Hutch Carpenter had post about what he called the “Friendfeed Likeability Index”, calculated them for a tiny sample of his own likes, and found them pretty good convincing…

And ofcourse a totally hot conversation started off on Friendfeed about this (interestingly, not only on Hutch Carpenter’s original post, but on one that Louis Gray shared).

Now, Friendfeed has a totally hawt bug that prevents any serious data collection (I discovered this to my dismay after building a backend to Friendfeed for my Stats app), so I can analyse only the last 300 likes. Still, there was enough support for it, so I went ahead and built it.

First Target: LouisGray

Obvious, isn’t it? The ‘face of Friendfeed’?

Here is the list of top 25 people who liked the same stuff LouisGray liked:

I’ve followed some new folks with this – notably, Shey, Atul and Susan Beebe. Certainly helps discover new folks. And, not many “A-List” Celebs here – Excepting a few.

Since Scoble comes in at No.4, rumors of Louis and Scoble marrying so that they can “like” each other in public seem to be totally exaggerated (People who do not frequent friendfeed are expected to get the joke by following this link and reading the 6^th comment by Alexander van Elsas)

Secondary Target: Robert Scoble

Shiny new thing hunter, Friendfeed enthusiast, and ofcourse, wants to be at the top of every single list!

Here’s his list:

Note that Scoble is way less similar to other people than Louis Gray – Louis Gray and Shey had 84 likes shared between them, while Scoble and Mitchell Tsai have only 44 between them. I’m not really too sure about how to interpret this (Both have same sample size, last 300 likes). Conducted some additional tests and I now know – Scoble spread out his last 300 likes to 202 users, while Louis spread his out to only 118 users. So, from this sample, it appears that Scoble is actually exploring more people than Louis Gray does. Interesting.

Note that this stuff is pretty non-representative, since the sample is only the last 300 likes from Louis and Scoble. Once FriendFeed fixes that bug, then the “real” analysis will be able to give us more insight. Maybe, more people shouting for that bug to be removed will get that bug to be removed? (wink, wink)

Want to see your “Friendfeed Likes Compatibility Index”? Comment here and I’ll post it as immediately as possible (Am not releasing the .NET Script I wrote since it’s too hacky. Still, if enough people are interested, I’ll clean it up and put it up somewhere)