[HN Gopher] Escaping Science's Paradox
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       Escaping Science's Paradox
        
       Author : stuart_buck
       Score  : 37 points
       Date   : 2020-10-21 19:26 UTC (3 hours ago)
        
 (HTM) web link (worksinprogress.co)
 (TXT) w3m dump (worksinprogress.co)
        
       | mountainboy wrote:
       | In my view science is failing because most of today's scientists
       | are unwilling to accept evidence that contradicts things they
       | were taught in school as "fact" that are little more than dogma.
       | The result is paradigms that are near impossible to overturn no
       | matter how much falsifying evidence there is or positive evidence
       | for an alternative theory.
       | 
       | A good scientist questions and examines EVERYTHING, especially
       | assumptions and basic principles. If something doesn't make
       | sense, that should be a big flashing warning light, not something
       | to memorize and regurgitate and repeat the party line.
       | 
       | Fundamental scientific advancements are slowing because we are
       | building on some wrong foundations.
       | 
       | A few examples of areas we've gone wrong and need to consider
       | alternatives:
       | 
       | * germ theory
       | 
       | * relativity
       | 
       | * cosmology (expansion, black holes, big bang, dark everything)
       | 
       | * plate tectonics/fixed size earth
       | 
       | * cause of modern chronic diseases
        
       | taylodl wrote:
       | This so much reminds me of my company's approach to innovation.
       | First, let's create an "innovation group" whose job it is to
       | innovate. They'll have their own budget. See investors? We're
       | innovating!
       | 
       | Make sure the innovation group isn't comprised of anyone with any
       | experience or expertise in the industry vertical, or any other
       | vertical for that matter. After all, we don't want them tainted
       | with experience! That may interfere with their innovation! They
       | can't be constrained by existing knowledge!
       | 
       | Create a plan for how the innovation group is going to innovate
       | because, you know, we need to show the investors what's being
       | bought with their money. So, let's look at the set of problems
       | that have been bedeviling us and everyone else in our industry
       | for years and lay them out on a roadmap! We're going to solve all
       | these problems!
       | 
       | What you end up with is a group comprised mostly of recent
       | college grads having next to no experience and a group of older
       | grifters who've decided to make a career out of "innovation."
       | Those poor college grads have no clue they're being conned and
       | that the grifters are blowing smoke up everyone's ass until 3-4
       | years later when little to nothing has been "innovated" they're
       | all let go. The grifters know when to bail, those poor college
       | grads don't. The grifters move on to con somebody else, the
       | college grads meanwhile struggle to find another job.
       | 
       | I've seen this play out several times at several different
       | companies. You'd think people would catch on and it would stop
       | but no one wants to admit they made a mistake. So the grifters
       | con on.
       | 
       | This is all to say you can't _plan_ innovation, just like you can
       | 't _plan_ inspiration. You need to have a company culture where
       | people can scratch their own itch and have time and resources
       | with which to innovate if they so desire. It 's the same with
       | science - you can't _plan_ discoveries and breakthroughs. You don
       | 't know _a priori_ where all the blind alleys are. Failure is
       | useful - it communicates to others where not to look, but no one
       | wants to admit the failures so they don 't tend to get published.
       | Therefore we only want to put our money on what we're reasonably
       | sure will succeed, which is risk-averse and here we are. More and
       | more money going in and fewer results coming out.
       | 
       | I feel like the 21st century is all about going through the
       | motions and not caring about the actual results.
        
       | plutonorm wrote:
       | Being a red team member would be my absolute dream job.
        
       | learnstats2 wrote:
       | When I was working in research, we had a journal group which each
       | week critiqued the statistics done in scientific journals - most
       | often contemporary articles from Science or Nature.
       | 
       | As I recall, every single one of the articles we looked at would
       | have failed our "Red Team" standards.
       | 
       | I don't (only) mean that they failed by making trivial errors of
       | statistics - I mean a small team of researchers could find
       | fundamental errors that potentially or likely undermined or
       | contradicted the whole article. It's not surprising that
       | something like 50% of the conclusions are not reproducible.
        
       | lliamander wrote:
       | If the problem of scientific innovation is merely one of policy
       | and incentives (rather than more fundamental limitations) should
       | we not be able to point to specific policies that were changed or
       | added that resulted in the slowdown of innovation?
       | 
       | If so, then I would think simply reverting back to a previous set
       | of policies would be sufficient.
        
       | dumbfoundded wrote:
       | Reproducibility seems like a social problem of people publishing
       | shitty science for citations. As for the rate of innovation,
       | discovery is certainly an NP-Hard problem. How can we guarantee
       | any sort of expected rate of innovation?
        
       | stuart_buck wrote:
       | On reproducibility and innovation in science.
        
       | yokaze wrote:
       | Personally, I am not a fan of an adversary approach.
       | 
       | I think, reproducing (or failing to reproduce) scientific results
       | simply should be given more value/money without incentives for
       | disproving the result.
       | 
       | The ability to reproduce a result drives also research as
       | currently often the authors are not motivated to make it easy.
       | And you don't get payed for simply redoing what was already
       | published.
        
         | learnstats2 wrote:
         | I don't think this has to be adversary.
         | 
         | Journals choose to set a standard for publication, which is
         | generally peer-review.
         | 
         | If journals instead set a standard which was that the work must
         | be reproducible (in other words: there must be instruction
         | enough for an independent team to reasonably be able to follow
         | and repeat what you did), then that sets a higher standard for
         | science.
         | 
         | Note that the peers in peer review are likely to mutually
         | ignore that type of requirement - rather than face that
         | requirement themselves.
        
       | zby wrote:
       | "I do not think there's a contradiction between reproducibility
       | and innovation. Contrary to common belief, we can improve both at
       | once - by incentivizing failed results, and by funding "Red
       | Teams" that would aim to refute existing dogma or would be
       | entirely outside it."
       | 
       | I don't know - the mechanism that creates the problem with
       | reproducibility is that all teams are "Red Teams". What is
       | published is what is unexpected, what deviates from a common
       | understanding, but nothing confirming what we would expect. Most
       | of what seems new and exciting comes out to be just random
       | accidents - that is natural, but it is a problem only when we put
       | too much weight to them.
        
       | feralimal wrote:
       | This is interesting.
       | 
       | I have a couple of points. It says:
       | 
       | "To be sure, the problem seems much less acute in harder sciences
       | - e.g., physics, chemistry, cosmology - that have an established
       | tradition of skepticism, replication, or even blinding
       | researchers to their own conclusions."
       | 
       | Of is this because there are very few people who are trying to
       | replicate the studies? The equipment is a barrier. Its not
       | clear...
       | 
       | My second point regards innovation, is that surely replicability
       | is essential. If studies aren't reliably replicated, what exactly
       | can the innovation be? So I see replication as a core issue.
       | 
       | Replicability is also only one of the problems science faces. The
       | other issue that isn't well discussed, is that funding comes from
       | 3 sources by and large - the government, the military and
       | corporations. We, as individuals, cannot assume that this method
       | of funding will serve our interests. Why would studies on 'good
       | food' receive funding over a new type of medication. When the
       | funding is tied to profit, or vested interests, there is only so
       | much inclination to 'rock the boat'.
       | 
       | But in general, I'm certainly glad this very major issue is being
       | discussed. I'm not holding my breath for any solutions. And I
       | only wish there was greater awareness of how much trust, or
       | faith, goes into un-skeptical acceptance of scientific
       | pronouncements.
        
         | Supermancho wrote:
         | > Of is this because there are very few people who are trying
         | to replicate the studies?
         | 
         | Getting funding to replicate an experiment, which necessarily
         | expanded to spend all of the available funding for the initial
         | experiment so as to minimize the problemspace, is problematic
         | with inflation alone. Imagine how human organizations work.
         | Decisioning about spending relies more on past data than
         | unknown data. If an experiment is in question, that's an
         | unknown. If a finding exists that's a known, so why bother
         | spending to reduce value? This is typical CYA thinking.
        
           | feralimal wrote:
           | Yes. I think we're agreeing... The costs are prohibitive, so
           | why do check? And if you know you aren't likely to get
           | checked and you're running a study that would be very nice to
           | have a particular outcome, well, wouldn't it be nice to get
           | that outcome? Only, that's not how science is meant to work.
        
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       (page generated 2020-10-21 23:00 UTC)