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Rank the 50 best Apple products

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Why This Matters

This article highlights how a modified ELO algorithm is used to rank the top 50 Apple products based on community preferences, making the ranking process more dynamic and representative. This approach allows consumers to influence the rankings through their choices, fostering a more interactive and accurate reflection of product popularity. It demonstrates innovative use of gaming algorithms in tech product evaluation, potentially shaping future consumer decision-making tools.

Key Takeaways

For any one person, ranking 50 items can be a long and tedious process. For a community, however, it's markedly easier. Rather than have each user submit a full list, we can break down the rankings into bite-size components, then recombine them once we have enough votes. Here, we're using a modified ELO algorithm to do just that.

With ELO, each item has a starting score, which is then modified in every paired matchup. The change in points is based on the score of the other item in the pairing; beating the top ranked item will come with a higher reward than beating the lowest, and the same in reverse applies to the penalties for losing. (ELO was originally developed for chess, which has more robust victory conditions than 'user preference,' so we've tweaked the standard version to dampen the effects of major upsets.)

All of which means that every time you make a choice between any two of the items on our Apple Top 50 list, you're making a contribution to the overall community rankings. Thanks!

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