RU

How it's computed

Positive share
Positive reviews divided by all reviews over the smoothing window, as sums rather than an average of daily shares: a day with three reviews doesn't weigh as much as a day with three thousand. The window follows median volume: the quieter the game, the wider the window - from 3 to 29 days.
Game's baseline
Median of the smoothed share over the previous 90 days. Not the all-time average: games change, and the baseline moves with them.
Big events
Milestones, major updates and announcements, as labeled by the model from game news; without labeling - expansions, seasons and patches whose notes are several times longer than usual for the game. Several posts about one release within three days count as one event.
Reaction to an event
The week after an event vs the week before: shift of the positive share with a 95% interval, growth in total and negative reviews. “Players loved it” or “mood dipped” means a shift of at least 2 pp and more than two standard errors after correcting for the game's noise; otherwise “no notable reaction”. For labeled games - also the topics whose criticism shifted by 5 pp or more.
Quakes
Days when the average share over the next 7 days differs clearly from the previous 7. A quake near a major event becomes part of it; a quake with no event stays in the log only if the shift passes the same noise check. Timing is a hint, not proof of cause.
Game noise
How much more the daily positive share jumps around than pure chance would allow: big games have their own “moods of the day” - weekends, streams, waves of coverage. Every estimate divides the evidence by this noise, otherwise for a game with thousands of daily reviews any trifle would look significant.
Weekly shake
The last 7 days against the 90 before them. Mood is the share of positive reviews and its shift from the baseline, significant after accounting for noise; activity is reviews per day against the usual level. "Tremor" means a shift of 2 pp or more at 2σ, or 1.8× the usual reviews; "quake" means 5 pp or more at 3σ, or triple the reviews.
Words
Share of reviews with a word over the period vs the 90 days before it, with add-one smoothing so rare words don't shoot up. English and Russian stop words are dropped; other languages are left out.
Model labeling and analyses
The model tags a review with catalogue topics marked “praised/criticized”. A sample is labeled - up to 30 reviews a day, more on shaking days - so topic shares are of labeled reviews. Event analyses and monthly digests are written by the model from ready numbers in both languages at once, and code checks every number, every supporting review and that both languages say the same thing; anything that fails isn't shown.

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Статистика за 30 дней

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