Speaker unverified: belief

Transcript context

…Very interesting. We're talking a lot about some of these scale tech problems, and one of the ones that people might not think about is fraud, but I feel like Stripe and DoorDash obviously work together in many ways, but one of the things we work together on is fraud. I feel like the number of potential fraud vectors is much more complex than people think. Maybe you can just talk about trust and safety at DoorDash, all the different ways that people try… You're running this complex system that people try to game and what it takes to run that. Many times I think about my freshman-year electrical engineering course on state machines, where DoorDash in some ways, is like a large state machine, where you have many systems in place, and they're observing what's happening. There are things that must happen when things are green to keep them green. But as we start degrading gracefully, from green to yellow to orange to red, something like fraud, as you mentioned, other systems have to kick in and do things like exception handling. Obviously, you're spending most of your time building prevention systems, but of course, it's tricky. You also have to have the 911 response system that literally totally responds within minutes, because sometimes we're talking about physical safety. We're not just talking about fraud. Given the volumes that DoorDash carries, billions of orders per year, the one-in-a-million incident, unfortunately, does occur. That's DoorDash as a system. Now, in fraud, you're right. We partner, for example, a lot on online fraud. You have the largest database of all of these transactions, and therefore, you can give us lots of information that we ourselves couldn't do on our own. On the flip side, there's also offline fraud, which is very tricky to catch. What do you mean by offline fraud?…

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