This is great! Nice work @lemuria, love the deep statistical digging.

Some brainstorms that happened as I was reading the article about some ratings-related things the raw numbers would help suss out:

- Are different eras consistently rated higher/lower than others? I'd love to see a histogram (or a bell curve generated using a historgram) of the ratings for shows by era

- Are different years consistently rated higher/lower than others? Same idea as the first one, but by year instead of era.

- Is it possible to drill down to all of the individual ratings of particular shows? If so, are there certain shows that are more "polarizing" than others? i.e. shows whose ratings have a high Coefficient of Variation (or since the ratings scale is a consistent 0-5 for all shows, perhaps all you'd need to do is compare std. deviations). Conversely, are there some shows where the consensus is nearly unanimous and have a very tight cluster of ratings?

- Is it possible to track a show's average rating over time? I would be neat to try and take a quantitative look at "recency bias". Take a few shows that occured after the ratings system was put in place, and then bin the ratings within the first day, days 2-7, days 8-31, and days 31-365, or something like that.

Can't wait until next week's article!