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 3 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
Hsieh: Investors refused to fund online shoe companies after dot-com crash
“No, and also there were huge companies like pets.com that were e-commerce that were kind of imploding at the time, and so even if someone wanted to invest in an internet company, the last thing they wanted to do was invest in an online shoe company, because no…”
Tony Hsieh Nov 30, 2020 ▶ 16:41 Remembering Tony Hsieh of Zappos
Assertion Not checkable as stated
Following the dot-com crash, investors refused to fund online shoe startups
“No, and also there were huge companies like pets.com that were e-commerce that were kind of imploding at the time, and so even if someone wanted to invest in an internet company, the last thing they wanted to do was invest in an online shoe company, because no…”
Tony Hsieh May 20, 2019 ▶ 17:44 Zappos: Tony Hsieh (2017)
Assertion Not checkable as stated
Hsieh: Post-Crash Investors Believed No One Would Buy Shoes Online
“No, and also there were huge companies like pets.com that were e-commerce that were kind of imploding at the time, and so even if someone wanted to invest in an internet company, the last thing they wanted to do was invest in an online shoe company, because no…”
Tony Hsieh Jan 23, 2017 ▶ 15:15 Zappos: Tony Hsieh
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 800 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.