You learn something new every day, whether or not you realize it right away. There are no exceptions to this rule.
Today I learned the difference between bowler hats, pork pie hats and fedoras. Before today, they were all just fedoras to me. It never occurred to me that all three of these different hat styles had different names.
I also learned that Roseanne is Jewish, and that gummy shot glasses exist.
It doesn't have to be anything life-changing or significant or anything, just something that you learned. So AG, I ask you now, what did you learn today?
That bit about finally proceeding to format when all else fails especially rang true: [Me] So do you want your browser to remember your online passwords? No. So you don't want to keep them for such-and-so sites that it now stores them for? No. So I'm gonna disable that and delete them, right? Yes, fine, please do. [Delete] Wait, what did you just do? You mean those passwords are gone now? But surely there's some restore gizmo? No, sorry, they really are gone. That's what I just told you. But! How can you do that! That's really so not-done of you! You should have asked me first! But that's what I just did, I'm sorry if you misunderstood. [Here's me after some seven hours of scanning for a virus that's not there, & running over a gazillion finesses while I'm at it, all neatly presented so as to be comprehensible to the total digiphobe. Being duly yapped full of this that and the other while ostensibly these scans are "just running" and so I don't seemingly have a lot to "do."]
... %$# Oh well, here's to being a Mac in shining armor always ready to help out a former lover in distress. I did promise a session two; no, we will call you
I learned that your nose is connected to the memory centre of your brain and that is why smells can trigger powerful memories.
I learned that you might be from the UK because you wrote centre while here in the US they use center. So I check where you are from and there you are, from the UK.
Today I went a British bike factory called Brompton and it was really interesting how it runs, I learnt tons not just about the construction of their bikes but how factories and industries work.
How to interpret population parameters of dummy variables related to time when analyzing pooled cross-sectional data, and how to overcome the failure of the homoscedasticity assumption for causal inference.