Do you agree with this Nate Silver quote?

"If you want to be a good data scientist, you should spend \~49% of your time developing your statistical intuition (i.e. how to ask good questions of the data), and \~49% of your time on domain knowledge (improving overall understanding of your field). Only \~2% on methods per se."

Nate said this back in 2019, but has repeated it in various ways since. What do you think?

data datascience data scientist domain knowledge good intuition knowledge per questions spend statistical understanding