This Past Weekend with Theo Von - November 03, 2026


#693 - Consumer Advocate Lindsay Owens

#692 - Sophie Cunningham

Episode Stats


Length

1 hour and 53 minutes

Words per minute

188.95

Word count

21,357

Sentence count

1,524

Harmful content

Misogyny

25

sentences flagged

Toxicity

55

sentences flagged

Hate speech

32

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
00:00:00.380 She's a consumer protection expert known for her investigations into price gouging and online price manipulation.
00:00:09.240 She has a new book called Gouged, The End of a Fair Price and What That Means for Your Wallet.
00:00:16.020 I learned a lot and I'm thankful for her time.
00:00:18.880 Today's guest is Miss Lindsay Owens.
00:00:30.000 getting scammed is starting to feel like one of the most american things in the world
00:00:44.240 like that's our apple pie now it's absolutely you know um lindsey owens the author of gouge
00:00:51.680 yep thank you so much for joining us today you are a kind of a a consumer advocate and a watchdog
00:00:58.860 You had a group called Groundwork Collaborative, which does what exactly?
00:01:03.100 We're a think tank in Washington, D.C., and a think tank is sort of a silly word that only people in Washington, D.C. use.
00:01:08.980 But basically, we do research and investigations, including investigations of corporate America, to try to influence policy, to try to help policymakers know exactly how to pass laws to stop us from getting ripped off, to help policymakers see what's happening to America on the ground.
00:01:26.140 Yeah, because everything feels like you're getting ripped off now.
00:01:28.560 It feels like our country's getting ripped off.
00:01:30.660 The people are getting ripped.
00:01:31.880 It feels even animals.
00:01:33.200 I've seen animals.
00:01:34.100 They're like, you know, people, it's just like, it's become like an infection that we're just being taken advantage of at every possible point.
00:01:43.080 Yeah.
00:01:43.420 What got you involved in investigating this?
00:01:45.640 Yeah.
00:01:45.840 Well, one thing I say about price gouging and getting ripped off is it is absolutely coming for every line item in the household budget.
00:01:53.180 It's coming for your rent.
00:01:54.520 It's coming for your groceries.
00:01:55.700 And I know you were just joking about animals, but absolutely, like pet food prices are way up.
00:02:01.880 The companies that control the pet food market really have us over a barrel these days.
00:02:06.000 So it really is coming for our vacation, airline tickets, everything.
00:02:09.960 I started looking into price gouging basically in 2021 when inflation started.
00:02:15.360 And I wasn't alive during the last period of high inflation.
00:02:18.100 And I was sort of like, hmm, what is this inflation?
00:02:20.400 And what is it going to mean for us?
00:02:22.100 Like, how is it going to change the economy?
00:02:23.560 How is it going to change our psychology as consumers?
00:02:26.980 Are we just going to be anxious that prices are going to go up forever for the rest of our lives?
00:02:31.500 And I started looking at what companies were saying about inflation.
00:02:35.240 And that's when things got pretty interesting because what I noticed is, you know, their prices are going up too, right?
00:02:40.960 Like if you make a product, the input costs, the stuff that you have to buy to make your stuff, those prices are rising too.
00:02:48.540 Like the fixed costs for companies.
00:02:49.960 Exactly.
00:02:50.880 And I thought, okay, if companies' prices are rising,
00:02:53.860 they must be pretty stressed about inflation.
00:02:56.080 And what I found when I listened in
00:02:58.120 on what the companies were telling their investors
00:03:00.260 and their shareholders
00:03:01.040 is they were not worried about inflation at all.
00:03:03.700 Like they were gonna pass along all of their rising costs
00:03:06.760 and they were gonna use the fact
00:03:08.600 that we all expected prices to go up
00:03:10.640 to pass along even more than their rising costs.
00:03:14.880 Just so we know, like in your book,
00:03:16.680 there's a lot of different terminology.
00:03:17.760 There's price gouging, dynamic pricing.
00:03:20.260 algorithmic pricing, surveillance pricing. Let's go through what is first, just so people know,
00:03:24.800 what is price gouging? Yeah. The legal definition of price gouging is when a company or an individual
00:03:31.280 overcharges you during an emergency. So you've got a hurricane and you've got the last four
00:03:37.480 gallons of water, you know, you charge a hundred dollars a gallon, right? That's the legal definition
00:03:42.320 of price gouging. I also think most Americans have like a duck test version of price gouging,
00:03:48.060 right? A duck test? Yeah. Like it quacks like a duck. It walks like a duck. It's a duck. Like
00:03:52.480 you know, when you're being ripped off, like, you know, when someone's cheating you, like we
00:03:55.720 intuitively have a sense, like this price doesn't sit right with us. Yeah, for sure. And I, you know,
00:04:01.560 I think it's fine to use the phrase price gouging in those scenarios as well. Yeah. And now even it
00:04:06.980 seems like, I don't know, it feels like everything is in cahoots these days. Like if a larger entity
00:04:12.200 owns not only a weather channel, but they also own a chain store, and then they also own a media
00:04:20.480 outlet, then they can create a narrative that there's a storm coming or something. Then they
00:04:25.400 can adjust the price. They can just do it all themselves. It even feels like it's gotten that
00:04:29.840 dark. What is dynamic pricing? Yeah. So dynamic pricing is when a company changes prices based
00:04:37.760 on market conditions. So let's say there's a lot of demand for a world cup ticket or a concert
00:04:43.780 ticket. Um, you know, the company will increase the price because they know there are a lot of
00:04:48.460 different people looking at that same ticket and they think they can charge it to you.
00:04:52.580 Like ticket, like, is that something you see with ticket master? Is that ticket master started
00:04:56.760 using dynamic pricing in 2011, which was the same year that Uber started using dynamic pricing.
00:05:01.840 Like when I was a kid, you stood in line for concert tickets. Right. And like,
00:05:05.740 if there were two tickets left, like the last two people in line got the tickets at face value.
00:05:10.820 They didn't like stop and say, okay, there's 60 people left in line. Who's like, we're going to
00:05:17.080 sell this ticket, last two tickets to the highest bidder. Right. Like that didn't happen. You just
00:05:20.600 got the last two tickets at face value. And now they almost always auction them off. Right.
00:05:26.620 Is that necessarily unfair? It's their, is it their tickets or it's the artist's tickets?
00:05:31.680 Yeah, look, you know, you can decide if you think it is fair to auction tickets off to the highest bidder, right? It's a decision that you can make if you're using dynamic pricing. And there are a lot of economists who will tell you that auctioning off tickets is the most efficient way to allocate scarce resources, because the person who's willing to pay the most probably wants the ticket the most, and they should get the ticket, right?
00:05:56.640 But I think most Americans disagree and they think that everyone should have an equal shot at a ticket, right?
00:06:02.380 They like a first-come, first-served model or a line.
00:06:05.600 They like a lottery model.
00:06:06.800 Sometimes, you know, you put your name in a hat and then the first 100 people get plucked out.
00:06:11.700 That's another way to allocate a scarce resource that feels more fair to a lot of us.
00:06:16.760 But these days, you know, more often than not, almost always you're going to see dynamic pricing and you're going to see, you know, what is effectively an auction.
00:06:25.060 But I think for me, the really crazy part is now companies are using dynamic pricing in all sorts of areas where there isn't scarcity, right?
00:06:35.680 They're just like changing prices in the grocery store.
00:06:38.020 Like, what do you mean by that?
00:06:39.520 Well, Walmart is installing electronic shelf labels in their stores.
00:06:45.020 And by the end of 2026, every Walmart in the country will have electronic shelf labels instead of paper stickers.
00:06:51.840 Are you serious?
00:06:52.440 Yeah.
00:06:52.640 So it means, so they're not going to have just the price on there anymore.
00:06:55.280 What is an electronic shelf label?
00:06:57.320 It's a digital display.
00:06:58.800 Okay.
00:06:59.840 Digital shelf labels, a modern tool for everyday low pricing.
00:07:03.220 Oh, wow.
00:07:03.640 Low pricing.
00:07:05.220 A modern upgrade to a longstanding promise.
00:07:07.960 Digital shelf labels.
00:07:09.200 And this is on the Walmart website.
00:07:10.740 Yeah, this is a little, this is the Walmart take on their electronic shelf labels.
00:07:14.840 Digital shelf labels are simply electronic price displays that replace paper tags on
00:07:18.440 the shelf edge, similar to the digital displays customers have seen for years at gas stations.
00:07:22.640 Prices are still set the same way they always have been centrally by Walmart following our everyday low price strategy with an associate reviewing approved changes.
00:07:33.160 What problem do you see with these DS, with the digital shelf labels?
00:07:40.240 Yeah, DSLs.
00:07:40.900 Yeah.
00:07:41.480 Look, in my view, electronic shelf labels are the digital infrastructure to price everything in the economy dynamically.
00:07:51.540 So here is the concern.
00:07:53.060 And, you know, Walmart has been pretty clear that they're not planning to do this.
00:07:56.140 But the concern is, you know, it's hot outside.
00:07:59.240 Let me increase the price of ice cream.
00:08:00.880 And I can use an algorithm at headquarters that checks weather patterns around the country and matches weather patterns at specific retail locations and hikes the price.
00:08:11.300 Or there's a winter storm in an area.
00:08:14.240 Let me hike the price of soup.
00:08:15.780 Let me hike the price of hand warmers, things like that.
00:08:19.160 Have we seen evidence of that yet?
00:08:21.340 Like, is there any proof that Walmart has done that already?
00:08:23.760 Yeah.
00:08:23.940 So it's really hard to know exactly what Walmart is doing.
00:08:27.140 And they've denied using the shelf labels for dynamic pricing, but also not all the
00:08:32.700 stores have the dynamic pricing or the shelf labels yet, right?
00:08:35.400 And so at the end of the year, the technology will be there to do something really different
00:08:39.720 with pricing in the future.
00:08:41.360 Got it.
00:08:41.980 Look, we've also looked into Walmart's patents, the types of technologies that they're
00:08:47.420 building in Walmart's headquarters and taking the trouble to try to get the rates to, which is what
00:08:52.660 a patent is. And what we've found is that they are filing patents for things like scan and go
00:08:59.740 technology, where you can scan items on your phone that connect to electronic shelf labels
00:09:04.700 and change pricing. Like give me an example of what that even looks like. So I could scan an
00:09:09.580 item on my phone? Yeah. So scan and go technology is like a way to kind of not have to go to the
00:09:13.680 checkout line. Okay. Right. So you can actually just like scan the items on your phone as you're
00:09:18.180 in the store and then just stick them in your cart. Right. And then you can take your phone
00:09:23.160 to the checkout and basically finish the transaction. Okay. Got it. But the patent
00:09:28.520 that Walmart filed, the example that they themselves gave was certain items, once you
00:09:33.820 put them in your cart, they expect you to buy complimentary items and they'll change the prices
00:09:38.760 of those items. I see. So you buy this, you also have to buy this? Well, the example they gave is
00:09:44.580 if you buy tuna, they'll change the price for mayonnaise. Oh, I see what you're saying. And
00:09:49.140 they've admitted to that? Well, they have patented a technology to do that. I see what you're saying.
00:09:55.100 So it's in writing with the U.S. Patent and Trademark Office. They have said that they're
00:10:00.140 not going to renew the patent when it expires, but it doesn't expire until 2039. And by then,
00:10:06.700 yeah we'll all be full of like some pricey tuna salad yeah that's right it's gonna be expensive
00:10:11.440 lunch is gonna get more and more expensive yeah oh god and back to like uh ticket master where
00:10:17.600 are you seeing um like like i know that ticket master is owned by live nation is that right
00:10:23.080 yeah and live nation also owns a lot of venues yeah does that allow for um more manipulation
00:10:29.620 within that space or what is because you see a lot of um bring something up about that trevin do
00:10:34.760 you have any um there's always articles about that was that oh yeah ticket master and live
00:10:41.280 nation had monopoly over big concert venues a jury finds a jury when was this is april of this
00:10:47.900 year a jury has found that concert giant live nation and its ticket master subsidiary had a
00:10:52.580 harmful monopoly over big concert venues dealing the company a loss in a lawsuit over claims brought
00:10:58.420 by dozens of u.s states a manhattan federal jury deliberated for four days before reaching its
00:11:04.260 decision Wednesday in the closely watched case, which gave fans the equivalent of a backstage pass
00:11:08.720 to a business that dominates live entertainment in the U.S. and beyond. What is it saying that
00:11:13.820 they found? The civil case initially led by the U.S. federal government accused Live Nation of
00:11:20.120 using its reach to smother competition by blocking venues from using multiple ticket sellers, for
00:11:25.340 example. They want to be the only seller in town, right? And they want to make sure that you don't
00:11:30.760 have competition, right? You can't get tickets from multiple venues or you can't get tickets
00:11:35.540 from multiple different ticket purveyors for the same show. So they're thinking if they own the
00:11:40.140 venue and they own the ticketing company, then they'll just put the tickets right for sale on
00:11:45.940 their own ticketing site, which allows them probably to have more possibility to manipulate
00:11:52.260 pricing if they want to. Absolutely. Look, it is very hard to gouge you or to overcharge you
00:11:58.220 if you can walk across the street and get a better deal.
00:12:01.100 And so competition and having more options in the economy
00:12:04.920 is gonna be a great way to keep prices more competitive
00:12:07.700 because, you know, comparison shopping
00:12:10.220 is how this works, right?
00:12:11.420 Let's say you go to venue A and you're like,
00:12:14.300 huh, like the price seems a little high.
00:12:16.200 If you can go across the street to venue B
00:12:18.300 and get a better price, you'll go to venue B.
00:12:22.160 Right.
00:12:22.440 And then venue A says,
00:12:23.680 hmm, like everyone's over in line at venue B today.
00:12:26.800 I wonder what's going on.
00:12:27.860 oh, maybe my prices are a little high
00:12:29.500 and he has to lower his prices.
00:12:31.740 Got it.
00:12:31.860 But when you have no competition in the economy
00:12:33.480 or little competition in the economy,
00:12:35.420 you're totally captive.
00:12:37.120 You're over a barrel
00:12:37.840 and you're subject to whatever pricing strategies,
00:12:41.800 whatever pricing setup,
00:12:43.380 like the take rate for the artists
00:12:45.280 is influenced by this too, right?
00:12:47.760 You're subject to whatever Ticketmaster decides.
00:12:50.040 You're really at their whim.
00:12:51.540 And in this specific instance,
00:12:53.760 what did they find?
00:12:55.820 And then what can we do from here?
00:12:57.860 Let me see. On April 15th, 2026, after four days of deliberation, the Manhattan jury found that Live Nation and Ticketmaster had illegally maintained monopoly power.
00:13:05.900 As of October 19th, the case still hasn't reached a final resolution.
00:13:09.940 The coalition of states that won has asked the judge to order Live Nation to sell off Ticketmaster.
00:13:14.420 That's a requested remedy, not an order already issued.
00:13:18.520 I mean, this would be the best outcome, right? If Live Nation and Ticketmaster had to split back up.
00:13:23.040 And so it wasn't one giant monopoly where they had control of the venues, control of ticket sales, all wrapped up in one.
00:13:31.260 And instead, Live Nation and Ticketmaster had to compete with each other and were separate entities.
00:13:35.980 Well, it seems like that's what the people want, right?
00:13:39.340 Like people have been angry at Ticketmaster for years.
00:13:41.580 I know that Pearl Jam had – like that was a thing years ago where it was like we're not selling our tickets on there.
00:13:46.500 Yeah, Pearl Jam.
00:13:47.020 I know Zach Bryan was doing a thing where he was having people enter like a – put their email in and enter a lottery on one of his tours.
00:13:57.220 Yeah, Grunge Rock, Titans, Pearl Jam, Battle with the Business in the 1990s, even filing an anti-monopoly complaint with the U.S. Department of Justice, which declined to bring a case then.
00:14:08.320 But how do – like whose fault is this at this point?
00:14:11.900 It's obvious what the people want.
00:14:14.400 How would something actually change in this case?
00:14:17.020 Yeah, look, in this case, the Department of Justice would need to step in and use the authority they have to break up monopolies, right? And to separate these two entities. And that's really what people are looking for. That's what these cases are about. And unfortunately, for decades now, the federal government has basically been Wall Street's playground, right? And corporate America runs roughshod over everything that would help you and I in Washington.
00:14:47.020 years, and I saw it firsthand, right? You'd be making some progress on some policy that would
00:14:52.860 protect Americans' pocketbooks, right? Let's say we wanted to stop the price gouging or stop the
00:14:57.040 surveillance pricing. And, you know, it takes a while for a law to wind its way through Congress.
00:15:03.520 And during that time, like armies of lawyers and lobbyists on behalf of corporate America
00:15:11.360 will descend on the Capitol
00:15:13.560 like vultures
00:15:14.800 and they will start getting to work
00:15:17.820 and they have a whole host of methods.
00:15:20.080 One thing they do is they try to delay it
00:15:22.360 because obviously the more time they have
00:15:25.560 to kill it or weaken it, the better.
00:15:28.080 So they'll say, 0.83
00:15:29.700 oh, this is a really interesting bill,
00:15:31.420 but it's not quite ready yet.
00:15:32.660 We need to take a closer look at it.
00:15:34.520 Or they'll say,
00:15:35.340 oh, you don't quite understand this policy very well.
00:15:37.860 Let our lawyers have a minute to take a look
00:15:40.340 and see what they can find and, you know, we'll help you make it better, right?
00:15:44.180 Or they'll just, like, load it up with loopholes.
00:15:48.260 So it's basically Swiss cheese by the end of the process.
00:15:51.000 Or they'll insert some seemingly innocuous little bit of language
00:15:55.520 that actually, like, completely eradicates and, like, makes the policy useless, right?
00:16:01.880 You know, they'll take people like me to lunch or, like, buy us drinks, right?
00:16:06.200 Or massages.
00:16:07.700 Yeah.
00:16:08.200 Or something.
00:16:09.240 Yeah.
00:16:09.420 I've never gotten a massage, but, like, even, like, when I announced that my book was coming out, my phone started, like, blowing up with lobbyists in town that I hadn't talked to in decades.
00:16:23.080 Just sniffing around, huh?
00:16:23.920 Yeah.
00:16:24.380 Just like, hey, Lindsay, like, congrats on the book.
00:16:26.500 What a big accomplishment.
00:16:27.720 Like, I'd love to take you for a drink.
00:16:29.560 And then I would Google them, and I would find that they were working as a lobbyist for Walmart or working as a lobbyist for DoorDash or Instacart or any of the companies in my book.
00:16:39.140 It's just it's just this incredibly insidious way in which the deck is really stacked against us and in favor of corporate America.
00:16:48.240 And I I just don't think it is going to change until we really, you know, stand up to the fact that corporate America runs Washington.
00:16:57.540 What are the ways that we would stand up to that?
00:16:59.920 Like, what is an actual standing up to that look like?
00:17:02.700 I feel like people want to.
00:17:05.740 Yeah.
00:17:05.900 It doesn't seem like it matters who you vote for.
00:17:08.140 nothing seems to matter what people want anymore. What can we actually do, do you think? Or what
00:17:15.100 does a solution hopefully look like over time? Yeah. I mean, I think there are a handful of
00:17:20.200 things we should do. The first thing that I would like to see is I'd like to see Congress actually
00:17:26.000 use their investigative powers to crack down on corporate America, right? And that's the
00:17:31.740 Department of Justice to do that? Well, like Congress, so, you know, they can hold hearings
00:17:36.140 and they can call in CEOs.
00:17:37.900 They have subpoena power.
00:17:39.080 Like they can call in the CEOs of Walmart
00:17:41.140 and DoorDash and Instacart
00:17:42.480 and all these companies that, you know,
00:17:44.660 we have found to be, you know,
00:17:46.960 running experiments on us
00:17:48.240 to get better at overcharging us.
00:17:50.660 And they can use their subpoena power
00:17:52.640 to ask these companies, like,
00:17:55.000 I want to know more about how you set prices.
00:17:56.960 I want to know more about
00:17:58.580 what these electronic shelf labels mean.
00:18:00.500 I want to know more about
00:18:01.600 what your new partnership
00:18:03.140 with this pricing AI company means.
00:18:05.020 And I think if Congress spent more time doing that, I think, you know, sunlight is a good disinfectant for one.
00:18:11.380 Also, I think it would inform the types of laws that they could pass to crack down on these practices.
00:18:17.540 Do you think that Congress is just they don't care?
00:18:19.540 They're not interested?
00:18:20.420 They're too in the pockets of lobbyists or that they're just too behind in the even the understanding of stuff?
00:18:27.080 I think it's a little bit of both.
00:18:28.120 I mean, absolutely. The lobbyists are pushing hard to make sure that they're the CEOs that they represent aren't in the hot seat. Right. That's a big part of the job is making sure that they don't get called before Congress. It's definitely the case that like the gerontocracy is real. And a lot of gerontocracy like what does it mean? Old people running the country. Oh, yeah. Like senators are too old. Right. They don't understand AI technology, for example. Like they don't understand the ways in which new technologies are ripping us off.
00:18:57.700 They understand pitiophilia, though, which is crazy.
00:19:00.640 So that seems like a crazy practice.
00:19:03.700 A gerontocracy is a form of government, society, and organization in which power is held by leaders who are significantly older than the majority of the population.
00:19:11.340 Yeah.
00:19:12.160 Like, I don't know what the average age in the Senate is now, but like, you know.
00:19:15.340 The over-under is Mitch McConnell, and it's not going well.
00:19:18.800 That dude is half a nap away from a coffin.
00:19:21.600 I mean, I remember once I was in a hearing.
00:19:24.160 Like I was staffing the hearing and, you know, we're in the hearing room and the hearing was over.
00:19:29.660 So it was time to leave the hearing room.
00:19:31.320 And I was like, why can I not get out the door?
00:19:34.020 And it was because one of the members, like his feet were not moving.
00:19:37.680 Like he was standing up, but he couldn't yet start walking.
00:19:41.460 And so we were all just like pretending it wasn't happening and just like standing there, you know, minding our own business.
00:19:47.680 But, you know, it feels like a nursing home in there, honestly.
00:19:51.880 You know, they're forgetting things.
00:19:53.460 They're asking their staff to print out things to write.
00:19:56.640 I mean, it is really time for, I think, a change.
00:20:00.080 But, you know, to answer your question, like, you know, for one, like, members of Congress should not be trading stocks because, you know, it's a conflict of interest, right?
00:20:08.500 If you're regulating an industry, you're getting all of this insider information.
00:20:12.360 And then at night, you're like, oh, telling your wife, oh, hey, you know, buy Palantir or whatever.
00:20:18.260 Go do this for me.
00:20:19.040 Yeah.
00:20:19.220 Like, you know, there is no need for our politicians to be wondering, oh, if I actually do something good for the American people, I might risk not getting reelected.
00:20:31.140 Like, those two things should be aligned.
00:20:33.200 Like, if you do good things, you should get reelected, right?
00:20:35.640 If you make my life easier, if you make my life more affordable, like, I should want to reelect you.
00:20:41.180 And when politicians are taking money from the very company that is literally, like, reaching its hand into my wallet, then their interests are at odds, right?
00:20:51.920 Yeah.
00:20:53.220 I'll say that life adds up fast.
00:20:56.480 A trip here, a dinner there.
00:20:59.140 Maybe you see a magic show or you hire a juggler or something for a wedding or a divorce.
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00:23:37.820 I heard you say a little bit ago about experiments that they were running on consumers.
00:23:42.240 What are some of those?
00:23:43.020 And do you talk about those in your book?
00:23:44.360 Yeah.
00:23:44.600 So the craziest experiment that I talk about in the book is an experiment that my organization ran with Consumer Reports and More Perfect Union in December of last year.
00:23:55.820 Okay.
00:23:56.120 And we ran an experiment on Instacart that exposed that Instacart was running experiments on millions of Americans while they shopped for their groceries.
00:24:05.700 Wow.
00:24:06.200 So we recruited 400 secret shoppers.
00:24:09.160 I mean, when I used to work retail and like, you know, you were always in fear of the secret shopper, right?
00:24:14.240 Oh, yeah, dude. We had some drunk guys that were always like buying turtlenecks or whatever at our pizza plate. And I don't know what it was. Anyway, that doesn't mean anything. But yeah.
00:24:26.460 So we, yeah, so we like hired these, like we got these volunteer secret shoppers and we said, all right, like fire up the Instacart app, set your pickup location, like, you know, a Kroger in Nashville, Tennessee, for example, buy these 23 grocery items.
00:24:43.580 The same items.
00:24:44.620 Yeah, exact same items.
00:24:45.560 Like get a dozen Lucerne eggs, get a 16 ounce box of Frosty Flakes, right?
00:24:50.540 Like the store brand Frosted Flakes, right?
00:24:52.340 Yeah.
00:24:52.520 It was normal stuff, like breakfast, lunch, dinner, deli meat, apples.
00:24:56.420 Cheez-Its.
00:24:57.400 I think we did, like, Tostitos.
00:24:59.580 Yeah, that's good.
00:25:00.880 Like, the normal stuff that you would buy, or maybe it was Ruffles.
00:25:03.340 Okay.
00:25:03.720 Okay, so it's 23 items.
00:25:05.320 We said, put it in your cart, and then just take a picture.
00:25:08.720 Like, take a picture of your—
00:25:11.040 Of the cart.
00:25:11.560 Of a cart, so that we know, like, what your cart total was
00:25:14.640 and how much you were going to get charged for every item in your cart.
00:25:17.600 And then we took all those screenshots,
00:25:19.140 and we had the team enter them into a spreadsheet,
00:25:21.340 and we just crunched the numbers.
00:25:23.600 And what we found is that for 75% of the items in the cart,
00:25:27.960 Instacart was charging different people
00:25:29.280 different prices at the exact same time
00:25:30.880 for the exact same item.
00:25:32.860 How were they basing the pricing on?
00:25:35.580 Was it just on where you lived?
00:25:38.220 Well, by the way, the price differences,
00:25:40.380 as much as 23%.
00:25:41.800 Wow.
00:25:42.340 So this wasn't like a nickel or a penny.
00:25:43.920 Like you could be charged 23% more
00:25:45.800 for a dozen eggs than me,
00:25:47.600 which could be like a buck 50 for a dozen eggs,
00:25:49.380 which is just insane.
00:25:50.180 eggs are already so expensive right now. Well, it's just not fair. It's like, what is the price
00:25:53.740 of it? Right. Like it used to be that if you and I went to the grocery store together and we stood
00:25:58.020 in line and we both bought a gallon of milk, we would get charged the same amount. Right. And if
00:26:02.220 we didn't, like you and I would look at each other and we'd like pull out our receipts and we'd be
00:26:05.840 like, one of us, you made a mistake. Like one of us got charged the wrong amount. Right. And now
00:26:10.120 it's like, no, that's not a mistake. Like that's the whole ball game. And what was it based on?
00:26:14.000 It was based on your location. So we held all of that constant. So same location, same store.
00:26:19.720 What we learned is that Instacart, they basically admitted this in their response to us when we released the investigation.
00:26:27.300 They were just running experiments to see how much they could charge us for every item in the cart.
00:26:33.100 And so they were just testing the outer bounds of like, you know, how much they could get away with charging for eggs, how much for milk.
00:26:40.700 Like, you know, if you were making a sandwich, they were trying to test how much they could get you to fork over for every single item in the sandwich.
00:26:47.640 Like the deli meat, the mustard, the lettuce, the tomato, the bread, right?
00:26:53.080 And actually, like, they admitted it.
00:26:55.260 They said, oh, yeah, this is just like our typical A-B testing that we do to, like, make life more affordable for Americans who are shopping on Instacart.
00:27:03.320 But they were letting people pay the higher prices.
00:27:05.560 They weren't just having it be, wow, that's not—
00:27:07.840 Yeah, of course.
00:27:08.680 Like, they were definitely charging the prices in the experiment.
00:27:12.200 And were they getting people's consent to do that?
00:27:14.220 Do they have to have people's consent?
00:27:15.520 No, you definitely didn't consent to this. And in fact, part of the reason that we knew that Instacart was doing this, like we designed our experiment expecting to be able to expose their experiment, is because they had purchased an AI company called Eversight.
00:27:31.200 And Eversight's entire reason for existence was that they built software to help companies run experiments on you without your knowledge. Like that's the whole ballgame.
00:27:42.340 Eversight is an AI-powered pricing
00:27:43.980 and trade promotion optimization company.
00:27:46.900 Eversight was acquired by Instacart in September 2022
00:27:49.040 to enhance its grocery pricing
00:27:50.660 and trade promotion technology.
00:27:53.760 Instacart faced regulatory scrutiny
00:27:55.380 and public backlash regarding dynamic
00:27:57.220 and inconsistent ad pricing tests through Eversight,
00:28:00.240 leading Instacart to wind down
00:28:01.940 in the Eversight AI pricing tool.
00:28:04.440 Wow, did you guys' findings help lead to that?
00:28:06.620 And wow, congrats.
00:28:08.260 Yeah, thanks.
00:28:08.820 Yeah, two weeks after the study was released,
00:28:10.920 they folded. And like right before Christmas, like December 22nd, they put up a little blog
00:28:16.100 post that was like, you know, maybe we got this one wrong. Like from now on, like two people who
00:28:21.740 are shopping at the same store at the same time will pay the same price. Wow. Yeah. But look,
00:28:25.840 this is like whack-a-mole because there are so many other companies that are doing the exact
00:28:29.740 same thing that Instacart is doing. Like we just did a couple of weeks ago an experiment with the
00:28:36.340 today show where we had everyone buy um harry styles tickets at madison square garden on stub
00:28:42.900 hub okay and the underlying ticket price was identical like you know we all bought the same
00:28:47.880 seat right like row m c4 or whatever and the underlying ticket price was the same right like
00:28:52.640 the resellers were not playing games with prices like they had a fixed price okay but stub hub
00:28:58.120 was experimenting on how much they could charge in fees to different concert goers and some of
00:29:05.680 the fee differences in this experiment were $60 difference. So, like, you could be charged $60
00:29:10.880 more for the, like, delivery fee, whatever that is. Like, they send you the QR code. I don't know
00:29:14.800 what, like, they're delivering. But, like, you could be charged $60 more than me for the delivery
00:29:19.580 fee. We have seen this when we have run experiments on Uber Eats and DoorDash, where we, like,
00:29:24.720 sit in the conference room. I mean, this is, like, what you do at a think tank. You, like,
00:29:27.580 you know, do research. So, we, like, order lunch, right? And we're, like, what's going on with Uber
00:29:31.980 eats and we'll all order the same item from mcdonald's for example and what you'll see is
00:29:38.460 that uber eats and doordash are running experiments on those delivery fees and service fees and things
00:29:43.440 like that charging some of us more than others for the like to deliver the exact same product
00:29:48.020 to the exact same location how are they determining that it's more to you or that you will pay more
00:29:52.380 like how do they determine that i'll pay more for a mcfish or whatever yeah then somebody else would
00:29:58.080 pay? Well, this is a great question. So over the summer, I testified for Josh Hawley in Congress.
00:30:06.280 H-A-W-L-E-Y? Yeah. He's one of the guys I see investigating this type of stuff the most. He's 0.57
00:30:11.400 a senator. Yeah, absolutely. I mean, he really has no fear when it comes to holding corporations
00:30:17.280 to account. And during the hearing, we talked about a patent that DoorDash had filed for what
00:30:25.060 they called their agitation index. Okay. And the agitation index was made up of 16 different
00:30:31.020 factors, but it included how quickly you scroll in the DoorDash app, how jerkily you scroll in
00:30:37.700 the DoorDash app, which I imagine was like, I don't know, like your blood sugar or something.
00:30:41.160 You're really hungry or hangry and you're just like, you know. Oh, if you're just like,
00:30:45.140 go, I need a damn McMuffin. Like right now. Yeah. By the way, your phone battery was one 0.99
00:30:51.200 of the variables because I guess if your phone battery is about to die, like you've got to get
00:30:54.520 the order in right oh really yeah like even if they know your screen like your brightness is set
00:30:59.300 really low like this guy has 40 seconds to get a 10-piece mcnugget right so like he'll probably
00:31:05.260 pay 40 for it right so price up yeah so all of this went into their agitation index and they
00:31:11.400 filed a patent that was going to allow them to connect the agitation index to um the types of
00:31:18.380 promotions that different um users got right so whether or not you'd get a discount or something
00:31:24.200 Detecting user agitation application interaction.
00:31:27.860 And this is on patents.justia.
00:31:33.160 Well, so interestingly-
00:31:34.880 It's Spanish justice, I guess?
00:31:36.000 We-
00:31:37.200 What does it mean?
00:31:38.260 Maybe it's Latin.
00:31:39.460 I don't know.
00:31:40.340 Justia.
00:31:41.520 A method includes retrieving by the user device from a database on the user device, historical data, and real-time client device data.
00:31:47.700 The method includes determining an agitation score based on the real-time client device data and the historical data.
00:31:52.980 and then performing an action based on the agitation score.
00:31:57.020 So that is what the patent is for?
00:31:58.840 Yep.
00:31:59.680 Wow.
00:32:00.240 Interestingly, I will say, you know, when, you know,
00:32:05.340 Josh Hawley and I talked about this in Congress and, you know,
00:32:08.420 it's like on the record, a couple days later,
00:32:12.060 DoorDash quietly withdrew the patent.
00:32:14.160 Really?
00:32:14.640 Yeah.
00:32:15.420 Yeah.
00:32:15.760 So some of this stuff, it's just shining a light on it.
00:32:18.500 Absolutely.
00:32:19.020 Right.
00:32:19.420 Absolutely.
00:32:19.860 Like in the book, I tell this crazy story.
00:32:22.220 In the 1990s, the CEO of Coke was down in Brazil, like probably thought no one was paying attention.
00:32:28.400 It's like the 90s in Brazil.
00:32:29.800 Yeah.
00:32:30.180 And he gives an interview to a Brazilian magazine and he announces in that interview or kind of, you know, brags about the fact that they are piloting installing thermometers in Coke vending machines so that they can charge you more for Coke on a hot day.
00:32:47.440 Really?
00:32:47.920 Yeah. And even in the 90s, like before stuff went viral on TikTok, like, and I don't know if this was in Portuguese or whatever, it was in Brazil, like this went crazy viral.
00:32:57.340 Is that a true story?
00:32:58.240 Yeah. Doug Ivester.
00:33:01.060 Doug Ivester casually revealed that Coca-Cola was developing and testing a new vending machine concept equipped with internal thermometers and temperature sensors.
00:33:10.100 because consumers desire for cold drinks increases in hot weather so it is fair that
00:33:15.620 it should be more expensive the machine will simply make this process automatic wow so they
00:33:20.200 were thinking about this early on customers were furious widely viewing the idea as predatory
00:33:25.020 corporate price gouging and exploitation rival pepsi cola sees the opportunity to publicly
00:33:30.040 criticize coke calling the strategy a scheme to exploit vulnerable consumers rather than benefit
00:33:35.160 at them. Yeah. Following
00:33:36.700 the swift global outcry, Coca-Cola
00:33:39.280 quickly backtracked, claiming the
00:33:41.100 concept was merely hypothetical
00:33:42.780 and there were no concrete
00:33:45.160 plans to deploy it widely.
00:33:47.080 Yeah, so he, like, pretended that it was
00:33:49.200 just, like, a joke. Like, he wasn't actually
00:33:51.200 planning to pilot these thermometers. 1.00
00:33:53.600 Bring up a picture of that sick bastard 1.00
00:33:55.160 who was thinking about doing that. 1.00
00:33:56.820 Doug Ivester.
00:33:59.220 Let me just get a gander at this 0.98
00:34:01.160 sick guy. 0.99
00:34:03.140 Guy. 1.00
00:34:05.780 I bet if you put a thermometer in his ass, 1.00
00:34:08.280 it would read that he's a real greedy little soda baby. 1.00
00:34:12.460 That's what I would say.
00:34:13.340 Anyway, that's a little bit much, but.
00:34:15.440 Well, you know, this happened with Wendy's too.
00:34:17.320 Oh, yeah.
00:34:18.280 Do you remember that?
00:34:19.120 Yeah, dude.
00:34:19.500 I freaking used to like Wendy's so much.
00:34:21.500 Yeah.
00:34:21.700 My mom would take me there sometimes.
00:34:23.480 I know.
00:34:23.820 You got to love a Frosty.
00:34:24.740 French fries dipped in the Frosty.
00:34:26.340 But dude, the Frosty's changed or the fries changed.
00:34:28.480 It's different now.
00:34:29.420 What's the difference?
00:34:30.560 They're worse.
00:34:31.180 I think they're worse or I'm getting better.
00:34:34.680 No, I don't have any, I have any idea.
00:34:37.560 Wendy's launched its hot and crispy fries nationwide in mid-September 2021,
00:34:42.000 marking only the second time the chain changed its core French fry recipe since 1969.
00:34:48.020 Huh.
00:34:48.420 It was maybe during the pandemic.
00:34:50.120 That's true.
00:34:50.820 The cut features a unique geometry with a thicker side. 0.99
00:34:53.960 Dang, Shoddy got that thickness on her. 0.90
00:34:56.140 for heat retention and a softer interior 1.00
00:34:59.200 plus a narrower edge for extra crunch.
00:35:02.380 Dude, I just want to fry.
00:35:04.400 Yeah, if it ain't broke, don't fix it, right?
00:35:06.320 Dude, what the heck?
00:35:07.820 God made it how it's supposed to be.
00:35:09.720 Just heat it up and pass it over the counter.
00:35:12.980 Pour the salt on it and get it in the box.
00:35:15.040 Yeah, you guys are over there.
00:35:16.380 Whatever you guys are doing,
00:35:17.680 torturing it, it sounds like.
00:35:19.400 So there's this concept called shrinkflation,
00:35:21.940 which is when the company charges you the same amount
00:35:25.180 or even more for an item that shrinks right like they start putting fewer potato chips in the bag
00:35:30.020 for example yeah and there's a similar concept called skimpflation and that's when companies
00:35:35.380 charge you the same amount or even more for like a worse product like a shittier product oh yeah
00:35:41.840 they've had a i used to buy these stance socks and they were the best socks in the whole world
00:35:45.640 and then a few years later they were not as good so i'm not saying they did anything but
00:35:49.940 my feet feels like they did yeah and like salad dressing companies will like start using less and
00:35:54.580 less oil and like sub it for water, right? Because it's cheaper or like ice cream. You have to be
00:35:59.640 careful with ice cream now because sometimes you're not even buying ice cream. You're buying
00:36:02.800 like a frozen novelty treat because they've swapped out all the dairy for like coconut
00:36:07.260 solids and things like that. And it's only just to save money? Absolutely. Yeah. Cutting back on
00:36:12.700 product quality. And the thing that's frustrating is like, they don't tell you, right? Like they
00:36:16.780 don't tell you they're changing the recipe or they don't tell you that they've swapped these
00:36:19.680 ingredients out yeah well it's crazy too it's like we used to put the water in at home because
00:36:24.620 we were poor like we'd put the water in and now you're putting the water in on your side right
00:36:29.520 because you're rich right like it's just like dude that was our trick at least let us do it
00:36:33.560 right extenders right like you're making your meat go further by like mixing it with milk or
00:36:38.720 like making your salad dressing go further by you know it's almost gone you like stick some water
00:36:42.880 in there put some water in there put a little bit of milk in there yeah um or to shake it enough
00:36:48.160 that there's more in there suddenly totally that was our thing if you shook something just enough
00:36:52.740 a little bit more would be in there yeah like one more squeeze yeah it's just like and also well
00:36:58.240 people don't even realize it's just the stress of all this lindsey the stress of like walking down
00:37:02.260 an aisle and just feeling like dude i walk into a place now and i just feel like i'm getting 0.64
00:37:08.440 fucked and i just want to go sit in my car yeah i don't know think people just want things to be 0.72
00:37:13.280 somewhat fair i think um i interrupted you though a few minutes ago you were talking about wendy's 0.99
00:37:18.140 Yeah. By the way, I think this is all about fairness at its core. Like this isn't about
00:37:22.020 economics. This isn't about technology. This isn't about public policy. This is about the
00:37:26.480 fact that pricing in this country is unfair now. Like the price tag enabled fairness, right? Like
00:37:32.640 it enabled predictability. Like if you're on a budget, you need to know how much groceries cost
00:37:36.980 week to week. And if prices are changing minute by minute in the grocery store, that makes budgeting
00:37:41.620 impossible. That's a great point. And the lack of predictability in pricing now is making life hard
00:37:47.960 for a lot of us.
00:37:49.560 I think the other thing that pricing allowed,
00:37:52.040 stable pricing allowed for is comparison shopping, right?
00:37:54.920 If you're on a budget,
00:37:55.760 you needed to look at a couple of different stores
00:37:57.720 to find the best deal.
00:37:59.220 Right.
00:37:59.700 And if prices are changing minute by minute,
00:38:01.560 by the time you get across the street to store B,
00:38:03.800 the price in store A has changed again.
00:38:06.340 So it does feel unfair.
00:38:08.360 And by the way,
00:38:09.320 the whole reason we have the price tag
00:38:10.880 is because the Quakers felt like haggling was unfair.
00:38:14.180 So that was like a historical thing.
00:38:15.700 Well, it says in the Bible too,
00:38:16.920 Isn't there about, what does it say that God threw out the money changers or something?
00:38:22.980 What does it say about that?
00:38:24.620 Trevon, you know what I'm talking about?
00:38:26.280 The temple in Jerusalem?
00:38:27.620 Yeah.
00:38:28.240 That Jesus Christ drove the money changers out of the temple in Jerusalem. 0.96
00:38:32.740 And what did the Quakers, what did they say?
00:38:36.540 Well, you know, haggling, they felt like it was unfair because when you haggle, different
00:38:40.180 people paid different amounts for the same item.
00:38:42.380 and they felt like all men were created equal under god and everyone should be paying the same
00:38:48.200 amount at the checkout line was basically their thesis and so in the late 1800s they did away
00:38:53.600 with haggling at their markets and charged fixed prices so everyone paid the same amount and you
00:38:58.760 knew how much you were going to pay you had some predictability and then john wanamaker who was a
00:39:03.380 philadelphia department store owner who built one of the first american department stores he was
00:39:08.500 like, I'm going to put a price tag in my, in my store. And he did. And he was the first person to
00:39:12.700 do it. And we've had it for 150 years. And so. So that you knew what it was, right? Oh, let me
00:39:19.120 read that. John Wanamaker was an American merchant and religious civic and political figure. He was
00:39:24.580 born in Gray's Ferry section of South Philadelphia. Let me see. What did he do? In 1861, Wanamaker
00:39:32.100 opened his first store in partnership with his brother-in-law, Nathan. Sorry, I said it like
00:39:38.380 I don't know him, but I've had a brother-in-law and it can be risky.
00:39:42.780 Nathan Brown, the store called Oak Hall was located at Sixth and Market Streets in Philly.
00:39:48.680 Oak Hall grew substantially based on Wanamaker's then revolutionary principle,
00:39:52.700 one price and goods returnable.
00:39:55.740 Yeah.
00:39:56.280 So there was a fixed price and also he allowed you to return stuff that you didn't like,
00:40:00.260 which was a big concept at the time.
00:40:02.020 Wow.
00:40:02.860 And what changed that concept over time?
00:40:05.780 I mean, look, I think pricing has gone high tech.
00:40:08.000 and companies have figured out how to reinvent the ripoff.
00:40:11.400 It's not like a new thing, like ripping you off.
00:40:13.700 It's been around for a long time.
00:40:15.180 But they're just using technologies to get better at it.
00:40:18.180 Yeah, well, that's one of the reasons why I like now just to go to,
00:40:22.340 there's a farmer's market that's on the corner.
00:40:23.840 It's not even a farmer's market.
00:40:24.840 It's just like, it's an Amish produce stand.
00:40:27.480 Yeah.
00:40:27.820 And they're open all the time, pretty much.
00:40:30.200 And I'll just stop by there and I just get like the six or seven things.
00:40:34.520 And the price is always the same.
00:40:36.140 And so maybe stores like that, maybe there will be opportunity for new, just more localized stores, do you think?
00:40:44.660 Like, how do we combat that?
00:40:46.920 Because usually there's a way, like if somebody wants to do so much greed, there's another way, it seems like, to be hopeful and for a new opportunity to come along.
00:40:59.000 Absolutely.
00:40:59.280 I think the way that we get out of this is consumers get frustrated enough that some companies feel like they can cut a different path and actually gain a competitive advantage by being the kind of company that doesn't rip you off, by being the kind of company that uses fixed prices.
00:41:17.220 And I know Aldi, for example, is like running commercials basically saying like, we're not going to use electronic shelf labels.
00:41:22.960 We're not going to rip you off.
00:41:24.040 and I've got to think that's in direct response to the fact that so many Americans are pissed
00:41:29.300 off at what's going on with Walmart right oh I like hearing that Aldi they have them in the
00:41:33.460 Midwest yeah they might have more places do they yeah they're in DC now which is where I am so I
00:41:39.060 know they're getting they're getting around the DMV the Maryland Virginia DC area yeah I used to
00:41:43.260 hear my grandma always saying we're going to Aldi's or whatever I don't even know if she went
00:41:46.760 She would just go smoke or whatever in the yard. 0.97
00:41:50.480 But she said she went.
00:41:52.740 But anyway.
00:41:53.920 So in the book, I have an example of the Savannah Bananas,
00:41:56.700 which is like a baseball team that's also kind of like a magic mic baseball.
00:42:01.220 Yeah, it's getting a little crazy.
00:42:02.600 You're starting to see a little more banana on some of these guys too.
00:42:05.100 Look at the guy on the stilts, huh?
00:42:07.400 That guy's got a little wiener on him in the middle.
00:42:10.940 I mean, what is that? 0.99
00:42:12.940 Anyway, this guy's trying to stay away from these chicks, it seems like. 1.00
00:42:16.760 is he signing autographs yeah i think he is um but no and that also might be a woman 0.88
00:42:22.820 dude yeah you don't even know what's going on anymore it's like they're
00:42:29.080 it's like it's just dynamic crotching it feels like out there it's like you think you got one
00:42:34.160 thing and you got something else but anyway what were you saying about the savannah bananas well
00:42:38.700 they you know like they're really popular oh people love them they sold out the superdome
00:42:43.640 in Louisiana, which the Saints have even had trouble doing this season.
00:42:47.720 Exactly.
00:42:48.160 Like they make real money, right?
00:42:50.600 And there's real demand for the tickets.
00:42:52.680 They don't use dynamic pricing.
00:42:54.740 Really?
00:42:55.080 Yeah.
00:42:55.500 Let's go.
00:42:56.400 Yeah.
00:42:56.840 How were they able to not do that?
00:42:58.940 Well, they do a few things, but like the posted price is the price, but they have a lottery
00:43:03.160 system.
00:43:03.780 So if you want to get tickets and there are more people who want tickets than there are
00:43:07.820 spots, you know, you sign up and then people are basically randomly assigned to get tickets.
00:43:14.280 So it means that some people don't get tickets,
00:43:16.620 but what it does mean is the tickets
00:43:18.440 don't go to the highest bidder.
00:43:19.500 So it's not a stadium filled with the richest people,
00:43:21.560 which is what happened with the World Cup, right?
00:43:23.680 Like the tickets all went to the highest bidder
00:43:25.380 and then you had all the like venture capitalists
00:43:27.300 who had seats in New York for the World Cup games.
00:43:29.500 And then you had some of the most passionate fans
00:43:31.860 who were watching it down the street at a sports bar
00:43:33.960 or like on the couch, right?
00:43:35.300 Right. Yeah.
00:43:36.100 How were they doing that for the World Cup?
00:43:37.680 Do you know?
00:43:38.300 Yeah. So for the first time in World Cup history,
00:43:41.720 FIFA used dynamic pricing at the American World Cup.
00:43:44.400 At the bequest of whom?
00:43:45.820 What made that happen, do you know?
00:43:47.160 FIFA made the decision themselves.
00:43:48.880 They felt like this is the U.S., the Americas.
00:43:52.360 People have got money here.
00:43:53.520 We're going to, like, go for broke and try to basically bring in more revenue than we usually do at other World Cups.
00:44:00.180 It says, by hosting across the United States, FIFA operated in a loose regulatory framework that permitted real-time algorithmic price fluctuations,
00:44:07.320 unlike previous host countries
00:44:09.180 with strict consumer protection laws.
00:44:11.940 Ah, FIFA integrated its own official resale marketplace
00:44:16.020 where it takes a 15% fee from the buyer
00:44:18.760 and a 15% fee from the seller on secondary transactions.
00:44:22.680 Wow.
00:44:23.520 Yeah, I mean, they did very, very well.
00:44:25.540 But I think it's a really good point, the US market,
00:44:29.100 because what they were really doing is saying,
00:44:30.760 look, the US market is a seller's market, right?
00:44:34.280 Look at Ticketmaster, look at StubHub.
00:44:35.880 Like, the Americans are used to getting bulked for tickets.
00:44:39.860 They're used to overpaying.
00:44:40.860 They're used to dynamic pricing.
00:44:42.260 Right.
00:44:42.560 The U.S. will allow the consumers who can't afford as much, it will allow them to be taken advantage of also.
00:44:51.580 Yeah.
00:44:51.780 The U.S. is fine letting poor Americans watch from sports bars. 0.96
00:44:55.800 That's what I mean.
00:44:56.180 Like, we're fine filling our stadiums with the wealthiest Americans.
00:44:59.060 That's how the whole country works.
00:45:00.780 Yeah.
00:45:01.020 That's how the NFL works.
00:45:01.960 That's how the NBA works, right?
00:45:03.320 Um, I, you know, it, it was basically FIFA saying, we're going to give the American people
00:45:10.200 what they're used to, and we're going to make Ticketmaster level money or StubHub level
00:45:14.540 money rather than regular kind of nonprofit FIFA money.
00:45:18.760 FIFA pulled in a record-breaking ticket sales totaling approximately 3 billion for the 2026
00:45:23.420 World Cup, an increase of roughly 216% compared to the 1 billion generator from the ticket
00:45:28.960 sales during the previous 2022 World Cup cycle in Qatar. Wow. But then there's also the argument
00:45:36.660 to be said that that's always how things have been throughout time, right? That the rich people get
00:45:42.220 to do all the stuff. Yeah. But like, it wasn't that way for FIFA at the last World Cup in the
00:45:48.020 US, right? And look, in all of these instances, you're making a choice, right? The company is
00:45:55.500 making a choice. Are you prioritizing revenues and profits? I mean, FIFA doesn't really turn a
00:46:00.580 profit. It's a nonprofit, but like most companies are for profit. Is profit your focus or are you
00:46:07.340 prioritizing something else like accessibility, right? Making sure that you, that everyone who
00:46:12.660 wants to see, you know, the most passionate fans, the most loyal fans, working class fans have a
00:46:17.900 chance to sit in the stadium once in their life. I mean, these, you know, the World Cup doesn't come 0.99
00:46:24.180 to the u.s frequently right it's once in a generation you know you have one shot at it
00:46:29.520 maybe your entire life and you know they could have prioritized making sure everyone had a shot
00:46:35.520 and instead they prioritized revenue and companies can prioritize fair prices instead of bilking us
00:46:42.780 yeah or a reasonable profit like we're not you know no one thinks that these companies are in
00:46:47.200 this for their health right like we're not asking companies to sell you know a hamburger at a loss
00:46:53.000 right nobody's nobody wants that nobody's advocating for that but they're making decisions
00:46:58.660 about how to charge you the absolute maximum they think you will pay for a hamburger instead of a
00:47:04.680 reasonable price for a hamburger and possibly a price that somebody else isn't even having to pay
00:47:09.560 exactly right like a price that changes as you're walking up exactly on even your attitude or your
00:47:15.060 mood like what if you're walking up you're smiling they might jack they might jack it up seven cents
00:47:20.300 You know what I'm saying? You got a smile tariff on you or whatever.
00:47:23.060 Okay. So this is real. We have done a deep dive into Walmart's patents and there are dozens of
00:47:29.460 patents over the last decade that Walmart has filed for cataloging all sorts of information
00:47:36.240 about how you look, biometric information, heart rate. They have patents for that. Glucose levels.
00:47:44.100 They have patents for retinal scanning, things like that. They updated their privacy
00:47:49.240 policy recently and it included biometric data. Like you're signing away the fact that they
00:47:55.000 collect biometric data. What do you mean? Like even when you pull onto their premises or if you
00:47:58.740 pull like, how are they absorbing this biometric data? Yeah. So this privacy policy was for online
00:48:03.100 shopping. So this was mostly for online shopping, but yeah. Okay. So here are a couple of the
00:48:08.940 weirdest ones. And we named them. So Walmart didn't come up with these names, but we just
00:48:13.580 felt like they should be more excessively named. Okay. So the craziest one I think is the one
00:48:18.640 called the Karen patent,
00:48:19.940 which is Walmart has created
00:48:22.460 or they applied for a patent
00:48:24.760 to develop what they call
00:48:27.500 an appeasement engine.
00:48:29.560 And the appeasement engine
00:48:31.060 is something that assesses
00:48:34.620 your demographic information
00:48:35.800 and what they refer to as your persona.
00:48:38.220 A little hard to know
00:48:38.900 like what all they're including in persona.
00:48:41.080 And they use it to estimate
00:48:43.000 basically how easy it is
00:48:44.880 to get you to go away,
00:48:46.240 which is why we call it
00:48:47.000 the Karen patent, right?
00:48:47.960 To get you to leave the premises?
00:48:49.560 Well, without like getting a refund, right?
00:48:51.720 Like, are you someone who's going to raise a stink and we've got to like give you a discount
00:48:55.120 or a refund?
00:48:56.460 Or are you something who we can like, you know, say, oh, I'm sorry this happened to
00:49:00.620 you today, ma'am.
00:49:01.260 And you'll like walk away without asking for something. 1.00
00:49:03.620 Or are you somewhere in the middle and like we have to give you some pencil shavings,
00:49:06.840 like a coupon for your next purchase or something like that, right?
00:49:10.960 And they'll be able to know just on if you've been at the store before, what your behaviors
00:49:15.640 have been like in the store, et cetera, stuff like that?
00:49:17.560 Yeah, it's a little hard to know, like, everything that companies use now, but purchase history is something that companies track, particularly for in-app shopping, right?
00:49:25.520 They know exactly what you buy, which store you go to, you know, what you buy frequently.
00:49:30.500 They use your location.
00:49:32.160 They often can either estimate your demographic information or sometimes they know your demographic information.
00:49:38.100 Wow.
00:49:38.420 So things like your gender or your race.
00:49:40.420 um you know in another one of these patents they're taking pictures of your car to like
00:49:46.260 measure the suspension change so like i guess if you buy a bunch of stuff your suspension
00:49:50.920 changes right the car's heavier on the way out and so they're just like taking a look um yeah
00:49:57.620 it's kind of perverse just looking at your rear or whatever a friend of mine if you're looking at
00:50:03.600 my rear suspension yeah totally dude what are you talking about look away yeah this is the
00:50:09.820 parking lot profile, a friend of mine was saying that her, um, you know, her parents were divorced
00:50:13.840 and they used to do the drop off in the Walmart parking lot. Right. So like, you know, mom, mom
00:50:19.440 would, mom would pick up, you know, little Liz from dad. And so like, obviously that like Walmart
00:50:25.300 would have clocked to like 75 pounds, like change in suspension. What a great interview show would
00:50:32.120 just be interviewing the kids as they go between how many kids like, we're like, yeah, I guess at
00:50:37.760 some point we like lived right outside of a Walmart or whatever because that's where my parents would
00:50:41.900 like kind of switch us out do the switch yeah because yeah my dad would drop us off over there
00:50:46.480 they had a Burger Kings that had a um it had a playpen in it or whatever yeah and he'd give the 1.00
00:50:53.800 lady at the front $40 or something to watch us all day I'm like dad that lady doesn't even
00:50:58.020 this is a restaurant or whatever and he's like no it's not it's whatever you need it to be you
00:51:03.360 tell me and we'd play in a play area for freaking six hours or whatever till our mother came
00:51:07.840 but um yeah it says walmart can set the price you pay based on how far you drive to the store or how
00:51:14.460 much weight your car gains between when you enter the parking lot and when you leave one patent
00:51:20.180 application details how cameras in the parking lots could photograph vehicle suspensions on entry
00:51:24.540 and exit to measure the gap between the wheels and wheel wells to infer whether the car got heavier
00:51:29.740 from the customer's purchases.
00:51:31.960 That's so bizarre.
00:51:32.980 Why would they even want to know that information
00:51:34.580 just to know if you bought stuff?
00:51:36.180 I don't know.
00:51:36.660 I mean, like corporate surveillance is getting,
00:51:39.920 it's over the top, right?
00:51:41.280 It's way outside the bounds of what it needs to be.
00:51:43.960 Like Walmart doesn't need to know about my retina.
00:51:46.260 They don't need to be connecting their Walmart app
00:51:48.940 to my fitness wearables to know my heart rate.
00:51:51.960 I mean, one of these patents says
00:51:53.120 that they know your baseline heart rate
00:51:55.360 and when your heart rate increases,
00:51:56.760 so they can tell like what foods are exciting you.
00:52:00.580 Like if you're in the ice cream aisle
00:52:02.120 and your heart rate increases,
00:52:03.220 you're interested in ice cream.
00:52:04.840 Yeah.
00:52:05.520 But like, this is just not information
00:52:07.020 that Walmart really needs to know.
00:52:08.940 Yeah, what?
00:52:09.580 Let me see.
00:52:10.140 Oh, this says pulse check.
00:52:11.980 Walmart can tell your favorite Ben & Jerry's flavor
00:52:13.640 by seeing which one makes your heart race.
00:52:17.060 It may reveal which flavor the customer
00:52:19.580 is more likely to purchase.
00:52:22.240 But then how do they know which one you're looking at?
00:52:24.180 Is there also monitors?
00:52:25.400 So a lot of times if you look in a freezer door and you see one of those screens on the freezer door and you think it's just like an electronic, you know, advertisement, those often have cameras in them.
00:52:36.340 Wow.
00:52:36.780 Yeah. So they clock like how long you're standing in front of the freezer door, like how long you're dwelling. They might be able to pick out your like if you're a man or a woman, how tall you are, if you're a kid or if you're older. There are a couple of companies now who sell that product. And a lot of times they're in end caps, too.
00:52:54.060 so like that those like displays at the end of an aisle oh yeah if they have a virtual display a
00:52:58.860 screen there's a good chance there's a camera inside well sometimes on those end caps and
00:53:03.040 that's at the end of an aisle when you're going around to the other aisle um they'll have like
00:53:07.740 kind of hot they'll have like collab products on there things you've never seen before they'll have
00:53:12.420 like um uh peanut butter spaghetti or something or like uh they'll have like barbecue flavored
00:53:19.180 napkins oh yeah that's a good example the screen is right there right so there's a good chance
00:53:23.120 there's a camera on the screen. Dang. Yeah. Two way. Oh, that's crazy. Yeah. They'll have like
00:53:28.460 brownie flavored, uh, Pepsi. They'll have like weird stuff they shouldn't have. Yeah. We couldn't
00:53:33.800 even turn to the next aisle without wanting to see something else you could buy. That's the most
00:53:39.320 American thing ever. They'll have like a sour cream and onion batteries or something, or they'll
00:53:43.800 have like just stuff that you shouldn't even have to like, like barbecued broomsticks or whatever,
00:53:49.220 you know, they'll have things that just like, you know, that they shouldn't even have like
00:53:52.420 peppermint flavored paper towels or whatever, or pomegranate slippers or something like that,
00:53:58.300 or a lot of interesting stuff on the end caps. Anyway, go on.
00:54:01.420 No, no, this is like, this is a big part of retail design, right? Like I used to work in
00:54:05.500 the mall growing up and, you know, this guy, Victor Gruen from Minnesota, like it's called
00:54:10.620 the Gruen effect. He built malls to keep you shopping, right? Similarly, casinos are built
00:54:16.040 to keep you gambling, right? Like they'll use curved walls instead of straight walls,
00:54:20.360 because if you have a straight wall, you can, like, see the exit.
00:54:22.940 But if you have a curved wall, you're sort of, like, gently sort of pushed to look inside.
00:54:27.780 So you keep looking at the tables.
00:54:29.200 You keep looking at the slots, right?
00:54:31.780 And the same is true at the mall.
00:54:33.140 Like, it's impossible to get to the escalator.
00:54:34.760 It's impossible to get to the elevator.
00:54:36.500 The food court is, like, a 30-minute hike to the other side of the mall
00:54:40.020 because they want you to pass all the stores and keep shopping rather than get out.
00:54:45.800 In shopping mall design, the Gruen transfer, also known as the Gruen effect,
00:54:49.480 is the moment when consumers enter a shopping mall or store
00:54:51.980 surrounded by intentionally confusing layout,
00:54:55.960 lose track of their original intentions,
00:54:58.360 making them more susceptible to making impulse buys.
00:55:02.100 It is named after Austrian architect Victor Gruen
00:55:06.560 who disapproved of such manipulative techniques.
00:55:10.520 But if he disapproved of it, why'd they have it?
00:55:13.580 Oh, in a speech in London in 1978,
00:55:16.640 Victor Gruen disavowed shopping mall developments
00:55:18.820 as having bastardized his ideas. 0.99
00:55:21.480 I refuse to pay alimony to those bastard developments. 0.99
00:55:24.740 The psychologist involved in these studies found 0.99
00:55:27.180 that the size and appearance of such a shopping center
00:55:30.500 have a special pull effect on customers.
00:55:33.680 The moment a customer enters a mall
00:55:35.040 and is overwhelmed by the size,
00:55:36.600 intentional clutter, and glitz of the mall,
00:55:39.360 they forget their original goals
00:55:40.660 and become susceptible to sales manipulation.
00:55:43.800 They become an impulse buyer.
00:55:46.580 Supermarkets, for example, in the food industry
00:55:48.240 also used the experience of the Gruen effect to slow things down, to direct attention when
00:55:53.200 placing products or to confuse the business through frequent remodeling. Oh, I see. So he
00:55:58.780 had this theory, but then they, so why was he? It sounds like he felt guilty later in life and
00:56:03.940 sort of came clean, right? And tried to like apologize for what he had, the havoc that he
00:56:08.960 wreaked on the American shopper. Yeah. But yeah, he was one of the architects of this design. I
00:56:14.440 I mean, another example is, like, they always put the stuff that kids like on the bottom shelf.
00:56:19.680 So, like, when I go to the store with my toddler, it's like, you know, he immediately sees the, like, $75, like, excavator at Target, right?
00:56:27.980 Because it's right at his eye level, like, on the bottom shelf or, like, the second highest shelf.
00:56:31.040 So they do that so they can hold it up to the parents?
00:56:33.240 Yeah, because, like, they want kids' products at kids' eye level so that they can, like, tell mom, like, buy the excavator, right?
00:56:39.280 Okay.
00:56:39.880 Yeah.
00:56:40.320 Wow.
00:56:40.680 Yeah, but everything about like supermarket design, mall design, retail design is like really carefully thought through, you know, to make sure you leave with as much as possible.
00:56:51.140 We used to love the mall, dude.
00:56:52.440 We used to go camp out overnight.
00:56:54.060 We would camp out outside the mall in a tent.
00:56:57.300 We would get tents and camp out out there and then go to the mall again the next day.
00:57:01.100 The mall was cool.
00:57:02.760 They'd always have like some people pray, like wishing and by the fountains or whatever, you know.
00:57:08.180 Yeah, the fountains were great.
00:57:08.840 Yeah.
00:57:09.560 They'd always have like someone, 1.00
00:57:10.720 we had like some dude wishing he wasn't gay over there 0.97
00:57:12.920 and always throwing all his money in there. 0.99
00:57:14.940 But I don't know if he was or not.
00:57:16.280 I don't know how it played out,
00:57:17.460 but people would be out there wishing
00:57:18.680 they had a really nice fountain in there.
00:57:20.940 But we would camp out.
00:57:22.380 We would get dropped off on Saturday
00:57:24.540 and we'd go to the mall,
00:57:26.460 camp in the tents outside and go back in on Sunday. 0.92
00:57:29.120 You were like a true mall rat.
00:57:30.640 We loved it. 0.85
00:57:31.560 It was fun in there
00:57:32.340 because you got to see stuff you couldn't even see,
00:57:34.680 you know?
00:57:36.440 Hello, business owners.
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00:58:41.060 They don't F around.
00:58:43.820 What was the one we were just going over?
00:58:46.400 Oh, yeah, the pulse check in Walmart.
00:58:49.100 Customers would be tracked within the store using facial recognition on store cameras,
00:58:52.720 drones flying around the store,
00:58:54.580 or cell phone signals when you're connected to the store's Wi-Fi.
00:58:58.600 Then data from the heart rate and glucose monitors could reveal
00:59:01.460 how the customers feel about ice cream flavors.
00:59:03.660 if pulse or glucose levels are different when a customer looks at two different ice cream flavors
00:59:08.840 it may reveal which flavor the customer is more likely to purchase
00:59:13.440 what why who cares i'll just tell you if you ask me right i mean this is the crazy part and look
00:59:22.100 like walmart like i'm in a little bit of a fight with walmart about this because they keep saying
00:59:26.440 like we don't do any of this just because you know we patent all of this technology just because we
00:59:31.280 talk to our investors about all of this stuff, just because 30% of our net operating income now
00:59:36.460 is coming from our media business, which includes all of this data collection, doesn't mean we use
00:59:41.220 it. And it's true. They wrote a response letter to you. Was it when your book came out or was it
00:59:45.440 a study that you released? I saw that, that they wrote a response letter specifically citing you
00:59:50.220 in it? Yeah. So they, they published an open letter from the CEO like three days before my
00:59:54.920 book came out. And then a week after my book came out, they escalated and they published a letter
01:00:02.460 to me by name and they posted it on their website, which is pretty crazy. Like just, I mean, you just
01:00:07.680 met me. Like why is Walmart like writing letters to me on their website? Because you're doing good
01:00:11.580 work. I'll tell you that. Um, and this guy, Dan Bartlett is there like, um, he's their lobbyist
01:00:17.600 basically. He's their federal affairs flack. Let's get a gander at him. Bring up Danny Bartlett.
01:00:22.480 He used to be the press secretary for Bush during the Iraq war.
01:00:26.460 Anybody could have done that.
01:00:30.120 Anybody could do that. 0.99
01:00:31.680 You see that woman the other day, she didn't even know she wasn't a lawyer. 0.65
01:00:34.440 And they let her do it. 0.99
01:00:36.500 If I meet one more lawyer.
01:00:39.780 Oh, Dan Bartlett, that's him right there.
01:00:42.960 So he's okay if they do some of this stuff?
01:00:45.400 Well, he basically wrote a letter saying that, like, I shouldn't be talking about their patents
01:00:49.760 because just because they patent these technologies
01:00:52.960 doesn't mean that they're actually deploying
01:00:54.660 these technologies in the store.
01:00:55.960 Then what do you have these patents?
01:00:56.940 That would be our question.
01:00:58.080 Yeah, exactly.
01:00:58.660 Why do you have it?
01:00:59.440 Also, like, I gotta be honest,
01:01:01.480 I can think of a lot of things
01:01:02.700 that I would rather Walmart's lab be cooking up.
01:01:05.700 Yeah.
01:01:06.000 Like, I would like for them to make better ice cream.
01:01:08.620 I would like for them to make a Tide stick
01:01:10.460 that actually works and, like, removes a stain, right?
01:01:13.800 Yeah, and shopping carts
01:01:15.820 that if you're using drugs or whatever,
01:01:17.720 you can take them out of the lot.
01:01:19.520 Right.
01:01:20.020 Don't lock up.
01:01:21.340 Yeah, exactly.
01:01:21.940 What happened to that, dude?
01:01:22.940 The best thing used to be seeing your buddy across town.
01:01:25.860 We had a cool guy who would put a sail on his.
01:01:28.100 He used to sail before he got into opioids or whatever,
01:01:30.760 and he'd have a cool sail on his cart,
01:01:33.280 and he would be out there just riding the winds of the community.
01:01:37.520 Pull back up.
01:01:38.300 Let me read this letter.
01:01:40.760 Shout out to my boy who was out there.
01:01:43.300 Hard to starboard, brother.
01:01:44.680 That's what we'd say every time we saw him sailing by.
01:01:46.820 Hard to starboard.
01:01:48.540 Dear Ms. Owens, dude, they came for you here.
01:01:52.360 Yeah, right at me.
01:01:53.760 Your recent public statements repeatedly mischaracterize Walmart's pricing practices and use of technology.
01:01:58.740 They leave audiences believing Walmart uses or is preparing to use customers' personal information or changes in the weather to charge them more.
01:02:06.880 Your account does not accurately describe our practices or our plans, so we're asking you to correct the record.
01:02:14.160 The facts are straightforward.
01:02:15.800 We price products, not people.
01:02:17.680 Walmart does not and will not use an individual customer's personal information, income, shopping history, urgency, or willingness to pay to set an individualized price.
01:02:27.320 Yeah.
01:02:27.500 And then I responded because I felt like it shouldn't go unanswered.
01:02:31.160 And so we put a response up on the website.
01:02:33.640 What did you say?
01:02:34.500 I mean, I said a couple things.
01:02:35.500 One thing I said is, you know, they're accusing me of creating confusion for the customer.
01:02:40.940 And I said, the confusion is created by you because you say one thing in your patents.
01:02:46.020 you say another thing when you talk to your investors behind closed doors when you're in
01:02:50.220 New York at the Goldman Sachs retail summit and you can't stop bragging about all of these new
01:02:54.940 technologies and then you say something really different in your cleanup letters to me right
01:02:59.740 when you get caught and that's what's creating the confusion and I also said look if you're
01:03:04.460 serious about the fact that you're not planning to use any of this there are some remedies the
01:03:09.520 first thing you can do is if a patent application is pending you can withdraw it tomorrow like we
01:03:14.500 saw that DoorDash did that, right? You can withdraw your patents. If a patent has already
01:03:18.740 been granted, you can relinquish it. You can say, look, we got this one wrong. Like, we're not going
01:03:22.420 to use this patent. Instead, they have only said that they will not renew one of the patents.
01:03:27.640 They haven't addressed any of the others. And that patent doesn't expire until 2039.
01:03:32.120 So they're not moving quickly. And then the last thing I said is, you know, I think that they,
01:03:38.220 at this point, just because of all the new technologies, the new privacy policy,
01:03:42.040 the electronic shelf labels like people are feeling really confused by the economy right now
01:03:47.640 it's like creating a lot of uncertainty for folks but also new technologies and ai is scary
01:03:52.900 and if they want to create more comfort for their consumer i think they should sort of open the hood
01:04:00.220 and tell us how the pricing works and maybe even do it with a third party because no one trusts
01:04:04.880 them anymore so bring in an auditor who tells us like here's what the electronic shelf label
01:04:09.760 you know algorithm is doing here you know they have this new chatbot sparky i don't know if
01:04:14.880 you've used sparky so like in the walmart app they now have an ai assistant and in their um
01:04:22.460 investor calls and when they're at the retail summit with like all of the other big boys in
01:04:26.820 retail they keep talking about how sparky cart totals are 40 percent higher than non-sparky
01:04:32.400 cart totals why why would they why would someone pay more just because they're using sparky well
01:04:37.360 they're buying more and they're buying more expensive stuff. And so it raises, I think,
01:04:42.100 a really reasonable question, which is like, what's Sparky up to? Like, is Sparky steering
01:04:47.400 you to higher priced items? Is Sparky upselling you? Is Sparky adding stuff to your cart? I mean,
01:04:52.800 these are all questions that I think are important to ask in this new era of AI-enabled
01:04:59.800 commerce, right? Where people are using AI assistants in different retail locations or
01:05:04.320 personal assistants, you know, we could be unleashing what I view as the most sophisticated
01:05:10.580 snake oil salesman the world has ever known. Like when these AI agents start shopping and
01:05:15.500 steering us towards higher priced products and going shopping for us, you know, I think there
01:05:20.560 are some big changes afoot. It just, and do you think a lot of this is just powered by greed,
01:05:25.300 really, is it? Absolutely. Absolutely. Look, when I started studying the economy,
01:05:30.240 cost cutting was always the major focus for companies right yeah how do we get our labor
01:05:35.240 costs down we'll like outsource their jobs abroad right with trade deals we'll misclassify workers
01:05:42.120 as gig workers so that we don't have to cover their health insurance like we'll fight minimum
01:05:46.200 wage laws so that we don't ever have to pay you ten dollars and we can keep paying you seven dollars
01:05:50.140 and that was the sort of standard form of like ruthless american capitalism and now price hiking
01:05:58.480 is also part of the equation and charging you as much as you're willing to pay is the new frontier
01:06:05.420 for corporate greed and corporate profiteering. Damn. God, I just want to go to another planet 0.99
01:06:13.100 where it's different. You know, it makes you like, I don't know.
01:06:19.120 I just don't even know. You guys can edit out the most depressing stuff to keep it later.
01:06:23.060 No, it's okay. I mean, most of this history of this podcast has been kind of depressing, but
01:06:26.420 um but it's just like i don't know but maybe we're at the bottom maybe like
01:06:33.320 i don't know maybe something will happen all these greedy people who knows you have to think
01:06:41.240 maybe something would happen you know like you're saying shining a light on things is something
01:06:45.580 that's starting to change things yeah absolutely let's get back to just some of the um some of the
01:06:51.260 other types of ways that companies are using technology, um, to increase pricing or to take
01:07:00.360 advantage of consumers. Um, there's something that's called a surveillance pricing. What is
01:07:05.400 that exactly? Yeah. So surveillance pricing is a term that's more accessible than personalized
01:07:10.820 pricing. Um, but personalized pricing is the practice of collecting information about you
01:07:17.920 to determine exactly how much to charge you.
01:07:21.420 Where are they collecting the information from?
01:07:23.260 Unfortunately, the answer is almost everywhere.
01:07:25.400 So they might be using your geographic information.
01:07:28.680 We know that Expedia charges people more
01:07:31.020 for the same hotel room in Manhattan
01:07:33.480 if they log on from a wealthier part of the country.
01:07:36.680 So if you log on from the San Francisco Bay Area,
01:07:39.000 they're like, oh, $300 more a night
01:07:40.580 for that hotel room, right?
01:07:41.820 That would be one example.
01:07:43.820 But it's not always like willingness to pay
01:07:45.940 isn't always about how much money you have, right?
01:07:49.120 Sometimes you're willing to pay a lot
01:07:50.800 because you're desperate
01:07:51.640 or because you need something urgently.
01:07:53.940 Yeah, somebody could have passed away
01:07:55.380 or you just don't have a choice.
01:07:56.820 That's such a good example.
01:07:58.020 So JetBlue, there was a flyer
01:08:00.980 who was trying to get to a funeral
01:08:02.120 and he tweeted about the fact
01:08:04.260 that the price for the airline ticket on JetBlue
01:08:07.100 went up like $200 overnight.
01:08:08.800 And he just tweeted like,
01:08:10.020 hey dude, like I'm just trying to get to a funeral,
01:08:11.800 like what gives?
01:08:13.160 And JetBlue's corporate Twitter account responded
01:08:15.840 and tweeted at him, um, you know, sorry for your loss. Have you tried clearing your cash or
01:08:22.600 shopping in incognito mode? Wow. I mean, talk about like an insane confession in broad daylight.
01:08:28.780 Yeah. Like, Oh, by the way, have you thought about like trying to trick us so that we don't
01:08:32.700 scam you? Yeah, dude. Have you thought about trying to trick us so you can see your friend
01:08:38.300 off to heaven decently? Right. That's crazy. It's insane. Right here. It says, I love flying
01:08:44.300 jet blue, but a $230 increase. And this is from nugget since 94 and shout out nug. Uh, I love
01:08:51.860 flying jet blue, but a $230 increase on a ticket after one day is crazy. Crying emoji, heavily
01:08:58.340 crying, not just a tear. I'm just trying, make it to a funeral. And then jet blue said, try cleaning
01:09:04.660 your cash and cookies are booking with an incognito window. We're sorry for your loss, dude.
01:09:09.580 Actually, we're sorry. We just lost a little bit of money by giving you the truth. The tip.
01:09:13.380 that's what they're so sorry about wow yeah i mean look the company came out later and said like
01:09:18.900 whoever had the keys to the twitter account misspoke and shouldn't have said that and they
01:09:23.160 definitely don't do this um but yeah the company rep says the post was an error that's unbelievable
01:09:29.220 yeah but it was a pretty stark moment like and i think it does really show like you know like
01:09:34.340 i have a toddler like if my kid is sick um i'll pay 15 for children's tylenol right like you've
01:09:40.720 got me over a barrel. I'm desperate. I need something urgently. So it's not always just
01:09:44.700 going to be about soaking the rich. It's going to be about figuring out how to squeeze all of us
01:09:49.000 a little bit more in every scenario. How are they getting all of this data?
01:09:54.160 Yeah. Unfortunately, we give a lot of it away. So when you sign into a loyalty program,
01:10:00.100 I mean, that's just a data harvesting operation. That's all that is. Absolutely. I mean,
01:10:04.660 initially, you know, they offer the perks and the freebies and the coupons, and maybe you can't
01:10:09.720 even access the preferred pricing without logging into the loyalty program. But look,
01:10:15.060 loyalty programs are doing two things. The first thing they're doing is hovering up all your data
01:10:18.920 and selling it. 30% of Kroger's net operating income comes from what they call their alternative
01:10:24.400 profits book of business. So this is not groceries. This is your data, right? Selling
01:10:29.960 your data. So 30% of Kroger's profit comes from? Not selling groceries. Not selling groceries.
01:10:37.180 And it includes the sale of your data.
01:10:39.680 That's a fact?
01:10:40.520 It includes the sale of your data?
01:10:41.820 Yeah.
01:10:42.120 The sale of your data is big business at stores like Kroger.
01:10:45.660 Look, loyalty program data is very comprehensive because, you know, you go grocery shopping
01:10:51.160 twice a week, every week for your whole life.
01:10:53.480 Right.
01:10:53.840 Trevon, do you have that?
01:10:54.880 Let's play that real quick.
01:10:55.940 Can we play this thing long?
01:10:56.900 It's 41 seconds.
01:10:57.460 Let's play it.
01:10:58.840 62 pages.
01:10:59.720 62 pages of personalized data on this one person based on his shopping history last year kroger
01:11:09.660 earned over 500 million dollars from selling yes selling the data that it harvests from its loyal
01:11:16.500 customers and giving it to other corporations you know that accounts for 33 percent of its net income
01:11:23.900 last year. A third of its income came from selling the personal data of its own customers. Let me
01:11:30.100 just say that again. Kroger made half a billion dollars by tracking its customers in store and
01:11:36.020 online and then selling that to other people. That's unbelievable. So if this is accurate,
01:11:40.780 then Kroger, then almost a third of their business then, according to that, if it's accurate,
01:11:45.960 is selling your information. It's not even groceries anymore.
01:11:49.080 Yeah. Like selling groceries isn't enough to like feed the beast and keep the shareholders
01:11:52.800 is coming back for more.
01:11:54.320 We've got to figure out a way
01:11:55.140 to increase our revenues every quarter
01:11:56.880 and create more sugar highs. 0.57
01:12:00.140 Yeah, it's absolutely disgusting.
01:12:01.360 Who runs Kroger?
01:12:02.220 Who's the CEO? 0.98
01:12:03.680 Bring up this fricking money gooner. 0.95
01:12:06.880 Some guy. 0.79
01:12:08.500 Oh, new, February, 2026.
01:12:11.140 Greg Foran, a New Zealand businessman.
01:12:14.920 Man, most of the New Zealand people I know
01:12:16.380 are awesome people.
01:12:17.720 I know, I love the Kiwis usually.
01:12:18.800 I know.
01:12:19.660 Dude, how can you be named after a piece of produce
01:12:21.940 and you're not even trying to decently sell it to people. 0.99
01:12:26.360 If you were Kiwi, bro, 0.94
01:12:27.620 freaking slang them at a fair price. 0.99
01:12:29.560 Oh, looky there.
01:12:31.520 Walmart and Air New Zealand.
01:12:33.620 Wow.
01:12:34.240 A New Zealand businessman
01:12:35.100 who has served as a chief executive officer of Kroger
01:12:37.380 since February, 2026.
01:12:39.140 He was previously the president and CEO
01:12:40.660 of the American division of Walmart
01:12:41.960 and was a chief executive officer of Air New Zealand
01:12:44.660 from 2020 to 2025.
01:12:47.340 Well.
01:12:48.320 This is like the perfect resume
01:12:50.080 for high-tech price gouging.
01:12:51.940 Like, all of the tricks that companies use originated in the airlines.
01:12:56.960 Really?
01:12:57.320 Like, they were the original inventors and exporters of all of the worst practices.
01:13:02.300 Like, dynamic pricing started in the airlines.
01:13:05.020 Unbundling, the practice of, like, selling you a seat on the plane, but then, like, you have to pay extra for luggage.
01:13:11.800 You have to pay extra to, like, actually pick which seat you want on the plane.
01:13:15.240 All of that started in the airlines and then has been exported to other industries.
01:13:19.440 You know, I think the airlines are looking into surveillance pricing. I mean, it's been hard to pinpoint, but they're certainly partnering with a lot of companies who build surveillance pricing tools. So it stands to reason that that's where they're headed next. But the airlines are really pioneers of a lot of the worst pricing practices.
01:13:39.720 So it's interesting to see him go from Air New Zealand to Walmart, which has also built this media business that's, you know, they're not just selling groceries and not just selling clothes and not just selling, you know, detergent.
01:13:52.280 They're now also selling your data with their media business.
01:13:55.280 And then now to Kroger.
01:13:56.820 I mean, it's the exact type of resume you would expect for this new frontier of corporate price gouging and corporate profiteering.
01:14:06.180 Oh, it's a lot, huh?
01:14:08.960 Yeah.
01:14:09.220 I mean, it is a lot, but it all kind of goes in hand with where it feels like we're at in our
01:14:13.660 country right now, you know, where it's like, it feels like, um, they're squeezing you for
01:14:19.320 everything, you know, and the people that care, just something happened to them, you know? Um,
01:14:26.380 but the people, regular people still care, I think are still hopeful. You know, I don't think people
01:14:32.220 are losing that, but, uh, that elected officials are that some of these people are going to help
01:14:39.000 us or that even that big tech, where's like some of these tech Robin hoods that come along and 0.99
01:14:44.600 are like, Hey, I'm going to do something different than just be like a greedy piece of shit or 0.99
01:14:49.240 whatever. You know, like where, where does that come? Like, like, I don't know. You would still 1.00
01:14:53.720 hope that there's like, I don't know, somebody out there who, or something out there that's
01:14:58.780 possible. Um, well, and Hey, I'm sitting here talking to one. So what am I even, I'm looking
01:15:04.480 never, I'm like, where are they? And here you are. So thank you, Lindsay, for being here with me
01:15:09.020 today. As a consumer, we hear stuff like use a VPN, right? Yeah. Using Cognito mode. Yeah. Are
01:15:15.500 some of those things effective? Take me through some of those things. Yeah. So look, I, you know,
01:15:19.320 personally, like I come from a policymaking background. I really don't think that every
01:15:24.920 consumer should be out there ducking and dodging and bobbing and weaving and trying not to get
01:15:28.820 screwed. Okay. I really think it's time for federal lawmakers to step in and make sure our economy is 0.95
01:15:33.940 honest again. Like that's really what I'm looking for. And that's what I think we deserve. But I
01:15:39.240 also used to work in Congress. So I know that's not coming soon. So in the meantime, I think there
01:15:45.280 are a few things. The first thing I'll say is turn the experiment back around on these companies.
01:15:50.040 Like they figure out how much they can charge you by running experiments on you. Run experiments
01:15:55.720 on them. Like if you are leaving a football game with your buddies and you're going to go to a bar
01:15:59.620 after, like everyone fire up the Uber app at the same time, there's a decent chance that one of
01:16:04.360 you will get a much lower price than the others and take the Uber from whoever gets the lowest
01:16:09.480 price. Similarly, like when I'm shopping for airline tickets, like my husband and I sit on the
01:16:14.500 couch and we both fire up the app to see if one of us gets a better deal. And almost always
01:16:19.280 our prices vary, right? Like we get different prices. We do. So I really think turning the
01:16:25.100 experiment back on these guys is just like one small form of protest. The other thing is you
01:16:30.320 have to update how you comparison shop. It used to be that you would like go look at detergent
01:16:34.300 and Target, and then you would say, hmm, that seems high. Maybe I'll go see what the detergent
01:16:38.420 price is at Walmart. Now you have to comparison shop within Walmart. You need to look at what
01:16:44.300 the price is in the app. What is the price online? What is the price in the brick and mortar store?
01:16:50.120 We have seen examples where prices at Target vary at two targets that are two miles apart, right? So I think a more expansive form of comparison shopping is another good tip, although admittedly, like, it's going to eat up your time, right?
01:17:05.760 And that's a valuable resource, too.
01:17:07.980 And people don't have a lot of extra time to sit around, like, figuring out how not to get ripped off.
01:17:12.440 But there is one example in the book of, you know, someone looking at target prices in the app.
01:17:18.680 And then once they got to the store, the prices in the app increased because they use location tracking.
01:17:24.460 And they know you're sitting in the target parking lot.
01:17:26.760 You're probably going to go in and make the purchase.
01:17:29.460 So, yeah, I mean, the geolocation tracking is really useful for companies.
01:17:33.980 There's another example in the book of Staples, the office supply store.
01:17:37.160 I don't really know if anyone shops in those anymore.
01:17:39.080 Dude, I used to go in there sometimes and get all types of stuff.
01:17:43.860 Yeah, that makes sense.
01:17:45.760 So basically, Staples was charging customers more when they knew that they lived in a region of the country where there was no Office Depot or no Office Max.
01:17:54.560 Wow.
01:17:55.100 Because they know that you don't have a competitor to go to.
01:17:58.100 They got you cornered.
01:17:58.880 Totally. 1.00
01:17:59.560 Damn. 0.99
01:17:59.860 And, of course, that happened to overlap with poorer areas where there was less retail offerings, right? 0.99
01:18:05.940 So you were really getting penalized for living in kind of a retail desert, basically.
01:18:10.560 But, yeah, look, you can use a VPN.
01:18:12.640 You can try incognito mode.
01:18:14.500 When we did the StubHub experiment, the fee variation declined precipitously with incognito mode.
01:18:20.840 What does precipitously mean?
01:18:22.240 It's raining, right?
01:18:23.240 Quickly.
01:18:24.080 Oh, quickly.
01:18:24.880 Quickly.
01:18:25.700 Like kind of aggressively.
01:18:27.620 Okay.
01:18:27.800 So like there were $60 differences in the fees for the ticket prices on StubHub.
01:18:32.700 And then once the shoppers went into incognito mode, the price differences were like $4.
01:18:37.840 So they weren't completely gone, but it was interesting and suggests, you know, it's impossible to know definitively exactly how these algorithms work because companies aren't letting us see that.
01:18:48.160 But it does suggest that once you kind of hid your data, you were getting screwed a little less.
01:18:53.820 Got it.
01:18:54.160 Yeah.
01:18:54.520 So they could take the edge off.
01:18:55.880 Yeah, exactly. That's exactly right. Right, right. That's, that's a perfect way to put it.
01:19:00.940 So that could take the edge off and that's incognito mode or using a VPN. What else can we do?
01:19:07.540 Look, the other thing I really think is important is saying something. Like I think posting online
01:19:13.000 about your experience, like the JetBlue flyer did. I mean, he basically snuffed out that JetBlue was
01:19:19.720 using all sorts of data in their, you know, in their pricing algorithm, right?
01:19:25.120 And I think, you know, how did we get rid of Coke of the thermometers and vending machines?
01:19:30.820 Like, people said, this is too much.
01:19:33.660 Like, this is a bridge too far.
01:19:35.400 When Wendy's rolled out their electronic shelf labels and, you know,
01:19:39.620 said that they were going to experiment with dynamic pricing,
01:19:41.940 like public backlash was incredibly swift.
01:19:45.260 Oh, is that what happened?
01:19:46.020 Remember, I almost, I stepped on you about that.
01:19:48.060 That's what Wendy's did?
01:19:48.940 Yeah. So Wendy's rolled out, announced that they were rolling out electronic menu boards throughout the country. And most drive-thrus now are like moving to electronic menu boards. But it means that, you know, Wendy's HQ, McDonald's HQ can have a pricing algorithm that changes pricing retail location by retail location.
01:20:06.800 now often they're owned by franchisees and so the franchisees have to like take the
01:20:11.060 recommendations and and set the prices but you know mcdonald's is pretty good about being like
01:20:16.440 oh like if you want your franchise location renewed you should probably like take our
01:20:20.500 pricing recommendations right right but it could happen in the future that you could drive around
01:20:24.380 the drive-thru and it could see your license plate or could see your eyes yeah through like
01:20:28.640 a retinal scanner and then you pull around and the board's changing as you come around
01:20:32.860 And then it's $16 or whatever for a McRiblet or whatever.
01:20:38.780 And you're like, all right.
01:20:41.120 Yeah.
01:20:41.380 And by the way, if you order an app and then go pick it up in the drive-thru, then they can use all sorts of information about you based on the fact that you've logged into the app.
01:20:50.840 There was this Wired reporter who lives in California.
01:20:54.720 And in California, you can request your corporate data.
01:20:57.700 You can like write to the company and by law, they have to give you all the data they've collected about you.
01:21:01.920 Really?
01:21:02.500 Yes.
01:21:02.860 and his, so he asked for his McDonald's data
01:21:07.040 and it was 515 pages.
01:21:09.680 You were lying.
01:21:10.460 I mean, he was like a serious super user of McDonald's.
01:21:13.520 Wired reporter Reese Rogers used California's privacy law
01:21:16.960 to request his data from McDonald's
01:21:18.560 and received a 515 page personal dossier.
01:21:22.940 Oh my God, that's like getting a Valentine almost.
01:21:26.000 It would honestly feel kind of nice, like somebody cares.
01:21:29.000 The 515-page report details his loyalty app interactions, purchase history across 61 visits in San Francisco and Santa Barbara, top products like Large Diet Cokes, okay, Reese, and ScanMonopoly sweepstakes codes.
01:21:46.220 Gang, brother, I've been there.
01:21:48.100 McDonald's uses his data to forecast his future habits,
01:21:50.820 estimating 2.16 visits and $29.15 in total spend over a six-week window
01:21:57.400 and scoring his likelihood of customer attrition at 0%.
01:22:01.500 Attrition means what?
01:22:02.740 That he's going to not come back?
01:22:03.900 Exactly.
01:22:04.480 So that's crazy.
01:22:05.520 They're basically like, based on these 515 pages, we know we've got you for life.
01:22:10.720 Wow, bro.
01:22:11.840 We estimate you'll never leave.
01:22:13.260 In a separate project, Wired filed over 100 data access requests to different companies under the CCPA, finding that the process is often burdensome and several companies mistakenly sent data deletion notices instead of actual records.
01:22:30.000 Wow, dude.
01:22:31.260 And a lot of it, I guess, does it sometimes seem like it's about more than greed?
01:22:36.760 It's just also about control, it feels like, huh?
01:22:39.400 I do think control is the right word.
01:22:41.340 Like, there's an imbalance here.
01:22:43.260 when companies are able to collect this much personal data about us.
01:22:47.300 Like we talk about civil liberties when the government is like spying on us
01:22:50.600 or invading our privacy.
01:22:51.980 But I do think we need to think more about the fact that corporate America
01:22:56.560 is now built a kind of surveillance state that rivals what any government could build.
01:23:02.340 Oh, yeah.
01:23:02.840 I mean, we talk about it a lot.
01:23:04.040 It's like a privatized communism.
01:23:05.400 We talk about that a lot in here.
01:23:07.860 And it's pretty scary or it's like a consumer communism or something.
01:23:11.680 I don't even know what it is.
01:23:12.560 I think we're still in a space where we don't even know what it feels like.
01:23:16.220 And we don't even know what the end game is.
01:23:17.860 I mean, obviously it's profit, but like-
01:23:20.460 But it's going to be more than that.
01:23:21.360 Exactly.
01:23:21.880 Like, we still don't know exactly, like, why is Walmart developing all these technologies, right?
01:23:25.500 Like, what is the end game here?
01:23:27.280 Like, why do they need an entire lab filled with scientists who get better at scanning our retinas and measuring our heart rates and, you know, measuring our car suspension all to do what?
01:23:40.680 Yeah.
01:23:41.040 Like, just rip us off?
01:23:42.460 Or is it more than that?
01:23:43.300 It's probably more than that.
01:23:44.460 Right.
01:23:44.700 And what is more than that?
01:23:45.720 Like, what does that mean?
01:23:46.520 Because I think about that too.
01:23:47.560 Like, what is the end game?
01:23:49.740 Is it some mass control?
01:23:51.760 It must be something like that.
01:23:54.180 Or is it just a runaway train of like advancement?
01:23:59.800 You know, there are a lot of people I've noticed in tech, even a lot of them that I've interviewed
01:24:03.360 that have, I think, a lot of like autism in a way, like kind of like a, they don't have
01:24:07.180 a human connection in a lot of ways.
01:24:09.400 they kind of have like an emotional sort of like, I don't know, their understanding of humanity is
01:24:14.360 different. And I think a lot of them do have kind of like an autism. And when you have that,
01:24:18.620 the last thing you're thinking about is humans. Well, the types of scores that they're developing
01:24:23.200 are sort of ways of gauging very human things, but through science, right? Instead of just asking
01:24:30.580 you how hungry you are, they're creating the 16 factor agitation index based on how quickly and
01:24:36.840 jerkily you scroll right instead of just like assessing using human interaction like how mad
01:24:42.980 this person is right at the store they're creating the appeasement engine to figure out if they have
01:24:48.800 to like give you a discount or if they can tell you to like pound sand right um you know instead
01:24:54.460 of just like making a tasty burger and assuming you'll come back for more they're creating the
01:25:00.380 attrition score to figure out if they've got you for life or you know if they're gonna have to give
01:25:05.100 you a discount to get you back in the store, right? Yeah. It's also gross at a certain point.
01:25:10.040 Like, what do you, like, imagine just bothering somebody that much just to what, for their money?
01:25:16.480 Yeah. And again, like, you know, imagine what companies could be developing if what they were
01:25:22.380 spending their time in these labs doing is building better products, building more efficient systems,
01:25:27.720 building technology to help us, right? Or to, like, make our lives more pleasurable, right?
01:25:32.800 Adding joy to people's lives.
01:25:34.400 Imagine if they chose to do that, especially huge companies like, yeah, imagine if that's what they chose to do.
01:25:43.240 I don't know, but I do think this is the birth of where new opportunities come along, you know, where new companies come along.
01:25:49.600 There's this company that I saw the other day.
01:25:52.780 It's called Papa Bear Naturals.
01:25:54.920 they make like, if they make chips, it's like, um, it says on the ingredients, it's like one
01:26:00.800 potato, salt tallow. Right. And like when you open the bag of chips, you can see the middle chip,
01:26:07.580 like the biggest, the middle part of the potato, that chip is in there. And it's like, I don't
01:26:12.340 know. I think maybe it is a good time for, um, for something new, right. For us, like to create
01:26:19.020 more, like, how do I find something that my family can sell to your family and you can sell
01:26:23.380 something back to us and then we can support each other because it doesn't feel like some of these
01:26:28.620 other places are going to want to do that for us anymore. Yeah. Like it's, it is time I think to
01:26:33.420 return to the transparency and the simplicity of the paper price tag and the Amish market and the
01:26:41.200 simplicity of that. Yeah. I know. I'm like, dude, is the, is the only way out of this? I got to
01:26:45.980 convert to amishism, you know? Yeah. I mean, the Quakers really, um, you know, they really brought
01:26:53.740 us the price tag and the fair price. And so I guess, you know, I guess we could go to Pennsylvania, 1.00
01:26:57.680 Dutch County and, and take a look around. Are there moral companies that you see out there
01:27:02.800 like that, that you know of, do you see like a religious based companies that have an actual
01:27:07.860 ethical moral compass that seems viable? Like, are there things that you see like that? Like,
01:27:14.320 Because you would also think that if, say, if there's certain religions that believe in, like, a moral process, like, why don't they ban, like, certain churches or whatever, ban together their funds and create things that are going to be fair to their consumers?
01:27:29.880 You would think that some of these larger religious entities could maybe do something like that.
01:27:35.800 Does that make any sense when I even say that, or am I just crazy?
01:27:38.240 Yeah, look, I mean, we don't really have a consumer movement in this country.
01:27:41.420 And so I do think, you know, consumer movements could be located elsewhere. They could be located in churches. They could be located in labor movements or labor unions, right? There are ways in which we can get together and use our collective power, our collective purchasing power, our collective, you know, solidarity to try to get a better deal or to try to push back against some of these practices.
01:28:03.060 And look, like, you know, because we do this work and we're pretty loud about it, we often get emails from companies letting us know that they're building systems to try to help consumers deal with this.
01:28:16.120 And one of the companies that we have had conversations with, and I haven't used this product myself, but they're called Cart Happy, and they basically built an in-app extension.
01:28:26.240 So if you do your grocery shopping online and you're like buying 30 items at Walmart, like when you're about to check out, it'll say, hey, actually 10 of these items are cheaper right now at Target.
01:28:37.620 And you can split your basket in two and buy like 20 of the items at Walmart and 10 of the items at Target or whatever.
01:28:44.660 And so I think there are some companies who are trying to cut a different path and, you know, make things a little easier for consumers.
01:28:51.880 But I haven't used it myself, so I don't.
01:28:54.420 Just heard about it.
01:28:55.100 Yeah.
01:28:55.700 Yeah, I talked to the guy who built it.
01:28:57.940 Got it.
01:28:59.160 What about some of these AIs, like OpenAI, or you look at Grok, or you look at some of these larger AI entities?
01:29:07.460 Are any of them trying to help the consumers?
01:29:11.220 Yeah, so it's interesting.
01:29:12.440 We're at this kind of interesting inflection point where I do think, you know, there is the possibility that AI assistants, like, you know, Meta has Muse now, the like little white fluff ball.
01:29:22.920 And look, AI could be a great personal assistant, right?
01:29:27.040 Like one of the things that Meta's muse is advertising
01:29:30.300 is that they'll go and cancel all your subscriptions,
01:29:33.160 like all of the crap that you have recurring charges for
01:29:36.260 that you like forget to cancel, right? 0.80
01:29:37.980 Like various streaming subscriptions, for example.
01:29:41.760 And, you know, that could save you a lot of money
01:29:43.580 to have, you know, your bot go and handle your subscriptions.
01:29:48.180 But also, you're handing over a lot of information to these personal assistants, including often your wallet, right?
01:29:57.060 Your credit card information.
01:29:58.460 They're looking at your emails.
01:30:00.640 And we've looked at some early research on these AI shopping assistants.
01:30:05.600 And the biggest study of AI shopping assistants, they ran 325,000 experiments.
01:30:11.840 And what they found is that even when you tell the shopping assistant to go get you the cheapest option, sometimes it would go rogue, look at your emails, decide that you could pay more, and then return, like, the second or third or fourth cheapest option instead of the cheapest option, including for things like health insurance plans that are, like, kind of important.
01:30:32.800 Really?
01:30:33.300 Yeah.
01:30:33.840 For health insurance plans?
01:30:35.060 Yeah.
01:30:35.360 This is an early experiment.
01:30:36.600 study finds ai chatbots recommended pricier options to wealthier shoppers
01:30:41.340 so and you know what in some of this i don't know if it would be like there's a robin hood
01:30:47.060 idea of that when you read that headline yeah totally but unless it turns that savings over to
01:30:52.160 people who are less have less wealth then it's not a robin hood thing it's just
01:30:58.920 um it's just greed the study ran 325 000 experiments across 13 ai models from four
01:31:06.860 families including models from open ai anthropic google and quinn testing how chatbot recommendations
01:31:13.380 shifted when the agents were given access to fictional user profiles containing financial
01:31:18.000 employment health and demographic data the effect was substantial claude opus 4.8 showed the largest
01:31:24.520 gap recommending flights averaging $198 more for wealthy users than for low-income users and health
01:31:31.180 insurance plans averaging $284 more per month. Gemini Flash showed gaps of $177 for flights and
01:31:38.020 $217 per month for insurance. Even GPT-5 recommended flights averaging $107 more to wealthier profiles.
01:31:47.520 Wow. Yeah. Yeah. So it's not like the early results, like it's not looking good. Yeah.
01:31:52.620 The researchers found that the behavior persisted
01:31:55.340 even when users gave explicit instructions
01:31:57.460 to find the cheapest option.
01:31:59.400 When a wealthy profile asked Gemini 2.5 flash
01:32:02.380 for the cheapest flight,
01:32:03.640 the model still recommended a ticket averaging $208 more.
01:32:06.740 That doesn't strike me.
01:32:07.940 It's just more greed.
01:32:09.480 It's just like, but how would those AIs know to do that?
01:32:13.660 They would have to have,
01:32:15.460 because a lot of those AIs,
01:32:16.580 their business model is advertising based.
01:32:18.660 Is that right?
01:32:19.480 It's a little hard to know exactly
01:32:20.780 how these guys are going to make money.
01:32:22.320 Okay.
01:32:22.620 Um, and you know, most of them aren't making money yet. Right. Um, but I think in general,
01:32:28.420 there are a few possibilities. One is of course our data. Like I think our data is going to be
01:32:32.240 very valuable and, you know, Meta's Muse is going to get access to your email access. You know,
01:32:37.680 if it's your personal assistant, it's going to look at your calendar, look at your email,
01:32:41.480 look at your wallet, like all of this stuff. Um, they have, Meta has also said that Muse may take,
01:32:46.980 um, like a fixed percentage of transactions. So a little bit like Visa, right, where they take a
01:32:52.540 swipe fee like it will just take a cut of every transaction that's one possibility i mean look
01:32:57.580 another possibility is absolutely steering and advertising and one of the other early studies of
01:33:03.340 ai assistants showed that more often than not um the assistant would recommend the sponsored product
01:33:10.800 right and so you know the whole point of ai was to like build this really like you know the super
01:33:16.040 intelligence like this knowledge and if all it does is return information that comes from the
01:33:21.580 highest bidder like it's no smarter than google right it's right and it's no different it's the
01:33:26.060 same thing it's like oh great another cool ai that just wants to be make me poorer or wants to
01:33:32.840 just use my data or just wants to make me feel taken advantage of or doesn't listen to what i
01:33:38.920 what people really want this says meta zuckerberg says muse ai agent will take a small fee from
01:33:44.160 transactions oh they need a small fee we believe that muse will make you money zuckerberg told the
01:33:50.960 room full of developers and we are standing behind this by making muse free for a huge number of
01:33:55.320 tokens with the expectation that over time we will profit by taking a small fee from transactions
01:34:01.180 meta chief a officer alexander wang he was on this show no way before he was part of um meta
01:34:09.220 explained that the company has added support for paypal and announced integration to retailers
01:34:13.520 including walmart best buy the gap sephora wayfair american eagle and others so let's say like you
01:34:19.620 send Muse out to cancel all your
01:34:21.620 subscriptions and it saves you like
01:34:23.580 I don't know
01:34:25.300 $150 a year. Right.
01:34:27.220 Like 12 bucks a month or something.
01:34:29.740 I guess the idea would be that it
01:34:31.540 would come back maybe and say look we saved
01:34:33.640 you $150 like we'll take 10 bucks
01:34:35.780 or something like that. Got it. Right.
01:34:37.840 When Zuckerberg states that Meta is making
01:34:39.780 Muse free for a huge number of tokens he means
01:34:41.680 that consumers can chat with, ask questions
01:34:43.800 of and use the AI assistant
01:34:45.640 for free up to a generous data limit
01:34:47.820 instead of billing you for the text data you use up meta plans to offset those operational costs
01:34:52.920 by charging merchants a transaction fee when muse helps you buy something so but how do we know then
01:35:00.280 that the merchants won't just raise the price of whatever it is yeah i mean that's a very that's a
01:35:04.520 very strong possibility oh we need an ai to come along that um that would like help people right
01:35:12.200 But it wouldn't be based on advertising, right?
01:35:16.620 You'd have to have some sort of a new model that,
01:35:19.600 and maybe if they save, yeah, I don't know how they do it.
01:35:24.220 I don't know how you would create one
01:35:25.640 that could actually be beneficial for people.
01:35:28.280 I mean, part of the problem is it doesn't seem like
01:35:30.320 these companies actually have full control
01:35:32.040 over how the models work, right?
01:35:34.200 I mean, the AI agents go rogue.
01:35:36.360 They do what they want, right?
01:35:38.460 In this instance, like it's supposed to be
01:35:40.180 your personal assistant.
01:35:41.000 And you sent it to go find you the cheapest option. And then it took matters into its own hand, like rooted around your email inbox, saw that you made a expensive purchase yesterday and thought, oh, this sucker can afford a more expensive airplane ticket and then returned a more expensive airplane ticket, even though you asked for the cheapest option. 0.54
01:36:01.260 Yeah, it's a snitch. 0.96
01:36:02.240 And like, right. And like in the rest of the economy, your agent is supposed to work for you, right? Like your real estate agent is supposed to work for you, not the seller if you're the buyer, right? Like your financial advisor is supposed to work for you, not whoever gives him kickbacks to like sell their products, right? And they're calling themselves agents and they're saying they're your assistant, but actually they don't work for you. They work for Muse or they work for the company that pays for the advertising.
01:36:29.020 Satan. Yeah. God, Lindsay, I don't even know anymore. I just want to fricking take my legs
01:36:36.240 off and send them somewhere. I can't handle all this. Sell them to the highest bidder. 0.99
01:36:41.660 Yeah. Oh, one of these perverted fricking tech lords would probably buy them, 1.00
01:36:49.200 you know, for a decent amount. I'm like, you don't care that I can't walk. They're like, 0.98
01:36:54.400 it's everything dude it's all gonna years from now i i've always thought there would be a smile
01:36:59.480 we'll be in a museum you'll have to go see it and people will be like that people used to feel joy
01:37:05.400 and their mouth would curl at the ends and the kids would be like what are you talking about dad 0.95
01:37:11.240 i don't even know what's going on anymore i just want to fucking eat my own eyeballs 0.96
01:37:17.300 and get a nap in anyway sorry i'm drifting off um dude i saw one thing lindsey this was crazy 0.87
01:37:25.480 thing that i saw tell me if this is true and then i want to know a little bit more how like
01:37:30.100 some industries that were being taken advantage of that we don't even notice in maybe yeah sure
01:37:33.720 um that can be helpful to listeners they there was a story that they had sat tests they like
01:37:40.480 the princeton review was charging more for sat tutoring or for testing i'm not sure which one
01:37:46.280 it was um in asian heavy zip codes is that true that's exactly right oh so princeton review like
01:37:53.040 if you logged on from an ip address that was in an area of the country that had more asian americans
01:37:59.780 they were charging you more for the same test prep package than other individuals in a less
01:38:05.820 like predominantly asian neighborhood and this has been going on for a while this is 2015 asian
01:38:10.560 families living in the u.s are are almost twice as likely to be charged higher prices for college
01:38:15.580 test prep the Princeton Review according to a new study from ProPublica. The Princeton Review
01:38:23.320 determines pricing based on a potential customer's zip code. As ProPublica notes, there is nearly
01:38:28.880 a $2,000 difference in the highest and lowest prices for the Princeton Review
01:38:33.440 premier SAT prep course. When it comes to getting the highest prices, living in a zip code with a
01:38:38.600 high median income or a large Asian population seem to make the greatest difference. According 1.00
01:38:43.240 in the ProPublica Reporters by Julian Angwin.
01:38:48.460 Wow.
01:38:49.700 Customers in areas with a high density of ASEAN residents
01:38:54.100 were 1.8 times as likely to be offered higher prices
01:38:56.740 regardless of income.
01:38:58.300 Dang, bro. 1.00
01:39:00.500 Asians getting jacked over that. 1.00
01:39:03.300 Bro, we need Asian people to get upset about this. 1.00
01:39:06.260 High income zip codes were twice as likely 1.00
01:39:08.020 to be charged for a more expensive price.
01:39:09.480 because i you know sometimes like part of me is like yeah charge rich people more i don't care
01:39:15.160 but it's not fair if you're charging somebody that's asian is because you think they're good 0.93
01:39:19.840 at something and some asians these days bro some of these second third degree asians or whatever 0.99
01:39:24.800 they're called they're not some of them are not even that good at stuff like they used to be like 1.00
01:39:30.980 the premier asians used to have shit popping dude there's asian dudes now that can't even read that 1.00
01:39:36.220 good. I mean, look, income and willingness to pay are not the same thing. Yeah. Right. Like that's 1.00
01:39:41.480 the key here. Like you think it's just going to be the rich who get soaked, but actually it's the
01:39:45.780 people who want it the most or the people who are the most desperate or the people who need
01:39:50.720 something most urgently. Like the problem with surveillance pricing is, you know, when companies
01:39:56.420 are collecting this data on you, they get better and better at figuring out how desperate you are.
01:40:01.120 I mean, this is why I'm so worried about surveillance pricing and AI assistance, because let's say, you know, there was an example, the Facebook whistleblower had this crazy example where it turned out that Facebook, when you deleted selfies, so let's say you're like a teenage girl, you're insecure about how you look, you know, you delete a lot of selfies because you're like, oh, this is a bad picture of me.
01:40:21.880 They were pushing you beauty products.
01:40:24.460 Wow.
01:40:24.600 Right. And so there's all sorts of ways in which companies are really exploiting insecurity, exploiting desperation. I mean, this is like an Asian immigrant family who just wants their kid to go to college. And so they're willing to pay, you know, an extra $1,500 for six weeks of test prep. Right. And companies figured that out. They're like, oh, these Asian moms are, you know, really hoping their kids get into college. So we're going to bilk them for all they're worth.
01:40:50.220 and you know these teenage girls are really insecure so we're gonna see them as like 1.00
01:40:56.360 shooting fish in a barrel and push them expensive beauty products oh and you're hoping like some
01:41:04.500 hero comes along to save you you know and it's not even that guy from that song who sang that
01:41:10.220 song when a hero comes along was a woman singing it i don't know it's not even a guy um it's mariah
01:41:19.480 a carry, isn't it? No, I was going to go with Celine Dion. It might've been, it doesn't matter,
01:41:23.980 dude. Sorry. I'm going off track, but yeah, you're like hoping for a hero and you don't even like,
01:41:28.440 oh, um, I want to talk about, um, I've heard you mentioned before a shopper's bill of rights.
01:41:34.560 Yeah. What does that look like? Yeah. I think it's time for shoppers in this country,
01:41:39.400 consumers, if you want to use the kind of technical term to have some guaranteed rights,
01:41:44.480 so that we don't get ripped off in every setting in commerce.
01:41:48.840 And, you know, at different points in our country,
01:41:51.160 we have changed the laws to address new technologies.
01:41:56.040 So I'll give you an example.
01:41:57.640 Like for a while, like electronic products were unsafe, right?
01:42:02.020 Like you could buy a toaster and it was short and like burn your house down.
01:42:05.120 And that was a real problem, right?
01:42:06.960 Because we needed to like fill our kitchens with like new electronics
01:42:09.420 and people needed to know that their house wouldn't burn down.
01:42:11.940 So the government built something they called the Consumer Product Safety Commission. And what the Consumer Product Safety Commission does is when a product is dangerous or has a defect, they issue a recall. And they just let you know like, hey, you got to bring your car back to the shop because the brakes don't work or you've got to return this crib because like kids are suffocating in it, right? Just like basic safety rights.
01:42:36.940 And now I think it is time for more updates to safety in this high tech world of e-commerce and AI enabled commerce. So I think things like a ban on surveillance pricing, like you cannot collect data about me and then turn it against me and weaponize it to overcharge me. Like we're just not going to let that happen.
01:42:58.660 I think we are owed the right to a refund.
01:43:03.160 When a product doesn't work, we should be able to get a refund without having to battle a chatbot and customer service for three hours.
01:43:10.940 And then maybe we'll get a gift card or maybe, you know, we'll get store credit, right?
01:43:15.400 Like they can auto-populate your address.
01:43:18.060 They can auto-populate your credit card information.
01:43:20.240 They can get you a quick refund.
01:43:22.040 It's simple.
01:43:22.620 It should be easy.
01:43:23.880 Absolutely.
01:43:24.960 And they're stealing our time and they're stealing our money.
01:43:27.540 And our time is valuable, too.
01:43:29.080 Like, our organization estimates that the annoyance economy, which is things like fighting chatbots for refunds, is costing Americans $165 billion every single year in lost time and lost money.
01:43:42.760 So the Shopper's Bill of Rights is 12 different rights that I think are no-brainers.
01:43:48.020 Like, this isn't, like, super high-tech stuff.
01:43:50.140 It's just the right to a refund, the right to an all-in price.
01:43:53.200 Like, you should know how much something costs without, like, the hidden fees that get tacked on at the end of the transaction, right?
01:43:59.540 Yeah, no more surprises.
01:44:01.880 Right, to a fair price, that's one it says here.
01:44:04.340 Yeah.
01:44:04.560 I'm looking at them here on your website, and this is Groundwork Collaborative.
01:44:07.380 Yep.
01:44:08.520 Yeah.
01:44:09.060 And this is where people can see they can obviously find a link to your book here.
01:44:12.400 Yeah.
01:44:12.680 Can they donate to this as a nonprofit organization?
01:44:15.580 What is it?
01:44:16.120 Yeah, we're a nonprofit.
01:44:17.140 We don't take individual money.
01:44:19.320 Like, we take foundation money.
01:44:20.820 We're out there fighting for consumers.
01:44:22.240 like save your money, use your money to deal with all the price gouging out there.
01:44:27.380 But yeah, you can find the book at gougedbook.com or anywhere books are sold.
01:44:33.760 And you can find all of our research, including our research into Walmart's patents
01:44:38.080 at www.groundworkcollaborative.org.
01:44:43.820 And we'll be out there exposing corporate malfeasance and price gouging
01:44:48.320 all day long, all year long for years to come.
01:44:52.240 that's awesome i'm glad to know somebody's doing it you know it's like yeah it's like
01:44:58.800 i don't know it feels hard to even find time to do stuff i think for most people
01:45:02.760 you know it's just like they've got you so dizzy with so many things sometimes
01:45:08.420 it's like gosh i thought we were just supposed to be alive and kind of having a good time doing it
01:45:13.820 i don't know what but i guess some people don't think that that's what we're supposed to be doing
01:45:19.340 Yeah, I don't think like shopping has gotten really expensive in this country. And there are a lot of reasons, right? Like the war in Iran is pushing up gas prices and energy prices. Tariffs are increasing the price of imports like that makes Halloween candy more expensive this year. It makes Christmas gifts more expensive. You know, we have inflation going on in the economy.
01:45:38.280 But there's another culprit here, and I think most Americans realize it's happening but don't fully understand exactly how.
01:45:45.780 And that's that corporate America has reinvented the ripoff, and they're deploying increasingly sophisticated technologies to get better at reaching deeper into our wallets.
01:45:55.700 And we're really interested in exposing that, which is how we end up in skirmishes with Walmart.
01:46:02.740 But we're also interested in figuring out how to fight back.
01:46:05.260 And sometimes, honestly, just exposing it is enough, right?
01:46:07.600 It worked for Instacart. You know, when we exposed what Delta was doing with Fetcher, you know, they announced that they were going to back off some of the personalized pricing. So we definitely have gotten some results. But we also advocate in Washington and in state houses. New York right now is considering a ban on surveillance pricing. It passed the legislature, but the governor hasn't signed it yet.
01:46:29.680 And she has until the end of the year to sign it.
01:46:32.180 But I mean, I gotta be honest, like, just do it, right?
01:46:36.340 What's her name?
01:46:36.940 Let's get the clock going on this. 1.00
01:46:38.700 Kathy Hochul, let me get a gander at her. 0.97
01:46:40.800 And what are we asking her for today? 1.00
01:46:42.740 Sign the One Fair Price Act. 1.00
01:46:44.540 Ms. Hochul, why don't you just sign the One Fair Price Act?
01:46:46.920 Because what else are you gonna do?
01:46:49.660 And what's it gonna, what will that guarantee for people?
01:46:52.320 It would be a total ban on surveillance pricing.
01:46:55.840 Wow.
01:46:56.360 In the entire state of New York.
01:46:58.320 So it would be a huge move forward for consumers.
01:47:02.860 And I imagine a lot of states would follow suit.
01:47:05.340 And New York could be the leader on that.
01:47:06.860 Yeah, there have been some movement with like small ball policies that just ban surveillance pricing and things like grocery stores and Connecticut and New Jersey and Maryland and Seattle.
01:47:17.060 But there hasn't yet been like a really robust bill to ban surveillance pricing across the economy.
01:47:23.640 This would be the first one. 1.00
01:47:25.320 Wow, Ms. Hochul could be the first one to do it. 1.00
01:47:27.340 That's pretty cool.
01:47:27.920 And the status of the legislation is it was passed by the legislature in June, 2026 and
01:47:33.520 sent to governor Kathy Hochul for review.
01:47:36.800 It prohibits businesses from collecting, using, or retaining personal data, such as browsing
01:47:41.380 history, device data, location, zip code, or income to individually tailor or inflate
01:47:46.600 prices.
01:47:48.140 Please do it because maybe we'll do it in my state then.
01:47:51.200 What the heck?
01:47:51.800 We need somebody to be a leader. 1.00
01:47:53.280 We need somebody to have some balls, even if it's a woman that can't even have balls. 1.00
01:47:56.900 She's got to make the first move. 1.00
01:47:58.140 Like she could be, she can make history, right? 0.93
01:48:00.820 Yeah. 0.81
01:48:01.440 And it could create a really positive cascade.
01:48:04.400 Yeah.
01:48:04.900 Yeah.
01:48:05.840 And that's pretty much like, just do it.
01:48:08.680 That's what I'm thinking about.
01:48:10.000 Yeah.
01:48:10.320 I mean, look, the lobbying.
01:48:10.900 Do and see what happens.
01:48:11.940 What about that?
01:48:12.620 The lobbying in New York against this bill has been fierce.
01:48:15.420 Really?
01:48:15.900 Yeah. 0.97
01:48:17.440 Gross. 0.94
01:48:17.840 Yeah.
01:48:18.220 Like Instacart's up there, Uber's up there, like the National Retail Federation, which
01:48:22.840 as like the big trade association that all the companies hide behind so that like they'll do
01:48:26.600 their dirty work for them. Right. Like it's a bunch of money perverts. That's what it is.
01:48:30.300 It's money perversion. I mean, they're working hard to delay it, to water it down, to kill it
01:48:35.160 all together. But like, you know, signing it now will prevent further delay or further weakening.
01:48:40.780 Yeah. Well, at least we know, and people could use it, right? It would help them.
01:48:44.380 And just to know that you're safely being able to just be on the internet or be on your phone,
01:48:49.600 whatever. Yeah. I mean, maybe they're still taking your data, but at least they're not
01:48:53.040 turning it around to rip you off. Yeah. Yeah. Before you go, how can voters hold our representatives
01:48:59.400 responsible to help us? Is it possible anymore, do you think? Yeah, look, I think people should
01:49:04.760 ask their elected representatives, their members of Congress to stand up to corporate America's
01:49:10.700 reinvention of the ripoff. I think, you know, when Congress starts new investigations in January,
01:49:17.120 which you know they'll do, it would be great if instead of investigating, you know, stuff from
01:49:23.320 years ago, they started with investigations of corporate America, right? Instead of just doing
01:49:28.840 politically motivated investigations, you know, of Trump officials, they instead brought everyone
01:49:35.820 from corporate America in, you know, put the CEO of Walmart in the hot seat and said, tell me what's
01:49:40.440 going on with Sparky. And like, you can't leave here until I understand how Sparky works and why
01:49:44.840 those basket totals are 40% higher. Like, bring in the CEO of DoorDash. Like, tell me why you
01:49:50.360 invented the agitation index. Like, how is it used to overcharge consumers, right? Bring in the CEO
01:49:56.860 of Uber. Like, why did my colleague and I just get charged different amounts for the same exact
01:50:01.080 item to the same location? Is that because you have data on us that you're using to overcharge us?
01:50:06.080 Right. How else could you be doing it? Yeah. Like, I would like to see more
01:50:09.840 investigations into this. I would like to see subpoenas, right? Which means that,
01:50:13.400 you know, attorneys general or members of Congress can get information from the company,
01:50:18.080 like force them to turn over their books, their algorithm, like all of the stuff that they don't
01:50:23.160 want us to see. Because like my organization can't get any of that stuff. We don't have subpoena
01:50:27.240 power. So we're just looking in the public domain. We're looking at the patents they file. We're
01:50:30.800 looking at the stuff that they're stupid enough to say to their investors that they would never 1.00
01:50:34.840 want to say to their customers or consumers. But Congress has the authority to, you know, really, 0.99
01:50:40.380 you know demand this information and to take a look at it so I'd love to see that happen I mean
01:50:46.160 of course like that will require ticking off some companies and ticking off some lobbyists and doing
01:50:51.740 business a little differently than Washington has done business in the past but there are some
01:50:55.760 senators who have been you know taking names throughout history like there have been big
01:51:00.840 investigations into big tobacco big investigations into the health insurance companies like big
01:51:06.320 investigations, you know, um, you know, other consumer. Yeah. It's happened before. Absolutely.
01:51:13.620 Yeah, absolutely. Well, you're doing it, you know, and so thank you for just sharing to what's going
01:51:20.220 on. Congratulations on your book. I think it's exciting no matter what somebody's writing about
01:51:24.820 or whatever it is, you know, to be able to get something all the way to the finish line for
01:51:28.560 themselves is pretty awesome. So congratulations. Yeah. I mean, thanks for having me. And also just
01:51:33.640 thanks for bringing this important story to your audience
01:51:36.920 and being willing to name names
01:51:38.820 and talk about what companies are doing
01:51:40.460 and pull up the CEOs and take a close look at them
01:51:43.860 and speak it out loud.
01:51:45.260 There are not very many people in this country
01:51:46.640 who are willing to do that.
01:51:47.720 And there are not many people
01:51:49.560 using their media platform in that way.
01:51:51.180 And I think it's just incredibly important work.
01:51:53.780 Well, that's nice of you, Lindsay.
01:51:55.440 I appreciate that.
01:51:56.160 That's sweet of you to say.
01:51:57.100 But it feels like nobody's on the side
01:52:01.200 of like the, of a hue of humans almost anymore or something. It's so bizarre. Um, but you are. And
01:52:07.840 so thank you so much, Lindsay Owens. Um, I got to get a copy of your book. Can we put it up on our
01:52:11.600 shelf? Absolutely. That'd be excellent. I'd love to have one and, um, congratulations on everything
01:52:17.100 and, uh, keep shining a light. That's the best thing that we can do. And, um, people can locate
01:52:24.400 you through your website. Yep. Okay. Or on social media. Yeah. I I've got all the accounts I'm on
01:52:30.920 blue sky and twitter and instagram and tiktok and all the all the places nice yeah well i appreciate
01:52:36.360 you so much for joining us today uh thank you so much thanks for having me
01:52:39.400 i'm just floating on the breeze and i feel i'm falling like these leaves i must be cornerstone
01:52:48.360 oh but when i reach that ground i'll share this peace of mind i found i can feel it
01:52:57.120 In my bones
01:52:59.240 But it's gonna tell you