Time
How much time this system has recorded Sky Hong spending with each connected platform — like a cross-platform stats.fm.
Time by platform
| Platform | Method | Last 24h | Today | This week | This month | This year | All time |
|---|---|---|---|---|---|---|---|
| stats.fm | measured | 3.2h | 2m | 10.2h | 32.4h | 267.5h | 6429.2h |
| YouTube | measured | — | — | — | 50.9h | 536.9h | 4762.5h |
| Backloggd | measured | — | — | — | 1.1h | 25.3h | 50.3h |
| Goodreads | estimated | — | — | — | — | — | ~40.9h |
| Manual | estimated | — | — | — | — | ~4h | ~4h |
| Simkl | estimated | — | — | — | ~4h | ~4h | ~4h |
| All platforms | 3.2h | 2m | 10.2h | ~88.3h | ~837.6h | ~11290.9h |
Where this week went
How these numbers are made
YouTube time comes from per-video watch sessions (extension-measured seconds, otherwise the gap to the next activity capped at the video length). stats.fm time comes from individual stream durations, with week/month/year/lifetime read from stats.fm's full history. Backloggd uses the per-day playtime logged on each game, including its backfilled session history.
Simkl and Kitsu report only lifetime totals, so their time is the growth of those totals between syncs. It accumulates from the day this tracking was deployed and is day-granular, so "last 24h" means today in Taipei.
Attended events count their scheduled start–end span (2 h when no end time was recorded). Books count pages at a ~30 pages/hour pace on the day they were finished. Both are estimates of engagement, not measurements.