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⸺ ‡if You were to check on Me during : 00:17‒00:27 PM , 01:23‒02:15 PM , & 02:20‒03:15 PM the chances of You finding Me asleep would be above 50 % and You’d — with a 60 % chance — find Me sleeping at 01:45〜02:00 PM ,
⸺ & ‡You are Least likely to find Me asleep when time is in the 11 PM〜04 AM‑range.

†Matrix : [ 0–0.5 HRS , 0.5–2 HRS , 2–4 HRS , 4–6 HRS , 6–8 HRS , 8–12 HRS , 12–24 HRS ]
‡Chart :

More interestingly ;
⸺ at a Given dꜽ It’s More likely than not for Me to drift +2.3849 HRS/DꜼ in My schedule ,
⸺ Mine R² is around 0.8443 — meaning the Linear drift explains about 84 % of the variation ,
⸺ My Residual ſtandard‑deviation is ≈9.1 hrs — meaning :— although the trend fꜹors the Dis‑alignment there are moments of Non‑uniformity ,
⸺ this means that for Me You’d see Me rather sleep 1‒2 hrs later than I Last slept.

Chart :



†„ Mid‑point Un‑wrapped in HRS „ means Middle point of Each ʆleep‑period — stretched out beyond 24 HRS and basically means ‘ow much My Circadian‑rhythm has drifted , „ Linear fit in HRS/DꜼ „ is the General trend.
‡Although the General trend is in Constant increase , Private blocks After‑wards of 20 dꜽs are showing signs of changing from Incredibly‑fast drift to More reasonable levels.

How'd you get all this sleep information?

For Every‑one who ‘ates My Long writings even though I broken a Basic Comma‑list with Line‑breaks , I shall present Ye a shorter version with an analogy : I am a Quantum particle in a ʆuper‑position until measured and even if You measure again My Wꜹe‑function’s Collapse chance to the ʆame state You measured 24 HRS ago is same as what It was 22 HRS ago.