I had an idea. Their site lists 625 people or groups who they have rated at least once. Going to any person's page gives statistics on numbers of different ratings. I made a script to scrape the site for these stats then found some averages. As there are six ratings, I assigned a score of 7, 6, 5, 3, 2, or 1 to each. Note the missing four. I feel there is a division between the top three and bottom three.
Also, I did something which I've been thinking about for a while. It bothers me whenever you sort a list by ratings and the top items are always the ones that have gotten a single maximum rating. I've long thought that an easy way to combat this would be to start each item off with a hard coded middle rating. In this example of 1-7 that means every person got a single 4 rating to start with. I will say this didn't work quite as well as I had expected. It still got the single ratings down a bit. However, I think due to the nature of these ratings, which tend to hover in the middle, it worked less well than it would have for a site where the ratings tended to be closer to the extremes. So, I used the other method of combating the high single ratings. I took only those people that had at least five ratings and looked at just them.
Here is the top and bottom five by average (including the hardcoded four, and only those with five or more total ratings):
Name | Ratings | Avg |
Alex Sink | 12 | 5.85 |
Chris Dodd | 8 | 5.67 |
David Axelrod | 9 | 5.60 |
Dennis Kucinich | 9 | 5.60 |
Ron Paul | 11 | 5.50 |
Average Rating | 2228 | 4.15 |
Rush Limbaugh | 12 | 2.92 |
Republican Party of Florida | 6 | 2.86 |
Chain e-mail | 82 | 2.33 |
Bloggers | 11 | 2.17 |
Michele Bachmann | 10 | 1.82 |
Here's the data:
http://daleswanson.org/blog/truthmeter.ods
http://daleswanson.org/blog/truthmeterresults.csv
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