Bob Langer

Institute Professor, MIT · 1 appearance on the record.

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

academicscientistengineerfounderlangerlab.mit.edu ↗Wikipedia ↗

He directs MIT’s Langer Lab and is a foundational pioneer of controlled drug delivery systems and tissue engineering. He holds over 1,400 patents and has co-founded more than 40 biotechnology and pharmaceutical companies, including Moderna.

8statements → 6claims → 5claims resolved → 60%fully supported → 3.75/5average certainty → 1.5/5average debate potential →

3 supported 2 partly supported 0 contradicted 1 not checkable as stated how the 6 claims stand · each chip opens the sources

6 assertions · 1 opinion · 1 insight · every statement was checked. The predictions and assertions are the 6 claims: statements the public record can support or contradict. 5 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 Bob 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
Langer: Artificial hearts still use ladies' girdle material after 50 years
“If you wanted to make an artificial heart, what the clinicians did in 1967 is they said, well, what object in your house has a good flex life like a heart? And they came up with the idea of a lady's girdle. So they looked at what that was made out of, and It's…”
Bob Langer Jan 2, 2019 ▶ 1:11 a16z Podcast | Mindsets for Engineering Biology

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
67% 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? →

249 words/min while actually speaking · 15 um and uh per 1k words

No argument clarity score for Bob Langer: 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 the audio itself: 3,070 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

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

Opinion
Langer: Withdrawing Vioxx from the market in 2005 was wrong
“The second one that I think had a negative effect was the Vioxx situation in 2005, and, you know, there was just a small increase in deaths with this drug, but there were so many lawsuits over it, That people at the FDA would get called on the carpet for appro…”
Bob Langer Jan 2, 2019 ▶ 22:46 a16z Podcast | Mindsets for Engineering Biology
Assertion Supported
Langer: Artificial hearts still use ladies' girdle material after 50 years
“If you wanted to make an artificial heart, what the clinicians did in 1967 is they said, well, what object in your house has a good flex life like a heart? And they came up with the idea of a lady's girdle. So they looked at what that was made out of, and It's…”
Bob Langer Jan 2, 2019 ▶ 1:11 a16z Podcast | Mindsets for Engineering Biology
Assertion Partly supported
Langer: Breast implants rely on mattress stuffing and silicone lubricant
“That's still one of the two main breast implant materials. One is a mattress stuffing, and the other is actually a lubricant, which is silicone.”
Bob Langer Jan 2, 2019 ▶ 3:05 a16z Podcast | Mindsets for Engineering Biology
Insight
Langer: Nucleic acid therapeutics will fail without targeted delivery
“And these, I think delivery ends up being so critical because if you can't deliver them, you know, probably those drugs will not work.”
Bob Langer Jan 2, 2019 ▶ 5:35 a16z Podcast | Mindsets for Engineering Biology
Assertion Partly supported
Langer: Seven of Top 10 Best-Selling Drugs Are Protein Biologics
“If you look at the top 10 selling best drugs in, you know, this past year, seven of them were protein, are protein drugs. If you looked at it even 15 years ago, at best it would have been one, but now that's really the majority. And the sales are over two hund…”
Bob Langer Jan 2, 2019 ▶ 8:07 a16z Podcast | Mindsets for Engineering Biology
Assertion Supported
Langer: High-throughput screening solved Abbott's Norvir crystal crisis in two weeks
“Now, seven years later, what we did is, just in two weeks, using this high-throughput approach, not only created crystal form two, which is where they were when they stopped, but we also created crystal form one and discovered three new crystal forms that had …”
Bob Langer Jan 2, 2019 ▶ 12:48 a16z Podcast | Mindsets for Engineering Biology
Assertion Not checkable as stated
Langer: Academic involvement in startups was frowned upon in the 1980s
“If I go back to when I started, you know, doing this in the, you know, early eighties, that I think in academia, it was somewhat frowned upon. Of getting involved with very translational work and applied work in companies. And I don't think that that's, and I …”
Bob Langer Jan 2, 2019 ▶ 21:21 a16z Podcast | Mindsets for Engineering Biology
Assertion Supported
Langer: Local delivery via stents cuts systemic drug doses by 1,000x
“The systemic dose is maybe one 1000th of what it would be as if you swallowed it. So by delivering locally, you can totally change the safety and dosage profile.”
Bob Langer Jan 2, 2019 ▶ 6:47 a16z Podcast | Mindsets for Engineering Biology

Appearances (1)

EpisodeDateSpeaking time
a16z Podcast | Mindsets for Engineering Biology Jan 2, 2019 15m
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