P(0) = 0/6

kakuritsu

確率 / probability

000000
0
Panel 1 / binary sample space

P(H) = 1/2

HT

Frequentists read the coin as a limit: repeat the throw until the tally approaches one half. Bayesians read the same coin as a state of information: before impact, two hypotheses retain equal weight. Both interpretations survive because the sample space is brutally small and completely enumerated.

The page refuses metaphor. Two outcomes. One observation. A counter that never sentimentalizes uncertainty.

tally
H:000 / T:000
0
Panel 2 / six discrete faces

THE DIE

A die is not randomness; it is a machine with six terminal labels. The violence of the throw hides determinism inside unread initial conditions, leaving a useful fiction: each face occupies one sixth of the formal space.

Probability begins when mechanical detail becomes too expensive to track.

Ω(d6)
{1,2,3,4,5,6}
0
Panel 3 / branching multiplicity

THE TREE

The binary tree begins innocently, then doubles its debt at every level. A path is a sentence of decisions; a leaf is the price paid for asking one more question. The lower branches cross the inversion line: conditional probability changes the room in which counting occurs.

leaves revealed
00/16
0
Panel 4 / conditional removal

THE URN

An urn without replacement is memory made physical. Every draw damages the old denominator. The next probability is not a repetition; it is an answer conditioned by the visible absence of what has already been removed.

P(white | draws)
5/9 → 4/8 → 4/7
0
1
000000

The only certainty is that you calculated.