I know. I am repeating myself.
These got mixed and entangled in my mind, and I cannot help but returning to that pet topic of mine. First, some statistically irrelevant facts of my personal observations – probably an example of narrative fallacy or mistaking correlation for causation:
I had planned to reconnect to my roots as a physicist for a long time despite working crazy schedules as a so-called corporate knowledge worker. Besides making the domain subversiv.at mine and populating it with content similar to the weirdest in this blog I invented my personal therapy to deflect menacing burn-out: I started reading or better working with my old physics textbooks. Due to time constraints I sometimes had to do this very early in the morning – and I am not a lark. I have read three books on sleep research recently – I know that both my sleep duration as well as my midsleep are above average and I lived in a severely sleep-deprived state most of my adult life.
Anyway, the point was: Physics textbooks gave me some rehash of things I had forgotten and prepared me to e.g. work with the heat transfer equation again. But what was more important was: These books transformed my mind in unexpected ways. Neither entertaining science-is-cool pop-sci books nor philosophical / psychological books about life, the universe and everything could do this for me at that level. (For the records: I tried these to, and I am not shy to admit I picked some self-help books also. Dale Carnegie, no less.)
There were at least two positive effects – I try to describe them in my armchair psychologist’s language. Better interpretations welcome!
Concentrating and abstract reasoning seems to be effective in stopping or overruling the internal over-thinking machine that runs in circles if you feel trapped in your life or career. Probably people like me try to over-analyze what has to be decided intuitively anyway. Keeping the thinking engine busy lets the intuitive part do its work. Whatever it was – it was pleasant, and despite the additional strain on sleep and schedule it left me more energetic, more optimistic, and above all more motivated and passionate about that non-physics work.
I also found that my work related results – the deliverables as we say – improved. I have been the utmost perfectionist ever since and my ability to create extensive documentation in parallel to doing the equivalent of cardiac surgery to IT systems is legendary (so she says in her modest manner). Nevertheless, plowing through tensor calculus and field equations helps to hone these skills even more. For those who aren’t familiar with that working style: The mantra of other Clint-Eastwood-like firefighters is rather: Real experts don’t provide documentation!
I would lie if I would describe troubleshooting issues with digital certificates as closely related to theoretical physics. You can make some remote connections between skills that are sort of related, in the sense of cryptography is math after all, but I am not operating at that deep mathematical level most of the time. I rather believe that anything rigorous and mathy puts your mind – or better its analytical subsystem – in a advanced state. Advanced refers to the better preparation to tackle a specific class of problems. The caveat is that you lose this ability if you stop reading textbooks at 4:00 AM.
Using Kahneman’s terminology (mentioned briefly in my previous post) I consider mathy science the ultimate training for system 2 – your typically slow rational decision making engine. It takes hard work and dedication at the beginning to make system 2 work effortless in some domains. In my very first lecture at the university ever the math professor stated that mathematics will purge and accelerate your brain – and right he was.
Hence I am so skeptical about joyful learning and using that science-is-cool-look-at-that-great-geeky-video-of-blackholes-and-curved-space approach. There is no simple and easy shortcut and you absolutely, positively have to love the so-called tedious work you need to put in. You are rewarded later with that grand view from the top of the mountain. The ‘trick’ is that you don’t consider it tedious work.
Kahneman is critical of so-called intuition – effortless intuitive system 1 at work – and he gives convincing accounts of cold-hearted algorithms beating humans, e.g. in picking the best candidate for a job. However, he describes his struggles with another school of thought of psychologists who are wary of algorithms. I have scathed dumb HR-acronym-checking-bots at this blog, too. But Kahneman finally reached an agreement with algorithm haters as he acknowledged that there is a specific type of expert intuition that appears like magic to outsiders. His examples: Firefighters and nurses who feel what is wrong – and act accordingly – before they can articulate it. He still believes that picking stocks or picking job applicants is not a skill and positive results don’t correlate at with skill but are completely random.
I absolutely love the example of firefighters as I can literally relate to it. Kahneman demystifies their magic abilities though as he states that this is basically pattern recognition – you have gathered similar experience, and after many years of exposure system 1 can draw from that wealth of patterns unconsciously.
Returning to my statistically irrelevant narrative this does still not explain completely why exposure to theoretical physics should make me better at analyzing faulty security protocols. Physics textbooks make you an expert in solving physics textbook problems, this is: in recognizing patterns and provide you with ideas of that type of out-of-the-box idea you sometimes need to find a clever mathematical proof. You might get better in solving that physics puzzles people enjoy sharing on social media.
But probably the relation to troubleshooting tech problems is very simple and boils down to the fact that you love to tackle formal, technical problems again and again even if many attempts are in vain. The motivation and the challenge is in looking at the problem as a black box and trying to find a clever way to get in. Every time you fail you learn something nonetheless, and that learning is a pleasure in its own right.