- Really good explanations of algorithms at https://cp-algorithms.com (I recently went through https://cp-algorithms.com/data_structures/segment_tree.html, so my opinion is mostly based on that article).
- “Nothing is more responsible for ‘good old days’ then bad memory” This observation is very interesting. Initially, I found the quote while thinking of better ways to practice my own memory. How human memory works? How to make it better? Can we trust our memories a few years back? What do we choose to remember and what do we forget? For myself, I discovered that I need frequent reminders of things that I really want to remember and internalize. And that I want to put emphasis on things important to me, especially if they can be applied across multiple domains in our lives. Read more at https://quoteinvestigator.com/2018/05/04/old-days/ or https://medium.com/the-ascent/3-reasons-you-are-wrong-about-the-good-old-days-e868973f37a9
- Did you ever wonder how to get quality information? In our current hyper-connected world increasing the signal-to-noise ratio in the available data is really important. Is it easy to differentiate true information from “fake news”? Our brains tend to use heuristic which is optimized to save energy, not filter information (see: ” Thinking, Fast and Slow”, by Daniel Kahneman). Even knowing that I still really recommend this introduction to scientific thinking from Neil deGrasse Tyson: https://www.masterclass.com/classes/neil-degrasse-tyson-teaches-scientific-thinking-and-communication/ He gives a specific example of a “healing gemstone”. If someone offered you one today, would you buy it immediately? Reject it immediately? Both approaches are intellectually lazy. I really recommend this particular class as it gives a really good start to scientific thinking for everyone. He uses his language very carefully, because “It’s not enough to be right. You also have to be effective”.
- A simple test to check if you are a scientist 😉 https://xkcd.com/242/