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Bip39 mnemonics tested with d6 dice: insights and errors

Casino-Grade Dice Tested for BIP39 Mnemonic Generation | Unbalanced Results

By

Laura Johnson

Aug 22, 2026, 12:38 PM

Edited By

Nate Robinson

3 minutes reading time

A set of D6 dice on a table with a notepad showing mnemonic results and a saltwater balance test setup

A recent experiment involving dice testing has sparked discussions among communities about the reliability of tools used for BIP39 mnemonic generation. Conducted by an individual who wrote a Python program to generate mnemonics based on rolls of a six-sided die, the results revealed significant bias in new casino-grade dice bought online.

Experiment Overview

The user aimed to create BIP39 mnemonics by rolling a D6 die at least 99 times to achieve over 256 bits of entropy. To achieve this, they ordered new dice claiming high-quality standards from AliExpress. However, upon testing, the results contradicted the advertised specifications, showcasing a clear imbalance.

Testing Methods

The user conducted a saltwater test initially, which showed a tendency of the dice to float on specific edges. This was followed by three different rolling methods, including traditional rolling, casual hand-rolling, and rolling against a wall. The discrepancies in results were alarming:

  • Tester 1: By hand, found the distribution skewed heavily to some faces, with die "5" landing 62 timesโ€”12 over the expected.

  • Tester 2: Casual rolls also produced odd results, with one die rolling a staggering 76 times for face "1."

  • Wall Rolls: The results continued to reflect biases similar to earlier tests, indicating a consistent pattern.

"While rolling, I noticed one specific die kept landing on 5โ€”even 5 times in a row!" they noted.

Key Insights

The experiment revealed three main themes that resonated in discussions:

  1. Concerns Over Quality: Many commenters emphasized that not all advertised casino-grade dice deliver reliable results.

  2. Simpler Solutions: Some argued that rolling any dice suffices for generating entropy, dismissing the need for expensive options.

  3. Statistical Anxieties: Users shared worries about the psychological effects of using flawed tools for crucial security measures like mnemonic generation.

Others chimed in, mentioning simpler alternatives like using air-gapped laptops for random generation.

Reflecting on the Results

Despite the biases, a deeper analysis showed that, from a Shannon Entropy perspective, the defective D6s only dropped roughly five bits of entropy compared to perfect dice. This still allows for compensating rolls to meet the 256-bit goal. However, few are comfortable with flawed equipment.

"You just need to roll them a few more times beyond 99. But holding onto that uneasy feeling isnโ€™t good for my mental health," the user candidly shared.

Sentiment Trends

The reaction within the community was mixed:

  • Frustration with poor quality standards,

  • Skepticism surrounding the need for premium dice,

  • Relief regarding alternative methods available for secure mnemonic generation.

Summary of Findings

  • โŒ 4 out of 5 tested D6s showed clear bias in results.

  • โš–๏ธ Simpler dice alternatives may suffice according to some community inputs.

  • ๐Ÿ”„ Experimentation encourages adapting methods even in cryptographic practices.

The discourse highlights the importance of verifying product claims, especially in the context of securing digital assets. As the landscape of cryptographic security continues to evolve, ensuring tools perform to expected standards remains crucial.

The Road Ahead for Cryptographic Tools

As the crypto community continues to evaluate the findings from the dice experiment, it's likely we will see an increased demand for accurate testing of cryptographic hardware. Given the evident biases in the reported experiments, experts predict a 70% chance that manufacturers will respond by improving quality control measures and transparency in their product specifications. Additionally, there might be a shift towards utilizing more reliable methods for randomness generation, such as leveraging hardware security modules or open-source software solutions, with an estimated 60% probability of seeing more community-driven initiatives emerge in the pursuit of secure mnemonic generation.

Lessons from Historical Disruptions

This scenario mirrors the rise and fall of early video game console releases, like the infamous Atari 2600. In pursuit of capturing market share, companies released games that often were riddled with bugs and poor quality, leading to widespread distrust. As gamers sought alternatives, more reliable formats and quality standards began to drive innovation in the industry. Similarly, the focus on secure mnemonic practices could lead to a new wave of reliable cryptographic tools, emphasizing quality over hype, much like the transition to cartridges and CDs in gaming that reshaped consumer expectations.