why aren't all 9 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 Not checkable as stated
Uber and Lyft have low user barriers to exit during surge pricing
“Now play the same thing on Uber and Lyft. I find the barrier to exit for the user on Uber or Lyft to be really low because I'm not the one choosing the driver. So if I'm on Uber today, and if the prices are surging, I'm going to check lift automatically, and a…”
Prediction Not checkable as stated
The global tech ecosystem will become a triangle of SV, Beijing, Bangalore
“I think Silicon Valley will continue to play an important role in the tech ecosystem. However, I do think in the future, you will actually see the tech ecosystem be a triangle between Silicon Valley, Beijing, and Bangalore. I don't think it will, it'll no long…”
Assertion Contradicted
Facebook delayed expanding beyond Harvard for 18 months to ensure retention
“They first launched in Harvard, and there was a lot of craze about the app. A lot of schools demanded that Facebook be available in those schools, yet they did not launch it for almost 18 months, and the simple reason being, the one metric they measured was ho…”
Assertion Supported
Uber's growth team drove Indian expansion by introducing cash payments
“There's a very good example in Uber where, you know, the whole premise was it's a cashless transaction app. And they went to India, which has no credit cards. And the growth team actually ran an experiment by turning on cash to figure out how much it helped wi…”
Assertion Not checkable as stated
Airbnb's review ecosystem creates defensibility that competitors cannot replicate
“A product that's not like Facebook, but it has that same network effect is Airbnb, right? Because it's a marketplace and obviously it's a matching of hosts and guests, but over time they've built so many reviews and ratings, both about the guest and the host. …”
Assertion Supported
Amazon scaled phenomenally as a first-party business without network effects
“Amazon is the prime example of a large company that started off as a first party business, which had no network effects, and they've done phenomenally well as they've scaled it.”
Assertion Supported
Airbnb struggled for its first three years to build marketplace liquidity
“So Airbnb, when they first launched, I mean, they didn't have vital growth. I mean, they really struggled for the first three years to build liquidity in their marketplace, but”
Assertion Partly supported
Stripe's Patrick Collison met 5-6 top executives before making senior hires
“Patrick Collison from Stripe often says this, which is for every senior exec role that he decided to Hired. He first spent time with five or six execs in that role to really understand and establish what is best in class.”
Assertion Contradicted
Most consumer apps around 2007 and 2008 plateaued at 50 million MAUs
“When they hit around fifty million MAUs, They realized that most apps in that era, around 2007 and eight, had plateaued at fifty million MAUs.”