<p><strong>Edit:</strong> </p>

<p>The site has now launched.</p>

<p>Old post:</p>

<p>I lurked around there and want to share my preliminary, biased impression:</p>

<p>Judging from the first few questions there is a lot of overlap and redundancy with SO and CV. Case in point: the five most recent questions were <a href="https://datascience.stackexchange.com/questions/326/python-vs-r-machine-learning">R vs Python</a>, <a href="https://datascience.stackexchange.com/questions/324/how-can-i-extract-news-about-a-particular-company-from-various-websites-using-ro">sentiment analysis</a>, <a href="https://datascience.stackexchange.com/questions/323/how-can-we-calculate-auc-for-a-simple-decision-tree">calculating AUC</a>, <a href="https://datascience.stackexchange.com/questions/321/how-to-extracting-consecutive-columns-from-a-matrix-in-r">extract rows in R</a>, <a href="https://datascience.stackexchange.com/questions/319/number-of-layers-vs-cost-in-a-neural-network">number of layers in neural networks</a>. All these questions have been answered on SO or on CV. Voting behavior tends to be a bit better and currently the fraction of unanswered questions is extremely low. I am not yet comfortable with giving a qualified judgement of the quality of the answers and questions, but they are missing the "knights in shiny armor" that CV undoubtedly has. Preliminarily it appears to me to not be too high, a lot of opinion and hand-waving, less SE like and more discussion forum-ish. But perhaps the "CV-way" is too engrained for me to be fair. </p>

<p>Authentic "data science" questions (i.e. not suitable for CV or SO) seem to be rare and the site seems to tie in mostly with what data science has come to mean nowadays: Data analysis for engineers who have a very narrow (and imo misinformed*) definition of "statistics". In that it is telling that the highest voted question is <a href="https://datascience.stackexchange.com/questions/1/what-characterises-the-difference-between-data-science-and-statistics">The difference between DS and Stats</a> and the top answer pretty much sums that (imo misguided view) up (we older people would call it "computational statistics" and what is listed as specific DS tasks are what we did in grad school since the early 90ies in our statistics curriculum).</p>

<p>*This is certainly also statistics' own fault, especially with respect to how it is traditionally taught. </p>
