# CrossValidated vs DataScience: what is different? [duplicate]

Probably it will be off-topic, but anyway I really want to know the difference between this forum and Data Science forum? The both communities are the subparts of StackExchange and at the moment I don't see the reason to split the Data science questions in the two parts (consequently to provide two different communities)...

• My guess it's probably the name. CrossValidated is quite an obscure name. A casual browsers might not see the connection to Statistics or to DataScience. Its a shame really, because good Data Science must absolutely be concerned with the theory and application of various probability models & statistics. – Assad Ebrahim Dec 3 '14 at 8:31
• @Assad, CrossValidated is obscure but Data Analysis & Statistics is not. It is pity to some extent that new fashionable disciplines such as Data Science and, earlier, Data Mining, try to promote themselves at the expense of Data Analysis by partly duplicating it. – ttnphns Dec 3 '14 at 9:09
• I suppose this will soon be obsolete because DataScience.SE seems bound to fail (unless something unforeseen happens). See area51.stackexchange.com/proposals/55053/data-science – Momo Dec 4 '14 at 21:13
• Cross Validated vs Data Science: i.redd.it/5193db0avbey.jpg – Imran Dec 18 '17 at 14:53

• I have to wonder about SO. In some ways it looks dysfunctional to me with $\sim 10$K votes to close (not so long ago it was more like $100$K, until the number was cut arbitrarily). It works not so badly when it behaves as almost closed sub-communities. Presumably surveys show that many people prefer all the questions of some interest to them together in one place (and all the others elsewhere). Setting up DS was based on a deliberate decision that such questions don't fit in here, it seems. – Nick Cox Dec 3 '14 at 20:09