Ramesh Johari
12 statements across 1 episodes · 3 bullish · 4 bearish · 1 people on the record · first statement Nov 9, 2023 by Ramesh Johari · said 1 times in 1 episodes since 2023 · across every show →
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2023 1 mention in 1 episode
Everything said about Ramesh Johari, oldest first
Nov 9, 2023
Johari: Marketplace algorithms should be evaluated on causal outcomes, not historical predictions
“When I think about the distinction about two different, between two different ranking algorithms, I don't want to be only comparing them in terms of how well they recreate the choices people made in the past. The way I'm really going to evaluate those is in my…”
Nov 9, 2023 negative
Nov 9, 2023 neutral
Johari: A negative first rating on eBay causes an immediate 8% revenue hit
“In fact, there was some early work on eBay that showed that your first, if your first rating's negative, that could actually in immediately cause like an eight percent hit on, you know, your immediate expected revenue, say nothing of long-term consequences. Su…”
Nov 9, 2023
Johari: Major marketplace changes create winners and losers through reallocation
“You have to recognize when you run marketplaces that many of the changes that are most consequential create winners and losers. And rolling with those changes is about recognizing whether the winners you've created are more important to your business view than…”
Nov 9, 2023 neutral
Johari: Badging in marketplaces often fails by distorting inventory demand
“A common kind of finding it, you know, with badges is that, that badges you think are going to be great actually turn out to be terrible. And one reason they're terrible is they focus too much attention on the badged folks and pull too much attention away from…”
Nov 9, 2023
Johari: Single A/B tests should not overturn core business understanding
“Data science is really about accumulation of evidence. It's never about one finding an isolation. And so another kind of trap, I think, is to sometimes say, well, I hit stat sig on my AB test, you know, green light, it's all go like, and, you know, I think, yo…”
Nov 9, 2023 negative
Nov 9, 2023 positive
Johari: AI puts more pressure on human data scientists, not less
“What AI has done for us is it's massively expanded the frontier of things we could think about our problem, hypotheses we could have, maybe things we could test. It's just an astronomical explosion of explanations and ideas and principle. And I really think ac…”
Nov 9, 2023 negative
Nov 9, 2023 negative
Johari: Experimentation cultures foster risk aversion and overly incremental testing
“What I generally believe is that we're risk averse on both these two dimensions. That what people decide to test in a world that has promoted experimentation for everything tends to be more incremental by design. Okay. Because, and we'll come back to by actual…”
Nov 9, 2023 positive
Johari: Factoring unleft reviews into seller scores better predicts downstream performance
“There's a great concept in the ratings, in the literature on rating systems called the sound of silence, which is this idea that, that there's a lot of information in, in ratings that are not left. So Steve Tedellis, who's a professor at Berkeley, he had a rea…”