The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 5 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Assertion Supported
Cardiogram predicts sleep apnea and hypertension using standard smartwatch heartbeat data
“Using that exact same data, they were able to predict whether you had sleep apnea. They were able to predict hypertension. And these things, traditionally, you'd have to have dedicated medical devices for. But just off the heartbeat data, we can predict whethe…”
Frank Chen Dec 8, 2017 ▶ 9:40 AI: What's Working, What's Not
Prediction Held up
Sinofsky: Apple is on a path to untether the Watch from the iPhone
“The one thing I will say that's going to be magical is how Apple Like, evolves, their historic way of doing things has been to tether them, and then untether them over time, and so what I think is going to be interesting to see is if they can untether the watc…”
Steven Sinofsky Jan 2, 2019 ▶ 21:33 a16z Podcast | Apple Watch -- Looking for New Things Done in New Ways
Assertion Supported
Evans: MacBook Touch Bar is powered by an Apple Watch chip
“The technology underneath it is an OLED screen, and the chip That's driving it, apparently, is actually Apple Watch, basically.”
Benedict Evans Jan 2, 2019 ▶ 21:50 a16z Podcast | So Where Are We on the 'S-curve' for PC Devices?
Prediction Held up
Evans predicts a standalone LTE Apple Watch is two years away.
“And so potentially at the point that the watch gets LTE, then you can You go out all day with the AirPods and the watch and Siri. That feels like that's a couple of years away, maybe.”
Benedict Evans Jan 2, 2019 ▶ 23:05 a16z Podcast | Apple and the Case of Invisible But Audible Innovation
Assertion Supported
Chen: Cardiogram uses Apple Watch data to detect abnormal cardiac events
“Using the data that comes off in Apple Watch, they can predict whether you're having one of these abnormal cardiac events.”
Frank Chen Jul 16, 2017 ▶ 30:26 The Promise of AI
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