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Find same taste publications, get combined review scores.

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10 years ago
I wanted to know exactly which game to play next. I could just use metacritic's metascore but its full of sellout and my gaming tastes differ greatly from the mainstream. What if I made a 'score' from ratings sources with similar tastes to mine? I am surprised someone had not done this before. There is Listal.com (n criticker) but its got no users and uses only user scores. Also a bunch of homebrew based on MyAnimeList data.

Its basic statistics; sets with high correlation should predict each other. But, you might say, publications are not people and might, just might, rate more objectively. Then, say I, this is the best way to punish hype and selling out. Bad publications don't matter if no one sees them. It might also solve all the metacritic controversy.

So I made a [spreadsheet](http://www.filedropper.com/showdownload.php/metacriticlibre-copy2). Bad [Screenshot](http://s29.postimg.org/62mr6s3zb/Screenshot_8.png)
Got data from [evilasahobby.blog](http://evilasahobby.com/2013/09/27/metacritic-the-data/). You need 7-zip to open archive and libreoffice to open the actual sheet.

Guide. Put a 1 in row 3 if you want this publication's opinion and your score for a title in column A. Row 1 indicates number of ratings you have in common with publication and row 2 the average score. Column B indicates the average score for that title of all critics you chose. Cell B2 shows how close your rating is to each score. The lower the better.
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