The Dumber Side of Smart People
collabfund.com
collabfund.com
However, most people who make hiring decisions outside of academia (and increasingly many inside it) are part of a different culture which assigns status based on the confidence a person projects and their ability to inspire other people to feel strongly about things they say. While there are also people of the former culture making hiring decisions in sufficiently technical fields, it's hard to avoid the pressures of this second culture.
Also, the pressure on knowledge workers is the same as that on workers of any kind: While there are a few stray independently wealthy people or even quasi-independent rags-to-riches successes in the world, by the numbers most people have to dance for their dinner, so they have to either become conversant in this culture of confidence or find people they trust to navigate it for them
I actually don't think the second culture has no value. It's a lot more powerful in building organizations and gaining buy-in from lots of people. I also don't think the first culture completely avoids the failure modes mentioned in this article. Obviously people with what I've called academic norms definitely fall into this article's discussed pattern of trusting people based on their credentials and disproportionately Think They Are Very Smart
That said, since people fluent in the second culture tend to rise to the top of organizations, people in the first culture increasingly need to signal confidence even when it's inappropriate to justify their existence as they move into a professional sphere, which again most people don't really have the option to opt out of
The academic STEM culture is a very carefully nurtured group of people who believe (at least to a greater extent) that truth should be decided on by a repeatable, impartial procedure that leverages natural phenomenon. So if two engineers disagree about the minimum conditions for a building to collapse, they are usually the sort of people who will converge on what happens in reality.
The more normal culture is to accept that while there may or may not be an objective truth, what really matters is what most people think. Narrative suddenly becomes important and the truth depends a lot on what you are trying to achieve. Think lawyers and judges. They may accept an objective truth exists in principle, but at the end of the day to them an argument can only be settled by most people agreeing on the truth (including dead people if tradition gets involved).
The first culture is more powerful when dealing with reality (to the shock of nobody). The second is more effective at dealing with groups and generally is more pleasant to work with, except when they lose touch with reality completely and goes berserk with groupthink.
Coincidentally, these dynamics explain why political bodies often choose to drive over the cliff rather than swerve.
The uncomfortable truth is that such people always have lost touch with reality, that makes them very easy to deal with when they like you since they will overlook your faults and mistakes. But when such people dislike you then they will only see faults and mistakes in what you do.
So it isn't that the first and second versions of those are more attuned to reality, the difference is only how positive or negative their lack of reality check is for you.
― Bertrand Russell
[1] https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect
Interesting. That is so completely at odds with my experience that I find it hard to actually believe. I guess I need to look at the research.
1) Answering a specific question: "how confident are you in your results?" In this context, confidence is correlated with correctness.
2) Projecting external confidence in a social context. In this case, your experience and mine agree that the most overtly confident people are generally not the most competent ones.
But it hasnt happened yet cause accessing funds, managing finances, building networks, attracting talent, customers, handling competition and conflict while keeping ever growing group size (ie factions and differdnt agendas,needs,values) from breaking apart, requires lot of tactics that tech hasnt fully addressed yet.
One problem is that experts use their own jargon and often confuse one use of normal words with their jargon.
The second step is dismissing rather than inquiring.
>I often wonder how many tens of billions of dollars have been paid to management consultants to solve problems that low-wage line workers had solutions for, only because a guy in a suit has a hard time taking a guy with dirty fingernails seriously.
But management 3 levels up decides on colors and wordings.
Being inside the industry, I can say this is a very accurate observation:
> If asked, “Why did the stock market fall 0.23% last week?” an average person will shrug their shoulders and walk away. A very smart person will show you their yield-curve model and valuation analysis and tell you whether the performance will continue. Who do you think is more likely to be stricken by overconfidence?
Remember this anytime you watch CNBC & the like.. they can describe in hindsight the WHAT, but the WHY is generally made up on the fly. A classic smart sounding but meaningless joke answer to the above question is "More sellers than buyers". A lot of financial media is basically this.
There's a much broader topic behind this called Rationalization [1]. I won't forget the sentence by a professor of psychology that said: People are not rational. They are rationalizing.
For me, it took a while to sink in but now I do not focus too much on explanations anymore as these are anyways afterthoughts of intransparent internal processes. However, I pay more attention to how people act.
Interestingly, all this is also some kind of rationalization that my mind made up. But how can I be in control of the inner workings of my brain anyways...
[1] https://en.wikipedia.org/wiki/Rationalization_(psychology)
“What will the market do?” “Well, it will fluctuate.” <-- great answer if you can get away with it
I would say it’s an inaccurate observation, since a smart person would know that using a couple macroeconomic measures cannot explain short term changes in prices.
The idiots & geniuses would respond "I dunno, it's complicated".
The big middle reasonably high IQ "smart person" will ascribe causation based on what they are most familiar with.
Macro guy will point at rates, fundamental guy will point to some specific earnings season themes, quant guy will be like "momentum meltdown", sell side desk guys will have some flows explanation, etc.
The answer is really some unknowable combination of "all of the above".
What's the alternative? Develop social intuitions. Observe your local surrounding environment and the people around you. Try to listen to their personal stories. Tell them yours. Then you can probably figure out what's valuable for them, what drives them every day. Applying that knowledge in the economic realm might change the world for the better.
Yes, sometimes it's OK to say "I don't know". But sometimes it's really not. All people, smart or not, start off in a state of "I don't know". But if it's your job to know then you need to put in the work to make sure you know, or at least know as much as you can. Someone saying "I don't know" doesn't mean they are dumb or smart, it could just mean they are lazy.
On number 2 I just disagree with the definition of smart. A smart person knows when to listen to someone and when not. Should you ignore people with less experience? Of course not. Should you listen to everyone? Of course not!
Smart people definitely suffer from being human, like everyone else, and can become emotionally attached to their ideas etc. I don't think this is a "smart person" trait. But, even so, it is often a very good idea to not buckle to the pressure of fashion and short-term trends. For every story of someone refusing to adapt there is one of someone who was right all along but it took a while for the world to realise.
That's what I look for when I interview people.
Definitely not "I know" when they don't, or "I don't know" and a shrug.
Unless you make it very clear at the outset of the interview that this is exploratory and we will be working with network connectivity and full access to the world's knowledge.
I have sent followups to interviewers on problems that were interesting or deep, but those conversations never turned into anything.
Nobody can possibly hold all the knowledge they'll need in their head at once. A fundamentally important part of any skilled job is being able to adapt, improvise and learn on the job. This is what is being tested, not what you know/don't know.
The market for narratives is also bigger than the market for noisy predictions, which in turn feeds the supply for narratives.
Is it though? For starters, you're going to have to listen to a lot of terrible ideas, which is time-consuming even if ideas are easy to evaluate (like jokes). If we're talking business strategy or science or technology, ideas can be very difficult/expensive/time-consuming to evaluate, credentials serve as a useful filtering step[0]. Next time the author has a health problem I suspect they'll go to a credentialed doctor rather than polling random people on the street.
I agree that smart people can be overconfident, so it's good to have some humility, but it's also good to try to spend time effectively. And dumb people are perfectly capable of being overconfident as well, it's not like this is a problem unique to smart people. Ignorance can breed overconfidence just as much as knowledge; it's easy to "solve" a problem when you don't actually understand why it's difficult in the first place and your solution never gets tested against reality.
[0] The extent that this is true is also a way to judge the credentialing system. Most areas have informal "credentials" based on experience/reputation, eg Jerry Seinfeld and Larry David are considered authorities on comedy and it's not because they have PhDs.
Most people get the difference between intelligence, and knowledge, but there is something in between: technique. And this is the part that confuses most people - it seems kind of like intelligence, but really it's more like knowledge. You may know a technique, you may be able to use it, and still have no idea why it works, why it's used, and where it's no longer applicable.
Being in academia != intelligence. In most of my experiences in the Ivory Tower, the smartest people tended to leave after a short while. Modern US based academia 'hires' on intelligence and 'promotes' based on blind loyalty to the system, boiling off anyone with dignity, honor, or self-respect.
I see that a lot at large financial institutions. Their architecture teams are often comprised of lifers that have never worked in a different industry, or for a different employer. They're experts in how the bank does things, not how the rest of the tech world does things now, and innovation gets stifled.
"Well, bob such and such thinks a lot of things, but he really doesn't have that much experience or understand the code base or customer needs"
or
"He's obnoxious and do we really think he knows what X customer wants, get Suzy on it from leadership to show the powerpoint on what we are planning, Bob isn't good at selling the vision".
It ends up 6 months later that we end up messing up that feature and Bob ends up being the one right all along and we are doing it anyway and the original feature or design was just from the leaders own head, entirely missing the mark.
Like Elon?
The guy who said "fuck advertisers" in public even though his X business depended on them.
I would argue that the person is not truly smart if they get analysis paralysis.
Here's a story from the field https://news.ycombinator.com/item?id=38802996
First, that Robin Williams anecdote. It’s absurd. If it’s even true, a macroeconomics class isn’t necessarily difficult nor do they always ask difficult questions. It’s more likely, “What happens to the price when demand goes up and supply remains the same?”
Next,
> If asked, “Why did the stock market fall 0.23% last week?” an average person will shrug their shoulders and walk away. A very smart person will show you their yield-curve model and valuation analysis and tell you whether the performance will continue.
This is patently false. Some smart people might do this. Many will behave in the same manner as the average person. Smart does not mean a person feels the need to have a correct answer for every question and to convey the confidence of always being correct. I know the article might arrive at this point, but lying about reality before getting there is a nonstarter. So this is where I stop reading.
I would like to see evidence that people getting hard degrees are like this. Plenty of un book smart people think they know it all too, see Reddit comments for plenty of examples.
This is false.
TL;R Smart people have some biases and flaws too.