1 00:00:00,280 --> 00:00:03,000 Speaker 1: The cost of living is up, paychecks are not and 2 00:00:03,120 --> 00:00:07,920 Speaker 1: workers are not okay, Are you okay? Four and ten 3 00:00:08,400 --> 00:00:11,920 Speaker 1: say their income has not kept pace with living expenses, 4 00:00:12,520 --> 00:00:16,160 Speaker 1: even with raises or a cost of living adjustment. Only 5 00:00:16,200 --> 00:00:19,880 Speaker 1: one in five received a pay increase above inflation in 6 00:00:19,920 --> 00:00:23,200 Speaker 1: the past year, and about one in three say their 7 00:00:23,320 --> 00:00:26,960 Speaker 1: pay is not keeping pace with the rising cost of things. 8 00:00:27,080 --> 00:00:29,680 Speaker 2: Yeah, and actually the truth is even worse than that, 9 00:00:29,840 --> 00:00:32,199 Speaker 2: because four and ten might have not gotten you know, it, 10 00:00:32,560 --> 00:00:34,960 Speaker 2: might not be seeing their wages keep up with inflation 11 00:00:35,400 --> 00:00:38,400 Speaker 2: in the last year or two years, during the time 12 00:00:38,440 --> 00:00:42,440 Speaker 2: when inflation has been fairly under control around three percent, 13 00:00:42,479 --> 00:00:44,720 Speaker 2: which is what the Federal Reserve targets. But if you 14 00:00:44,760 --> 00:00:48,040 Speaker 2: go back four five years, hey, remember inflation was nine percent, 15 00:00:48,200 --> 00:00:51,320 Speaker 2: eight percent, seven percent. Nobody was getting eight and seven 16 00:00:51,360 --> 00:00:53,479 Speaker 2: and nine percent raises back then. So if you look 17 00:00:53,520 --> 00:00:56,160 Speaker 2: at the last four or five years, the cost of 18 00:00:56,200 --> 00:00:59,480 Speaker 2: everything has gone up about thirty five percent. You can't 19 00:00:59,520 --> 00:01:02,400 Speaker 2: sit here say that even a fraction of this country's 20 00:01:02,480 --> 00:01:04,600 Speaker 2: economy and the people that work for a living have 21 00:01:04,720 --> 00:01:06,600 Speaker 2: had their wages go up thirty five percent. 22 00:01:06,640 --> 00:01:09,200 Speaker 1: A lot of the sources of stress come from housing, 23 00:01:09,400 --> 00:01:13,959 Speaker 1: rent or mortgage obviously groceries and healthcare, and what are 24 00:01:14,040 --> 00:01:17,880 Speaker 1: people doing about it? They're relying more and more on 25 00:01:17,920 --> 00:01:21,520 Speaker 1: social media for support and advice. I see that a 26 00:01:21,600 --> 00:01:25,800 Speaker 1: lot on social media, people asking questions or putting out 27 00:01:26,240 --> 00:01:30,360 Speaker 1: answers of what you should say at a job interview 28 00:01:30,640 --> 00:01:33,240 Speaker 1: to make you sound not desperate but smart. 29 00:01:33,360 --> 00:01:36,480 Speaker 2: Yeah, and there's a lot more financial advice on social media, 30 00:01:36,600 --> 00:01:39,160 Speaker 2: especially YouTube, than we've ever seen before. Guys like Dave 31 00:01:39,240 --> 00:01:41,399 Speaker 2: Ramsey have always been popular. He's as big as it's 32 00:01:41,440 --> 00:01:43,520 Speaker 2: ever been, but there have been, you know, newer shows 33 00:01:43,520 --> 00:01:46,520 Speaker 2: like Caleb Hammer who has just got this incredibly popular 34 00:01:46,560 --> 00:01:50,160 Speaker 2: YouTube show where he helps people with their finances. Look, 35 00:01:50,200 --> 00:01:52,280 Speaker 2: this economy and this isn't the beginning of it, but 36 00:01:52,320 --> 00:01:54,600 Speaker 2: it's certainly definitely that way now more. 37 00:01:54,440 --> 00:01:55,760 Speaker 3: Than it was five or ten years ago. 38 00:01:55,840 --> 00:01:58,400 Speaker 2: The economy is set up to where if you own assets, 39 00:01:58,760 --> 00:02:01,200 Speaker 2: you're doing great. You own stuff, you own a home, 40 00:02:01,280 --> 00:02:04,240 Speaker 2: maybe you own a small business, you're doing great because 41 00:02:04,240 --> 00:02:07,160 Speaker 2: you're seeing big wealth games. But for people where the 42 00:02:07,200 --> 00:02:10,960 Speaker 2: majority of their wealth is derived from their income from 43 00:02:10,960 --> 00:02:14,120 Speaker 2: going to a job, they're seeing their purchasing power just 44 00:02:14,160 --> 00:02:15,600 Speaker 2: get absolutely crushed. 45 00:02:15,840 --> 00:02:19,120 Speaker 1: So what are employees looking for the number one thing. 46 00:02:19,160 --> 00:02:23,240 Speaker 1: They want healthcare premiums fully paid by their employer. Fifty 47 00:02:23,240 --> 00:02:26,639 Speaker 1: percent of people are requesting this. They also want financial 48 00:02:26,680 --> 00:02:31,040 Speaker 1: support and wellness perks like a health or wellness stipend. 49 00:02:31,520 --> 00:02:33,639 Speaker 4: They also want a four oh one K match. Boy, 50 00:02:33,680 --> 00:02:36,040 Speaker 4: those went out the window, didn't they. Yeah, they used 51 00:02:36,040 --> 00:02:36,520 Speaker 4: to be a thing. 52 00:02:36,760 --> 00:02:38,880 Speaker 2: Yeah, some companies it still is a thing, or they 53 00:02:38,880 --> 00:02:41,600 Speaker 2: brought them back. But many companies during COVID, when you 54 00:02:41,639 --> 00:02:44,360 Speaker 2: know the economy was cretering, they got rid of the 55 00:02:44,400 --> 00:02:46,079 Speaker 2: match for their four oh one K, and a lot 56 00:02:46,080 --> 00:02:47,880 Speaker 2: of those companies never brought it back. 57 00:02:47,960 --> 00:02:51,800 Speaker 1: Another thing people are looking for when requested when looking 58 00:02:51,840 --> 00:02:54,160 Speaker 1: for employment unlimited PTO. 59 00:02:54,720 --> 00:02:57,639 Speaker 3: That is, let me give you a little tip here. 60 00:02:58,760 --> 00:03:03,240 Speaker 2: It sounds good, It sounds fantastic, It sounds wonderful. And 61 00:03:03,320 --> 00:03:06,080 Speaker 2: I used to work for a company that offered unlimited PTO. 62 00:03:06,200 --> 00:03:08,680 Speaker 2: It is the worst thing for the employee that that 63 00:03:08,760 --> 00:03:09,239 Speaker 2: couldn't happen. 64 00:03:09,320 --> 00:03:10,760 Speaker 4: Why is it sounds great? 65 00:03:10,880 --> 00:03:15,040 Speaker 2: Well, there's two things. Unlimited It sounds great, but now 66 00:03:16,040 --> 00:03:18,040 Speaker 2: you have to as an employee if I've worked for 67 00:03:18,200 --> 00:03:22,280 Speaker 2: justany absolutely, I have to. And now you know that 68 00:03:22,320 --> 00:03:26,000 Speaker 2: you're being judged by all your fellow other employees based 69 00:03:26,040 --> 00:03:29,120 Speaker 2: on how much time they take off as well. So 70 00:03:29,520 --> 00:03:32,280 Speaker 2: if you're somebody that takes full advantage of that unlimited 71 00:03:32,280 --> 00:03:34,560 Speaker 2: PTO and you're taking a ton of time off and 72 00:03:34,600 --> 00:03:36,760 Speaker 2: all the employees around you that are at your level 73 00:03:36,760 --> 00:03:39,440 Speaker 2: are taking a lot less time off, you better believe 74 00:03:39,480 --> 00:03:42,600 Speaker 2: that the ownership and that the bosses of that company notice. 75 00:03:42,280 --> 00:03:44,040 Speaker 4: That, right, and you're going to be looking at you. 76 00:03:44,240 --> 00:03:46,080 Speaker 2: But then also you hear reports that a lot of 77 00:03:46,080 --> 00:03:47,520 Speaker 2: people feel more guilty when they. 78 00:03:47,400 --> 00:03:50,520 Speaker 5: Say they don't take any time absolutely, so a lot 79 00:03:50,520 --> 00:03:52,360 Speaker 5: of the data that we're seeing is that companies that 80 00:03:52,400 --> 00:03:55,800 Speaker 5: have made the switch to unlimited PTO employees are taking 81 00:03:56,040 --> 00:03:58,040 Speaker 5: less time off than they. 82 00:03:57,960 --> 00:04:00,680 Speaker 2: Used to when you had a specific number of days PTO. 83 00:04:00,840 --> 00:04:03,280 Speaker 2: But here's really the big reason why a lot of 84 00:04:03,320 --> 00:04:06,520 Speaker 2: companies are moving toward this is that typically a lot 85 00:04:06,600 --> 00:04:08,840 Speaker 2: of companies have a policy and there's even some states 86 00:04:08,840 --> 00:04:11,280 Speaker 2: that have certain laws around this that they when you 87 00:04:11,400 --> 00:04:13,960 Speaker 2: leave that job, they have to pay out your balance 88 00:04:13,960 --> 00:04:16,880 Speaker 2: of your PTO. So if you've got fifteen days of 89 00:04:16,960 --> 00:04:19,279 Speaker 2: PTO left this year and you quit your job or 90 00:04:19,279 --> 00:04:21,400 Speaker 2: you get fired from your job, a lot of states 91 00:04:21,400 --> 00:04:22,840 Speaker 2: and a lot of companies have policies to where you 92 00:04:22,880 --> 00:04:25,760 Speaker 2: get paid out for those fifteen days with unlimited PTO 93 00:04:26,120 --> 00:04:27,440 Speaker 2: that company owes you. 94 00:04:27,839 --> 00:04:31,080 Speaker 4: Nothing, oh zero for them to save money. 95 00:04:31,120 --> 00:04:35,120 Speaker 2: This has been a marketing con job that has been 96 00:04:35,160 --> 00:04:38,560 Speaker 2: forced upon the American public by these corporations that are 97 00:04:38,560 --> 00:04:42,159 Speaker 2: doing it because unlimited PTO sounds like this wonderful thing, 98 00:04:42,480 --> 00:04:44,520 Speaker 2: and for nine out of ten employees, when it comes 99 00:04:44,560 --> 00:04:47,240 Speaker 2: down to actual practice, it is much much worse for you. 100 00:04:47,560 --> 00:04:49,240 Speaker 1: It sounds like a good deal, but at the end 101 00:04:49,279 --> 00:04:52,160 Speaker 1: of the day, maybe not so much. So many companies 102 00:04:52,200 --> 00:04:55,479 Speaker 1: go from you get vacation days to sick time and 103 00:04:55,560 --> 00:04:57,239 Speaker 1: it's just all under one umbrella. 104 00:04:57,480 --> 00:04:58,800 Speaker 3: Yeah, paid time off. Yeah. 105 00:04:58,800 --> 00:05:00,520 Speaker 2: Although there are still companies out there where you've got 106 00:05:00,560 --> 00:05:03,400 Speaker 2: a specific bank of vacation days and then a separate 107 00:05:03,640 --> 00:05:06,760 Speaker 2: specific bank of sick days, but those companies are becoming 108 00:05:06,760 --> 00:05:08,640 Speaker 2: fewer and fewer, and a lot of these companies in 109 00:05:08,640 --> 00:05:11,000 Speaker 2: the last ten years move toward a set number of 110 00:05:11,080 --> 00:05:12,760 Speaker 2: PTO days where they kind of roll. 111 00:05:12,640 --> 00:05:13,599 Speaker 3: Those all up into one. 112 00:05:13,800 --> 00:05:15,520 Speaker 2: But now more and more companies are going to this 113 00:05:15,640 --> 00:05:18,960 Speaker 2: unlimited PTO policy, and it sounds good on paper, but 114 00:05:19,120 --> 00:05:21,440 Speaker 2: what we've seen so far is that the practical reality 115 00:05:21,480 --> 00:05:23,400 Speaker 2: of it is it's generally worse for employees. 116 00:05:23,400 --> 00:05:27,000 Speaker 1: How many people struggle to get to doctor's appointments because 117 00:05:27,120 --> 00:05:30,039 Speaker 1: obviously the doctor's available in the morning, and well, you 118 00:05:30,160 --> 00:05:31,560 Speaker 1: have to be at work in the morning. 119 00:05:31,640 --> 00:05:32,520 Speaker 4: I'm something that I. 120 00:05:32,560 --> 00:05:36,000 Speaker 1: Learned from my brother that I wasn't aware of makes 121 00:05:36,200 --> 00:05:37,000 Speaker 1: complete sense. 122 00:05:37,120 --> 00:05:38,440 Speaker 4: I guess when you think about. 123 00:05:38,240 --> 00:05:42,640 Speaker 1: It, is in the military, they get that time that's 124 00:05:42,720 --> 00:05:46,039 Speaker 1: not considered time off or it's not you know, they're 125 00:05:46,080 --> 00:05:48,799 Speaker 1: not shaven an hour to go to the doctor because 126 00:05:49,360 --> 00:05:51,000 Speaker 1: that's part of the job to be ready. 127 00:05:51,120 --> 00:05:52,680 Speaker 3: They want you to go to the doctor. If you 128 00:05:52,720 --> 00:05:54,119 Speaker 3: need to go to the doctor, go to the doctor. 129 00:05:54,120 --> 00:05:55,839 Speaker 2: And we're not going to you know, you know, docu 130 00:05:56,000 --> 00:05:59,360 Speaker 2: is leave or time off because of that. Again, it's 131 00:05:59,400 --> 00:06:02,400 Speaker 2: because of the specific job the military has. They need 132 00:06:02,440 --> 00:06:05,480 Speaker 2: to be as physically fit and in fighting shape every 133 00:06:05,560 --> 00:06:08,040 Speaker 2: day of the week as much as they possibly can. So, yeah, 134 00:06:08,040 --> 00:06:11,680 Speaker 2: the military encourages you go to the doctor, get your 135 00:06:11,680 --> 00:06:12,880 Speaker 2: body in tip top shape, and. 136 00:06:13,000 --> 00:06:14,360 Speaker 3: You're not going to be part of your work. Yeah, 137 00:06:14,400 --> 00:06:15,800 Speaker 3: you're not gonna have to take any time off for 138 00:06:15,839 --> 00:06:16,440 Speaker 3: it whatsoever. 139 00:06:16,640 --> 00:06:20,600 Speaker 1: I wish more people would consider that, Hey, just yeah, 140 00:06:20,839 --> 00:06:21,560 Speaker 1: just take the time. 141 00:06:21,640 --> 00:06:23,400 Speaker 4: Well, if it pay you to go. We want you 142 00:06:23,480 --> 00:06:25,080 Speaker 4: healthy if you get more productive. 143 00:06:25,160 --> 00:06:27,720 Speaker 2: If you have a job where the primary duty of 144 00:06:27,760 --> 00:06:30,680 Speaker 2: your job is your physical being and strength and health, 145 00:06:31,000 --> 00:06:32,720 Speaker 2: then yeah, that can be the case. So maybe in 146 00:06:32,760 --> 00:06:36,760 Speaker 2: the NFL professional athletes, you know, that could be the case. 147 00:06:36,839 --> 00:06:38,760 Speaker 2: The military, that could be the case. If you're sitting 148 00:06:38,800 --> 00:06:39,880 Speaker 2: at a desk all day long. 149 00:06:40,120 --> 00:06:41,120 Speaker 4: M not so much. 150 00:06:41,160 --> 00:06:41,760 Speaker 3: Probably not so right. 151 00:06:41,760 --> 00:06:43,120 Speaker 1: I had a job once where they paid me to 152 00:06:43,160 --> 00:06:45,640 Speaker 1: get my hair done. Yeah, that was part of it. 153 00:06:45,720 --> 00:06:46,760 Speaker 1: That was a TV job. 154 00:06:46,800 --> 00:06:48,719 Speaker 2: That's because you were on TV every single day, and 155 00:06:48,800 --> 00:06:50,320 Speaker 2: so the way you looked in your appearance. 156 00:06:50,600 --> 00:06:51,719 Speaker 3: But that's another great example. 157 00:06:51,920 --> 00:06:54,800 Speaker 2: The primary or one of the primary characteristics of being 158 00:06:54,839 --> 00:06:57,040 Speaker 2: on television like you were, was looking good. 159 00:06:57,360 --> 00:06:59,000 Speaker 3: And so your company looking. 160 00:06:58,800 --> 00:06:59,679 Speaker 4: As best as you could. 161 00:07:00,440 --> 00:07:01,960 Speaker 3: But your company, what God gave you. 162 00:07:02,000 --> 00:07:04,599 Speaker 2: Is going to make accommodations to make sure you look 163 00:07:04,600 --> 00:07:06,400 Speaker 2: as good as possible. And so yeah, when you went 164 00:07:06,440 --> 00:07:09,240 Speaker 2: and got your hair did, the company was like, yeah, 165 00:07:09,279 --> 00:07:10,400 Speaker 2: you don't have to take time off for that. 166 00:07:10,640 --> 00:07:12,000 Speaker 4: Yeah, it's part of the gigah. 167 00:07:12,160 --> 00:07:15,160 Speaker 1: Another thing that employees would like their employers to help 168 00:07:15,200 --> 00:07:18,880 Speaker 1: pay for is student loan repayment. They also would like 169 00:07:19,680 --> 00:07:24,080 Speaker 1: free childcare on site and twenty two percent want free 170 00:07:24,120 --> 00:07:25,240 Speaker 1: food at work. 171 00:07:25,760 --> 00:07:27,960 Speaker 2: This is a wonderful wish list. It's like right in 172 00:07:28,000 --> 00:07:31,400 Speaker 2: your your list for Santa Claus. Yeah, fifty percent want 173 00:07:31,560 --> 00:07:35,040 Speaker 2: the employer to pay one hundred percent of health insurance 174 00:07:35,080 --> 00:07:37,640 Speaker 2: costs and twenty percent want my employer to pay food. 175 00:07:37,880 --> 00:07:39,520 Speaker 3: Yeah, I want all of those things too. 176 00:07:39,640 --> 00:07:42,080 Speaker 2: But the number of companies that are doing that, because 177 00:07:42,080 --> 00:07:44,000 Speaker 2: that used to be kind of a core tenet of 178 00:07:44,240 --> 00:07:46,680 Speaker 2: the tech culture in Silicon Valley is you get all 179 00:07:46,720 --> 00:07:49,720 Speaker 2: these incredible, wonderful benefits, and we have chefs here that 180 00:07:49,760 --> 00:07:53,120 Speaker 2: are making three meals a day for our employees. That 181 00:07:53,240 --> 00:07:55,760 Speaker 2: is fading away very quickly. Even in Silicon Valley. 182 00:07:56,040 --> 00:07:59,000 Speaker 1: They say a lot of workers are hesitating to change 183 00:07:59,080 --> 00:08:01,800 Speaker 1: jobs now, and that is because of insecurity and they 184 00:08:01,840 --> 00:08:07,640 Speaker 1: also feel that they have limited negotiating power for higher pay. Okay, 185 00:08:07,800 --> 00:08:12,160 Speaker 1: speaking of higher pay, Yeah, how much has. 186 00:08:12,160 --> 00:08:13,720 Speaker 4: This storm cost? 187 00:08:14,800 --> 00:08:18,880 Speaker 1: Normally, when you think of weather event costing money, you 188 00:08:18,920 --> 00:08:22,200 Speaker 1: think of hurricanes, right, the cost tropical. 189 00:08:21,840 --> 00:08:24,640 Speaker 2: Storm, the cost to rebuild an area, or a tornado 190 00:08:24,720 --> 00:08:26,960 Speaker 2: comes through and does a lot of damage in a town. 191 00:08:26,960 --> 00:08:31,640 Speaker 2: There's obviously a fixed cost to rebuild those buildings and structures. 192 00:08:31,240 --> 00:08:35,840 Speaker 1: Acuweather estimated that this winter storm has cost the nation 193 00:08:36,120 --> 00:08:38,679 Speaker 1: between one hundred and five and one hundred and fifteen 194 00:08:38,840 --> 00:08:39,880 Speaker 1: billion dollars. 195 00:08:40,080 --> 00:08:43,280 Speaker 2: Now they I looked into this and that's that's it 196 00:08:43,320 --> 00:08:45,560 Speaker 2: seems like that's a high. It's a bit of a 197 00:08:45,679 --> 00:08:48,840 Speaker 2: stretch to me because they're they're saying that, you know, 198 00:08:48,960 --> 00:08:52,280 Speaker 2: they're lumping lost productivity from employees that didn't go to 199 00:08:52,320 --> 00:08:55,440 Speaker 2: work over the weekend or on Monday. And you know, 200 00:08:55,520 --> 00:08:58,560 Speaker 2: think about this. You know, Americans, based on our savings 201 00:08:58,640 --> 00:09:00,760 Speaker 2: rate in this country, we don't do much of it 202 00:09:00,800 --> 00:09:02,040 Speaker 2: and we love to spend money. 203 00:09:02,080 --> 00:09:04,439 Speaker 3: So if you sit and look at, okay. 204 00:09:04,320 --> 00:09:07,600 Speaker 2: All the flights that were canceled over the last several days, well, 205 00:09:07,679 --> 00:09:09,800 Speaker 2: that's a lot of lost revenue for those airlines. 206 00:09:10,200 --> 00:09:12,040 Speaker 4: But you all, well, you. 207 00:09:12,000 --> 00:09:16,680 Speaker 1: Have business closures, you have transportation and supply chain disruptions. 208 00:09:16,760 --> 00:09:21,760 Speaker 1: You also have the cost of emergency response, which there 209 00:09:21,840 --> 00:09:24,320 Speaker 1: has been a lot of that. But you think about 210 00:09:24,840 --> 00:09:28,240 Speaker 1: it's not all economic loss because you do have some 211 00:09:28,320 --> 00:09:31,839 Speaker 1: stores selling items like salt and snowshovels. 212 00:09:31,960 --> 00:09:34,240 Speaker 3: Grocery stores had a banner weekend. 213 00:09:33,920 --> 00:09:36,000 Speaker 1: But that's going to be less than the cost of say, 214 00:09:36,240 --> 00:09:37,559 Speaker 1: an airline ticket, right. 215 00:09:37,600 --> 00:09:39,760 Speaker 2: But my point in this is if I had booked 216 00:09:39,760 --> 00:09:41,880 Speaker 2: a flight to go somewhere and it cost me three 217 00:09:41,960 --> 00:09:44,880 Speaker 2: hundred dollars and that flight got canceled, so the airline 218 00:09:44,880 --> 00:09:47,360 Speaker 2: didn't get my three hundred dollars, somebody else is getting 219 00:09:47,360 --> 00:09:49,000 Speaker 2: my three hundred dollars. I'm going to spend it on 220 00:09:49,080 --> 00:09:52,480 Speaker 2: something else somewhere. So I'm always skeptical when you see 221 00:09:52,640 --> 00:09:55,400 Speaker 2: stories like this where it's a two hundred billion dollar 222 00:09:55,480 --> 00:09:57,120 Speaker 2: loss because of this winter storm. 223 00:09:57,280 --> 00:09:58,439 Speaker 3: Yeah, I'm sure you can. 224 00:09:59,280 --> 00:10:01,880 Speaker 5: It is a loss position, not that much position the 225 00:10:01,880 --> 00:10:02,520 Speaker 5: figures to wear. 226 00:10:02,600 --> 00:10:04,760 Speaker 2: Yeah, okay, you could say that way. But a lot 227 00:10:04,760 --> 00:10:06,560 Speaker 2: of that money that didn't get spent over the last 228 00:10:06,559 --> 00:10:08,600 Speaker 2: few days for the storm is going to get spent 229 00:10:08,640 --> 00:10:09,240 Speaker 2: on other things. 230 00:10:09,320 --> 00:10:11,760 Speaker 4: You spent nearly three hundred dollars on milk duds. 231 00:10:12,400 --> 00:10:14,480 Speaker 3: Come on, it wasn't on snacks. 232 00:10:14,559 --> 00:10:17,160 Speaker 2: Maybe, Yeah, I borderline three hundred dollars when I cleared 233 00:10:17,160 --> 00:10:19,560 Speaker 2: out all the all the chips in the candy aisle 234 00:10:19,600 --> 00:10:21,760 Speaker 2: and on Friday afternoon so that we could hunker down 235 00:10:21,800 --> 00:10:22,480 Speaker 2: over the weekend. 236 00:10:22,520 --> 00:10:24,400 Speaker 1: Sure, yeah, that's where you spent all your Well, the 237 00:10:24,440 --> 00:10:27,360 Speaker 1: cost of groceries has gone up, Okay, let's talk about 238 00:10:27,400 --> 00:10:28,199 Speaker 1: the cost. 239 00:10:27,880 --> 00:10:28,960 Speaker 4: Of gold and silver. 240 00:10:29,400 --> 00:10:33,040 Speaker 1: Speaking of going up, Holy moly, it's at record highs. 241 00:10:33,360 --> 00:10:35,080 Speaker 2: Yeah, So as I'm looking at the chart right now, 242 00:10:35,160 --> 00:10:37,280 Speaker 2: as of right now, the cost of gold is five 243 00:10:37,760 --> 00:10:40,559 Speaker 2: one hundred and twenty dollars an ounce. A year ago, 244 00:10:41,440 --> 00:10:43,959 Speaker 2: the cost of gold was two hundred and seventy five dollars. 245 00:10:44,240 --> 00:10:47,040 Speaker 4: Where's it it? It was two seventy five a year ago, 246 00:10:47,480 --> 00:10:48,440 Speaker 4: and where's it at now. 247 00:10:49,679 --> 00:10:52,640 Speaker 2: And twenty eight it's up eighty Gold is up eighty 248 00:10:52,760 --> 00:10:55,920 Speaker 2: five percent in the last three hundred and sixty five days. 249 00:10:55,960 --> 00:10:58,719 Speaker 2: And you've got to keep in mind precious metals, gold 250 00:10:58,920 --> 00:11:02,000 Speaker 2: that doesn't move with these huge wild swings like you 251 00:11:02,000 --> 00:11:03,920 Speaker 2: see in the stock market. You can see certain years 252 00:11:03,960 --> 00:11:06,440 Speaker 2: the stock market's up thirty percent or it's down forty percent. 253 00:11:06,760 --> 00:11:09,760 Speaker 2: Gold usually you see in normal times. Oh, gold was 254 00:11:09,840 --> 00:11:12,040 Speaker 2: up three percent this year. It was down four percent 255 00:11:12,160 --> 00:11:16,120 Speaker 2: last year. Eighty five percent increase in gold in the 256 00:11:16,160 --> 00:11:20,080 Speaker 2: last year. Silver, sit down, you're gonna want to hear this. 257 00:11:20,200 --> 00:11:22,120 Speaker 2: Right now, silver is one hundred and eight dollars an 258 00:11:22,160 --> 00:11:25,400 Speaker 2: ounce a year ago. It was thirty dollars and forty cents. 259 00:11:25,480 --> 00:11:29,839 Speaker 2: Silver is up two hundred and fifty percent in the 260 00:11:29,920 --> 00:11:30,520 Speaker 2: last year. 261 00:11:30,760 --> 00:11:33,720 Speaker 3: Are these are very odd. 262 00:11:33,720 --> 00:11:38,040 Speaker 2: Increases for precious metals that don't normally see huge wild 263 00:11:38,120 --> 00:11:39,000 Speaker 2: price swings like that. 264 00:11:39,040 --> 00:11:41,319 Speaker 1: I heard Tony Katz joking about it this morning, that 265 00:11:41,400 --> 00:11:44,200 Speaker 1: he was going to go sell all of his silver 266 00:11:44,800 --> 00:11:49,000 Speaker 1: and not me. I wear silver, that's that's my typical color. 267 00:11:49,320 --> 00:11:50,559 Speaker 1: But all of the silver that. 268 00:11:50,559 --> 00:11:53,320 Speaker 4: I have, which I'm actually wearing right now, you gave 269 00:11:53,400 --> 00:11:53,640 Speaker 4: to me. 270 00:11:53,920 --> 00:11:57,160 Speaker 2: Oh well, then you did. So you're talking about melting 271 00:11:57,200 --> 00:11:58,680 Speaker 2: it down or bringing it to a pawnshot. 272 00:11:58,840 --> 00:11:59,720 Speaker 4: No, that's what I'm saying. 273 00:11:59,760 --> 00:12:02,120 Speaker 1: I'm not ready to do that, but I think that 274 00:12:02,240 --> 00:12:07,280 Speaker 1: you the word that you used normal times. In normal 275 00:12:07,440 --> 00:12:10,839 Speaker 1: times silver is much lower and gold as well. 276 00:12:10,960 --> 00:12:13,920 Speaker 4: But even just it we're not in normal time. 277 00:12:13,800 --> 00:12:16,200 Speaker 2: But even during COVID. So I'll give you an example 278 00:12:16,200 --> 00:12:18,240 Speaker 2: of how stable silver has been. So if you go 279 00:12:18,360 --> 00:12:22,200 Speaker 2: back to right before COVID, silver was about twenty five 280 00:12:22,240 --> 00:12:25,640 Speaker 2: dollars an ounce, and then in twenty twenty two, silver 281 00:12:25,760 --> 00:12:28,320 Speaker 2: was about twenty five dollars an ounce. Twenty twenty four 282 00:12:28,679 --> 00:12:31,360 Speaker 2: silver was about twenty five dollars an ounce. It was 283 00:12:31,520 --> 00:12:35,200 Speaker 2: really about a year ago when things start exploding and 284 00:12:35,240 --> 00:12:37,640 Speaker 2: silver has gone up two hundred and fifty cents purpose 285 00:12:37,800 --> 00:12:40,720 Speaker 2: two hundred and fifty percent since then, and now at 286 00:12:40,800 --> 00:12:43,520 Speaker 2: one hundred and eight dollars an ounce, it is an 287 00:12:43,559 --> 00:12:44,680 Speaker 2: all time high. 288 00:12:44,880 --> 00:12:48,200 Speaker 1: Yeah yeah, I mean you can think inflation and the 289 00:12:48,240 --> 00:12:52,000 Speaker 1: political tension we're seeing every single day, and also tariffs for. 290 00:12:52,000 --> 00:12:53,280 Speaker 3: That, and that's part of it. 291 00:12:53,200 --> 00:12:54,160 Speaker 4: It got to be the driver. 292 00:12:54,280 --> 00:12:55,959 Speaker 3: And you could see the same thing with gold again. 293 00:12:56,000 --> 00:12:59,520 Speaker 2: Back in twenty twenty, gold was about fifteen hundred, ranged 294 00:12:59,559 --> 00:13:01,880 Speaker 2: between fifteen hundred and two thousand dollars an ounce, and 295 00:13:02,160 --> 00:13:04,840 Speaker 2: twenty twenty two it was about nineteen hundred dollars an ounce, 296 00:13:04,880 --> 00:13:07,400 Speaker 2: twenty twenty four it was about two thousand dollars an ounce, 297 00:13:07,559 --> 00:13:10,520 Speaker 2: and now today it's five one hundred and twenty six cols. 298 00:13:10,520 --> 00:13:13,960 Speaker 4: Sell the gold. I wear silver, so we can see you. 299 00:13:14,000 --> 00:13:15,840 Speaker 3: Go through the jewelry box. We can gather up all 300 00:13:15,880 --> 00:13:16,800 Speaker 3: your gold jewelry. 301 00:13:16,920 --> 00:13:19,880 Speaker 4: There's not much there, it's mostly mostly costume jewelry. 302 00:13:20,040 --> 00:13:20,600 Speaker 3: Then sell it. 303 00:13:20,640 --> 00:13:22,560 Speaker 2: But at five thousand dollars in ounce, we're not the 304 00:13:22,600 --> 00:13:24,760 Speaker 2: only ones. I mean, gold and silver shops and pawn 305 00:13:24,760 --> 00:13:27,280 Speaker 2: shops they're making bang from this because people have just 306 00:13:27,320 --> 00:13:30,320 Speaker 2: got these precious metals and jewelry and other items laying around, 307 00:13:30,600 --> 00:13:33,000 Speaker 2: and man now looks up to be about as good 308 00:13:33,000 --> 00:13:34,800 Speaker 2: a time as any to cash in on that, because 309 00:13:34,840 --> 00:13:36,400 Speaker 2: they're both at record highs right now. 310 00:13:36,520 --> 00:13:39,559 Speaker 1: This is the Kendall like Casey Show. It's ninety three WIBC. 311 00:13:49,280 --> 00:13:53,560 Speaker 1: This is AI is getting so good that you have 312 00:13:53,640 --> 00:13:56,839 Speaker 1: to ask, is this real or is this AI? There 313 00:13:56,840 --> 00:13:59,000 Speaker 1: are many times I'll see something and hey, come look 314 00:13:59,040 --> 00:14:01,079 Speaker 1: at this is well, this is AI. 315 00:14:01,280 --> 00:14:04,000 Speaker 2: It happens to me all day every day where I'm 316 00:14:04,040 --> 00:14:06,440 Speaker 2: looking at an image or a video or something that's 317 00:14:06,480 --> 00:14:09,160 Speaker 2: been generated, and you do have to look twice. I'll 318 00:14:09,160 --> 00:14:10,960 Speaker 2: give you a great example. There's been a lot of 319 00:14:11,000 --> 00:14:13,000 Speaker 2: AI stuff out there. With what's going on with ice 320 00:14:13,000 --> 00:14:15,400 Speaker 2: in Minneapolis. There's been a lot of phony photos that 321 00:14:15,440 --> 00:14:18,280 Speaker 2: have been created and people are pushing them off like 322 00:14:18,320 --> 00:14:20,960 Speaker 2: they're genuine, and they look very real and they're hard 323 00:14:21,000 --> 00:14:22,480 Speaker 2: to detect, and you've got to take your time and 324 00:14:22,520 --> 00:14:23,840 Speaker 2: be discerning when you come to look at it. 325 00:14:23,840 --> 00:14:24,800 Speaker 4: It's getting better and better. 326 00:14:24,840 --> 00:14:27,320 Speaker 1: Eighty two percent of consumers say they watch videos they 327 00:14:27,320 --> 00:14:30,680 Speaker 1: believed were AI generated. Over a third of those viewers 328 00:14:30,760 --> 00:14:35,120 Speaker 1: report that perceived AI content lowers their trust in the 329 00:14:35,160 --> 00:14:39,240 Speaker 1: brand So if you're seeing something a product, and AI 330 00:14:39,400 --> 00:14:41,760 Speaker 1: has been used to help create it, do you like 331 00:14:41,840 --> 00:14:43,080 Speaker 1: the brand less? 332 00:14:44,280 --> 00:14:47,760 Speaker 2: I don't have a specific opinion on AI. It's great 333 00:14:47,800 --> 00:14:52,560 Speaker 2: when the ideal situation is when brands identify it and 334 00:14:52,600 --> 00:14:54,480 Speaker 2: come out and are transparent about it. Hey, here's this 335 00:14:54,560 --> 00:14:56,920 Speaker 2: and this part of this was generated via AI. And 336 00:14:56,960 --> 00:14:59,960 Speaker 2: that way they're fully transparent and everybody knows about it. 337 00:15:00,120 --> 00:15:03,640 Speaker 2: You know, if it's being used in a sinister way, yeah, 338 00:15:03,720 --> 00:15:06,720 Speaker 2: I'm going to have less of an affiliation to that 339 00:15:06,800 --> 00:15:09,440 Speaker 2: brand because of it, or if it's just being used 340 00:15:09,520 --> 00:15:11,880 Speaker 2: as part of something just to gender. Am I going 341 00:15:11,960 --> 00:15:14,760 Speaker 2: to get mad if Coca Cola comes out with an 342 00:15:14,760 --> 00:15:19,720 Speaker 2: AI generated commercial? No, because they're not really. I don't 343 00:15:19,800 --> 00:15:23,120 Speaker 2: necessarily hold Coca Cola to a certain standard. Look, they've 344 00:15:23,200 --> 00:15:26,320 Speaker 2: used computer generated images on Coca Cola for years. I'm 345 00:15:26,320 --> 00:15:29,080 Speaker 2: thinking about the classic Polar Bear ads that we always 346 00:15:29,080 --> 00:15:32,200 Speaker 2: see around Christmas time. Those have been computer generated forever. 347 00:15:32,280 --> 00:15:36,040 Speaker 2: You could call that quasi to a degree AI generated. 348 00:15:36,080 --> 00:15:38,440 Speaker 2: Am I Do I have lesson of an opinion about 349 00:15:38,440 --> 00:15:41,120 Speaker 2: Coca Cola because of that? Absolutely not. But if a 350 00:15:41,160 --> 00:15:44,160 Speaker 2: brand is using AI to get one past me or 351 00:15:44,200 --> 00:15:46,840 Speaker 2: get something over on me, then absolutely, y'all'll have more 352 00:15:46,880 --> 00:15:48,040 Speaker 2: distrust toward that brand. 353 00:15:48,080 --> 00:15:50,600 Speaker 1: Three quarters of adults want to know whether the content 354 00:15:50,800 --> 00:15:54,360 Speaker 1: was created by humans or AI, so they're more willing 355 00:15:54,400 --> 00:15:55,040 Speaker 1: to accept it. 356 00:15:55,120 --> 00:15:56,960 Speaker 4: But just tell me that it's AI out. 357 00:15:56,800 --> 00:15:58,440 Speaker 3: There again, back to what I said before. 358 00:15:58,480 --> 00:16:01,320 Speaker 2: What people are just crying out for in this country, 359 00:16:01,320 --> 00:16:05,320 Speaker 2: whether it's a holiday or anything, it's authenticity and it's transparency. 360 00:16:05,560 --> 00:16:07,680 Speaker 2: Just tell me where you're at, Just tell me where 361 00:16:07,680 --> 00:16:09,600 Speaker 2: you stand on it, tell me what this is all about, 362 00:16:09,960 --> 00:16:11,760 Speaker 2: and I'll make a decision on it base then. But 363 00:16:12,160 --> 00:16:14,080 Speaker 2: it's when you feel like somebody's trying to pull one 364 00:16:14,080 --> 00:16:16,080 Speaker 2: over on you, try and get one past you, that 365 00:16:16,080 --> 00:16:16,840 Speaker 2: people get upset. 366 00:16:16,880 --> 00:16:18,160 Speaker 3: And I'm in the boat that gets upset. 367 00:16:18,520 --> 00:16:21,760 Speaker 1: So they don't mind if you use AI for maybe 368 00:16:21,960 --> 00:16:26,040 Speaker 1: writing the script or even suggesting an edit, helping along 369 00:16:26,080 --> 00:16:29,080 Speaker 1: with the creative process. But what they don't want is 370 00:16:29,200 --> 00:16:33,480 Speaker 1: AI to replace a human voice or a human face. 371 00:16:34,200 --> 00:16:37,120 Speaker 2: And look, that's just gonna keep happening again. Back to 372 00:16:37,120 --> 00:16:40,000 Speaker 2: what we talked about earlier, AI is here. It's ramping 373 00:16:40,080 --> 00:16:41,920 Speaker 2: up even more and more. You can be mad and 374 00:16:41,960 --> 00:16:43,960 Speaker 2: you can be upset about it, but the best thing 375 00:16:44,000 --> 00:16:45,320 Speaker 2: for all of us to do is figure out how 376 00:16:45,320 --> 00:16:47,840 Speaker 2: to live with it, because it is it's not going 377 00:16:47,880 --> 00:16:50,080 Speaker 2: to stop. It's only going to get more and more pervasive. 378 00:16:50,320 --> 00:16:52,280 Speaker 1: So you can use it to help along with the 379 00:16:52,320 --> 00:16:55,520 Speaker 1: creative process. Just don't take the human element out of it. Now, 380 00:16:55,560 --> 00:16:58,520 Speaker 1: there is a new commercial that came out just yesterday, 381 00:16:58,920 --> 00:17:01,200 Speaker 1: and you had mentioned that we were talking about the 382 00:17:01,240 --> 00:17:03,360 Speaker 1: super Bowl and you said, you can't even wait for 383 00:17:03,440 --> 00:17:07,359 Speaker 1: the commercials anymore because the products are releasing the commercial 384 00:17:07,400 --> 00:17:08,440 Speaker 1: before the super Bowl. 385 00:17:08,760 --> 00:17:09,920 Speaker 4: Often yesterday, all. 386 00:17:09,840 --> 00:17:13,080 Speaker 2: The commercials get released before the super Bowl even takes place, 387 00:17:13,119 --> 00:17:16,600 Speaker 2: and certainly yesterday afternoon a big one got dropped from Budweiser. 388 00:17:16,680 --> 00:17:19,800 Speaker 1: Budweiser dropped a commercial they said, for one hundred and 389 00:17:19,800 --> 00:17:22,600 Speaker 1: fifty years, this Bud's for you. Watch our super Bowl 390 00:17:22,600 --> 00:17:29,520 Speaker 1: commercial now, and it's mostly musical. What you've got is 391 00:17:29,640 --> 00:17:34,040 Speaker 1: the classic Clydesdale and he's running through different seasons. You 392 00:17:34,119 --> 00:17:36,280 Speaker 1: see winter and spring and summer. 393 00:17:36,400 --> 00:17:39,600 Speaker 4: And he is accompanied by a. 394 00:17:39,520 --> 00:17:42,840 Speaker 2: Hatchling little bird, little bird that looks like it's lost 395 00:17:42,840 --> 00:17:44,159 Speaker 2: its mama. 396 00:17:43,680 --> 00:17:46,840 Speaker 4: Right, and you can't really tell what the bird is. 397 00:17:47,119 --> 00:17:52,120 Speaker 1: And they go through the different seasons and eventually the 398 00:17:52,160 --> 00:17:56,600 Speaker 1: bird grows into a full adult American. 399 00:17:56,160 --> 00:17:57,159 Speaker 3: Eagle bald eagle. 400 00:17:57,240 --> 00:18:00,600 Speaker 2: And there's a great image and you should definitely search 401 00:18:00,640 --> 00:18:03,560 Speaker 2: for this video on Twitter online. Great image where the 402 00:18:04,240 --> 00:18:06,560 Speaker 2: bird is, where the eagle is riding on the horse's back, 403 00:18:06,600 --> 00:18:08,639 Speaker 2: and the horse jumps over a log and the eagle 404 00:18:08,680 --> 00:18:11,200 Speaker 2: spreads its wings and then takes off, and you've got 405 00:18:11,240 --> 00:18:12,680 Speaker 2: freebird playing underneath. 406 00:18:12,840 --> 00:18:14,600 Speaker 3: And it's just Americana at. 407 00:18:14,520 --> 00:18:18,399 Speaker 2: Its past us Hey USA, which is exactly what Budweiser 408 00:18:18,440 --> 00:18:21,479 Speaker 2: tries to position itself as a good old American country, 409 00:18:21,520 --> 00:18:23,840 Speaker 2: even though it's owned by an overseas conglomerate. 410 00:18:24,040 --> 00:18:26,200 Speaker 1: At the very end, you've got a couple of ranchers 411 00:18:26,240 --> 00:18:28,600 Speaker 1: or farmers and one asked the other guy, are you crying? 412 00:18:28,640 --> 00:18:31,760 Speaker 4: And he said, no, the son's in my eyes. But 413 00:18:32,040 --> 00:18:32,879 Speaker 4: here's the question. 414 00:18:33,320 --> 00:18:36,840 Speaker 1: At one point in this commercial, it looks like it's 415 00:18:36,840 --> 00:18:37,760 Speaker 1: AI generated. 416 00:18:37,920 --> 00:18:38,879 Speaker 3: Yeah, And so this is. 417 00:18:38,880 --> 00:18:41,960 Speaker 2: A great example of Budweiser's don't know, we don't know. 418 00:18:42,480 --> 00:18:44,680 Speaker 2: Let's assume that they used a little bit of AI 419 00:18:44,840 --> 00:18:47,440 Speaker 2: in this. For the conversation that we're having about AI. 420 00:18:47,920 --> 00:18:50,480 Speaker 2: Budweiser's not trying to trick me into that. They're just 421 00:18:50,520 --> 00:18:53,000 Speaker 2: trying to tell me a story about how their classic 422 00:18:53,000 --> 00:18:55,800 Speaker 2: Clydesdale made friends with this bald eagle and they both 423 00:18:55,840 --> 00:18:58,520 Speaker 2: grew up together and now they're living the American dream. 424 00:18:58,880 --> 00:19:01,960 Speaker 2: That's just a fine story. There's nothing nefarious or sinister 425 00:19:02,040 --> 00:19:05,120 Speaker 2: about that. And so if Budweiser used a little bit 426 00:19:05,160 --> 00:19:07,280 Speaker 2: of AI to help tell this story, it's not that 427 00:19:07,400 --> 00:19:08,480 Speaker 2: awful in my opinion. 428 00:19:08,600 --> 00:19:11,240 Speaker 1: So it looks like the Ranchers, the humans in the 429 00:19:11,240 --> 00:19:14,320 Speaker 1: commercial are real people. The part that looks AI is 430 00:19:14,359 --> 00:19:17,400 Speaker 1: when the eagle is on the back of the Clydesdale 431 00:19:17,440 --> 00:19:20,960 Speaker 1: and the Clydesdale is jumping over a log, and that's 432 00:19:21,000 --> 00:19:24,159 Speaker 1: when the song kicks in the all American. 433 00:19:23,840 --> 00:19:25,639 Speaker 3: The eagle spreads. 434 00:19:26,440 --> 00:19:29,119 Speaker 2: If the people that made that commercial were able to 435 00:19:29,160 --> 00:19:32,600 Speaker 2: train that Clydesdale and that eagle, so the eagle rides 436 00:19:32,640 --> 00:19:34,360 Speaker 2: on his back and as soon as he jumps over 437 00:19:34,480 --> 00:19:37,080 Speaker 2: the log, all of a sudden, these huge eagles wings 438 00:19:37,119 --> 00:19:39,760 Speaker 2: come from out the back, then that's amazing. But if 439 00:19:39,760 --> 00:19:41,520 Speaker 2: it turns out that it's a little bit of AI 440 00:19:41,720 --> 00:19:44,320 Speaker 2: to help paint this story of Budweiser being this all 441 00:19:44,359 --> 00:19:47,920 Speaker 2: American brand and patriotism, big deal. 442 00:19:48,600 --> 00:19:51,560 Speaker 1: So many people, though, are saying, does Budweiser think we 443 00:19:51,640 --> 00:19:53,400 Speaker 1: forgot they're patriotically. 444 00:19:53,440 --> 00:19:54,160 Speaker 3: Oh look that's it. 445 00:19:54,160 --> 00:19:56,320 Speaker 1: It was just was it just last year they had 446 00:19:56,720 --> 00:19:58,560 Speaker 1: dyla Mulvanian address. 447 00:19:58,280 --> 00:19:59,360 Speaker 3: It was two years ago. 448 00:19:59,520 --> 00:20:01,879 Speaker 2: There's a whole bud Lights scandal blew up and a 449 00:20:01,920 --> 00:20:02,960 Speaker 2: lot of people boycott it. 450 00:20:03,000 --> 00:20:05,119 Speaker 4: Their marketing and company. 451 00:20:04,920 --> 00:20:08,440 Speaker 2: Bud Lights sales went into the tank, and I don't 452 00:20:08,480 --> 00:20:10,680 Speaker 2: think that they've still recovered to this day, a couple 453 00:20:10,720 --> 00:20:14,440 Speaker 2: of years later. Now, this is Budweiser, not bud Lights, 454 00:20:14,440 --> 00:20:16,240 Speaker 2: so it's slight difference. 455 00:20:15,840 --> 00:20:17,880 Speaker 3: There, that's part of it. But this is typical. 456 00:20:18,280 --> 00:20:22,760 Speaker 2: Budweiser has a tradition of creating very powerful and emotional 457 00:20:22,840 --> 00:20:25,679 Speaker 2: and patriotic commercials as part of the Super Bowl and 458 00:20:25,760 --> 00:20:27,240 Speaker 2: this is just a continuation of that. 459 00:20:27,560 --> 00:20:30,760 Speaker 1: Many people are saying, well done, Budweiser, welcome back to 460 00:20:30,840 --> 00:20:31,719 Speaker 1: being American. 461 00:20:32,119 --> 00:20:35,200 Speaker 4: It is the Kennelly Casey Show. It's ninety three WIBC. 462 00:20:44,240 --> 00:20:47,080 Speaker 1: We were talking earlier about how much the winter storm 463 00:20:47,160 --> 00:20:50,280 Speaker 1: has cost and one of the things that runs up 464 00:20:50,320 --> 00:20:53,479 Speaker 1: the price is damage from snow and it has happened 465 00:20:53,480 --> 00:20:57,520 Speaker 1: to the houseways and means room. According to Nikki Kelly, 466 00:20:57,960 --> 00:21:00,960 Speaker 1: the houseways and means room here in India has sustained 467 00:21:01,040 --> 00:21:05,120 Speaker 1: heavy snow damage, and the committee was moved because they 468 00:21:05,160 --> 00:21:07,640 Speaker 1: were concerned that the ceiling would be falling in. 469 00:21:08,000 --> 00:21:10,720 Speaker 2: Yeah, so that's at the State House in downtown Indianapolis. 470 00:21:10,760 --> 00:21:12,639 Speaker 2: I know that that committee room, I believe is on 471 00:21:12,680 --> 00:21:14,879 Speaker 2: the fourth floor, which is the top floor there at 472 00:21:14,880 --> 00:21:16,480 Speaker 2: the State House. And so that would make the most 473 00:21:16,520 --> 00:21:18,920 Speaker 2: sense of that there were roof problems, They're going to 474 00:21:19,200 --> 00:21:22,359 Speaker 2: see it and it be most visible and interruptive on 475 00:21:22,520 --> 00:21:24,120 Speaker 2: the on the upper floors of the State House. 476 00:21:24,200 --> 00:21:27,800 Speaker 1: We had snow damage to our house when we lived 477 00:21:27,800 --> 00:21:29,879 Speaker 1: in Granger because there was an ice dam that was 478 00:21:29,920 --> 00:21:30,840 Speaker 1: built upon the roof. 479 00:21:31,040 --> 00:21:32,840 Speaker 4: Yeah, started leaking through into the kitchen. 480 00:21:32,960 --> 00:21:35,080 Speaker 2: Yep, absolutely, so we had to have somebody to come 481 00:21:35,080 --> 00:21:36,840 Speaker 2: out and fix that. But you generally, when you think 482 00:21:36,880 --> 00:21:42,399 Speaker 2: of storm damage, you always think of more water flooding, tornadoes, hurricanes, 483 00:21:42,440 --> 00:21:44,240 Speaker 2: but there's certainly a lot of damage that can take 484 00:21:44,240 --> 00:21:46,320 Speaker 2: place from snowstorms and ice storms. 485 00:21:47,160 --> 00:21:52,879 Speaker 1: Many believe that AI investment has quote saved the economy 486 00:21:52,960 --> 00:21:56,159 Speaker 1: this past year, but according to some reports, no, it 487 00:21:56,320 --> 00:21:59,840 Speaker 1: wasn't AI so much. It was consumer spending that was 488 00:21:59,840 --> 00:22:03,560 Speaker 1: the primary driver of the GDP growth that we saw. 489 00:22:04,160 --> 00:22:07,560 Speaker 1: And isn't that interesting because we talk about how people 490 00:22:07,600 --> 00:22:11,280 Speaker 1: are saying everything is so expensive and wages are not 491 00:22:11,400 --> 00:22:14,359 Speaker 1: keeping up with the cost of living. Yet this report 492 00:22:14,440 --> 00:22:18,359 Speaker 1: is saying that consumer spending is the primary driver of 493 00:22:18,400 --> 00:22:22,479 Speaker 1: all GDP growth. So is that just you know, people 494 00:22:22,680 --> 00:22:25,320 Speaker 1: not caring spending regardless. 495 00:22:25,440 --> 00:22:27,399 Speaker 2: Well, look, there's a lot of facets that are going 496 00:22:27,480 --> 00:22:30,520 Speaker 2: to impact the increase in GDP, and GDP has been 497 00:22:30,600 --> 00:22:31,960 Speaker 2: very strong. I think it was about four and a 498 00:22:32,000 --> 00:22:34,520 Speaker 2: half percent in the third quarter, and we don't have 499 00:22:34,600 --> 00:22:37,440 Speaker 2: the fourth quarter results yet, but a lot of analysts 500 00:22:37,480 --> 00:22:40,000 Speaker 2: are predicting it to be over five percent and maybe 501 00:22:40,000 --> 00:22:43,879 Speaker 2: five and a half percent. Those are massive GDP numbers 502 00:22:43,920 --> 00:22:47,840 Speaker 2: and massive increases. But look, we're Americans. We love spending money. Okay, 503 00:22:47,960 --> 00:22:51,320 Speaker 2: that's just that the American consumer has all and consumer 504 00:22:51,359 --> 00:22:55,080 Speaker 2: spending has been at the core of our GDP for 505 00:22:55,200 --> 00:22:59,120 Speaker 2: decades now, so that's that's nothing new. There has been 506 00:22:59,359 --> 00:23:02,119 Speaker 2: an encore c edible amount of money spent on AI. 507 00:23:02,440 --> 00:23:04,760 Speaker 2: Now the risk with that and all that money has 508 00:23:04,800 --> 00:23:07,840 Speaker 2: been spent by by companies. They're building out infrastructure, they're 509 00:23:07,840 --> 00:23:10,959 Speaker 2: building out data centers, they're building out these large language 510 00:23:10,960 --> 00:23:13,080 Speaker 2: models for AI, and that's cost a lot of money. 511 00:23:13,280 --> 00:23:17,240 Speaker 2: The risk to that is these companies have been investing 512 00:23:17,400 --> 00:23:21,479 Speaker 2: literally trillions of dollars in AI in the hopes that 513 00:23:21,560 --> 00:23:25,800 Speaker 2: it will result in productivity gains. Those productivity gains have 514 00:23:25,880 --> 00:23:27,480 Speaker 2: not come yet, and there's a lot of people that 515 00:23:27,480 --> 00:23:29,879 Speaker 2: are pretty skeptical and think that they're not going to 516 00:23:29,920 --> 00:23:32,239 Speaker 2: be is robust at what a lot of the and 517 00:23:32,320 --> 00:23:34,879 Speaker 2: match the level of what we've seen in these AI investments. 518 00:23:35,000 --> 00:23:39,119 Speaker 1: A lot of the biggest domestic impact of AI is 519 00:23:39,160 --> 00:23:43,439 Speaker 1: software and computers. It's not the headline grabbing data centers 520 00:23:43,480 --> 00:23:44,720 Speaker 1: that we hear about all the time. 521 00:23:44,800 --> 00:23:46,199 Speaker 3: Well, I mean, look at this. 522 00:23:46,400 --> 00:23:50,720 Speaker 2: In Vidia, it makes the vast majority of computer chips 523 00:23:50,720 --> 00:23:54,240 Speaker 2: for AI. Five ten years ago, in Vidia was just 524 00:23:54,440 --> 00:23:57,760 Speaker 2: another run of the mill chip maker that made graphics 525 00:23:57,840 --> 00:24:01,560 Speaker 2: cards for computers. Okay, it's a big business, but you're 526 00:24:01,560 --> 00:24:04,920 Speaker 2: along the lines of Intel or Dell or anybody else 527 00:24:04,960 --> 00:24:09,840 Speaker 2: that's in the PC component market. Good market, not huge. 528 00:24:10,160 --> 00:24:11,639 Speaker 2: I don't know where it stands today, but I know 529 00:24:11,680 --> 00:24:13,880 Speaker 2: that at least several points in time over the last 530 00:24:13,880 --> 00:24:16,960 Speaker 2: six months, Nvidia had the largest market cap of any 531 00:24:16,960 --> 00:24:20,280 Speaker 2: company in the entire world, higher than Tesla, higher than SpaceX, 532 00:24:20,440 --> 00:24:22,800 Speaker 2: higher than Apple, higher than Facebook, and Netflix. 533 00:24:23,160 --> 00:24:27,040 Speaker 1: It's being reported as Senator Todd Young is putting his 534 00:24:27,160 --> 00:24:28,359 Speaker 1: name on the Save Act. 535 00:24:29,240 --> 00:24:32,320 Speaker 3: Yeah, so this has been posted on social media. 536 00:24:32,359 --> 00:24:35,240 Speaker 2: We haven't gotten confirmation from Todd Young specifically that he's 537 00:24:35,240 --> 00:24:36,840 Speaker 2: going to support the Save Act. 538 00:24:36,840 --> 00:24:39,040 Speaker 3: But this is a big deal, And to remind you 539 00:24:39,080 --> 00:24:39,440 Speaker 3: of what. 540 00:24:39,359 --> 00:24:43,439 Speaker 2: We're talking about, the Save Act would require proof of 541 00:24:43,560 --> 00:24:46,560 Speaker 2: citizenship anytime you go to vote. Oh and by the way, 542 00:24:46,800 --> 00:24:49,879 Speaker 2: your driver's license, even if it's a real ID, is 543 00:24:49,920 --> 00:24:52,919 Speaker 2: not proof of citizenship. So it'd be really interesting to 544 00:24:52,920 --> 00:24:56,240 Speaker 2: see what happens here. So as it stands right now, essentially, 545 00:24:56,320 --> 00:24:59,200 Speaker 2: the Save Act would require you to bring either your 546 00:24:59,240 --> 00:25:03,560 Speaker 2: birth certificate or a valid passport to be able to vote. 547 00:25:03,560 --> 00:25:06,159 Speaker 2: This would be a nationwide act, so it would be 548 00:25:06,240 --> 00:25:09,960 Speaker 2: in place in all fifty states. That would be a 549 00:25:10,119 --> 00:25:12,919 Speaker 2: significant disruption. Not saying it's a good idea or a 550 00:25:12,920 --> 00:25:14,920 Speaker 2: bad idea. It's a good idea because we need to 551 00:25:15,000 --> 00:25:16,879 Speaker 2: kind of tighten up on who is voting and make 552 00:25:16,920 --> 00:25:19,280 Speaker 2: sure it's only citizens that are voting. But that's quite 553 00:25:19,280 --> 00:25:20,840 Speaker 2: a burden. I mean, that would be quite a change. 554 00:25:20,960 --> 00:25:22,520 Speaker 2: I'm going to throw out a guest, Well, I do 555 00:25:22,600 --> 00:25:24,800 Speaker 2: have some data on this, So for the state of Indiana. 556 00:25:25,320 --> 00:25:31,800 Speaker 2: Only thirty four percent of Hoosiers have a valid passport. 557 00:25:32,160 --> 00:25:34,920 Speaker 2: That's it, thirty four percent of Hoosiers have a valid passport. 558 00:25:35,080 --> 00:25:37,640 Speaker 2: And how many people do you think know where their 559 00:25:37,640 --> 00:25:40,200 Speaker 2: birth certificate is even if they have one. 560 00:25:40,359 --> 00:25:43,600 Speaker 1: Well, people are saying, yeah, it's going to cause unnecessary 561 00:25:43,720 --> 00:25:48,560 Speaker 1: hurdles or burdens, But shouldn't it be difficult somewhat to 562 00:25:48,640 --> 00:25:49,200 Speaker 1: go vote? 563 00:25:49,200 --> 00:25:49,800 Speaker 4: Shouldn't it? 564 00:25:50,160 --> 00:25:54,080 Speaker 1: I mean, I don't want to not difficult, but it 565 00:25:54,080 --> 00:25:56,560 Speaker 1: can't be just easy for anybody to walk in and 566 00:25:56,680 --> 00:25:57,159 Speaker 1: just do it. 567 00:25:57,280 --> 00:26:00,000 Speaker 2: Agreed completely, there have to be some standards to ensure 568 00:26:00,119 --> 00:26:02,240 Speaker 2: or it is the law in this country, federal law, 569 00:26:02,280 --> 00:26:04,520 Speaker 2: you must be a citizen to vote. God knows, we've 570 00:26:04,520 --> 00:26:07,600 Speaker 2: got tons of people in this country that are not citizens. 571 00:26:07,640 --> 00:26:10,320 Speaker 2: There aren't good proper procedures in place to ensure that 572 00:26:10,480 --> 00:26:13,320 Speaker 2: non citizens in fact don't go to the polls and 573 00:26:13,400 --> 00:26:15,879 Speaker 2: end up casting a ballot. This is a way to 574 00:26:15,920 --> 00:26:18,800 Speaker 2: get that done. It will be interesting to see how 575 00:26:18,800 --> 00:26:22,280 Speaker 2: it eventually ends up getting implemented. If it gets passed, 576 00:26:22,560 --> 00:26:25,000 Speaker 2: there's a long way to go here. Todd youngs saying 577 00:26:25,040 --> 00:26:26,639 Speaker 2: that he's on board with this, or at least the 578 00:26:26,760 --> 00:26:29,280 Speaker 2: reporting on social media that Todd Young may be in 579 00:26:29,280 --> 00:26:31,879 Speaker 2: favor of supporting the Save Act is just one piece 580 00:26:31,880 --> 00:26:34,159 Speaker 2: of this. It's going to have to pass both Houses 581 00:26:34,160 --> 00:26:36,200 Speaker 2: of Congress and then eventually Donald Trump would have to 582 00:26:36,240 --> 00:26:38,280 Speaker 2: sign it. So we're a long ways away from this 583 00:26:38,400 --> 00:26:39,160 Speaker 2: actually happening. 584 00:26:39,240 --> 00:26:41,320 Speaker 1: Yes, I think it should be accessible, but I don't 585 00:26:41,320 --> 00:26:43,439 Speaker 1: mind if you have to put a little effort into it. 586 00:26:43,520 --> 00:26:46,600 Speaker 2: No, absolutely not. Hey, I know exactly where our birth 587 00:26:46,640 --> 00:26:49,000 Speaker 2: certificates are. They're in a file in our house. I 588 00:26:49,080 --> 00:26:51,399 Speaker 2: just I'm wondering how many other people don't know that. 589 00:26:51,800 --> 00:26:54,320 Speaker 2: And again, yeah, you should have to prove that you're 590 00:26:54,320 --> 00:26:56,520 Speaker 2: a citizen, but there's a lot of people that may 591 00:26:56,560 --> 00:26:59,080 Speaker 2: need to get some documents in paperwork in order to 592 00:26:59,080 --> 00:27:01,359 Speaker 2: be able to do that before the next election comes around. 593 00:27:01,520 --> 00:27:04,399 Speaker 1: So Betty Boop and Blondie have entered the public domain 594 00:27:04,480 --> 00:27:08,879 Speaker 1: this year, and so when is the Betty Boop horror 595 00:27:08,880 --> 00:27:09,560 Speaker 1: movie coming out? 596 00:27:09,800 --> 00:27:11,840 Speaker 3: Yeah, this has been happening a lot. 597 00:27:12,440 --> 00:27:16,320 Speaker 2: You know, copyright law only allows you to copyright certain 598 00:27:16,359 --> 00:27:19,040 Speaker 2: concepts for a specific period of time. It can vary 599 00:27:19,080 --> 00:27:21,400 Speaker 2: from seventy five years to maybe a little bit more 600 00:27:21,440 --> 00:27:23,240 Speaker 2: than that with some exemptions. And I think The most 601 00:27:23,280 --> 00:27:27,480 Speaker 2: famous one was Steamboat Willie that became out, which was 602 00:27:27,520 --> 00:27:30,639 Speaker 2: the precursor to Mickey Mouse. Now Mickey Mouse still has 603 00:27:30,680 --> 00:27:34,000 Speaker 2: its copyright, but because Steamboat Willy came beforehand, that one 604 00:27:34,080 --> 00:27:37,320 Speaker 2: went away, and so people can now use the Steamboat 605 00:27:37,359 --> 00:27:41,360 Speaker 2: Willie image completely royalty free in anything they want to do. 606 00:27:41,520 --> 00:27:43,399 Speaker 2: The one that I remember the most of was I 607 00:27:43,400 --> 00:27:46,280 Speaker 2: think it was two years ago Winnie the Pooh went 608 00:27:46,359 --> 00:27:49,480 Speaker 2: into the public domain, and immediately there was a horror 609 00:27:49,600 --> 00:27:51,720 Speaker 2: There was a Winni the Pooh horror movie that came out. 610 00:27:51,800 --> 00:27:53,520 Speaker 2: I'm sure that we're just on the verge of a 611 00:27:53,560 --> 00:27:56,240 Speaker 2: Betty Boop. I don't know why horror movie is the 612 00:27:56,240 --> 00:27:59,800 Speaker 2: first thing that people do when these copyrights became public domain, 613 00:28:00,040 --> 00:28:01,560 Speaker 2: but yeah, I wouldn't be surprised if you end up 614 00:28:01,560 --> 00:28:03,720 Speaker 2: seeing a Betty Boob horror movie in the near future. 615 00:28:03,920 --> 00:28:06,440 Speaker 1: Blondie is another one, of course, that focused on Blondie's 616 00:28:06,480 --> 00:28:10,199 Speaker 1: life with Dagwood, and that inspired some films and different 617 00:28:10,240 --> 00:28:12,080 Speaker 1: old timey radio shows. 618 00:28:12,119 --> 00:28:15,720 Speaker 4: But now is Blondie going to be what I out 619 00:28:15,760 --> 00:28:16,400 Speaker 4: for revet? 620 00:28:16,880 --> 00:28:19,960 Speaker 2: I don't know that Blondie raises to the level of 621 00:28:20,000 --> 00:28:23,760 Speaker 2: cultural significance and importance that Winnie the Pooh and Steamboat 622 00:28:23,760 --> 00:28:26,520 Speaker 2: Willie do. But if they can make a horror movie 623 00:28:26,520 --> 00:28:27,720 Speaker 2: out of it, I'm sure they will. 624 00:28:28,160 --> 00:28:32,160 Speaker 1: Nancy Drew The Detective Book is another one that has 625 00:28:32,200 --> 00:28:33,959 Speaker 1: passed it's copyright, and that amazing. 626 00:28:34,000 --> 00:28:36,720 Speaker 2: I didn't realize that had been around for so long, 627 00:28:36,760 --> 00:28:38,560 Speaker 2: for over seventy five years, to the point where it's 628 00:28:38,560 --> 00:28:40,880 Speaker 2: copyright is expired. We're going to keep seeing this as 629 00:28:40,920 --> 00:28:43,720 Speaker 2: time goes by. A lot of these cultural institutions that 630 00:28:43,720 --> 00:28:46,960 Speaker 2: were created in the forties and fifties are now getting 631 00:28:47,000 --> 00:28:49,480 Speaker 2: to the point where their copyright's about to expire. I 632 00:28:49,520 --> 00:28:51,320 Speaker 2: can think of several that are probably going to come 633 00:28:51,360 --> 00:28:52,680 Speaker 2: up in the next decade that are going to be 634 00:28:52,720 --> 00:28:57,000 Speaker 2: some really big ones. Superman, yeah, oh yeah, Batman. You're 635 00:28:57,040 --> 00:28:59,840 Speaker 2: going to start seeing some of the comic book heroes 636 00:28:59,840 --> 00:29:04,240 Speaker 2: that have been turned into massive Iron Man came out 637 00:29:04,240 --> 00:29:06,200 Speaker 2: in the forties. I mean, you're gonna start seeing some 638 00:29:06,280 --> 00:29:11,680 Speaker 2: of these really really big iconic brands and images that 639 00:29:11,720 --> 00:29:13,600 Speaker 2: are gonna end up being in the in the public 640 00:29:13,640 --> 00:29:16,400 Speaker 2: domain where people can do whatever they want with them, 641 00:29:16,440 --> 00:29:17,560 Speaker 2: and so. 642 00:29:17,600 --> 00:29:19,880 Speaker 4: You can use them without permission or payment. 643 00:29:19,640 --> 00:29:21,800 Speaker 2: In any form that you want for commercial purposes or 644 00:29:21,840 --> 00:29:22,840 Speaker 2: not commercial purposes. 645 00:29:22,960 --> 00:29:27,160 Speaker 1: So there was a family in Indianapolis, family that appeared 646 00:29:27,160 --> 00:29:28,120 Speaker 1: on Family Feud. 647 00:29:28,400 --> 00:29:31,280 Speaker 3: Yeah, let's do it, oh Man. 648 00:29:31,320 --> 00:29:32,640 Speaker 4: When I was Richard's family. 649 00:29:32,680 --> 00:29:35,360 Speaker 2: When I was growing up, I remember specific guy was, 650 00:29:35,720 --> 00:29:38,880 Speaker 2: for whatever reason, a big game show kid. When I 651 00:29:38,960 --> 00:29:41,200 Speaker 2: was a kid, I love game shows, and I remember 652 00:29:41,240 --> 00:29:43,680 Speaker 2: begging my mom, wish, Mom, we gotta we got to 653 00:29:43,720 --> 00:29:45,719 Speaker 2: write to them and see if we can get our 654 00:29:45,760 --> 00:29:48,120 Speaker 2: family on Family Feud, And she had no interest. 655 00:29:47,840 --> 00:29:48,640 Speaker 3: In ever doing well. 656 00:29:48,720 --> 00:29:52,160 Speaker 1: One of the members of the Richards family, Emma, she 657 00:29:52,320 --> 00:29:55,480 Speaker 1: applied online after having a couple of glasses of wine. 658 00:29:56,120 --> 00:29:58,880 Speaker 3: That sounds like something you do you're sitting around with 659 00:29:58,920 --> 00:30:01,400 Speaker 3: your family. Ye, a couple of cocktails. You're like, you 660 00:30:01,400 --> 00:30:04,080 Speaker 3: know what, Mom, let's sign up for the family Feud. 661 00:30:04,080 --> 00:30:06,240 Speaker 2: Wouldn't that be fun to get on there and talk 662 00:30:06,280 --> 00:30:08,320 Speaker 2: to Steve Harvey and maybe try and win some money. 663 00:30:08,360 --> 00:30:11,400 Speaker 4: Took them two years, that is how long the process was. 664 00:30:11,520 --> 00:30:13,720 Speaker 3: I would imagine it's difficult. I've told you this before. 665 00:30:13,960 --> 00:30:17,600 Speaker 2: There's a website where you can go to to take 666 00:30:17,680 --> 00:30:20,560 Speaker 2: the test to potentially be on Jeopardy. I think it 667 00:30:20,600 --> 00:30:22,600 Speaker 2: was about three years ago that I went online and 668 00:30:22,680 --> 00:30:24,320 Speaker 2: took that test and. 669 00:30:24,600 --> 00:30:25,600 Speaker 3: Never heard back from them. 670 00:30:25,600 --> 00:30:26,080 Speaker 6: How'd you do? 671 00:30:26,840 --> 00:30:27,160 Speaker 3: I don't know. 672 00:30:27,200 --> 00:30:28,960 Speaker 2: You don't get the results when you take the Jeopardy 673 00:30:28,960 --> 00:30:31,880 Speaker 2: test online. It's a bunch of questions and you don't 674 00:30:31,880 --> 00:30:35,080 Speaker 2: get the results, and I never heard back from them. 675 00:30:35,840 --> 00:30:38,120 Speaker 4: You just spell it out on Jeopardy. It's not like 676 00:30:38,240 --> 00:30:38,880 Speaker 4: multiple choice. 677 00:30:38,920 --> 00:30:40,880 Speaker 2: It's not multiple choice like they'll ask you a question 678 00:30:41,000 --> 00:30:43,160 Speaker 2: like you know who was the seventeenth President of the 679 00:30:43,240 --> 00:30:45,120 Speaker 2: United States, and you have to put their name in 680 00:30:45,160 --> 00:30:48,600 Speaker 2: this little box and spelling count. My spelling is atrocious. 681 00:30:48,680 --> 00:30:53,680 Speaker 2: I assume I am. I'm spoiled. As with the technology, 682 00:30:53,720 --> 00:30:55,320 Speaker 2: I don't have to learn how to spell anything. I 683 00:30:55,360 --> 00:30:58,000 Speaker 2: can just change it when the autocorrect comes up. But yeah, 684 00:30:58,040 --> 00:31:00,760 Speaker 2: the Jeopardy test was was difficult. I have no idea 685 00:31:00,760 --> 00:31:02,840 Speaker 2: how I did. I'm going to assume I didn't do 686 00:31:02,920 --> 00:31:05,320 Speaker 2: that great since the producers of Jeopardy never reached out. 687 00:31:05,560 --> 00:31:07,680 Speaker 1: So one of the members of the Richards family who 688 00:31:07,720 --> 00:31:10,440 Speaker 1: was on the family Feud, she said, you think you're 689 00:31:10,480 --> 00:31:12,720 Speaker 1: the smartest person in the living room until you go 690 00:31:12,840 --> 00:31:15,560 Speaker 1: on stage. I bet that happens as soon as those 691 00:31:15,600 --> 00:31:18,360 Speaker 1: cameras turn on. You forget everything. 692 00:31:18,120 --> 00:31:20,680 Speaker 2: And you've hear this from people that are on game 693 00:31:20,720 --> 00:31:22,640 Speaker 2: shows that you know they play it in their living 694 00:31:22,720 --> 00:31:24,640 Speaker 2: room and they do a great job and they're super smart. 695 00:31:24,680 --> 00:31:27,920 Speaker 2: But man, that pressure is on. The lights are on. 696 00:31:28,120 --> 00:31:30,680 Speaker 2: You've got a live studio audience. You know this is 697 00:31:30,720 --> 00:31:33,400 Speaker 2: going to be on TV, and the camera comes to 698 00:31:33,520 --> 00:31:34,640 Speaker 2: you for the answer. 699 00:31:36,080 --> 00:31:37,840 Speaker 1: Is that what happened to you when you went online 700 00:31:37,880 --> 00:31:39,120 Speaker 1: to try and get on Jeopardy? 701 00:31:39,160 --> 00:31:41,360 Speaker 4: You froze? You know what pressure get to you. 702 00:31:41,560 --> 00:31:43,239 Speaker 3: Let's go with that. Yeah, that's it. 703 00:31:43,320 --> 00:31:45,640 Speaker 2: I knew all those Jeopardy answers because you know, I'm 704 00:31:45,640 --> 00:31:48,640 Speaker 2: pretty smart guy. But man, I just couldn't take the pressure, 705 00:31:48,640 --> 00:31:51,120 Speaker 2: couldn't take the bright lights of that online quiz. 706 00:31:51,200 --> 00:31:53,320 Speaker 4: You should try doing it today because it is National 707 00:31:53,400 --> 00:31:54,120 Speaker 4: Gym Day. 708 00:31:54,440 --> 00:31:55,400 Speaker 3: As declared by me. 709 00:31:55,560 --> 00:31:57,720 Speaker 1: Yes, it is the kind of like Casey show. It's 710 00:31:57,760 --> 00:32:11,440 Speaker 1: ninety three WIBC. It was a nine year fight, but 711 00:32:11,560 --> 00:32:12,240 Speaker 1: now it's over. 712 00:32:12,400 --> 00:32:13,160 Speaker 3: It's a long time. 713 00:32:13,320 --> 00:32:13,800 Speaker 4: Yeah. 714 00:32:13,960 --> 00:32:17,520 Speaker 1: Dave Portnoy, founder of Barstool Sports. He has indicated on 715 00:32:17,600 --> 00:32:21,840 Speaker 1: social media that his brand's long standing feud with the 716 00:32:22,000 --> 00:32:26,160 Speaker 1: NFL and the ban has been lifted. They made up, 717 00:32:26,240 --> 00:32:27,280 Speaker 1: They kissed and made up. 718 00:32:27,600 --> 00:32:29,960 Speaker 2: Yeah, this has been a feud that's been going on 719 00:32:30,000 --> 00:32:32,360 Speaker 2: for a long time between Dave Portnoy, who's the head 720 00:32:32,360 --> 00:32:35,840 Speaker 2: of Barstool Sports, which is this emerging, you know, massive 721 00:32:35,880 --> 00:32:38,400 Speaker 2: sports powerhouse that's creating a ton of content out there, 722 00:32:38,480 --> 00:32:40,760 Speaker 2: and the NFL Commissioner, Roger Goodell. And they had a 723 00:32:40,800 --> 00:32:43,280 Speaker 2: spat going back about ten years, so much so that 724 00:32:43,320 --> 00:32:46,880 Speaker 2: to the point where Barstool produced T shirts actually a 725 00:32:46,920 --> 00:32:50,000 Speaker 2: ton of merch of it was an image of Roger Goodell, 726 00:32:50,040 --> 00:32:52,280 Speaker 2: the commission of the NFL, and he was wearing like 727 00:32:52,360 --> 00:32:56,200 Speaker 2: a bozo wig and a clown nose, and man Barstool 728 00:32:56,240 --> 00:32:58,560 Speaker 2: sold a ton of those shirts. And this was just 729 00:32:58,600 --> 00:33:00,440 Speaker 2: all part of the beef that port and had with 730 00:33:00,520 --> 00:33:04,360 Speaker 2: Roger Goodell. And nine years ago, Dave Portnoy went to 731 00:33:04,440 --> 00:33:08,479 Speaker 2: the Super Bowl and was actually physically removed by NFL 732 00:33:08,520 --> 00:33:10,800 Speaker 2: security from the super Bowl, was told that he was 733 00:33:10,880 --> 00:33:14,680 Speaker 2: banned from the super Bowl. And your band, he assumed 734 00:33:14,680 --> 00:33:17,240 Speaker 2: that that band had been in place this whole time, 735 00:33:17,320 --> 00:33:20,120 Speaker 2: and he went and asked the NFL in the last week, 736 00:33:20,200 --> 00:33:21,600 Speaker 2: since we now know who's going to be playing in 737 00:33:21,640 --> 00:33:25,200 Speaker 2: the Super Bowl Seattle in New England, and asked, hey, NFL, 738 00:33:25,200 --> 00:33:27,320 Speaker 2: am I still banned and Actually, I was pretty surprised 739 00:33:27,320 --> 00:33:29,600 Speaker 2: with this. The NFL said, yeah, yeah, you're no longer banned, 740 00:33:29,640 --> 00:33:30,720 Speaker 2: you can come to the super Bowl. 741 00:33:30,800 --> 00:33:33,600 Speaker 1: Everything's okay now, Well, the band goes back to twenty 742 00:33:33,640 --> 00:33:38,240 Speaker 1: fifteen after Deflategate, the controversy with Tom Brady, and now 743 00:33:38,280 --> 00:33:41,520 Speaker 1: you've got the Patriots going back to the Super Bowl. 744 00:33:41,600 --> 00:33:42,640 Speaker 3: Back to the super Bowl again. 745 00:33:42,680 --> 00:33:44,000 Speaker 4: I'm a big fan of the Patriots. 746 00:33:44,040 --> 00:33:46,760 Speaker 2: He's from Boston, so he's a huge Patriots fan. Huge 747 00:33:46,800 --> 00:33:49,479 Speaker 2: Tom Brady fan. Was really given the NFL and Goodell 748 00:33:49,520 --> 00:33:51,520 Speaker 2: a lot of the business when they were investigating Tom 749 00:33:51,560 --> 00:33:54,320 Speaker 2: Brady for deflate Gate and then producing the clown T 750 00:33:54,480 --> 00:33:57,200 Speaker 2: shirts with Roger Goodell's image on it. There was just 751 00:33:57,240 --> 00:33:59,880 Speaker 2: a lot of poking of the bear By Barstool to 752 00:34:00,120 --> 00:34:02,720 Speaker 2: the NFL, and eventually the Roger Goodell said, nope, you 753 00:34:02,720 --> 00:34:03,480 Speaker 2: guys are out of here. 754 00:34:03,520 --> 00:34:05,880 Speaker 3: But time heals all wounds. 755 00:34:05,920 --> 00:34:08,239 Speaker 2: And so now my guess is we'll see Dave Portannoy 756 00:34:08,320 --> 00:34:09,800 Speaker 2: back at the Super Bowl this year, right. 757 00:34:09,719 --> 00:34:12,440 Speaker 1: And that also means the barstool could be returning to 758 00:34:12,600 --> 00:34:17,080 Speaker 1: different NFL events and producing more content surrounding that entirely possible. 759 00:34:17,520 --> 00:34:20,239 Speaker 2: We'll see how chummy things get it seems like they're 760 00:34:20,280 --> 00:34:22,160 Speaker 2: just kind of dipping their toe in the water to 761 00:34:22,200 --> 00:34:24,120 Speaker 2: see how that relationship is going forward. 762 00:34:24,120 --> 00:34:26,120 Speaker 4: Its kind of like we're letting you back in. Don't 763 00:34:26,200 --> 00:34:28,279 Speaker 4: ruin it. You know he's going to put a big 764 00:34:28,360 --> 00:34:29,480 Speaker 4: bet on the Super Bowl. 765 00:34:29,680 --> 00:34:32,200 Speaker 2: Yeah, so you have to keep in mind Dave Portnoy 766 00:34:32,920 --> 00:34:35,680 Speaker 2: sold his company for hundreds of millions of dollars and 767 00:34:35,719 --> 00:34:37,799 Speaker 2: then famously in the story last year, bought it back 768 00:34:37,880 --> 00:34:41,480 Speaker 2: for one dollars. Dave Portnoy is worth well north of 769 00:34:41,520 --> 00:34:44,480 Speaker 2: one hundred million dollars and at his core, and I 770 00:34:44,520 --> 00:34:46,520 Speaker 2: like Dave Portnoy, but at his core he's just a 771 00:34:46,560 --> 00:34:49,319 Speaker 2: sports bro. But now he's a sports bro with over 772 00:34:49,400 --> 00:34:51,920 Speaker 2: money one hundred million dollars in the bank. So you 773 00:34:52,120 --> 00:34:54,680 Speaker 2: know that he's going to make ridiculous sports bets. 774 00:34:54,719 --> 00:34:54,960 Speaker 1: It is. 775 00:34:55,160 --> 00:34:58,279 Speaker 2: It is common for him to bet six figures on 776 00:34:58,280 --> 00:35:02,560 Speaker 2: one game and during big events March Madness, super Bowl, 777 00:35:02,680 --> 00:35:06,279 Speaker 2: college Football National Championships, especially when Michigan, which is where 778 00:35:06,280 --> 00:35:09,400 Speaker 2: he went to school or is it. He's made bets 779 00:35:09,480 --> 00:35:12,239 Speaker 2: that have been over a million dollars on a single bet. 780 00:35:12,440 --> 00:35:15,040 Speaker 1: Him and his wife, they've been separated for a long time, 781 00:35:15,440 --> 00:35:17,839 Speaker 1: but he still gives her access to all of his money. 782 00:35:18,000 --> 00:35:18,760 Speaker 3: Isn't that amazing? 783 00:35:18,840 --> 00:35:22,040 Speaker 2: So so he and his wife are separated, they're not divorced, 784 00:35:22,040 --> 00:35:25,080 Speaker 2: and they've been separated for well over ten years now, 785 00:35:25,520 --> 00:35:26,440 Speaker 2: and he has. 786 00:35:26,280 --> 00:35:27,440 Speaker 3: Come out publicly and said this. 787 00:35:27,880 --> 00:35:31,600 Speaker 2: His wife, who's he's separated with, has full access to 788 00:35:31,680 --> 00:35:33,919 Speaker 2: all of his finances, full access. 789 00:35:33,560 --> 00:35:36,240 Speaker 3: To all of his finances. He says he trusts her and. 790 00:35:36,320 --> 00:35:37,680 Speaker 4: She's with him when he was broke. 791 00:35:38,680 --> 00:35:41,400 Speaker 2: So and Dave Portnoyd catches a lot of shrapnel for 792 00:35:41,440 --> 00:35:43,719 Speaker 2: a lot of things that he's done, and maybe rightly so, 793 00:35:44,040 --> 00:35:47,600 Speaker 2: but that just seems to be a great core value. 794 00:35:47,640 --> 00:35:49,520 Speaker 2: He said, Hey, my wife was with me when I 795 00:35:49,520 --> 00:35:52,160 Speaker 2: started this company and living in my parents' basement and 796 00:35:52,360 --> 00:35:54,320 Speaker 2: ed you know, didn't have two pennies to rub together. 797 00:35:54,640 --> 00:35:56,880 Speaker 2: And she's stuck with me throughout all the difficult times. 798 00:35:56,920 --> 00:35:59,000 Speaker 2: So it only makes sense that after I, you know, 799 00:35:59,080 --> 00:36:02,319 Speaker 2: made millions and millionions of dollars, that she should have 800 00:36:02,400 --> 00:36:04,319 Speaker 2: access to that. And that's the way it is right now, 801 00:36:04,360 --> 00:36:05,640 Speaker 2: and that's still the case to this day. 802 00:36:05,840 --> 00:36:09,120 Speaker 1: We were talking earlier about how Budweiser released a Super 803 00:36:09,120 --> 00:36:13,240 Speaker 1: Bowl ad. They've got the Clydesdale and an American Eagle 804 00:36:13,280 --> 00:36:17,040 Speaker 1: in the ad. But let's go in the way back machine. 805 00:36:17,440 --> 00:36:20,480 Speaker 1: See if you recognize this one that first aired. 806 00:36:20,600 --> 00:36:23,640 Speaker 4: In nineteen ninety nine. 807 00:36:24,280 --> 00:36:30,600 Speaker 3: Year makes me feel old? Hello, he who what's up? None? 808 00:36:30,680 --> 00:36:33,960 Speaker 4: V just watching the game having a bud so but 809 00:36:34,120 --> 00:36:38,040 Speaker 4: you nuning botching game having a bud? 810 00:36:38,480 --> 00:36:38,760 Speaker 1: True? 811 00:36:39,120 --> 00:36:48,080 Speaker 6: Got it? True? That yo? You're picking the phone? 812 00:36:48,760 --> 00:36:49,920 Speaker 3: Hello with that. 813 00:36:54,160 --> 00:37:04,840 Speaker 6: Yo? Where's dookie done? 814 00:37:05,120 --> 00:37:06,440 Speaker 4: Ninety nine is when that commercial? 815 00:37:06,640 --> 00:37:09,600 Speaker 3: Yeah, that makes me feel very very old. But bud bid. 816 00:37:10,280 --> 00:37:12,200 Speaker 2: They've got a history of just coming out with these 817 00:37:12,239 --> 00:37:14,040 Speaker 2: commercials that have just impacted culture. 818 00:37:14,200 --> 00:37:15,640 Speaker 3: What about the Buzzwiser Frogs? 819 00:37:15,680 --> 00:37:17,759 Speaker 4: You remember that Frogs is another one. 820 00:37:17,800 --> 00:37:20,640 Speaker 1: I think that that commercial is older than our daughter. 821 00:37:20,880 --> 00:37:21,239 Speaker 3: It is. 822 00:37:22,040 --> 00:37:24,080 Speaker 2: Yeah, she was not alive in nineteen nineteen, so if 823 00:37:24,120 --> 00:37:26,680 Speaker 2: we went to her and said what's she would have 824 00:37:26,800 --> 00:37:27,920 Speaker 2: no idea what it's like. 825 00:37:28,520 --> 00:37:30,680 Speaker 4: Yeah, well, most of the time, you may be right. 826 00:37:30,800 --> 00:37:33,400 Speaker 1: Yeah, thank you, Jim, Thank you, Kevin, thank you for 827 00:37:33,480 --> 00:37:36,799 Speaker 1: listening today. This has been the Kennelly Casey Show. It's 828 00:37:36,880 --> 00:37:38,640 Speaker 1: ninety three WIBC.