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May 2026

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5 min read

A population that has something to lose

Our synthetic personas could reason about almost anything. The one thing they could not feel was the weight of a price. That gap was quietly distorting everything, so we closed it.

A survey costs the respondent nothing. That is the reason so many of them lie.

Ask a thousand people whether they would buy something and most will say yes, because saying yes is free. Watch those same people at the moment of paying and a different person shows up. The distance between what someone says and what they will actually give up has been the quiet failure point of research for as long as research has existed. Until recently, it was the failure point of synthetic research too.

We build synthetic societies. Populations of personas at scale that can be asked questions, placed in situations, and observed as they respond. These personas have become very good at reasoning about people. They hold preferences. They carry identity, mood, history, and the social pressure of everyone around them. Ask one what it thinks and you get an answer that is coherent, specific, and recognisably human.

The gap we kept hitting

Then we ran a serious block of retail work, and the same limitation surfaced again and again. The personas understood intent. They understood logic. They understood why a person might prefer one product over another. What they could not do was feel what a thing cost.

Ask a resident which of two products it preferred and the answer was sharp. Ask which it would actually buy at a given price, and that confidence dissolved into noise. The reasoning about value was thin, because to a persona with an unlimited and invisible balance, value is an abstraction. There was no budget to protect. There was nothing at stake. And a decision with nothing at stake is not really a decision.

What was missing was scarcity

The problem was never intelligence. It was consequence.

People reveal what they believe through what they are willing to spend, whether in money, time, attention, or risk. Economists have a clean name for the difference: stated preference versus revealed preference. People say one thing. Their wallet says another. The wallet is almost always closer to the truth.

A synthetic society without an economy can only ever produce stated preference. It can tell you what its residents claim they want. It cannot tell you what they would trade to get it, because trading requires something finite to trade with. To close the distance between claim and behaviour, the population needed scarcity.

Introducing zeldaCoins

So we gave our residents an economy.

zeldaCoins are a working currency inside the society. Every resident holds a balance. Every resident faces a cost of living. Wants now compete against one another for a finite pool of coins, which means choosing one thing carries the real cost of not choosing another. Purchasing intent stops being a statement and becomes a trade-off a resident has to make and then live with.

The effect is immediate. Value turns into something a resident spends rather than something it describes. Price sensitivity emerges on its own, because price now actually hurts. Willingness to pay becomes observable rather than asserted. The behaviour moves much closer to how a real person navigates a real purchase, which is the entire point.

Why this sits at the persona layer

The decision I care most about here is where the economy lives.

We did not bolt coins onto a single product. The economy sits at the persona layer, inside the same foundation every one of our products draws from. That means every persona we run inherits it at once. A society that was already good at reasoning about people now reasons about people under cost, in every context we put them in.

Simulation is the first wave of what we are building, not the whole of it. A change at the persona layer is the kind that compounds, because everything downstream becomes quietly more honest. One adjustment, felt across the entire portfolio.

What this changes for the questions you bring us

If you work in pricing, demand, product, or policy, the practical difference is simple. You can watch a population make decisions under real constraint, rather than asking it to predict its own behaviour, which people are famously bad at.

You can test a price and see who walks away. You can introduce a cheaper alternative and watch the trade-offs cascade through the population. You can tighten budgets and observe what gets cut first, and in what order. These are revealed-preference questions, and revealed preference is where the real signal has always lived.

What comes next

A population that can hold money, protect a budget, and feel the cost of a choice is a population with something to lose. In our experience, that is exactly where the genuinely interesting behaviour begins.

And once a population has coins, the obvious next question is what they will do with them. More on that soon.

If you have a pricing or demand question you want answered by a population that behaves under cost rather than one that simply talks, we should have a conversation. Thirty minutes, no commitment.

Synthetic PopulationsEconomicsRevealed PreferencePricingPersona Layer

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