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Experiment 02 · Protocol v1.0.0

What are the odds that R1,000 a month produces a R100,000 payout?

Sixteen controlled cells measure the first target hit before R12,000 and R36,000 is spent. Exact probabilities are reported alongside 1.6 million seeded entrant paths.

TargetOne gross payout ≥ R100,000

Monthly capR1,000 in every strategy

Horizons12 and 36 months

GamesFour published Class C models

The scale of the study

The event is rare.
The denominator remains visible.

Every percentage uses 100 000 independent synthetic entrants in each game-strategy cell. A hit ends the entrant's path; otherwise it continues to the spending cap.

Experimental cells

164 games × 4 strategies

Entrant paths

1 600 000100 000 per cell

Gross target

R 100 000Not the same as net wealth

Largest MC deviation

0.255 ppVersus exact probability

The main finding

More attempts did not always improve the odds.

The monthly budget stayed fixed. The stake, number of attempts and payout multiple needed to reach R100,000 changed.

JACKPOT SLOT17,97% → 3,54%

Moving from 20 × R50 to 200 × R5 reduces three-year incidence because the smaller stake needs a much rarer multiplier.

LOTTERY TAIL0,57% → 5,60%

The same move increases incidence because every ticket shares one sufficiently large tail outcome and the smaller stake creates more attempts.

CONSTANT EDGE29,48% ≈ 29,48%

The crash-target model makes probability approximately proportional to stake, so fixed spend nearly equalises the four strategies.

The complete study

Follow the evidence from result to reproduction.

The overview is only the entry point. Every result, model, method and downloadable artifact has its own permanent page.

What the result does not mean

A large payout is not a recommendation.

The study uses fictional money, synthetic entrants and controlled probability laws. It does not identify a game to play, estimate an undisclosed commercial product or imply that a target hit is likely, repeatable or profitable after spending.

Read the complete safety statement →