Yes—in this survey, poor sleep affected 76.7% of people with high sleepiness scores, versus 47.0% of those below the cutoff. The online study surveyed 862 people across several regions of India. These included Rajasthan, Delhi, Jammu & Kashmir, and the Andaman and Nicobar Islands. It compared reported sleep quality with work patterns and daytime sleepiness. The link with Excessive Daytime Sleepiness was clear. Poor sleep quality affected 181 of 236 people above the study’s sleepiness cutoff. Among those below it, 294 of 626 reported poor sleep. That is a gap of nearly 30 percentage points. Sleepiness was measured with eight questions about dozing in everyday situations. Total scores ranged from 0 to 24. The study counted scores of 10 or higher as excessive sleepiness. One detail matters when comparing numbers: its separate severity guide called 0–10 normal. So a score of exactly 10 fell into different groups under those two rules. Work patterns also stood out. Poor sleep affected 67.4% of people doing shift or irregular work. It affected 53.6% of those without that work pattern. This shows a link, not a cause. The survey captured one point in time. It cannot show whether poor sleep came before daytime sleepiness. It also did not test a way to improve either problem. For BioSocial members, the finding makes paired tracking worth discussing. A record of Sleep Duration, perceived sleep quality, and dozing could help frame community comparisons. Work schedules add useful context, too. Comparing notes may reveal patterns that a single nightly number misses. What patterns have you noticed between your sleep quality, work schedule, and daytime dozing?