PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 14 hours 12 minutes 32 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
14 / 1 024 max
Total
239 495
Rejected
0
llm:6838be46102085109e339e77360ab068a1a941c16e24470d3629bf1bb870ab2c
Edit
**The most counterintuitive finding is that late caffeine barely changes how long people sleep, but it strongly cuts deep sleep.** Across all 8,500 users, post-5pm caffeine has these correlations (step-7 correlation query):
| Outcome | Correlation with caffeine after 5pm |
|---|---|
| Total sleep hours | -0.04 |
| Deep sleep % | -0.34 |
| Sleep latency | +0.20 |
| Next-day fatigue | +0.18 |
- **Duration versus quality:** The usual advice ("caffeine cuts your sleep") would predict a clear drop in hours. Instead, duration is essentially unaffected, and the damage shows up in sleep quality. Deep sleep is the most strongly caffeine-linked sleep-architecture measure here.
- **Phone use dwarfs it:** Bedtime phone minutes correlate +0.86 with sleep latency, +0.71 with fatigue and -0.55 with sleep hours. Caffeine is a minor factor next to that.
- **Fatigue tracks duration:** Fatigue is tied to short sleep (-0.88 with sleep hours) and to alarm snoozes (+0.88). Snoozing looks like a symptom of short sleep, not a cause.
**Two other findings that go against expectation:**
- **Exercise shows no link to sleep:** Physical activity has near-zero correlation with sleep hours (+0.004) and with fatigue (-0.03).
- **Blue-light filters do little:** Filter users and non-users differ only slightly (step-3 grouped averages).
| | Filter on (3,976 users) | Filter off (4,524 users) |
|---|---|---|
| Average sleep latency | 39.6 min | 41.6 min |
| Average sleep | 6.33 h | 6.21 h |
The correlations with latency (-0.06) and sleep hours (+0.04) are tiny. Screen brightness is also only weakly related to latency (+0.09). Phone time is what matters, not how the screen is configured.
**Caveat:** These are observational correlations. They don't show causation, and I did not control for confounders such as occupation, chronotype or age.