Category

Economy

Category

Kevin Hassett’s recent call to “discipline” Federal Reserve researchers over a New York Fed study on tariffs is not just a political swipe. It is a troubling signal about the growing willingness of policymakers to delegitimize economic analysis they find inconvenient or unsupportive. 

Disagreement with research is a normal, healthy part of scientific inquiry. But attempts to intimidate researchers because their findings conflict with a preferred narrative undermine the credibility of policymaking itself. At a moment when trade policy is already generating uncertainty across markets, this kind of rhetoric risks turning economic debate into a loyalty test rather than an evidence-based process.

The New York Fed study in question found that US firms and consumers absorbed the vast majority of tariff costs in 2025, with importers bearing roughly 94 percent of the burden early in the year and still around 86 percent by November. These findings are not outliers. Similar conclusions have been reached by researchers at the Kiel Institute, Harvard University, Yale Budget Lab, and the Congressional Budget Office, all of which point to high pass-through of tariffs into US import prices. 

The basic economic mechanism is well understood: when tariffs are imposed, domestic buyers often face higher costs because foreign exporters rarely slash prices enough to offset the duties. Hassett may disagree with the methodology or emphasis, but calling the research “an embarrassment” that would fail a first-semester economics course dismisses a body of evidence that aligns with decades of empirical trade literature.

Hassett’s principal criticism — that the study focused on prices rather than quantities —  deserves debate, not disciplinary threats. Economists have long examined tariff incidence through price movements precisely because they reveal who ultimately pays. Quantity adjustments, wage effects, and currency adjustments can matter, but they are separate channels that require rigorous modeling and time to evaluate. Simply asserting that tariffs will raise domestic wages or improve consumer welfare does not invalidate evidence showing that price pass-throughs are substantial. Policy analysis requires grappling with tradeoffs, not declaring victory by ignoring uncomfortable metrics.

More concerning is the broader context. The administration has repeatedly attacked institutions and analysts whose conclusions diverge from its messaging, from pressuring private sector economists to dismissing unfavorable labor statistics. 

Federal Reserve officials, including Minneapolis Fed President Neel Kashkari, have warned that such attacks risk compromising the central bank’s independence, a cornerstone of credible monetary policy. Although the Federal Reserve’s current credibility may be open to debate, deliberately undermining it further is imprudent. A strength of the Federal Reserve system lies in its decentralized research structure, where district banks produce analysis that does not necessarily reflect official policy positions. Demanding punishment for economists who publish data-driven findings erodes that institutional integrity and sends a chilling message to researchers across the policy landscape.

There is nothing wrong with policymakers arguing that tariffs could produce broader strategic benefits, whether through reshoring, geopolitical leverage, or sectoral wage gains. Those claims should be debated openly, supported by models and evidence, and tested against real-world outcomes. But dismissing empirical research as “partisan” simply because it challenges a policy narrative turns economic discourse into political theater where bully pulpits have the advantage. 

If policymakers want to persuade markets and the public, they should present competing analyses. Hassett could have assailed the Fed study on the basis of tradeoffs, methodological assumptions, or competing interpretations of the data, rather than resorting to vacant dismissal.

Ignoring the economic effects of tariffs in the face of strong empirical evidence risks veering into a form of modern economic Lysenkoism where political loyalty takes precedence over analysis and communal scientific review. (Trofim Lysenko was a Soviet agronomist who rejected established genetic science, instead promoting politically-favored agricultural theories that aligned with Stalinist ideology. Under his influence, dissenting scientists were silenced, imprisoned, or purged, illustrating how injecting ideology into research handily squelches scientific progress.) 

The issue here is not whether tariffs are good or bad policy, although the administration has already conceded the harms associated with them. It is whether economic research can proceed without fear of reprisal when its conclusions prove inconvenient. Undermining that principle will surely generate a measure of sycophantic political applause, but carries long-term costs — not only for American economic health, but for scientific inquiry itself.

Delayed data confirms inflation remained well above target in December. The Personal Consumption Expenditures Price Index (PCEPI), which is the Federal Reserve’s preferred measure of inflation, grew at an annualized rate of 4.4 percent in the last month of 2025. The PCEPI grew at an annualized rate of 3.1 percent over the prior three months and 2.9 percent over the prior year.

Core inflation, which excludes volatile food and energy prices, also remained elevated. Core PCEPI grew at a continuously compounding annual rate of 4.3 percent in December 2025. It grew at an annualized rate of 3.1 percent over the prior three months and 3.0 percent over the prior year.

Figure 1. Headline and Core Personal Consumption Expenditures Price Index Inflation, December 2020 – December 2025

The outsized price increases were widespread, if uneven. Goods prices grew at an annualized rate of 4.7 percent in December, and were up 1.7 percent year-over-year. The prices of durable goods grew at an annualized rate of 6.8 percent in December, whereas the prices of non-durable goods grew 3.6 percent. Services prices grew 4.2 percent in December. They grew 3.4 percent over the prior year.

Uncertainty Clouds the Policy Outlook

Stubbornly high inflation readings over the back half of 2025 led the Federal Open Market Committee to pause its rate cuts last month, with the federal funds rate target range held at 3.5 to 3.75 percent. FOMC members appear to be divided on whether — and, if so, when — to begin cutting rates again.

Back in December, the median FOMC member projected the federal funds rate would eventually settle around 3.0, albeit sometime after 2028. But the distribution of projections offered anything but certainty. Four FOMC members projected a longer run midpoint of the federal funds rate target range at or above 3.5 percent; five members projected a midpoint between 3.0 and 3.5 percent; five members projected a midpoint at 3.0 percent; and four members projected a midpoint below 3.0 percent.

The median FOMC member projected just one 25-basis-point cut this year. Here, too, FOMC members offered little certainty, however. Seven members projected the federal funds rate would remain at or above its current range this year. Four projected one 25-basis-point cut; four projected two cuts; and three projected more than two cuts.

Cause for Conflict

Why do the FOMC members’ assessments of the proper path for interest rates differ so much? They all have access to the same data, the same models, and an army of economists. Three factors stand out: data problems, policy shocks, and political pressure.

Last year’s government shutdown disrupted the usual flow of data, which has still not been totally restored. Today’s Personal Consumption Expenditures release is roughly one month behind schedule, and the Bureau of Economic Analysis does not expect to be back on track until the end of April. There are also concerns about data quality. When an underlying survey is not conducted, the effects of that missing data might linger on in ways that are difficult to discern. That sows doubt, prompting FOMC members already keen to take a wait-and-see approach to wait a little longer. 

The last year has also been marked by significant policy changes. The Trump administration has ramped up immigration enforcement, reduced regulations, slashed government employment, rolled back green-energy efforts, and overhauled the tax code. It captured and removed former Venezuelan President Nicolás Maduro and has sent an armada to the Middle East, with potentially large and long-lasting implications for American energy costs. These policy changes affect productivity and, with it, estimates of potential output, maximum employment, and the longer run neutral rate of interest. But how and to what extent? The various contributors are so numerous and of uncertain magnitudes that it is anyone’s guess.

Fed officials are particularly focused on President Trump’s tariffs. At the post-meeting press conference in January, Fed Chair Jerome Powell said “our economy has pulled through pretty well […] given the very significant changes in trade policy.” That is partly because the tariffs ultimately imposed by the Trump administration were much lower than those initially announced and the retaliatory tariffs imposed by other countries were more limited than expected, he said. But it is also because “a good part of it hasn’t been passed through to consumers yet.” Powell explained how the Fed models the effects of tariffs:

At the beginning, it was very much of a forecast; now, it’s — every, every cycle that goes by, it becomes more informed by actual data. And we were — we — our forecasts were not far off. What changed was, as I think I said earlier, what changed was what was implemented was smaller than what was announced. In addition, we didn’t see retaliation internationally, and I think people did generally expect that because we saw that in the past. And that really mattered too. And then the other thing is the pass-through — didn’t know how fast that was going to be to consumers, didn’t know how much exporters would take, how much companies in the middle would take, and how much the consumer would take. And it turns out it’s a lot of companies in the middle — who, by the way, are pretty strongly committed to passing the rest of it through, which is one of the reasons why we need to keep our eye on inflation and not declare victory prematurely.

As Powell’s statement makes clear, there was a lot FOMC members didn’t know when tariffs were announced last year, some of which they still don’t know today. Today’s Supreme Court decision on Trump’s use of the International Emergency Economic Powers Act further complicates the analysis. Resolving all that uncertainty takes time — and data. 

Finally, some FOMC members may be concerned with the perceived increase in political pressure on the Federal Reserve. President Trump has consistently called for lower interest rates over the last year. He is believed to have pressured then-Vice Chair for Supervision Michael Barr to step down. He attempted to fire Governor Lisa Cook. He nominated then-CEA Chair Stephen Miran to fill a vacancy at the Fed, presumably to push for lower interest rates. And his Department of Justice opened an investigation into Chair Powell. With these events in mind, some FOMC members may be reluctant to lower the federal funds rate target even if they think a cut is warranted by the data on the grounds that doing so would reduce the Fed’s credibility.

Implications for the March Meeting

FOMC members disagree about the proper path for the federal funds rate. Those disagreements stem from competing views on the many policy shocks realized over the last year and how best to deal with political pressure from the president. Data disruptions make it more difficult than usual to resolve those disagreements. The most recent PCEPI release illustrates the problem well: it arrives roughly a month behind schedule and may be distorted by the efforts taken to deal with missing surveys.

Given the context, it seems likely that the FOMC will continue to hold its federal funds rate steady in March. Indeed, the CME Group puts the odds of a March rate cut at just 4.0 percent.

Despite what you’ve heard, first time homebuyers are not getting dramatically older.

Statistics are like hot dogs — often juicy but with sometimes questionable ingredients. A recent example is a story racing around the country: first-time homebuyers’ median age is 40 this year, versus just 28 years old in 1991. This alarming trend was explored in a November 6 New York Times article, citing survey data from the National Association of Realtors (NAR). 

But I fell into a trap of my own making, by ingesting a “wow” statistic that reinforced my own experience —  I bought my first house in 1991 at age 29. Now I’m hearing this stat everywhere, in news stories and recent conferences I’ve attended. Statistics like this go viral, by simultaneously carrying “factual weight” and yet stirring emotions. 

Yet the statistic, as compelling as it seems, is likely wrong. Housing economists Edward J. Pinto and Joseph S. Tracy at the American Enterprise Institute (AEI) have recently reported why. The two delved into the less-than-appetizing ways the NAR statistic was created. In July 2025, the NAR team sent out 173,250 surveys with 120 questions to answer online. 

Only 6,103 people bothered to answer, a response rate of 3.5 percent. Only 1,281 of that group were first-time homebuyers. 

Not only that, but the AEI team found that those under 35 were under-represented by 17 percent and those aged 45 to 74 were over-represented by 18 percentage points. 

The NAR economists claim their statistics have ninety-five percent confidence, plus or minus 1.25 percent, but statistical confidence for representing a US population of around 86 million homeowners collapses when the sample is no longer random. Fancy weighting techniques may give an aura of fixing the problem, but rely on subjective guesswork and hard-to-track biases. 

Pinto and Tracy at AEI instead used the New York Federal Reserve Bank Consumer Credit Panel (CCP), which uses a five-percent random sample of all credit reports tied to a Social Security number, and provides borrower age and home buying history.   

And guess what they found? The median age of the first-time homebuyer is approximately 33 years old — not 40 — and has been steady between 2001 and today. Research by The Cato Institute using the US Census Bureau’s American Housing Survey also “casts doubt” on the NAR data, revealing results similar to those reported by AEI researchers. 

The incorrect NAR fact nugget might rapidly dissolve if it didn’t carry so much emotional resonance with those who feel the housing market is “unfair.” But here’s the deeper problem: when a statistic feels true, because it fits in our narrative of how the world works, its power can rapidly sway public policies in the wrong direction. 

What Pinto and other housing experts agree upon (including the NAR economists) is a widespread housing affordability problem, but the larger lesson is that it is impacting people across all ages. Thanks to zoning restrictions on housing density and other challenges, we’re simply not building enough homes. 

What’s more, we make it very difficult for many to purchase homes in less-affluent areas, by making so-called “small dollar mortgages” less profitable for banks to issue. Dodd-Frank banking regulations in the wake of the 2008 Great Recession vastly increased the overhead for issuing these loans, resulting in a rapid drop in mortgage access at the lower end of the market, as The Wall Street Journal has previously reported.

My research with colleagues at New America shows that millions of inexpensive homes exist in the United States, but the financing is unavailable for many families. This leads to falling homeownership rates, and in some cases, property values. Only 23 percent of homes that cost below $100,000 (including condos) were purchased with a mortgage loan, according to a 2020 Urban Institute study. Cash buyers made up the rest.

Community banks, which are more likely to serve these customers, are particularly hard hit by the Dodd-Frank banking regulations. Since 2010 we have lost over 3,600 community banks, “a reduction of over 45 percent,”  according to Treasury Secretary Scott Bessent’s remarks at a conference in October 2025. 

In other words, if we want to concentrate on improving homeownership across all ages, we need to base our policies on statistics that are built upon rigorous methodological foundations. Otherwise, repeating an appetizing but incorrect statistic around first-time homeownership could lead to chronic economic heartburn.

Measuring state-level prices with adequate precision requires a lot of data collection, and there’s always a long lag between the time period measured and the release of the data. The BEA has now released its data on state-level prices and inflation for 2024, a year when US growth patterns diverged from their pandemic-era patterns.

California, believe it or not, was the fastest-growing state economy in 2024, once you adjust for inflation. Typically, California has featured about average nominal growth rates and higher-than-average inflation rates, resulting in lower-than-average real growth rates. But in 2024, that longstanding pattern reversed.

Indeed, the entire Pacific Coast did well in 2024, as did much of New England and the Carolinas. The Mountain West and the Midwest suffered by comparison (Figure 1).

Figure 1: Map of State Real Personal Income Growth Rates

How much of the growth in the Pacific Coast and New England states came from faster nominal income growth, and how much came from lower inflation? To answer this question, let’s look at nominal growth rates first (Figure 2). The Carolinas were the fastest-growing states by nominal income, followed by Idaho and California. The Dakotas and Nebraska stand out for slow nominal income growth. Most of New England is comfortably, but not dramatically, above average.

Figure 2: Map of State Nominal Income Growth Rates

The gap between nominal and real growth rates represents inflation. But let’s map inflation on its own (Figure 3). That Massachusetts had the lowest inflation rate in the US in 2024 may be a bit of a surprise. All the Pacific states are also low, as is New Hampshire. Montana had the highest inflation in the country, followed by Idaho, Utah, and Nevada. It’s worth noting here that low-population states tend to have the biggest year-to-year swings in inflation rates. It’s not that they tend to be higher or lower, just more volatile and less predictable.

Figure 3: Map of State Inflation Rates

It’s possible that growing housing demand in the Mountain West states may be responsible for their low real growth rates. If the people moving to the Mountain West states are productive workers, we would expect nominal growth rates to rise as well. Retirees, by contrast, don’t add as much to the productive capacity of an economy.

To look at the housing component specifically, I have mapped changes in state real price parities for rents in Figure 4. These numbers represent state-level change in rents relative to the US average. So a positive figure means that rents rose more rapidly in the state than in the US in 2024, and a negative figure means that rents rose more slowly in the state than in the US that year, not necessarily that they fell in absolute terms.

Figure 4: Map of State Change in US-Relative Rents

California had the third-lowest growth rate of rents in the US, after DC and Wyoming. That’s a dramatic turnaround for what is still America’s most expensive state for housing. The fact that the state maintained high nominal income growth alongside slow rental inflation implies that California’s slow rental inflation may be a result of new housing supply, rather than falling housing demand. If so, that means that the housing reforms that the state has enacted are starting to have an effect on production and rents. It’s plausible as well that the AI boom, in full swing already by 2024, had positive effects on California’s economy.

Montana had the fastest growth rate of rents in the US in 2024. Note that Montana’s famous housing reforms did not go into effect until at least September 2024, because they were under a district court injunction until then. The state’s high court upheld the reforms only in March 2025. There’s no way developers could have built that many homes between September and December 2024, even if they had filed building permit applications immediately after the injunction was lifted.

Why did the Great Plains states do so poorly? One possibility is commodity deflation. Export price indices for agricultural commodities (Figure 5) and mining, including oil and gas (Figure 6), declined after the pandemic, through 2023 and most of 2024.

Figure 5: Growth Rate of US Export Price Index for Agricultural Commodities

Figure 6: Growth Rate of US Export Price Index for Mining, Quarrying, and Oil and Gas Extraction

When the prices of commodities fall in global markets, the incomes of commodity producers tend to fall, unless they can significantly increase production. Low incomes in states reliant on commodities also impact the wages of, and demand for, local service industries. Global price fluctuations are far outside the control of state governments, but they are a fact of life for commodity producers and the firms that serve them.
It’s important not to overinterpret one year of state-level data, since these numbers can be so volatile. Over the long run, the evidence suggests that state policies that respect freedom of contract and private property rights promote real income growth. In the short run, random price fluctuations can have an outsized impact on averages. In 2024, it appears that commodity prices, the AI boom, and housing reforms (especially in California and possibly also Washington and Oregon) had a significant effect on state inflation-adjusted growth rates.

By the time Mission: Impossible — The Final Reckoning hit theaters last May, the marketing narrative had become as famous as the franchise itself. The studio made sure we knew that when Tom Cruise hung off the wing of a biplane at 8,000 feet, he was actually doing it. There were safety riggings, sure, but there were no pixels where the human should be.

Compare that to the reception of recent VFX-heavy blockbusters, where armies of digital artists are employed to create spectacles, at grand scale but without stakes. The audience disconnects. We know nobody is in danger. Audiences struggle to empathize with purely artificial characters, even when the visuals are flawless, because we connect emotionally to agency and risk. When everything can be faked, the premium on what is real skyrockets.

In a previous article, Rise of the Curators, I argued that as AI commoditizes the mundane — automating logic, logistics, and basic creation — humans would ascend the “economic value ladder” toward high-touch, curated experiences. 

But there is a second half to that prediction, one that is now unfolding with surprising economic force. We not only seek human curators, we are actively rebelling against the digital itself. An “authenticity recoil” is underway — a consumer-driven pivot back to physical, imperfect, high-friction experiences.

Combine this dynamic with the lingering cultural counterreaction to the isolation of COVID-era restrictions of the early 2020s, and you have a perfect storm for an explosion of deliberately offline human engagement. We won’t all become Luddites and burn our laptops in bonfires; but these tools will likely be increasingly reserved for work and utility, while our recreation and human connection return to the physical.

The Data of the Analog Renaissance

If this sounds too theoretical, the market data beg to differ. The economic indicators of 2024 and 2025 show a distinct capital flow away from screens and toward the tactile.

Take the music industry. Vinyl records now decisively outsell CDs, and that gap only widened through 2024 and 2025. This isn’t just Boomer nostalgia buying. The trend is driven largely by people under 40, who are rejecting the algorithmic “perfection” of streaming playlists for the deliberate, tactile ritual of dropping a needle on a groove.

Simultaneously, a deliberate “dumbphone” is no longer a niche choice but a measurable market segment. Global sales of basic feature phones — devices that call, text, and do little else — hit 1.1 billion units in 2024. Buyers are desperate to reclaim their time and attention from the slot-machine mechanics of the smartphone.

Mark Manson presciently captured this thinking in a 2014 article, when he wrote:

Limitless access to knowledge brings limitless opportunity. But only to those who learn to manage the new currency: their attention.

Even photography is regressing, beautifully. Film photography has come roaring back, prompting Kodak to bring Ektachrome E100 back from the dead to meet demand. AI can generate a hyper-realistic image of a sunset in seconds, but people are waiting weeks and paying dollars to see a grainy, imperfect photo they took themselves. Why? Because the film photo is proof of life. They were there, physically, in that moment, creating something real.

Why This Matters: The Loneliness Paradox

This turn toward offline life isn’t just aesthetic. It reflects a growing health concern.

Researchers now describe a loneliness epidemic, intensified by pandemic isolation but rooted in earlier technological shifts. In The Anxious Generation, social psychologist Jonathan Haidt argues that the move from a “play-based childhood” to a “phone-based childhood” deprived young people of the in-person social experiences that build emotional resilience and empathy. 

Beginning in the early 2010s, rates of anxiety and depression rose in close correlation with smartphone-centered social life. AI threatens to extend this pattern in adulthood. As interaction becomes easier to simulate, the temptation to replace embodied relationships with digital ones grows — even as their emotional limits become clearer.

Face-to-face rebounded quickly once COVID-era restrictions were lifted. Zoom spiked from 82,000 customers in 2019 to 470,000 in 2020, down to 191K in 2021, as soon as people felt free to gather again. That rebound to the real revealed something fundamental: digital tools can transmit information, but they struggle to reproduce the full emotional bandwidth of physical presence.

Our brains evolved in physical communities, not virtual ones. The current revival of in-person experience is not nostalgia. It is adaptation — a response to a world where efficiency has outpaced meaning, and where presence has become scarce.

The “Offline Premium”

Both social research and market trends show people are actively pushing back against digital saturation. Clear economic signals indicate people value presence more than ever.

Digital detoxing, or intentionally limiting or stopping the use of digital devices, has become a mainstream cultural phenomenon. One recent Harvard-linked study found a one-week break from social media was associated with improvement in depressive symptoms (24.8 percent), anxiety (16.1 percent), and insomnia (14.5 percent). Unplugging can protect our mental health. 

Hybrid work, even for tech-heavy fields, indicates leaders are considering how to maximize in-person, undistracted connections.

Communal dining is increasingly popular, as Gen Z patrons have embraced the awkwardness of connecting with strangers over a meal. In doing so, they’ll rediscover a depth of conversation that inherently requires presence. 

These are not retrograde moves; they’re economically rational responses to what machines can’t do. AI struggles to generate genuine surprise, nuance, empathy, or emotional resonance. Humans are wired to.

The Rise of High-Fidelity Spaces

This recoil from the digital is even reshaping the “experience economy.” We are moving beyond “curated experiences” (like a travel plan) to “curated restrictions.”

Consider the explosion of vinyl “listening bars” across the US and Europe over the last year. Modeled after the Japanese kissaten, these venues are dedicated to high-fidelity audio. They often have strict rules: no shouting, no flash photography, sometimes no phones at all. You are there to listen.

Similarly, the use of Yondr pouches — locking phone cases that create phone-free spaces — has exploded. The company recently celebrated facilitating over 20 million phone-free experiences at concerts, schools, and comedy shows. Artists are realizing that to create a “transformation” (the highest rung of the economic ladder), the audience must be severed from the digital tether.

Until recently, curators excelled by helping you find the best digital content. In the new economy, the curator’s job is (at least sometimes) to build a wall against the digital content, creating a sanctuary where genuine human connection can occur.

The Economic Pivot in Perspective

Any business relying solely on digital scalability and optimization is betting against a rising tide of human desire. AI will drive the marginal cost of derivative, re-combinatorial content creation to zero, which means the monetary value of digital content will also approach zero.

The value is in using AI and other tools to migrate and gain efficiency in core offerings of things AI cannot forge by itself: the heat of a crowd, the scratch of a record, the risk of a stunt, the silence of a phone-free room.

I use digital tools constantly and deeply in all of my work. But last weekend I woke up on Saturday morning and I didn’t log into a digital world. I built a fire. I listened to records — full albums, side A to side B. I read a book. I talked with my wife, while our girls cuddled up close with floor pillows and some musical instruments. We spent hours enjoying each other’s company with nothing digital in sight.

It was beautiful and refreshing. But more importantly, it felt expensive. It felt like a luxury that the digital world is actively trying to steal.

If you aren’t prioritizing putting yourself physically in a room, across a table, around a fire with people you love and enjoy, you may be missing out on a great gift. And if you are an entrepreneur or investor, you might be neglecting the only asset class that AI cannot inflate away: reality itself.

The finale of Stranger Things leaves viewers with an emotional cocktail: relief, nostalgia, bittersweet satisfaction — and perhaps confusion. What became of the military personnel and the compound? More puzzling, though, is a quieter moment near the end, when young adventurers Nancy, Robin, Steve, and Jonathan sit on a roof, reaffirming their friendship and readying themselves for adulthood. As a business professor and big fan of the show, I found myself frustrated when Jonathan shared his aspiration to make an “anti-capitalist” film. It is an odd note to strike in a series that has consistently portrayed markets and material progress in a largely positive light.

At its core, Stranger Things is a story about resisting control and reclaiming agency. Whether it is Vecna using people as vessels, government scientists exploiting children, Soviet agents operating through secrecy and force, or public-school systems enforcing conformity, the show repeatedly affirms the idea that no one has the right to commandeer another’s life. Free choice — and the defense of what one values — is treated as paramount. In the final episode, viewers are invited to cheer for better opportunities ahead for an unlikely band of friends.

Only a market-based system can enable progress, which is why Jonathan’s anti-capitalist stance feels so misplaced. Take Season 3, for instance, when capitalism was quite clearly on display. In “Chapter 8: The Battle of Starcourt,” Soviet agents operate in secrecy and with force in an underground base beneath a Midwestern shopping mall. The symbolism is unmistakable: a closed, authoritarian system hidden below an open commercial space. Above ground are voluntary exchange and decentralized activity; below ground are coercion and centralized control. The contrast could not be clearer.

Starcourt Mall itself is not depicted as a moral failing or cultural wasteland. It is where teenagers shop, socialize, and work. Steve’s friendship with Robin begins at Scoops Ahoy, their shared place of employment. Where we work, what we consume, and the process of an exchange or transaction often creates opportunities for human connection. Moreover, commerce facilitates responsibility, independence, and individuality.

Capitalism is featured throughout Stranger Things in the mundane choices that allow the characters to form identities and solve problems. From Nike sneakers and Members Only jackets to New Coke, cassette tapes, and record stores, the characters signal belonging, rebellion, and aspiration through what they wear and listen to. Max’s favorite song, “Running Up That Hill (A Deal with God)” by Kate Bush, became a favorite of many Stranger Things fans and went viral globally 40 years after its 1985 debut.

Consumer choices are expressive, not imposed: markets supply options rather than dictate meaning. Actually, Eleven’s attachment to Eggo waffles is a particularly telling example. It is not trivial product placement, but a symbol of preference, comfort, and agency — the opposite of the sterile control she experiences in Hawkins Lab. And the trips the kids take to stores like Radio Shack underscore how decentralized markets provide the tools for experimentation and creativity. The kids do not wait for institutions to rescue them; they buy, build, and improvise.

The finale reinforces this theme through Jim Hopper and Joyce Byers (Jonathan’s mother). Hopper shares news of a new job opportunity that offers better pay, more stability, and closer proximity to Joyce’s sons. The optimism that Hopper and Joyce share in that scene is not abstract or ideological; it is material. Hopper splurges on caviar and wine to celebrate, taking pleasure in providing for the woman he loves. Joyce, who spent much of the series barely scraping by, can finally imagine a life with less struggle.

For years, Joyce worked long hours at a convenience store for little pay, while Hopper stagnated in a run-down cabin, bored by routine policing duties. In the finale, both choose differently. Their desire to flourish is about wages, mobility, and the possibility that the past need not determine the future. Capitalism does not guarantee success, but it does make advancement possible through skill, effort, and risk-taking.

Even Jonathan’s own future rests on this foundation. He plans to pursue film studies in New York City, one of the world’s most dynamic cultural capitals because of its long history of entrepreneurship and consumer-driven growth. The creative freedom he seeks exists precisely because the city tolerates experimentation, dissent, and failure — though recent political shifts may test that tolerance.

Jonathan’s artistic ambitions, in fact, are enabled by capitalism. Creative industries thrive where property rights are secure and exchange is voluntary. The freedom to make an “anti-capitalist” film is itself a market luxury — possible because capitalism does not demand ideological conformity. Markets are social institutions, coordinating human plans without centralized command.

After seasons of interdimensional monsters and Cold War paranoia, Stranger Things ends by celebrating ordinary wins: better jobs, safer communities, chosen relationships, and the freedom to plan a life worth living. That makes Jonathan’s anti-capitalist declaration all the more puzzling. The true villains of Stranger Things are not found in market-based systems, but in systems of enforced coercion, stagnation, and the denial of choice. In reminding us how precious freedom is, the series inadvertently reveals an uncomfortable truth: capitalism is not the obstacle to the lives its characters imagine — it is the condition that makes those lives possible.

The Congressional Budget Office just released its newest budget outlook. It isn’t pretty. The 2026 deficit is projected to hit $1.9 trillion and grow to $3.1 trillion in 2036. America’s slow-moving debt crisis shows no signs of waning.

But this isn’t solely a fiscal problem. It also has an unappreciated monetary dimension. If we’ve learned anything from the inflation surge of 2021–22, it’s that the boundary between fiscal and monetary policy can dissolve much faster than many economists once assumed. We had better come to terms with this quickly, or else money mischief and fiscal folly will become our new normal.

For years, concerns about “fiscal dominance” were largely theoretical possibilities discussed in graduate seminars. Things have changed. The pandemic response showed how fast large deficits and central bank balance sheets can become intertwined. Inflation is the most obvious consequence, but by no means the only one — nor perhaps even the most severe.

In normal times, monetary policy and fiscal policy are institutionally separate. Congress and the White House decide how much to tax and spend. The Federal Reserve controls the money supply and targets interest rates to stabilize prices and employment. The Fed is said to be “independent” because it can tighten policy even if doing so makes government borrowing more expensive. In truth, the Fed is not independent from political oversight. But this basic story is still a reasonable approximation of day-to-day operations.

Fiscal dominance flips that relationship. It occurs when large government deficits and debt burdens effectively constrain the central bank’s choices. Instead of focusing on price stability, the central bank must consider the government’s financing needs. Major monetary tightening might restore price stability, but it also drives up debt-service costs. If deficits are large enough and persistent enough, monetary policy becomes collateral damage.

We recently watched this happen in real time. In 2020 and 2021, Congress enacted extraordinary pandemic relief packages totaling trillions of dollars. Deficits reached levels not seen outside of world wars. At the same time, the Federal Reserve expanded its balance sheet dramatically, purchasing massive quantities of Treasury securities. The central bank defended these actions as necessary to stabilize financial markets. But the effect was unmistakable: deficits were effectively monetized.

To “monetize” a deficit means the central bank creates reserves to buy government debt, increasing the monetary base. When that expansion is large and persistent, it can spill into broader money growth, and hence aggregate demand. The result, combined with supply constraints and stimulus checks, was predictable: inflation climbed to 9 percent by mid–2022, the highest in four decades.

Yes, supply chains were tangled. Yes, transportation and energy prices spiked. But inflation of that magnitude required excess demand. And excess demand requires excess money and credit. The main culprit was the central bank’s financing of massive government spending.

The Fed ultimately reversed course, raising its interest rate target aggressively in 2022 and 2023. Inflation came down, but the damage was done. Fiscal matters have deteriorated even further since then.

Federal debt held by the public is near 100 percent of GDP. Annual deficits are projected to remain elevated for the foreseeable future, driven not by temporary emergencies but by structural imbalances: entitlement spending, demographic pressures, and insufficient revenues. With the low interest rates of the 2010s behind us for the foreseeable future, interest payments on the debt are becoming one of the fastest-growing components of federal spending.

That matters immensely for monetary policy. When rates rise, the Treasury must refinance maturing debt at higher yields. Higher yields mean higher annual interest costs. Higher interest costs mean larger deficits — which require more borrowing. The problem compounds.

In this unstable environment, the temptation to lean on the central bank becomes nearly irresistible. Political leaders may not explicitly demand monetization. But they don’t have to. Central bankers feel the pressure implicitly. When debt levels are high, tight monetary policy becomes fiscally painful.

Fiscal dominance subjugates monetary policy to political, and often partisan, needs. If markets begin to suspect that the Fed will ultimately accommodate deficits to avoid fiscal strain, inflation expectations can drift upward. Investors demand higher risk premia. The cost of stabilizing prices rises further.

The United States is by no means doomed. It has great productive capacity, deep capital markets, and global reserve-currency status. But those safeguards are not foolproof. At most, they are well-built storm walls — but the waves can topple them if they’re big enough.

Thanks not merely to an excessive pandemic response but also to decades of profligacy, the barrier between fiscal demands and monetary accommodation is getting very thin. Crossing it will create major economic pain. Once inflation takes hold, restoring credibility is expensive. And subjugating financial markets to government spending ambitions will destroy large amounts of wealth by diverting capital from productive to unproductive projects.

Sound money ultimately requires sound public finances. A central bank cannot permanently offset fiscal excess without courting inflation and facilitating economy-wide allocation problems. Nor can it remain focused on price stability if tightening policy threatens fiscal sustainability.

Only Congress can fix this. There’s no option besides spending less. If that sounds ominous, it should. The legislature has shown no appetite for any kind of fiscal reform. Yet any portfolio of policies to solve the problem must include it. So long as elected officials continue to treat the public purse with contempt, price stability and economic efficiency are at risk.

Introduction

Central planning — the idea that an economy can be rationally directed from the top down — has long appealed to reformers who seek to eliminate waste, inequality, and uncertainty. Its critics, however, have argued that no government can gather and process the vast, ever-changing information that markets generate spontaneously.

Among the most forceful opponents of central planning were two economists of the Austrian School: Ludwig von Mises and Friedrich A. Hayek. Though allies, they approached the problem from distinct, complementary angles. Mises argued that without private property and market prices, rational economic calculation is impossible. Hayek deepened the critique, showing that knowledge itself is dispersed and can only be coordinated through the market process.

This explainer examines their reasoning — where it overlaps, where it differs, and why the two scholars’ combined insights still matter in an age of big data and artificial intelligence.

The Rise and Appeal of Central Planning

The twentieth century saw governments attempt to replace broad market coordination with narrow, centralized direction. The idea gained traction amid the upheavals of the First World War and the Great Depression, when planned production seemed to promise stability and fairness. Lenin’s central planning administration Gosplan in the Soviet Union and later socialist models in Eastern Europe embodied the dream of a rationally ordered economy.

The same faith influenced Western intellectuals. If engineers could build bridges and factories, why couldn’t economists and bureaucrats design entire economies? To Mises and Hayek, this was a category error: the economy is not a machine, but a living network of human action and knowledge.

Mises and the Calculation Problem

In his 1920 essay “Economic Calculation in the Socialist Commonwealth,” Ludwig von Mises made a devastating claim: socialism is not merely inefficient — it is impossible.

Under socialism, the state owns all means of production. Because ownership is unified, there can be no buying and selling of capital goods, and therefore no market prices for them. Without prices, planners cannot determine whether resources are being used efficiently.

For example, should a new railway line run through the mountains or around them? The choice involves trade-offs — between labor, steel, and land — and only market prices can reveal them. In a socialist economy, there is no way to compare the economic cost of one option versus another. Without the guidance of market prices, planners “grope in the dark,” the Austrian economist wrote.

Mises’s point was not moral but logical: rational economic calculation requires private property, voluntary exchange, and monetary prices. Without them, the coordinating mechanism of the economy collapses.

Hayek and the Knowledge Problem

Two decades later, Friedrich Hayek expanded Mises’s critique. Writing in the 1930s and 1940s, Hayek argued that even if a central authority somehow possessed all available data and perfect computational power, it still could not plan effectively.

In his classic 1945 essay “The Use of Knowledge in Society,” Hayek explained that the crucial information needed to allocate resources efficiently is dispersed, tacit, and constantly changing. It exists not in databases but in the minds and experiences of millions of individuals — shopkeepers, consumers, engineers, and entrepreneurs — each responding to local conditions. 

Prices, in Hayek’s view, are signals that communicate this information. When the price of tin rises, consumers cut back, producers seek substitutes, and entrepreneurs search for new supplies — all without knowing (nor needing to know) why the price changed. This decentralized process coordinates countless decisions that no planner could ever collect or comprehend.

Where Mises showed that calculation was impossible without prices, Hayek explained why only free markets can generate those prices meaningfully: they embody real-time knowledge that no central authority can aggregate.

The Socialist Response and the Debate That Followed

The Mises–Hayek critique ignited what became known as the Socialist Calculation Debate. Economists such as Oskar Lange and Abba Lerner responded that planning boards could simulate markets by setting prices, monitoring shortages and surpluses, and adjusting accordingly.

To Mises and Hayek, this response misunderstood the essence of markets. Market prices are not arbitrary numbers to be guessed at by bureaucrats; they are the outcome of entrepreneurial discovery — a competitive process that tests profit and loss, risk and innovation.

Lange’s “trial and error” planning was, in Hayek’s eyes, a static imitation of a dynamic reality. Real markets continuously generate and revise knowledge through competition. Bureaucratic simulation lacks the incentives, ownership, and feedback that make this possible.

Where Their Theories Differ

Although united in their opposition to central planning, Mises and Hayek approached the problem from distinct perspectives:

DimensionMisesHayek
Core ProblemEconomic calculation is impossible without market prices.Relevant knowledge is dispersed and cannot be centralized.
FocusThe logical and institutional preconditions of rational choice.The epistemological and communicative limits of centralized control.
MethodDeductive reasoning (praxeology).Empirical and evolutionary reasoning about complex systems.
EmphasisProperty and prices as necessary for calculation.Competition and communication as necessary for coordination.

Mises showed why central planning cannot compute rationally; Hayek showed why it cannot know what to compute in the first place. Their insights are not substitutes, but layers of the same diagnosis.

How Their Ideas Complement Each Other

Mises and Hayek’s views form a single, coherent understanding of market order.

  • Mises explains why the planner lacks a common ratio of exchange: without property rights and market prices, there is no basis beyond arbitrariness for allocative decisions.
  • Hayek explains why the planner lacks the information to generate those prices in the first place: they are under constant revision by market actors with narrow, special knowledge.

The two arguments converge on the same conclusion: coordination in a complex society must arise from voluntary, decentralized interaction — not central command. The market is not an arbitrary human invention but the only known system capable of processing vast, scattered, ever-changing information.

Real-World Evidence: Planning in Practice

The twentieth century tested these theories at tragic scales, and at unimaginable human cost. Socialist economies like the Soviet Union attempted to coordinate production through massive bureaucracies such as Gosplan. The results confirmed Mises and Hayek’s warnings:

  • Chronic shortages of consumer goods
  • Surpluses of useless output (too many size-12 shoes, pants no one wanted)
  • Distorted incentives to meet quotas rather than serve needs
  • Falsified data to satisfy political superiors.

Each plan cycle created new misallocations, because planners could not adapt fast enough to shifting realities. As Hayek might have predicted, information traveled too slowly and too dishonestly in a system where truth was punished and incentives were skewed by politics.

China’s gradual reforms after 1978 — reintroducing private enterprise and market pricing to a tightly controlled state economy — marked an implicit concession: to make socialism “work,” planners had to scale back central planning.

The Soviet Collapse: A Tale of Two Explanations

When the Soviet Union dissolved in 1991, it was not only a political implosion but also an economic one — the largest centrally planned system in history collapsing under the weight of its own contradictions. For both Ludwig von Mises and Friedrich Hayek, the Soviet collapse would have appeared less as a surprise than as the inevitable outcome of systemic design flaws they had warned about decades earlier. Yet each would have interpreted the downfall in a subtly different way.

To Mises, the Soviet failure confirmed the calculation problem. Without private property and genuine market exchange, the administrators at Gosplan had no way to measure economic efficiency. The prices they used were arbitrary, disconnected from real scarcities or consumer wants. Their statistics could record physical quantities — tons of steel, miles of rail, bushels of wheat — but not value. Over time, the entire system became an elaborate façade: apparent order concealing mounting disorder. Factories met quotas by producing useless goods, local managers falsified reports, and the central plans themselves became exercises in make-believe and misinformation. For Mises, this was not accidental mismanagement. It was the unavoidable result of an economy that had abolished the very instrument of rational calculation — the price system.

To Hayek, the same collapse demonstrated the knowledge problem. Even if Soviet planners had access to accurate data, the knowledge required to allocate resources efficiently never existed in any central repository. It resided in the dispersed minds of millions of individuals — consumers, workers, and entrepreneurs — whose preferences and innovations could never be fully communicated through bureaucratic channels. The Soviet system’s rigidity was thus a cognitive failure: it could not adapt to change, learn from errors, or evolve through decentralized experimentation. The plan could issue orders, but it could not generate discovery. Hayek might have said that the Soviet economy did not so much break down as fail to learn.

In this sense, Mises and Hayek offered complementary autopsies of the same tragedy. Mises explained why rational allocation was impossible without prices; Hayek explained why no planner could ever know enough to set those prices meaningfully. The first diagnosis is institutional — a system without markets cannot calculate. The second is epistemological — even with data, central authority cannot know. The failure of Soviet socialism thus confirmed both men’s warnings: a planned economy can suppress error only by suppressing truth.

Lessons for the Digital Age

In the twenty-first century, some argue that big data, artificial intelligence, and high-speed computation have revived the dream of central planning. After all, if machines can process trillions of data points, why can’t they optimize production and distribution better than messy markets?

This view repeats the same fallacy that Mises and Hayek identified. The knowledge required for coordination is not static data but living information: changing preferences, unforeseen innovations, and subjective judgments of value. Machines can crunch numbers, but they cannot determine what those numbers mean in human terms.

Moreover, without property rights, competition, and entrepreneurial experimentation, there is no mechanism to reveal or validate the information that planners would feed into their algorithms. “Smart” central planning is still central planning, and still doomed — only with faster calculators.

Broader Philosophical Implications

Beneath their economics lay a shared defense of human freedom and humility.

  • For Mises, the market system reflects the logic of human action: individuals using scarce means to achieve chosen ends. Coercive planning replaces choice with obedience.
  • For Hayek, markets represent a spontaneous order: a social evolution shaped by countless interactions, not by deliberate design. Planning reflects what he called the “fatal conceit” — the illusion that reason can master the complexity of civilization.

Both saw freedom not merely as a right but as a practical necessity. Only through liberty can society continually learn, correct errors, and adapt to change.

Common Criticisms of Mises and Hayek

“They opposed all government.”
Both men recognized legitimate state functions — enforcing contracts, protecting property, and maintaining the rule of law. Their critique targeted economic control, not the legal framework of a free society.

“Computers can solve the problems they described.”
Computation cannot replace judgment. Prices emerge from voluntary exchange, not mathematical optimization. No computer can reproduce the creative discovery process of entrepreneurs in real time.

“They ignored inequality or social justice.”
Both understood that outcomes in free markets are unequal, but they argued that coercive equalization destroys the process that generates wealth. For Hayek, justice lies in fair rules, not guaranteed results.

“Their ideas are outdated.”
On the contrary, their insights explain modern failures of technocratic overreach — from failed industrial policies to rigid pandemic controls — all rooted in the same hubris that knowledge can be centrally mastered.

The Enduring Legacy

Mises and Hayek’s arguments reshaped modern economics, influencing fields from information theory to institutional design. Their insights inspired later thinkers — such as Israel Kirzner’s work on entrepreneurship and Elinor Ostrom’s studies of decentralized governance — that continue to illuminate how cooperation emerges without command.

The core message is timeless: the complexity of human society cannot be engineered from above. Markets, far from being chaotic, are the most sophisticated information system ever developed. They allow billions of people, all of whom hold dispersed and limited and sometimes highly specialized knowledge, to achieve coordinated prosperity through voluntary exchange.

Market Prices Are the Only Viable Coordinator

Central planning promises order but delivers confusion. Its failure is not a moral accident or a temporary flaw but a structural impossibility.

Mises showed that without market prices, planners cannot perform rational calculation. Hayek showed that without dispersed knowledge, they cannot know what to calculate.

Together, they demonstrated that freedom is not only ethically superior but economically indispensable. The market, for all its imperfections, remains the only mechanism capable of processing humanity’s infinite complexity.

Their warning endures today. Economic prosperity, and indeed civilization itself, depend less on what we can design than on what we can discover. And that discovery happens best via market prices as opposed to authoritarian directorates.

Immigration and Customs Enforcement (ICE) is pushing a new home-entry rule, one Americans might have thought they left behind in the old world. A whistleblower recently exposed an internal memo from ICE’s acting director, claiming that once an immigration judge — an employee of the executive branch — signs a final order of removal for someone, ICE agents may use that order (and their own administrative paperwork) to legally enter private homes to effect an arrest — all without ever asking an independent judge for a warrant.

The Fourth Amendment was written for this exact moment. One of the major causes of the American Revolution was the practice of British officers using similar executive-authorized papers to enter colonists’ private homes. When the Framers enacted the Bill of Rights, they drew a bright line at the front door of the home — and said government may not sign its own paperwork to enter. In a free society, you can shut your door, and the state cannot force it open on its own say-so.

Crucially, this holds true no matter why the state wants to come in. The Supreme Court has never blessed letting an agency-issued immigration form substitute for an independent judge’s warrant to enter an occupied home. That is why the most important word in this debate is also the most misleading one: “warrant.” 

Warrants Require Independent Judgment and Probable Cause 

A valid search warrant isn’t just a piece of paper with an official seal. It’s an authorization saying there is probable cause for the government to act. Probable cause is not certainty, but it is not a hunch; it is a set of specific facts that would lead a reasonable person to believe government agents will find the person they seek, or evidence of a particular crime, in the place they want to enter. 

The Supreme Court has long held that the Fourth Amendment’s “protection consists in requiring” that the person deciding whether such probable cause exists be a “neutral and detached magistrate,” rather than an “officer engaged in the often competitive enterprise” of law enforcement. So the person deciding whether the government may intrude cannot be the same person — or on the same team — as the person seeking the warrant. The Court drove that point home in Coolidge v. New Hampshire, where it invalidated a warrant issued by the state attorney general, who clearly was not neutral as to investigations his office was conducting.

The Fourth Amendment demands neutrality precisely because the risk of error is so predictable and commonplace. For example, in Martin v. United States, an FBI SWAT team forced their way into an innocent family’s home and pulled a gun on their seven-year-old son before realizing they were in the wrong place. Other examples (unfortunately) abound, since officers can have the right person in mind but the wrong location, or have the right location but the wrong idea about who lives there. By requiring a neutral judge sign off on a search warrant — in advance — the Fourth Amendment acts to keep officers from turning a guess into a home invasion. 

Administrative search warrants provide none of this security. They are issued by officials in the very agency seeking to conduct the search or seizure, meaning the government agents are directly signing off on the integrity of their own work. And when that happens, there is great cause to fear that the agency will cut corners in a way they could not if probable cause must be found by an independent judge. 

In City of Ontario v. Quon, the Court stressed that the Fourth Amendment applies “without regard to whether the government actor is investigating crime or performing another function.”

Administrative “Warrants” Exist In Immigration, But They Are Not Fourth Amendment Warrants

Removal is generally a civil process, and agencies have long used administrative warrants to arrest immigrants for removal proceedings. DHS claims these warrants are “recognized by the Supreme Court,” implying that immigration enforcement somehow runs on a different constitutional track. But that is not so: In City of Ontario v. Quon, the Court stressed that the Fourth Amendment applies “without regard to whether the government actor is investigating crime or performing another function.”

So a “civil” process cannot mean “Constitution-lite” at the front door. If the Constitution enacts strict limits before officers enter a home in the criminal law enforcement context, then the same must be true when the government is pursuing civil immigration enforcement.

Yet that is the leap ICE (and its defenders) ask the public to accept. That they can take an agency form that authorizes them to detain an immigrant and treat it like a judge-issued warrant to justify entering a residence without consent. In support, they often cite the 1960 Supreme Court decision Abel v. United States, but in that case, agents did not use an administrative warrant as a constitutional key to an occupied home. 

Yes, Abel involved an administrative deportation warrant. But that’s where the similarities end. Abel was arrested in a hotel room, and the later, warrantless search at issue occurred — with hotel management’s consent — after he checked out, vacated the room, and paid his bill, with agents collecting items Abel had left behind. The Court upheld that later search as reasonable because the hotel had regained control of the room and Abel had abandoned the property seized. 

Therefore, Abel stands for a narrower proposition: administrative warrants may support certain civil immigration arrests and incidental searches of abandoned-property facts in a relinquished hotel room. It does not stand for ICE’s sweeping claim that an executive agency may issue its own “warrant” and then use it to cross a home’s threshold. 

The Fourth Amendment Protects Our Homes Against Unreasonable Government Intrusion 

The Supreme Court’s modern home-entry rule comes from the landmark 1980 case Payton v. New York. There, the Court held that police generally may not make a warrantless, nonconsensual entry into a suspect’s home to effect a routine felony arrest. The Court emphasized that the “physical entry of the home” is the “chief evil” the Fourth Amendment targets. Although the Court held that law enforcement officers may enter a suspect’s own home with an arrest warrant to make an arrest, they must have reason to believe he is inside.

So, Payton says that where police have a judicial arrest warrant, they need not have a separate search warrant before entering the suspect’s own home. But ICE administrative warrants are not judicial warrants. They do not issue from a “neutral and detached magistrate.” They simply are not the kind of warrant Payton said would authorize entry. 

And even when officers have that kind of judge-issued warrant, it still will not authorize them to enter a third party’s home to look for that suspect. In Steagald v. United States, the Supreme Court held that — absent consent or exigent circumstances — law enforcement must first obtain a search warrant before entering a third party’s residence to arrest the person named in the arrest warrant. Although an arrest warrant authorizes the government to seize a person, it alone does not justify invading the third-party homeowner’s security. Instead, the government must persuade a neutral and detached magistrate that they have probable cause to search the third party’s home for the suspect. 

ICE’s tactic is to lean on criminal-law doctrines while stripping out the criminal-law safeguards. It borrows Payton’s language about “arrest warrants” to suggest that an immigration warrant can function the same way. But as Steagald shows, even a judicial arrest warrant is not enough to enter a third party’s home. An ICE administrative “warrant” is weaker still. Because it issues from inside the executive branch rather than from a neutral magistrate, it cannot credibly be treated as a constitutional substitute for entering a dwelling. 

That is why Institute for Justice attorney Patrick Jaicomo has described these documents as “not a warrant at all,” but “a warrant-shaped object.” With them, the government uses the term “arrest warrant” to enter homes, knowing that most people will be intimidated and are likely to comply. All while it avoids the constitutional friction that makes a real warrant meaningful. 

Nonetheless, Speaker Mike Johnson defended the practice, claiming that requiring judicial warrants would add another “layer” and make enforcement harder. Speaker Johnson is right: the Fourth Amendment exists to slow the government down at the very moment it feels most certain. It exists because officials have always been tempted by shortcuts, and history has shown that the most dangerous shortcut is a general-warrant mindset that lets agents be a law unto themselves by searching first and justifying later (if ever). 

A free society depends on feeling secure that the government won’t break down your door without good cause and independent permission. So the real choice is not “enforce the law” versus “follow the Constitution” — after all, immigration enforcement for decades has operated consistent with the Fourth Amendment. It is whether we let the executive escape the Fourth Amendment by redefining a “warrant” into a self-issued permission slip. To do so would be to erode one of the most fundamental rights in a free society: the right to be secure in your home from arbitrary government intrusion.

President John F. Kennedy once said, “We must find ways of returning far more of our dependent people to independence.” President Lyndon B. Johnson sought to meet that challenge by launching the War on Poverty in 1964, insisting that its purpose was not to make people “dependent on the generosity of others,” nor merely to “relieve the symptom of poverty,” but to “cure it and, above all, to prevent it.”

Sixty years and some $20 trillion in welfare spending later, that message appears to have gotten lost. Rather than helping the poor climb out of poverty toward self-reliance, government handouts have instead pulled the ladder away by supplanting work as their primary source of income. 

According to January’s Congressional Budget Office (CBO) report, average total income for the poorest households nearly doubled from 1979 to 2022. But most of that increase was fueled by government wealth transfers.

Cumulative Growth of Income Among Households in the Lowest Quintile of the Income Distribution, by Type of Income

Congressional Budget Office, using data from the Census Bureau. In 2021 dollars. Shaded areas show recessions. 

If the success of America’s social safety net is measured by how much cash the government can dole out, then it’s a testament to the scale and generosity of the welfare state. But that was never the yardstick the architects of the welfare state themselves used when selling their War on Poverty to the public. Welfare was intended to be a means toward self-sufficiency and independence through work.

Viewed through that lens, the CBO report paints a far more troubling picture: Low-income Americans are receiving an ever-growing share of their financial resources from government transfers instead of work.

In 1979, households in the lowest income quintile earned, on average, about 53 percent of their total income from money income — wages, salaries, business income, and other earnings from private-sector work. Means-tested transfers — government cash and in-kind benefits targeted to low-income households — made up just 26 percent.

Since then, the numbers have gone in completely opposite directions. During the pandemic, income from work plummeted to an all-time low of just 33 percent, while means-tested transfers skyrocketed to 57 percent.  

Even after temporary COVID-era benefits expired, about 42 percent of the income of America’s poorest households comes from their own earnings. Government transfers also sit at 42 percent, matching earnings from work dollar-for-dollar.

The means-tested transfer rate — that is, the value of welfare benefits relative to income before government assistance and taxes — tells the same story. In 1979, it stood at 32 percent. By 2022, this figure had more than doubled to 72 percent. In other words, for every dollar a low-income household earned (after counting social insurance like Social Security and Medicare), 72 cents were in welfare benefits. During the pandemic, this reached a staggering 93 percent.

The report’s findings are indicative of a trend that is all too common in America’s “social safety net.” Rather than enabling the poor to rely on their own earnings, welfare traps people in government dependency.

Real federal welfare spending has soared 765 percent, and now, despite unprecedented economic gains for low-income Americans, more of them are dependent on government assistance than at any point in the country’s history. That’s hardly an outcome taxpayers  should be proud of in a country that styles itself as the land of opportunity. Indeed, if welfare’s purpose is to provide transitional support, then persistently high caseloads should signal that government assistance has become a destination, not a bridge.

CBO via USGovernmentSpending.com. Chart by FederalSafetyNet.com

If the federal government is going to be in the business of wealth redistribution at all, taxpayers are entitled to demand that it cultivate a culture of work, as then-senator Joe Biden said before the 1996 welfare reforms. But if taxpayers have been pouring trillions of dollars into a money pit that has failed to achieve its own stated goals for over 60 years, it’s time for a serious reckoning.

It is neither efficient nor compassionate for the government to create a perpetual underclass of citizens trapped in a cycle of dependency at the taxpayers’ expense. No amount of political or moral grandstanding can ever justify this state of affairs.

As Congress floats the idea of a second reconciliation bill going into 2026 amid the One Big Beautiful Bill Act (OBBBA)’s historic welfare reforms, it would do well to remember that a paying job will always be the best anti-poverty program.

The CBO’s report should be a warning. If the goal is independence, welfare policy must be judged by whether it increases work and reduces reliance on government aid. But if the welfare state has become the narcotic President Franklin ‘New Deal’ Roosevelt himself warned against, then Congress should follow his prescription: “The federal government must and shall quit this business of relief.”