A large amount of Show HNs are not startups; they are personal projects.<p>Relatedly, using "the startup is not dead" as a metric for <i>the startup alive</i> is a bad idea. People do not shut down everything when a Hacker News submission does not get upvotes (<i>especially</i> in the case of Show HN, where many are hosted on GitHub pages and are free to host, although you account for that in the regression).<p>The regression has a few issues:<p>> It's a classification problem (alive or dead) so OLS doesn't make sense.<p>> Score and Comments are multicolinear and cannot both be in the same model.<p>> You don't answer or give statistics toward "how well" the model predicts.<p>> Related to the comment earlier, you don't comment on the magnitude of the on_GitHub coefficients, which are <i>huge</i> and skew the entire result of the regression!<p>While I always appreciate analyses of HN data, the conclusions raise more questions than answers.