What 1,830 people got on the Socionics quiz
The quiz on this site has been recording aggregate results since June. Not who took it, not what anyone answered, just which of the sixteen types each completed run landed on. Here is the full picture, and the honest reading of what it means.
| Type | Results | Share |
|---|---|---|
| ILI | 269 | 14.7% |
| IEI | 262 | 14.3% |
| LII | 188 | 10.3% |
| SLI | 180 | 9.8% |
| LSI | 173 | 9.5% |
| EII | 170 | 9.3% |
| SEI | 139 | 7.6% |
| ESI | 125 | 6.8% |
| ILE | 81 | 4.4% |
| IEE | 71 | 3.9% |
| SLE | 42 | 2.3% |
| EIE | 42 | 2.3% |
| LIE | 31 | 1.7% |
| LSE | 27 | 1.5% |
| ESE | 17 | 0.9% |
| SEE | 13 | 0.7% |
The obvious finding, and why it is not what it looks like
Introverted types account for 82.3% of every result. The top two, ILI and IEI, take nearly a third between them on their own. SEE comes last with thirteen.
That is a real pattern in who reaches this page and finishes twelve questions. It is not a finding about how common these types are in the population, and I would not want anyone citing it that way. Online typology audiences have skewed introverted and intuitive in every dataset I have seen, and this one does nothing to break that.
Nearly every result is a close call
94.7% of results came out tied or one point apart on at least one dichotomy. That is 1,684 of 1,779 runs where the flag was recorded.
This is what a twelve question forced choice instrument does. Three questions per dichotomy means the only possible outcomes are 3-0 and 2-1, and 2-1 is a single answer away from a coin flip. The quiz was built as a starting point rather than a verdict and this is the number that proves it. If your result felt borderline, it almost certainly was.
The quadras come out level
Split the same data by quadra and the skew largely disappears.
| Quadra | Results | Share |
|---|---|---|
| Alpha | 425 | 23.2% |
| Beta | 519 | 28.4% |
| Gamma | 438 | 23.9% |
| Delta | 448 | 24.5% |
Alpha, Beta, Gamma and Delta land within a couple of points of each other despite the type level spread being nine to one from top to bottom.
I do not have a confident explanation for that. It may be that the dichotomy questions push hard on the individual axes while leaving the underlying value clusters roughly balanced. It is the finding I would most like more data on.
What this data is
Aggregate event counts from Umami, the privacy-first analytics the site runs. No accounts, no cookies, no personal data, nothing that identifies anyone. The only thing recorded on completion is the resulting type code, whether the run arrived via the quiz or via a shared result link, and whether the result was borderline. 1,826 of the 1,830 were genuine completions rather than shared links.
Snapshot taken 17 September 2026. I will refresh it as the sample grows.
A written analysis works from your full responses and rules out the close alternatives, with the reasoning shown.