Angelina YangFounder and Host, TwoSetAI · AI builder for visibility and discoverability

1 in 100 Trillion — Beating Face ID With Your Palm

9 Oct 2026 · 1 min

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In this brief segment, Angelina Yang and a co‑speaker discuss the security of Apple’s Face ID system, noting its self‑reported false acceptance rate (FAR) of 1 in 1 million. They contrast this with a baseline minimum FAR of 1 in 10 million and propose that using both palms as a biometric factor could dramatically lower the FAR to an extreme 1 in 100 trillion. The conversation highlights the intuition that Face ID appears more complex and unique, yet questions whether alternative biometrics—specifically palm recognition—might achieve far stronger security metrics.

Intuitively, Face ID, let's say, seems like a better one in a sense. It's more complex and it's more unique, maybe more data points, but it may not be true.
Apple Face ID has a self-reported false acceptance rate of 1 in 1 million. Our baseline minimum FAR is 1 in 10 million, and we can actually increase that significantly. So we can do things like use both your palms, and we can actually bring that FAR all the way up to 1 in 100 trillion, which sounds like a fake number.