IANAeconomist but may I ask, tongue firmly in cheek, if they also only pour water into the shallow end of swimming pools to avoid contributing drownings?
Joe used to have all that code in his world-readable NFS-mounted home directory. He would just create a new directory for every idea or project. Take it with him from one computer to the next.
I hope that's preserved and one day published as e.g. the old MIT AI lab file system snapshots were.
(Robert Virding or Bjärne Däcker might well have a copy of the Prolog code to share if asked nicely.)
I think the median user starts with quicklisp and then clones random stuff into the ~/quicklisp/local-projects/ dir where they are automatically visible.
Oxidation is a big problem with the harsh no-clean fluxes in many cheap lead-free solder wires. Switching to a rosin flux (RMA or RA) name brand solder should fix that (did for me.)
Metcal have a great big doc on tip care that covers this.
The failure mode that I worry about and would need X-ray to detect is that temporary misalignment will merge/bridge some of the solder balls.
I like to "wiggle" the chip with tweezers (under hot air) to see surface tension in action and judge whether the balls have all melted, but a tiny bit too much wiggle causes that problem.
I'm a parent of young kids in Scandinavia. The way I see it is that I mostly work and earn money for my own personal satisfaction. It's a selfish and egotistical activity but important for my own mental health.
I need to be careful that it doesn't interfere with my responsibility to raise independent kids who don't want or need money from me. This takes time and energy to make sure they can make the most of the social infrastructure available to them e.g. their school.
I'm very restrained in how I spend money for private consumption out of concern for setting an example that's unproductive e.g. making the kids feel pressure to earn a lot of money to sustain a lifestyle of luxury.
The center of a normal distribution has high likelihood (e.g. 1000000) if the standard deviation is small or low likelihood if the standard deviation is large (e.g. 1/1000000.)
This effect is amplified when you are working with products of likelihoods. They can be infinitesimal or astronomical.
Giant likelihoods really surprised me the first time I experienced them but they’re not uncommon when you work with synthetic test data in high dimensions and/or small scales.
They still integrate to the same magnitude because the higher likelihood values are spread over shorter spans.
He said that in his youth his colleagues were in awe of him because he was brave enough to give presentations in English. (They were shy and stuck to the local Swiss German dialect.)
Besides all his innumerable accomplishments he was also a hero to Joe Armstrong and a big influence on his brand of simplicity.
Joe would often quote Wirth as saying that yes, overlapping windows might be better than tiled ones, but not better enough to justify their cost in implementation complexity.
RIP. He is also a hero for me for his 80th birthday symposium at ETH where he showed off his new port of Oberon to a homebrew CPU running on a random FPGA dev board with USB peropherals. My ambition is to be that kind of 80 year old one day, too.
It's really comical not being able to fit into a devroom for a talk and noticing that people inside weren't actually paying attention but rather just holding a chair for another talk coming later...
Thankfully the hallway is then full of people interested in that subject!