DavidLS comments on Fixing Moral Hazards In Business Science - Less Wrong
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I am worried that standardized shipping will come with standardized package layout, and I'm guessing "preference of left vs right identical thing" correlates with something the system will eventually test. Having thought about it more, this is the real issue with allowing customers to choose which product they'll use: that decision has to be purely random if you want the math to be simple / understandable. I agree people are unlikely to actually flip a coin :/
Thankfully the fix is easy: you have the testing webapp decide for the participant. They receive the product, enter the numbers online, and are told which to use.
For non-crossover trials I agree this needlessly increases the cost. It's almost surely better to use a trusted third party.
Agree. I think having a trusted third party handle the shipments is cleaner at the moment. I'm still curious what blogospheroid's thread comes to. It seems like the paranoia of cryptoland is helping us see some more holes in modern experiment design (ie your thread on poisonous placebos).
Thanks for saying this. Looking closer, I actually think their existing Fulfillment APIs would just work for this (ie the webapp controls an Amazon fulfillment account, the person seeking a test ships two pallets of physical product there, the webapp says where to send them).
You are right, if we already have hosted our webapp at trust-place we should be able to use the existing Amazon API.
If the company whose product is tested simply ships additional copies to the Amazon warehouse, those copies could by achieved by the trusted organisation. If anybody doubts that the products are real the trusted organisation has copies that they can analyse. If the whole things scales the trusted organisation also can randomly inspect products to see if they contain what they should contain.
Yes cryptoparanoia is always fun ;) The web app could regularly publish hashes of the data of specific studies to a public block chain. That way any tempering that happens afterwards can be detected and you only need to trust that the web app is temper proof the moment the data gets transmitted.
This is a great point. Maybe community members could bet karma on the outcome of a tox screening? This could create a prioritized list.
One problem with my earlier suggestion is that some companies will want narrowly selected participant pools. These will necessarily differ from the population at large, and might create data that looks like a poison placebo is being used. I see two possible solutions to this problem:
I feel like #2 from above is unsatisfying though, if we think it works then why are we using normal placebos?
This would actually be really easy to implement. (Not the block chain portion, the per-study rolling checksums).