>> I mean there is a reason why the phrase "statistically significant" is often used. Not sure if this is meant to be satire / sarcasm? By "classically" train

>> I mean there is a reason why the phrase "statistically significant" is often used. Not sure if this is meant to be satire / sarcasm? By "classically" trained statistician, i meant someone who has taken a bunch of grad level courses in statistics (as opposed to CS flavoured ML). A lot of Fisher's and Gosset's work was done in an era of "small" data. >>if you can figure out how a "classically" trained statistician can create an acurate model with: >>1) almost no data >>2) inaccurate data >>3) seasons in which the next one often bears no resemblance to the previous one Stats / ML can't help much with 1) and 2). But wrt 3), dealing with issues of non-stationarity is very much a subject of statistical literature.