speaker 3: difference between her trust and will? Which one do I need? 198 00:11:30,520 --> 00:11:33,240 Speaker 3: They are so good explaining all that. But the point 199 00:11:33,400 --> 00:11:36,280 Speaker 3: is you don't want the people you care about the 200 00:11:36,320 --> 00:11:42,360 Speaker 3: most to be involved in long, expensive, bitter, government soaked 201 00:11:42,440 --> 00:11:45,439 Speaker 3: legal battles over your wishes. Make your wish is clear. 202 00:11:46,880 --> 00:11:48,640 Speaker 4: Yeah, And this is one of those things that once 203 00:11:48,679 --> 00:11:51,480 Speaker 4: you've done it, you're going to be so happy that 204 00:11:51,559 --> 00:11:54,400 Speaker 4: you did. And then you'll have all your important documents 205 00:11:54,400 --> 00:11:57,079 Speaker 4: in one place. With bank level encryption, you'll have the 206 00:11:57,120 --> 00:11:59,160 Speaker 4: will and trust and you'll know how things are gonna, 207 00:11:59,400 --> 00:12:01,840 Speaker 4: you know, be olt with once you pass or if 208 00:12:01,880 --> 00:12:04,400 Speaker 4: you if you pass and not have a huge family 209 00:12:04,440 --> 00:12:06,480 Speaker 4: fight with lawyers in the state getting involved. 210 00:12:06,960 --> 00:12:09,400 Speaker 3: Yeah, Judy and I just did this, and it's such 211 00:12:09,440 --> 00:12:11,959 Speaker 3: a good feeling to have those plans in place. Secure 212 00:12:12,000 --> 00:12:14,760 Speaker 3: your assets, protect your loved ones with trust and will 213 00:12:14,880 --> 00:12:17,760 Speaker 3: get twenty percent off on your state plan documents by 214 00:12:17,840 --> 00:12:21,000 Speaker 3: using our code trust and will dot com slash armstrong. 215 00:12:21,240 --> 00:12:24,079 Speaker 3: That's trustinwill dot com slash armstrong. 216 00:12:24,600 --> 00:12:26,679 Speaker 1: Listen, listen, Jack. We built a track. 217 00:12:26,800 --> 00:12:29,240 Speaker 4: We've got a box with a banana underneath it and 218 00:12:29,320 --> 00:12:32,280 Speaker 4: a stick, but we've caught no monkeys, so we're gonna. 219 00:12:32,080 --> 00:12:33,800 Speaker 1: Need you through Friday. As soon as we got you 220 00:12:33,800 --> 00:12:35,400 Speaker 1: a monkey, we're gonna let you go. 221 00:12:37,080 --> 00:12:41,240 Speaker 3: So obviously, when they presented these findings to the hiring managers, 222 00:12:41,400 --> 00:12:43,320 Speaker 3: they just slapped their foreheads and said, oh my god, 223 00:12:43,400 --> 00:12:47,040 Speaker 3: it's even worse than I thought. But then this scientist, 224 00:12:47,040 --> 00:12:50,280 Speaker 3: who Susie Welch is her name, I think, Yeah, Susie Welch, 225 00:12:52,720 --> 00:12:54,720 Speaker 3: She says, I've also shared the data with my students. 226 00:12:54,760 --> 00:12:58,640 Speaker 3: Statistically speaking, my MBA students have a higher incidents of 227 00:12:58,640 --> 00:13:01,280 Speaker 3: achievement in the general population, but the reception was one 228 00:13:01,320 --> 00:13:02,400 Speaker 3: of definite unease. 229 00:13:02,760 --> 00:13:04,080 Speaker 1: Given the tenuous job market. 230 00:13:04,080 --> 00:13:06,319 Speaker 3: The last thing they wanted to hear as a professor saying, 231 00:13:06,480 --> 00:13:07,520 Speaker 3: and virtually. 232 00:13:07,080 --> 00:13:08,880 Speaker 1: None of you have the values companies want. 233 00:13:08,920 --> 00:13:12,280 Speaker 3: Anyway, I still I say it not to provoke, because 234 00:13:12,400 --> 00:13:15,760 Speaker 3: this is the data My students should know. Values, after all, 235 00:13:15,760 --> 00:13:19,280 Speaker 3: are like choices. Like all choices, they have consequences. This 236 00:13:19,400 --> 00:13:22,280 Speaker 3: message had often met with the pushback that businesses need 237 00:13:22,320 --> 00:13:26,000 Speaker 3: to change, businesses need to change. What is a focus 238 00:13:26,040 --> 00:13:29,000 Speaker 3: on achievement gotten us young people but anxiety? And who 239 00:13:29,000 --> 00:13:31,960 Speaker 3: wants a life of scope with action and stimulation when 240 00:13:32,000 --> 00:13:34,760 Speaker 3: the world is already unstable. She says, Maybe they're right, 241 00:13:34,880 --> 00:13:37,800 Speaker 3: Maybe businesses will change someday when gen Z is in charge, 242 00:13:37,920 --> 00:13:42,120 Speaker 3: But right now the marketplace faces a values disconnect between 243 00:13:42,160 --> 00:13:44,480 Speaker 3: generations that could reshape the future of work. 244 00:13:44,679 --> 00:13:45,559 Speaker 1: Yeah, it's interesting, though. 245 00:13:45,600 --> 00:13:49,600 Speaker 4: There was much less anxiety in a world where look, 246 00:13:49,760 --> 00:13:51,920 Speaker 4: your boss doesn't give a crap about you. They just 247 00:13:51,960 --> 00:13:53,680 Speaker 4: need somebody that's going to do the job, do what 248 00:13:53,720 --> 00:13:55,200 Speaker 4: they tell you to where they're going to fire you. 249 00:13:55,320 --> 00:13:58,400 Speaker 1: And there was lower anxiety back then. Well, and we're 250 00:13:58,440 --> 00:13:59,920 Speaker 1: going to go out after work and have a couple 251 00:14:00,000 --> 00:14:00,960 Speaker 1: of beers. Go ahead, Katie. 252 00:14:01,000 --> 00:14:03,400 Speaker 5: Yeah, Well, we now have a generation that expects your 253 00:14:03,440 --> 00:14:06,560 Speaker 5: boss to care and now work life balance, br bring 254 00:14:06,600 --> 00:14:08,280 Speaker 5: your opinions to work that sport of thing. 255 00:14:09,000 --> 00:14:12,320 Speaker 3: Lower your damn expectations. It's you'll be less anxious that way. 256 00:14:12,559 --> 00:14:14,120 Speaker 1: Expect nothing. That's my motto. 257 00:14:14,440 --> 00:14:17,240 Speaker 4: What was your monkey job? Text line four one five 258 00:14:17,440 --> 00:14:25,640 Speaker 4: two nine five KFTC. I mean when I worked at 259 00:14:25,720 --> 00:14:30,120 Speaker 4: UPS stacking boxes, uh, unloading boxes? 260 00:14:30,200 --> 00:14:31,160 Speaker 1: Was I stacking them around? 261 00:14:31,320 --> 00:14:33,640 Speaker 4: I was loading them into the back of a rail car. 262 00:14:34,840 --> 00:14:36,760 Speaker 4: That was kind of a monkey job, but not as 263 00:14:36,800 --> 00:14:38,520 Speaker 4: monkey a job as when I was on a top 264 00:14:38,560 --> 00:14:42,120 Speaker 4: of a big stack of boxes rolling them down to people. 265 00:14:42,440 --> 00:14:44,640 Speaker 4: That was really a monkey job. What was your monkey job? 266 00:14:44,680 --> 00:14:47,000 Speaker 4: We got a couple of texts about that. One of 267 00:14:47,040 --> 00:14:49,880 Speaker 4: my many monkey jobs in my post college young adulthood 268 00:14:50,280 --> 00:14:53,520 Speaker 4: was sweeping dead tarantulas out of the company's warehouse and 269 00:14:53,600 --> 00:14:57,600 Speaker 4: conquered that a regular thing monkey job. Running out to 270 00:14:57,680 --> 00:15:00,200 Speaker 4: pump gas when the bell went ding as cars ran 271 00:15:00,240 --> 00:15:02,400 Speaker 4: over the little hose by the gas bumps ah, And 272 00:15:02,520 --> 00:15:04,240 Speaker 4: I'd be pretty you'd have to have a pretty smart 273 00:15:04,240 --> 00:15:06,640 Speaker 4: monkey to do that. I used to water plants at 274 00:15:06,640 --> 00:15:11,280 Speaker 4: a nursery all day. That's pretty monkey, that's pretty monkey. 275 00:15:11,280 --> 00:15:12,760 Speaker 4: You just walk around with the watering can. 276 00:15:13,440 --> 00:15:19,360 Speaker 3: Yeah, monkey, robots, yeah, rainstorm, yeah yeah. 277 00:15:19,440 --> 00:15:21,360 Speaker 4: I remember my uncle saying to me when I was 278 00:15:21,440 --> 00:15:27,160 Speaker 4: grown up and semi successful, My uncle Carl said, uh, so, 279 00:15:27,280 --> 00:15:28,720 Speaker 4: when was the low point? 280 00:15:28,960 --> 00:15:30,920 Speaker 1: And I said, what he said? When was the low point? 281 00:15:30,960 --> 00:15:33,280 Speaker 1: He said, my low point was I was. I was. 282 00:15:33,440 --> 00:15:38,840 Speaker 4: I was working in a on cars and uh trains, 283 00:15:39,280 --> 00:15:41,760 Speaker 4: train cars, and I'd have to climb up on top 284 00:15:41,800 --> 00:15:43,280 Speaker 4: of these boxes. I forget what he had to do. 285 00:15:43,280 --> 00:15:44,760 Speaker 4: He had to be in the dark, up on top. 286 00:15:45,000 --> 00:15:46,400 Speaker 4: He said, that was my low point. What was your 287 00:15:46,440 --> 00:15:48,000 Speaker 4: low point? And I said, oh, okay, And then I 288 00:15:48,040 --> 00:15:50,760 Speaker 4: had to mention my couple, my short little area of 289 00:15:50,800 --> 00:15:52,960 Speaker 4: a couple of jobs. But I think his point was 290 00:15:53,000 --> 00:15:57,280 Speaker 4: everybody has that point where you're doing some really crappy 291 00:15:57,400 --> 00:15:59,480 Speaker 4: job and thinking I can do better than that, and 292 00:15:59,520 --> 00:16:02,080 Speaker 4: you either try harder to find a better job or 293 00:16:02,120 --> 00:16:04,680 Speaker 4: improve your situation by going to school or getting a 294 00:16:04,720 --> 00:16:05,960 Speaker 4: skill or something. 295 00:16:07,040 --> 00:16:09,160 Speaker 1: Yeah, Katie, low point. 296 00:16:09,080 --> 00:16:13,400 Speaker 5: Uh monkey job was having to stand in the milk 297 00:16:13,440 --> 00:16:15,880 Speaker 5: box at a grocery store and just push all of 298 00:16:15,880 --> 00:16:18,720 Speaker 5: the dairy forwards, so it was forward facing the customers. 299 00:16:19,160 --> 00:16:19,320 Speaker 1: Yeah. 300 00:16:19,360 --> 00:16:21,080 Speaker 5: I would make it fun though, because when a customer 301 00:16:21,080 --> 00:16:21,520 Speaker 5: would come. 302 00:16:21,440 --> 00:16:26,480 Speaker 1: By, go my god. 303 00:16:26,800 --> 00:16:30,160 Speaker 4: Yeah, fronting shelves, I've done that. That's a pretty monkey job. 304 00:16:30,200 --> 00:16:31,520 Speaker 4: I've done a lot of that myself. 305 00:16:32,880 --> 00:16:34,840 Speaker 3: Yeah, you know, I was thinking about the anxiety thing. 306 00:16:34,880 --> 00:16:37,480 Speaker 3: My low point actually a couple of good choices. But 307 00:16:37,960 --> 00:16:40,960 Speaker 3: when our job went sideways in Charlotte many years ago, 308 00:16:41,000 --> 00:16:46,960 Speaker 3: and I had two babies, and no, gig, I don't 309 00:16:47,440 --> 00:16:51,720 Speaker 3: I wasn't anxious. I was highly concerned. But I know 310 00:16:51,800 --> 00:16:54,920 Speaker 3: what anxiety is, and I know how that differs from 311 00:16:55,480 --> 00:16:58,200 Speaker 3: like a serious high level of concern. 312 00:16:59,840 --> 00:17:02,480 Speaker 1: And I don't know. 313 00:17:02,520 --> 00:17:05,760 Speaker 3: Maybe our generation is the perfect test case for what's 314 00:17:05,800 --> 00:17:11,520 Speaker 3: causing all the modern anxiety. And I firmly believe it's 315 00:17:11,600 --> 00:17:15,360 Speaker 3: screen oriented. There was its constant, never ending input were 316 00:17:15,400 --> 00:17:16,359 Speaker 3: not built for it. 317 00:17:16,640 --> 00:17:20,600 Speaker 1: Causation and what do you call that causation? Correlation? 318 00:17:20,800 --> 00:17:23,359 Speaker 4: Yeah, they don't always fit together like this, but there's 319 00:17:23,440 --> 00:17:25,360 Speaker 4: no doubt that these two things are true. There's more 320 00:17:25,400 --> 00:17:30,120 Speaker 4: anxiety now and the workplace is much softer now. Employers 321 00:17:30,160 --> 00:17:33,600 Speaker 4: were way harsher back in the day, and we had much, much, 322 00:17:33,680 --> 00:17:36,720 Speaker 4: much less anxiety doesn't mean those things go together at all, 323 00:17:36,800 --> 00:17:39,800 Speaker 4: but those two things are definitely true. 324 00:17:40,040 --> 00:17:43,680 Speaker 3: Yeah, it has a lot to do with expectation and experience, obviously, 325 00:17:43,920 --> 00:17:46,440 Speaker 3: the whole free range parenting thing. I mean you look 326 00:17:46,480 --> 00:17:49,040 Speaker 3: at a Gen X kid for instance. We had so 327 00:17:49,200 --> 00:17:54,160 Speaker 3: much freedom. We had run into frequently caused and then 328 00:17:54,280 --> 00:17:59,240 Speaker 3: cured so much trouble. Sobody, you know, getting lost, somebody 329 00:17:59,359 --> 00:18:02,040 Speaker 3: screwing up and getting yelled at and all it. We 330 00:18:02,080 --> 00:18:04,840 Speaker 3: had so much independence we came into adulthood with like 331 00:18:05,000 --> 00:18:05,679 Speaker 3: I can handle us. 332 00:18:06,440 --> 00:18:08,840 Speaker 1: That's an incredible gift to give a kid. 333 00:18:08,800 --> 00:18:11,280 Speaker 4: Or at the very least it wasn't your first encounter 334 00:18:11,600 --> 00:18:17,080 Speaker 4: with the slightest difficulty, right sure in the workplace, Yeah. 335 00:18:16,880 --> 00:18:17,960 Speaker 1: We got a lot more on the way. 336 00:18:18,040 --> 00:18:21,399 Speaker 6: Stay with us, Armstrong and Getty. 337 00:18:22,560 --> 00:18:25,560 Speaker 3: The focus of the investigation is is he connected to 338 00:18:25,640 --> 00:18:29,960 Speaker 3: others or a particular movement given the anti ICE literally 339 00:18:30,080 --> 00:18:32,800 Speaker 3: statement written on the bullet and the targeting. 340 00:18:33,160 --> 00:18:37,800 Speaker 4: Yeah, you're probably aware of this job who then killed himself, 341 00:18:37,840 --> 00:18:42,119 Speaker 4: who shot at ICE agents, not wounding any ICE agents 342 00:18:42,240 --> 00:18:47,240 Speaker 4: or killing anybody, thank god, Although he wounded some UH 343 00:18:47,560 --> 00:18:49,240 Speaker 4: immigrants that had been detained. 344 00:18:49,680 --> 00:18:51,480 Speaker 1: He killed at least one, right. 345 00:18:51,840 --> 00:18:57,240 Speaker 4: Yeah, yeah, but he had written anti ice on his bullets, 346 00:18:57,280 --> 00:19:00,960 Speaker 4: so that seems to be his Wow, it was his 347 00:19:01,240 --> 00:19:04,160 Speaker 4: motive at the time. The thing we wanted to get 348 00:19:04,200 --> 00:19:06,760 Speaker 4: into is Joe and I both came across this podcast 349 00:19:06,760 --> 00:19:09,000 Speaker 4: with an interview with the guy who's done extensive research 350 00:19:09,640 --> 00:19:12,440 Speaker 4: on the people that pull off these high profile shootings, 351 00:19:12,480 --> 00:19:15,359 Speaker 4: whether it's a school shooting, workplace shooting, at political attack, 352 00:19:15,480 --> 00:19:18,359 Speaker 4: or whatever. And one of the common threads, and this 353 00:19:18,400 --> 00:19:21,119 Speaker 4: isn't universal, nothing's universal, but one of the common threads 354 00:19:21,119 --> 00:19:24,960 Speaker 4: it seems to be is they're suicidal more than anything else. 355 00:19:25,880 --> 00:19:29,840 Speaker 4: You go back and you start researching their you start 356 00:19:29,880 --> 00:19:32,119 Speaker 4: looking at their Google searches or what they were saying 357 00:19:32,119 --> 00:19:36,480 Speaker 4: to friends. They were suicidal. Then they decided how to 358 00:19:36,560 --> 00:19:40,000 Speaker 4: make that suicide spectacular, whether it's going to school and 359 00:19:40,040 --> 00:19:43,359 Speaker 4: shooting people or picking a political target or whatever it is. 360 00:19:43,960 --> 00:19:46,720 Speaker 4: So the suicide is the point for a lot of 361 00:19:46,720 --> 00:19:48,600 Speaker 4: these people, and it certainly could be the case with 362 00:19:48,680 --> 00:19:51,800 Speaker 4: this person. This person wanted to die, was perfectly happy 363 00:19:51,800 --> 00:19:54,480 Speaker 4: with killing themselves for whatever reason, but they had to, 364 00:19:55,600 --> 00:19:58,560 Speaker 4: for weird psychology reasons, had to attach it to a 365 00:19:58,600 --> 00:20:01,680 Speaker 4: bigger cause to make it meaning full somehow, Well, and. 366 00:20:01,600 --> 00:20:04,800 Speaker 3: They want their death to be noted in people to 367 00:20:04,920 --> 00:20:07,959 Speaker 3: talk about it, partly because of the ever present desire 368 00:20:08,000 --> 00:20:11,080 Speaker 3: for fame among young people these days, or all of us. 369 00:20:11,040 --> 00:20:11,520 Speaker 1: I've had it. 370 00:20:11,800 --> 00:20:14,480 Speaker 4: I think we've all experienced a little bit of the 371 00:20:14,960 --> 00:20:18,080 Speaker 4: if I don't post this, it doesn't matter phenomenon. And 372 00:20:18,119 --> 00:20:20,800 Speaker 4: I resist it because it's sick, But just a little 373 00:20:20,840 --> 00:20:23,600 Speaker 4: bit of the Here I am at this beautiful education spot, 374 00:20:23,680 --> 00:20:26,959 Speaker 4: or here's my kid, you know, having their first whatever, 375 00:20:27,359 --> 00:20:30,480 Speaker 4: and you feel like I gotta post it or have 376 00:20:30,640 --> 00:20:32,720 Speaker 4: other people see it and like it for some reason, 377 00:20:32,720 --> 00:20:33,439 Speaker 4: it's weird. 378 00:20:33,680 --> 00:20:35,800 Speaker 1: Well, suicides have become the same sort of thing. 379 00:20:36,800 --> 00:20:39,080 Speaker 3: Yeah, this is going to sound perverse and sick, but 380 00:20:39,160 --> 00:20:41,360 Speaker 3: think about it for a minute. I want to kill 381 00:20:41,400 --> 00:20:43,520 Speaker 3: myself and I want to get lots and lots of 382 00:20:43,760 --> 00:20:47,159 Speaker 3: likes for it. In essence, and one of the ways 383 00:20:47,240 --> 00:20:50,040 Speaker 3: you raise the profile. I mean, you die alone in 384 00:20:50,080 --> 00:20:52,439 Speaker 3: your bathtub or whatever, it will be not noted by 385 00:20:52,480 --> 00:20:54,760 Speaker 3: anybody but those very close to you. If you can 386 00:20:54,840 --> 00:20:59,520 Speaker 3: take one to fifty people out with you, then your 387 00:20:59,560 --> 00:21:02,800 Speaker 3: suicide will be noted worldwide. 388 00:21:03,040 --> 00:21:06,960 Speaker 1: It's it's horrible, but it's true. 389 00:21:07,840 --> 00:21:07,919 Speaker 7: It. 390 00:21:08,600 --> 00:21:15,679 Speaker 4: Imagine how incredibly sad and lonely, A just by yourself 391 00:21:16,520 --> 00:21:22,440 Speaker 4: at your house suicide is right, and this guy knew 392 00:21:22,880 --> 00:21:25,440 Speaker 4: that he was going to be the president, would talk 393 00:21:25,480 --> 00:21:25,920 Speaker 4: about it. 394 00:21:25,920 --> 00:21:31,600 Speaker 3: It would make the national news by doing this. Yeah, yeah, 395 00:21:31,640 --> 00:21:33,160 Speaker 3: you know, it's funny. It just popped into my head. 396 00:21:33,200 --> 00:21:35,800 Speaker 3: One of the saddest song lyrics I think that's ever 397 00:21:35,840 --> 00:21:38,560 Speaker 3: been written by Paul McCartney in this case in eleanor 398 00:21:38,640 --> 00:21:41,520 Speaker 3: Rigby was about how she died along with her name, 399 00:21:41,560 --> 00:21:45,840 Speaker 3: and nobody came to the memorial service, which is what 400 00:21:45,880 --> 00:21:48,639 Speaker 3: people want to avoid now. The other aspect of what 401 00:21:48,720 --> 00:21:51,280 Speaker 3: this expert was talking about in the podcast Jack Reference 402 00:21:51,760 --> 00:21:55,399 Speaker 3: is that so many of these ideological shooters, and this 403 00:21:55,520 --> 00:21:59,080 Speaker 3: anti ice guy is a perfect example of this, they 404 00:21:59,119 --> 00:22:03,480 Speaker 3: didn't really have developed political opinions at all until like 405 00:22:03,720 --> 00:22:08,200 Speaker 3: really really recently, and they seem to be just looking 406 00:22:08,359 --> 00:22:12,359 Speaker 3: for something to tie their act of violence and death too. 407 00:22:13,119 --> 00:22:16,840 Speaker 3: They're often Johnnies come lately. They didn't spend years in 408 00:22:16,880 --> 00:22:22,239 Speaker 3: the trenches, you know, registering voters and writing speeches and 409 00:22:22,240 --> 00:22:25,800 Speaker 3: going to marches and you know all of that stuff. No, 410 00:22:25,920 --> 00:22:28,960 Speaker 3: they just they're like nobody knew him as political at all. 411 00:22:29,040 --> 00:22:31,960 Speaker 3: This twenty nine year old guy who shot into the 412 00:22:32,000 --> 00:22:34,040 Speaker 3: ice facility and for God's sake. 413 00:22:33,960 --> 00:22:36,480 Speaker 1: Killed some immigrants. 414 00:22:37,040 --> 00:22:39,400 Speaker 3: Several people who knew him since at least middle school 415 00:22:40,200 --> 00:22:42,159 Speaker 3: spoke their accounts being the picture of someone who was 416 00:22:42,560 --> 00:22:46,280 Speaker 3: with a vaguely libertarian bent, who despised both major parties 417 00:22:46,359 --> 00:22:49,600 Speaker 3: and politicians generally including Trump, but who didn't engage with 418 00:22:49,680 --> 00:22:53,080 Speaker 3: politics beyond that. He preferred edgy humor, video games, and 419 00:22:53,119 --> 00:22:56,119 Speaker 3: the message board four Chan, all of which he became 420 00:22:56,160 --> 00:22:59,440 Speaker 3: increasingly steeped in as he withdrew from social life as 421 00:22:59,480 --> 00:23:01,960 Speaker 3: well as his real friendships several years ago. 422 00:23:02,320 --> 00:23:04,640 Speaker 1: Yeah, I am. I'm pretty convinced that. 423 00:23:05,520 --> 00:23:11,119 Speaker 4: So the the scumbag who murdered Charlie Kirk, he didn't 424 00:23:11,200 --> 00:23:14,040 Speaker 4: kill himself and certainly didn't put in himself in a 425 00:23:14,080 --> 00:23:15,960 Speaker 4: situation where the cops would kill him. So that's a 426 00:23:16,119 --> 00:23:19,600 Speaker 4: different thing. But a lot of these, the ones where 427 00:23:19,640 --> 00:23:22,040 Speaker 4: they end up dead, That makes perfect sense to me 428 00:23:22,560 --> 00:23:25,520 Speaker 4: looking back at it over the years. The suicide was 429 00:23:25,560 --> 00:23:28,760 Speaker 4: the point. The anger at your classmates wasn't the point, 430 00:23:29,160 --> 00:23:32,480 Speaker 4: the you know, anger at your boss, your whatever it is. 431 00:23:32,560 --> 00:23:35,880 Speaker 1: You want to kill yourself and you needed it to be. 432 00:23:37,520 --> 00:23:41,480 Speaker 4: Somehow more meaningful, which is a sad sick state, which 433 00:23:41,840 --> 00:23:44,520 Speaker 4: makes it all the more important that we don't engage 434 00:23:44,560 --> 00:23:47,159 Speaker 4: in the sort of violent rhetoric that can give people 435 00:23:47,240 --> 00:23:50,960 Speaker 4: a target for their suicidal intentions. There's a poll out 436 00:23:51,000 --> 00:23:55,080 Speaker 4: like just now, that's heartening. This is a you gov poll, 437 00:23:55,240 --> 00:23:57,199 Speaker 4: much better news than the pole A lot of us 438 00:23:57,240 --> 00:24:01,359 Speaker 4: were citing a week or so ago. But do you 439 00:24:01,400 --> 00:24:02,920 Speaker 4: support It's a lot of it has to do with 440 00:24:02,960 --> 00:24:04,760 Speaker 4: how you ask the question, but it is do you 441 00:24:04,800 --> 00:24:06,200 Speaker 4: support partisan murder? 442 00:24:06,840 --> 00:24:07,520 Speaker 1: Nobody does? 443 00:24:08,240 --> 00:24:10,440 Speaker 4: You can call it nobody because it's less than one 444 00:24:10,480 --> 00:24:16,200 Speaker 4: percent of Democrats, Independents, Republicans overall, whoever you want to ask. 445 00:24:16,560 --> 00:24:21,359 Speaker 4: It's less than one percent support partisan murder. Happy to 446 00:24:21,400 --> 00:24:23,679 Speaker 4: see that, now pull it well. 447 00:24:23,800 --> 00:24:26,600 Speaker 3: That is an enormously different result than do you think 448 00:24:26,800 --> 00:24:29,200 Speaker 3: political violence is sometimes justified? 449 00:24:30,080 --> 00:24:30,359 Speaker 1: Yeah? 450 00:24:30,480 --> 00:24:33,800 Speaker 4: I don't know if it's because violence you're picturing something 451 00:24:33,840 --> 00:24:38,959 Speaker 4: short of murder or what? But yeah, how serious a 452 00:24:38,960 --> 00:24:40,600 Speaker 4: problem do you think political violence is? 453 00:24:40,600 --> 00:24:40,959 Speaker 1: Today? 454 00:24:41,640 --> 00:24:44,960 Speaker 4: Ninety three percent of us think it's somewhat or very serious, 455 00:24:45,040 --> 00:24:47,720 Speaker 4: So practically all of us think it's serious. If you 456 00:24:47,760 --> 00:24:51,000 Speaker 4: don't think it's serious, you are a nut job or something. 457 00:24:51,880 --> 00:24:55,040 Speaker 4: And finally, do you think the way people talk about 458 00:24:55,080 --> 00:25:00,560 Speaker 4: politics these days is contributing to violence eighty two percent. Yes, 459 00:25:00,760 --> 00:25:04,879 Speaker 4: the rest of you are wrong, especially given what we 460 00:25:05,000 --> 00:25:05,640 Speaker 4: just said. 461 00:25:06,200 --> 00:25:07,800 Speaker 1: People out there who are. 462 00:25:09,880 --> 00:25:14,840 Speaker 4: Suicidal ish, now you give them something to hang on 463 00:25:14,880 --> 00:25:19,320 Speaker 4: to with your This is you know, the new Hitler 464 00:25:19,440 --> 00:25:21,480 Speaker 4: or their Nazis or the worst thing that's ever happened 465 00:25:21,520 --> 00:25:23,480 Speaker 4: in the history of everything, right. 466 00:25:23,840 --> 00:25:26,680 Speaker 3: Which will get you more headlines and more likes, as 467 00:25:26,720 --> 00:25:30,600 Speaker 3: it were for your crime or your suicide. This getting 468 00:25:30,640 --> 00:25:34,320 Speaker 3: back to the anti Ice guy and this you know, 469 00:25:34,359 --> 00:25:35,840 Speaker 3: this is a bit of a winding road, but hang 470 00:25:35,920 --> 00:25:38,760 Speaker 3: with us. None of his former friends believed that the 471 00:25:38,800 --> 00:25:43,600 Speaker 3: anti Ice inscription could possibly be sincere feeling such a 472 00:25:43,600 --> 00:25:46,679 Speaker 3: serious political statement was anathema to who this guy was. 473 00:25:46,880 --> 00:25:50,680 Speaker 3: His humor was deeply ironic, often offensive, and aggressive to 474 00:25:50,760 --> 00:25:51,760 Speaker 3: the point of alienation. 475 00:25:52,200 --> 00:25:52,640 Speaker 1: Quote. 476 00:25:52,680 --> 00:25:56,120 Speaker 3: He was most certainly an edge lord, an irony guy. 477 00:25:56,160 --> 00:25:58,800 Speaker 3: You're familiar with the term edge lord. I'm not somebody 478 00:25:58,880 --> 00:26:02,240 Speaker 3: who shoots off their mouth with edgy like, nihilistic offensive 479 00:26:02,320 --> 00:26:05,679 Speaker 3: views on purpose. Asked about the inscription on the bullet, 480 00:26:05,680 --> 00:26:08,240 Speaker 3: a friend said, Josh was an edge lord who wanted 481 00:26:08,240 --> 00:26:10,240 Speaker 3: to get someone blamed. I think he tried his best 482 00:26:10,240 --> 00:26:13,800 Speaker 3: to write something goofy to rile people up. Another showed 483 00:26:13,840 --> 00:26:17,000 Speaker 3: him a Facebook post describing how this man young man 484 00:26:17,040 --> 00:26:21,840 Speaker 3: had flooded his friend's comments section with rape jokes. Really 485 00:26:22,000 --> 00:26:25,080 Speaker 3: really like to provoke people in kind of a nihilistic way, 486 00:26:26,200 --> 00:26:29,000 Speaker 3: and that reminds me of a piece in the Free 487 00:26:29,040 --> 00:26:30,960 Speaker 3: Press that I was going to get into at some point. 488 00:26:31,040 --> 00:26:35,480 Speaker 3: But of a nihilist is or do you say nihilist 489 00:26:36,200 --> 00:26:39,240 Speaker 3: is the best way to describe it. This online community 490 00:26:39,280 --> 00:26:43,960 Speaker 3: of mostly males who are so full of apathy and hate. 491 00:26:44,560 --> 00:26:49,760 Speaker 3: They just try to recruit people to this cynical, hateful attitude, 492 00:26:50,000 --> 00:26:52,960 Speaker 3: and as a hobby they try to convince people to 493 00:26:53,040 --> 00:26:57,200 Speaker 3: hurt themselves online, or they black blackmail lomb or try 494 00:26:57,240 --> 00:27:01,399 Speaker 3: to tempt them into suicide. And it's just yet another 495 00:27:01,440 --> 00:27:06,000 Speaker 3: example of that's a one in fifty thousand, twisted six 496 00:27:06,119 --> 00:27:09,440 Speaker 3: psychopath and if you go online you can find seven 497 00:27:09,520 --> 00:27:11,280 Speaker 3: hundred and fifty of them by this afternoon. 498 00:27:12,080 --> 00:27:17,879 Speaker 4: Yeah, once again, I don't know how humanity handles this 499 00:27:18,040 --> 00:27:21,840 Speaker 4: ability for all the craziest of us to all get 500 00:27:21,880 --> 00:27:25,000 Speaker 4: together and convince each other that they're part of a movement. 501 00:27:26,320 --> 00:27:30,800 Speaker 1: Right, Yeah, can humanity deal with the Internet? Well, I'll 502 00:27:30,800 --> 00:27:31,560 Speaker 1: tell you what I'm saying. 503 00:27:31,600 --> 00:27:35,119 Speaker 3: The answers No, But if humanity is my favorite football team, 504 00:27:35,400 --> 00:27:38,640 Speaker 3: we're down forty five nothing and I haven't seen any 505 00:27:38,760 --> 00:27:40,639 Speaker 3: real sign of us fighting back. 506 00:27:40,840 --> 00:27:41,560 Speaker 1: Wow. 507 00:27:42,119 --> 00:27:43,600 Speaker 4: I don't know if it landed the same way with 508 00:27:43,640 --> 00:27:45,560 Speaker 4: you all. But I will look at a lot of these, 509 00:27:46,640 --> 00:27:49,920 Speaker 4: all different kinds of shootings differently now that it makes 510 00:27:49,960 --> 00:27:52,679 Speaker 4: sense to me. This suicide was the point, and they 511 00:27:53,240 --> 00:27:59,120 Speaker 4: lately came to the reason, needing just right to make 512 00:27:59,200 --> 00:28:07,040 Speaker 4: their life their death not so incredibly nothing. Also, that 513 00:28:07,320 --> 00:28:12,520 Speaker 4: idea that people aren't upset about a cause because they've 514 00:28:12,560 --> 00:28:15,560 Speaker 4: been butting their banging their head against the wall of 515 00:28:16,480 --> 00:28:19,399 Speaker 4: immigration rules or divorce laws or whatever it is you 516 00:28:19,480 --> 00:28:22,560 Speaker 4: got for years, and you just finally snapped, that is 517 00:28:22,760 --> 00:28:25,880 Speaker 4: not at all what happens. 518 00:28:24,760 --> 00:28:27,280 Speaker 3: Right right, And just one more note, and then we 519 00:28:27,320 --> 00:28:31,800 Speaker 3: will give you the delicious dessert of humor, the idea 520 00:28:31,880 --> 00:28:35,920 Speaker 3: that I'm not an alienated sad sack who just decided 521 00:28:36,000 --> 00:28:39,600 Speaker 3: not to live anymore. I'm a brave revolutionary committing the 522 00:28:39,720 --> 00:28:44,480 Speaker 3: ultimate violation of human norms to make a point. I'm 523 00:28:44,480 --> 00:28:49,000 Speaker 3: an exciting, dangerous figure. How much going on in their heads, 524 00:28:49,120 --> 00:28:51,320 Speaker 3: and you can tell how much easier is that to swallow? 525 00:28:51,360 --> 00:28:54,160 Speaker 3: Then I'm just a sad person with no friends, alone 526 00:28:54,200 --> 00:28:54,840 Speaker 3: in their apartment. 527 00:28:54,920 --> 00:28:56,000 Speaker 1: Nobody will even notice. 528 00:28:56,360 --> 00:28:59,600 Speaker 3: I mean that's hard to swallow, right, indeed, wow, have 529 00:28:59,720 --> 00:29:01,200 Speaker 3: you well? Do we have transition music? 530 00:29:01,280 --> 00:29:01,640 Speaker 1: Bailable? 531 00:29:01,680 --> 00:29:04,840 Speaker 6: Could you do that for us? We got Cali Clutter 532 00:29:10,240 --> 00:29:11,680 Speaker 6: here we go heavy Man Heavy. 533 00:29:17,400 --> 00:29:21,120 Speaker 3: So this guy's name is Sean Farache Ferish Farash. He's 534 00:29:21,160 --> 00:29:23,360 Speaker 3: a Trump imitator. 535 00:29:23,400 --> 00:29:26,720 Speaker 1: It's clip number eleven. Michael enjoy Well. 536 00:29:26,760 --> 00:29:30,240 Speaker 7: It is my complete honor and privilege to make this endorsement. 537 00:29:30,320 --> 00:29:34,040 Speaker 1: You know, I've got along with very well with oxygen. 538 00:29:34,080 --> 00:29:36,000 Speaker 1: I call it air. We love to breathe. 539 00:29:36,040 --> 00:29:39,520 Speaker 7: It's a tremendous practice in and out. I went to 540 00:29:39,560 --> 00:29:42,600 Speaker 7: the doctor and my doctor looked at me. He said, sir, 541 00:29:43,480 --> 00:29:46,680 Speaker 7: you have the most beautiful lugs. They're so big, they're 542 00:29:46,720 --> 00:29:50,960 Speaker 7: so beautiful. They inflate, they deflate, they're wonderful. So I said, now, 543 00:29:50,960 --> 00:29:54,200 Speaker 7: it's a beautiful day to endorse oxygen. 544 00:29:54,280 --> 00:29:55,320 Speaker 1: We love breathing red. 545 00:29:56,040 --> 00:29:58,640 Speaker 7: And you have these stupid people on the left, very stupid, 546 00:29:59,240 --> 00:30:01,440 Speaker 7: very sick. He's a very sick people. You're not a 547 00:30:01,480 --> 00:30:04,560 Speaker 7: sick person, but they're very sick people, right, they're gonna 548 00:30:04,560 --> 00:30:06,840 Speaker 7: hear me say, oh, Donald Trump likes to breathe, you know, 549 00:30:06,920 --> 00:30:10,320 Speaker 7: Wills breathed Hitler, and they're gonna hold their breath. 550 00:30:10,520 --> 00:30:11,640 Speaker 1: And that's what we're hoping for. 551 00:30:11,720 --> 00:30:16,000 Speaker 7: We're looking at it. So we are endorsing air, big 552 00:30:16,200 --> 00:30:20,000 Speaker 7: beautiful clean air. Keep breathing that beautiful air. It's a 553 00:30:20,040 --> 00:30:22,360 Speaker 7: tremendous thing to do. Thank you so much. Thank you 554 00:30:22,440 --> 00:30:24,280 Speaker 7: for your attention to this meta Thank you. 555 00:30:24,680 --> 00:30:27,479 Speaker 1: That is a really good Trump impersonation. Yeah, it is. 556 00:30:27,720 --> 00:30:30,440 Speaker 1: In a funny bit. You will breathe the Hitler, so 557 00:30:30,480 --> 00:30:35,560 Speaker 1: people are holding their breath. Oh my god, that's funny. 558 00:30:36,240 --> 00:30:38,400 Speaker 4: Got to tell you about this smash and grab in 559 00:30:38,440 --> 00:30:40,760 Speaker 4: the San Francisco Bay area of a jewelry store while 560 00:30:40,800 --> 00:30:42,720 Speaker 4: the details on it or something. If you haven't seen 561 00:30:42,760 --> 00:30:44,760 Speaker 4: the video, we're gonna have it at Armstrong and geddy 562 00:30:44,800 --> 00:30:45,160 Speaker 4: dot com. 563 00:30:45,200 --> 00:30:48,960 Speaker 1: Stay tuned, hey, getdy. 564 00:30:49,920 --> 00:30:51,920 Speaker 5: Alright to a new report from the Wall Street Journal, 565 00:30:52,000 --> 00:30:55,560 Speaker 5: toxic fumes are leaking into airplanes and making passengers and 566 00:30:55,640 --> 00:30:56,320 Speaker 5: crews sick. 567 00:30:56,720 --> 00:30:57,400 Speaker 1: Though if you're. 568 00:30:57,240 --> 00:30:59,920 Speaker 4: Flying Spirit, they're happy to crack a window. 569 00:31:03,040 --> 00:31:04,200 Speaker 1: Poor Spirit Airline. 570 00:31:05,440 --> 00:31:08,440 Speaker 4: Around the country, you've probably seen videos of the smash 571 00:31:08,520 --> 00:31:11,960 Speaker 4: and grab crimes in California over the last couple of years. 572 00:31:12,120 --> 00:31:15,440 Speaker 1: When we smash, smash somash. 573 00:31:15,040 --> 00:31:18,880 Speaker 4: When we grab, we decriminalized crime and it just kind 574 00:31:18,920 --> 00:31:21,200 Speaker 4: of was a, you know, a nod to everybody that 575 00:31:21,480 --> 00:31:24,280 Speaker 4: it's free, rein to take whatever you want, anytime you want. 576 00:31:24,440 --> 00:31:26,880 Speaker 4: And some of these are really well orchestrated in a 577 00:31:26,920 --> 00:31:29,640 Speaker 4: high level, like these jewelry store smashing grabs, And there 578 00:31:29,680 --> 00:31:31,640 Speaker 4: was one the other day with a twist at the end. 579 00:31:31,640 --> 00:31:31,840 Speaker 1: Here. 580 00:31:32,080 --> 00:31:34,280 Speaker 4: This is slightly different than the ones you've heard about recently, 581 00:31:34,440 --> 00:31:40,480 Speaker 4: and the video is amazing. There's thirty dudes, thirty wild 582 00:31:40,600 --> 00:31:44,200 Speaker 4: video shows a huge mob of masked, black clad thiebs 583 00:31:44,240 --> 00:31:46,840 Speaker 4: storming a San Ramon that's the San Francisco Bay Area 584 00:31:46,920 --> 00:31:50,960 Speaker 4: jewelry store, making off with a million dollars in jewels 585 00:31:52,120 --> 00:31:53,240 Speaker 4: in just a couple of minutes. 586 00:31:53,600 --> 00:31:54,440 Speaker 1: Thirty crooks. 587 00:31:55,120 --> 00:31:58,040 Speaker 3: As they ran up to the store in broad daylight Monday, 588 00:31:59,560 --> 00:32:03,160 Speaker 3: they used crowbars and pickaxes to smash the display cases 589 00:32:03,200 --> 00:32:06,080 Speaker 3: and snatch jewelry, then shop their way out when a 590 00:32:06,120 --> 00:32:08,680 Speaker 3: security door automatically tried to lock them inside. 591 00:32:08,880 --> 00:32:10,520 Speaker 1: It was a glass door, so they just shot it. 592 00:32:11,360 --> 00:32:13,480 Speaker 4: When they went in, they just took over the store, 593 00:32:13,920 --> 00:32:15,560 Speaker 4: grabbed whatever jewelry was available. 594 00:32:17,880 --> 00:32:20,920 Speaker 1: I saw him pointing guns at the workers too. 595 00:32:21,240 --> 00:32:24,360 Speaker 4: The raid was likely planned days in advance, police said, 596 00:32:24,400 --> 00:32:28,600 Speaker 4: as the suspects arrived in six separate vehicles. That's some 597 00:32:28,680 --> 00:32:31,840 Speaker 4: coordination there, parked in the valet area one hundred feet 598 00:32:31,880 --> 00:32:34,640 Speaker 4: from the store, and then the thirty people ran in 599 00:32:34,720 --> 00:32:37,240 Speaker 4: and smashed it all up. But here's the different thing 600 00:32:37,240 --> 00:32:40,280 Speaker 4: that happened. Cops were able to get footage of the 601 00:32:40,320 --> 00:32:44,760 Speaker 4: suspects in their vehicles using a drone funded by an 602 00:32:44,880 --> 00:32:47,280 Speaker 4: organized retail theft grant. 603 00:32:47,840 --> 00:32:50,520 Speaker 1: So they got drones in the air, got all the. 604 00:32:50,520 --> 00:32:54,719 Speaker 4: Vehicles, what the vehicles look like, the license plates, you know, 605 00:32:54,760 --> 00:32:57,280 Speaker 4: they were all masked, but you got at least some 606 00:32:57,440 --> 00:33:00,000 Speaker 4: idea of what the people look like. They've already arrested 607 00:33:00,160 --> 00:33:04,560 Speaker 4: seven suspects because of the drone footage, so which will 608 00:33:04,680 --> 00:33:08,120 Speaker 4: lead them to the other suspects almost surrounding Yeah? 609 00:33:08,160 --> 00:33:11,440 Speaker 3: Probably, Uh, this is exactly what we were talking about 610 00:33:11,480 --> 00:33:15,040 Speaker 3: the other day, the upside of a surveillance state. 611 00:33:15,120 --> 00:33:17,520 Speaker 4: I was about to say that, yeah, you have a 612 00:33:17,520 --> 00:33:19,680 Speaker 4: surveillance state like they've already got in New York City 613 00:33:19,880 --> 00:33:23,640 Speaker 4: where everything is on camera all the time from multiple angles, 614 00:33:23,720 --> 00:33:27,360 Speaker 4: your face, your license plate, everything, and it's all coordinated 615 00:33:27,360 --> 00:33:30,920 Speaker 4: into various computers that compile it all together. It's kind 616 00:33:30,920 --> 00:33:33,920 Speaker 4: of like the social credit score thing they do in China. 617 00:33:33,920 --> 00:33:36,480 Speaker 4: They're doing in New York City. But anyway, the upside 618 00:33:36,560 --> 00:33:38,520 Speaker 4: is you're gonna catch these guys. 619 00:33:39,040 --> 00:33:39,240 Speaker 1: Right. 620 00:33:39,680 --> 00:33:42,600 Speaker 3: As a civil libertarian, what really interests me in troubles 621 00:33:42,640 --> 00:33:46,080 Speaker 3: me is the idea that maybe in the second half 622 00:33:46,120 --> 00:33:50,400 Speaker 3: of the twentieth century, this stuff seemed anathema. I was 623 00:33:50,480 --> 00:33:53,760 Speaker 3: disgusting the very idea of a surveillance state because it 624 00:33:53,800 --> 00:33:59,640 Speaker 3: wasn't needed. We had, you know, coherent laws, crime got punishment, 625 00:34:00,720 --> 00:34:04,480 Speaker 3: our morals are more raised as a society, we're pretty 626 00:34:04,560 --> 00:34:09,480 Speaker 3: unified against this sort of thing, and so we didn't 627 00:34:09,480 --> 00:34:12,520 Speaker 3: need it. But we've let the bad guys get worse 628 00:34:12,560 --> 00:34:15,640 Speaker 3: and worse and run rampant, and so now we need 629 00:34:15,680 --> 00:34:20,799 Speaker 3: to quote unquote need to enact these draconian surveillance. 630 00:34:20,520 --> 00:34:23,799 Speaker 4: And it's the history of the world. Emergencies lead to 631 00:34:27,280 --> 00:34:31,320 Speaker 4: crackdowns of various kinds, and they stay in place forever, 632 00:34:31,440 --> 00:34:33,800 Speaker 4: long past the emergency nine to eleven is how we 633 00:34:33,920 --> 00:34:36,840 Speaker 4: got license plate readers. I think nobody ever voted on 634 00:34:36,880 --> 00:34:39,600 Speaker 4: that It's never been an issue anywhere. Do we like 635 00:34:39,680 --> 00:34:41,840 Speaker 4: the idea of the government going around and reading license 636 00:34:41,840 --> 00:34:43,760 Speaker 4: plates so they know where your car is all the time. 637 00:34:44,000 --> 00:34:45,920 Speaker 1: No, but it happened. It just happened. 638 00:34:46,040 --> 00:34:47,880 Speaker 4: The point of the New York Times article about New 639 00:34:47,960 --> 00:34:50,360 Speaker 4: York as a surveillance state is none of this stuff 640 00:34:50,360 --> 00:34:51,880 Speaker 4: has been discussed or voted on. 641 00:34:51,880 --> 00:34:52,560 Speaker 1: None of it. 642 00:34:52,560 --> 00:34:57,360 Speaker 3: It just happened, just executive fiat and yeah, a little 643 00:34:57,360 --> 00:34:59,880 Speaker 3: by little with each and every emergency, and you got 644 00:34:59,920 --> 00:35:02,200 Speaker 3: to smash and grab emergencies. Okay, let's get a drone 645 00:35:02,200 --> 00:35:05,080 Speaker 3: in the air, so now everybody's tracked all the time. 646 00:35:05,400 --> 00:35:07,760 Speaker 1: I can show your soul's desire for freedom. 647 00:35:07,920 --> 00:35:11,680 Speaker 3: That's a good idea, Thank you Chinese drone lady. It's 648 00:35:11,680 --> 00:35:12,800 Speaker 3: a fine suggestion. 649 00:35:14,000 --> 00:35:16,279 Speaker 4: This will come back to bite us at some point, though, 650 00:35:16,920 --> 00:35:19,719 Speaker 4: when whoever decides, you know, the Tea Party, they're a 651 00:35:19,840 --> 00:35:22,239 Speaker 4: dangerous group. We better keep an eye on where they go. 652 00:35:24,000 --> 00:35:27,480 Speaker 4: Oh yeah, for whatever political reason. Yeah, that reminds me, 653 00:35:27,560 --> 00:35:30,200 Speaker 4: maybe we can pay this off next hour. A long 654 00:35:30,360 --> 00:35:35,760 Speaker 4: list of prominent Democrats who made the Jimmy Kimmel incident 655 00:35:35,840 --> 00:35:39,760 Speaker 4: look like you know, paddy cake in terms of government 656 00:35:39,880 --> 00:35:43,759 Speaker 4: pressure and censorship. They were fully in favor of it, 657 00:35:44,200 --> 00:35:48,400 Speaker 4: proudly in favor of it, about five minutes ago, and 658 00:35:48,440 --> 00:35:50,880 Speaker 4: now they're beating their chests and tearing their garments and 659 00:35:50,920 --> 00:35:54,600 Speaker 4: saying how it's terrible and then threatens the constitution. Good Lord, 660 00:35:54,680 --> 00:35:57,000 Speaker 4: you can't be cynical enough these days. We'll have to 661 00:35:57,040 --> 00:35:59,600 Speaker 4: delve into this breaking news that Amazon has reached and 662 00:35:59,719 --> 00:36:03,680 Speaker 4: his historic two point five billion dollar settlement with the 663 00:36:03,760 --> 00:36:08,080 Speaker 4: FTC because they had been tricking people into signing up 664 00:36:08,120 --> 00:36:11,600 Speaker 4: for their Prime memberships. Oh, that's the biggest settlement ever. 665 00:36:11,719 --> 00:36:13,440 Speaker 4: So I want to know more of the details on that. 666 00:36:13,440 --> 00:36:15,240 Speaker 4: Did I get tricked? I have a Prime membership? 667 00:36:15,280 --> 00:36:17,960 Speaker 3: Maybe i've been Plus, will profile the twenty nine year 668 00:36:18,000 --> 00:36:21,960 Speaker 3: old woman who's the world's most famous bagpiper. No, no, 669 00:36:22,080 --> 00:36:25,319 Speaker 3: we won't, but she is. I'll bet I know who 670 00:36:25,360 --> 00:36:26,919 Speaker 3: she is. I think I've seen her on YouTube videos. 671 00:36:26,920 --> 00:36:30,640 Speaker 3: I'm probably playing freebird. Yeah yeah, well, sir. 672 00:36:30,800 --> 00:36:31,200 Speaker 1: Interesting. 673 00:36:31,360 --> 00:36:33,160 Speaker 3: If you missed a segment of the podcast Armstrong and 674 00:36:33,239 --> 00:36:38,760 Speaker 3: Getty on demand, much mortecon Armstrong and Getty