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 · the two layers
Left: where each occupation ranks when its exposure is predicted from the 21 abilities it is built from. Right: where it ranks when the dataset rates the occupation whole. Same 271 jobs, two measurements. Orange lines rise, blue lines fall.
A correlation of −0.367 is not a weak relationship — it is an inverted one. The thick orange line is Writers and authors, moving from rank 267 to rank 4.
consistency test
r (pearson)
−0.367
R²
0.135
variance unaccounted for
86.5%
n
271
largest disagreements, both directions
occupation
predicted
rated
gap
Writers and authors
-0.057
0.774
+0.831
Public relations specialists
0.020
0.788
+0.768
Models
-0.220
0.400
+0.620
Urban and regional planners
-0.036
0.580
+0.616
…
Automotive service technicians and mechanics
0.757
0.073
−0.684
General maintenance and repair workers
0.787
0.078
−0.709
Janitors and building cleaners
0.746
0.028
−0.718
Everything predicted too safe works through words. Everything predicted too exposed works through objects.