← (π)
(π) #23 static NFT preview
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3.1415926535....

Computing Pi is deeply routed in human history.

We can get an estimate for pi (π) via randomly placing coins on square containing a circle. The more iterations, the more precise the median (middle) estimate for pi will be.

The greater the precision of pi; the greener the output.

Technicalities and Probabilties (P()):

P(Coin In Circle) ≈ Area Of Circle / Area Of Square = πr^2 / 4r^2
P(Coin In Circle) ≈ π/4

P(Coin in Circle) = extracted from number of coins in the circle vs out, by randomly placing coins:
= (coins in circle/ coins out of circle)

P(Coin In Circle) ≈ π/4
π ≈ 4 x (coins in circle ÷ coins out of circle)

Traits

ESTIMATE
3.18461538461538441 of 23 indexed NFTs · 4%
DIFFERENCE
0.043022731025591291 of 23 indexed NFTs · 4%
IN CIRCLE/TOTAL
414/5201 of 23 indexed NFTs · 4%
RED
1061 of 23 indexed NFTs · 4%
GREEN
1491 of 23 indexed NFTs · 4%

Price history

DateEventPriceMarket
2022-03-04Mint0.314 tezfxhash issuer v1