“Final Notice” Traffic Ticket Smishing Scam

Yesterday I got a scary-sounding text message, claiming that I have an outstanding traffic ticket in a certain state, and threatening me with the following if I did not pay within two days:

We will take the following actions:

1. Report to the DMV Breach Database

2. Suspend your vehicle registration starting June 2

3. Suspension of driving privileges for 30 days…

4. You may be sued and your credit score will suffer

Please pay immediately before execution to avoid license suspension and further legal disputes.

Oh, my!

A link (which I did NOT click on) was provided for “payment”.

I also got an almost (not quite) identical text a few days earlier. I was almost sure these were scams, but it was comforting to confirm that by going to the web and reading that, yes, these sorts of texts are the flavor of the month in remote rip-offs; as a rule, states do not send out threatening texts with payment links in them.

These texts are examples of “smishing”, which is phishing (to collect identity or bank/credit card information) via SMS text messaging. It must be a lucrative practice. According to spam blocker Robokiller, Americans received 19.2 billion spam robo texts in May 2025. That’s nearly 63 spam texts for every person in the U.S.

Beside these traffic ticket scams, I often get texts asking me to click to track delivery of some package, or to prevent the misuse of my credit card, etc. I have been spared text messages from the Nigerian prince who needs my help to claim his rightful inheritance; I did get an email from him some years back.

The FTC keeps a database called Sentinel on fraud complaints made to the FTC and to law enforcement agencies. People reported losing a total of $12 billion to fraud in 2024, an increase of $2 billion over the previous year. That is a LOT of money (and a commentary on how wealthy Americans are, if that much can get skimmed off with little net impact on society). The biggest single category for dollar loss was investment; the number of victims was smaller than for other categories, but the loss per victim ($9,200) was quite high. Other areas with high median losses per capita were Business and Job Opportunities ($2,250) and Mortgage Foreclosure Relief and Debt Management ($1,500).

Imposter scams like the texts I have gotten (sender pretending to be from state DMV, post office, bank, credit card company, etc.) were by far the largest category by number reported (845,806 in 2024). Of those imposter reports, 22% involved actual losses ($800 median loss), totaling a hefty $2,952 million. That is a juicy enough haul to keep those robo frauds coming.

How to not get scammed: Be suspicious of every email or text, especially ones that prey on emotions like fear or greed or curiosity and try to engage you to payments or for prying information out of you. If it purports to come from some known entity like Bank of America or your state DMV, contact said entity directly to check it out. If you don’t click on anything (or reply in any way to the text, like responding with Y or N), it can’t hurt you.

I’m not sure how much they can do, considering the bad guys tend to hijack legit phone numbers for their dirty work, but you can mark these texts as spam to help your phone carrier improve their spam detection algorithm. Also, reporting scam texts to the U.S. Federal Trade Commission and/or the FBI’s Internet Crime Complaint Center can help build their data set, and perhaps lead to law enforcement actions.

Later add: According to EZPass, here is how to report text scams:

You can report smishing messages to your cell carrier by following this FCC guidance.  This service is provided by most cell carriers.

  1. Hold down the spam TXT/SMS message with your finger
  2. Select the “Forward” option
  3. Enter 7726 as the recipient and press “Send”

Additionally, to report the message to the FBI, visit the FBI’s Internet Crime Complaint Center (ic3.gov) and select ‘File a Complaint’ to do so.  When completing the complaint, include the phone number where the smishing text originated, and the website link listed within the text.

Most people aren’t monsters

Which isn’t to say that there aren’t monsters who have found their way into and adjacent to power, but they are always limited by the beliefs held by the people on the ground doing the dirty work. The revelation in the quote below is that for all the cruelty and uncertainty being imposed by ICE, USBP, and the agents deputized from local law enforcement, it isn’t meeting the ambitions of those who want more than terror and lib-owning headlines. They know their days are limited and that to make the America, at the margin, as Whiter as is possible, and to do so they need the broadest possible net cast based on little more than racial/ethnic density:

The Washington Examiner (the conservative news outlet) reports that Stephen Miller screamed at ICE officials: "What do you mean you're going after criminals? Why aren't you at Home Depot? Why aren't you at 7-Eleven?" Kinda blows up the narrative that they care about public safety.

David Bier (@davidjbier.bsky.social) 2025-06-02T15:07:55.473Z

What’s limiting them is that for as much selection as there is on politics, information sources, and social networks into the individual agents on the ground, their aren’t enough who actually want to maximize thecruelty and racial homogeneity. Most, I strongly suspect, just want to do their jobs. Many, I hope, no doubt do buy the false narratives of immigrant criminality, but those who mirror the darkest ambitions are probably (hopefully) too few in number to produce the outcomes desired by the architects of the current national travesty that shames us all.

So keep doing to the little things that keep the false narrives from becoming folk wisdom. The conversations across weak social ties that run counter to the fear-mongering and deception. Every agent and field officer who, consciously or unconsciously, finds themselves doubting the wholesale slandering of immigrants and racial groups is more sand in the gears slowing a machine that is on borrowed political time. Every day lost is a day won. Every TACO a month. Every court case a quarter. Just keep slowing it down.

Fast Fashion quotes in Yale’s The Politic

A student reporter reached out to me for quotes about Fast Fashion. The article is now up:

Does the Devil Wear Fast Fashion?: Environmental Costs and Cultural Pushback

by Natalia Armas Perez

Ms. Armas Perez has written a current summary of the fast fashion landscape, including quotes from professors like me and industry executives.

Here’s one quote about me:

Joy Buchanan, an associate professor of Quantitative Analysis and Economics at Samford University, expanded on this idea: “Fast fashion is partly just a sign of a richer world. We can all have more of everything, including customized clothes.” In a world where clothing is cheaper than ever, the desire to reinvent oneself through fashion isn’t just encouraged—it’s expected. “Now that T-shirts are so cheap to make, it’s not surprising that people print them up for a single club event with little thought about the financial or environmental cost. Financially speaking, shirts are almost as disposable as plastic forks,” said Buchanan.

About the publication: The Politic is Yale’s undergraduate journal of politics and culture since 1947. The way people end up finding me to comment on this issue is my original piece for Cato from 2023.

We’re All Magical

The widespread availability and easy user interface of artificial intelligence (AI) has put great power at everyone’s fingertips. We can do magical things.

Before the internet existed we would use books to help us better interpret the world.  Communication among humans is hard. Expressing logic and even phenomena is complex. This is why social skills matter. Among other things, they help us to communicate. The most obvious example of a communication barrier is language. I remember having a pocket-sized English-Spanish dictionary that I used to help me memorize or query Spanish words. The book helped me communicate with others and to translate ideas from one language to another.

Math books do something similar but the translation is English-Math. We can get broader and say that all textbooks are translation devices. They define field-specific terms and ideas to help a person translate among topic domains, usually with a base-language that reaches a targeted generalizability. We can get extreme and say that all books are translators, communicating the content of one person’s head to another.

But sometimes the field-to-general language translation doesn’t work because readers don’t have an adequate grasp of either language. It isn’t necessarily that readers are generally illiterate. It may be that the level of generality and degree of focus of the translation isn’t right for the reader. Anyone who has ever tried to teach anything with math has encountered this.  Students say that the book doesn’t translate clearly, and the communication fails. The book gets the reader’s numeracy or understood definitions wrong. Therefore, there is diversity among readers about how ‘good’ a textbook is.

Search engines are so useful because you can enter some keywords and find your destination, even if you don’t know the proper nouns or domain-specific terms. People used to memorize URLs and that’s becoming less common. Wikipedia is so great because if you want to learn about an idea, they usually explain it in 5 different ways. They tell the story of who created something and who they interacted with. They describe the motivation, the math, the logic, the developments, and usually include examples. Wikipedia translates domain-specific ideas to multiple general languages of different cognitive aptitudes or interests. It scatters links along the way to help users level-up their domain-specific understanding so that they can contextualize and translate the part that they care about.

Historical translation technology was largely for the audience. More recently, translation technology has empowered the transmitters.

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Queens 2060: Where Upzoning Matters Most

Most US cities make it hard for housing supply to meet demand because of rules that prevent large apartment buildings. Usually cities do this with zoning rules that limit the number of homes per parcel, often to as low as 1. New York City relies more on rules about Floor Area Ratio (the ratio of the floor area to the area of the parcel). But how binding are these rules? If we relaxed or repealed them, how much new construction would we see, and where would we see it?

MIT PhD student Vincent Rollet has calculated this for New York City:

I build a dynamic general equilibrium model of the supply and demand of floorspace in a city , which I estimate using a novel parcel-level panel dataset of land use and zoning in New York City. I validate the model using quasi-experimental variation from recent zoning reforms and use it to simulate the effects of zoning changes on construction and prices.

He finds that eliminating these rules in NYC would lead to a construction boom, with a 79% increase in the amount of floor space available by 2060. This would allow many more people to live in New York, with a 52% increase in population; but many of the benefits would go to existing NYC residents, with more floor space per person and modestly lower rents leading to higher wellbeing:

Where exactly would we see the building boom? Not Manhattan, but Brooklyn and Queens. The intuition is that zoning is most binding in places where housing prices are currently high but where the buildings are currently small; this is where there is the biggest incentive to tear down existing buildings and build taller if you are allowed to.

Wild Pigs Are a Big Problem; You, Too, Can Thin the Herds from a Chopper with a Machine Gun

Wild pigs kill more people worldwide than sharks do (I didn’t know that a week ago). They do much damage to agriculture and the environment, and transmit diseases:

According to the U.S. Department of Agriculture, feral hogs cause approximately $2.5 billion in agricultural damages each year…Nearly 300 native plant and animal species in the U.S. are in rapid decline because of feral swine, and many of the species are already at risk, according to Animal and Plant Health Inspection Service. The swine also carry at least 40 parasites, 30 bacterial and viral illnesses, and can infect humans, livestock and other animals with diseases like brucellosis and tuberculosis

Besides eating and injuring crops and livestock, hogs damage the environment:

…They will also feed on tree seeds and seedlings, causing significant damage in forests, groves and plantations… Rooting — digging for foods below the surface of the ground — destabilizes the soil surface, uprooting or weakening native vegetation, damaging lawns and causing erosion. Their wallowing behavior destroys small ponds and stream banks, which may affect water quality. They also prey upon ground-nesting wildlife, including sea turtles. Wild hogs compete for food with other game animals such as deer, turkeys and squirrels, and they may consume the nests and young of many reptiles, ground-nesting birds and mammals.

Pigs are smart (ahead of dogs and horses), tough, and adaptable, and they breed very quickly. The protected, overfed, calm hogs you see on farms quickly  turn lean and mean if they have to fend for themselves in the wild. You pretty much only see female pigs or castrated males on the farm, since whole males (boars) are intrinsically aggressive and destructive. But vigorous 200-pound boars, with their 3 inch-long, razor-sharp tusks, are well-represented in feral swine.

This is a growing problem. The population of wild pigs in the southern third of the U.S. has increased significantly in the past few decades. There have historically been some wild pigs in spots like Florida and Texas, escapees from Spanish settlers long ago. But they seem to be spreading northward, largely because hunters transplant them:

From 1982 to 2016, the wild pig population in the United States increased from 2.4 million to an estimated 6.9 million, with 2.6 million estimated to be residing in Texas alone. The population in the United States continues to grow rapidly due to their high reproduction rate, generalist diet, and lack of natural predators. Wild pigs have expanded their range in the United States from 18 States in 1982 to 35 States in 2016. It was recently estimated that the rate of northward range expansion by wild pigs accelerated from approximately 4 miles to 7.8 miles per year from 1982 to 2012 (12). This rapid range expansion can be attributed to an estimated 18-21% annual population growth and an ability to thrive across various environments, however, one of the leading causes is the human-mediated transportation of wild pigs for hunting purposes.

As for pigs attacking and killing humans, a definitive study was recently made in 2023 by Mayer, et al., covering 2000-2019. This report includes informative tables and charts, such as:

and

Comparison of mean annual number of human fatalities from attacks by various wild animals for time periods ranging between 2000 and 2019. From Mayer, et al.

About half of these fatalities occurred in rural regions of India. Government policies there prohibit farmers from killing marauding pigs, so farmers try to chase them away from their fields with rakes and stones. Sometimes that provokes the pig to attack, slashing at thigh level and often lacerating the femoral artery. But a disturbing 39% of deadly attacks were unprovoked, including a horrific case with an elderly woman in Texas. So danger to humans is an issue, though for perspective, far more people are killed each year by snakes (100,000), rabid dogs (30,000), and crocodiles (1000). In the U.S., over 100 people are killed a year, and 30,000 injured, by collisions with deer (see here for a market-based solution for this problem).

What to do? Hunters in many states are free to blast away at feral pigs year-round, since they are considered a harmful, invasive (non-native) species. Paradoxically, however, allowing hunting of pigs can be counterproductive: amateur hunting does not eliminate enough pigs to stop their spread, and it incentivizes hunters to transport pigs to new regions to make for more targets. For instance, Arkansas allows hunting and even transport of pigs, and has seen swine populations skyrocket. The state of Missouri, next door, took the enlightened approach of banning hunting and transport, leaving population control to wildlife professionals. By removing the sport-hunting incentive, Missouri removed the incentive to transport them, which stymied their spread.

To control pig populations, the pros mainly set up baited large corrals, and monitor them remotely with webcams. After several weeks, the local pigs get comfortable coming there to feed. When the cameras show that every single pig in the herd is in the corral, the gate is sprung shut remotely. Then the pros drive out to, er, euthanize the pigs. The goal is to wipe out the entire herd, and leave no sadder-but-wiser survivors who will be harder to catch next time. Once a hog population has become established in an area, it typically takes ongoing eradication efforts to keep the numbers down.

If you want to do your own part to reduce the surplus swine population, the following notable opportunity came to my attention: for a largish fee the Helibacon company will train you in firing automatic weapons and take you up in a chopper where you can mow down a marauding herd in the low Texas scrubland. It sounds like a guy thing, but Helibacon reminds us that full auto is for ladies, too.  See also PorkChoppersAviation for similar service.

This is actually a fine example of a free market solution to a problem: wild hogs were such a problem for landowners that they were paying expensive professional helo hunters to take out herds, but in Texas, “All that changed in 2011, when the state legislature passed the so-called pork chopper law, which allowed hunters to pay to shoot feral hogs out of helicopters – and a new business model was born.” Hunters are happy to pay to hunt, helo companies are happy to take their money, and landowners are happy to have pigs reduced for free. Voila, voluntary exchange creates value…

EconTalk Extra on Daisy Christodoulou

I wrote an Extra for the How Better Feedback Can Revolutionize Education (with Daisy Christodoulou) episode.

Can Students Get Better Feedback? is the title of my Extra.

Read the whole thing at the link (ungated), but here are two quotes:

For now, the question is still what kind of feedback teachers can give that really benefits students. Daisy Christodoulou, the guest on this episode, offers a sobering critique of how educators tend to give feedback in education. One of her points is that much of the written feedback teachers give is vague and doesn’t actually help students improve. She shares an example from Dylan William: a middle school student was told he needed to “make their scientific inquiries more systematic.” When asked what he would do differently next time, the student replied, “I don’t know. If I’d known how to be more systematic, I would have been so the first time.” 

Christodoulou also turns to the question many of us are now grappling with: can AI help scale meaningful feedback?

Not a Ranked-Choice Failure

I have a good friend who is a professor in philosophy at another university. He was telling me about the struggle among his colleagues to determine the recipient of their annual department award. Every year the department chooses from among the graduating philosophy major students one to recognize for excellence. This year, they faced the challenge of incommensurables.

One student had a high GPA in the major, but had a severe case of senioritis and had phoned-in her senior courses. A second had a slightly worse GPA, but had face-planted the senior thesis. Still a 3rd student had merely a good GPA, but wrote an excellent publishable thesis.

The philosophy faculty could not agree. They each shared stories and arguments about the relative weights of the performance indicators and the relative value of the performances. I don’t know if you know any academics, but suffice it to say that they both A) tend not to be good administrators and B) tend not to be invited to productive meetings. I’m glad that I wasn’t in the room.

In fact, the faculty met twice! They were at an impasse. The department award winner is usually no contest. The person who excels in one area tends to also excel in the others. This year, the decision was so unclear and the faculty were so divided that they even seriously considered withholding the award entirely. None of the candidates was excellent on all counts.

Finally, trying to come to a decision – if not an agreement – they decided to adopt something that they’d heard good things about: Ranked Choice Voting. I was thrilled to hear this. What an opportunity to exhibit the nuance and beauty of this collective choice method! They agreed to adopt whatever the outcome would be. As my friend told me this, I was giddy with anticipation. What an exciting story! More good experiences with ranked choice voting may improve its popularity and make widespread its adoption.

If you don’t know, Ranked Choice Voting involves everyone ranking the candidates in order of preference. In this case 1 is most preferred and 3 is least preferred. Then, the candidate with the fewest first-ranked votes is eliminated from the running. The voters whose first preference was nixed now have their votes reallocated to their 2nd preferred candidates. Since only two candidates remain, one of them has won the majority and the election ends with an outcome that is usually considered better than the simple ‘just choose your favorite’ version that most of us use at our local polls.

How did the philosophers fare?

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Corporate Debt by Industry Sector

A reporter recently told me she thought there is a national trend toward hospitals issuing more bonds. I tried to verify this and found it surprising hard to do with publicly available data. But once I had to spend an hour digging through private Compustat data to find the answer, I figured I should share some results. Here’s the average debt in millions of companies by sector:

Source: My graph made from Compustat North American Fundamentals Annual data collapsed by Standard Industrial Classification code into the Fama-French 10 sectors

This shows that health care is actually the least-indebted sector, and telecommunications the most indebted, followed by utilities and “other” (a broad category that actually covers most firms in the Fama-French 10). But are health care firms really more conservative about debt, or are they just smaller? Let’s scale the debt by showing it as a share of revenue:

My graph made from Compustat North American Fundamentals Annual data collapsed by SIC code into the Fama-French 10 sectors (dltt/revt).

It appears that health care firms are the most indebted relative to revenue since 2023. But which parts of health care are driving this?

Hospitals in 2023 followed by specialty outpatient in 2024. However, seeing how much the numbers bounce around from year to year, I suspect they are driven by small numbers of outlier firms. This could be because Compustat North America data only covers publicly traded firms, but many sectors of health care are dominated by private corporations or non-profits.

I welcome suggestions for datasets on the bond-market side of things that are able to do industry splits including private companies, or suggestions for other breakdowns you’d like to see me do with Compustat.