the tick labels on this chart
Are outliers winsorized or removed?
Duplicated.
Which vintage?
Stale.
Anika Boone Good catch.
Missing 2019.
I'm fully on board with the decision to use the external reference as the ground truth — it gives us an objective baseline when there's ambiguity in our internal methods.
Is conversion seasonally adjusted across the whole window?
That holds up. See /u/plg_morgase_moreau/p/plot-0083.
See the other chart.
I'm convinced.
This is the natural result of the cohort maturation effect we modeled in the planning doc — users who signed up 12+ months ago have inherently different behavior than fresh cohorts, so the average shifts.
Noted.
Fair point. See /u/plg_morgase_moreau/p/plot-0083.
The époque we're analyzing now — Q3–Q4 of last year — had a different product configuration, so we can't directly compare to the new normal that shipped with the version bump.
Fair enough.
Javier Cairhien I'm convinced.
This lines up with the other chart if you put life expectancy in absolute terms.
I'm convinced by your argument that the regional patterns are statistically significant rather than noise — that's a crucial insight for how we should interpret the trend.
Does this include test users?
Why does Japan dip in 2007?
What's driving the spike in March?