What Sets Apart People Who Turn Thought into Reality?

— Rethinking Dopamine D2, the Transition to Action, Persistence, and Deep Engagement

People can see the same things and create entirely different realities.

They see the same ideas. Receive the same information. Encounter the same opportunities.

Yet one person moves.

They act on their thoughts. Repeat what they do. Revise when they fail. Act again. They keep this up for months, for years.

Eventually, an idea that existed only in their head becomes a product, a company, a technology, sometimes an entire industry.

Another person sees the same things and stops.

We often explain this difference through willpower, personality, habits, or environment.

But take the question one level deeper, and another problem emerges.

Why do thoughts become actions for some people?

And there is a more important question.

Why do some people keep acting and learning from reality’s feedback, while others receive the same feedback but cannot sustain their actions?

That is the focus of this essay.

1. Thought Itself Does Not Change Reality

Ideas alone do not change reality.

The process of changing reality looks roughly like this.

Stimulus → valuation → action initiation → effort → outcome → feedback → learning → behavioral adjustment → renewed action

Repeated, this process magnifies small differences.

The difference between someone who acts once and someone who acts ten times is small at first.

But at a hundred times, or a thousand, the story changes.

Long-term results therefore depend not only on how good your ideas were, but on how reliably you turned thoughts into actions and connected what those actions taught you to the next action.

I would like to call this process the transition to action.

This is not a single, established term in psychology. It is a concept intended to bring existing research together within one framework.

2. This Is Where Dopamine Enters

Dopamine is often called the “pleasure chemical.”

But modern dopamine research is far more complex.

Dopamine is involved not only in reward, but also in behavioral activation, effort expenditure, cost-benefit evaluation, reinforcement learning, and action selection.

Salamone and Correa’s 2024 review in the Annual Review of Psychology describes dopamine as a component of core motivational circuits involved in behavioral activation and effort expenditure.

The crucial point is that this does not mean “more dopamine is good, less is bad.”

The question is how the signaling works.

How much value is assigned to a particular action?

How much cost will someone bear to act?

How quickly do they change strategy when outcomes differ from expectations?

These questions matter much more.

3. And D2 Becomes Interesting

Dopamine has several receptors.

Among them, D2 signaling is particularly interesting.

In a 2011 human experiment by van Holstein and colleagues, the dopamine agonist bromocriptine improved cognitive flexibility under certain conditions, and the D2 receptor antagonist sulpiride blocked that effect.

The researchers interpreted this as strong evidence that D2 signaling contributes to human cognitive flexibility.

The important word here is flexibility.

Changing reality takes more than charging relentlessly in one direction.

When you are wrong, you must change.

When the market responds differently, you must change the product.

When a hypothesis is wrong, you must discard it.

When a strategy fails, you must try another.

Changing reality therefore requires persistence and flexibility at the same time.

That is what makes D2 research interesting.

4. More Direct Evidence Has Emerged

A 2026 double-blind human study by Jarvis and colleagues went a step further.

It compared the D2 receptor antagonist sulpiride with a placebo in 42 healthy young adults, who performed a learning task requiring them to consider effort costs and expected rewards.

The results are interesting.

Under the placebo condition, effort level modulated the learning rate.

Under D2 blockade, that effect disappeared.

In other words, “making an effort” and “learning” do not simply exist separately;

the very connection through which effort influences learning could be impaired by D2 blockade.

This result comes quite close to my hypothesis about the transition to action.

Because the actions of someone who changes reality are not merely actions.

They act.

Then they observe the results.

They use those results to change their next action.

They act again.

In other words,

action → effort → outcome → learning → adjustment → action

forms a loop.

The 2026 study shows that D2 signaling may have a causal role in at least one part of that loop: the connection between effort and learning.

5. Then What Is “Persistence”?

What we casually call persistence is probably not a single ability.

You have to initiate action.

Maintain attention.

Invest effort.

Endure failure.

Interpret results.

Change strategies when necessary.

And start again.

Persistence is therefore less like a single switch than a recurring system connecting multiple neural and cognitive processes.

From this perspective, “a strong-willed person” is too shallow an explanation.

The deeper questions are these.

Why does that person keep judging action to be worth its cost?

Why do they connect feedback to behavioral adjustment?

Why do they put that adjusted behavior into practice again?

The dopamine system is connected to many of these questions.

6. This Does Not Mean D2 Determines Success

Here we must draw the most important distinction.

“D2 matters” and “D2 determines success” are entirely different claims.

Current research does not justify the latter.

D2 alone cannot explain intelligence.

D2 alone cannot explain deep engagement.

D2 alone cannot explain genius.

D2 alone cannot predict entrepreneurial success.

Rather, dopamine’s effects can vary with baseline state, circuit, task, dose, and other factors. Motivation also involves many neurotransmitters and brain regions beyond dopamine.

Paradoxically, then, the stronger claim is the more careful one.

D2-related dopaminergic signaling may be an important component in converting the same stimuli into goal-directed behavior, connecting effort with learning, and adjusting behavior in response to feedback.

This is not yet a complete theory.

But it is a hypothesis well worth testing.

7. What Particularly Interests Me Is “Sensitivity”

We need one further, more precise distinction here.

Receptor numbers and sensitivity are not the same thing.

How many D2 receptors exist, how available they are, how responsive a circuit is to dopamine signaling, and what the baseline dopamine state is are separate questions.

To use “D2 sensitivity” as an actual scientific variable, we must first define clearly how to measure it.

Human research has not reached the point where it can precisely measure an individual’s D2 sensitivity as a single number and predict their future achievements.

But that is precisely why it is worth studying.

8. There Is a Particular Moment When Thought Becomes Reality

I believe continuity matters more than thought itself.

A thought appears.

That thought becomes action.

Action produces an outcome.

The outcome produces new information.

New information changes the thought.

The changed thought becomes action again.

As this continues, a person becomes more than “someone who thinks”: they become someone who continually updates their behavioral policy through interaction with their environment.

Given enough time, they have changed more than themselves.

The reality around them changes too.

Products emerge,

organizations emerge,

money begins to flow,

people’s behavior changes,

and new systems are created.

9. Why Small Neurological Differences Can Become Vast Differences in Reality

Suppose this.

One person is just slightly more likely than another to convert a stimulus into action.

If that difference appears once, it means little.

But what if it repeats every day?

The number of actions differs.

Different numbers of actions produce different amounts of experience.

Different amounts of experience produce different amounts of learning.

Different amounts of learning change the quality of the next action.

That, in turn, widens the difference in the probability of acting.

This becomes a cumulative feedback system.

Over the long term, a small initial difference can therefore grow into an enormous one.

It is important to emphasize that this cumulative model is not itself experimental evidence about D2.

It is a theoretical model for connecting D2 research with research at the behavioral level.

10. This Raises New Questions About “People Who Change Reality”

We usually ask successful people:

“What were you thinking?”

“What strategy did you use?”

“How intelligent were you?”

But there may be more fundamental questions.

How quickly did that thought become action?

How long did you sustain the action?

How quickly did you update after failure?

How quickly did you put the updated strategy into action again?

These questions frame success in terms of the performance of an action-learning loop, rather than “good ideas.”

11. And This Matters More in the AI Era

AI keeps lowering the cost of producing information.

Getting ideas has become easier.

Researching information has become easier.

Writing code has become easier.

Creating documents has become easier.

What, then, becomes scarce?

Execution and choice.

As AI gives everyone more possibilities, differences between individuals and organizations in their ability to turn possibilities into actual outcomes may become even more important.

Recent research analyzing corporate ChatGPT usage also emphasizes the gap between technical capability and actual use and impact, noting that real effects vary by user, task, and implementation.

Ultimately, having AI and changing reality through AI are different things.

Access to tools may become equal.

The systems that connect tools to action may not.

12. This Hypothesis Is Therefore Still Open

I would put the question this way.

Why do the same stimuli translate into different amounts of action and learning for different people?

And the next question is:

Can D2-related dopaminergic signaling explain some of those individual differences?

Current research provides substantial grounds for saying that it might.

D2 is connected to human cognitive flexibility.

D2 blockade can disrupt the coupling of effort and learning.

Dopamine contributes to effort expenditure and behavioral activation.

But the straight line “D2 sensitivity → persistence → success” has not been demonstrated.

Countless variables lie in between.

That is exactly what we need to measure.

13. The Strongest Form of the Hypothesis

The strongest hypothesis I propose is therefore this.

Individual differences in D2-related dopaminergic signaling will contribute in part to how much the same stimuli translate into goal-directed behavior, to the coupling of effort expenditure with action-outcome learning, and to the efficiency of feedback-driven behavioral adjustment. Repeated over time, these differences may accumulate into long-term differences in action, learning, and performance.

This is not an argument that “D2 determines everything.”

It is the opposite.

It is an argument for treating D2 as one key component in an action-learning system and measuring its explanatory power through actual behavioral data.

Finally

People do not change reality at the moment a thought appears in their heads.

They do so when that thought becomes action.

And what matters more than a single action is what follows.

Acting,

observing the outcome,

learning,

changing,

and acting again.

As that continuity accumulates, thoughts leave their mark on reality.

We cannot yet fully explain that continuity.

But experimental evidence already exists that dopamine, particularly D2-related signaling, may explain part of the process.

So the question is no longer simply

“Who has stronger willpower?”

That is not enough.

The more scientific question is:

“Who more efficiently converts the same stimuli from the world into a continuous process of action, effort, learning, and adjustment? And what is the neurobiological basis of that difference?”

Perhaps a person’s ability to change reality

is less about the magnitude of their thoughts

than about the neurological continuity that turns thought into action, action into learning, and learning back into action.

And if D2 forms part of that continuity,

that is a rather important research question.

Verification Notes

I have distinguished the essay’s broader claims from what current evidence directly supports.

• Areas with strong direct evidence: the relationship between D2 signaling and human cognitive flexibility; the causal relationship between D2 blockade and effort-learning coupling; the relationship between dopamine and effort/behavioral activation.

• Integrative inference: viewing stimulus → action → effort → feedback → learning → renewed action as one “transition to action” loop.

• What still needs testing: how much individual D2 sensitivity explains long-term persistence, deep engagement, and performance.

• What current evidence does not support and this essay does not claim: a single-cause theory in which D2 sensitivity determines intelligence, genius, or success.

Key Sources

• van Holstein, M. et al. (2011). Human cognitive flexibility depends on dopamine D2 receptor signaling. Psychopharmacology, 218, 567–578. DOI: 10.1007/s00213-011-2340-2.

• Salamone, J. D., & Correa, M. (2024). The Neurobiology of Activational Aspects of Motivation: Exertion of Effort, Effort-Based Decision Making, and the Role of Dopamine. Annual Review of Psychology, 75, 1–32. DOI: 10.1146/annurev-psych-020223-012208.

• Jarvis, H. et al. (2026). Dopamine D2-receptor blockade in humans disrupts the effect of effort on learning. PLOS Biology, 24(4), e3003765. DOI: 10.1371/journal.pbio.3003765.

• Matzel, L. D., & Sauce, B. (2023). A multi-faceted role of dual-state dopamine signaling in working memory, attentional control, and intelligence. Frontiers in Behavioral Neuroscience.

• Westbrook, A., & Braver, T. S. (2016). Dopamine Does Double Duty in Motivating Cognitive Effort. Neuron.

• Periche-Tomas, E. et al. (2026). Neurochemical drivers of effort: The roles of dopamine and beyond in physical and cognitive exertion. Neuroscience & Biobehavioral Reviews.

• Pennington, B. et al. (2019). The effect of ANKK1 Taq1A and DRD2 C957T polymorphisms on executive function: systematic review and meta-analysis.