Research simulation · fictional money · no deposits, prizes or visitor wagers
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Experiment 01 · Completed · Protocol v1.0.0

One thousand players started with the same R10,000. Their results did not stay equal.

The policies differed, every wager was recorded and each result was tested against 1,000 independently seeded alternatives.

Calendar time181 shared simulated days

Bankroll monthOne R10,000 allocation episode

Net P&LCurrent bankroll minus every allocation

RTPGross payouts divided by stakes

The first result

What happened in the visible world

The simulation ran through . Every measure includes all 1,000 policies.

Total virtual wagered

R 20 157 766101 422 settled wagers

Paid to synthetic players

R 18 588 773

House result

R 1 568 993Exactly − aggregate player wager P&L

Actual RTP

92,22%95,56% weighted theoretical RTP

Players ahead

227 / 1,00022,7%

Players behind

773 / 1,00077,3%

Ruined at least once

26 / 1,0002,6%

Used all six allocations

0 / 1,0000,0%

Over six months

The house advantage accumulated

Cumulative house resultCumulative GGR ended at R 1 568 993 after 181 simulated days. The zero reference is shown.
Cumulative GGR ended at R 1 568 993 after 181 simulated days. The zero reference is shown.

The full population

Outcomes spread widely

-R 20KFinal P&LR 70K
Final player P&L distribution. Median -R 1 843; 5th to 95th percentile -R 9 912 to R 9 591.

A result is not a verdict

The winners faced 1,000 alternate worlds.

Each policy was rerun 1,000 times. A winner in the visible world could still have a negative median result across all worlds.

The five highest and five lowest visible-world policies, with expected and replication context
Rank / policyCohortObserved P&LExpected P&LAcross-world medianAhead across worldsWagers
#1P0472Large bets, frequentR 69 862-R 4 656-R 9 961188 / 1,000 (18,8%)227
#2P0426Large bets, frequentR 52 096-R 2 753-R 9 711234 / 1,000 (23,4%)103
#3P0235Medium bets, frequentR 50 520-R 3 001-R 5 656187 / 1,000 (18,7%)201
#4P0946Random controlR 46 043-R 1 012-R 3 479289 / 1,000 (28,9%)51
#5P0695Loss-chasingR 45 910-R 6 934-R 9 744196 / 1,000 (19,6%)143
#996P0659Loss-chasing-R 15 874-R 3 901-R 9 797189 / 1,000 (18,9%)122
#997P0446Large bets, frequent-R 17 807-R 1 447-R 9 976251 / 1,000 (25,1%)260
#998P0498Large bets, frequent-R 19 991-R 2 059-R 9 909258 / 1,000 (25,8%)232
#999P0424Large bets, frequent-R 19 995-R 1 220-R 9 965246 / 1,000 (24,6%)226
#1000P0466Large bets, frequent-R 19 996-R 1 381-R 13 702282 / 1,000 (28,2%)239

See all 1,000 policies →

What the result means

A losing game can still produce striking winners.

The house won in aggregate, yet 227 policies finished ahead in this realised world. Volatility disperses short-run results around a negative expected value.

The replication test asks whether any leading policy remained unusual when the random path changed.

See the alternate worlds →

Research boundary

No one can play this experiment.

The balances are fictional. The site accepts no deposits, withdrawals or wagers and offers no prizes, tips or operator links.

Read the safety and ethics review →