Fairness

Myths about strategies and streaks

'Hot' and 'cold' streaks, martingale, the 'right' cash-out point — the most persistent misconceptions of crash players. We break down each one by the numbers and use a simulation to show why chasing bets almost always ends in a break-off.

Play, but responsibly!

A dozen 'working systems' circle around crash games: catch streaks, double after a loss, cash out at the 'right' moment. They all rest on one error — the belief that randomness has a memory. Let's break down the main myths by the numbers and see what actually happens to the bankroll.

The independence of rounds

The foundation of all empty strategies is the illusion of a connection between rounds. But in Aviatrix each round is computed from its own set of server seed + client seed + nonce and doesn't depend on the previous ones at all. Past results don't affect the next one — not one bit.

A harsh conclusion follows from this: any strategy that looks at the history of rounds ('after three low ones I bet big') has no basis. This is the classic gambler's fallacy — attributing a non-existent memory to independent events.

Myth

'I see a pattern: after such-and-such a streak a big multiplier almost always comes.'

Fact

Coincidences in random data are inevitable and predict nothing. On the next round the probabilities are exactly the same as always.

The myth of the 'streak'

A particular but especially expensive case is the belief that a big multiplier is 'due.' Psychologically it's understandable: after a dozen instant break-offs it seems fairness demands a large coefficient. But the distribution doesn't know about your expectation. The probability of reaching a big multiplier in the next round doesn't rise just because there hasn't been one for a while.

The reverse version of the myth is a 'lucky streak': since big ones have started, you should bet more. Both are a search for a signal where there is only noise. You can check this right in the distribution generator: the shares of multipliers converge to theory regardless of the order.

Martingale

The most famous 'system' is martingale: double the bet after each loss, so that the very first win returns everything lost plus a small gain. On paper it looks unbeatable. In practice it has a fatal flaw: the bets grow exponentially ($10, $20, $40, $80, $160, $320…), and one not-too-long losing streak is enough to run into the bankroll's limit or the table limit.

We modeled 120,000 players using martingale: a start of $1,000, a base bet of $10, cash out at ×2, up to 500 rounds. Here are characteristic trajectories — the bankroll creeps up in small steps until one streak ends the game:

050010001500 start 1000 rounds played → break-off point: the bet can't be doubled anymore
Three players using martingale (bet ×2 after a loss, cash out at ×2). The bankroll grows in a 'sawtooth' of small steps — until one losing streak ends the game.

The result is harsh: about 88.9% of players went bankrupt within 500 rounds — that is, at some point couldn't double the bet — while only 11.1% stayed in the green. The median bankroll fell by roughly half. Martingale doesn't reduce the casino's edge, it shifts the risk: many small wins in exchange for a rare but catastrophic loss.

Caution

Doubling concentrates the risk, it doesn't remove it

The longer martingale 'works,' the larger the inevitable killer streak becomes. The illusion of steady gains is dangerous precisely because it lulls your vigilance before the one break-off that takes everything at once.

Cash-out points and 'systems'

Another family of myths is the 'right' cash-out point. But, as shown in detail in the breakdown of RTP, the expectation doesn't depend on the cash-out target: at both ×1.3 and ×50 the average return is about 97%. An early cash out — frequent small gains, a late one — rare big ones; variance changes, not the average.

The same applies to any combinations of 'bet on two coefficients,' 'cash out half,' and the rest. They're all just rearrangements of the same probabilities. Reshuffling a negative expectation into a positive one is arithmetically impossible: on every turnover the same 3% is lost.

A strategy in a crash game can change how exactly you lose, but it can't change the fact that on average you lose.

Why people believe it

If it's all so obvious, why do the myths persist? Variance and psychology are to blame. The high variance of crash games regularly produces winning streaks — enough to believe the 'system worked.' And our memory helpfully highlights confirmations and mutes failures: we remember the evening when martingale 'saved us' and forget the one when it zeroed out the bankroll.

Add survivorship bias: in chats and videos the loudest are those who got lucky, while the silent majority of losers don't write posts. A distorted picture forms, where 'systems work for others.' The best cure is a check over a long distance or a simulation: they invariably return to the same 97% return.

Luck can look like skill — right up until the distance takes its toll.

The section's conclusion: working strategies against an honest RNG don't exist, because there's nothing to beat and nothing to beat it with. It's precisely on the belief in the opposite that scammers make money — selling 'predictors' and 'signals.' How this deception works we'll break down in the next section.

Frequently asked questions

No. Rounds are independent: the outcome of each is determined by a separate set of server seed, client seed, and nonce and doesn't depend on the previous ones. A 'cold streak' of low multipliers doesn't bring a big one closer, and a 'hot streak' won't continue with greater probability. Seeing a pattern in random coincidences is the gambler's fallacy, not the observation of a working pattern.

No. The idea of doubling the bet after a loss gives the illusion of control, but it's mathematically doomed: a long enough losing streak is enough to run into the bankroll's limit or the table limit — and then all the accumulated small wins are erased at once. In our simulation of 120,000 players, about 88.9% went bankrupt within 500 rounds, and the median bankroll fell by roughly half. Doubling doesn't beat the casino's edge, it only concentrates the risk.

No. That's the same gambler's fallacy. The distribution doesn't remember the past: the probability of reaching a big multiplier in the next round is the same as always, regardless of how many low rounds came before. A big multiplier doesn't 'accumulate' and doesn't get closer after a streak of small ones.

No. Since the probability of reaching ×x is approximately 0.97/x, the expected return for any cash-out target is the same — about 97%. An early cash out gives frequent small wins, a late one rare big wins, but the average doesn't change. The cash-out point controls only variance, not expectation; a 'winning' point doesn't exist.

Because of high variance and the quirks of memory. Over a short distance, randomness regularly produces winning streaks that are easy to mistake for the result of a 'system.' Plus, we remember confirmations more vividly and forget failures (survivorship bias and selective memory). A check over a long distance or a simulation almost always returns to the same 97% return.