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Why use wait times as a metric for popularity? It obviously needs to be hourly throughput. If you have a ride that is pulling in triple the hourly guests as Slinky it is clearly more popular than a ride that has notoriously low numbers.
My thoughts exactly. Another variable to consider is each ride’s “hourly capacity”. This, coupled with number of actual riders per hour will give a much better representation. I also question the ‘average wait time’ data presented in the article; was it sampled once per hour for 8 hours? 60 samples per hour for 8 hours? I sometimes wonder if ‘reporters’ write a headline, then selectively cherry pick data designed to back in to conclusion of their choosing. For example: “Did You Hear About the Statistician Who Drowned in a Lake With an Average Depth of Two Feet?” (for those who are interested, the book HOW TO LIE WITH STATISTICS by Darrell Huff is a great related read.
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