Open data, followed all the way down to one person inside it.
Every piece here starts with a public dataset and ends with a story. The numbers can be checked: any figure set in mono opens its own evidence in a column to the right, so you never have to leave the sentence you are reading to find out whether it is true.
open to work
02pieces
02public datasets
271occupations
4,810teenagers
work
files
evidence · screens against sleep
Every correlation is with the 21-item questionnaire total, on the same 4,810 teenagers. r² is the share of the differences between them that the measure accounts for.
screen_time_index · r² 1.8%
+0.1344
sleep_quality_index · r² 14.5%
+0.3806
avg_sleep_hours
−0.2603
Sleep quality accounts for 8× the variance screen time does.
how much of the screen effect travels with sleep
held constant
screen × it
partial r
absorbed
avg_sleep_hours
−0.2563
+0.0725
46%
midsleep_weekend_hours
+0.2865
+0.0968
27.9%
sleep_quality_index
+0.0923
+0.1078
19.8%
social_jetlag_hours
+0.1820
+0.1237
7.9%
Starting from +0.1344. Holding hours slept constant absorbs 46% of it. This is a decomposition, not a causal claim — see the limits note on the piece.