Your seed phrase was never random. That is the horror behind the Coldcard mess. For five years, a firmware bug from 2021 silently swapped the hardware noise source for a weak software generator seeded by serial numbers and timers. What should have been 128 bits of chaos collapsed to roughly 40 bits on older units and 72 on newer ones. Attackers simply enumerated the tiny space, matched addresses on-chain, and walked away with more than 1,700 BTC. No phishing. No physical theft. Just mathematics catching up to a silent failure that looked perfectly normal. That is the lesson that sticks. Randomness can fail without a sound. The wallet keeps working. The seed words look legitimate. The damage only appears when someone else finishes the calculation first. ERA’s answer is deliberately messy, in a good way. Two separate hardware generators from different makers always run: the STM32’s own noise source and a NIST-certified secure element. Then, if you choose the expert path, the device adds three more streams only you can provide. You scribble on the screen, shake the unit, and move the camera around your actual room. Each sample is collected at unpredictable moments chosen by the hardware itself, with entropy tested before acceptance. Everything is finally mixed through SHA-512, so even if several sources are compromised, another can still protect the result. The architecture makes sense to me because it rejects the single point of trust that failed Coldcard. I still want clearer public proof that the on-device statistical tests cannot be gamed by a cleverly staged environment. I also want to see how the blending function is audited in shipping firmware, not just in the lab. Those are the remaining questions. Until they are answered with the same transparency as the design itself, multi-source entropy looks like one of the strongest practical responses to the randomness failures we keep rediscovering the hard way.