Economic Impact of Agricultural Worker Deportations Leads to Administration Policy Reversals

Here is a chart of the evolution of U.S. farm workforce between 1991 and 2022:

Source: USDA

A bit over 40% of current U.S. farm workers are illegal immigrants. In some regions and sectors, the percentage is much higher. The work is often uncomfortable and dangerous, and far from the cool urban centers. This is work that very few U.S. born workers would consider doing, unless the pay was very high, so it would be difficult to replace the immigrant labor on farms in the near term. I don’t know how much the need for manpower would change if cheap illegal workers were not available, and therefore productivity was supplemented with automation.

It apparently didn’t occur to some members of the administration that deporting a lot of these workers (and frightening the rest into hiding) would have a crippling effect on American agriculture. Sure enough, there have recently been reports in some areas of workers not showing up and crops going unharvested.

It is difficult for me as a non-expert to determine how severe and widespread the problems actually are so far. Anti-Trump sources naturally emphasize the genuine problems that do exist and predict apocalyptic melt-down, whereas other sources are more measured. I suspect that the largest agribusinesses have kept better abreast of the law, while smaller operations have cut legal corners and may have that catch up to them. For instance, a small meat packer in Omaha reported operating at only 30% capacity after ICE raids, whereas the CEO of giant Tyson Foods claimed that “every one who works at Tyson Foods is authorized to do so,” and that the company “is in complete compliance” with all the immigration regulations.

With at least some of these wholly predictable problems from mass deportations now becoming reality, the administration is undergoing internal debates and policy adjustments in response. On June 12, President Trump very candidly acknowledged the issue, writing on Truth Social, “Our great Farmers and people in the hotel and leisure business have been stating that our very aggressive policy on immigration is taking very good, long-time workers away from them, with those jobs being almost impossible to replace…. We must protect our Farmers, but get the CRIMINALS OUT OF THE USA. Changes are coming!” 

The next day, ICE official Tatum King wrote regional leaders to halt investigations of the agricultural industry, along with hotels and restaurants. That directive was apparently walked back a few days later, under pressure from outraged conservative supporters and from Deputy White House Chief of Staff Stephen Miller. Miller, an immigration hard-liner, wants to double the ICE deportation quota, up to 3,000 per day.

This issue could go in various ways from here. Hard-liners on the left and on the right have a way of pushing their agendas to unpalatable extremes. It can be argued that the Democrats could easily have won in 2024 had their policies been more moderate. Similarly, if immigration hard-liners get their way now, I predict that the result will be their worst nightmare: a public revulsion against enforcing immigration laws in general. If farmers and restaurateurs start going bust, and food shortages and price spikes appear in the supermarket, public support for the administration and its project of deporting illegal immigrants will reverse in a big way. Some right-wing pundits would not be bothered by an electoral debacle, since their style is to stay constantly outraged, and (as the liberal news outlets currently demonstrate), it is easier to project non-stop outrage when your party is out of power.

An optimist, however, might see in this controversy an opening for some sort of long-term, rational solution to the farm worker issue. Agricultural Secretary Brooke Rollins has proposed expansion of the H-2A visa program, which allows for temporary agricultural worker residency to fill labor shortages. This is somewhat similar to the European guest worker programs, though with significant differences. H-2A requires the farmer to provide housing and take legal responsibility for his or her workers. H-2B visas allow for temporary non-agricultural workers, without as much employer responsibility. A bill was introduced into Congress with bi-partisan support to modernize the H-2A program, so that legislative effort may have legs. Maybe there can be a (gasp!) compromise.

President Trump last week came out strongly in favor of this sort of solution, with a surprisingly positive take on the (illegal) workers who have worked diligently on a farm for years. By “put you in charge” he is seems to refer to the responsibilities that H-2A employers undertake for their employers, and perhaps extending that to H-2B employers. He acknowledges that the far-right will not be happy, but hopes “they’ll understand.” From Newsweek:

“We’re working on legislation right now where – farmers, look, they know better. They work with them for years. You had cases where…people have worked for a farm, on a farm for 14, 15 years and they get thrown out pretty viciously and we can’t do it. We gotta work with the farmers, and people that have hotels and leisure properties too,” he said at the Iowa State Fairgrounds in Des Moines on Thursday.

“We’re gonna work with them and we’re gonna work very strong and smart, and we’re gonna put you in charge. We’re gonna make you responsible and I think that that’s going to make a lot of people happy. Now, serious radical right people, who I also happen to like a lot, they may not be quite as happy but they’ll understand. Won’t they? Do you think so?”

We shall see.

Central Banks Are Buying Gold; Should You?

Anyone who reads financial headlines knows that gold prices have soared in the past year. Why?

Gold has historically been a relatively stable store of value, and that role seems to be returning after decades of relative neglect. Official numbers show sharply increased buying by the world’s central banks, led by China, Poland, and Azerbaijan in early 2025. Russia, India and Turkey have also been major buyers. There is widespread conviction that actual gold purchases are appreciably higher than the officially-reported numbers, to side-step President Trump’s threatened extra tariffs on nations seen as de-dollarizing.

I think the most proximate cause for the sharp run-up in gold prices in the past twelve months has been the profligate U.S. federal budget deficit, under both administrations. This is convincing key world actors that the dollar will become increasingly devalued over time, no matter which party is in power. Thus, it is prudent to get out of dollars and dollar-denominated assets like U.S. T-bonds.

Trump’s erratic and offensive policies and statements in 2025 have added to the desire to diversify away from U.S. assets. This is in addition to the alarm in non-Western countries over the impoundment of Russian dollar-related assets in connection with the ongoing Russian invasion of Ukraine. Also, there is something of a self-fulfilling momentum aspect to any asset: the more it goes up, the more it is expected to go up.

This informative chart of central bank gold net purchasing is courtesy of Weekend Investing:

Interestingly, central banks were net sellers in the 1990s and early 2000s; it was an era of robust economic growth, gold prices were stagnant or declining, and it seemed pointless to hold shiny metal bars when one could invest in financial assets with higher rates of return. The Global Financial Crisis of 2008-2009 apparently sobered up the world as to the fragility of financial assets, making solid metal bars look pretty good. Then, as noted, the Western reaction to the Russian attack on Ukraine spurred central bank buying gold, as this blog predicted back in March, 2022.

Private investors are also buying gold, for similar reasons as the central banks. Gold offers portfolio diversification as a clear alternative from all paper assets. In theory it should offer something of an inflation hedge, but its price does not always track with inflation or interest rates.

Here is how gold (using GLD fund as a proxy) has fared versus stocks (S&P 500 index) and intermediate term U. S. T-bonds (IEF fund) in the past year:

Gold is up by 40%, compared to 12.6% for stocks. That is huge outperformance. This was driven largely by the fact that gold rose strongly in the Feb-April timeframe, while stocks were collapsing.

Below we zoom out to look at the past ten years, and include the intermediate-term T-bond fund IEF:

Gold prices more than doubled from 2008 to 2011, then suffered a long, painful decline over the next two years. Prices were then fairly stagnant for the mid-2010s, rose significantly 2019-2020, then stagnated again until taking off in 2023. Stocks have been much more erratic. Most of the time stock returns were above gold, but the 2020 and 2024 plunges brought stocks down to rough parity with gold. Since about 2019, T-bonds have been pathetic; pity the poor investor who has been (according to traditional advice) 40% invested in investment-grade bonds.

How to invest in gold? Hard-core gold bugs want the actual coins (no-one can afford a full bullion bar) to rub between their fingers and keep in their own physical custody. You can buy coins from on-line dealers or local dealers. Coins are available from the U.S. Mint, but reportedly their mark-ups are often higher than on the secondary market. 

An easier route for most folks is to buy into a gold-backed stock fund. The biggest is GLD, which has over $100 billion in assets. There has long been an undercurrent of suspicion among gold bugs that GLD’s gold is not reliably audited or that it is loaned out; they refer derisively to GLD as “paper gold” or gold derivatives.  The fund itself claims that it never lends out its gold, and that its bars are held in the vaults of the custodian banks JPMorgan Chase Bank, N.A. and HSBC Bank plc, and are independently audited. The suspicious crowd favors funds like Sprott Physical Gold Trust, PHYS. PHYS is claimed to have a stronger legal claim on its physical gold than GLD. However, PHYS is a closed-end fund, which means it does not have a continuous creation process like GLD, an open-end ETF. This can lead to discrepancies between the fund’s share price and the value of its gold holdings. It does seem like PHYS loses about 1% per year relative to GLD.

Disclaimer: Nothing here should be taken as advice to buy or sell any security.

Saving Money by Ordering Car Parts from Amazon or eBay

Here is a personal economical anecdote from this week. A medium-sized dead branch fell from a tall tree and ripped off the driver side mirror on my old Honda. My local repair shop said it would cost around $600 to replace it. That is a significant percentage of what the old clunker is worth. Ouch.

They kindly noted that most of that cost would was ordering a replacement mirror assembly from Honda, which would cost over $400 and take several days to arrive.  I asked if I could try to get a mirror from a junkyard, to save money. The repair guy said they would be willing to install a part I brought in, but suggested eBay or Amazon instead.

Back 20 years ago, before online commerce was so established, my local repair shop would routinely save us money by getting used parts from some sort of junkyard network.
So, I started looking into that route. First, junkyards are not junkyards anymore, they are “salvage yards.” Second, it turns out that to remove a side mirror from a Honda is not a simple matter. You have to remove the inside whole plastic door panel to get at the mirror mounting screws, and removing that panel has some complications. Also, I could not find a clear online resource for locating parts at regional salvage yards. It looks like you have to drive to a salvage yard, and perhaps have them search some sort of database to find a comparable vehicle somewhere that might have the part you want.


All this seemed like a lot of hassle, so I went to eBay, and found a promising looking new replacement part there for about $56, including shipping. It would take about a week to get here (probably being direct shipped from China). On Amazon, I found essentially the same part for about $63, that would get here the next day. For the small difference and price, I went the Amazon route, partly for the no hassle returns if the part turned out to be defective and partly because I get 5% back on my Amazon credit card there.
I just got the car back from the repair shop with the replacement mirror, and it works fine. The total cost, with labor was about $230, which is much better than the original $600+ estimate.


I’m not sure how broadly to generalize this experience. Some further observations:

( 1 ) For a really critical car part, I’d have to consider carefully if the Chinese knock-off would perform appreciably worse than some name-brand part – -although, I believe many repair shops often use parts that are not strictly original parts.

( 2 ) Commonly replaced parts like oil and air filters are typically cheaper to buy on-line than from your local Auto Zone or other local merchant. I like supporting local shops, so sometimes I eat the few extra $$ and shopping time, and buy from bricks and mortar.

( 3 ) Some repair shops make significant money on their markup on parts, and so they might not be happy about you bringing in your own parts. They also might decline to warrant the operation of that part. And many big box franchise repair shops may simply refuse to install customer-supplied parts.

( 4 ) For a newish car, still under warranty, the manufacturer warranty might be affected by using non-original parts.

( 5 ) Back to junk/salvage yards: there are some car parts, so-called hard parts, that are expected to last the life of the car. Things like the mounting brackets for engine parts. Typically, no spares of these are manufactured. So, if one of those parts gets dinged up in an accident, your only option may be used parts taken from a junker.

Did Apple’s Recent “Illusion of Thinking” Study Expose Fatal Shortcomings in Using LLM’s for Artificial General Intelligence?

Researchers at Apple last week published with the provocative title, “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.”  This paper has generated uproar in the AI world. Having “The Illusion of Thinking” right there in the title is pretty in-your-face.

Traditional Large Language Model (LLM) artificial intelligence programs like ChatGPT train on massive amounts of human-generated text to be able to mimic human outputs when given prompts. A recent trend (mainly starting in 2024) has been the incorporation of more formal reasoning capabilities into these models. The enhanced models are termed Large Reasoning Models (LRMs). Now some leading LLMs like Open AI’s GPT, Claude, and the Chinese DeepSeek exist both in regular LLM form and also as LRM versions.

The authors applied both the regular (LLM) and “thinking” LRM versions of Claude 3.7 Sonnet and DeepSeek to a number of mathematical type puzzles. Open AI’s o-series were used to a lesser extent. An advantage of these puzzles is that researchers can, while keeping the basic form of the puzzle, dial in more or less complexity.

They found, among other things, that the LRMs did well up to a certain point, then suffered “complete collapse” as complexity was increased. Also, at low complexities, LLMs actually outperform LRMs. And (perhaps the most vivid evidence of lack of actual understanding on the part of these programs), when they were explicitly offered an efficient direct solution algorithm in the prompt, the programs did not take advantage of it, but instead just kept grinding away in their usual fashion.

As might be expected, AI skeptics were all over the blogosphere, saying, I told you so, LLMs are just massive exercises in pattern matching, and cannot extrapolate outside of their training set. This has massive implications for what we can expect in the near or intermediate future. Among other things, the optimism about AI progress is largely what is fueling the stock market, and also capital investment in this area: Companies like Meta and Google are spending ginormous sums trying to develop artificial “general” intelligence, paying for ginormous amounts of compute power, with those dollars flowing to firms like Microsoft and Amazon building out data centers and buying chips from Nvidia. If the AGI emperor has no clothes, all this spending might come to a screeching crashing halt.

Ars Technica published a fairly balanced account of the controversy, concluding that, “Even elaborate pattern-matching machines can be useful in performing labor-saving tasks for the people that use them… especially for coding and brainstorming and writing.”

Comments on this article included one like:

LLMs do not even know what the task is, all it knows is statistical relationships between words.   I feel like I am going insane. An entire industry’s worth of engineers and scientists are desperate to convince themselves a fancy Markov chain trained on all known human texts is actually thinking through problems and not just rolling the dice on what words it can link together.

And

if we equate combinatorial play and pattern matching with genuinely “generative/general” intelligence, then we’re missing a key fact here. What’s missing from all the LLM hubris and enthusiasm is a reflexive consciousness of the limits of language, of the aspects of experience that exceed its reach and are also, paradoxically, the source of its actual innovations. [This is profound, he means that mere words, even billions of them, cannot capture some key aspects of human experience]

However, the AI bulls have mounted various come-backs to the Apple paper. The most effective I know of so far was published by Alex Lawsen, a researcher at LLM firm Open Philanthropy. Lawsen’s rebuttal, titled “The Illusion of the Illusion of Thinking,  was summarized by Marcus Mendes. To summarize the summary, Lawsen claimed that the models did not in general “collapse” in some crazy way. Rather, the models in many cases recognized that they would not be able to solve the puzzles given the constraints input by the Apple researchers. Therefore, they (rather intelligently) did not try to waste compute power by grinding away to a necessarily incomplete solution, but just stopped. Lawsen further showed that the ways Apple ran the LRM models did not allow them to perform as well as they could. When he made a modest, reasonable change in the operation of the LRMs,

Models like Claude, Gemini, and OpenAI’s o3 had no trouble producing algorithmically correct solutions for 15-disk Hanoi problems, far beyond the complexity where Apple reported zero success.

Lawsen’s conclusion: When you remove artificial output constraints, LRMs seem perfectly capable of reasoning about high-complexity tasks. At least in terms of algorithm generation.

And so, the great debate over the prospects of artificial general intelligence will continue.

The Comeback of Gold as Money

According to Merriam-Webster, “money” is: “something generally accepted as a medium of exchange, a measure of value, or a means of payment.”  Money, in its various forms, also serves as a store of value.  Gold has maintained the store of value function all though the past centuries, including our own times; as an investment, gold has done well in the past couple of decades. I plan to write more later on the investment aspect, but here I focus on the use of physical gold as a means of payment or exchange, or as backing a means of exchange.

Gold, typically in the form of standardized coins, served means of exchange function for thousands of years. Starting in the Renaissance, however, banks started issuing paper certificates which were exchangeable for gold. For daily transactions, the public found it more convenient to handle these bank notes than the gold pieces themselves, and so these notes were used instead of gold as money.     

In the late nineteenth and early twentieth centuries, leading paper currencies like the British pound and the U.S. dollar were theoretically backed by gold; one could turn in a dollar and convert it to the precious metal. Most countries dropped the convertibility to gold during the Great Depression of the 1930’s, so their currencies became entirely “fiat” money, not tied to any physical commodity. For the U.S. dollar, there was limited convertibility to gold after World War II as part of the Bretton Woods system of international currencies, but even that convertibility ended in 1971. In fact, it was illegal for U.S. citizens to own much in the way of physical gold from FDR’s (infamous?) executive order in 1933 until Gerald Ford’s repeal of that order in 1977.

So gold has been essentially extinct as active money for nearly a hundred years. The elite technocrats who manage national financial affairs have been only too happy to dance on its grave. Keynes famously denounced the gold standard as a “barbarous relic”, standing in the way of purposeful management of national money matters.

However, gold seems to be making something of a comeback, on several fronts. Most notably, several U.S. states have promoted the use of gold in transactions. Deep-red Utah has led the way.  In 2011, Utah passed the Legal Tender Act, recognizing gold and silver coins issued by the federal government as legal tender within the state. This legislation allows individuals to transact in gold and silver coins without paying state capital gains tax.  The Utah House and Senate passed bills in 2025 to authorize the state treasurer to establish a precious metals-backed electronic payment platform, which would enable state vendors to opt for payments in physical gold and silver. The Utah governor vetoed this bill, though, claiming it was “operationally impractical.” 

Meanwhile, in Texas:

The new legislation, House Bill 1056, aims to give Texans the ability, likely through a mobile app or debit card system, to use gold and silver they hold in the state’s bullion depository to purchase groceries or other standard items.

The bill would also recognize gold and silver as legal tender in Texas, with the caveat that the state’s recognition must also align with currency laws laid out in the U.S. Constitution.

“In short, this bill makes gold and silver functional money in Texas,” Rep. Mark Dorazio (R-San Antonio), the main driving force behind the effort, said during one 2024 presentation. “It has to be functional, it has to be practical and it has to be usable.”

Arkansas and Florida have also passed laws allowing the use of gold and silver as legal tender. A potential problem is that under current IRS law, gold and silver are generally classified as collectibles and subject to potential capital gains taxes when transactions occur. Texas legislator Dorazio has argued that liability would go away if the metals are classified as functional money, although he’s also acknowledged the tax issue “might end up being decided by the courts.”

But as Europeans found back in the day, carrying around actual clinking gold coins for purchasing and making change is much more of a hassle than paper transactions. And so, various convenient payment or exchange methods, backed by physical gold, have recently arisen.

Since it is relatively easy and lucrative to spawn a new cryptocurrency (which is why there are thousands of them), it is not surprising that there are now several coins supposedly backed by bullion. These include include Paxos Gold (PAXG) and Tether Gold (XAUT). The gold of Paxos is stored in the worldwide vaults of Brinks, and is regularly audited by a credible third party. Tether gold supposedly resides somewhere in Switzerland. The firm itself is incorporated in the British Virgin Islands. Tether in general does not conduct regular audits; its official statements dance around that fact. These crypto coins, like bullion itself or various funds like GLD that hold gold, are in practice probably mainly an investment vehicle (store of value), rather than an active medium of exchange.

However, getting down to the consumer level of payment convenience, we now have a gold-backed credit card (Glint) and debit card (VeraCash Mastercard). Both of these hold their gold in Swiss vaults. The funds you place with these companies have gold allocated to them, so these are a (seemingly cost-effective) means to own gold. If you get nervous, you can actually (subject to various rules) redeem your funds for actual shiny yellow metal.

“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.

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…

United Health Care Stock Implodes After Withdrawing Guidance, CEO Suddenly Resigns, and WSJ Alleges DOJ Fraud Probe

The United Healthcare Group (UNH) is a gigantic ($260 B market cap, even after recent dip) health plan provider, which until recently seemed to be the bluest of blue-chip companies. It is a purveyor of essential medical services with a wide moat, largely unaffected by tariff posturing, and considered too big to fail. The ten-year stock price chart shows it steadily grinding up and up, shrugging off market tantrums like 2020 and 2022, and even the tragic gunning down of one of its division presidents in December.

But things really unraveled in the past month. Let’s look at the charts, and then get into the underlying causes.

The year-to-date chart above shows the price hanging around $500, then rising to nearly $600 as the April 17 quarterly earnings report approached. Presumably the market was licking its chops in anticipation of the usual UNH earnings beat. The actual report was OK by most corporate standards, but it failed to match expectations. Revenue growth was a hearty +9.8% Y/Y, but this was $2.02B “miss”. Earnings were up 4% over year-ago Q1, but they missed expectation (by a mere 1%). What was probably much more disturbing was guidance on 2025 total adjusted earnings down to $26 to $26.50 per share, compared to $29.74 consensus.

That took the stock down from $600 to around $450 immediately, and then it drifted below $400 in the following month as investors looked for and failed to find better news on the company. But then two things happened last week. The effects are seen in the 1-month chart below:

On May 13 (blue arrow) the company came out with a stunning dual announcement. It noted that the recently-appointed CEO, Andrew Witty, had suddenly resigned “for personal reasons.” The blogosphere speculated (perhaps unfairly) that you don’t suddenly resign from a $25 million/year job unless your “personal reasons” involve things like not going to prison for corporate fraud. The other stunner was that the company completely yanked 2025 financial guidance, due to an unexpected rise in health care costs (i.e., what they must pay out to their participants). Over the next day or two, the stock fell to about 50% of its value in early April.

Then on May 14 the Wall Street Journal came out with an article claiming that the U.S. Department of Justice is carrying out a criminal investigation into UNH for possible Medicare fraud, focusing on the company’s Medicare Advantage business practices. The WSJ said that while the exact nature of the allegations is unclear, it has been an active probe since at least last summer.

UNH promptly fired back a curt response to the “deeply irresponsible” reporting of the WSJ:

We have not been notified by the Department of Justice of the supposed criminal investigation reported, without official attribution, in the Wall Street Journal today.

The WSJ’s reporting is deeply irresponsible, as even it admits that the “exact nature of the potential criminal allegations is unclear.”   We stand by the integrity of our Medicare Advantage program.

The stock nose-dived again (red arrow, above), touching 251, as investors completely panicked over “Medicare fraud.”  Cooler heads promptly started buying back in, leading to substantial recovery. That includes the new CEO, Steven Hemsley, who was the highly-paid CEO from 2009 to 2017, and since then has been the highly-compensated “executive chairman of the board”, a role created just for him. Pundits were impressed that he stepped in to buy some $25 million of UNH stock near its lows, saying wow, he is really putting some skin in the game. Well, not really: the dude is worth over $1 billion (did I mention high compensation of health care execs?), so $25 mill is hardly heroic. He is already up some 12% or a cool $3 million on this purchase, a tidy little example of how the rich become richer.

Learnings From Trading Short Volatility Funds, 2. Use Leveraged Stock Funds Instead

In last week’s post, I described how short volatility funds work. They are short (as opposed to long) near-term VIX futures. This means that when a market panic hits and VIX (as measure of volatility) spikes, the prices of these short vol funds plunge, along with stock prices. But as optimism returns to the markets, prices of short vol funds start to recover, as do stocks.

Thus, both short vol funds and general stock funds are reasonable ways to play a market panic. If (!!!) you manage to call the bottom and buy there, you can hold for maybe a couple of weeks until prices recover, and then sell at a profit.  I tried to do just that with the market meltdown last month in the wake of the president’s tariff ultimatums: I bought some short vol funds (SVXY, which is a moderate -0.5X VIX fund, and the more aggressive -1X fund SVIX), and also some leveraged stock funds. I discussed leveraged funds here.

I chose to buy into SSO, a 2X leveraged S&P 500 stock fund, whose daily price moves up (or down) by twice the percentage as does the S&P. Obviously, if you think stocks will go up say 10% in the next month, you will make more money by buying a fund that will go up 20% instead, which is why I bought a 2X fund rather than a plain vanilla (1X) stock fund. A related fund, which I did not buy this time, is UPRO, which is a 3X stock fund.

Things are always clear in hindsight. After the smoke of battle clears, you can see right where the bottom was. But it is not clear when you are in the thick of it. I erred by committing much of my dry powder trading funds too early, maybe halfway through the big drop. C’est la vie. It’s hard to improve on that for next time. But a significant learning, that I will act on during the next panic, was how differently short vol versus leveraged stocks recovered from the crash. They both plunged and recovered, but leveraged stocks recovered much better.

It turns out that much of the time, the price movements over say a six-month period of SVXY and SSO largely match each other, so these are useful for comparisons for trading short vol versus leveraged stocks. For instance, below is a chart of SVXY (orange line) and SSO (green line) over the past six months or so. The blue arrow notes the April crash, which bottomed roughly April 8. For November through early April, the price movements of the two funds roughly matched. By April 8, both had plunged to a level some 35% lower than their starting prices. However, by May 12, SSO had recovered to -10% (relative to starting), which is about where it was in late March (green level line drawn in). SVXY, however, remained 21% below its start.

Chart of SVXY ( -0.5X VIX ETF, Orange line) and SSO (2X Stock fund, green line), Nov 2024-May 2024. Blue arrow marks April 2025 volatility spike/stock crash. Chart from Seeking Alpha.

Thus, from its nadir (-35%) to its recovery as of Tuesday, May 12, SSO gained by 38% (i.e., ratioing 0.90/0.65), whereas SVXY gained only 21% (from ratioing 0.79/0.65). Also, it looks like SVXY will not regain its earlier price levels any time soon. So SSO looks like the winner here.

We can do a similar comparison between the -1X VIX fund SVIX and the 3X stock fund UPRO. These two funds are plotted below, along with a plain (1X) S&P 500 stock fund, SPY (in blue). SVIX (orange) and UPRO (green) trend pretty closely for October through March. When the April crash came, SVIX dropped much harder, down to a heart-stopping -59%, compared to -44% for UPRO. SPY dropped only to -15%.  SPY comes to a full recovery (0%) by May 12, while UPRO recovers only to -13% [1].    SVIX has recovered only to -21%. If you managed to buy each of these funds on April 8, and sold them today, you would have made the following gains:

SPY 17% ; UPRO 55%;  SVIX  43%.    Clearly the winner here in short term trading of the April crash is the 3X stock fund UPRO.

Chart of SVIX ( -1X VIX ETF, Orange line), UPRO ( 3X Stock fund, green line), and SPY (1X Stock fund, blue line), Oct 2024-May 2024. Chart from Seeking Alpha.

As a cross check, below is a plot of SVXY (orange) and SSO (green) covering the August, 2024 volatility spike. This was a peculiar event, discussed here, where volatility went crazy for a couple of days, while stock prices experienced only a moderate drop. If (!!!) you timed it just right, and bought at the bottom and sold a week or so later, you could have made good money on SVXY. But zooming out to the larger picture, SVXY never came close to recovering its old highs, whereas SSO just kept going up and up (green arrow). So SSO seems like a safer trading vehicle: it is a reasonable buy-and-hold, whereas SVXY may be hazardous to your portfolio’s health if you don’t get the timing perfect.

Chart of SVXY ( -0.5X VIX ETF, Orange line) and SSO ( 2X Stock fund, green line), Oct 2023-Oct 2024. Blue arrow marks early August 2024 volatility spike. Chart from Seeking Alpha.

Over certain longer (say one-year) periods, there are regimes where short vol could out-perform leveraged stocks (discussed earlier), but that is the exception, rather than the rule.

Disclaimer: Nothing here should be considered advice to buy or sell any security.

ENDNOTE

 [1] While UPRO changes X3 the change of SPY on a daily basis, for reasons discussed earlier, the longer-term performance of UPRO diverges from a simple X3 relationship with SPY. In volatile times, UPRO tends to fall well below a 3X performance over say a six-month period.

Learnings From Trading Short Volatility Funds, 1. The Tantalizing Promise of Quick Riches

The VIX is a calculated measure of stock market volatility, based on the prices of stock options. It spikes up when there is a market upset, then seemingly always settles back down again after a few days or weeks. So, it seems simple to make a quick profit from this behavior: short the VIX when it spikes, and then close your trade when it comes back down. What could possibly go wrong?

VIX Index, May 2024-April 2025. From Seeking Alpha.

It’s a bit more nuanced than that, since you can’t directly buy or sell the VIX. It is just a calculated number, not a “thing.” However, there is a market for VIX futures. The value of these futures is based on expectations for what VIX will be on some specific date. The values of these futures go up and down as the VIX goes up and down, though there is not an exact 1:1 relationship. There are funds that short VIX futures, which are a proxy for shorting the VIX futures yourself.  So, the individual investor could buy them after the VIX spikes (which would drive down the short VIX fund price), then sell them when VIX declines (and the short VIX fund goes back up).

The chart below shows the VIX (% change, orange curve) in the past twelve months prior to May 1.   There were three episodes (Aug 2024, Dec 2024, Apr 2025) where VIX spiked up. These episodes are marked with green arrows. As expected, when VIX spikes up, the short volatility fund SVIX (purple line) drops down. In August and December, if you were clever enough to buy SVIX at its low, you could turn around and sell in a week later for a good profit. The movements of SVIX are dwarfed this plot by the gyrations of VIX in this chart, but a couple of short red horizontal lines are drawn at the bottoming values for SVIX, to show the subsequent rise. A 3x leveraged S&P 500 fund, UPRO, is shown in blue.

There are important nuances with these funds. One is that a long or short VIX futures fund, at the end of the trading day, must buy and sell some futures shares to meet their performance mandate. As of say May 1, the -1X VIX fund SVIX was short 14,311 May VIX futures contracts (expiring 5/20/2025), and short 10,222 June futures (exp. 6/17/2025). To keep its exposure centered at on one month out from the present date, the fund must buy back some near month (here, May) contracts each day, and short some additional next month (June), at the close of every trading day. If the market value of the near month VIX futures contract is lower than the next month contract (being in “contango”), as it generally is during periods of low volatility, this rolling process makes money every day, to the tune of maybe 5% per month. That compounds big time over time, to over a 60% gain in twelve months. That’s the good side. The VIXcentral site shows current and historical VIX futures prices for the next several months out.

A bad side of these short funds is that the day-to-day inverse movements can rachet the fund value down and down, as VIX goes up and down. So even if the VIX ends up in six months at the same value as it is today, it is possible for a short VIX fund to be lower or higher. This can lead to a more or less permanent step down in fund value. Also, in volatile times, the near futures price is higher than the next month out, and so the daily roll works against you.

There is a term that trading pros use for amateurs who jump into volatility funds without really knowing what they are doing: “volatility tourists”. These hapless investors sometimes hear of big profits that have been made recently in vol, and then buy in, often at what turns out to be the wrong time. Then market storms arise, things don’t go the way they expected, and they get shipwrecked.

Such was the case in 2018. SVXY at that time was a fund that moved inversely to volatility futures, on a -1X daily basis. This short vol trade made insane profits in 2H 2016 and in 2017, far outpacing stocks. Someone who bought into SVXY at the start of 2017 would have quintupled their money by the end of the year. (See chart below, orange line).

However, February 5, 2018 is a day that will live in volatility infamy. Because of the roaring success of short VIX in the previous two years, investors had piled into short VIX ETFs. The VIX suddenly doubled that day, and the short vol funds could not do the daily futures trades they needed, and so their value was decimated. This event is known as Volmageddon. The chart below shows the rise (and fall) of the -1X VIX fund SVXY in orange, compared to a stodgy S&P 500 fund SPY (in green).

Folks who bought SVXY looked like geniuses, until Feb 5. Then they lost it all, more or less. The tourists licked their wounds and moved on, and short vol went clean out of fashion for a while. One short VIX fund, XIV, actually an exchange traded note (ETN), went to zero and closed. SVXY itself lost over 90% of its value. After this near-death experience in 2018, SVXY contritely modified its charter from being -1X VIX futures to being -0.5X. That reduces its exposure to vol shocks. That modification served it well in March, 2020 when the world shut down and VIX shot to the moon and stayed there for some time. SVXY lost something like 70% of its value then, but it lived to trade another day, and slowly clawed its way back.

However, short vol has made a comeback in recent years. The -0.5X SVXY was joined in mid-2022 with a new -1X VIX fund, SVIX (for investors who don’t remember what happened to -1X funds in 2018! ). Short vol actually had a very good run in 2022, 2023, and first half of 2024:

The chart above shows SVIX ( -1X, purple) and SVXY (-0.5X, blue), along with the S&P500 (stodgy orange line) over the past three years. The two inverse vol funds totally smoked the S&P through July, 2024. Investors in SVIX were up over 300%, compared to 35% in stocks. Even the more conservative vol fund SVXY was up 165%. Yee-haw!

The volatility tourists poured in, and then came August 5, 2024, with a short, sharp, unexpected spike in volatility. As we noted earlier, it was not so much that stocks cratered, but there was a hiccup in the global financial system, mainly around unwinding of the yen carry trade. The values of the short vol funds got decimated. Then the recent brouhaha over tariffs in April 2025 whacked them again. This drove the value of SVIX below the three-year rise in stocks, although SVXY still outpaces stocks (57% vs 35% rise).

There were dips in SVIX and SVXY in March 2023 (Silicon Valley Bank blowup), October 2023 (Yom Kippur attacks on Israel by Hamas), and April, 2024, corresponding to spikes in VIX. In those cases, it worked great to buy the dip, since within a few months SVIX and SVXY churned to new highs. Many were the articles in the investing world on the wonderful virtues of the daily VIX futures roll. But then August 2024 and April 2025 hit, where there was no complete, rapid recovery from the huge price drops.

What to take away from all this? What comes to my mind are well-worn truisms like:

If it looks too good to be true, it’s probably not true; There is no free lunch on Wall Street; It’s not different this time.

The reason I know this much about these trading products is that I got sucked in a bit by the lure of monster returns. Fortunately, I kept my positions small, and backstopped some trades by using options, so all in all I have probably roughly broken even. That is not great, considering how much attention and nail-biting I have put into short vol trading in the past twelve months.

In an upcoming post, I will report on an alternative way to trade volatility spikes, which has worked out much better.

Disclaimer: Nothing here should be considered advice to buy or sell any security.