The challenge is that we're building a site targeting multiple groups. I accept that the front page should aim to attract new users (although I think a footer with a sitemap could help those of us wanting quick access too). Many other pages are for experienced users. For reference, here is the June google analytics report [1]. Unfortunately, it just confirms the challenge. Returning Visitors and New Visitors constitute an exact 50/50 split of our visitors.<div>
<br></div><div><div><div>[1] <a href="http://cims.nyu.edu/~agarwal/download/Analytics%20ocaml.org%20Audience%20Overview%2020130601-20130630.pdf">http://cims.nyu.edu/~agarwal/download/Analytics%20ocaml.org%20Audience%20Overview%2020130601-20130630.pdf</a><br>
<br><br><div class="gmail_quote">On Fri, Aug 9, 2013 at 8:18 AM, Daniel Bünzli <span dir="ltr"><<a href="mailto:daniel.buenzli@erratique.ch" target="_blank">daniel.buenzli@erratique.ch</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Le vendredi, 9 août 2013 à 12:25, Amir Chaudhry a écrit :<br>
<div class="im">> How is it misleading when ocamlfind *is* the most downloaded package in opam?<br>
<br>
</div>Presenting this information leads you to misleadling *conclusions*, superbly witnessed by the semantic slip that has been made from (not only inaccurate) download count to popularity. Good analytical design should *inform* you (lead you to scientifically correct conclusions), not *mislead* you.<br>
<div class="im"><br>
> Or are you disputing that?<br>
<br>
</div>What I'm disputing is the general trend among programmers of using crap metrics/data to derive crap inferences that lead to flawed conclusions. It is my hope that a website presenting OCaml can get over those gimmicks and have intellectually satisfying content.<br>
<div class="HOEnZb"><div class="h5"><br>
Best,<br>
<br>
Daniel<br>
<br>
<br>
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