1) The "analysis" is just as broken as it was in February.<p>The "popularity" of most of those languages is being grossly distorted when you convert the "# of Tags" and "# of Projects" data to rankings.<p>The range in rank value for the stackoverflow tags was from 1 to 56, but the range in "# of Tags" that rank is based upon was from 0 to 82,923 and the data was so skewed that only 11 of 56 languages had above average "# of Tags".<p>Haskell was well below average for "# of Tags" and Java was well above average for "# of Tags" --<p><pre><code> #56 Java = 82,923
>>> mean = 18,770 <<<
#40 Haskell = 1,896
# 1 F# = 0
</code></pre>
(The story was the same for the github "# of Projects" rank numbers.)<p>2) Which gives rise to this kind of bad-math "analysis" --<p>"Go jumping from #32 in 2010 to #30 today, a number that sounds modest but means that in that time it has improved more in popularity than Scala or Haskell and as much as Java, at least from a rankings standpoint (obviously growth becomes more difficult the more popular the language becomes)."