Using the suggested framework, those would be class 2 not class 3.
https://www.forbes.com/sites/susantardanico/2012/03/28/entire-management-team-killed-a-ceos-turnaround-story/ accident or successful class 3 assassination? As I understand it, analysis of these situations can be aided by wearing the correct headgear: https://tvtropes.org/pmwiki/pmwiki.php/Main/TinfoilHat
https://en.m.wikipedia.org/wiki/Rise_and_Kill_First at least one group of people appear to have accepted at least some of your argument.
Furthermore, assassinations fall into three categories:
Where the assassin takes credit afterwards (for intimidation, bragging to supporters, etc), where a third party is blamed (to prevent reprisals being directed at the source), and where it is unclear that an assassination was performed (wow IBM got screwed hard by that plane crash).
From the perspective in the OP, it is clear that there is a detection challenge. The most useful categories (to an assassin) are the third and the second, the least useful is the first. An external observer will see only the first category, and a potential subset of the second category, but is unlikely to see many members of the third category.
Maybe they're very common, and you're just not seeing the obvious.
And the absolute most attractive job for a psychopath is 'determiner of who is and is not neuropsychologically fit'.
If you're a shitty human there's money to be made as a child psychologist leveraging that. Abuses are common and it's not hard to issue a pitch like the following: "pay me 30k and I won't tell the court you're an unfit parent and send your kids to the foster care system".
Did you actually learn to speak piraha? Everyone I know totally refused to participate, so I dropped the idea.
Cmon dark side of the moon space telescope and weapons test range.
A 100k potlatch is easy.
If male, do a dangerous looking activity that demonstrates your mastery of some activity with / in front of a group of your closest friends, then bring them to a wild party with plentiful dopamine agonists and easy sex with attractive women (cocaine and hookers).
If female, pay young and attractive females to do your bidding, dress yourself up to be as pretty as you can, and go somewhere where you can be seen by as many (ideally high status) people as possible.
Repeat until out of money.
Try to avoid alcohol, strip clubs, slot machines, and canned hunting, as they are cheap and shitty imitations.
Enron's inner circle did company retreats with atv riding followed by wild parties. Larry Ellison owns a fighter jet and pays a 25k noise fine whenever he takes it out at 3am.
I initially wrote a lot more, with activity recommendations, but really this covers it.
If you do want specific advice, it's available, just invite me to the party.
You know, for science.
I would be surprised if you could not figure out if two people are screwing with moderate confidence using nothing but demographic data and location based metadata dumped into a ML algorithm. The price of false positives is a few unnecessary tests, and is therefore super low, so it doesn't even have to be that good of a system.
Tinder data could be purchased to build out the initial algorithm, and if there are still challenges, volunteers could be solicited for validation data.
Mixing in public social media (instagram) and actual communications content might help, but after validation of the location system, probably isn't necessary, but could be analyzed using robots rather than human review, which is apparently acceptable for other purposes.
Is it morally justified to use location metadata (gps), public social media (instagram), communications metadata (contact lists), and communication content to enumerate close contacts that may have spread respiratory viruses? If so, how could it be wrong to use the exact same dataset to fight other diseases with massive social burdens.
I mean sure, some people might cry about their privacy, but the data isn't theirs, courts have established that it belongs to the communication companies, all of whom are apparently on board with metadata assisted surveillance for security and now public health.
Google and Apple are building the Bluetooth tracker, the Chinese gps app with color coding for exposure risk is a thing, facebook checked instagram to see if people in Italy are social distancing. Nobody is crying about any of these things. This is just a proposal to use the same datasets for the same reason.
Anyone who argues can be labelled pro disease and pushee out of the public debate, just like anyone who complains about flu tracking software can be asked, 'do you want old people to die'?
The initial system could be instrumented with a color coding scheme, and an app. When people go to dr offices, part of the basic vitals check at the start of a visit is the doctor running a database check and suggesting testing for various conditions based on the color code. The app to check your own color code status could be downloaded by interested users. 'Show your color' would become something people just ask each other during intimate encounters.
Most jurisdictions already require that positive tests for certain pathogens (STIs are on this list) be reported to a central authority by doctors, this is a long-standing thing and nobody with an opinion that matters questions it:
Governments could implement this proposal without much public debate by just rolling out a corona app, adding features for different classes of respiratory disease, then adding features for the rest of the 'reportable pathogens' that are transmitted by different means. The model could be developed in house using already available data (reported tests and location metadata).
We can look back at this post in five years and see how things have moved. Good luck stopping it if you think this is morally repugnant as you apparently do.
So three years with a good anki deck would be more valuable than sitting classes in terms of remembering the useful stuff?
This and the other 4 stories from a mathematician turned sci-fi author have aged well. Hope you enjoy them as much as I did when I read them.