Theranos and the Blood-Testing Delusion
bloombergview.com
bloombergview.com
The problem is, it's not that simple. Biological variation and lab procedure variation and just plain dumb bad luck makes it so that any lab test should only be considered a single datapoint. To be taken seriously, but not to be taken as "the answer" in and of itself.
Technology can solve the lab procedure variation issue, but can't solve biological variation. Maybe it can alleviate the biological variation problem by making it feasible to test more frequently. However as you multiply the things you're measuring and multiply the frequency of testing you might end up testing too many hypotheses too frequently for your statistics to be reliable.
I'd love to have more tests more frequently. I work in medical informatics after all. But We need to be cautious about what will come out of it and not over-promise.
Much as we'd like it to be true, big squishy bags of water with bits of hardened calcium in them are not computers. Anything biological is hugely more noisy and far less deeply understood than anything we deal with in information technology.
I am absolutely convinced that we'll someday get to where Theranos wants to go - possibly even better - but it's going to take more time and it's going to have to come far more slowly. Costs need to get down a lot more.
You can't advertise and get funding for step 100 when we're still on step 3. This was their fatal sin.
Either way, given the interest I'm seeing in our program, I know the future will push forward. We're clearly still on the very beginning part of the adoption curve with this one -- way earlier than Theranos led us to believe -- but someday I think we'll have the data we want, and in continuous fashion too.
It's still all very reactive stuff though -- until we can read what our nervous system is communicating to the body, we're just playing an ugly, rudimentary form of catch-up. I don't see that really changing in my lifetime though.
And even if the results are accurate it's often not useful. See the amount of over-diagnosis and over-treatment that results from too much testing.
This article suggest it's because Holmes is "enthralling" and investors had an "exaggerated faith in the power of medical testing". Faith and charisma are very abstract concepts, but data and testing aren't, so why rely on the former instead of the latter? As Deming said, "In God we trust; all others must bring data."
Jail is also a pretty decent incentive to make people avoid overtly lying. Unfortunately its disproportional used on the poor and minorities instead of on professionals.
It's like buying a house in a hot market; cash offers with no contingencies win out over "smart" buyers who want to know what they're getting.
In the case of Theranos you also have how she was well know by Tim Draper (DFJ investor) apparently friends with his daughter. So he must have been smitten by her intellect possibly in comparison to his own daughter (my speculation but wouldn't surprise me).
http://www.mercurynews.com/michelle-quinn/ci_26147649/quinn-...
"Tim Draper, the venture capitalist, said Holmes, who was friends with his daughter growing up, is the first entrepreneur he knows who kept quiet about her business for so long "so that the competition wouldn't get a chance to start."
"She had a winner and knew it," he said. His firm DFJ Venture was the first to invest."
It turns out she's not a very remarkable person today, and wasn't as a 19 year old college dropout either.
She's always come across as a bit of an odd duck, even when the bubble hadn't burst [1]. People (investors) likely read into her what they wanted and the myth of the genius who's too smart for traditional paths provided a convenient framework to hang a cool story off of and allowed laziness to creep in. Her impressive personal connections were fuel.
One thing to watch and keep in mind as Theranos come unwound [2]
I don't understand why this article continually mixes one thing tests do(measuring physical quantities) with another(predicting disease) ? The way to evaluate theranos is whether they measure the physical quantities correctly(and it appears they are not), not with the complexity of predicting disease from those numbers. That's a job for other parts of the medical establishment.
http://fivethirtyeight.com/features/the-case-against-early-c...
E.g. my 82 year old father would be dead or severely suffering today if his routine, over 69 years of age PSA tests hadn't prompted his doctor to order a biopsy 5 years ago.
Point being simply that someone reading your original comment (or such comments generally) doesn't have the full context and might not realize it. I'm not making a point about your situation, but about how the internet is often misused by people seeking to make their own decisions. A subject that fascinates me.
Initially, all he and his doctor knew was that he was 77 years old and his routine, approved by the powers that be, PSA test results took a worrisome turn, bad enough that a biopsy was indicated.
My father's case only supports the Official Word, that starting at age 70 you should get PSA tests. WRT to people making their own decisions, I highly advise that, if you're 70 or older, to get regular PSA tests!
I highly advise you don't take medical advice from hga on Hacker News based on one anecdote. The Official Word from the U.S. Preventive Services Task Force is "The U.S. Preventive Services Task Force (USPSTF) recommends against prostate-specific antigen (PSA)-based screening for prostate cancer."
http://www.uspreventiveservicestaskforce.org/Page/Document/U...
https://www.sciencebasedmedicine.org/screening-for-disease-i...
Surgery for prostate cancer has some very serious side effects...
Why cancer screening has never been shown to “save lives”—and what we can do about it
Looking back at the Theranos hype, it was exactly the phrases that SV loves to hear, but without any of the data to back it up. That can work in software to some degree, where you can just build what you need, and it's just an engineering problem. You can't do that with science; nature is not as malleable as code.
Facebook never had such a personality centric story past the panache of coming out of Harvard and the Ivy League.
Theranos is not, and has never been a successful company, aside from hype and attracting investment. Their simple inability to properly and legally run a basic, conventional diagnostics lab suggests its not even in their DNA, even before one notes that they've only been able to get one finger stick test approved by the FDA.
http://www.nytimes.com/2016/04/27/opinion/dont-blame-silicon...
Maybe the solution isn't higher one-shot accuracy, as with nanotainers(tm). Maybe it is higher frequency? The idea of creating blood diagnostics for pennies is so compelling.
Hate to see diagnostic research suffer from one bad investment. Am reminded how Minsky-Papert's book on Perceptrons created a winter for neural net research.
Maybe it didn't matter that much whether the tests actually worked.
Needless to say, this won't make for a glamorous startup....
Don't have any links, it's just something that is said to likely be fruitful.
Also that higher time frequency I the data will also be revealing.
There is some research in support of this idea[1] but it remains highly speculative.
[1]http://med.stanford.edu/news/all-news/2012/03/revolution-in-...
With a $9B market cap already, even if Theramnos were able to take 100% of the market and have a higher margin product it would be at best a 2.5X return for its investors -- hardly a "10 bagger"!
I never "got" it because of those economics and the crazy science of tiny samples.
That natural biological fluctuation is exactly what pinprick blood testing could help with, because (in concept) the blood test could be delivered much more frequently, and measure the true variability.
The opposite problem exists with the tiny samples: blood like any other fluid, is not at all points identical at all times. You can easily demonstrate this for yourself: go to the drug store and buy a cheap glucose meter and take a bunch of samples just around the same finger, much less different fingers. You'll see a surprising level of variation. The larger samples of a conventional draw are shown to vary less.
They still vary (as the line you quote says) but less than the highly local samples.