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Jeff Kaditz

Founder, CEO & CTO, Q Bio · 2 appearances on the record.

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

founderexecutiveengineerq.bio ↗

Jeff Kaditz is the founder, CEO, and CTO of Q Bio, a health technology company building full-body MRI hardware and digital twin software. He previously co-founded fintech company Affirm and served as Chief Data Officer at ngmoco.

18statements → 8claims → 6claims resolved → 67%fully supported → 3.83/5average certainty → 2.56/5average debate potential → 1said about them ↓

4 supported 2 partly supported 0 contradicted 2 not checkable as stated how the 8 claims stand · each chip opens the sources

8 assertions · 2 opinions · 8 insights · every statement was checked. The predictions and assertions are the 8 claims: statements the public record can support or contradict. 6 are resolved, and 2 name 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 Jeff 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
Kaditz: Annual physicals show no correlation with better patient health outcomes
“If you think about what the annual physical consists of, and actually if you ask most physicians and most research, there is actually no real correlation between outcomes and consistently doing annual physicals.”
Jeff Kaditz Jan 2, 2019 ▶ 0:41 a16z Podcast | Health Data -- A Feedback Loop for Humanity

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
80% certainty 4
none yet 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? →

260 words/min while actually speaking · 5.3 um and uh per 1k words

No argument clarity score for Jeff Kaditz: 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: 5,477 words across 2 episodes 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 Jeff Kaditz said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion
Kaditz: Building disease predictive models using single variables is asinine
“Human body is an extremely complicated system to build predictive models based on a single variable, which is exactly what clinical studies do. Because that's, you know, what they're designed to do, really, is, is pretty asinine.”
Jeff Kaditz Jan 2, 2019 ▶ 22:26 a16z Podcast | When Will Genomics Live Up to the Hype?
Insight
Kaditz: Genomic disease prediction requires time-series biomarker data
“I think in order for genomics to be used in diagnostics or predictive models of are you going to get sick, I think it has to be combined with actual time series biomarker data”
Jeff Kaditz Jan 2, 2019 ▶ 10:20 a16z Podcast | When Will Genomics Live Up to the Hype?
Assertion Supported
Kaditz: Annual physicals show no correlation with better patient health outcomes
“If you think about what the annual physical consists of, and actually if you ask most physicians and most research, there is actually no real correlation between outcomes and consistently doing annual physicals.”
Jeff Kaditz Jan 2, 2019 ▶ 0:41 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Longitudinal physiological data contains more information than genetics alone
“Even if you're a twin, even if two people have the same genome, they actually won't necessarily express the same phenotypes, which to us means that there's more information encoded in the evolution of your physiological state and the trajectories in your physi…”
Jeff Kaditz Jan 2, 2019 ▶ 4:33 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Genetic code alone cannot be the silver bullet for personalized medicine
“Human physiology is a long tail distribution. So your genetic code cannot be the kind of, you know, silver bullet that is magically going to bring us to the age of personalized medicine.”
Jeff Kaditz Jan 2, 2019 ▶ 4:53 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Data scientists would never discard 70-percent accurate diagnostics like mammograms
“If mammograms have a predictive power information value in terms of defining or predicting whether or not somebody has breast cancer with the 70% accuracy, no data scientist in the world would throw out a variable that gave you That amount of information. They…”
Jeff Kaditz Jan 2, 2019 ▶ 12:45 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Opinion
Kaditz: Patients should own and control all of their personal health data
“People should own and control information about their own bodies and have a right to whatever information they want about it, especially if it's, can be non-invasively gathered and, you know, they're willing to pay for it.”
Jeff Kaditz Jan 2, 2019 ▶ 17:47 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Tracking individual baselines is more sensitive than population-wide clinical thresholds
“Doing a clinical study and coming up with an absolute threshold is inherently, we know from a lot of other sciences, less sensitive than tracking deltas in the same system.”
Jeff Kaditz Jan 2, 2019 ▶ 23:16 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Donating personal health data impacts humanity far more than organ donation
“If I donate an organ, I can save one person's life. If I donate my data, I can help save the lives of every person who ever is born ever after me.”
Jeff Kaditz Jan 2, 2019 ▶ 28:28 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Value-based healthcare requires continuous monitoring to define success metrics
“If you're going to have a value-based care model, if you're not monitoring the population continuously and regularly, you really don't have a way to know if, you know, somebody is getting healthier or not. So unless we have a way to quantify what it means to g…”
Jeff Kaditz Jan 2, 2019 ▶ 7:17 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Assertion Not checkable as stated
Kaditz: Physiological states contain a million trillion times more information than genomes
“The best estimates we have for a complete representation of your physiological state at a point in time Is that it's a million trillion times more information.”
Jeff Kaditz Jan 2, 2019 ▶ 20:20 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Assertion Supported
Kaditz: Somatic DNA replication transfers 500 terabytes of data per second
“I think the data transfer rate of somatic DNA in your body is about 500 terabytes per second.”
Jeff Kaditz Jan 2, 2019 ▶ 4:15 a16z Podcast | When Will Genomics Live Up to the Hype?
Insight
Kaditz: Pharmacogenomics is the lowest-hanging fruit in genomic applications
“Using genetics to determine which drugs you're most likely to respond to. I think that that is, like, the lowest hanging fruit.”
Jeff Kaditz Jan 2, 2019 ▶ 10:05 a16z Podcast | When Will Genomics Live Up to the Hype?
Assertion Partly supported
Kaditz: Dental care costs fell in real terms while healthcare skyrocketed
“If you look at the cost of dental care over time, it's flat or down in inflation-adjusted dollars, and the quality of the care has gone up. If you look at over the exact same period of time in healthcare, it's the exact opposite trend.”
Jeff Kaditz Jan 2, 2019 ▶ 18:26 a16z Podcast | When Will Genomics Live Up to the Hype?
Assertion Partly supported
Kaditz: Dental care costs are flat or falling while oral health quality improves
“By most metrics, even adjusted for inflation, the cost of dental care is staying flat or going down. But at the same time, the quality of our dental health is going up”
Jeff Kaditz Jan 2, 2019 ▶ 1:24 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Assertion Supported
Kaditz: Most lethal diseases reach advanced stages before symptoms appear
“Most of the most lethal diseases, by the time you're symptomatic, you're in an advanced stage.”
Jeff Kaditz Jan 2, 2019 ▶ 8:27 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Assertion Not checkable as stated
Kaditz: Discarding raw medical data prevents the building of predictive models
“Like right now in medicine, a lot of times we store the result of a diagnostic, but we don't keep the measurement, which actually prohibits us from going back and building models that, you know, in reusing the measurement.”
Jeff Kaditz Jan 2, 2019 ▶ 14:17 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Assertion Supported
Kaditz: Dentists often provide the first detection of asymptomatic heart disease
“There are papers and research studies that show that there's a lot of diseases, you know, that somebody can be, you know, have no symptoms for like cardiac disease that dentists get the first look at cause it's correlated to gum disease.”
Jeff Kaditz Jan 2, 2019 ▶ 15:50 a16z Podcast | Health Data -- A Feedback Loop for Humanity

The other half of the tape: Jeff Kaditz's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on the a16z Podcast. every mention, with the transcript →

Who brings them up most Alex Rampell 1

Every mention by year

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0112026episodes it came up in
000.50.5112026episodesmentions per episode
2026 1 mention in 1 episode

Appearances (2)

EpisodeDateSpeaking time
a16z Podcast | When Will Genomics Live Up to the Hype? Jan 2, 2019 6m
a16z Podcast | Health Data -- A Feedback Loop for Humanity Jan 2, 2019 19m
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