[HN Gopher] Ortega hypothesis
       ___________________________________________________________________
        
       Ortega hypothesis
        
       Author : Caiero
       Score  : 162 points
       Date   : 2025-10-08 16:06 UTC (6 hours ago)
        
 (HTM) web link (en.wikipedia.org)
 (TXT) w3m dump (en.wikipedia.org)
        
       | pavel_lishin wrote:
       | > _Even minor papers by the most eminent scientists are cited
       | much more than papers by relatively unknown scientists_
       | 
       | I wonder if this is because a paper with such a citation is
       | likely to be taken more seriously than a citation that might
       | actually be more relevant.
        
         | observationist wrote:
         | It's a status game, primarily - they want credibility by
         | association. Erdos number and those type of games are very
         | significant in academia, and part of the underlying dysfunction
         | in peer review. Bias towards "I know that name, it must be
         | serious research" and assumptions like "Well, if it's based on
         | a Schmidhuber paper, it must be legitimate research" make peer
         | review a very psychological and social game, rather than a
         | dispassionate, neutral assessment of hypotheses and results.
         | 
         | There's also a monkey see, monkey do aspect, where "that's just
         | the way things are properly done" comes into play.
         | 
         | Peer review as it is practiced is the perfect example of
         | Goodhart's law. It was a common practice in academia, but not
         | formalized and institutionalized until the late 60s, and by the
         | 90s it had become a thoroughly corrupted and gamed system.
         | Journals and academic institutions created byzantine practices
         | and rules and just like SEO, people became incentivized to hack
         | those rules without honoring the underlying intent.
         | 
         | Now significant double digit percentages of research across all
         | fields meet all the technical criteria for publishing, but up
         | to half in some fields cannot be reproduced, and there's a
         | whole lot of outright fraud, used to swindle research dollars
         | and grants.
         | 
         | Informal good faith communication seemed to be working just
         | fine - as soon as referees and journals got a profit incentive,
         | things started going haywire.
        
           | mattkrause wrote:
           | I'm sure status is part of it but I think it's almost
           | certainly driven by "availability."
           | 
           | Big names give more talks in more places and people follow
           | their outputs specifically (e.g., author-based alerts on
           | PubMed or Google Scholar), so people are more aware of their
           | work. There are often a lot of papers one could cite to make
           | the same point, and people tend to go with the ones that
           | they've already got in mind....
        
         | dimatura wrote:
         | There's definitely a "rich get richer" effect for academic
         | papers. A highly cited paper becomes a "landmark paper" that
         | people are more likely to read, and hence cite - but also, at a
         | certain point it can also become a default "safe" or "default"
         | paper to cite in a literature review for a certain topic or
         | technique, so out of expediency people may cite it just to
         | cover that base, even if there's a more relevant related paper
         | out there. This applies especially in cases where researchers
         | might not know an area very well, so it's easy to assume a
         | highly cited paper is a relevant one. At least for conferences,
         | there's a deadline and researchers might just copy paste what
         | they have in their bibtex file, and unfortunately the
         | literature review is often an afterthought, at least from my
         | experience in CV/ML.
         | 
         | Another related "rich get richer" effect is also that a famous
         | author or institution is a noisy but easy "quality" signal. If
         | a researcher doesn't know much about a certain area and is not
         | well equipped to judge a paper on its own merits, then they
         | might heuristically assume the paper is relevant or interesting
         | due to the notoriety of the author/institution. You can see
         | this easily at conferences - posters from well known authors or
         | institutions will pretty much automatically attract a lot more
         | visitors, even if they have no idea what they're looking at.
        
       | NullHypothesist wrote:
       | > the opposing "Newton hypothesis", which says that scientific
       | progress is mostly the work of a relatively small number of great
       | scientists (after Isaac Newton's statement that he "stood on the
       | shoulders of giants")
       | 
       | I guess the Ortega equivalent statement would be "I stood on top
       | of a giant pile of tiny people"
       | 
       | ...Not quite as majestic, but hey, if it gets the job done...
        
         | otikik wrote:
         | It's still giants. Giant accumulated effort from many
         | individuals.
        
         | antognini wrote:
         | "If I have not seen as far as others, it is because giants have
         | been standing on my shoulders." --Hal Abelson
        
       | d--b wrote:
       | People in humanities still haven't understood that pretty mich
       | everything in their fields is never all black or all white.
       | 
       | It's a bizarre debate when it's glaringly obvious that small
       | contributions matter and big contributions matter as well.
       | 
       | But which contributes more, they ask? Who gives a shit, really?
        
         | eszed wrote:
         | Humanities? Why'd you drag humanities into this?
         | 
         | (I agree with your point, by the way.)
        
           | d--b wrote:
           | the guy who coined the term Ortega Analysis is a sociologist.
           | This is the branch of humanities that studies behaviors in a
           | scientific setting.
        
         | oytis wrote:
         | > it's glaringly obvious that small contributions matter
         | 
         | Not at all obvious to me. What were the small contributions to
         | e.g. the theory of gravity?
        
           | saalweachter wrote:
           | The measurements of the movements of the stars and planets,
           | perhaps?
           | 
           | I guess Kepler got by just using Brahe's observations, but
           | for more modern explorations of gravity there's a boatload of
           | people collecting data.
        
           | d--b wrote:
           | Well Newton made a huge contribution for sure, but to be able
           | to state his theory he clearly had to use a bunch of math,
           | not all of which came from reknowned mathematicians.
           | 
           | And Einstein didn't pull out special relativity out of his
           | brain alone. There were years of intense debate about the
           | ether and things I totally forgot by now.
           | 
           | And take something like MOND, there has been tons of small
           | contribution to try to prove / disprove / tweak the theory.
           | If it ever comes out as something that holds, it'd be from a
           | lot of people doing the grind.
        
         | dleeftink wrote:
         | > People in humanities still haven't understood that pretty
         | mich everything in their fields is never all black or all white
         | 
         | I think most would be very open to be checked on their priors,
         | but I would be very surprised if those could be designated a
         | single color. In fact, the humanities revel in various hues and
         | grays rather than stark contrasts.
        
         | skinner_ wrote:
         | > But which contributes more, they ask? Who gives a shit,
         | really?
         | 
         | Funding agencies? Should they prioritize established
         | researchers or newcomers? Should they support many smaller
         | grant proposals or fewer large ones?
        
       | TrainedMonkey wrote:
       | Some other hypothesis:
       | 
       | - Newton - predicts that most advances are made by standing on
       | the shoulders of giants. This seems true if you look at citations
       | alone. See https://nintil.com/newton-hypothesis
       | 
       | - Matthew effect - extends successful people are successful
       | observation to scientific publishing. Big names get more funding
       | and easier journal publishing, which gets them more exposure, so
       | they end up with their labs and get their name on a lot of
       | papers. https://researchonresearch.org/largest-study-of-its-kind-
       | sho...
       | 
       | If I was allowed to speculate I would make a couple of
       | observations. First one is that resources play a huge role in
       | research, so overall progress direction is influenced more by the
       | economics rather than any group. For example every component of a
       | modern smartphone got hyper optimized via massive capital
       | injections. Second one is that this is a real world and thus
       | likely some kind of power law applies. I don't know the exact
       | numbers, but my expectation is that top 1% of researches produce
       | way more output than bottom 25%.
        
         | Qem wrote:
         | > Newton - predicts that most advances are made by standing on
         | the shoulders of giants.
         | 
         | Leibniz did the same, in the same timeframe. I think this lends
         | credence to the Ortega hypothesis. We see the people that
         | connect the dots as great scientists. But the dots must be
         | there in first place. The dots are the work of the miriad
         | nameless scientists/scholars/scribes/artisans. Once the dots
         | are in place, somebody always shows up to take the last hit and
         | connect them. Sometimes multiple individuals at once.
        
           | matthewdgreen wrote:
           | Which raises the question of whether there are any results so
           | surprising that it's unlikely that any other scientists would
           | have stumbled onto them in a reasonable time frame.
        
             | interroboink wrote:
             | I've heard Einstein's General Relativity described that
             | way.
             | 
             | Special Relativity was not such a big breakthrough.
             | Something like it was on the verge of being described by
             | somebody in that timeframe -- all the pieces were in place,
             | and science was headed in that direction.
             | 
             | But General Relativity really took everyone by surprise.
             | 
             | At least, that's my understanding from half-remembered
             | interviews from some decades ago (:
        
           | oytis wrote:
           | > The dots are the work of the miriad nameless
           | scientists/scholars/scribes/artisans
           | 
           | That is not plausible IMO. Nobody has capacity to read the
           | works of a miriad of nameless scientists, not even Isaac
           | Newton. Even less likely that Newton and Leibnitz were both
           | familiar with the same works of minor scientists.
           | 
           | What is much more likely, is that well-known works of other
           | great mathematicians prepared the foundation for both to
           | reach similar results
        
             | Qem wrote:
             | > Nobody has capacity to read the works of a miriad of
             | nameless scientists
             | 
             | It gets condensed over time. Take for example Continental
             | Drift/Plate Tectonics theory. One day Alfred Wegener saw
             | the coasts of West Africa and East South America were
             | almost a perfect fit, and connected the dots. But he had no
             | need to read the work of the many surveyors that braved
             | unknown areas and mapped the coasts of both continents in
             | the previous 4-5 centuries, nautical mile by nautical mile,
             | with the help of positional astronomy. The knowledge was
             | slowly integrated, cross checked and recorded by
             | cartographers. Alfred Wegener insight happened at the end
             | of a long cognitive funnel.
        
             | XorNot wrote:
             | That's what review papers are for, and they're published
             | regularly.
             | 
             | One of the ongoing practices of science is people putting
             | out summaries of the state of different parts of fields of
             | work (and reviews of reviews etc.)
        
           | marcosdumay wrote:
           | Well, Leibniz did a different thing, with a similar part.
           | 
           | What does not go against the hypothesis. Both of their works
           | were heavily subsided by less known researchers that came
           | before them. But it's not clear at all if somebody else would
           | do what they did on each of their particular field. (Just
           | like it's not clear the work they built upon was in any way
           | "mediocre".)
           | 
           | It's very hard to judge science. Both in predictive and
           | retrospective form.
        
         | ajross wrote:
         | > Newton - predicts that most advances are made by standing on
         | the shoulders of giants
         | 
         | Giants can be wrong, though; so there's a "giants were standing
         | on our shoulders" problem to be solved. The amyloid-beta
         | hypothesis held up Alzheimer's work for decades based on a
         | handful of seemingly-fraudulent-but-never-significantly-
         | challenged results by the giants of the field.
         | 
         | Kuhn's "paradigm shift" model speaks to this. Eventually the
         | dam breaks, but when it does it's generally _not_ by the sudden
         | appearance of new giants but by the gradual erosion of support
         | in the face of years and years of bland experimental work.
         | 
         | See also astronomy right now, where a never-really-satisfying
         | LCDM model is finally failing in the face of new data. And it
         | turns out _not_ only from Webb and new instruments! The older
         | stuff never fit too but no one cared.
         | 
         | Continental drift had a similar trajectory, with literally
         | hundreds of years of pretty convincing geology failing to
         | challenge established assumptions until it all finally clicked
         | in the 60's.
        
         | jvanderbot wrote:
         | As with all things - both are probably true.
         | 
         | It might be that we attribute _post hoc_ greatness to a small
         | number of folks, but require a lot of very interested  /
         | ambitious folks to find the most useful threads to pull, run
         | the labs, catalog data, etc.
         | 
         | It's only after the fact that we go back and say "hey this was
         | really useful". If only we knew ahead of time that Calculus and
         | "tracking stars" would lead to so many useful discoveries!
        
         | ramesh31 wrote:
         | >Matthew effect - extends successful people are successful
         | observation to scientific publishing. Big names get more
         | funding and easier journal publishing, which gets them more
         | exposure, so they end up with their labs and get their name on
         | a lot of papers.
         | 
         | There's a ton of this among all historical figures in general.
         | Any great person you can name throughout history, almost
         | without exception, were born to wealthy connected families that
         | set them on their course. There are certainly exceptions of
         | self made people here and there, and they do tend to be much
         | more interesting. But just about anyone you can easily name in
         | the history math/science/philosophy were rich kids who were
         | afforded the time and resources to develop themselves.
        
       | unsupp0rted wrote:
       | I am instantly skeptical of hypotheses that sound nice and
       | egalitarian.
       | 
       | Nature is usually 80/20. In other words, 80% of researchers
       | probably might as well not exist.
        
         | pryelluw wrote:
         | But without the 80%, how would the 20% exist?
        
           | hobs wrote:
           | And more specifically, if you knew which science to fund
           | ahead of time we'd never have anything but 100% successes,
           | science is often random and huge parts of it are not
           | obviously useful ahead of time, some of which later becomes
           | enormously useful.
        
           | unsupp0rted wrote:
           | Conversely, without the 80% the 20% might be unencumbered.
           | 
           | Imagine 2 Earths : one with 10 million researchers and the
           | other with 2 million, but the latter is so cut-throat that
           | the 2 million are Science Spartans.
        
             | ceejayoz wrote:
             | https://en.wikipedia.org/wiki/Spartan_hegemony
             | 
             | > Due to their mistrust of others, Spartans discouraged the
             | creation of records about their internal affairs. The only
             | histories of Sparta are from the writings of Xenophon,
             | Thucydides, Herodotus and Plutarch, none of whom were
             | Spartans.
             | 
             | A good example, but perhaps not the point you wanted to
             | make.
        
               | unsupp0rted wrote:
               | Either way the word "spartan" now connotes an aversion to
               | cruft
        
         | umutisik wrote:
         | You still need the other 80% of the folks to get the remaining
         | 20% of the work done :)
        
         | ihm wrote:
         | > Nature is usually 80/20. In other words, 80% of researchers
         | probably might as well not exist.
         | 
         | What does this even mean? Do you think in an ant colony only
         | the queen is needed? Or in a wolf pack only the strongest wolf?
        
         | thmsths wrote:
         | It's not that everyone contributes equally. It's that
         | everyone's contribution matters. And while small contributions
         | are less impressive, they are also more numerous, much more
         | numerous which means that it's not out of the question that in
         | aggregate they matter more; which means they should not be
         | discounted. As Napoleon allegedly said "quantity has a quality
         | of its own".
        
           | jvanderbot wrote:
           | Moreover, the researchers _are_ the contributing 20% (or more
           | like 2%). It 's probably fractal, but if you zoom out even a
           | little, there's a long tail of not-much in any group.
        
         | laidoffamazon wrote:
         | "Might as well not exist" - what should be done of the bottom
         | 80% of society then? I'm sure this applies to SWEs too.
        
         | captainbland wrote:
         | The Pareto principle gets "interesting" when you involve
         | hierarchical categories. For instance, the category of
         | "researchers" is arguably arbitrary. Why not research labs? Why
         | not research universities? If we write off 80% of universities,
         | 80% of labs in that top 20% of universities and 80% of
         | researchers within that top 20% of labs then actually the
         | number of impactful researchers would in fact be .2 * .2 *.2 or
         | 0.8% of researchers which seems extreme.
         | 
         | That said if we took 20% of all working people are doing useful
         | work, then can you guarantee not all research scientists are
         | within that category?
         | 
         | And indeed there are different fields and the distributions of
         | effectiveness may be incomparable.
         | 
         | I think the nature of scientific and mathematical research is
         | interesting in that often "useless" findings can find
         | surprising applications. Boolean algebra is an interesting
         | example of this in that until computing came about, it seemed
         | purely theoretical in nature and impactless almost by
         | definition. Yet the implications of that work underpinned the
         | design of computer processors and the information age as such.
         | 
         | This creates a quandary: we can say perhaps only 20% of work is
         | relevant, but we don't necessarily know which 20% in advance.
        
           | thmsths wrote:
           | Your last point reminds me of that joke about Hollywood: a
           | bunch of Japanese executives are touring a studio they just
           | purchased. The manager is trying to describe the business
           | model to them: "You have to understand we make 10 movies a
           | year but only 1 of them will make money." When they hear that
           | the executives get agitated and huddle together. Eventually
           | one of them turns toward the manager and says "Please only
           | make that 1 profitable movie".
        
         | oytis wrote:
         | Also the evidence for Newton hypothesis seems so much stronger.
         | Like, how do you even measure the invisible influence of
         | mediocre scientists?
        
         | ozim wrote:
         | I don't see it as egalitarian -- you need 80% people doing
         | ground work so that you can send couple guys to the moon.
         | Without those 80% digging the trenches you have nothing.
        
       | elicash wrote:
       | I was disappointed to read he didn't name it after himself in an
       | ironic display of humility.
       | 
       | ("Ortega most likely would have disagreed with the hypothesis
       | that has been named after him...")
        
       | renewiltord wrote:
       | It's probably like venture capital. There are many scientists who
       | test many hypotheses. Many are bad at generating hypotheses or
       | running tests. Some are good at one or the other. Some are good
       | at both and just happen to pick the ones that don't work. Some
       | are good at all.
       | 
       | But you can't tell ahead of time which one is which. Maybe you
       | can shift the distribution but often your pathological cases
       | excluded are precisely the ones you wanted to not exclude (your
       | Karikos get Suhadolniked). So you need to have them all work.
       | It's just an inherent property of the problem.
       | 
       | Like searching an unsorted n list for a number. You kind of need
       | to test all the numbers till you find yours. The search cost is
       | just the cost. You can't uncost it by just picking the right
       | index. That's not a meaningful statement.
        
         | theurerjohn3 wrote:
         | there is blog post somewhere i read, i cannot find it at the
         | moment, that discusses the idea of "doctor problems" vs
         | "musician problems". Doctor problems are problems where low
         | quality solutions are deeply bad, so you should avoid them even
         | if it involves producing fewer high quality solutions, while
         | musician problems are ones where high quality solutions are
         | very very worth it, so you should encourgage as many tries as
         | possible so you get the super high quality wins. This seems a
         | useful frame of reference, but not really the Ortega Hypothesis
         | 
         | it seems clear to me that the downside of society having a bad
         | scientist is relatively low, so long as theres a gap between
         | low quality science and politics [0], while the upside is huge.
         | 
         | 0. https://en.wikipedia.org/wiki/Trofim_Lysenko
        
       | ckemere wrote:
       | I think citations are an insufficient metric to judge these
       | things on. My experience in writing a paper is that I have formed
       | a well defined model of the world, such that when I write the
       | introduction, I have a series of clear concepts that I use to
       | ground the work. When it comes to the citations to back these
       | ideas, I often associate a person rather than a particular paper,
       | then search for an appropriate paper by that person to cite. That
       | suggests that other means for creating that association - talks,
       | posters, even just conversations- may have significant influence.
       | That in turn suggests a variety of personality/community
       | influences that might drive "scientific progress" as measured by
       | citation.
        
         | derbOac wrote:
         | I agree completely.
         | 
         | My own experience in watching citation patterns, not even with
         | things that I've worked on, is that certain authors or groups
         | attract attention for an idea or result for all kinds of weird
         | reasons, and that drives citation patterns, even when they're
         | not the originator of the results or ideas. This leads to weird
         | patterns, like the same results before a certain "popular"
         | paper being ignored even when the "popular" paper is incredibly
         | incremental or even a replication of previous work; sometimes
         | previous authors discussing the same exact idea, even well-
         | known ones, are forgotten in lieu of a newer more charismatic
         | author; various studies have shown that retracted zombie papers
         | continue to be cited at high rates as if they were never
         | retracted; and so forth and so on.
         | 
         | I've kind of given up trying to figure out what accounts for
         | this. Most of the time it's just a kind of recency availability
         | bias, where people are basically lazy in their citations, or
         | rushed for time, or whatever. Sometimes it's a combination of
         | an older literature simply being forgotten, together with a
         | more recent author with a lot of notoriety for whatever reason
         | discussing the idea. Lots of times there's this weird cult-like
         | buzz around a person, more about their personality or
         | presentation than anything else -- as in, a certain person gets
         | a reputation as being a genius, and then people kind of assume
         | whatever they say or show hasn't been said or shown before,
         | leading to a kind of self-fulfilling prophecy in terms of
         | patterns of citations. I don't even think it matters that what
         | they say is _valid_ , it just has to garner a lot of attention
         | and agreement.
         | 
         | In any event, in my field I don't attribute a lot to
         | researchers being famous for any reason other than being
         | famous. The Matthew effect is real, and can happen very
         | rapidly, for all sorts of reasons. People also have a short
         | attention span, and little memory for history.
         | 
         | This is all especially true of more recent literature. Citation
         | patterns pre-1995 or so, as is the case with those Wikipedia
         | citations, are probably not representative of the current
         | state.
        
           | cubefox wrote:
           | Yeah. One example of people mindlessly mass citing some
           | random paper is this: Chain of thought (CoT) prompting was
           | used in the past to greatly enhance the reasoning ability of
           | LLMs. Usually this paper is cited when CoT is discussed:
           | 
           | https://arxiv.org/abs/2201.11903
           | 
           | It has over 20,000 citations according to Google Scholar. But
           | clearly the technique was not invented by these authors. It
           | was known 1.5 years earlier, just after GPT-3 came out:
           | 
           | https://xcancel.com/kleptid/status/1284069270603866113#m
           | 
           | Perhaps even longer. But the paper above is cited
           | nonetheless. Probably because there is pressure to cite
           | _something_ and the title of that paper sounds like they
           | pioneered it. I doubt many people who cite it have even read
           | it.
           | 
           | Another funny example is that in machine learning and some
           | other fields, a success measure named "Matthews Correlation
           | Coefficient" (MCC) is used. It's named after some biochemist,
           | Brian Matthews, who used it in a paper from 1975. Needless to
           | say, he didn't invent it at all, he just used the well-known
           | binary version of the well-known correlation coefficient.
           | People who named the measure "MCC" apparently thought he
           | invented it. Matthews probably just didn't bother to cite any
           | sources himself.
        
         | paulpauper wrote:
         | Citations are ripe for abuse . I have seen it especially in
         | computer science , where authors will cite and coauthor each
         | other's mediocre papers. The result is very high citation and
         | publication counts, because the work has been divided among
         | many people.
        
       | qrian wrote:
       | This sounds like the concept of 'normal science' in paradigm
       | theory.
        
       | rcpt wrote:
       | > Ortega most likely would have disagreed with the hypothesis
       | that has been named after him, as he held not that scientific
       | progress is driven mainly by the accumulation of small works by
       | mediocrities, but that scientific geniuses create a framework
       | within which intellectually commonplace people can work
       | successfully
       | 
       | This is hilarious
        
         | robomc wrote:
         | To me this kind of sounds like the other side of the same
         | thing. Lunchpail scientists accumulate data within an area of
         | research made interesting by a landmark work by a big name.
         | Future big names make breakthroughs by drawing together a lot
         | of the lunchpail work. etc etc
        
       | stronglikedan wrote:
       | Smart people know how to aggregate and apply relevant data that
       | others worked to bring to fruition.
        
       | _verandaguy wrote:
       | Are Ortega and Newton mutually exclusive? Isn't the case much
       | more likely that both:
       | 
       | - Significant advances by individuals or small groups (the
       | Newtons, Einsteins, or Gausses of the world), enable narrowly-
       | specialized, incremental work by "average" scientists, which
       | elaborate upon the Great Advancement...
       | 
       | - ... And then those small achievements form the body of work
       | upon which the _next_ Great Advancement can be built?
       | 
       | Our potential to contribute -- even if you're Gauss or Feynman or
       | whomever -- is limited by our time on Earth. We have tools to
       | cheat death a bit when it comes to knowledge, chief among which
       | are writing systems, libraries of knowledge, and the compounding
       | effects of decades or centuries of study.
       | 
       | A good example here might be Fermat's last theorem. Everyone
       | who's dipped their toes in math even at an undergraduate level
       | will have at least heard about it, and about Fermat. People
       | interested in the problem might well know that it was proven by
       | Andrew Wiles, who -- almost no matter what else he does in life
       | -- will probably be remembered mainly as "that guy who proved
       | Fermat's last theorem." He'll go down in history (though likely
       | not as well-known as Fermat himself).
       | 
       | But who's going to remember all the people along the way who
       | _failed_ to prove Fermat? There have been hundreds of serious
       | attempts over the four-odd centuries that the theorem had been
       | around, and I 'm certain Wiles had referred to their work while
       | working on his own proof, if only to figure out what _doesn 't_
       | work.
       | 
       | ---
       | 
       | There's another part to this, and that's that as our
       | understanding of the world grows, Great Advancements will be ever
       | more specialized, and likely further and further removed from
       | common knowledge.
       | 
       | We've gone from a great advancement being something as
       | _fundamental_ as positing a definition of pi, or the Pythagorean
       | theorem in Classical Greece; to identifying the slightly more
       | abstract, but still intuitive idea that white light is a
       | combination of all other colours on the visible spectrum and that
       | the right piece of glass can refract it back into its
       | "components" during the Renaissance; to the fundamentally less
       | intuitive but no less groundbreaking idea of atomic _orbitals_ in
       | the early 20th century.
       | 
       | The Great Advancements we're making now, I struggle to understand
       | the implications of even as a technical person. What would a
       | memristor really do? What do we do with the knowledge that
       | gravity travels in waves? It's great to have solved _n_ -higher-
       | dimensional sphere packing for some two-digit _n_... but I 'll
       | have to take you at your word that it helps optimize cellular
       | data network topology.
       | 
       | The amount of context it takes to understand these things
       | requires a lifetime of dedicated, focused research, and that's to
       | say nothing of what it takes to find _applications_ for this
       | knowledge. And when those discoveries are made and their
       | applications are found, they 're just so abstract, so far removed
       | from the day-to-day life of most people outside of that
       | specialization, that it's difficult to even explain why it
       | matters, no matter what a quantum leap that represents in a given
       | field.
        
       | nhatcher wrote:
       | Interesting, I didn't know there was such a thing (despite having
       | read quite a lot of Ortega y Gasset).
       | 
       | Compare this with paradigm shifts in T. S. Kuhns The structure of
       | scientific revolutions:
       | 
       | https://en.wikipedia.org/wiki/The_Structure_of_Scientific_Re...
        
         | roughly wrote:
         | Strongly recommend The Structure of Scientific Revolutions - I
         | actually think it ties a bow pretty neatly between the Ortega
         | and Newton hypotheses.
        
       | throwaway72610 wrote:
       | Chronologies toward a working theory of advancing science, which
       | is the subject of Orgega's contention for mediocre scholars,
       | working on accumulating citations, footnotes, etc. For a proper
       | understanding of technical pieces, Cal Newport's concept of deep
       | work is essential.
        
       | IshKebab wrote:
       | > According to Ortega, science is mostly the work of geniuses,
       | and geniuses mostly build on each other's work, but in some
       | fields there is a real need for systematic laboratory work that
       | could be done by almost anyone.
       | 
       | That seems correct to me. Imagine having a hypothesis named after
       | you that a) you disagree with, and b) seems fairly doubtful at
       | best!
        
       | dang wrote:
       | Related:
       | 
       |  _Ortega hypothesis_ -
       | https://news.ycombinator.com/item?id=20247092 - June 2019 (1
       | comment)
        
       | btilly wrote:
       | I believe that this hypothesis is wrong.
       | 
       | More specifically, I believe that scientific research winds up
       | dominated by groups who are all chasing the same circle of
       | popular ideas. These groups start because some initial success
       | produced results. This made a small number of scientists achieve
       | prominence. Which makes their opinion important for the
       | advancement of other scientists. Their goodwill and
       | recommendations will help you get grants, tenure, and so on.
       | 
       | But once the initial ideas are played out, there is little
       | prospect of further real progress. Indeed that progress usually
       | doesn't come until someone outside of the group pursues a new
       | idea. At which point the work of those in existing group will
       | turn out to have had essentially no value.
       | 
       | As evidence for my belief, I point to
       | https://www.chemistryworld.com/news/science-really-does-adva....
       | It documents that Planck's principle is real. Fairly regularly,
       | people who become star researchers, wind up holding back further
       | process until they die. After they die, new people can come into
       | the field, pursuing new ideas, and progress resumes. And so it is
       | that progress advances one funeral at a time.
       | 
       | As a practical example, look at the discovery of blue LEDs. There
       | was a lot of work on this in the 70s and 80s. Everyone knew how
       | important it would be. A lot of money went into the field. Armies
       | of researchers were studying compounds like zinc selenide. The
       | received wisdom was that galium nitride was a dead end. What was
       | the sum contribution of these armies of researchers to the
       | invention of blue LEDs? To convince Shuji Nakamura that if that
       | was the right approach, he had no hope. So he went into galium
       | nitride instead. The rest is history, and the existing field is
       | lost.
       | 
       | Let's take an example that is still going on. Physicists invented
       | string theory around 50 years ago. The problems in the approach
       | are summed up in the quote that is often attributed to Feynman,
       | *"String theorists don't make predictions, they make excuses." To
       | date, string theory has yet to produce a single prediction that
       | was verified by experiment. And yet there are thousands of
       | physicists working in the field. As interesting as they found
       | their research, it is unlikely that any of their work will wind
       | up contributing anything to whatever future improved foundation
       | is discovered for physics.
       | 
       | Here is a tragic example. Alzheimer's is a terrible disease. Very
       | large amounts of money have gone into research for a treatment.
       | The NIH by itself spends around $4 billion per year on this, on
       | top of large investments from the pharmaceutical industry.
       | Several decades ago, the amyloid beta hypothesis rose to
       | prominence. There is indeed a strong correlation between amyloid
       | beta plaques and Alzheimer's, and there are plausible mechanisms
       | by which amyloid beta could cause brain damage.
       | 
       | After several decades of research, and many failed drug trials,
       | support the following conclusion. There are many ways to prevent
       | the buildup of amyloid beta plaques. These cure Alzheimer's in
       | the mouse model that is widely used in research. These drugs
       | produce no clinical improvement in human symptoms. (Yes, even
       | Aduhelm, which was controversially approved by the FDA in 2021,
       | produces no improvement in human symptoms.) The widespread desire
       | for results has created fertile ground for fraudsters. Like Marc
       | Tessier-Lavigne, whose fraud propelled him to becoming President
       | of Stanford in 2016.
       | 
       | After widespread criticism from outside of the field, there is
       | now some research into alternate hypotheses about the root causes
       | of Alzheimer's. I personally think that there is promise in
       | research suggesting that it is caused by damage done by viruses
       | that get into the brain, and the amyloid beta plaques are left by
       | our immune response to those viruses. But regardless of what
       | hypothesis eventually proves to be correct, it seems extremely
       | unlikely to me that the amyloid beta hypothesis will prove
       | correct in the long run. (Cognitive dissonance keeps those
       | currently in the field from drawing that conclusion though...)
       | 
       | We have spend tens of billions of dollars over several decades on
       | Alzheimer's research. What is the future scientific value of this
       | research? My bet is that it is destined for the garbage, except
       | as a cautionary tale about how much damage it can cause when a
       | scientific field becomes unwilling to question its unproven
       | opinions.
        
         | mrguyorama wrote:
         | > To date, string theory has yet to produce a single prediction
         | that was verified by experiment.
         | 
         | What a funny example to pick. See, "string theory" gets a lot
         | of attention in the media, _and nowhere else_
         | 
         | In actual physics, string theory is a niche of a niche of a
         | niche. It is not a common topic of papers or conferences and
         | does not receive almost anything in funding. What little effort
         | it gets it gets because paper and pencils for some theoretical
         | physics is vastly cheaper than a particle accelerator or space
         | observatory.
         | 
         | Physicists don't really use or do anything with string theory.
         | 
         | This is a great example of what is a _serious_ problem in
         | science.
         | 
         | The public reads pop-sci and thinks they have a good
         | understanding of science. But they verifiably do not. The
         | journalists and writers who create this content _are not
         | scientists_ , do not understand science, and do not have a good
         | view into what is "meaningful" or "big" in science.
         | 
         | Remember cold fusion? It was never considered valid in the
         | field of physics because they did a terrible excuse for
         | "science", went on a stupid press tour, and at no point even
         | attempted to disambiguate the supposed results they claimed.
         | The media however told you this was something huge, something
         | that would change the world.
         | 
         | It never even happened.
         | 
         | Science IS about small advances. Despite all the utter BS
         | pushed by every "Lab builds revolutionary new battery" article,
         | Lithium ion batteries HAVE doubled in capacity over a decade or
         | two. It wasn't a paradigm shift, or some genius coming out of
         | the woodwork, it was boring, dedicated effort from tens of
         | thousands of average scientists, dutifully trying out hundreds
         | and hundreds of processes to map out the problem space for
         | someone else to make a good decision with.
         | 
         | Science isn't "Eureka". Science is "oh, hmm, that's odd...." on
         | reams of data that you weren't expecting to be meaningful.
         | 
         | Science is not "I am a genius so I figured out how inheritance
         | works", science is "I am an average guy and laboriously applied
         | a standardized method to a lot of plants and documented the
         | findings".
         | 
         | Currently it is Nobel Prize week. Consider how many of the
         | hundreds of winners whose name you've never even heard of.
         | 
         | Consider how many scientific papers were published _just
         | today_. How many of them have you read?
        
       | lumost wrote:
       | I'm very curious if anyone has tried to control for the natural
       | hierarchies which form in Academia. e.g. A researcher who rises
       | to the top of a funding collaboration will have a
       | disproportionate number of citations due to their influence on
       | funding flows. Likewise, those who influence the
       | acceptances/reviewers at major conferences will naturally attract
       | more citations of their work either by featuring it over other
       | work or correctly predicting where the field was heading based on
       | the paper flows.
        
       | nyeah wrote:
       | This is interesting but how could we really determine the answer?
       | It seems very difficult not to get pulled into my own opinions
       | about how it "must work".
        
       | karmakaze wrote:
       | There are plenty of examples on both sides. There's no need for
       | one to be true and the other false. Geniuses get recognition, so
       | it makes sense for the smurfing contributors to also get a nod.
       | 
       | AlexNet for example was only possible because of the developed
       | algorithms, but also the availability of GPUs for highly parallel
       | processing and importantly the ImageNet labelled data.
        
       | Jegber wrote:
       | Thomas Kuhn has entered the chat
        
       | alphazard wrote:
       | Now that the internet exists, it's harder to reason about how
       | hard a breakthrough was to make. Before information was
       | everywhere instantly, it would be common for discoveries to be
       | made concurrently, separated by years, but genuinely without
       | either scientist knowing of the others work.
       | 
       | That distance between when the two (or more) similar discoveries
       | happened gives insight into how difficult it was. Separated by
       | years, and it must have been very difficult. Separated by months
       | or days, and it is likely an obvious conclusion from a previous
       | discovery. Just a race to publish at that point.
        
       | jasperry wrote:
       | To me, the greatest contribution of mediocre scientists is that
       | they teach their field to the next generation. To keep science
       | going forward, you need enough people who understand the field to
       | generate a sufficient probability of _anyone_ putting together
       | the pieces of the next major discovery. That 's the sense in
       | which the numbers game is more important than the genius factor.
       | 
       | Conversely, entire branches of knowledge can be lost if not
       | enough people are working in the area to maintain a common ground
       | of understanding.
        
         | rook_line_sinkr wrote:
         | agreed!
         | 
         | there's a nice short story along those lines, by Scott
         | Alexander
         | 
         | https://slatestarcodex.com/2017/11/09/ars-longa-vita-brevis/
        
         | kibwen wrote:
         | Yep. Human civilization is fundamentally predicated on the
         | transmission of ideas through time. Without old ideas to build
         | upon (Newton's "shoulders of giants"), there's no long-term
         | advancement. Transmitting established knowledge is just as
         | important to civilization as generating new knowledge.
        
         | kulahan wrote:
         | An interesting example, in my opinion:
         | 
         | In the US, we keep on manufacturing Abrahams tanks. We're not
         | at war. We have no use for these tanks. So to make things make
         | sense, we give money to some countries with the explicit
         | restriction that they must spend that money on these tanks.
         | 
         | Why do we keep making them? Because you _need_ people who, on
         | day one of war, know how to build that tank. You can 't spend
         | months and months getting people up to speed - they need to be
         | ready to go. So, in peacetime, we just have a bunch of people
         | making tanks for "no reason".
        
           | XorNot wrote:
           | This is also why US shipbuilding is a dumpster fire: lack of
           | a consistent order book for warships means they're more
           | expensive to produce and the process is chaotic.
           | 
           | It's one of the great reasons to cultivate a collection of
           | close allies who you support: it keeps your production lines
           | warm and your workforce active and developing.
        
             | aDyslecticCrow wrote:
             | It would help if there was a active civilian shipbuilding
             | industry. Easier to pivot than building up something from
             | nothing.
             | 
             | But that industry has been taken over by asia.
        
             | kulahan wrote:
             | I hadn't considered this - it must be a nightmare to try
             | and find experienced aircraft carrier engineers. We have
             | like 14 of em, right? Probably like 70% the same crew on
             | each one, but I don't remember the last time we built one.
             | I wonder if the expertise is still there, and maybe I'm
             | just missing these stories.
        
               | renewiltord wrote:
               | The last time we built aircraft carriers in the US? Has
               | there ever been a one year period when we haven't been
               | building aircraft carriers (or ships which other nations
               | would consider carriers)?
               | 
               | Certainly there are many we're currently building and
               | many we will build after that. Biggest in the world kind
               | of stuff.
               | 
               | Gerald R Ford class.
        
               | hollerith wrote:
               | Ditto destroyers, the current class or model of which the
               | US has been building continuously since 1988, as shown by
               | the dates in this table:
               | 
               | https://en.wikipedia.org/wiki/List_of_Arleigh_Burke-
               | class_de...
        
           | paulpauper wrote:
           | _Why do we keep making them?_
           | 
           | Didn't you answer your question in the above sentence? They
           | are used to protect US foreign interests by sending them to
           | allies. It's not because people will somehow forget how to
           | make them. It's based off of an assembly line and blueprints.
           | I don't see how this would be forgotten, any more than it
           | would be possible for society to forget how to build a CRT TV
           | just because they are not used anymore.
        
             | renewiltord wrote:
             | I wonder how much we've learned from the Saturn V project
             | where the majority of the crucial knowledge (including for
             | the machines that build the parts for the machines that
             | build the parts) was undocumented. Hopefully a lot but
             | maybe we just forward evolve instead.
             | 
             | I'm always impressed that America's moribund manufacturing
             | industry nonetheless makes prodigious amounts of expensive
             | vehicles. It feels like one year I was hearing about the
             | terrible failure that the F-35 was and the next year I
             | looked up and we've got more than a thousand of them -
             | enough to dwarf any other conventional air force.
        
         | throwawaymaths wrote:
         | > That's the sense in which the numbers game is more important
         | than the genius factor.
         | 
         | Numbers game doesn't work in the idealized way you think it
         | does. if you let too many mediocre or bad people become
         | scientists, some of them engage in fraud or ill- considered
         | modelmaking, which wastes the time of good scientists who are
         | in the place of having to reproduce results that were never
         | going to work.
        
           | aDyslecticCrow wrote:
           | Pretty impossible to compensate for or prevent. The day
           | doctor or phd because a prestigious title; the first
           | fraudsters were born. If the title becomes even more
           | prestigious, the more damage can a bad actor be able to evoke
           | with its influence.
        
           | jasperry wrote:
           | I didn't say more people should become career scientists; the
           | incentives of that are all messed up from trying to measure
           | research output like it's a product. IMO the best way to
           | prevent junk science is to teach more people to tell good
           | science from bad. Better understanding is empowering
           | regardless of career.
        
           | vladms wrote:
           | Would you have any reference of why it matters the number of
           | people doing something for some to engage in something
           | nefarious? I would expect to happen no matter the number of
           | people.
           | 
           | I feel it is more connected to the culture (for example I
           | would expect to happen more in a hierarchical culture than in
           | an egalitarian culture, or more in a believing culture than
           | in a critical culture).
        
             | throwawaymaths wrote:
             | it happens no matter the number of people. but if you
             | create a directive to dump more people into science than
             | the capacity of society to produce scientists, (and there
             | isn't an aggressive system to cull fraudsters) you will
             | wind up with a linear increase of fraud/bad science, and a
             | superlinear negative effect.
        
         | NoMoreNicksLeft wrote:
         | Mediocre baseball players take their teams to the world series.
         | Mediocre soldiers, not special forces commandos, win wars. Etc.
         | The principle is pretty general.
        
           | paulpauper wrote:
           | Statistically, most people must be mediocre
        
       | aerhardt wrote:
       | Very cool to see Ortega on the frontpage. He was a fine thinker -
       | phenomenally erudite and connected to his contemporary
       | philosophers, but also eminently readable. He is not technical,
       | rarely uses neologisms, and writes in an easy to digest "stream
       | of thought" style which resembles a lecture (I believe he
       | repackaged his writings into lectures, and vice versa).
       | 
       | I can recommend two of his works:
       | 
       | - _The Revolt of Masses_ (mentioned in the article), where he
       | analyzes the problems of industrial mass societies, the loss of
       | self and the ensuing threats to liberal democracies. He posits
       | the concept of the  "mass individual" ( _hombre masa_ ) a man who
       | is born into the industrial society, but takes for granted the
       | progress - technical and political - that he enjoys, does not
       | enquire about the origins of said progress or his relationship to
       | it, and therefore becomes malleable to illiberal rhetoric. It was
       | written in ~1930 and in many ways the book foresees the forces
       | that would lead to WWII. The book was an international success in
       | its day but it remains eerily current.
       | 
       | - His _Meditations on Technics_ expose a rather simple, albeit
       | accurate philosophy of technology. He talks about the history of
       | technology development, from the accidental (eg, fire), to the
       | artisanal, to the age of machines (where the technologist is
       | effectively building technology that builds technology). He also
       | explains the dual-stage cycle in which humans switch between
       | self-absorption ( _ensimismamiento_ ) and think about their
       | discomforts, and alteration, in which they decide to transform
       | the world as best as they can. The ideas may not be life-changing
       | but it's one of these books that neatly models and settles things
       | you already intuited. Some of Ortega's reflections often come to
       | mind when I'm looking for meaning in my projects. It might be of
       | interest for other HNers!
        
       | xpe wrote:
       | I wonder: where has this hypothesis been operationalized and
       | turned into a testable prediction (forward-looking or
       | retroactive)?
        
         | aDyslecticCrow wrote:
         | Doesn't seem very testable. Doubt we will ever really answer it
         | satisfactorily. Its more of a philosophical or ideological
         | stance.
        
       | bravura wrote:
       | Naturally, the science of science study supporting the
       | controvening ,,Newton hypothesis" is pseudo scientific piffle.
       | 
       | My scientific study of the science of science study can prove
       | this. Arxiv preprint forthcoming.
        
       | senfiaj wrote:
       | I would say modern science is more of a teamwork than it was
       | before since nowadays it's too large and overwhelming for one
       | person. It's almost impossible to be a solo genius nowadays. But
       | both "Newton" and "mediocre" scientists are still needed. Just
       | for an analogy, in software we see a similar pattern, programs
       | were largely slow, so one person could write an entire game or
       | OS, but today it's almost impossible, so today's programs are
       | usually written by a large number of average developers. But
       | there are still a few number of exceptional people who work on
       | key algorithms or architecture. So they are still needed.
        
       | pessimist wrote:
       | Plausible. General Relativity was concieved by an extraordinary
       | genius, but the perihelion of mercury was measured by dozens of
       | painstaking but otherwise unexceptional people. Without that
       | fantastically accurate measurement, GR would never have been
       | accepted as a valid theory.
        
       | api wrote:
       | > The most important papers mostly cite other important papers by
       | a small number of outstanding scientists
       | 
       | The question here is: yes most major accomplishments cite other
       | "giants," but how many papers have they _read_ and have they
       | cited everything that influenced them?
       | 
       | Or do people tend to cite the most pivotal nodes on the knowledge
       | graph which are themselves pivotal nodes on the knowledge graph
       | while ignoring the minor nodes that contributed to making the
       | insight possible?
       | 
       | Lastly -- minor inputs can be hard to cite. What if you read a
       | paper a year ago that planted an interesting idea in your head
       | but it wasn't conclusive, or gave you a little tidbit of
       | information that nudged your thinking in a certain direction? You
       | might not even remember, or the information might be background
       | enough that it's only alluded to or indirectly contributes to the
       | final product. Thus it doesn't get a citation. But could the
       | final product have happened without a large number of these
       | inputs?
        
         | bccdee wrote:
         | It also depends what the "most important papers" actually are.
         | What is it that makes something a breakthrough?
         | 
         | Suppose I'm analyzing a species of bacteria with some well-
         | known techniques and I discover it produces an enzyme with
         | promising medical properties. I cite some other research on
         | that species, I cite a couple papers about my analytical tools.
         | This is paper A.
         | 
         | Other scientists start trying to replicate my findings and
         | discover that my compound really lives up to its promise. A
         | huge meta-analysis is published with a hundred citations--paper
         | B--and my compound becomes a new life-saving medicine.
         | 
         | Which paper is the "important" one? A or B? In the long run,
         | paper A may get more citations, but bear in mind that paper A
         | is, in and of itself, not terribly unique. People discover
         | compounds with the _potential_ to be useful all the time. It 's
         | in paper B, in the validation of that potential, that science
         | determines whether something truly valuable has been
         | discovered.
         | 
         | Was paper A a uniquely inspired work of genius, or is science a
         | distributed process of trial and error where we sometimes get
         | lucky? I'm not sure we can decide this based on how many
         | citations paper A winds up with.
        
       | atleastoptimal wrote:
       | Yeah, in the same way that CEOs, founders are given all the
       | credit for their company's breakthroughs, scientists who
       | effectively package a collection of small breakthroughs are given
       | all the credit for each individual advancement that lead to it.
       | It makes sense though, humans prioritize the whole over the
       | pieces, the label of the contents.
        
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