Avoiding mistakes? What are thought processes and mental checks to use?

  • Thread starter Thread starter pa5tabear
  • Start date Start date
AI Thread Summary
To avoid making mistakes, it's essential to adopt a disciplined thought process and apply mental checks during tasks. Recognizing that mistakes are often inevitable, especially while multitasking, can lead to improved accuracy through conscious thought ordering. A practical approach includes verifying if results "look right" based on contextual understanding and established rules of thumb. This involves assessing calculations for logical consistency, such as ensuring probabilities fall within expected ranges or checking that means align with intuitive expectations. Experience plays a crucial role, as familiarity with typical outcomes helps identify errors. In real-life scenarios, collaboration and automation are effective strategies for minimizing mistakes, while in academic settings, techniques like dimensional analysis, estimating expected outcomes, and checking conserved quantities can enhance accuracy in problem-solving.
pa5tabear
Messages
174
Reaction score
0
What do you do to avoid making mistakes? It's not a big problem for me, but I realized I don't consciously order my thoughts, and I don't always apply mental checks.

Does anyone follow a thought pattern or process to check themselves at each action?

I know mistakes are inevitable, especially when multitasking, but I think I could improve by thinking in a more disciplined manner.
 
Physics news on Phys.org
Hey pa5tabear.

One thing that I can recommend regardless of the problem or approach used is to check whether something "looks right".

What I mean by this is that you look at the answer and see if it makes sense based on the rules of thumbs and contextual information.

I can't really elaborate on the general case but I'll give a few specific examples.

Some of the more obvious ones are things like calculating probabilities that are > 1 or negative or a value that is just wildly wrong relative to the other probabilities.

Another one is calculating a mean where you have the PDF and intuitively, you know the mean should be positive but it ends up negative.

Other things include doing the same thing with even the simplest operators: You integrate xy over the unit square and if you get a large number you know something is screwed up somewhere.

On top of this you have tangible reference points and this just comes from experience. Say you do a calculation to analyze some process and you look at the answer and you think "WTF?".

If I had to reduce it down, it would be that at every step, you mentally think about the rough kind of state-space that the answer should be and for the general solution, draw on non-mathematical means to think about whether the answer makes sense in the context of a set of related things like the physical interpretation of the result and other related characteristics.
 
pa5tabear said:
What do you do to avoid making mistakes?

On a test or in real life?

In real life you avoid making mistakes by having several people check the calculation, and by having as much done automatically as possible. This is extremely effective. So effective that you can't use them on tests in school. :-) :-(

There are some thing that I do in physics problems

1) make sure that the dimensions are correct
2) have some idea of what the number is that I'm supposed to get
3) check for conserved quantities
4) quick math things. For example, if you do a polynomial equation, set X=1,0,-1, and see if it works at each step
 
I’ve been looking through the curricula of several European theoretical/mathematical physics MSc programs (ETH, Oxford, Cambridge, LMU, ENS Paris, etc), and I’m struck by how little emphasis they place on advanced fundamental courses. Nearly everything seems to be research-adjacent: string theory, quantum field theory, quantum optics, cosmology, soft matter physics, black hole radiation, etc. What I don’t see are the kinds of “second-pass fundamentals” I was hoping for, things like...
TL;DR Summary: I want to do a PhD in applied math but I hate group theory, is this a big problem? Hello, I am a second-year math and physics double major with a minor in data science. I just finished group theory (today actually), and it was my least favorite class in all of university so far. It doesn't interest me, and I am also very bad at it compared to other math courses I have done. The other courses I have done are calculus I-III, ODEs, Linear Algebra, and Prob/Stats. Is it a...
Back
Top