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Looking for Something Real
Predictive Brains, Truth, and What Endures When Certainty Fails
“We’re all just looking out for something real.”
— Blade Runner 2049
That line landed harder than I expected.
Not because it was poetic, but because it was precise. Almost clinical.
It names something I’ve been living inside for the past few years — and especially while traveling during the Tabula Rasa Tour — the tension between our desire for agency and the quiet neurological reality that we are always guessing what is real.
Not philosophically.
Neurologically.
The Predictive Brain’s Quiet Dilemma
Modern neuroscience has changed how I understand my own mind. The brain is not a truth-seeking device. It is not optimized for accuracy.
It is an energy-minimization system.
Its core objectives are simple:
- reduce surprise
- conserve metabolic cost
- maintain allostatic balance
- keep the organism viable
To do that, the brain does what evolution trained it to do:
It predicts. Constantly.
As Lisa Feldman Barrett and others describe, we do not perceive reality directly; we construct it from prior experience and incoming signals. Reality, to the brain, is not what is, but what is reliable enough to act on without destabilizing the system (Barrett, How Emotions Are Made).
That’s the subtle brilliance — and tragedy — of being human.
Agency vs. Free Energy
Agency feels like freedom.
Neurologically, it’s risk.
To act with agency means committing to a model of the world, investing energy in a prediction, and accepting the possibility of being wrong. If the prediction fails, free energy rises. Anxiety follows. The system destabilizes.
So the brain is always negotiating:
How much agency can I afford without breaking myself?
This explains why certainty feels comforting.
Why routines feel safe.
Why beliefs harden and identities calcify.
They are cheap predictions.
They lower energy costs.
They are also often wrong.
Daniel Kahneman’s work on cognitive shortcuts and energy conservation (Thinking, Fast and Slow) and Martha Beck’s framing of anxiety as prediction overload (Beyond Anxiety) both point to the same conclusion: the brain prefers stability over truth when the cost of truth feels too high.
We Are Guessing What Is Real
We don’t see reality as it is.
We infer it.
We select internal models that:
- work well enough
- don’t exhaust us
- keep the story coherent
Which leads to an uncomfortable realization:
Reality is whatever reduces prediction error fast enough to let us keep going.
That’s why two people can inhabit the same environment and walk away with entirely different “realities” — both functional, both metabolically efficient, both incomplete.
V.S. Ramachandran’s work (Phantoms in the Brain, The Tell-Tale Brain) makes this unavoidable: perception itself is inference.
Why That Line Hurts
In Blade Runner 2049, the pain isn’t that memories are fake.
The pain is that you can’t tell which predictions are safe to stake your agency on.
When memories can be implanted, records altered, identities manufactured, the brain loses its footing. Free-energy minimization collapses.
And the craving becomes primal:
Give me something real — something that won’t betray my predictions.
That craving isn’t abstract.
It’s biological.
Tabula Rasa: Living Without Anchors
Traveling without routine stripped away many of my old stabilizers. Different places, people, and rhythms forced my brain to continuously recalibrate.
What surprised me was this:
Peace didn’t come from certainty.
It came from coherence across signals.
When what I saw, heard, felt, and remembered aligned — even loosely — free energy dropped. I could act.
Peter Levine’s work on nervous-system regulation (Healing Trauma) and Iain McGilchrist’s insights into integration versus fragmentation (The Master and His Emissary) gave language to what I was experiencing: stability emerges from coherence, not control.
Truth Is Not Correctness
Here is the insight that changed everything for me:
Truth is not about being perfectly correct.
Truth is about stability over time.
Something feels real when:
- it holds across perspectives
- it resists contradiction
- it survives scrutiny and consequence
That’s not philosophy.
That’s neurobiology meeting civilization.
Heritage, Memory, and Provenance
Today, people point to ship manifests, census records, or family Bibles and say, “This proves where we came from.”
Those records matter not because they are old, but because they are trusted — anchored in time and cross-validated by institutions.
But 100 years from now?
Photos will be editable.
Video will be synthetic.
Audio will be cloned.
Records will be rewritten.
The future will not suffer from a lack of data.
It will suffer from a lack of provenance.
Heritage has never been just names and dates. It is intent, values, decisions, disagreements — the why behind the record.
Venki Ramakrishnan (Why We Die) and Chris Bertish (All In!) both circle the same truth: what endures is meaning that survives transfer across time.
Institutions Forget the Same Way People Do
Institutions behave like distributed minds. They have memory, prediction models, and action outputs.
When institutional memory fragments, prediction error rises. Confusion spreads. Trust erodes. Decisions become reactive.
This isn’t malice.
It’s memory loss at scale.
Most organizations record what happened, but not why. When leadership changes, successors are forced to guess. And guessing is expensive.
Civilizations don’t collapse because they forget facts.
They collapse because they forget why they mattered.
What Endures
Across biology, psychology, and civilization, the same pattern repeats:
What survives is not what is loudest, but what is most internally consistent across time and perspective.
Systems that last don’t erase disagreement. They preserve it.
They don’t enforce singular narratives. They contextualize plurality.
They don’t rely on authority alone. They embed accountability.
That realization quietly shaped the development of the VPAR model — Veracity, Plurality, Accountability, and Resonance — not as ideals, but as minimum conditions for truth that holds.
The Closing Realization
On the road, stripped of old anchors, I felt what individuals and institutions are now feeling collectively:
The exhaustion of guessing.
The cost of uncertainty.
The craving for something real.
Not perfect truth.
Not absolute certainty.
Just truth stable enough to act on without fracturing the system.
That’s what we’ve always been searching for.
And maybe that’s what that line from Blade Runner was pointing to all along.
We’re all just looking out for something real.
And then… we keep going.
Reading List & Influences
Predictive Brain & Constructed Reality
- Barrett, How Emotions Are Made
- Linden, The Accidental Mind
- Ramachandran & Blakeslee, Phantoms in the Brain
- Ramachandran, The Tell-Tale Brain
- Yong, An Immense World
Agency, Anxiety, and Energy
- Kahneman, Thinking, Fast and Slow
- Beck, Beyond Anxiety
- Gawdat, Solve for Happy
- Britt Frank, The Science of Stuck
Integration, Trauma, and Coherence
- Levine, Healing Trauma
- McGilchrist, The Master and His Emissary
- Mitchell, Accelerated Learning
Meaning, Legacy, and Continuity
- Christensen et al., How Will You Measure Your Life?
- Duhigg, Supercommunicators
- Ramakrishnan, Why We Die
- Bertish, All In!