How Physics Empowers Free Will in a Deterministic Universe

Why determinism never felt right to me — and how modern physics actually opens the door to real agency.

For years, the idea of hard determinism has bothered me. It clashes with how life actually feels. The universe as a giant clockwork machine—every particle with a fixed position and momentum, every event preordained from the Big Bang—sounds elegant in theory. But it implies that everything I’ve ever done or will do was inevitable. My choices? Just an illusion.

Hard determinists often present this view with a certain intellectual swagger, as if it signals deep sophistication. Yet many of them still look both ways before crossing the street. As Stephen Hawking wryly observed: “I have noticed that even those who assert that everything is predestined… still look both ways before they cross the road.”

That quip captures the tension. If the future is fixed, why bother acting at all? The view also carries an eerie resemblance to extreme Calvinism—some are saved, some damned, and nothing you do in this life ultimately changes the script. It never sat right with me, either intellectually or existentially.

Then I encountered the work of physicist and philosopher Jenann Ismael, particularly her book How Physics Makes Us Free. Link Her approach resonated strongly with an intuition I’d been developing for years: determinism and free will are not mutually exclusive. Physics doesn’t enslave us—it enables a deeper kind of freedom.

The “Now” Problem: Why the Instant is Trivial

Imagine the universe at a single frozen instant—the “Now.” In that timeless 3D snapshot, every particle has a position and energy vector. Past events fully determine what happens next. It looks perfectly deterministic.

But here’s the catch: that “Now” has no real existence for any actual observer. Relativity imposes strict limits. No particle (or person) can access information from outside its past light cone. At the exact moment of “Now,” that light cone has zero depth—nothing from even a tiny distance away has had time to reach you. Complete information about the universe is impossible in the present.

Laplace’s Demon—the hypothetical super-intellect that knows every particle’s state and can predict the entire future (or past)—assumes a “God’s-eye view from nowhere.” Modern physics makes that view untenable. Any real system faces data latency, noise, uncertainty, and computational irreducibility. The demon’s omniscience is a fantasy.

In short, strict determinism at the instantaneous “Now” (what I’ve called the InP, or Instant-Point) is technically true but functionally trivial. It tells us almost nothing useful about how agents like us actually operate.

Memory: The Engine of Agency

Freedom emerges not in the frozen instant, but across time through accumulated memory and structure.

Even in a blind, non-living universe, basic thermodynamics creates imprints: a rock scars the ground when it falls; waves erode a shoreline. These are primitive forms of “memory”—the past shaping the future through persistent physical traces.

Life takes this to another level. Biology is essentially memory in action. RNA, DNA, neural patterns—these are systems that record what worked and what didn’t. Evolution itself is a memory process: successful patterns persist and build upon one another.

Over eons, this scales up:

  • Simple input → output (basic matter)
  • Input → memory/comparison → internal model → action → output (living organisms)

A frog snaps at a fly. A squirrel flees at a predator’s scent. A honeybee dances to communicate nectar locations to the hive. These are not random reflexes but decisions grounded in accumulated history and pattern-matching.

Humans take it further. Language, culture, and shared knowledge externalize memory, allowing us to build on the experiences of countless others. Our decisions arise from rich internal models shaped by personal and collective history—not from some magical spark that violates physics, but from the universe’s own lawful processes.

The agent does decide. The cause of the action lies in the person’s internal identity and accumulated experience. Labeling that “determined” is technically accurate but misses the point. It’s how we function.

The Generalized Good as an Attractor

This memory-driven agency isn’t aimless. Over deep time, beings with even modest volition tend to optimize for what they perceive as “good”—survival, order, flourishing. Humans are guidable, not perfectible. We make mistakes and fall for bad influences, but signals from reality (what works vs. what fails catastrophically) are powerful if we’re willing to heed them.

History shows progress: fewer people in extreme poverty, fewer dying in wars (in percentage terms, at least). Our ancestors weren’t ignorant fools; their traditions often encoded hard-won lessons. Change isn’t inherently good, but neither is stasis. The “generalized good” acts as a global attractor, even if local maxima vary by time, place, and culture.

In deprived environments (think North Korea), external options shrink, yet people still imagine and yearn for “other worlds.” The internal model remains a generator of possibility.

My Thesis

Free will is not a violation of physics. It is the high-level, computational process of an autonomous agent using the universe’s built-in memory—personal, biological, and cultural—to steer itself through time.

Determinism at the microscopic level may hold, but it becomes trivial once you account for relativity, light cones, computational limits, and the reality of embedded agents. What matters is that you are the one deciding, drawing on your history and internal model. There is no external puppet master. The causes flow through you.

Physics doesn’t rob us of freedom. By creating a world with persistent memory, evolving complexity, and embedded perspectives, it makes genuine agency possible.

That’s why the universe feels open rather than claustrophobic. That’s how physics makes us free.

Your Charger Was Up. It Just Didn’t Work

I put together a short take on this — under 60 seconds if you want the headline — and a longer breakdown of the structural issues for those who want the full picture.

▶ Short version (60 sec): https://youtube.com/shorts/zG-VtW2MUDU
▶ Full video: https://youtu.be/KAHuoShGtrs

There’s a number the EV charging industry reports, and there’s a number drivers experience. They’re not the same number, and the gap between them tells you everything about how this program was designed.

Operator-reported uptime: 97–99%. That’s a contractual requirement under the NEVI program — the $5 billion infrastructure buildout funded by the Bipartisan Infrastructure Law. On paper, the chargers are up nearly all the time.

Actual charging success rate: 71%. About a quarter of the time you pull up to a charger, it doesn’t charge your car. In many of those cases, nothing you do will make it work.

These are different measurements. One tells you the charger is technically online. The other tells you whether it did the job. Nobody confused them by accident — the reporting structure was built around the metric that was easiest to meet, not the one that mattered to the driver.

The failure modes are concrete. 60% of failed sessions involve a charger that’s simply out of service — not a user error, not a handshake problem between your car and the network. The unit isn’t working. Hardware degrades, software hangs, payment systems drop, network connections fail. These are expected failure modes for a system like this. The question is whether you’ve built the operations and maintenance infrastructure to catch them quickly. Most of the NEVI deployment didn’t.

New stations run at about 85% success. By year three, the same stations are below 70%. The 2022–2024 installation wave is hitting that curve now. And after year five, operators have no contractual obligation to keep the units running at all — so a lot of that hardware is simply going to disappear.

The regional variation is the tell. Seattle and LA are seeing failure rates around 24–25%. The East South Central region is at 7%. Same national program. The difference is operator discipline — some built real support structures, most didn’t, because the incentive to do so was never in the grant milestones.

This is a solvable problem. The gas station model solved it a century ago: put someone on site, make them responsible for the equipment, give drivers somewhere to wait while they charge. There’s no reason a charging network can’t work the same way. It’s just that the program specification never required it, so it wasn’t built.

Infrastructure problems are always systemic. The hardware is fine. The failure is organizational.


Mark Harris is a systems and mechanical engineer 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 Physics Produced the Ship

The Dagger Design

Most fictional spacecraft are designed backwards. The writer decides what the ship needs to do dramatically, then invents a reason it can do that. The result is technology that serves the plot. Which is fine, until you need it to do something different in book three, at which point you quietly bend the rules and hope no one notices.

Engineers don’t do that. Not because we’re more disciplined — because we can’t. You don’t change the spec because the schedule is tight. You re-examine the architecture or you live with the constraint.

That instinct, applied to fiction, produces something different.


The principal auxiliary warship in the Sea of Suns universe is called a Dagger. Here’s how it got its name — and it wasn’t because I thought “dagger” sounded good.

The Transit system — the FTL drive in this universe — works through a rail. The rail is a linear gravity generator that manipulates quantum foam to open a wormhole large enough for the ship to pass through. The rail controls volume you can push through: the more mass you want to move between stars, the more rails you need. Compute controls speed: the transit step is a calculation, and the faster you want to step, the more computing capacity you need.

That trade-off isn’t decoration. It’s the architecture.

An auxiliary warship needs to be fast. In this universe, fast means compute capacity. Compute capacity takes up volume inside the vessel. So a fast warship is, almost by definition, a ship that has traded its interior for processors. Twin rails — enough to move a meaningful crew and weapons load — with almost every remaining cubic metre given over to compute. Crew of two to five on a thousand-foot vessel. Not much else aboard.

Now you have a ship that’s fast, carries almost no cargo, and spends all its operational time in real space. Real space means it’s detectable. A detectable warship needs stealth. The most effective passive stealth for a vessel in this universe is minimising cross-section — flat surfaces, minimal radar return. You sheath the hull in flat panels that force the profile into a long, slender blade shape.

The name isn’t metaphor. It’s a description of what the physics produced.

I didn’t design a cool warship and retrofit a justification. The constraints generated the vessel, and then the vessel generated scenes I hadn’t planned, because once you know what a Dagger can and can’t do, certain tactical situations become inevitable.


That’s the engineer’s advantage in hard SF, and it’s not what most people think it is.

It’s not technical accuracy. You’ve invented the technology — accuracy isn’t really the point. It’s that engineering training gives you a specific habit of mind: ask what the constraints produce, not what you need them to produce. Follow the logic. Let the system build itself.

When the system is honest, the world it generates is consistent without effort, because everything follows from the same rules. The Dagger’s tactical role, its crew size, its limitations, the scenarios it enables — none of that required invention. It came out of the trade-off.

The reader doesn’t need to understand the Transit physics to feel that the Dagger is real. They just need to encounter it behaving consistently with itself across the whole story. That consistency is what creates the texture that makes a fictional universe feel inhabited rather than constructed.

Thirty years of engineering taught me that coherent systems generate their own logic. Turns out that works in fiction too.


Why Engineers Write Better Hard SF is on The Unretired Engineer YouTube channel —

Stranded in the Stars, Book One of the Sea of Suns Trilogy, is available on Kindle. The Dagger appears early and often. https://www.amazon.com/Stranded-Stars-M-Harris-ebook/dp/B0GT123PLP

The Problem With AI Answers Is That They’re Almost Right

AI slop isn’t obvious. That’s what makes it dangerous.

If an AI gave you complete nonsense, you’d catch it. The problem is when it gives you something fluent, confident, and “mostly” correct — with a flaw buried in the middle that you’ll only find if you already know the answer.

That’s the thing about AI as a research tool: it will give you the consensus view, coherently expressed, at the level of resolution that the training data supports. Where the training data is thin, ambiguous, or where real expertise requires distinguishing between things that *look* similar but aren’t — that’s where it fails. And it fails confidently.

Even when you use the deep research tools there are problems. When I was developing some content for my YouTube channel, The Unretired Engineer I ran into this doing research on Wolfspeed’s financial situation and the SiC power electronics market. I asked a deep research tool to pull together an analysis. What came back looked thorough. The problem was that it took a lot of information that had gone out about the future of the fab and future plans for markets and conflated them with what had happened and what was likely to happen in the near future.

To someone without a background with Wolfspeed and the real status of the SiC, the analysis would have read as authoritative. It wasn’t. It had serious timing errors delivered with confidence. I knew it was wrong because I’d spent years in that space. If I hadn’t, I might have taken it as written.

The fix isn’t to stop using it. The fix is to put yourself into it.

When I work with AI on my engineering writing, or on the physics underlying my novels, I’m not asking it to do the thinking. I’m using my domain knowledge to steer it, to catch the near-misses, and to push it past the consensus into territory where the expertise actually matters. The AI amplifies what I bring. Without that, it’s just averaging.

Use it as a tool. But know what it can’t know — and that’s usually the thing that matters most.



https://youtube.com/shorts/mbmKm_JcHQ0?feature=share

Mark Harris is a system and mechanical engineer and the author of “Stranded in the Stars” (Book One, The Sea of Suns Trilogy), available now on [Amazon](https://www.amazon.com/Stranded-Stars-M-Harris-ebook/dp/B0GT123PLP)
 

The Engineer’ Return to the Keyboard

Optimization, Systems, and Storytelling: Why I’m Back

It has been a while—twenty years by some counts—since I first sat down to bridge the gap between “This World” of high-tech engineering and the “Others” I build in my fiction.

For four decades, my world was defined by electronic packaging, power electronics, and project engineering for EVs in both the commercial and defense sectors. I’ve spent my time in the trenches of “Dilbert’s world,” working the real details that make everything from electromagnetic guns to nuclear electric space probes real. But as any engineer knows, a system is only as good as its last optimization.

During those 40-plus years, I was an intermittent author of fiction and science fiction, though at times the projects I worked on felt like fiction as well.

At 68, I was “unretired.” (You can see the genesis of this in my YouTube video, EVs Ate My Job.) Through my channel, The Unretired Engineer, I explore how a lifetime of technical rigor applies to the modern world. Now, I am bringing that same focus back to this blog and my novels. Writing is, after all, the ultimate engineering challenge: building a world from scratch that doesn’t collapse under the weight of its own physics.

What to Expect Moving Forward:

Technical Deep Dives: The “how-to” behind the tech in my books, like the propulsion systems in The Sea of Suns.

The Editing Trench: Updates on my current copy-editing passes for The Sea of Suns and the structural work on Under Siege.

System Reflections: Thoughts on remote work, optimization theory, and the reality of a 40-year career.

World Reflections: Perspectives on technology, civilization, and war based on four decades of study.

The Workshop: Occasional updates on making with wood, resin, and whatever else I’m tinkering with.

I’m no longer just “tinkering.” I’m building. Whether you followed me here from YouTube or found my work on Smashwords, I’m glad you’re part of the system.

Let’s see what we can build next.

A little Short

I am pivoting as the Unretired Engineer and using AI in my creative work as an adjunct not a replacement. My view is that since AI’s neural core is built on a rather crystalized version of the scraped net it can’t be radically creative without ahuman’s idiosyncrasies. Which I think I provide in spades.

For 40 years I was an Engineer 15 of which was remote. It’s a tool not comfort food.

The Systems Engineering of Remote Work: A 40-year viewpoint
https://youtu.be/K6ntv7cWEn0

After 40 years in the industry—from the 13-acre “Industrial Beast” Naval Avionics Center in 1982 to project leadership of global power electronics projects, with long stints working from a home office—I’ve seen the data. In this video, I break down why the “Return to Office” debate is often a struggle against Sub-Optimization.

Explore why the physical office provides the “Grit” required for innovation and the “Density of Learning” necessary for junior engineers, while the home office offers the “Gold” of deep work and the objective distance needed for systems integration.

The Unretired Engineer

You MUST participate in others Rebellion

in order for this psychodrama of rebellion to be successful, you and I must be enlisted into it. Truth requires the adherence of no one in order to be true, but the fragile lies of the left require everyone to be on board. Dissent provokes an unconscious reminder to their own denied truth, which is precisely why it “triggers” them.

Stuff I Learned Yesterday, OneCosmos

A truism that underlies much that might appear odd, as well as much Evil

Internal combustion battery…sort of

The center section is essentially 2 combustion chambers back to back, the orange wrap is the ‘stator’ of an electric generator. When the magnets tied to the piston runs through the stator it generates electricity. Then a spring returns the stator to the center and the cycle (2 cycle) starts again.
Green Car Report :Could Free Piston Range Extenders Broaden the Electric Truck Horizon?
One of the ‘cool’ things about a Free Piston Engine is that it can be packaged in a fairly simple block and because of the elimination of the mechanical drive train and residual mechanical controls (valves, cams, etc) the machine can eat different types of fuel and be tuned in a wide variety of ways quite simply. This makes it compatible with battery electric systems on a packaging and mission program ability standpoint.
A simple schematic of the bare bones of a free piston machine. Other uses have been proposed but tying it to a generator and modern power electronics to make it a range extender is pretty interesting. The technology is derivative of the highly refined IC engines of today and the equally long history of electric generators so this should be something that matures pretty quickly.