Probability Comparison Gaming || data is beautiful

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Probability Comparison Gaming || data is beautiful
Probability Comparison Gaming - probability comparison: gaming.

this is the probability comparison of the rarest animals on earth. this one is definitely my favorite of reigarw's probability comparisons since its an eye opener about rng in games...



This one is definitely my favorite of reigarw's probability comparisons since its an eye opener about rng in games...

Reacting to "probability comparison: gaming" by reigarw comparisons.

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From the chances of getting a shiny 6IV Pokemon, to spawning a diamond enchanted chicken jockey or a pink sheep, or even getting an Arcana Drop, StatTrak Kinfe, Dragon Lore or even a Golden Frying Pan, we compare the odds of getting certain rare items, events or characters from games including Fortnite, Minecraft, Terraria, Diablo, Team Fortress, Borderlands, Counter Strike and many more!

Disclaimer: This video is not official. It is purely fan made based on comment suggestions, online community discussions and statistical articles. Numbers listed may be invalidated, incorrect or not up to date. All sources and references in description. All numbers rounded up to 3 significant figures.
Image Use: There are images and sprites from a copyrighted computer or video game, and the copyright for it are most likely held by the company that developed the game. It is believed that the use of a limited number of web-resolution sprites for identification and critical commentary on the computer or video game in question or the copyrighted character(s) depicted by the sprite/images in question qualifies as fair use under United States copyright law, as such display does not significantly impede the right of the copyright holder to sell the copyrighted material, and presents visual ideas that cannot be exhibited otherwise.Ranking is based on the following factors: prime-time first 24 hours audience reports, one week of reported statistics for downloaded copies (pirated), one week of streaming services viewership. Numbers are worldwide with significant bias towards US market up until 2002, afterwards it's balanced by p2p distribution across the globe.

I actually have the data starting 1960s. Let me know if you'd like extended version of this video.

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