Demographics of YC
quantcast.com
quantcast.com
Uh, The boys and I think your algorithm needs a little tweaking.
[1] AKA "The rest of the internet"
(Sorry, I couldn't resist)
Cynical enough to reckon the algorythm skews results on un-paid customers?
This kind of methodology works fine if you are analyzing a very very large site that many people use (facebook, myspace, etc). It's old thinking to think that a panel of people can accurately measure niche content. It might work for nielsen on TV, but it obviously is completely broken for web sites.
Is it in (000)s?
1) My story (mike's too) got on the front page and had some decent discussion. I think 15-20% of uniques reading a featured story is a reasonable estimate.
2) The site is about news and community, so it doesn't make much sense to check infrequently. I'd guess that the uniques/week isn't much below the uniques/month. So it wouldn't matter that the story didn't stay up for a long time.
3) The leaderboard goes up to the top 50, with karma dropping by about 100 per 5 spots towards the end. If you take the rule of thumb that 90% just read, 9% contribute a little, and 1% contribute a lot, then if the top 1% is 50 people, you get 5,000. If it's 70 people, then you get 7,000. I recognize most of the names on the top 50, and I bet I'd recognize half of the top 51-100. So again, 5,000-7,000.
pg, care to give some guidance?