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Your data is misrepresenting you

Every system that decides something about you works from a partial, stale, second-hand version of who you are. The fix is not more data collection. It is a representation you author.

By Prifina

Somewhere there is a version of you assembled from records: purchases, addresses, inferred income, inferred interests, a credit history, a handful of categories a model put you in. Decisions get made from it.

It is wrong. Not maliciously, structurally.

Why it is always wrong

  • It is partial. It contains what happened to be captured, which is whatever crossed a commercial system, not whatever mattered.
  • It is stale. Categories assigned years ago persist long after they stopped describing you.
  • It is inferred. Large parts of it are guesses about you from people like you, which is a statement about a population, not about you.
  • It is uncorrectable. You mostly cannot see it, and where you can, correcting it in one system does nothing to the copies.

The most consequential version of this is professional. Your public record is a CV, a LinkedIn profile and whatever search returns. It captures job titles and dates. It captures almost nothing about how you think, which is the only thing anyone actually wants to know before working with you.

The instinct that does not work

The usual response is to demand better data governance: accuracy rights, correction procedures, audits. These are worth having and they do not solve it, because they are corrective. They let you argue with a representation someone else built about you, one system at a time, forever.

The alternative: author it

The other move is to produce an authoritative representation yourself and make it the thing people encounter.

This is not spin. It is the difference between being described from records and being described from your own work. An AI Twin grounded in what you have actually written and done answers the how do you think question directly, in your terms, from material you selected.

It does not delete the inferred version. It competes with it, and it wins on the questions that matter, because it can answer them and the inferred version cannot.

Why it has to be yours

A representation authored by you but owned by someone else is just a nicer-looking version of the same problem. If the operator can change it, mine it, or fold it into a model, then you are back to a description of yourself that you do not control.

So the requirements are unglamorous and specific: you choose the material, you can change it, you can see what it says, you can revoke access, and nobody trains on it.

Get those right and you have the first honest answer to a problem that has existed since the first credit file: a version of you that you wrote.

This piece revisits an earlier essay from our Medium archive: Your data is misrepresenting you (https://medium.com/prifina/your-data-is-misrepresenting-you-and-how-we-stop-it-2434516299a7).

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