Nuclear, The Story Not Told

Posted on May 24, 2026 by Sci Fi Engineer

Two numbers.

Hydro: 1.30 deaths per terawatt-hour of energy generated.
Nuclear: 0.03.

I spent thirty years in power electronics and systems engineering. I’m used to evaluating risk from data. When I first looked at those two numbers sitting side by side in the same table, I had to read them twice. Then I went looking for where the data came from, who had reviewed it, and whether anyone had poked holes in it. Nobody had. The methodology is consistent across multiple independent sources, and the numbers have held for years.

The question that’s stuck with me since is a simple one: why does one of those numbers drive policy, and the other one barely gets mentioned?

That’s not a rhetorical question. It has an answer. And the answer is worth understanding, because the same mechanism is almost certainly operating right now on something else entirely.

August 1975

Henan Province, China. Typhoon Nina hits a cold front and drops roughly a year’s worth of rain in 24 hours. The Banqiao dam, built to handle a so-called thousand-year flood, gets overtopped. Sluice gates are partially blocked by sediment. The dam fails. Then 62 downstream reservoirs fail in sequence.

A wall of water six meters high and ten kilometers wide moves down that valley at close to 50 kilometers an hour.

Direct deaths: approximately 26,000. Total deaths, once you account for the famine and disease that followed the destruction of the regional water supply and agricultural system: somewhere between 171,000 and 230,000 people. The Chinese government suppressed the numbers for decades. Most people in the West have never heard of Banqiao.

Nobody stopped building dams.

No global regulatory freeze. No decades-long moratorium on new hydroelectric construction. Banqiao killed more people than every nuclear incident in history combined, and the policy response was essentially nothing.

Hold that thought.

Nuclear’s Actual Record

Three events define public perception of nuclear power.

Three Mile Island, 1979. Partial meltdown. Serious incident. Zero direct deaths. Peer-reviewed studies found no measurable increase in cancer incidence in the surrounding population. The containment system worked.

The public response: mass panic. The regulatory response: construction permits frozen across the United States. No new nuclear plant ordered after 1974 was completed for decades.

Chernobyl, 1986. A genuinely catastrophic failure of a reactor design with known safety flaws, operated outside its safety envelope during a test. Peer-reviewed death toll: approximately 433. That number gets reported in popular media as tens of thousands, sometimes hundreds of thousands. The peer-reviewed literature does not support those figures.

Fukushima, 2011. This one needs context. A magnitude 9 earthquake and a 15-meter tsunami killed approximately 20,000 people directly and destroyed the regional infrastructure. The nuclear plant failure was a knock-on of that disaster, not a standalone event. Hospitals were already overwhelmed, supply chains already broken, shelters already strained.

That context matters, and it makes what follows more striking, not less.

Deaths from radiation: zero. UNSCEAR and the WHO both confirm no member of the public or plant worker died from acute radiation exposure.

Deaths from the evacuation: 2,313. Officially certified by the Japanese Reconstruction Agency. Cohort studies compared evacuated groups against matched groups in the same disaster zone who were not subject to the nuclear evacuation order. The excess mortality still tracks to the evacuation specifically, not the general disaster. Patients pulled off ventilators and loaded onto buses. Elderly evacuees in unheated gymnasiums in March without their cardiac medications. Long-term displacement that drove a documented spike in strokes, heart attacks, and suicides.

The evacuation killed 2,313 people. The radiation killed none.

Germany’s response: shut down all nuclear plants within twelve months.

The Thing Nobody Talks About

If nuclear is the thing people are afraid of, coal is the thing nobody discusses.

Coal sits at 24.62 deaths per terawatt-hour. That’s not an accident rate. That’s a baseline. It runs every hour the plant is operating, in every community downwind, invisibly.

The mechanism is particulate matter, specifically PM2.5. Fine particles that bypass your lung filtration and enter the bloodstream. They drive ischemic heart disease, stroke, and chronic obstructive pulmonary disease. The people dying from this don’t die in a dramatic event. They die over years, and the death certificate says heart disease, not power plant.

In the United States alone, between 1999 and 2020, 460,000 deaths were directly attributed to coal particulate emissions. That’s a peer-reviewed figure from a study published in Science in 2023, based on Medicare records.

Globally, fossil fuel air pollution causes an estimated 5.13 million excess deaths per year.

No headlines. No evacuation zone. No footage. No panel of experts. It just happens, continuously, and we have decided as a society that this is acceptable.

Why the Data Didn’t Matter

This is the part worth sitting with.

The deaths-per-TWh data has been available and consistent for a long time. The numbers aren’t new. So why did the policy response to nuclear go one way and the response to everything else go another?

The answer isn’t scientific illiteracy, though that plays a part. The answer is how human risk perception actually works, and specifically a category psychologists call dread risk.

Before applying it to nuclear, try it somewhere closer to home.

Roughly 40,000 people die in car accidents in the United States every year. Commercial aviation kills, in a typical year, somewhere between zero and a few dozen. Per mile traveled, you are orders of magnitude more likely to die in a car than on a plane. Most people know this, at least abstractly. And yet a significant portion of the population is afraid to fly and gets in the car without a second thought.

That’s not stupidity. That’s a predictable failure mode of the human nervous system. Dying in a plane crash feels uncontrollable, invisible in its causes, and catastrophic in its image. Dying in a car feels like something that happens to other people who weren’t paying attention. The statistics are not what’s driving the fear response. The characteristics of the event are.

Psychologists have a precise vocabulary for this. The factors that amplify perceived risk include: whether exposure is voluntary or involuntary, whether the mechanism is visible or invisible, whether effects are immediate or delayed, and whether the hazard carries prior cultural associations with catastrophe. Score high on those dimensions and people will treat a low-probability event as an existential threat. Score low, and they’ll accept a high-probability harm without complaint.

Nuclear hits every trigger. Radiation is invisible. Exposure is involuntary. The effects are delayed. And the word “nuclear” has carried the weight of Hiroshima and Nagasaki since 1945. Thirty years of Cold War civil defense films, fallout shelter drills, and duck-and-cover exercises had done their work long before Three Mile Island. The public was primed.

Coal has none of that. It kills more people per unit of energy than any other source in widespread use. It kills them slowly, distributed across populations, through mechanisms that show up on death certificates as heart disease and stroke. There is no “coal incident” that preempts the evening news. So coal never triggered the dread response. It just kept running.

Here’s where it gets interesting from a broader perspective. Once you understand that nuclear had a unique set of psychological vulnerabilities, you also understand that those vulnerabilities were predictable. And predictable vulnerabilities are usable ones.

You didn’t need to fabricate data to keep nuclear from expanding. You didn’t need to lie about the death toll or invent risks that didn’t exist. You just needed to keep the fear operational. Any outcome you wanted from that situation, whether it was energy policy, geopolitical competition, protection of existing energy assets, or genuine environmental concern, ran through the same lever. The mechanism did the work regardless of the motive behind it.

That’s how you get a policy response that froze an industry after an incident with zero deaths, while an energy source that kills hundreds of thousands of people a year kept operating without comment.

The data didn’t change the policy because the data was never the driver of the policy. The fear was the driver, weaponized by a lot of different actors. And fear, once well-established in a culture, doesn’t need new information to sustain itself.

What It Cost

After Three Mile Island, the NRC froze construction permits and shifted to an adversarial licensing posture. Plants that were 80% complete had to be redesigned to meet new rules written after they broke ground. The rules kept changing. Cable separation distances. Concrete specifications. Redundant backup systems. Each rule issued as a response to perceived risk, none ever rolled back.

The industry has a name for it: the regulatory ratchet. Rules only move in one direction.

The result: construction timelines doubled. Overnight capital costs increased by over 200%. An industry that had been commercially viable became financially impossible.

One example makes it concrete.

The Shoreham Nuclear Power Plant on Long Island, New York. Construction started in 1973. The original cost estimate was $75 million. The plant was completed in 1984 at a final cost of $6 billion. The regulatory environment had changed so many times during construction that the finished plant was essentially built twice. After completion, the plant ran a single low-power test. It never delivered commercial electricity to a single home. In 1989, Long Island Lighting Company transferred ownership to New York State for one dollar. The plant was decommissioned.

Zero deaths at Three Mile Island. The containment worked. The response was to make nuclear power economically unbuildable for the next forty years, and to leave a completed $6 billion power plant sitting idle until it could be taken apart.

The Question the Data Left Open

The engineering question was answered a long time ago. Deaths per terawatt-hour is a clean metric. The data is consistent across multiple independent methodologies. Nuclear kills fewer people per unit of energy than any fossil fuel, and roughly the same as wind and solar. Hydro sits at 1.30, driven almost entirely by a single dam failure in 1975 that most people in the West have never heard of.

The question the data leaves open is not whether nuclear is dangerous. The data settled that. The question is why the data didn’t matter, what it cost us that it didn’t, and whether you can now look at any other technology or industry and spot the same pattern running.

Find something that scores high on the dread risk dimensions. Invisible mechanism. Involuntary exposure. Delayed effects. Prior cultural associations with catastrophe. Then look at what the data actually says about it versus what the policy response has been.

The mechanism is still running. The only variable is what it’s pointed at today.

Here is the file

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M.A. Harris is a systems and mechanical engineer with 30 years in power electronics and a particular interest in how engineering data interacts with public policy. He writes hard science fiction as M.A. Harris and runs The Unretired Engineer on YouTube.

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We Handed Them the Market

Posted on April 20, 2026 by Sci Fi Engineer

Related video: Range Anxiety — The Unreal Reality

I’ve been involved with EV power and propulsion for much of the last 30 years. My latest stint was at Wolfspeed, developing SiC power modules for EVs and fast chargers. When the EV market stalled and the company went into Chapter 11, I was among the people who lost their jobs.

I still think EVs are the right direction. I don’t own one. That’s not a contradiction, it’s the actual story, and the video above is where I work through it.

The short version: range anxiety was always overblown for most drivers, and the auto makers never built the product mix that met the needs of the broad market. Now the industry is driving hard away from EVs, especially in the US, and that’s just wrong-headed. The video closes on that but doesn’t dig into why. This post does.

The Part That Stings

While the US was arguing about mandates and turning the issue into clickbait, China was engineering.

BYD is selling comfortable, adequate-range EVs in the $15–20K range. That’s the vehicle that moves the majority of buyers. Not the Cybertruck, not the F-150 Lightning, not the Rivian. A practical car at a price most people can actually consider.

We handed them that market. Not through malice or conspiracy, but through a combination of policy that optimized for the wrong things and an industry that focused on protecting its margins.

The policy pushed hard for EV adoption with mandates, subsidies, timelines. Some of that pressure was probably warranted. The market would have gotten there on its own, but the question of when and at whose expense was real. The intervention accelerated some things. What it didn’t do was direct the industry toward the product that would actually move the needle for most buyers.

The industry copied Tesla’s playbook; premium vehicles, long range, performance, high price points. That was the wrong lesson. Tesla used that model to fund the manufacturing and infrastructure investment that actually mattered. Everyone else just took the margin and stopped there.

The charger network made the same error I described in a previous video: build for the metric that looks good in the grant report, not the outcome that matters to the driver. 97% uptime. 71% charging success rate. Two different measurements, only one of which tells you whether the thing worked.

Why Big Auto Isn’t Saving Itself

I always loathed the heavy-handed government push on EVs and what I read as gaslighting on the rationale. Mandates handed down by people who had never looked at a cost model. Timelines written by committees that had no idea what it actually takes to retool a supply chain or build an infrastructure.

At the same time, I think some intervention was warranted. Not because the market was wrong about EVs, but because the market was optimizing for the next quarter. And the externalities of the status quo were landing on people who weren’t in the pricing model.

Intervention at scale creates dependencies. The industry made bets premised on the government backstop continuing. When the political environment shifted, those bets didn’t just look bad, they collapsed. And the response has been to drive hard back toward gasoline, as if that solves anything.

US old-line auto companies have been struggling for decades, and the reasons are structural. They’re trapped by regulatory capture and built-in costs that make adaptation nearly impossible.

Start at the sales end. Their dealer networks are regulated state by state, which makes wholesale change all but impossible. Safety regulations run through a system where insurers push regulators to require improvements that the industry develops partly because those improvements push up vehicle margins. Manufacturing plants are at their core decades old, and the capital they represent sits on the books, write it down and you impair the balance sheet. Design is path dependent by habit and incentive: most changes are incremental tweaks to last year’s platform because that’s easy, cheap, and legible to accounting.

And the margin structure makes it worse. Bill-of-material cost for a vehicle increases slowly with size and content. Market value is largely bling-dependent. So the incentive always points toward large, well-fitted vehicles where the spread is widest, and away from the small practical vehicle where there’s almost none.

Meanwhile, the manufacturing model has already been cracked. A new generation of EV makers proved you can build at scale in the US, turn a profit, and drive down the cost curve without the legacy overhead strangling the old players. Big Auto is watching that happen and still can’t follow, because the legacy network isn’t just a cost problem, it’s a constraint on every decision they make.

Moving back to gasoline doesn’t fix any of this. It may help sales volume near-term, but fewer and fewer buyers are willing to pay up for big iron, and as the recent spike in gas prices reminded everyone, the cost of operating a gas vehicle is not as predictable as it felt a few years ago.

The wholesale abandonment of EVs is as wrong-headed as the mandates-first push that preceded it. You’re walking away from the future as it’s getting its feet under it, and you’re not fixing your actual problems in the process.

Different direction, same failure mode: optimizing for the political moment rather than the real problem.

What I Expect to Happen

The market will keep sorting this out despite the policy environment, not because of it.

Amazon is sponsoring the Slate, a small electric truck aimed squarely at the price point where the volume is. Ford is talking about smaller, value-forward platforms. The product mix gaps are starting to fill in, and the players doing it understand they have to meet buyers where they are, which is around $20K for a vehicle that’s good enough and built around what EVs actually do well.

BYD is a harder question. It was built on the back of Chinese state support and practices that wouldn’t survive scrutiny elsewhere, but that doesn’t change what it demonstrates: a level of technical maturity across product fit, design, and manufacturing that very few other automakers can match. Tariffs and regulatory barriers will slow it down. They won’t hold permanently. Some form of that capability will find its way into the US market, and when it does it will accelerate the shakeout that’s already coming for Big Auto.

Charging infrastructure will improve in the corridors where the economics support it and stay thin everywhere else, and that’s how it should work. Where it’s thin, the economics will eventually pull in local investors, the same way any other service infrastructure fills in. It won’t be fast, but it will happen.

The transition will come, just slower and more expensively than it had to be. The destination is probably the same. The cost of getting there is substantially higher, and much of the value being created will go to manufacturers who aren’t American. That’s the envelope effect of all the intervention and counter-intervention stacked on top of each other.

The engineers mostly knew it was going to be complicated. Technical change at a social scale always is. The complicated part is rarely the technology.

Mark Harris is a systems and mechanical engineer, recovering from a career in EV power electronics, and the author of Stranded in the Stars (Book One, The Sea of Suns Trilogy). He writes about engineering, technology, and the creative life at This World and Others. The Unretired Engineer is on YouTube at https://www.youtube.com/@Scifiengineer-09