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Are you a 1 in 750? #Shorts
Every dot on this bell curve is someone watching the video. Where are YOU? It turns out there's a single action that puts you three standard deviations above everyone else — and almost nobody does it.
THE MATH (the sigma-to-percentile part is exact, one-tailed standard normal):
• +1 sigma = top 15.9% ("about 16%")
• +2 sigma = top 2.3% ("about 2%")
• +3 sigma = top 0.135% = 1 in 741, rounded to "1 in 750"
Computed in the clip with scipy: norm.sf(3) = 0.00135 (the upper-tail area past 3 sigma).
THE MODEL (the playful part): mapping like to +1 sigma, comment to +2 sigma, and share-in-the-first-few-seconds to +3 sigma is an illustrative model, not a measured law. But the ORDERING is real — on every platform, like-rates beat comment-rates beat instant-share-rates, so sharing instantly really is the rarest of the three engagement actions.
So the dare is honest: if you share this before it ends, you're statistically the ~1-in-750 viewer.
Method: a standard normal distribution N(0,1); tail probabilities via the survival function (the area past z). No data fitting — the curve is a pure N(0,1).
#Shorts #statistics #probability #normaldistribution #datascience #math #python
Видео Are you a 1 in 750? #Shorts канала axiom_007
THE MATH (the sigma-to-percentile part is exact, one-tailed standard normal):
• +1 sigma = top 15.9% ("about 16%")
• +2 sigma = top 2.3% ("about 2%")
• +3 sigma = top 0.135% = 1 in 741, rounded to "1 in 750"
Computed in the clip with scipy: norm.sf(3) = 0.00135 (the upper-tail area past 3 sigma).
THE MODEL (the playful part): mapping like to +1 sigma, comment to +2 sigma, and share-in-the-first-few-seconds to +3 sigma is an illustrative model, not a measured law. But the ORDERING is real — on every platform, like-rates beat comment-rates beat instant-share-rates, so sharing instantly really is the rarest of the three engagement actions.
So the dare is honest: if you share this before it ends, you're statistically the ~1-in-750 viewer.
Method: a standard normal distribution N(0,1); tail probabilities via the survival function (the area past z). No data fitting — the curve is a pure N(0,1).
#Shorts #statistics #probability #normaldistribution #datascience #math #python
Видео Are you a 1 in 750? #Shorts канала axiom_007
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23 июня 2026 г. 23:58:33
00:01:04
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