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 11 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
Joseph Essas: OpenTable only allows reviews from verified diners
“Every review that a person leaves, they only allow to leave if they, we know for a fact that they actually dined in that restaurant.”
Joseph Essas Jun 19, 2015 ▶ 5:37 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Essas: OpenTable data shows diners have grown far more specific and demanding
“People used to be very generic. People used to say in our reviews, and that's the beauty of the fact that we have 15 years worth of them, people used to say, I just want a booth sorry, people used to say, I just want to be a romantic setting, or I want to have…”
Joseph Essas Jun 19, 2015 ▶ 18:55 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Supported
OpenTable operates in about 32,000 restaurants as of June 2015
“It's about 32,000 restaurants, so we provide software that sits inside those restaurants, and allows restaurants to manage their inventory.”
Joseph Essas Jun 19, 2015 ▶ 0:21 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Supported
OpenTable seats about 16 million diners per month as of June 2015
“We sit about sixteen million diners a month”
Joseph Essas Jun 19, 2015 ▶ 0:52 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Essas: OpenTable has 30 million reviews in its database
“We have thirty million reviews in, in our, kind of, in our database.”
Joseph Essas Jun 19, 2015 ▶ 3:23 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Diners in SF, NYC, and Chicago prioritize different restaurant scenery
“In San Francisco, people talk a lot about the view of the Bay, the view of the bridge. In New York, people talk about, ah, a view of the river, or view of the Hudson, ah, while in Chicago, ah, people talk about the city and the lake.”
Joseph Essas Jun 19, 2015 ▶ 11:17 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Essas: Valentine's Day generates OpenTable's most polarized restaurant reviews
“So, our, literally, it's our most polarizing day on reviews basis, based on one-star review versus five-star reviews.”
Joseph Essas Jun 19, 2015 ▶ 12:39 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Essas: OpenTable review data shows a major cauliflower trend in NYC
“For example, New York City, just looked, looked it up before I came to speak here there's a huge trend in cauliflower.”
Joseph Essas Jun 19, 2015 ▶ 14:53 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Essas: OpenTable's model learned 'crispy' and 'moist' carry positive sentiment
“The model started to get smarter, so the model started to understand things like to die for, crispy, and moist are all positive words, which wouldn't, you wouldn't necessarily understand otherwise.”
Joseph Essas Jun 19, 2015 ▶ 18:00 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Supported
OpenTable CTO Says Majority of Revenue Comes From Per-Diner Fees
“And so, so that's majority of our revenue comes from the dollar per person, which is, that's how we like it because that is per performance.”
Joseph Essas Jun 19, 2015 ▶ 24:38 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Essas: OpenTable used non-negative matrix factorization to find review topics
“Non-negative matrix factorization allowed us to break things into just make them much simpler and find topics easier.”
Joseph Essas Jun 19, 2015 ▶ 8:14 Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
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