Combining independent randomness sources so one honest source can preserve security; hashing can combine entropy but cannot create entropy absent from every input.
Entropy mixing is best understood as part of a system rather than as an isolated definition. Its related coordinates show the mechanisms, incentives and historical records that give the term practical meaning.
Entropy mixing should be evaluated against a concrete threat model: what is protected, from whom, for how long and at what operational cost. A design may remove one dependency while introducing another, so custody, privacy and verification must be judged as a complete system.
Understanding Entropy mixing helps distinguish a verifiable Bitcoin mechanism or historical record from slogans, products and market narratives.
For the clearest picture, read this entry together with Cryptographic entropy, Hardware true random-number generator, Dice-roll entropy, Cryptographic hash. The reverse links also lead from Hardware true random-number generator.
Linked to related atlas coordinates
Grounded in source data
Explains function and trade-offs
Part of the open Bitcoin knowledge graph