cafebeen

22 ms·

1. 211.▲
   by cafebeen 12y ago

   Also, most academic and research scientists manage a team of students and post-docs who do the actual lab work/analysis/writing. The article's description of a "software scientist" might be more accurately named &q
2. 212.▲
   by cafebeen 12y ago

   Certainly interesting--wish the article mentioned the Pearlian techniques. My issue is with the overstated claims, e.g. "Statisticians have always thought it impossible to tell cause and effect apart using observational data. Not any
3. 213.▲
   by cafebeen 12y ago

   Exactly. They assume this isn't happening, so it's not a very useful idea in practice...
4. 214.▲
   by cafebeen 12y ago

   This isn't as generally useful as the title suggests... due to these assumptions: "that X and Y are dependent (i.e., PXY=PXPY), there is no confounding (common cause of X and Y), no selection bias (common effect of X and Y that is