TAMIZ is a behavioural media and information literacy instrument, played as a 16-bit phone game. It measures what people do with deceptive information rather than what they say they would do. The interface is in Ecuadorian Spanish. This page is the doorway: what you are about to play, and the twelve words you will meet on screen.
A review copy: the same twelve messages, the same engine, translated. Seven people have already finished that round — you are the eighth, so when you finish, the group result unlocks and you see what the eight of you produced. It reports nothing to us and no measurement in the submission comes from it.
Eight minutes. No account, no install, works offline.
Three days on a simulated phone. Twelve messages arrive across four surfaces — a messaging app, SMS, email, a social feed — and ten megabytes of prepaid data that do not stretch to checking them all.
You stamp each one, you are asked what made you decide, and then you act: forward, archive, or warn that it is false. Nothing tells you whether you were right. For three days there is no tick, no cross, no score.
At the end you get your own result. If you are playing inside a round, the group result appears only when the eighth person has finished — and never before.
You do not need Spanish to follow the game, but these twelve carry the mechanics. Everything else is a message you can skim.
The twelve messages are threat patterns documented in Ecuador by named sources — bank impersonation, a held parcel, a job offer abroad, a real civil-protection alert. Translating them would not change the language. It would change what is being measured.
An instrument for Ecuadorian young people, written in Ecuadorian Spanish, is not a limitation we ran out of time to fix. It is the design. Every figure in the submission document is translated in its caption, and this page translates the controls — so the mechanics are readable without the stimulus being altered.
Four people answer a survey identically. Each one needs a different response, and none of it survives being asked.
The competency model, the evidence model and the threat surface are published as structured data rather than described in prose. 22 competencies across six areas, 14 of them with a measure attached, over a mapped surface of 40 documented threat patterns.
Every measure carries a novelty field in the data itself, so the claim is checkable rather than rhetorical:
All 22 competencies, all 14 measures with their novelty, the 40 threat patterns and the eight modules — rendered from the same file the instrument reads, with the raw JSON at the bottom of it for machines.
The instrument is designed under Evidence-Centred Design and built — never validated. No external group has played it yet. The submission document says so on its first page rather than leaving it to be found.