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Comment Re: Well (Score 3, Informative) 497

Plus, according to the site I linked below, 29,394 out of 31,799 US zip codes have 50% or more white population. That comes out to 92.4% of all zip codes. And they are surprised that 94% of apple stores are in majority white zip codes? It's simple statistics (and a bit of sampling error)!

Comment Re:Trump doesn't even apologize for treason! (Score 2) 215

1. Shielding a Nazi Officer Wanted for War Crimes

2. The Internment of Japanese Citizens During World War II

3. The Overthrow of the Kingdom of Hawaii

4. The Tuskegee Experiment

5. An Apology for Slavery and the Jim Crow laws

Comment Re:Terrible headline (Score 1) 162

What Apple (and others) could POSSIBLY do, is to make a "Credentials" Dialog appear COMPLETELY different from any-other-Dialog, using baked-in UI elements that are simply not accessible to Apps. Kind of like building holograms and micro-printed ribbons into Currency.

That wouldn't actually solve the problem, it would just make it slightly more difficult to mock. App developers have full control over the appearance of their apps. Sure, they wouldn't be able to use stock UI components to mimic the dialog, but they could still create custom dialogs that look identical to anything that Apple implements. Apple just needs to move away from prompting in a dialog, and tell the user that they need to go to settings to log in. Do away with a little bit of convenience to eliminate the security flaw.

Comment Re:The loss of touch ID is a fatal flaw (Score 1) 120

Yes, and the distribution of those people is important. If fingerprints have 150,000 people randomly distributed through the entirety of earth's population that would unlock your phone, that's not bad. It would be pretty hard to find one of those people. It would be much better than say, in the worst case, that the 7,500 people that can unlock your phone with FaceID happen to be your 7,500 closest relatives, which would be fairly easy to find. This is an extreme example, but it demonstrates my point in the importance of the distribution.

Comment Re:Look alike according to Algorithm (Score 1) 120

Yes, but what they mean is siblings that look like you according to an algorithm which also thinks that all kids under 13 look alike.

Not exactly... There is a higher probability of false matches due to fewer distinguishing features, but that doesn't mean all of them look alike. Just that there are more groupings of look-alikes than with adults.

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