Jenny Lee

1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

investorauthorjournalistexecutiveengineer

Jenny Lee is an identity conflating venture capitalist Jenny Lee and author Jennifer 8. Lee. One is a Senior Managing Partner at Granite Asia, while the other is a former New York Times journalist and CEO of Plympton.

8statements → 7claims → 6claims resolved → 83%fully supported → 4.25/5average certainty → 1.38/5average debate potential →

5 supported 1 partly supported 0 contradicted 1 not checkable as stated how the 7 claims stand · each chip opens the sources

7 assertions · 1 disclosure · every statement was checked. The predictions and assertions are the 7 claims: statements the public record can support or contradict. 6 are resolved, and 1 names no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Jenny argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported

Lee: Standard Emoji Set Offers Only Four Gendered Roles for Women

“Because one of the big problems right now on, on the existing set of women as represented by emoji is like, there are only like really four roles for women to play compared to men. You know, men, you can be a sleuth or you can be, you know, a policeman. You ca…”

Jenny Lee Jan 2, 2019 ▶ 37:56 a16z Podcast | Not all Network Effects Are Created Equal

Expressed certainty vs assessment result

none yet certainty 1

none yet certainty 2

none yet certainty 3

90% certainty 4

100% certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

255 words/min while actually speaking · 7.3 um and uh per 1k words

No argument clarity score for Jenny Lee: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to 4,386 words across 2 episodes, but every recording we have of Jenny Lee is the aired feed, and an editor cleaned that audio before release. Some of the hesitation was cut before we ever heard it, so read these as floors: the true rates are at least this high. These are measurements of speaking style, not scores. How it's measured →

What they said8 Episodes1

Everything Jenny Lee said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Partly supported

Unicode Voting Power Concentrated Among US Tech Giants, SAP, and Oman

“No, so of those 12, so of those 12, nine are U.S. Multinational tech companies. Oracle, IBM, Google, Yahoo, Adobe, Facebook, Microsoft, and Symantec. Then of the other three full voting members, one is the German software company SAP, another is the Chinese te…”

Jenny Lee Jan 2, 2019 ▶ 25:13 a16z Podcast | Not all Network Effects Are Created Equal

Assertion Supported

Lee: Standard Emoji Set Offers Only Four Gendered Roles for Women

Jenny Lee Jan 2, 2019 ▶ 37:56 a16z Podcast | Not all Network Effects Are Created Equal

Assertion Supported

Unicode Consortium Has 12 Voting Members Paying $18,000 Annually

“Emoji are regulated by the Unicode Consortium, which is a non-profit organization Based in Mountain View, California, it now has 12 full voting members that pay 18,000 dollars a year just to vote on issues, including, like, emoji and other kind of, like, techn…”

Jenny Lee Jan 2, 2019 ▶ 24:57 a16z Podcast | Not all Network Effects Are Created Equal

Disclosure

Lee Successfully Passed Unicode Proposals for Dumpling and Takeout Emojis

“In January of 2016, we submitted a full proposal for dumplings, takeout box, chopsticks, and fortune cookies, and got those all passed.”

Jenny Lee Jan 2, 2019 ▶ 25:57 a16z Podcast | Not all Network Effects Are Created Equal

Assertion Supported

Unicode Emoji Criteria Explicitly Forbids Celebrities, Deities, and Logos

“Also, there's one of the more interesting rules, which is no celebrities, deities, or logos.”

Jenny Lee Jan 2, 2019 ▶ 26:56 a16z Podcast | Not all Network Effects Are Created Equal

Assertion Not checkable as stated

Lee: Existing Vendor Adoption Is Key to Unicode Emoji Approval

“One of the easiest things, actually, to get emoji passed is showing that a vendor uses it.”

Jenny Lee Jan 2, 2019 ▶ 29:45 a16z Podcast | Not all Network Effects Are Created Equal

Assertion Supported

Complex Emojis Combine Multiple Characters Using Zero-Width Joiners

“Is the gay family emoji originally, where they're not, it's not actually one emoji, you know, the one's like man, man, kid, kid. That is actually a compound emoji of four characters glued together using something called a quote, zero with joiner, which is basi…”

Jenny Lee Jan 2, 2019 ▶ 37:19 a16z Podcast | Not all Network Effects Are Created Equal

Assertion Supported

Lee: Kim Kardashian's Kimoji Are Image Stickers, Not Real Emojis

“So stickers, I mean, so Kim Moji, for example, Kim Kardashian's quote emoji, they're not actually emoji. Those are just stickers or images that you can text back and forth.”

Jenny Lee Jan 2, 2019 ▶ 43:28 a16z Podcast | Not all Network Effects Are Created Equal

Appearances (1)

Episode	Date	Speaking time
a16z Podcast \| Not all Network Effects Are Created Equal	Jan 2, 2019	10m

Jenny Lee

The record, in short

Their most notable supported claim

Expressed certainty vs assessment result

How they sound: speaking style how? →

Appearances (1)

Turn any episode into a week of clips.