SoatDev IT Consulting
SoatDev IT Consulting
  • About us
  • Expertise
  • Services
  • How it works
  • Contact Us
  • News
  • August 18, 2025
  • Rss Fetcher

A couple days ago I wrote about how you might go about trying to recover a seed phrase that you had remembered out of order. I said that the list of seed phrase words had been designed to be distinct. Just out of curiosity I computed how similar the words are using Levenshtein distance, also known as edit distance, the number of single character edits it takes to turn one word into another.

A lot of the words—484 out of 2048—on the BIP39 list differ from one or more other words by only a single character, such as angle & ankle, or loud & cloud. The word wine is one character away from each of wing, wink, wire, and wise.

Other kinds of similarity

Edit distance may not the best metric to use because it measures differences in text representation. It’s more important for words to be conceptually or phonetically distinct than to be distinct in their spelling. For example, the pair donkey & monkey differ by one letter but are phonetically and conceptually distinct, as are the words live & olive.

Some pairs of words are very similar phonetically. For example, I wouldn’t want to have to distinguish or cannon & canyon over a phone call. The list is not good for phonetic distinction, unlike say the NATO alphabet.

Memorization

For ease of memorization, you want words that are vivid and concrete, preferably nouns. That would rule out pairs like either & neither.

The BIP39 list of words is standard. But other approaches, such as Major system encoding, are more optimized for memorability.

Design

It’s hard to make a long list of words distinct by any criteria, and 2048 is a lot of words. And the words on the list are intended to be familiar to everyone. Adding more vivid or distinct words would risk including words that not everyone would know. But still, it seems like it might have been possible to create a better word list.

Recovery

The earlier post discussed how to recover a seed phrase assuming that all the words are correct but in the wrong order. It would make sense to explore sequences in order of permutation distance, assuming that small changes to the order are more likely than large changes.

But if it’s possible that the words are not correct, you might try looking at words in edit distance order. For example, “You said one of the words was race. Could it have been rice?”

Related posts

  • Spreading out words in space
  • What’s in a crypto wallet?
  • Base58 versus Base85 encoding

The post A lot of seed phrase words are similar first appeared on John D. Cook.

Previous Post
Next Post

Recent Posts

  • OpenAI warns against SPVs and other ‘unauthorized’ investments
  • Amazon AGI Labs chief defends his reverse acquihire
  • The Trump administration’s big Intel investment comes from already awarded grants
  • Knuth’s Twindragon
  • What’s hierarchical about a hierarchical wallet?

Categories

  • Industry News
  • Programming
  • RSS Fetched Articles
  • Uncategorized

Archives

  • August 2025
  • July 2025
  • June 2025
  • May 2025
  • April 2025
  • February 2025
  • January 2025
  • December 2024
  • November 2024
  • October 2024
  • September 2024
  • August 2024
  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023

Tap into the power of Microservices, MVC Architecture, Cloud, Containers, UML, and Scrum methodologies to bolster your project planning, execution, and application development processes.

Solutions

  • IT Consultation
  • Agile Transformation
  • Software Development
  • DevOps & CI/CD

Regions Covered

  • Montreal
  • New York
  • Paris
  • Mauritius
  • Abidjan
  • Dakar

Subscribe to Newsletter

Join our monthly newsletter subscribers to get the latest news and insights.

© Copyright 2023. All Rights Reserved by Soatdev IT Consulting Inc.