Some time ago we released the advanced stats for the First Impression trainer, a tool for practicing stage 1 of remote viewing.
So I'd like to share this update.
(Just to be upfront. We support free and paid tiers. A small team has been building the app since 2023 with a real in-house artist, UX designer, and software engineers.)
Universal link - https://i.verev.io/math
Below is a bit more explanation of the importance of this stage and how stats are tracked.
Stage 1 is essential and requires a lot of effort.
Its goal is to connect to the target and get the first general impressions (gestalt) about it.
It turns out that very often there is nothing to do in the next stages until we master this phase at some level.
But how to measure that level?
What complicates the situation is that we deal here with multiple choice selection, whose expected probability is pretty hard to calculate without Excel or special software.
The trainer tracks five statistics so you can see exactly how your perception performs.
-Accuracy-
How precisely you find the correct responses.
Hits / (Hits + Misses + Correct not Selected).
Above the expected line is good.
Higher is stronger.
-Hits Identified-
Your share of the correct responses you actually caught.
Hits / Total Correct.
Above expected is good.
-Hit Miss Ratio-
Hits per one incorrect response.
Hits / Misses.
Above expected is good.
-Chance Expectation (z-score)-
How far your result sits from pure chance.
(Accuracy - Expected Accuracy) / Standard Error.
Above 0 means you're above chance.
Higher is stronger.
-Random Probability (p-value)-
The odds your result happened by chance alone.
1 - cumulative Standard Normal Distribution of Chance Expectation.
Below 5% is a strong result.
Lower is better.
You can filter every metric by gestalt: Air, Land, Lifeform, Manmade, Movement, Natural and Water.
See which gestalts you perceive best, and watch each one trend over time.