Daily Archive: March 29, 2011

Mar 29 2011

A logistical model of the Top 11

I’ve been playing around with the numbers, and am able to get a decent projection model with relatively few assumptions. The model is not yet amazingly statistically significant. Nevertheless, the predictions are interesting.

The model assumes that the primary indicators of elimination are Gender, Slot, and whether or not the contestant scored in the bottom 3 on Dialidol and WNTS. You can download the full data set for Top 11 episodes (S4-S9; male is coded as 1, female as 0, and bottom 3 is 1 for yes, 0 for no). Now, we can use R to get a logistical fit Read the rest of this entry »

Mar 29 2011

New poll: Idol timeslots

This year, American Idol is shown on Wednesday and Thursday nights, rather than the Tuesday/Wednesday showing of yore (naturally the three-day weeks, i.e. during the Top 24, were still Tuesday-Wednesday-Thursday). Personally, I prefer the old Tuesday/Wednesday timeslots. What do y’all think?

Cast your vote:

What Idol timeslot do you prefer?

  • Tuesday/Wednesday (67%, 6 Votes)
  • Wednesday/Thursday (22%, 2 Votes)
  • Other (11%, 1 Votes)
Total Voters: 9
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Mar 29 2011

On the accuracy of Dialidol

Since I’ve started building a forecast model for Idol, I’ve been terribly interested in Dialidol, a service that measures votes and busy signals during American Idol voting, and gives a raw score. Their main touted statistic is that they have never flubbed a prediction of the finale: since Season 4 (when they started), they have correctly predicted the winner of the contest every time.

However, if dialidol was a perfect forecast, there would never be a need for anything else, and it’s actually quite far from a perfect forecast. I can think of lots of reasons for this, but the main problem with dialidol is, of course, that it’s got sampling problems. It only measures a small number of people using the software to register votes by calling on a land line. Cell phone calls, texts, and now internet votes, are never counted. Moreover, the fewer people watch Idol (and its ratings have been dropping), the worse that sampling gets due to simply numbers.

The first, and by far the most important question, is how often does Dialidol accurately forecast the person going home: Read the rest of this entry »