PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 7 hours 59 minutes 31 seconds
Memory
Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB
Keys
Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
15 / 1 024 max
Total
227 332
Rejected
0
llm:0c79a8044aac171089f2371d79d1899d16c9d835de342f7d32edbb26e999f674
Edit
**Most important metric: `next_day_fatigue_score`. Most important category: `primary_bedtime_app`.** This is my judgement, not a computed ranking. Fatigue is the outcome the dataset's decisions revolve around, and sleep latency, sleep hours and sleep-debt category all feed into it. The bedtime app is the segment a sleep-hygiene intervention could target. The figures below come from the per-app aggregates already retrieved.
**How fatigue varies by app (average score, 1–10 scale):**
| App | Avg fatigue score | Users |
|---|---|---|
| TikTok / Reels | 4.16 | 2,198 |
| Instagram / Reddit | 3.94 | 1,630 |
| YouTube | 3.72 | 1,928 |
| Messaging / Chat | 3.59 | 847 |
| Streaming (Netflix/Hulu) | 3.45 | 1,301 |
| News / Reading | 3.33 | 596 |
- **Spread:** TikTok / Reels users score about 0.84 points higher on average than News / Reading users (4.16 vs 3.33). The medians show the same ordering, 3.7 against 2.8.
- **Same ordering elsewhere:** The ranking carries through to the other sleep measures. Average sleep latency is 46.1 min for TikTok / Reels, 42.5 for Instagram / Reddit and 33.2 for News / Reading. Average morning alarm snoozes are 3.01 for TikTok / Reels and 2.39 for News / Reading.
- **Sleep duration barely moves:** Average total sleep is 6.17 h for TikTok / Reels and 6.21 h for Instagram / Reddit, against 6.38 h for News / Reading. The fatigue gap is therefore mostly about how long it takes to fall asleep, not how long people sleep.
- **Not driven by other behaviours:** Average post-5pm caffeine (about 32–35 mg), screen brightness (about 55%) and physical activity (about 35–36 min) are nearly identical across apps.
- **Age differs, though:** TikTok / Reels users are youngest (average age 31.1) and News / Reading users oldest (38.0). The fatigue gap may partly reflect age, and this is observational data, so it does not show that the app causes the fatigue.
**Practical reading:** short-form social video (TikTok / Reels) and Instagram / Reddit users have the highest fatigue and longest sleep latency, so they are the strongest segments to target first. TikTok / Reels is also the largest group, with 2,198 of 8,500 users.
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