What happens when the public lose confidence in academic findings?
thomasprosser.substack.com
thomasprosser.substack.com
It's essentially saying, we don't believe your degree says anything about your ability to perform the job.
The only reason academia hasnt been completely uprooted, is:
1. Some sects of society use academic prestige as a product. i.e. this harvard educated mckinsey consultant will optimize your business! Or, this harvard educated financier will invest your money carefully!
2. There's no way to have some leetcode like test for most jobs.
3. There used to be more signal in academic credentials, and older sects of society still believe those signals exist. Its the same with doctors, older generations treat doctors like infallible royalty, younger are much more skeptical
theres a huge caveat that some top people in the world do end up at top academic institutions. its just they keep mixing in these political appointees, agendas, etc
Unfortunately I have worked with people with a master’s in computer science from an american university who couldn’t write a coherent sentence in English. Let alone write code or design a system.
I’ve also interviewed people with illustrious careers who just weren’t a fit for the role they applied to.
Credentialing is in poor shape in our industry.
var a = 1; a = 2;
Before I could write anything more (this was just setup) the person pipes up “that’s false!” We went through the rest of the interview but I just couldn’t believe it. The individual had been working for a government office as a software developer for 5 years or so before this.
I have no idea what this persons work day looked like but still shake my head when I think about that interview.
Professors are stuck in the middle: asked to teach unprepared students, and forced to pass many who are not suitable.
The people it hurts the most are the students who are actually capable, and put the time in to excel.
instead of IQ test -> competence signal
you have:
SAT/ACT = IQ Test -> university acceptance criteria -> degree/credentials -> competence signal
Citation for this? As far as I know IQ isn’t a measure of intelligence (because intelligence is hard to define, let alone come up with a single number that quantifies it!)
https://www.amazon.com/Know-Debunking-Myths-about-Intelligen...
All you have to do is get a figure that mostly correlates fairly well to most of the phenomena we might consider intelligence, and it works well enough for many purposes, even if it's not measuring any of those others.
I think when people say things like that, what they mean is "what simple number is the best predictor of success", which begs the question that a simple number can be a good predictor at all. Keep in mind that something can be the best merely because every other option is even worse: in practice, the best predictor is a really terrible predictor. So bad, in fact, that a five-minute conversation with somebody will tell you more about their ability to succeed at a job than knowing their IQ.
Got any citations to support this?
But when you try to put a number on that five minute conversation it turns out that the number is worse than the number provided by IQ tests. Otherwise the simple number from conversations would be well known to be a stronger predictor, but nobody has found such a result.
[1] https://twitter.com/richgel999/status/1506870732889985025
Who knows this? I sure as hell don’t and would be extremely surprised if that were the case.
every other method of selection, e.g. structured interviews, work samples, etc, are (noisier) proxies of general mental ability.
Not sure why you would use a paper as a "standard reference" when flaws in its method were identified almost 3 decades ago.
Your in group membership is what propels you forward in your career, not your intelligence. Race and Gender are predictors of career success as well.
Any proponent of IQ, I'd challenge to take an IQ test in Chinese, Irish, or AAVE.
I'm not sure a construction company wants a bunch of people with 140+ IQ standing around all day leaning on shovels waiting for gravel to shovel into little holes. I'm pretty sure those employees will just quit or break something on purpose just for something to do. In fact I've seen this with my own eyes.
Maybe you're proposing binning people by IQ instead? Where groups of people who fall in certain ranges of IQs are sorted into different jobs.
But again, I'm not so sure that Walmart wants to hire a shelf stocker with an IQ between 88-95 if that person has oppositional defiant disorder and/or a tendency to steal from their employers.
If you think that you can distill the essence of an entire human down to a single variable and rank them accordingly for jobs, go for it man, but I have a sneaking feeling that it isn't going to work.
I'm quite convinced that a typical construction site would benefit a lot from employees who would be smart enough to notice inefficient processes and plain mistakes, and take some initiative to fix the problems. And management who would believe the employees, but that is probably never going to happen.
Sounds like a smashing idea, I'm sure you'll kill it in business.
However, thanks to the way mental traits get distributed, a fairly small proportion of the population is ever going to have a high IQ. Roughly 16% of the population at any one time will have greater than 1 SD north of median. Less than 3% will be greater than 2 SD.
More people than that need to have jobs. If you're going to insist only 97th percentile people can work for you, you need to be offering 97th percentile salary. Currently, that is around $220,000 a year in the US. "Most" jobs can definitely not offer that.
It's on you to back up this claim. And the reason had better not be 'oh a bunch of tech companies do it' when there are entire fields from psychology that do research on this exact question, and they consider things like personalities, etc.
You also might be confusing higher-iq job scopes for job success.
WRONG. WRONG. WRONG.
IQ predicts how fast you learn shit, not how well you do on the job. Plenty of studies from the fields of personality/social psychology/psychometrics talk about this, get out of your narrow SWE field and read up on these subjects. This IQ=job success belief is simply SWE self ego-stroking.
edit:
Jordan Peterson (psychology phd) - The Mystery of High IQ and Industriousness https://www.youtube.com/watch?v=1C0zS2RAzlI
Wow, so many people react so sharply to this, I'm not sure why. May be there is an inherent belief that all one has to do is work hard and success will follow.
Minor nitpick - I think performance has a good correlational with IQ, I think less so a job, because a job also generally requires high conformity (not an enviable trait IMO)
As it became clear the people had lost belief in god kings, aristocrats began paying the church to educate their kids and confer nonsense degrees the proles could not falsify.
It was not hard learning guitar on my own. We create a lot of carbon mess for junior to get to an official guitar degree.
There is a whole lot of unnecessary LARPing deference to wealthy people who don’t do much of the real work keeping themselves alive.
It’s not a sustainable social meme to tighten the screws on the masses while handing their own kids the keys to the castle. 800,000 sworn LEO in the US, beholden to a paycheck and retirement account. None of the people at my local bank own that bank anymore. Why is my agency propping up someone else’s grandpa?
All of this was absolutely relevant in 1950 for working at a large corporation, in a white-collar job.
The more recent job market doesn't look much like this, but then good training for the current job market would probably not call for an institution that looks much like a university. It would probably call for something more like trade schools and apprenticeships, with guilds to protect the apprentices from poor treatment (something that, for example, Ph.D. students are sorely lacking). It seems unlikely that universities can adapt to a situation that primarily requires that they go away or at least become much smaller, to be replaced by a different system.
Therefore, they mainly ensured companies hired people from similar university programs that the test givers also attended.
Everyone is optimizing for getting the most information in the smallest amount of time. Algorithm questions do that. The interviewee knows that they are going to get algorithm question, and most places tell them ahead of time what the nature of the questions will be. So interviews should be an easy cakewalk that everyone can pass, but they aren't.
>So interviews should be an easy cakewalk that everyone can pass, but they aren't. For a person with no CS degree this is definitely not easy and being flippant and saying it is is disingenuous.
I think its almost universally agreed at this point that Algo interviews don't have anything to do with day to day work and don't demonstrate development ability.
It seems no matter how many great projects I make, or quality papers I write, that's second best to 10 minute logic puzzles for a growing amount of companies.
As with most development team leaders, I have interviewed and employed CS graduates who are woefully unprepared for the reality of a job writing production-level code.
I don't see this as a condemnation of education per se. More that the common concept of education (that it prepares young people for their careers) is completely misaligned with academia's concept of education (that it trains young people in how to think, and how to conduct research).
[0] attribution for this is interesting and varied: https://quoteinvestigator.com/2021/04/02/computer-science/
IMO this is what a university education should look like for most people in order for it to stay relevant. There are otherwise far more too many people attending universities relative to the demand for researchers.
The university that I got my actual degree from was something that a SV company would scoff at. But, the education they were able to scrap together was far more effective in my day-to-day work than prior education I had received at a far more prestigious institution.
Perhaps it was just me, but it always seemed like the less money I spent on my education the more effective it became.
Remember it doesnt take any qualifications to set up a business.
At those points in history the degree was worth it because it was a signal of your social standing. You would walk into the office as the boss simply because you had a degree.
Today college is not elite. The vast majority of US high school students now go to college. 70% of those students take out loans to afford education. Because it is no longer elite "teaching you how to think" is no longer a great value proposition. Not to mention that most of the new grads I've met have failed to learn "how to think" as well as having no practical skills.
I think the number is something around 60%. Not sure that would qualify as Vast Majority.
I'd be surprised if most universities didn't offer something similar. Even students at Ivy League school must want to get together with other students and learn to build useful software during their first year.
Like most professions, there's a lot of "extra" stuff around the core competency. Knowing Excel does not make you an accountant.
I've come into projects as the architect for refactoring what was built by someone who had only just learned to code. It was bad, sure, but they were bringing in enough revenue to hire me and get things on course. All with 0 knowledge of devops and 0 lines of test code coverage.
Actually, those three 3 month engagements can constitute several years worth of experience if they are done with excellent mentors at good companies. Reasons:
1. You see several teams, several projects, several codebases, without having to spend an awesome amount of time at one place. How many engineers work with multiple teams and companies in their first year (without one of those experiences being terribly catastrophic)?
2. You get the interesting meaty projects, or get to work on prototyping projects, but are also expected to contribute to the existing code base (or at least build on top of it). You participate in meetings, give presentations, etc. Basically, you see an entire compressed project/product lifecycle but embedded in an existing codebase.
3. Most importantly: Doing 1 repeat internship is super valuable. Spending 6 months at a place in 3 month increments with 9 months in between is an exceptionally unique experience in terms of understanding how orgs work and evolve. Most engineers don't get to experience until they are in the consulting portion of their careers.
University students in CS should do as many internships as possible, and universities should be more proactive about finding a way to mock summer internship experiences for students who do not get any internship offers.
Atlassian made some comments like "Australian universities aren't teaching devs what we need them to know" a few years back. It triggered some discussion, but not nearly enough along the lines of "well maybe you should train people in what you need them to know then?"
As an industry, we're utterly crap at employing juniors, or training our staff. We expect everyone to have X years of experience and then get surprised when devs make technology choices based on what's good for their resume, not what's good for the business.
there's a full rant I have for whenever this subject comes up ;)
As an alumni (kinda), it was awesome and IMHO has served me very well in my career.
But, really, if company wants to retain people after training, maybe make it worth it to the people to stay.
Lots of organisations seem to think that if they have to train an employee, then there should be some kind of discount on the salary for that employee. This is totally the wrong way of looking at it.
Training your staff in what you need them to know means that they have a consistent view of the subject, practices, etc. No more "but that's how I've been doing it for 2 years in the last place" or "I taught myself and discovered this way of doing it and I think it's cool". A junior employee who was trained in the exact tech stack you're using is more valuable than a mid (or even senior) who has random experience.
Not to mention, if your employees trust that you'll train them in what they need to know, they're massively less likely to pick technologies based on resume need. And massively more likely to stay with you.
Also, it should not take long to train someone git or test framework.
My personal option was they were wasted courses. The learning was in the coding, not project management and documentation.
I can teach you how to use git in an afternoon. I can't teach you how to write a thorough but concise email about a complicated topic. I can't teach you how to give a good presentation. (Or, I can, but it will take a lot longer than teaching enough git to get started.)
(To be clear, all CS departments should teach students how to use git as a component of the intro programming sequence.)
But they don't. If they wanted to students to think more deeply, there would be more of an emphasis on formal logic, developing proofs, etc. rather than "write this in assembly." If they wanted you to conduct research, you would...conduct research.
STEM degree fields are so obviously career-based. There's a reason Merck internships go to biology students, Lockheed internships go to aerospace students, Google to CS, etc. But when people call out universities on how poor of a job they do, they suddenly claim career-based education isn't the goal. It's a widespread CYA move by vastly overpriced universities.
The claim that a university education doesn't do this feels very subjective. My CS course did all of those things. Every student was required to do a research project in their final year for a significant part of that year's credit.
At the high end, you have places like MIT/Stanford/UIUC//Harvey Mudd. As far as I can tell, none of the bad stuff that's said in these threads is even remotely relevant to the programs at those places^1.
At the low end, you have branch campuses of state universities and small colleges where half or more of the CS courses are taught by mathematicians who did not study CS, have never worked on even academic code projects, and have never worked as anything other than an academic^2. This is pervasive in Data Science. You're way better off with a boot camp than a data science sequence taught by a desperate pure math PhD taking whatever work they can find.
And there's everything in-between.
A lot of these debates are probably happening between folks who went to good programs and folks who went to mediocre/bad programs. Not all, but quite a lot.
So, when reading comments on HN about how useless or wonderful a CS program was, always ask (at least rhetorically) "where did you go?"
I gave the big famous names because that's the easiest way to make the point. There are tons of really high quality programs whose names you won't immediately know. My intention here is not elitism... BUT!...
It is 100% true that the quality of CS programs is incredibly varied. Way more than it was even 10 years ago. The rapid increase in enrollment and unwillingness to pay even half decent wages for CS faculty has caused an explosion of what I would characterize as fraud in CS higher ed.
So, in the spirit of helping parents identify good programs without depending on name recognition/elite signalling alone:
When deciding if/which college/university to send your child to, carefully read through CS faculty bios. Ideally there will be a good number of faculty with street cred in both academics and industry. In addition to checking out CS faculty buios, also check out the names of instructors in previous years' course schedules. For example, make sure that CS/Data Science courses aren't being staffed by math folks unless those people have significant industry experience in addition to their math phd, or work in an area of applied math where they're doing lots of coding, etc.
Checking who teaches the courses in archived course schedules is more important than department bios! The department bios are a first check, not the final answer. Here's why: at many places you'll have a few half decent CS faculty who are just "fronts" for a department that is mostly staffed by way lower quality labor. It's the EXACT same bait and switch as consulting shops who have super experienced principal/senior-level engineers participate in the sales pitches and once the ink dries you're working with cheap grunts in a body shop.
Three things to watch out for in particular:
1. Non-CS (usually math) phds without substantial industry expertise. They're teaching tons of intro DS/CS courses instead of taking a math job in industry or academia for a reason.
2. Folks with an online masters and maybe a year or two of full time industry experience.
3. Tons of CS courses being offered in the evenings or early morning by faculty whose names don't appear anywhere on department websites (these are industry workers doing ad junct labor... they can be EXCELLENT, and if you get a course taught by one of these people in the middle of the day it's often a gold mine. But if they're always teaching around the 9-5 schedule it signals that their employer considers this a side gig and the course's quality is probably going to depend on how busy things happen to be that quarter at the instructor's "real" job. Okay as an occasional stopgap or an option, but a huge warning sign if this is a standard modus operandi for core courses. Teaching well is a big job; doing that plus engineering without full employer buy-in is dangerous.
Again, there's nothing wrong with the first two categories of folks teaching CS courses per se. The problem is that they just aren't worth the tuition dollars you're paying or the time you're putting in.
Again, think about how much you will be spending. Repurposing math phds or junior engineers as CS faculty just isn't appropriate at those price points. At tends of thousands per year, your child deserves PhDs with industry experience or senior/principal engineers who have decided to start teaching full time. That's what is being sold to you! It's what every other deparmtent at the university gets! Don't pay shitloads of money for less.
--
Footnote 1: Those "good" programs have other huge issues -- cost, stress, elitism. Most importantly, some of the best CS departments even at otherwise accessible universities are extraordinarily selective due to capacity issues. But the curricula are extraordinarily rigorous in terms of both theory and SE skills. The only complaint I've ever had about these hires is writing ability.
Footnote 2: Warning: rant incoming! Honestly, regional accrediting bodies should probably start refusing to accredit CS/DS programs that aren't primarily staffed by faculty with either appropriate academic background or significant industry experience. And parents/students should consider civil suits when they enroll in an accredited program in CS that is taught by pure math phds with no industry experience and who have no business teaching CS or SE. The status quo is embarrassing for the entire industry. At the end of the day, universities need to start investing in good CS faculty or else face displacement by competitors who are willing to invest in human capital. Budgeting $80K for an instructional position pretty much explains why most CS departments are essentially fraudulent.
Fussell (and probably many others, but I've read him) blamed the rapid, great expansion of colleges and universities when the GI Bill injected a ton of money and eager new students into the system after WWII. He wrote that in 1983, but the system still seems to be reeling from that, and it may simply have stabilized (perhaps unavoidably, hard to say) at a much lower average quality level than before. Generally, institutions that existed before the war are still very good. Ones founded or converted (from, say, teaching colleges) after are much more hit-or-miss.
CS is embarrassingly bad even relative to the already low standards.
I'm not exaggerating when I say that many computer/data science programs are 100% staffed by pure mathematicians who both have never done academic work in computer/data science and also have never worked a day in industry.
Find me a single mathematics department that offers a BS in Mathematics and in which 40+% of courses are taught by failed psychology PhDs. That's the state of CS at many institutions.
Again, I take your point that everything is not great. CS is a whole order of magnitude worse. Even at places that aren't great.
The person above you complained there weren't enough proofs in CS degrees, so they probably attended a program that was more focused on relevancy for the industry, while I and others attented programs very much geared towards academic research and theoretical CS, which contained a large amount of maths, often taught by math professors, and involved proofs in pretty much every course, even things like Intro to OOP.
Both of these programs have their place, I'm very glad I attented a program that was very theoretical, since I was able to pick up job skills on the side, while the things I learned in my degree I would have probably largely not been able to teach myself.
No, I do not. Is that really how you would describe any of the specific institutions I mentioned?
A good program should have some of both, and two equally good programs could emphasize one or the other more. All of the positive institution examples I listed have very rigorous theory requirements in their undergraduate curriculum, for example.
> ...which contained a large amount of maths, often taught by math professors, and involved proofs in pretty much every course, even things like Intro to OOP.
The problem is one of quality, not the "theory vs practice" axis.
A mathematician can do a great job at teaching pretty much any CS course. But, also, within the last 10 years, a CS/DS major staffed largely by mathematicians or folks without terminal degrees has become a VERY predictable sign of a low-quality department. These two things aren't contradictory.
Have you looked at the composition of CS departments at unselective regional institutions, or CS faculty ads for such places? If not, consider this exercise. Things have gone downhill fast in the past 10 years, and the current situation in CS for regional colleges and universities is very much "caveat emptor".
Then gave the same text/test to graduating undergrads.
The thesis being that they just spent 4 years being trained in how to critically think and analyze a text.
There was no difference in their performance
Outside of their profession, they uncritically accept silly ideas as the truth and throw all logic and reason out the window.
Which is exactly what a CS program from a reputed university is. We never once touched assembly. Heck most classes involved no coding at all.
What I think is there deserves to be one or two full pledged software engineering courses, teaching how to use testing, version control, software structure etc.. As always, you can start from basic commands / usage and reach to general concepts, it isn't that hard.
And actually I believe US and European academia, at least the Ivy league and second tier colleges, do a decent job at teaching many required concepts. Come to a country like India, and you will see a C programming course that doesn't cover malloc or function pointers, a data structures course without proper introduction to algorithm complexity or difference between abstract data type and implementation, a java course that never properly teaches subtyping. I think students in US graduate decently equipped to write real world software compared to us. At least, I learned a lot of things by reading notes and Ppt of US universities.
(most Indian colleges are woefully inadequate in teaching even the basic concepts for writing software, despite the CS courses being named CSE (comp sci and engineering), not just CS. Incompetence runs to the root in education system except few elite colleges. From that perspective I think CS depts saying that is a first world problem. Sorry for the rant.)
I'm only in my forties but it's incredible how much this has changed in my lifetime.
I remember talking to an intern a few years ago and they made a comment about what a joke Columbia is (in regards to master's students). I was shocked because when I was a teen Columbia was seen as incredibly prestigious. I argued with them that Columbia is a really prestigious, well regarded school, but they and a few other interns just laughed and rolled their eyes.
Looking into it more it became obvious how this view had changed. It turns out Columbia, like many top tier schools from when I was a kid, has basically turned into get fancy version of a degree mill for master's students. Even though the school boasts some impressive faculty in many departments, it's also clear, based on the grads from there I have worked with after this conversation, that very little of that prestige is passed on.
As someone who used work in academia, it's wild how rapidly the entire system has decayed. From publisher or perish culture creating a mountain of non-reproducible work, to schools across the spectrum rushing to exchange credibility for cash. There have been so many systemic errors made that I don't believe academia will recover.
I suspect we'll see a fairly massive contraction in higher ed in the next decade or so.
In many other fields that have advanced degree requirements, companies care far more about where you went to school and who you studied under.
For example - I have a friend that is an occupational therapist. They've had 5 different jobs in the last 10 years. Every single interview they've done has been mostly just a meet and greet. No real difficult questions, no tests, no trial periods. They just applied, the company saw their degree and experience, and the interview was simply there to make sure they could work together.
It turns out that there’s very high correlation between the characteristics that make successful students and those that make successful workers. So a degree is still a useful signal during hiring, but it doesn’t certify a specific level of competency or skill set.
That is completely wrong when applied to e.g. Engineering. And completely true when applied to e.g. Philosophy.
CS courses on the other hand vary in their position on the spectrum.
No university has any incentive to say no to someone who wants to pay 200k to have you grade some homework for a couple of years, as long as they aren't at capacity, and moreover very small incentives to fail them.
The irrelevance of the paper as a signal is the solution to this problem.
That says more to me about the companies practicing this style of interview than it does your degree or the institution granting it.
I think this makes a lot of sense and we have a system that allows you to get a well paying middle class job by completing a vocational education and offers paths to get higher education from there or even switch to the academic track. This always made sense to me and I think it's crazy how this is in other countries where the choice is going to University or learning your profession on the job.
On the other, preparing for the test is not gaming it. Fundamentally, if there is a test, it is entirely legitimate and expected to prepade for it. Especially when the test measures skills you rarely use outside of test.
This requires waaay more easier test. This goal does not requires escalation of leetcode exercises difficulty at all. If this was actual goal, the test could have been truly simple instead of requiring a lot of preparation to pass.
Especially:
> has been awake at second year
What is actual difference between learning those in second year of the school vs on your own when you find out employer wants it?
Ok, looks like we've done different leetcode exercises. The ones I have done seemed to test mostly that I was able to sit down and type for an hour. Which, to be honest, is too much for many.
> What is actual difference between learning those in second year of the school vs on your own when you find out employer wants it?
The idea is that the employer should be able to give you real problems and trust that you have the basic toolkit to solve them without too much handholding. At least I have never been asked to implement this or that algorithm at work, but there have been quite a few times when one was needed to solve a problem.
I had a group project in 4th year university, in a very difficult math-heavy advanced graphics course, and my partner provided me with his half of the project and it was all global variables named A through Z, with a few A1,A2,AA,AB thrown in, and reused extensively for different purposes.
His code actually worked but it surprised me that someone could do 4 years of university (in a good CS school) but have almost no talent for actual coding.
In the same way that height among professional basketball players may not be a great predictor of their performance relative to other players, but you don't see too many 5ft players eithers.
I think if you’re working with really advanced topics, the credentials start to be meaningless, because the important fact is whether a candidate can truly work with complex concepts/technologies. You expect the candidate to come in already knowing what they need, and you don’t need any assurance that they’re “trainable.”
But for most of us here in the middle of the pack, the degree is more meaningful because it shows that at the very least, a candidate has been exposed to slightly higher-level concepts. As an example, when you’re trying to get someone to step up out of a help desk role into an analyst/developer role, that’s a lot easier to achieve with someone who’s had at least a degree’s worth of exposure to concepts of strategic thinking, lifecycle management, development methodologies, etc. Most of us don’t need to be passionate geniuses to do good work. For us non-geniuses, the conceptual “scaffolding” provided by academia opens up a lot of potential. I definitely believe that some people don’t need the degree, but they probably aren’t the average Joe.
we need nothing short of a cultural shift toward incentivizing real progress and productivity, and valuing real knowledge rather than education, which we only had for a fleeting moment in the US (middle of last century), that only comes from really constraining markets toward both fairness and risk tolerance. we lost our way when we loosened our belt in that regard (for instance, we now instead reward to act of having capital rather than deploying it strategically).
In Europe this became known as the "Bologna process" in which established "academic degrees" literally - in a EU-bureaucratic hunch and self-aggrandizement - got thrown away overnight (in Germany: Diplom, Magister) and then modernized, accordingly rated and standardized in a modular fashion, repurposed for the international/European (labour) market. The faculties and universities themselves from then on were run in a more and more managerial fashion with "operating numbers" and by winning state-funded budgets ("exellency" programs) and by efficiently recruiting third-party sponsoring.
For a typical (german) undergraduate student there isn't much a difference between school and university, anymore. Most Gen X'ers (and Baby-Boomers for that matter) will readily tell you how they for the first time had to learn to resort to self-reliant learning in want of detailed instructions (like in school) but also began to appreciate the less strict scheduling not only for partying but for developing their critical thinking in heated arguments with peers or when confronted with challenging ideas. This is mostly gone, now, a big part of that former public space has vanished.
For attaining craftmanship a particular skillset for a particular field, universities were never a good place to begin with, that's what internships and later your chosen vocations are for. But if they don't prepare you for the labour market and don't provide you with some kind of Humboldtian ideal - a universal starting point with sufficent leisure in pondering about the right/critical questions to ask in a nourishing environment - so what are they actually for?
It also says:
1. We don’t trust your former employer to restrict promotion to quality employees only. After all, people have to do the leetcode interviews all over again when applying for their next job.
2. If you’re new to the industry and weren’t enough of a chump to take out student loans, you’re welcome to try your luck here
The funny thing is, all those leetcode questions are just the kind of thing that's taught at CS courses (algorithms and datastructures) and the kind of material that CS grads are likely to know well. And the people who interview you are more often than not graduates themselves.
Because, duh, tech companies are part of the same establishment as academic institutions. But don't tell them that because they all want to be disruptive, instead.
I have the same opinion of academics - show me what you can light on fire. For example, I don't believe in physics because it makes intuitive sense to me, on the contrary, I find it confusing and counter-intuitive (sometimes). I believe in physics because the people who make magic boxes of light and sound that move fast and connect across vast distances tell me they did so via the knowledge they derived from physics. It's not how I would've guessed the universe would work, but who am I to argue with a blazing altar?
Judging by this standard I find many academic disciplines are severely wanting - there is a lot of chanting and waving of hands, but very little smoke. If I hear on the news that there's going to be an eclipse, I'll go out and look. If I hear on the news that eggs are bad for you, I'm going to roll my eyes.
“Now faith is the assurance of things hoped for, the conviction of things not seen.” - Hebrews 11:1 (ESV)
Belief is not a synonym for faith.
Faith implies belief without requiring any evidence. But belief can be conditional on evidence.
(That didn’t turn out to be a good definition, but not because of the “belief” part.)
Belief can be informed by evidence or not. It simply means acceptance or confidence that something is true. You can have faith in the available evidence, or faith in the absence of evidence.
Most people will never understand the direct evidence of even relatively mundane science, and almost everyone is incapable of understanding the direct evidence of the cutting edge.[0] and its implications, ergo in lieu of understanding they must substitute belief. Where science policy/communication fails here is in producing a 'believable' system, with adequate consistency and storytelling for persons who will only ever understand by analogy.
[0]Regular people don't know what an integral is. The intelligent, educated, and motivated don't have the bandwidth to really understand more than a smattering topics deeply.
It's not fatted calves, but we do sacrifice some money to the quantum folks so they can break our enemies' encryption locks ... in like 25 years ...
(*Or “convincing evidence.”)
Those with faith have proof or evidence that can be used to demonstrate or to back up that faith. It's not blind.
> I have the same opinion of academics - show me what you can light on fire.
I don't know if you're going to be welcome in a lot of liberal art colleges, since this is the ending(SPOILERS!):
> And Elijah said to them, “Seize the prophets of Baal; let not one of them escape.” And they seized them. And Elijah brought them down to the brook Kishon and slaughtered them there.
I suppose that’s an early instance of p-hacking.
Ah... Good, Old-Fashioned Organic Agriculture.
There's a huge power in knowledge consensus. It's got all kinds of flaws, but it meanders generally in a growth direction, and that's better than any other prediction system I'm familiar with.
What you instead want to look for is:
"MANY people who are familiar with magic boxes tried to make this guy's magic box and couldn't replicate his method."
You are looking for valid contradiction to stated facts to invalidate claims, not for a widespread consensus on the claims.
This is important because, as a single example, two people can use different methods to achieve the same outcome based on their own respective theories that have minor flaws but present strong evidence that they are in their entirety true. It is only by reconciling & finding the contradictions between the two that you can come out with a single VALID theory.
If I were a scientist I would probably have some examples of this occurring in the past, but off the top of my head I would suggest it is improbably that there has never been a situation where two competing theories that each had strong evidence were both eliminated in favor of a single unified theory that reconciled differences between them.
There is no room for laypeople in scientific disagreement.
This also has a reasonable take-away: sometimes lighting an altar on fire can be faked even when it looks real. Or, "beware the flashy demo". Fusion and especially some of the more shameless corners of AI come to mind.
My apologies if this stretches the analogy too far.
Alexa, set room temperature to 28°C!
Where this matters is: academics used to be able to conduct pure research. Now all they do is fundraise and hustle for grants. Anyone used to be able to go to college. Now the gatekeepers decide who has enough money or connections to attend. We even used to have news and (gasp) investigative journalism and public broadcasting and periodic reports to the public on the state of publicly funded research or some great public works project. Now we have infotainment and the suppression of any real tech that might materially improve lives by reducing the workload of the average person. They only fixate on phantom tech that distracts and enslaves. Now wonder the public doesn't care.
If we really want to get serious about fixing this stuff, it's going to involve at least in some part, a total rejection of vast swaths of the status quo. I'm all for that, I think most Gen Xers are for that, and certainly most people younger than that are for that. But there is just so much concentrated wealth now diluting social movements. And so much momentum behind the previous generation in congress that will do everything it can to hold onto power in the face of so many calamities we face, because at the end of the day, it's not their problem so they're just never gonna get the memo.
If a spiritual revolution away from wealth concentration isn't already underway, it's going to start with some version of "your money's no good here." And individuals withdrawing their contribution from institutions which concentrate wealth and power.
I mean, it's not totally that. But it's sure a big chunk of the problem.
Academic findings only have so much scope. It's nuanced and the news reporters, kindergarten teachers, and scientists themselves often overclaim the impact of the findings. All of the short term incentives reward overclaiming over nuance and no one should be surprised that the zeitgeist is where it is.
What's difficult is that it's hard to communicate the nuance of what a study actually studied. How many people were involved? What were the methods used? What was the effect size? What were the confounding factors that couldn't be controlled for? None of this can be effectively communicated in a world that reads headlines and probably not much beyond that.
And of course, the media does sensationalize because they're incentivized to. You'll click a headline that says "alcohol is good for you, says science" but probably won't click a headline that tries to communicate the nuance.
People seem to feel compelled to form an opinion on every topic, and then think that whatever their take is must be informed.
It is okay to not have an opinion on a topic!
If someone is particularly interested in obtaining an armature understanding of a subject, by all means, they should jump in and form on opinion, but maintaining some humility is essential.
Thing is, the data published by the coroner's office didn't include a lot of fields that I'd already received from FOIA. Fields missing like the name of the person who died. Since the paper's conclusions didn't pass a gut check, I dug in and found that just glancing through the names of those marked down as "white", a majority clearly had names with Hispanic origins.
I shared with the researcher that his findings were probably really, really wrong and I was responded with something like, "even if 50% are marked wrong, the findings are still accurate". Some name comparison [1] and spot checking later.. and it ended up being about 80% of hispanic-origin names were marked as "white".
The researcher eventually conceded that the paper was wrong, but it was definitely of an eye opening experience into how the academic world works. I lost a lot of faith in the academic world after that.
[1] https://www.census.gov/data/developers/data-sets/surnames.ht...
I did ask around with these exact concerns in-mind, which led to this paper by the census in their evaluation of this exact problem (the Passel-Word Spanish Surname List was what I compared against): https://www.census.gov/library/working-papers/1993/demo/POP-...
So, I get it, and I had the same concerns as you, but I like to believe I followed proper due diligence in making sure my approach was reasonable. Especially against the risk of the paper being published (consider how the paper could be used in racist narratives).
For example, someone with the name José Santiago Hernández very is unlikely to be Germanic-white versus Hispanic-white.
I would argue instead that you have demonstrated the importance of peer review (a cornerstone of academic research). The problem is not really academic research, but that we do too little of both academic research and peer review.
First, as you found, there was no correlation between deaths and descent. Presumably there weren't statistically anomalously fewer Gomezes than Smiths.
This doesn't eliminate the fact that people wrote down fewer dead as Hispanic than as white. So:
Second, there actually were fewer dead Hispanics than dead whites, understanding "Hispanic" as "a person who looks Hispanic" and "white" as "a person who looks white".
Third, or alternatively there is no statistical difference between dead Hispanics and dead whites, but somehow fewer dead Hispanics ended up at the morgues to be written down as dead.
I didn't learn a damn thing from the process.
At my gym, all the personal trainers boldly reject food recommendations from the government or scientific papers. They have applied the scientific method themselves to find a system and foods that work, and even have their own online communities. They also can replicate their results with their clients.
At my women's book club, I've noticed more and more mom's are homeschooling their kids in pods, it went from 0% before covid to nearly 50% now, and I live in a pretty affluent liberal area.
My husband's fantasy football group talked about inflation since the start of covid, and now are extremely distrustful of the "media" and "experts".
I'm watching the breakdown of establishment trust in my own life in a very liberal circle of friends and family. I can't imagine how much worse it is in red america.
I've lost enormous faith in the media since 2015, when it became obvious that most of the news (other than the weather report) is simply propaganda or clickbait.
For example, take the recent airliner crash in China. NBC news ran a video clip of it flying straight down into the ground. That clip turned out to be a fake.
The news anchors are completely shameless in the promulgation of their agendas.
We are told inflation is passing or a temporary blip by the top econ people in govt. Meanwhile, wage pressure, housing price pressures and more are through the roof.
We are told that a portfolio of stocks that invests even in part in fossil fuels is doomed (economically) even though it is a scarce commodity from many volatile regions and that evidence is that ESG wildly outperforms.
We are told climate change is the biggest threat, but efforts to solve it are largely forbidden (ie, no nuclear) unless they involve massive sacrifice instead of innovation.
We are told it is critical to ban a plastic straw in a restaurant that goes in the garbage but that the tons of trash literally blowing into the ocean from folks in RV's along the water who can't be bothered to throw trash into the cans right there is OK and there should be no consequence.
We are told our new LED bulbs won't ficker or buzz when dimmed and will last our lifetimes.
Masks won't protect us supposedly from an AIRBORNE virus.
A higher risk of arrest by younger men for things like murder is a sign of discrimination against young men, vs any chance of a difference in underlying incidence of murder by young men.
We are told Hunter Biden has acted with integrity, that the details of corrupt chinese payments on a laptop are "Russian Disinformation". Um - no. Our kids don't get invited to be on boards of companies they have no experience with, even though they didn't have issues with drugs and are good students.
The issue for me is that you don't need to have any knowledge of science to see just HUGE internal inconsistencies in a lot of the "preaching" we receive. This results in a massive reduction of confidence in authority which is a big negative to the liberal movement in my view which is supportive of a bigger role of govt in our lives.
Further, the criticism of academia as being full of egg-headed elites who are completely disconnected from the public need has been around for decades - far longer than the current systemic funding and tenure problems.
The public have been bombarded with ridiculous, counter-intuitive "science" for decades, only for a lot of it to be quietly withdrawn or superceded later. It erodes trust.
And that's without taking into consideration the shady corporate-science bullshit like the fat vs sugar debate in nutrition science. If a company can buy a paper that says whatever it wants, and get it peer-reviewed and published in a journal, why would we trust science? Should we even?
In medicine, the Journal of the AMA and the New England Journal of Medicine seem to be the main sources of articles that reach the public's eye.
The editor of the New England Journal once complained that it was troubling how papers that had only tentative results, more suggestions for further research than conclusions, would get blown out of proportion in the mainstream news media.
Some of the burden is on the journalists, not the researchers.
And of course the journals could make the scientists reframe their papers so they're not catnip for journos.
How do they do that? Start suing news outlets?
But I do agree that at least one of the main problems is that academics have the ability to sift through research while others don't. So better self policing and an easier way for the public to digest the information is probably what's needed here. I think the problem here is that the public don't trust the scientific community to self police.
>Further, the criticism of academia as being full of egg-headed elites who are completely disconnected from the public need has been around for decades - far longer than the current systemic funding and tenure problems.
I think the internet and social media just really took the mask off for a lot of people. The tribalism probably kicked into overdrive when they can just look researchers up and actually confirm that the scientists are part of their outgroup.
I'm not sure that better self policing is a good idea. I think we want academics to be exposed to a sea of research, much of which is half baked or has big flaws. Preventing the "probably wrong, but maybe something is here" papers from being discussed limits the ability to actually make big things happen. There is simply an education problem where laypeople (and media) have decided that peer review is something that it has never been and a huge amount of misunderstanding (deliberate or accidental) of the scientific community derives from this.
> I think the internet and social media just really took the mask off for a lot of people. The tribalism probably kicked into overdrive when they can just look researchers up and actually confirm that the scientists are part of their outgroup.
I think this is definitely true. When TPUSA can basically publish an "enemies list" of academics they don't like the end result is a stream of harassment.
Kudos for retracting. Integrity is probably more important for science, than intelligence (not meant as offense, there are a million reasons a experiment can produce odd one time results).
Too many published results seem to not be reproducible anymore and not many are even trying, as there is little benefit in reconfirming findings, but rather incentive to publish, publish, publish. Quantity over quality it seems. We somehow need to change that again.
Eating eggs gives you cancer. Next week it protects you from cancer.
Coffee cause hearth problems. Next week it prevents heart problems.
And so on and on for basically everything we eat.
For some time, Kale was faddy, every study was recommending eating it. REcently, I read somewhere it gives you cancer.
groan
I'd rather know what to avoid, even if you think that question is "wrong" (I don't agree).
> Skip sugary drinks, limit milk and dairy products to one to two servings per day, and limit juice to a small glass per day.
> Limit red meat, and avoid processed meats such as bacon and sausage.
> avoid partially hydrogenated oils, which contain unhealthy trans fats. Remember that low-fat does not mean “healthy.”
I doubt it, and again it's excessively vague:
* "Limit"?
* "Sugary drinks?"
* "One or two servings" that's literally doubling the serving count. How can that be, where consuming twice as many of something is as fine as consuming half?
* Juices should be limited but my fruit and veg intake per meal should be 50%, that is contradictory information, unless you're trying to suggest blending things reduces its nutritional value.
* If that is the case, how blended? Should I not chop my carrots? Minced onion is worse for me than diced onion, should I just eat the onion whole?
* Is it better to starve than to violate these rules?
* What, specifically, are the consequences of violating these rules? If I, today, eat one additional serving of fruit than I "ought", am I cutting my lifespan by three days? Six weeks?
Even if you can answer every question I put up here, would you mind publishing your phone number so everyone in HN can give you a call every time something isn't covered here? By the way, what are your credentials? Why should I trust your assertion that this is a solved problem, or that your interpretations of this document are accurate? Why should I trust this website in the first place? Yes, it's Harvard, but I don't trust them blindly; how did they arrive at these conclusions?
Please, don't condescendingly link to a nutritional chart page and think it answers every question, or suggest this information isn't regularly changing.
Good questions. I have no credibility and I don't pretend to have it. Ask you nutritionist. I just read the official nutrition advises carefully. And you should too. Also, check the referenced research if you can.
> or suggest this information isn't regularly changing.
It doesn't for quite some time already. Also all changes have been explained. See for example: https://news.ycombinator.com/item?id=12480733.
> * "Limit"?
You probably don't have to avoid it like a poison. The less, the better, I guess.
> * "Sugary drinks?"
Every drink which contains a lot of sugar. For example, Cola and juice both have about 10 grams/100 ml of sugar. This is 2 table spoons per 200 ml. Compare to the recommended daily sugar intake.
> * "One or two servings" that's literally doubling the serving count. How can that be, where consuming twice as many of something is as fine as consuming half?
It must depend on how much calories you generally need per day. People are very different. If you need a personal advice, ask a nutritionist.
> * Juices should be limited but my fruit and veg intake per meal should be 50%, that is contradictory information, unless you're trying to suggest blending things reduces its nutritional value.
I don't see any contradiction here. Fruits contain not just sugar but also fiber which is necessary for a good health. See also: https://www.nhs.uk/live-well/eat-well/5-a-day/why-5-a-day/.
> unless you're trying to suggest blending things reduces its nutritional value.
This is not how I understand it. See also recipes from the HSPH.
> * Is it better to starve than to violate these rules?
In general, they recommend a diet with a great variety, so it's a "no".
> What, specifically, are the consequences of violating these rules?
There is a lot of info on that website. If you read that, you will see, e.g., that processed red meat increases the risk of a cancer.
And yet you're giving nutritional advice on Hacker News to complete strangers. Maybe remember your lack of credibility next time you claim a topic is a solved problem.
I'm just tired of lazy people who don't want to read the official advises and prefer to say that everything is unclear in the nutrition science.
You may be tired of people not being informed, but I'm tired of ignorant people thinking they know more about a topic than they actually do.
Care to elaborate? Harvard Public School of Health is a professional nutritional organization, isn't it?
> both less correct and even more vague.
This is a shallow dismissal, which is against the HN rules.
I'm always happy to be corrected and understand nutrition better.
Why does this distinction matter here?
> it's not a shallow dismissal, it's just a dismissal due to your self professed lack of credentials on the topic
I didn't provide my own advice (in that case, you would be right). I repeated a professional advice, possibly incorrectly, and you did not provide any explanation why you think it's wrong, just dismissed it. This is by definition a shallow dismissal.
secondarily, high glycemic index and low fiber, generally not as good as low glycemic index and high fiber.
its really simple
https://www.theonion.com/eggs-good-for-you-this-week-1819565...
When there are statements in the article "Such results erode confidence in academic work", the confidence is only eroded in the papers that are bad, which is how it has always worked. Confidence isn't lost in every paper, or the scientific process, but laypeople and administrators see some stat about "30%" of papers have some error, then all of must science is wrong.
While papers remain the main standard by which science is communicated maybe there is a place for those in the scientific community that do know to be more vocal about which papers are worth reading.
https://fantasticanachronism.com/2020/09/11/whats-wrong-with...
"studies that replicate are cited at the same rate as studies that do not"
Confidence is eroded in all papers by this sort of thing, because academic structures are the same across fields. Whilst individual fields or labs may be more rigorous than others, people can't be expected to keep a massive database in their heads of which fields are good and bad. To be able to generalize about quality requires institutions that create quality, but universities don't do this. And because universities dominate "science" or at least the public discussion of it, that lack of quality control reflects on all science.
So what does this mean? The professors pushing the papers out are not doing their due diligence and there is no one else doing public checking. The loop is open. It is not science. That's the crisis.
The US has a focus on "input legitimacy" which is partially "we do it the way they show in Schoolhouse Rock", and partially about the way politician's communication styles make people feel.
The Chinese model based on "output legitimacy" (do institutions demonstrate competence in action) has its own problems (what if things go wrong that we can't control) but should be at least partially emulated in the West. (The flip side of "what if things go wrong" is a reflexive habit of making excuses, sometimes even before they're needed.)
If Ukraine survives, for instance, winning the war will make the Ukraine be perceived as one of the most legitimate in the world as opposed to an illegitimate cesspool of corruption. It is astonishing how 2014 was a wake up call for Ukraine to build up its military competence and how Ukraine responded to that.
http://www.bbc.co.uk/news/av/world-41521671/100-women-amy-cu...
Very doubtful. You just need common sense. Like, if this actually worked then you'd be seeing it spread very fast everywhere, but in reality it apparently needs a constant flow of TED Talks to get people to take it seriously. Ditto for priming studies, etc.
More recently there's been COVID. The problems here aren't exactly the same as the replication crisis, partly because nobody seems to try and replicate anything in the first place. Really IMHO the problems are much worse. Nothing could possibly destroy confidence in academic and public sector expertise faster than being told masks don't work, followed by they work so well they're now mandatory, followed in turn by seeing case graphs where switching mandates on/off very clearly has no effect whatsoever.
The constant flow of bad models that were never acknowledged is particularly destructive. Most people can't articulate why the models always seemed to be wrong except through vague generalities like "bad assumptions", but it doesn't matter. Epidemiological modelling is toast in the public mind, along with the lockdowns they led to. The understanding that they're unreliable is fact based, not emotional, even if the details aren't there.
At any rate, having done deep dives into too many trash COVID papers in the past two years, I can't say knowing the exact details of why they're wrong makes much difference. The important thing is actually the social problems surrounding them, in particular the lack of any institutional acknowledgement or response that there's an issue. Observe how discussion of the replication crisis started with and still mostly comes from individual researchers, not institutional leaders. We can see there is no psychological acceptance of how badly they've been getting it wrong because, for example, Imperial College London (home of Prof Lockdown himself) just banned parents from attending their children's graduation ceremony due to COVID:
https://dailysceptic.org/2022/03/31/imperial-college-london-...
This is at a time of record high cases and after the Queen got it at 95. Nobody cared, it was in the news for barely a day. ICL comes across as a delusional institution with this sort of act, and combined with all the stories of activist craziness on campus, it's getting widely noticed by the general public.
https://www.wired.com/story/social-science-reproducibility/
https://www.psychologytoday.com/us/basics/replication-crisis
It feels very much like the author Thomas Prosser has an axe to grind when he includes this study of methodology (in a subsub field of sociology) with the larger issue of replication.
Should academic research be done in secret or in a way that actively prevents the public from accessing their results? No. Should we disabuse ourselves of the notion that the public matters to this process? Yes.
None of it matters to the lives of nearly anyone until it's gone through many, many layers of filtering. We, the public, ought to let that filtering play out, rather than meddle in the process
For what it is worth, I happen to know that big tech companies follow research at big name CS universities with a bit of interest. At times, even borrowing the research itself in their products. At one point, a professor I worked under was quoted in Android documentation.
Of course we can't verify the entire involved knowledge any time, and that's why the concept of collaborative peer review was born, not much different than the concept of "chains of trust": interest researchers in something verify some others publications and add up their own confirmations or doubt, "the network" do the rest.
The problem there is that such review and network does not really exists. Oh yes there is the ArXiv, HAL, ... papers circulate etc, but the "mainstream" is a network of hi priced journals and hi paid corporate-backed research + equally hi paid PR in the press. That's why people loose confidence: they do not have ontological means to know but they smell actual Science is mostly commerce and just very little Science.
IMVHO the sole way to correct that is build the above mentioned networks. Public, publicly well-founded universities that do research and reviews for the society, very-well separated from the private sector, and share this knowledge with the entire world. At that point the SciHub will be a public, legal and well founded platform and PR can do something but not enough to contaminate knowledge for private interest. At that point people would still not be able to verify, witch is not good, but they have something worth their confidence.
Well, the Blair government is remembered for going to war against Iraq on the basis of evidence that was not sufficiently validated and that was later found to be fabricated:
More specifically, the report blamed Secret Intelligence Service (better known as MI6) head Sir Richard Dearlove who presented so-called "hot" intelligence about alleged weapons of mass destruction provided by an Iraqi with "phenomenal access" to high levels in the Iraqi government directly to Blair, without first confirming its accuracy.[43] The investigators found that references to this intelligence in government reports were over-certain and did not adequately stress uncertainties and nuance. The informant was later found to have been lying. The Chilcot report states that "personal intervention [by Dearlove] and its urgency gave added weight to a report that had not been properly evaluated and would have coloured the perception of ministers and senior officials".[44] The day after the report was published, Blair conceded that he should have challenged such intelligence reports before relying on them to justify military action in Iraq.[43][45]
https://en.wikipedia.org/wiki/Iraq_Inquiry#Case_for_war_was_...
So perhaps it's not only the fault of those pesky liberal intellectuals and their rabid postmodernism that the public has lost its confidence to all sorts of institutions.
I also blame the Monty Pythons, for example.
When some X accumulates a track record of not working, people give up on X. Maybe then X will get improved, and slowly people will give it another chance.
The OP seemed to be mostly about the quality of the science in the social sciences. Hmm ....
But, in medicine, there are efforts to be careful. E.g., can test a new drug with double blind randomized placebo controlled trials. Maybe that methodology is good enough to be trusted? It appears that I trusted it when I got two shots and a booster from Moderna against Covid.
In math, hmm ..., if there is a claim of solid proof, published in a respected peer reviewed journal, and so far no one has found any flaw in the proof, then some trust can be justified.
The gravitational detection work of LIGO is astounding, and I'm trusting it. And I have yet to check in detail the math of general relativity -- it's on my long term TODO list!
And I trust the claims for the Webb Space Telescope, and the reasoning for its location at a Lagrange 2 point.
So, in medicine, math, and physics, I can have some trust!
For the social sciences, my view is influenced by my wife and brother, both of whom tried those, got Ph.D. degrees, etc.
flat-earthers
half-joking aside, I have come to understand that the academic institutions are part of the state (perhaps I should say civilization?). the point being that academia (as the part of state that I'm saying it is) has a primary function of ensuring stability (same as the most well known face of the state i.e. government); this is mind-bending when faced with the idea that academic research is at the forefront of advancing civilization into uncharted waters (...a PhD must provide an original novel contribution...).
Seems that at some point artists became showbiz employees and at that same time, only scholars kept 'advancing the state of the art'. Which is a role historically fulfilled by real artists of the sort that ain't doing it for money nor fame.
Social science has always been full of incertainty and biased results, it seems rather normal the public don't trust it blindfully.
Just last week or so there was a paper in Nature about how fMRI studies -- a modern backbone of neuroscience work -- have also been mostly unreplicable. This follows a litany of other papers showing the same thing. That Nature paper made transparent allusions to genetics which invested tons of money in studies which were also largely unreplicable, with fairly obvious power issues that were ignored. When the replicability crisis started getting attention, there were interviews with pharmacology corporation scientists saying that the pharm industry tends to internally assume that 2/3 of published pharmacology studies will not replicate when applied to the real world. There were studies showing that oncology had similar rates of problems, and so forth and so on.
The social sciences is fuzzy as you say but they also tend to turn the microscope on science itself first. Meta-analysis in its modern form (as opposed to early statistical methodology papers) comes from psychology; this is just more of the same. There probably are differences across fields but I think few fields are immune.
Also, I would push back on the idea that the general public's mistrust is limited to the social sciences. I would argue that issues with climate change skepticism are driven in part by a general distrust of academic findings and scientists, and many of the problems during the pandemic with skepticism about vaccination, masking policies, and so forth were driven by skepticism about biomedical research. Possner said "such challenges do not affect academic confidence in the reality of (say) climate change and Coronavirus"; I was puzzled by this precisely because I couldn't tell if he was being ironic, or pointing these out as areas where there is a contrast between academic confidence and public confidence in those findings, as if to say "well look at how much the public distrusts that; now imagine when academic confidence is eroded further?"
My biggest problem with the linked piece, in fact, is that it is framed around the question "what happens when the public loses confidence in academic findings" when that problem is already here to a big extent. We saw what happened during the pandemic. That's what happens.
Academics to some extent is falling apart, and it's not limited to the social sciences. The problems with misttrust are running deep and I think academic and political communities have their head in the sand, rather than taking their structural problems seriously. It's always the messenger: the irrational public, the muddle-headed social scientists who are exposing the problems, it's never the corruption in academics itself.
Academics: Incentives are frequently to publish fast and often. This encourages work with less detail, higher uncertainty/error, and less impactful work. You simply cannot produce as high quality work in 3 months as you can in 1 year (or 3) or research. Often we want PhD students to produce 5 first author papers in top tier journals before graduating. That's 5-6 years to produce just as many top tier papers (realistically 3-4 given your first 2 years are more class based). It is possible to put out a high quality and high impact paper every year, yes. But this is also a very difficult task.
Journals: There's no need to explain this one to anyone who has gone through the review process. Everyone I know that has attempted to publish papers has had several papers where they question what the reviewer actually read because it definitely wasn't their paper. Or where reviewers are vastly under-qualified to review the topic at hand. These are common occurrences. (Note: this more often causes false negatives rather than false positives due to incentive alignments) This creates legitimate complaints and can often be misunderstood from people outside academia.
Reporting: We all have seen this. Things like "eating chocolate is healthy" and other things that are obviously wrong. We've seen universities oversell their research. We see news channels oversell or vastly misunderstand research (despite having easy access to experts and that authors are frequently happy to discuss their research). The public also doesn't understand things like confidence levels. They don't understand that we have a different confidence level in anthropocentric climate change vs how much healthier a glass of wine a day is. This isn't their fault though. We should hold the reporters (academic or news sources) accountable since their are structured to be the science communicators. Instead they are politicizing and adding opinions rather than explaining.
Politics: We all know this one. Everything is politicized. Not just that, but to the point where things are "left" or "right". If the left supports one thing then the right opposes it and vise versa. This is far worse than both sides accepting the issue and coming at it from different angles (which I've seen this happen and both angles also not be in line with the actual research). Covid is a great example: people on the left over-estimate the dangers and people on the right vastly underestimate them (these are not equally biased positions and I'm not claiming they are, just noting that both have errors, not the magnitude of the errors). Climate change is another example, where right denies and left only focuses on pop/hip topics like tree planting or banning straws and not larger issues. (I'll note that in my anecdotal observations it seems that the magnitude of error is frequently smaller on the left).
So we have a system where we aren't encouraged to do high quality research (not meaning it doesn't happen, there are a lot of researchers), research (of any kind) is difficult to get properly peer reviewed, it is poorly explained to laymen, and results become tribal. Why does the public lose confidence in academic findings? You tell me.
Researchers Brock and Thornley of New Zealand published and then almost immediately retracted a paper linking COVID-19 vaccines and a much-higher-than-previously-found miscarriage rate. Scholar still lists the original paper posted---with no cover page indicating the retraction. (They do have a separate link to the retraction press release if you look for it.) The main result on Scholar links to a half dozen "not-so-academic" websites (ellinikahoaxes.gr, wokeguru.org, resistance-mondiale.com) hosting the same paper. I'm willing to bet even if the original paper could be removed, independent websites would continue to try relisting it.
While it's important to keep a record of bad research rather than scrubbing it away from history entirely, it seems feasible to have a reporting system in place for paper retractions, where the title link includes [retracted dd-mm-yyyy] or something.
This was my small taste of disappointment (aka loss of confidence) in a relatively popular academic tool.
In grad school I was told to generally assume that the tool with the second highest line in the key graph was the best tool. The top line was invariably the author's tool and its results rarely translated to other experiments. But the tool with the second line was usable by somebody other than its original author on a different problem space.
Empirical SE research is part of the social sciences. The subset of SE research that doesn't push hard for collaboration with social science departments is doing just fine.
I listed Software Engineering because it is one of the fields I know well but is way less esoteric than the other one I know well (PL). You'll find the same kinds of replication problems in POPL or OOPSLA papers too.
I suspect that other subfields don't fare any better. I certainly hear from my ML friends that a huge portion of ML results are untrustworthy.
Those papers have lots of issues, especially cherry-picking and narration of the results' significance.
But the core claim -- "I found N bugs in the following codebases" -- is generally reproducible.
It will not happen, though.
1) Refusing to police non-rigorous fields invoking scientific authority. As the article notes, even rigorous fields are full of results that cannot be reproduced. The situation is even worse in non-rigorous fields. In his famous essay on cargo-cult science, Richard Feynman specifically called out "educational and psychological studies" as "examples of what I would like to call Cargo Cult Science." https://calteches.library.caltech.edu/51/2/CargoCult.htm. Yet today, there is a movement to accord any PhD the respect of the title "doctor," as if an EdD was an authority similar to a PhD in physics. People do this to be polite but it has grave consequences.
The respect people accord "science" is, at the end of the day, built on results. We trust doctors because they delivered concrete results that medicine men could not. In the long run, people will notice that EdD is often wrong, because it's not a rigorous field, and that will tarnish the credibility of everyone with a PhD, because the lay public quite reasonably doesn't understand these distinctions in rigor.
2) Allowing scientific authority to be invoked for political purposes. There is a difference between scientific results, and the value systems of individual scientists. Science can, for example, create a vaccine. It cannot address the political question of whether anyone should get the vaccine--that question relies on cost/benefit analysis that, in turn, depends on individual value systems. Or in another example, science can tell you the probability of spreading a disease in a grocery store versus a church, but cannot tell you whether grocery stores or churches are more important. Moreover, most people intuitively understand this distinction. There are, of course, some people who will ignore scientific facts that are as plain as day. But there are a lot more people who will chafe at feeling like they are being told "I'm smarter than you, so you have to accept my values." That, in the long run, will undermine their trust in scientific results.
And if we, as highly educated people who understand "science" are honest with ourselves, that skepticism may not be unwarranted. We know that biases exist in the system. For example, it is well known that publication bias exists: studies reporting positive results get published, while studies reporting negative results don't get published: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3341407/. As science becomes more politicized, it's inevitable that other kinds of publication bias will affect not only the reported results, but even the kinds of questions that are studied.
No. We shouldn't be putting so much weight on the title of "doctor" for physics PhD's either; several physics PhD's I know personally are absolutely barking mad, and there's a long history of physics PhD's getting over their skis on other fields like medicine.
Meanwhile, the usage of "doctor" that you're decrying here is the more historically well-established one.
This article is a nice overview of the modern moral panic gripping academia and spilling over into everything else. At this point laypeople are right to question academia as it's once noble purpose has been totally coopted by ascientific progressive politiking.