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Fresh estimates from the Congressional Budget Office this month said the U.S. labor force in 2023 had grown by 5.2 million people, thanks especially to net immigration

The sudden snapback in demand sent inflation soaring. Supply chain issues were a main reason prices rose quickly. But labor shortages posed a problem, too, and economists feared that rising wages — as employers scrambled to find workers — would keep price increases dangerously high.

he flow of migrants to the United States started slowing during the Trump administration, when officials took hundreds of executive actions designed to restrict migration.

Right before the pandemic, there were about 1.5 million fewer working-age immigrants in the United States than pre-2017 trends would have predicted, according to the San Francisco Fed. By the end of 2021, that shortfall had widened to about 2 million

But the economy overall wound up rebounding aggressively from the sudden, widespread closures of 2020, bolstered by historic government stimulus and vaccines that debuted faster than expected.

economy grow. But today’s snapshot still represents a stark turnaround from just a short time ago.

That’s because the labor force that emerged as the pandemic ebbed was smaller than it had been: Millions of people retired early, stayed home to take over child care or avoid getting sick, or decided to look for new jobs entirely

In the span of a year or so, employers went from having businesses crater to sprinting to hire enough staff to keep restaurants, hotels, retail stores and construction sites going. Wages for the lowest earners rose at the fastest pace.

About the same time, the path was widening for migrants to cross the southern border, particularly as the new Biden administration rolled back Trump-era restrictions.

Experts argue that the strength of the U.S. economy has benefited American workers and foreign-born workers alike. Each group accounts for roughly half of the labor market’s impressive year-over-year growth since January 2023

But the past few years were extremely abnormal because companies were desperate to hire.

lus, it would be exceedingly difficult for immigration to affect the wages of enormous swaths of the labor force,

“What it can do is lower the wages of a specific occupation in a specific area, but American workers aren’t stupid. They change jobs. They change what they specialize in,” Nowrasteh said. “So that’s part of the reason why wages don’t go down.”

In normal economic times, some analysts note, new immigrants can drag down wages, especially if employers decide to hire them over native-born workers. Undocumented workers, who don’t have as much leverage to push for higher pay, could lower average wages even more.

Particularly for immigrants fleeing poorer countries, the booming U.S. job market and the promise of higher wages continue to be an enormous draw.

“More than any immigration policy per se, the biggest pull for migrants is the strength of the labor market,” said Catalina Amuedo-Dorantes, an economics professor at the University of California at Merced. “More than any enforcement policy, any immigration policy, at the end of the day.”

Upon arriving in Denver in October, Santander hadn’t acquired a work permit but needed to feed his small children. Even without authorization, he found a job as a roofer for a contractor that ultimately pocketed his earnings, then one cleaning industrial refrigerators on the overnight shift for $12 an hour. Since receiving his work permit in January, Santander has started “a much better job” at a wood accessories manufacturer making $20 an hour.

But for the vast majority of migrants who arrive in the United States without prior approval, including asylum seekers and those who come for economic reasons, getting a work permit isn’t easy.

Federal law requires migrants to wait nearly six months to receive a work permit after filing for asylum. Wait times can stretch for additional months because of a backlog in cases.

While they wait, many migrants find off-the-books work as day laborers or street vendors, advocates say. Others get jobs using falsified documents, including many teenagers who came into the country as unaccompanied minors.

Still, many migrants miss the year-long window to apply for asylum — a process that can cost thousands of dollars — leaving them with few pathways to work authorization, advocates say. Those who can’t apply for asylum often end up working without official permission in low-wage industries where they are susceptible to exploitation.

“devastating” because the hardship of rural Americans is real, “terrifying” because the political backlash to this hardship poses a clear and present danger to our democracy, and “baffling” because at some level I still don’t get the politics.

Technology is the main driver of rural decline, Schaller and Waldman argue. Indeed, American farms produce more than five times as much as they did 75 years ago, but the agricultural work force declined by about two-thirds over the same period, thanks to machinery, improved seeds, fertilizers and pesticides

Coal production has been falling recently, but thanks partly to technologies like mountaintop removal, coal mining as a way of life largely disappeared long ago, with the number of miners falling 80 percent even as production roughly doubled.

The decline of small-town manufacturing is a more complicated story, and imports play a role, but it’s also mainly about technological change that favors metropolitan areas with large numbers of highly educated workers.

Technology, then, has made America as a whole richer, but it has reduced economic opportunities in rural areas. So why don’t rural workers go where the jobs are? Some have

But some cities have become unaffordable, in part because of restrictive zoning — one thing blue states get wrong — while many workers are also reluctant to leave their families and communities.

So shouldn’t we aid these communities? We do. Federal programs — Social Security, Medicare, Medicaid and more — are available to all Americans, but are disproportionately financed from taxes paid by affluent urban areas. As a result there are huge de facto transfers of money from rich, urban states like New Jersey to poor, relatively rural states like West Virginia.

While these transfers somewhat mitigate the hardship facing rural America, they don’t restore the sense of dignity that has been lost along with rural jobs.

And maybe that loss of dignity explains both white rural rage and why that rage is so misdirected — why it’s pretty clear that this November a majority of rural white Americans will again vote against Joe Biden, who as president has been trying to bring jobs to their communities, and for Donald Trump, a huckster from Queens who offers little other than validation for their resentment.

This feeling of a loss of dignity may be worsened because some rural Americans have long seen themselves as more industrious, more patriotic and maybe even morally superior to the denizens of big cities — an attitude still expressed in cultural artifacts like Jason Al

In the crudest sense, rural and small-town America is supposed to be filled with hard-working people who adhere to traditional values, not like those degenerate urbanites on welfare, but the economic and social reality doesn’t match this self-image.

Prime working-age men outside metropolitan areas are substantially less likely than their metropolitan counterparts to be employed — not because they’re lazy, but because the jobs just aren’t there.

Quite a few rural states also have high rates of homicide, suicide and births to single mothers — again, not because rural Americans are bad people, but because social disorder is, as the sociologist William Julius Wilson argued long ago about urban problems, what happens when work disappears.

Draw attention to some of these realities and you’ll be accused of being a snooty urban elitist

The result — which at some level I still find hard to understand — is that many white rural voters support politicians who tell them lies they want to hear. It helps explain why the MAGA narrative casts relatively safe cities like New York as crime-ridden hellscapes while rural America is the victim not of technology but of illegal immigrants, wokeness and the deep state.

while white rural rage is arguably the single greatest threat facing American democracy, I have no good ideas about how to fight it.

he trickiest question may be how to prevent abuse. AI generators have technological boundaries, but not morals, and it’s relatively easy for users to trick them into creating content that depicts violence, rape, sex with children or a celebrity — or even a crush from work who never consented to appear

In some cases, the engines themselves are trained on porn images whose subjects didn’t explicitly agree to the new use. Currently, no federal laws protect the victims of nonconsensual deepfakes.

Adult entertainment is a giant industry accounting for a substantial chunk of all internet traffic: Major porn sites get more monthly visitors and page views than Amazon, Netflix, TikTok or Zoom

The industry is a habitual early adopter of new technology, from VHS to DVD to dot com. In the mid-2000s, porn companies set up massive sites where users upload and watch free videos, and ad sales foot the bills.

At last year’s AVN conference, Steven Jones said his peers looked at him “like he was crazy” when he talked about AI opportunities: “Nobody was interested.” This year, Jones said, he’s been “the belle of the ball.”

He called up his old business partner, and the two immediately spent about $550,000 securing the web domains for porn dot ai, deepfake dot com and deepfakes dot com, Jones said. “Lightspeed” was back.

One major model, Stable Diffusion, shares its code publicly, and some technologists have figured out how to edit the code to allow for sexual images

What keeps Jones up at night is people trying to use his company’s tools to generate images of abuse, he said. The models have some technological guardrails that make it difficult for users to render children, celebrities or acts of violence. But people are constantly looking for workarounds.

So with help from an angel investor he will not name, Jones hired five employees and a handful of offshore contractors and started building an image engine trained on bundles of freely available pornographic images, as well as thousands of nude photos from Jones’s own collection

Users create what Jones calls a “dream girl,” prompting the AI with descriptions of the character’s appearance, pose and setting. The nudes don’t portray real people, he said. Rather, the goal is to re-create a fantasy from the user’s imagination.

The AI-generated images got better, their computerized sheen growing steadily less noticeable. Jones grew his user base to 500,000 people, many of whom pay to generate more images than the five per day allotted to free accounts, he said. The site’s “power users” generate AI porn for 10 hours a day, he said.

Jones described the site as an “artists’ community” where people can explore their sexualities and fantasies in a safe space. Unlike some corners of the traditional adult industry, no performers are being pressured, underpaid or placed in harm’s way

And critically, consumers don’t have to wait for their favorite OnlyFans performer to come online or trawl through Pornhub to find the content they like.

Next comes AI-generated video — “porn’s holy grail,” Jones said. Eventually, he sees the technology becoming interactive, with users giving instructions to lifelike automated “performers.” Within two years, he said, there will be “fully AI cam girls,” a reference to creators who make solo sex content.

It costs $12 per day to rent a server from Amazon Web Services, he said, and generating a single picture requires users to have access to a corresponding server. His users have so far generated more than 1.6 million images.

Copyright holders including newspapers, photographers and artists have filed a slew of lawsuits against AI companies, claiming the companies trained their models on copyrighted content. If plaintiffs win, it could cut off the free-for-all that benefits entrepreneurs such as Jones.

But Jones’s plan to create consumer-friendly AI porn engines faced significant obstacles. The companies behind major image-generation models used technical boundaries to block “not safe for work” content and, without racy images to learn from, the models weren’t good at re-creating nude bodies or scenes.

Jones said his team takes down images that other users flag as abusive. Their list of blocked prompts currently contains 1,000 terms including “high school.”

“I see certain things people type in, and I just hope to God they’re trying to test the model, like we are. I hope they don’t actually want to see the things they’re typing in.

Peter Acworth, the owner of kink dot com, is trying to teach an AI porn generator to understand even subtler concepts, such as the difference between torture and consensual sexual bondage. For decades Acworth has pushed for spaces — in the real world and online — for consenting adults to explore nonconventional sexual interests. In 2006, he bought the San Francisco Armory, a castle-like building in the city’s Mission neighborhood, and turned it into a studio where his company filmed fetish porn until shuttering in 2017.

Now, Acworth is working with engineers to train an image-generation model on pictures of BDSM, an acronym for bondage and discipline, dominance and submission, sadism and masochism.

Others alluded to a porn apocalypse, with AI wiping out existing models of adult entertainment.“Look around,” said Christian Burke, head of engineering at the adult-industry payment app Melon, gesturing at performers huddled, laughing and hugging across the show floor. “This could look entirely different in a few years.”

But the age of AI brings few guarantees for the people, largely women, who appear in porn. Many have signed broad contracts granting companies the rights to reproduce their likeness in any medium for the rest of time

Not only could performers lose income, Walters said, they could find themselves in offensive or abusive scenes they never consented to.

Lana Smalls, a 23-year-old performer whose videos have been viewed 20 million times on Pornhub, said she’s had colleagues show up to shoots with major studios only to be surprised by sweeping AI clauses in their contracts.

“This industry is too fragmented for collective bargaining,” Spiegler said. “Plus, this industry doesn’t like rules.”

“Politics, Democratic or Republican, were not particularly important,” said Tom Harman, a former Republican state senator who got his start on the city council in the 1990s. “People didn’t run on party preference. They ran on what they could do in the community and how they could make the city a better place to live.”

It had long been a destination for surfing, but officials in the ’90s began leaning into that reputation to court the tourism industry. Huntington Beach became “Surf City USA,” a moniker pulled from a chart-topping song.

Two high-profile acts of white-supremacist violence — the shooting of a Black man in 1994, and the stabbing of a Native American man two years later — prompted the city to crack down on the groups who had flocked from across Southern California.

City police stepped up patrols, the council passed a human dignity policy condemning hate crimes, and officials started a human relations commission to combat bigotry. Ken Inouye, the founding chair of that task force and a 51-year resident of Huntington Beach, said residents from across the city “came together because we knew we were better than that.”

Both efforts were reversed when the current Republican majority took over the council.

In recent decades, sweeping demographic change has pushed Orange County to the left. But those shifts have been more subtle in Huntington Beach, and the city has retained its rightward lean. Unlike the county’s other largest cities, most residents are White and Republicans still account for the plurality of Huntington Beach’s registered voters.

During Donald Trump’s presidency, residents bridled at California’s pandemic restrictions, much as Trump did. Fierce protests became common, with crowds clogging the pier and Pacific Coast Highway to shout down coronavirus precautions or cheer Trump. Some of the rallies were organized by white-supremacist groups and turned violent.

Another inflection point came in 2021, when former mixed martial arts fighter and hard-right council member Tito Ortiz resigned from his post and the remaining members appointed a Democrat, Rhonda Bolton, in his stead. The move infuriated city Republicans, who wanted Ortiz replaced with an ideological equal.

“The tone of political rhetoric has gotten coarser and sillier as time has worn on,” she said. “And Huntington Beach is a reflection of what’s happening nationally.”

Carol Daus, who has lived in the city nearly three decades, said the council’s focus on contentious cultural debates has divided the community, pitting neighbors against neighbors. One example of the acrimony: Protect HB has hung posters across the city urging a “No” vote on the March ballot measures, but some 40 of those signs were recently vandalized with large green “Yes” stickers.

“This city during the past several years, following the Trump administration and covid lockdown, was like a volcano ready to explode,” Daus said. “And now it has.”

“I feel duped,” said Sue Welfringer, a longtime Huntington Beach resident and registered Republican. She voted for the four-person conservative slate because she liked their stances on homelessness and limiting development, but mostly she appreciated that they got along with each other.

“I almost don’t even want to vote at all because I don’t want to make another terrible mistake I regret,” said Welfringer, who opposes the council’s stances on issues like LGBTQ rights and voter ID. “I feel like they had a hidden agenda. And now I’m also worried what else is on their hidden agenda. I’m afraid to know what big issue is next.”

“Ideally, it would be wonderful if we could just focus on the roads and infrastructure,” he said. “But I think we’re in a time now where there really isn’t any such thing as a nonpartisan local focus anymore.”

But this dynamic has turned city council meetings into routine spectacles, where public comment drags on for hours and speakers hurl invectives at the seven members sitting on the dais.

Butch Twining, a candidate for city council, is one of three conservatives looking to build on the Republican majority, campaigning as a slate to replace Bolton and the council’s other two liberal members in November. A victory would give conservatives a 7-0 vise grip on the council.

At some point they will be able to, for example, suggest recipes for novel cyberattacks or biological attacks—all based on publicly available knowledge.

But as models become more sophisticated, this approach may prove insufficient. Some models are beginning to exhibit polymathic behavior: They appear to know more than just what is in their training data and can link concepts across fields, languages, and geographies.

We need to adopt new approaches to AI safety that track the complexity and innovation speed of the core models themselves.

What’s much harder to test for is what’s known as “capability overhang”—meaning not just the model’s current knowledge, but the derived knowledge it could potentially generate on its own.

Red teams have so far shown some promise in predicting models’ capabilities, but upcoming technologies could break our current approach to safety in AI. For one, “recursive self-improvement” is a feature that allows AI systems to collect data and get feedback on their own and incorporate it to update their own parameters, thus enabling the models to train themselves

This could result in, say, an AI that can build complex system applications (e.g., a simple search engine or a new game) from scratch. But, the full scope of the potential new capabilities that could be enabled by recursive self-improvement is not known.

Another example would be “multi-agent systems,” where multiple independent AI systems are able to coordinate with each other to build something new.

This so-called “combinatorial innovation,” where systems are merged to build something new, will be a threat simply because the number of combinations will quickly exceed the capacity of human oversight.

Short of pulling the plug on the computers doing this work, it will likely be very difficult to monitor such technologies once these breakthroughs occur

Current regulatory approaches are based on individual model size and training effort, and are based on passing increasingly rigorous tests, but these techniques will break down as the systems become orders of magnitude more powerful and potentially elusive

AI regulatory approaches will need to evolve to identify and govern the new emergent capabilities and the scaling of those capabilities.

But the AI Act has already fallen behind the frontier of innovation, as open-source AI models—which are largely exempt from the legislation—expand in scope and number

Europe has so far attempted the most ambitious regulatory regime with its AI Act,

both Biden’s order and Europe’s AI Act lack intrinsic mechanisms to rapidly adapt to an AI landscape that will continue to change quickly and often.

a gathering in Palo Alto organized by the Rand Corp. and the Carnegie Endowment for International Peace, where key technical leaders in AI converged on an idea: The best way to solve these problems is to create a new set of testing companies that will be incentivized to out-innovate each other—in short, a robust economy of testing

To check the most powerful AI systems, their testers will also themselves have to be powerful AI systems, precisely trained and refined to excel at the single task of identifying safety concerns and problem areas in the world’s most advanced models.

To be trustworthy and yet agile, these testing companies should be checked and certified by government regulators but developed and funded in the private market, with possible support by philanthropy organizations

The field is moving too quickly and the stakes are too high for exclusive reliance on typical government processes and timeframes.

One way this can unfold is for government regulators to require AI models exceeding a certain level of capability to be evaluated by government-certified private testing companies (from startups to university labs to nonprofit research organizations), with model builders paying for this testing and certification so as to meet safety requirements.

As AI models proliferate, growing demand for testing would create a big enough market. Testing companies could specialize in certifying submitted models across different safety regimes, such as the ability to self-proliferate, create new bio or cyber weapons, or manipulate or deceive their human creators

Much ink has been spilled over presumed threats of AI. Advanced AI systems could end up misaligned with human values and interests, able to cause chaos and catastrophe either deliberately or (often) despite efforts to make them safe. And as they advance, the threats we face today will only expand as new systems learn to self-improve, collaborate and potentially resist human oversight.

If we can bring about an ecosystem of nimble, sophisticated, independent testing companies who continuously develop and improve their skill evaluating AI testing, we can help bring about a future in which society benefits from the incredible power of AI tools while maintaining meaningful safeguards against destructive outcomes.

Altman and OpenAI have been candid on this front. The end goal of OpenAI has always been to build a so-called artificial general intelligence, or AGI, that would, in their imagining, alter the course of human history forever, ushering in an unthinkable revolution of productivity and prosperity—a utopian world where jobs disappear, replaced by some form of universal basic income, and humanity experiences quantum leaps in science and medicine. (Or, the machines cause life on Earth as we know it to end.) The stakes, in this hypothetical, are unimaginably high—all the more reason for OpenAI to accelerate progress by any means necessary.

As with other grand projects of the 20th century, the voting public had a voice in both the aims and the execution of the Apollo missions. Altman made it clear that we’re no longer in that world. Rather than waiting around for it to return, or devoting his energies to making sure that it does, he is going full throttle forward in our present reality.

In response to one question about AGI rendering jobs obsolete, Jeff Wu, an engineer for the company, confessed, “It’s kind of deeply unfair that, you know, a group of people can just build AI and take everyone’s jobs away, and in some sense, there’s nothing you can do to stop them right now.” He added, “I don’t know. Raise awareness, get governments to care, get other people to care. Yeah. Or join us and have one of the few remaining jobs. I don’t know; it’s rough.”

Part of Altman’s reasoning, he told Andersen, is that AI development is a geopolitical race against autocracies like China. “If you are a person of a liberal-democratic country, it is better for you to cheer on the success of OpenAI” rather than that of “authoritarian governments,” he said. He noted that, in an ideal world, AI should be a product of nations. But in this world, Altman seems to view his company as akin to its own nation-state.

Wu’s colleague Daniel Kokotajlo jumped in with the justification. “To add to that,” he said, “AGI is going to create tremendous wealth. And if that wealth is distributed—even if it’s not equitably distributed, but the closer it is to equitable distribution, it’s going to make everyone incredibly wealthy.”

This is the unvarnished logic of OpenAI. It is cold, rationalist, and paternalistic. That such a small group of people should be anointed to build a civilization-changing technology is inherently unfair, they note. And yet they will carry on because they have both a vision for the future and the means to try to bring it to fruition

Wu’s proposition, which he offers with a resigned shrug in the video, is telling: You can try to fight this, but you can’t stop it. Your best bet is to get on board.

Everywhere, new investment in green energy generation is being propelled by general concern for the climate, shifting corporate and household demand, the plunging prices for solar and batteries triggered by Chinese policy, and a combination of national and regional interventions

How different would we expect this data to look without the IRA?

The most useful overview of these modeling efforts that I have been able to find is by Bistline et al “Power sector impacts of the Inflation Reduction Act of 2022” in Environmental Research Letters November 2023. If anyone has a better source, please let me know.

The top panel shows the historical trajectory of US generating capacity from 1980 to 2021. The second half of the graphic shows how 11 different models predict that the US electricity system might be expected to develop up to 2035, with and without IRA.

all the models expect the trends of the 2010s to continue through to the 2030s which means that solar, wind and battery storage dominate America’s energy future. Even without the IRA, the low carbon share of electricity generation will likely rise to 50-55% by 2035. Bidenomics bumps that to 70-80 percent.

The question is: “How does the renewable surge of 2022-2024, compare to the model-based expectations, with and without the IRA?”

The answer is either, “so so”, or, more charitably, it is “too early to tell”. In broad terms the current rate of expansion is slightly above the rate the models predict without the provision of additional Bidenomics incentives. But what is also clear is that the current rate of expansion, is far short of the long-run pace that should be expected from the IRA

At this point, defenders of the IRA interject that the IRA has only just come into effect. Cash from the IRA is only beginning to flow. And in an environment of higher costs for renewable energy equipment and higher interest rates, cash matters.

As Yakov Feygin put it: “Maybe the pithiest way to put it is that there are pre-IRA trends and outside IRA trends, but IRA has served to rapidly compress the timeframes for installation in a lot of technologies. So five years has turned into two, for example.”

So, to judge the impact of the IRA to date, the real question is not what has been built in 2022 and 2023, but what is in the pipeline.

Advised by JP Morgan, sophisticated global players like Ørsted are optimizing their use of both the production and investment tax credits offered by the IRA to launch large new renewable schemes. Of course, correlation is not the same as causation

Where the IRA is perhaps doing its most important work may be in incentivizing the middle bracket of projects where green momentum is less certain.

According to Utility Drive: “The 10 largest U.S. developers plan to build 110,364 MW of new wind and solar projects over the next five years, according to S&P Global Market Intelligence, but the majority of these projects remain in early stages of development. Just 15% of planned wind and solar projects are under construction, and 13% are considered to be in advanced stages of development, … ”

The states that I have highlighted in red stand out either for their unusually low existing level of renewable power capacity or their lack of current momentum.

Along with Texas, the pipelines for the PJM, MISO and Southeast regions (which includes Florida) look particularly healthy.

The relatively modest California numbers should not be a surprise. As Yakov Feygin and others pointed out, what is needed in California is not more raw generating capacity, but more battery storage. And that is what we are seeing in the data.

The numbers would be even larger if it were not for the truly surreal logjam in California’s system for authorizing interconnections. According to Hamilton/Brookings data the volume of hybrid solar and batter capacity in the queue for approval is 6.5 times the capacity currently operating in the state. In other words there is an entire energy transition waiting to happen when the overloaded managerial processes of the system catch up

Texas’s less bureaucratic system seems to be one of its key advantages in the extremely rapid roll-out of solar.

though it may be true that globally speaking the United States as a whole is a laggard in renewable energy development,

If California (with an economy roughly comparable to that of Germany at current exchange rates) and Texas (with an economy roughly the size of Italy’s) were countries, they would be #3 and #5 in the world in solar capacity per capita.

the obvious question is, which are the laggards in the US energy system.

So there is a lot to get excited about, at, what we are learning to call, the “meso”-level of the economy (more on this in a future post).

What the state-level data reveal is that there are a significant number of large states in the USA where solar and wind energy have barely made any impact. Pennsylvania, for instance

The relative levels of sunshine between US states is irrelevant. As the global solar atlas shows, the entire United States has far better solar potential than North West Europe. If you can grow corn and tobbaco, you can do utility-scale solar. The fact that Arizona is not a solar giant is mind boggling.

Texas is both big and truly remarkable. California already is a world leader in renewable energy. Meanwhile, the majority of the US electricity system presents a very different picture. There is a huge distance to be traveled and the pace of solar build-out is unremarkable.

This is where national level incentives like the IRA must prove themselves

And these local battles in America matter. Given the extremely high per capita energy consumption in the USA, greening state-level energy systems is significant at the global level. It does not compare to the super-sized levels of emissions in China, but it matters.

Indonesia’s total installed electricity generating capacity is rated at 81 GW. As far as immediate impact on the global carbon balance is concerned, cleaning up the power systems of Pennsylvania and Illinois would make an even bigger impact.

A key test of Biden-era climate and industrial policy will be whether it can untie the local political economy of fossil fuels, which, across many regions of the United States still stands in the way of a green energy transition that now has all the force of economics and technological advantage on its side.

A prosecutor may well have political motivation, but his motivation isn’t what determines a verdict; he must prove his charges in court, through an adversarial process. Despite the yelps that Trump was tried in a kangaroo court, his lawyers had every opportunity to challenge jurors, introduce evidence, question prosecution witnesses, and call their own.

Trump is also right to note that his business practices and records didn’t attract anywhere near as much attention before he was a politician. Trump was famous before he was president, but becoming the most famous person on Earth is something else entirely. With the perks of fame comes more scrutiny. (Just ask Hunter Biden.)

Supporters of the Trump prosecution should be honest about the possibility of political motive underlying the case. The danger of political bias is an inherent flaw in the system of elected district attorneys that most jurisdictions around the U.S. use.

Capone was a notorious gangster, involved in murder, bootlegging, and racketeering, so it seems ludicrous that he was nailed on something as procedural and dry and quotidian as evading taxes.

the Capone case. The mobster committed many crimes, but he did them in a way that made them hard to prosecute. Like many organized-crime bosses, he made sure to speak about things elliptically and keep his fingerprints (literal and metaphorical) off things. (Does this sound familiar?) But Capone couldn’t hide financial crimes as effectively. Prosecutors went after him for tax evasion because that’s what they could prove. It is not selective prosecution to go charge someone for a crime for which you have evidence, even if you don’t charge them for the other, more difficult-to-prove crimes. It is realism. It’s also justified and just.

Republican cries of political prosecution can also be understood in another, better way. Because Trump’s defenders are unwilling to argue that he didn’t falsify the records or that it shouldn’t be a crime, they’re actually arguing that he should get a pass on crimes they view as minor because he’s a political figure

“If they can do this to me, they can do this to anyone,” Trump said at a press conference this morning. Indeed, that’s the point of equal justice under the law.

That shame mangrove has been completely uprooted by Trump.

The reason people felt ashamed is that they felt fidelity to certain norms — so their cheeks would turn red when they knew they had fallen short

He keeps pushing our system to its breaking point, flooding the zone with lies so that the people trust only him and the truth is only what he says it is. In nature, as in society, when you lose your mangroves, you get flooding with lots of mud.

People in high places doing shameful things is hardly new in American politics and business. What is new, Seidman argued, “is so many people doing it so conspicuously and with such impunity: ‘My words were perfect,’ ‘I’d do it again.’ That is what erodes norms — that and making everyone else feel like suckers for following them.”

Nothing is more corrosive to a vibrant democracy and healthy communities, added Seidman, than “when leaders with formal authority behave without moral authority.

Without leaders who, through their example and decisions, safeguard our norms and celebrate them and affirm them and reinforce them, the words on paper — the Bill of Rights, the Constitution or the Declaration of Independence — will never unite us.”

. Trump wants to destroy our social and legal mangroves and leave us in a broken ethical ecosystem, because he and people like him best thrive in a broken system.

in the kind of normless world we have entered where societal, institutional and leadership norms are being eroded,” Seidman said to me, “no one has to feel shame anymore because no norm has been violated.”

Responsibility, especially among those who have taken oaths of office — another vital mangrove — has also experienced serious destruction.

It’s not that the people in these communities have changed. It’s that if that’s what you are being fed, day in and day out, then you’re going to come to every conversation with a certain set of predispositions that are really hard to break through.”

Your sense of responsibility to appear above partisan politics to uphold the integrity of the court’s rulings would not allow it.

Civil discourse and engaging with those with whom you disagree — instead of immediately calling for them to be fired — also used to be a mangrove.

when moral arousal manifests as moral outrage — and immediate demands for firings — “it can result in a vicious cycle of moral outrage being met with equal outrage, as opposed to a virtuous cycle of dialogue and the hard work of forging real understanding.”

In November 2022, the Heterodox Academy, a nonprofit advocacy group, surveyed 1,564 full-time college students ages 18 to 24. The group found that nearly three in five students (59 percent) hesitate to speak about controversial topics like religion, politics, race, sexual orientation and gender for fear of negative backlashes by classmates.

Locally owned small-town newspapers used to be a mangrove buffering the worst of our national politics. A healthy local newspaper is less likely to go too far to one extreme or another, because its owners and editors live in the community and they know that for their local ecosystem to thrive, they need to preserve and nurture healthy interdependencies

in 2023, the loss of local newspapers accelerated to an average of 2.5 per week, “leaving more than 200 counties as ‘news deserts’ and meaning that more than half of all U.S. counties now have limited access to reliable local news and information.”

As in nature, it leaves the local ecosystem with fewer healthy interdependencies, making it more vulnerable to invasive species and disease — or, in society, diseased ideas.

It used to be that if you had the incredible privilege of serving as U.S. Supreme Court justice, in your wildest dreams you would never have an American flag hanging upside down

we have gone from you’re not supposed to say “hell” on the radio to a nation that is now being permanently exposed to for-profit systems of political and psychological manipulation (and throw in Russia and China stoking the fires today as well), so people are not just divided, but being divided. Yes, keeping Americans morally outraged is big business at home now and war by other means by our geopolitical rivals.

More than ever, we are living in the “never-ending storm” that Seidman described to me back in 2016, in which moral distinctions, context and perspective — all the things that enable people and politicians to make good judgments — get blown away.

Blown away — that is exactly what happens to the plants, animals and people in an ecosystem that loses its mangroves.