This is something I wrote a few years ago and published on Medium. Iâm bringing it back home here â think of it as like a second edition of a book, with some corrections to the text, or maybe đđĄđđđđđ đŒđđđ„đđ đ #-đ, since weâre going back in time for this one. I figure most of you probably havenât seen it, and it may be of interest. Cheers! đđ„
Update: A reader suggested I shouldâve called it âthe mentor modelâ or âmentor effectâ. That sure wouldâve been better branding. These things with âeffectâ or âtheoryâ next to them sound so much more authoritative!
First, I want to point out that everything Iâm saying here is fairly obvious. I just felt like writing it down. And once itâs down, why not share it..?
Almost1 everything we know, we learned at some point. The concepts of âcompound interestâ or of âanchoring biasâ might seem pretty straightforward, but a younger version of you heard of these for the first time and â if the concepts stuck and were integrated â it changed your view of the world, at least a little.
Some people happen to be really talented at doing certain things and really good at teaching others about these things.
People like Warren Buffett, Richard P. Feynman2, Charlie Munger, Daniel Kahneman & Amos Tversky, Andy Grove, etc.
These are pretty revered names, but there are also many other mentors and teachers operating at levels below the superstars3. They might not be quite as well-known or have reputations quite as bullet-proof, but theyâre still very good at what they do.
Iâve noticed an interesting phenomenon in my fields of interest, and I think it probably happens elsewhere too.
It usually goes something like this:
People who have been around the field for a while become increasingly disenchanted with their old mentors and talk about how they used to have good insights but now mostly recycle the same things, their best stuff was their earlier stuff, etc.
It often leads to a kind of retroactive downgrade of the mentorâs value, probably through a âcurse of knowledgeâ effect where, once you know something, itâs hard to put yourself back in the shoes of someone who doesnât know, and see how valuable being taught these things was, and how non-obvious they used to be to you.
Iâve seen it a lot with Warren Buffett, because heâs such an unavoidable name in the investing world. People talk about his letters getting boring and redundant, always going for the same anecdotes and explanations that he has already used in past interviews, etc.
I think what happens can be illustrated with a graph:
The top line is the mentor. Theyâre already at the top of their game, or close to it, by the time you start learning from them. If they werenât, they probably wouldnât be on your radar.
You start near the bottom, but you are in the steep part of the your learning curve, so you progress fast.
In the early days, thereâs lots of âlow hanging-fruitâ insights and concepts to be picked from the mentor. Basically, your mind is being updated rapidly as you download knowledge from various sources.
At some point, the learning curve starts to level off, and while you may keep improving for the rest of your life, the rate of change is much lower.
Skill is non-linear: it can be just as hard, or likely harder, to go the last 10% of the way as it is to go the first 90%, since by that point the insights logically have to be harder to uncover and sources of progress have to be more difficult to tap.
But itâs that last little bit that makes a difference if youâre in a field where youâre competing against other people who probably also went through a similar progression.
If everyone can fairly easily and rapidly get through the first 90%, what will separate the wheat from the chaff will be mostly found in that last, harder-to-get, 10%.
So if we look at you and your mentor during the period relevant to your own progress, they start way ahead of you, but you rapidly catch up a good fraction of the way.
They may keep improving, but the rate at which they keep getting better usually wonât be nearly as fast as the rate that youâre improving at during the early part of the curve.
So the difference between the two lines becomes much smaller, and even if the remaining delta makes all the difference in performance (ie. even if many investors are 80% of the way to Buffett, itâs the other 20% that makes Buffett stand out), it still means that you canât possibly get as much out of them as you could at first. The low-hanging fruits have all been picked.
This is why you get âmentor fatigueâ.
Buffettâs more recent letters will seem worse to someone who has read 40 of them before, because Buffett canât possibly generate entirely new insights as fast as heâs writing letters. After all, heâs also in the harder-going, less steep part of his own learning curve.
But I suspect that if Buffettâs recent letters and interviews had been the first ones that you had ever been exposed to, youâd probably have been much more impressed by them and the insights that seemed redundant to an experienced Buffett-follower would cause important learning and mind-updating to someone getting started.
Even if there was a way to objectively show that the more recent output from a mentor is worse than their earlier stuff (and I agree it often clearly is), I donât think the delta is as large as it might seem to someone who is closer to the mentor in skill than to someone whoâs closer to the bottom.
In short: it's not that these mentors *are* less impressive in absolute terms, just that we tend to feel the relative more than the absolute.
Iâm trying to avoid people nitpicking that âeverythingâ here, because whatâs âlearningâ, really? Are innate skills like seeing and hearing and moving our muscles âlearnedâ?
If you ever wondered what âRPFâ meant in âLibertyRPFâ, look at his initialsâŠ
Those at the top of the pyramid will always attract their share of detractors and/or contrarians who dislike them in large part because they are too popular or because attacking the top dog is a way to raise their social status.




Loved the article đ - it goes to the pile to "re-read" a few months later too!
There is a somewhat similar phenomenon in certain "niche" music or film genres, where a mainstream player is *really* good at showing what that niche is capable of, yet at a later stage are neglected and deemed as unimaginative. Despite the fact that those people would not have arrived to that situation otherwise.
Fantastic, this is spot-on.
I'd add that the closer you get to the last 10%, the more you need to change strategies (IMHO).
a) Look less distilled learnings, and instead look at primary sources. Whether those are one step up the abstraction curve (instead of reading Munger, read Seneca) or whether that means you need to start generating your own firsthand insights from experience. It made me chuckle a few weeks back when a commenter on Byrne Hobart's Substack said something to the effect of "Byrne, how do you find the time to read so much when there is so much wisdom available in newsletters?". Not that there aren't a ton of great newsletters these days, but many fewer really offer synthesis or insight.
b) Learn how to get insights from adjacent fields. Likely the reason why the names you listed are all somewhat polymathic.