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.
why aren't all 13 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
Lapsed Amazon Prime subscribers continue spending more than they did before subscribing
“People who became an Amazon Prime subscriber, even if they lapse, right, even if they are no longer a subscriber they're still spending more on Amazon after than they did before.”
Most hedge funds operate without any in-house coders, Michael Babineau says
“In reality most most hedge funds have a handful of analysts and just some back office support, right? They don't have any coders in house.”
Investors generally lack the technical skills to process messy credit card data
“Credit card transaction data is, it's a messy and, like, there, it's a messy data set with unstructured data problems baked into it. And the skill sets of investors, even the more technical ones those tend to lean more towards, like, time series analysis as op…”
Most Bay Area venture capital firms are Second Measure customers, Babineau claims
“And now most most of the VCs here in the Bay Area, they are our customers, you know”
Stitch Fix did not cannibalize department store spending, Second Measure found
“And what we found is that Stitch Fix had
no impact on department store spend.
Right?
People just started spending more on clothes.
Period.”
Peloton monthly active members have surpassed SoulCycle riders, Second Measure data shows
“I mean, the short version is that Peloton has now surpassed SoulCycle in terms of, like, the number of active Peloton members, right, and this is based on a spending based on spending behavior. Active Peloton members on a monthly basis have surpassed the numbe…”
Data science tools can be taught on the job, but math cannot
“It's our view that if you come in with that, that strong that strong, like, you know, mathy foundation, that learning the tools, like, the tools can be taught, right? We can, like, we're happy to help to help people get onboarded with, like, using Python. Like…”
Babineau: Data scientists' biggest mistake is assuming data is clean and perfect
“I'd say the, like, the number one mistake that people make is that they you know, they assume too much of the data. They assume the data's perfect, right?”
Second Measure sees 1B unique descriptions across 50B+ transactions
“So within our data set we have So we're looking at like, 50 plus billion transactions. We have one billion unique transaction descriptions.”
Raw credit card data contains three million different transaction representations for Macy's
“So, like, Macy's alone has like three million different representations.”
Second Measure acquired its first 150 clients with zero outbound sales
“We actually haven't done any outbound sales yet, right? We have a 150 clients. Every single one of them came to us through inbound, right?”