- On average, 38% of their posts have been in the Lounge. In fact, if I sampled any 5 of them sequentially based on their rating, the average Lounge post percentage (LPP) only varied by a point or two
- 10 of them have a LPP of less than 10%
- Only 15 of them have a LPP over 50%. Only 3 of those people are in the top 20.
- They have an average LPP of 65%
- 5 of them have a LPP of less than 10%
- 36 of them have a LPP over 50%. 17 of them were over 90% (with 7 at 100%).
The sample was created by examining posts made after the rating system was introduced. The 10,000 most active users were chosen (since they were most likely to have been seen and rated), excluding staff, moderators and the anonymous poster. The first graph shows the percentage of a user's posts in the lounge compared to their average rating. Posters on the extreme left have never seen the lounge (0% of posts in the lounge), while posters on the extreme right always post in the lounge (100% of posts in the lounge). The vertical shows the average rating of posters in a given percentile. As you can see there is a correlation between where the users post and what their rating is – those who post in the technical forums have stable ratings higher than 1000. Those who post in the lounge seem to receive both more positive and more negative ratings, resulting in a wide degree of variation, and many more extreme positive and negative ratings. Next we see the number of posts overall, compared with the user's average rating. The position (1 to 99) is the percentile of their number of posts compared to the rest (this way the data is spread out, rather then compacted to the low post count side of the chart). Users in the 99th percentile (right side) are those with thousands of posts. You can see that as the number of posts increases, the rating also increases right from the start. Next we see the same graph, but only counting posts in the lounge. Here posts in the lounge do not have any measurable effect on ratings up until the 85th percentile. At the 90th percentile, there is suddenly a rapid jump in ratings that extends about 100 points past the high reached by regular posters. The same two graphs can also been seen as pure data. First all posts, then lounge posts. Again we see that when comparing post count to rating we get a smooth curve, while the lounge post count to rating correlation is almost non-existent (though percentage seems to as seen in the very first graph).