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Yes. Currently it is based on reddit, facebook and twitter. SBD has the data but STEEM doesn't, although it should update in a day or two. I also persuaded them to change the twitter data to use the @steemit twitter instead of @steemchain. That will boost the community rankings. Perhaps one day we will be big enough that they will use steem tags to measure all cryptos community rankings... ;)

It seems like our own social network works against us there. Steemit.com activity and traffic massively outdoes the reddit traffic on all other cryptos including Bitcoin, but there isn't much Reddit.com/r/steemit traffic for obvious reasons (why post there when you can post here and get payouts..?).

Facebook and Twitter stats could be seriously improved.

I always try to drop mine there. Good advertising for the platform as a whole.

How do I view the stats page? I'm getting 404's when I add /about/traffic like I used to to subreddits...

I think it's only viewable by the mods afaik

Aww :-(

Reddit used to be way more transparent. Not liking this trend.

Indeed. I had been thinking the same thing. However we have to recognise that bitcoin and ethereum are popular tags on steemit. It would be nice if having a steem tag was one of the 'Community' metrics measured. Perhaps number of posts in past 24hrs or week? CoinGecko would need some easy way of getting the stats they need that way. If we have more bitcoin posts per day than facebook, they should be using us anyway.

Bitcointalk has 1.2 million posts in the Bitcoin forum, and 0.9 million in the altcoin forum, making it even more complex (it is really a crypto forum, not just Bitcoin, and Steemit is more than just Steem as well).

In fact, the Bitcointalk forum with the most posts by far is Altcoins - Announcements with over 4.3 million posts.

This is the problem with complex metrics. People rightly criticize Market Cap for being a simplistic way to measure the competitive position of a cryptocurrency, but when you try and make more complex metrics, you end up diving deeper into the nuances of the problems with each part of the metric. A collection of simple metrics is preferable to complex aggregate metrics that inevitably end up reflecting favoritism or are still just easily gamed.