376 karma · joined July 2, 2015
One can't help but wonder how do you factor the generational recursion these traits have. We know how much some of these are due to our environmental exposure, and how we are socially trained.
Transgender people are in the crux of this colossal attempt to define personality by measure, and yet I literally do not see us mentioned even once. I'd like to know where a set of my cohort follow in this D measure from their assigned gender to their expression. Are nonbinaries truly in the middle?
What does this distance look like in settings where traits are conditionally measured? E.G. how do highly empathetic men compare to highly empathetic women?
These questions are salient to me because I am in the early stages of transition myself and I find articles like this always lacking key details to sate my curiosity.
[1] https://news.ycombinator.com/item?id=19421612]
Pilots trained for Boeing’s 737 Max airplane with “an iPad lesson for an hour” (qz.com)https://github.com/lightninglabs/neutrino
> Neutrino is an experimental Bitcoin light client written in Go and designed with mobile Lightning Network clients in mind. It uses a new proposal for compact block filters to minimize bandwidth and storage use on the client side, while attempting to preserve privacy and minimize processor load on full nodes serving light clients.
We have her do a manual backup periodically, but now I am going to automate that and make it robust. I am honestly afraid for the future of that data. This is just another part of why I am glad all of my own important data is on Linux machines that I have relatively strong control over, and backup automatically.
What a time to be alive! I can't wait until they can edit your memories out of your brain and store them on the cloud, you know for more capacity and safer recall.
So those time conversions need to be augmented to understand reference frames in the special case, or continuous reference transitions in the general case. I am sure it will be a gnu extension by 2020.