Placebos Don’t Exist

Why the “Placebo Effect” Is a Laboratory Concept—Not a Real-World One

Few ideas in health, fitness, and medicine are invoked as casually—and as confidently—as the placebo.

An athlete wears the same socks or follows the same warm-up ritual before every competition and swears they feel more focused and prepared?
“Just superstition… placebo.”

A supplement that doesn’t have strong evidence behind it reliably reduces your pain or stiffness?
“Probably placebo.”

A chiropractic adjustment doesn’t “change structure,” but you walk out feeling looser, calmer, and more willing to move?
“That’s the placebo effect.”

The term has become a conversational shrug—a way to explain improvement we don’t fully understand without having to examine it too closely.

But here’s the uncomfortable truth:

Outside of a scientific laboratory, placebos don’t actually exist.

They are not a thing you can “give” someone in the real world.
They are not a mechanism you can apply or avoid in daily decision-making.
And they are not a valid reason to dismiss an outcome that someone actually experienced.

Placebos are a research construct—a tool created to isolate variables under tightly controlled experimental conditions. Once you leave that environment, the concept stops functioning in any meaningful way.

And continuing to use it outside the lab often creates more confusion, not clarity.

What a Placebo Actually Is

In scientific research, a placebo is not magic, belief, optimism, or hope.

A placebo is a control condition.

Its purpose is simple and narrow:
To help researchers determine whether a specific intervention has effects beyond expectation, attention, ritual, or time.

In a randomized controlled trial, participants are intentionally divided into groups:

  • One group receives the intervention being studied

  • Another receives a placebo—something designed to appear identical but lack the “active ingredient”

The key features here are critical:

  1. Blinding – Participants (and often researchers) do not know who received what

  2. Randomization – Assignment is not based on preference, belief, or need

  3. Isolation of variables – The study attempts to strip away context, meaning, and individuality

Within that artificial environment, the placebo functions as a comparison tool.

It answers a specific question:

Does this intervention outperform expectation alone, under controlled conditions?

That’s it.

It was never designed to explain how humans heal, adapt, learn, or change in the real world.

The Moment You Leave the Lab, the Placebo Disappears

Outside of research, nothing is blinded.

People know what they are doing.
They know why they are doing it.
They know who recommended it.
They know what they hope will happen.

That alone breaks the entire premise of a placebo.

Once someone is aware of an intervention, the experience becomes inseparable from:

  • Meaning

  • Expectation

  • Context

  • Trust

  • Previous experience

  • Emotional state

  • Environment

  • Relationship with the provider

  • Sense of agency

In real life, these factors are not “confounders.”

They are the intervention.

Calling an outcome “placebo” outside the lab is like blaming measurement error for a result you never actually measured.
The term exists to describe the limitations of an instrument under controlled conditions—not to dismiss the phenomenon itself.

The Category Error We Keep Making

The biggest mistake we make with placebos is a category error.

We take a concept designed for experimental control and treat it as if it were a standalone causal explanation.

But “placebo” does not describe what happened.

It describes what researchers couldn’t isolate.

When someone improves after an intervention that doesn’t fit our preferred explanation, calling it a placebo is not insight—it’s avoidance.

It’s a way of saying:

“I don’t have a framework for this outcome, so I’ll label it as non-real.”

But the outcome was real.

The pain changed.
The function improved.
The behavior shifted.
The confidence increased.

Dismissing that because it doesn’t fit a narrow mechanistic model is not scientific skepticism—it’s intellectual laziness.

Human Brains Are Meaning-Making Machines

One reason the placebo concept feels tempting is because it hints at something true:

Human perception, expectation, and interpretation profoundly influence experience.

But that doesn’t make those influences fake.

Your nervous system does not separate “real” inputs from “belief-based” ones. It integrates all available information and responds accordingly.

Pain is not a tissue property.
Fear is not a structural defect.
Confidence is not a chemical anomaly.

They are emergent experiences shaped by context, prediction, and learning.

If a conversation reduces threat and pain decreases, that’s not placebo.
If trust in your practitioner restores confidence and function, that’s not placebo.
If ritual and routine help regulate stress and sleep, that’s not placebo.

That’s how nervous systems work.

Why “Just Placebo” Is a Dangerous Phrase

The phrase “just placebo” carries an implicit judgment:

  • That the effect is lesser

  • That it is unreliable

  • That it doesn’t count

  • That it shouldn’t inform decisions

This is where harm creeps in.

When clinicians dismiss improvement as placebo, they often:

  • Undermine patient confidence

  • Reinforce doubt and helplessness

  • Devalue subjective experience

  • Reduce trust in the therapeutic relationship

Ironically, these are the same factors we know influence outcomes.

We don’t tell people their anxiety relief was “just placebo.”
We don’t tell someone their confidence is “just placebo.”
We don’t tell a child their reassurance wasn’t real because it wasn’t pharmacological.

Yet in physical health, movement, and pain, we do this constantly.

Not because it’s accurate—but because it protects our models.

Placebo vs. Mechanism: A False Dichotomy

Another common misconception is that placebo effects are somehow separate from physiology.

As if belief floats above the body, disconnected from neural signaling, hormonal responses, immune modulation, and motor output.

This is a false dichotomy.

Every experience that changes perception or behavior necessarily involves:

  • Neural activity

  • Neurochemical signaling

  • Autonomic regulation

  • Motor pattern adaptation

There is no non-physiological experience.

If expectation alters pain, it does so through mechanisms.
If reassurance improves function, it does so through mechanisms.
If meaning changes behavior, it does so through mechanisms.

We may not always know which mechanisms are dominant—but ignorance does not invalidate the experience.

Why We Keep Using the Term Anyway

So why does the placebo label persist outside the lab?

Because it’s convenient.

It allows us to:

  • Dismiss outcomes without re-examining our frameworks

  • Preserve hierarchy (“real” treatments vs “fake” ones)

  • Avoid uncertainty

  • Maintain authority

It’s easier to say “placebo” than to say:

“There’s more happening here than my model currently explains.”

But growth—in science or practice—has never come from clinging to incomplete models.

The Real Question We Should Be Asking

Instead of asking:

“Was that just placebo?”

We should be asking:

  • What changed in the person’s experience?

  • What inputs might have contributed?

  • What meaning did this intervention carry?

  • What behaviors shifted as a result?

  • What can we learn from this outcome?

These questions are harder—but infinitely more useful.

They treat humans as adaptive systems, not mechanical objects.

Why This Matters for Decision-Making

Outside the lab, people don’t choose interventions based on isolated variables.

They choose based on:

  • Values

  • Beliefs

  • Risk tolerance

  • Prior experience

  • Trust

  • Access

  • Timing

  • Goals

Trying to strip these factors away in real-world decision-making is not rational—it’s unrealistic.

A treatment that reliably helps people feel safer, move more, sleep better, or engage with life more fully is not invalid because its effects are context-dependent.

All human interventions are context-dependent.

Ignoring that doesn’t make us more scientific. It makes us less honest.

What Happens When We Let Go of the Placebo Crutch

When we stop using “placebo” as a dismissal, something interesting happens.

We start paying attention again.

We become curious about:

  • Communication

  • Framing

  • Environment

  • Relationship

  • Progression

  • Timing

  • Agency

We recognize that outcomes are not just delivered—they are co-created.

And instead of fearing that this undermines science, we realize it actually aligns with it.

Complex systems don’t respond to one stimulus. They adapt to context.

Humans are complex systems.

Placebos Don’t Exist—But Responsibility Does

Saying placebos don’t exist outside the lab does not mean:

  • Anything goes

  • Evidence doesn’t matter

  • Deception is acceptable

  • We abandon rigor

It means we stop pretending that controlled experiments describe real life.

It means we take responsibility for how context, communication, and meaning shape outcomes.

And it means we stop dismissing real human change because it doesn’t fit neatly into a controlled study.

A More Honest Conclusion

Placebos were never meant to explain the human experience.

They were meant to help us study it under artificial constraints.

Once you step outside those constraints, the term loses its usefulness—and keeping it around only obscures what’s actually happening.

People don’t respond to placebos.

They respond to experiences.

And those experiences are real—whether or not we have tidy labels for them.