3 ms·

If done properly that's still a useful result. "None of the variables were predictive of X."

• hobofan 10y ago
  And it's much less useful cousin hiding in the shadows "The variables are actually predictive of X, but you don't have enough data that it shows". (The chance for which isn't that big when done "properly".)
  • huac 10y ago
    At least in online contexts, this often means 'there might be an effect, but it is smaller than our experiment could have predicted. Let's keep adding samples.'
    • angry_octet 10y ago
      '... until we get the answer we're expecting'. Just expecting an effect is a bias towards outliers. http://doingbayesiandataanalysis.blogspot.com.au/2013/11/optional-stopping-in-data-collection-p.html?m=1 http://doingbayesiandataanalysis.blogspot.com.au/2013/11/opt...