A measured shot scan turns exact state probabilities into expected counts by multiplying by the number of trials, auditing the pre-measurement distribution without claiming that any single outcome is predetermined. The three rows give (3/5, 4/5) over 25 shots as (9, 16), (4/5, 3/5) as (16, 9), and (5/13, 12/13) over 169 shots as (25, 144) exactly for the stated toy probability ledger; real experiments have shot noise, readout assignment error, state-preparation drift, and finite-count statistics.
A finite batch of identically prepared systems turns squared amplitudes into expected measurement counts. Exact arithmetic here means exact results for the stated model inputs; measured inputs still carry uncertainty and significant-figure limits.
highlighted = computed this step
Expected counts start with squared amplitudes
The rendered state uses amplitudes 3/5 and 4/5. Squaring gives probabilities 9/25 and 16/25.
Pzero=259,Pone=2516
The first row has exact expected counts
For 25 identically prepared systems, the expected counts are 9 zero outcomes and 16 one outcomes. This is still an expectation, not a random draw.
Nzero=9,None=16
Three states give three exact shot ledgers
Each row squares the two amplitudes and multiplies by the trial count. The last row uses more trials because thirteenths need a larger exact square denominator.
The table audits the pre-measurement distribution. A particular measurement result still updates the next state, so this scan does not pretend that expected counts are hidden prewritten answers.