Common Knowledge or Fortune?

These strange tables below come from an unusual and fiendishly tricky online trivia competition in w

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  1. Avatar for jim.r jim.r says:

    That’s an awful lot of power that this Wildenstein Institute wields.

    What’s the trivia game called? Looks fun!

  2. That stats table looks like LearnedLeague. Lot’s of fun but a bit time consuming (and don’t shirk your responsibilities to participate or you’ll be kicked out tout de suite!)

  3. Avatar for rguinn rguinn says:

    Yes, it is Learned League, and Enoch is right. More than a couple daily forfeits and you’re gone. The reason Ben and I have a different number of questions answered is that I have forfeited once (this season, just spaced out), and he has never forfeited!

  4. The lessons are pretty clear is very prescient…I am reminded of the years I spent in what most call mission critical teams and developing a situational awareness that curates a mindset of changing conditions in getting to a desired outcome. Some thoughts…

    Internet…Furthermore, whereas the original system was non-hierarchical, decentralized and required active users, a handful of companies now operate as gatekeepers and they funnel content through algorithms to users who are being pushed into passivity. Whereas before users would click-by-click navigate the open internet, users are now placed behind ‘walled gardens’ where they scroll through reams of content curated for them by proprietary algorithms.

    Key Insights: Feedback Loops/Decision Making/Tempo

    Operations do not take place in a vacuum…they are shaped by external dynamics/agents from policy makers, media, and leadership. Navigating this environment is complex in pushing forward to productive/effective outcomes.

    “Our true nature, said Proust, is outside of time, and involuntary memory is the gateway to redemption.”

  5. Avatar for rguinn rguinn says:

    Complex, and because so many of these walled gardens are so without our knowledge (as you point out), sometimes impossible.

  6. Came across this in my morning reads…if I am blabbing too much, someone tell to just shut-up, but thought it would add to the flavor of this conversation…

    Ref: Anders Sandberg, Gwern

    As the world gets bigger it gets weirder. In big worlds reporting on noteworthy extreme events becomes useless at informing us about the world.

    This is an interesting one because it illustrates a version of Littlewood’s Law“ of Miracles”: in a world with ~8 billion people, one which is increasingly networked and mobile and wealthy at that, a one-in-billion event will happen 8 times a month.

    This is life in a big world, and it’s only getting bigger as the global population grows, wealth & leisure grow, and technologies advance. (If you thought humans could think & do weird things and fail in weird ways, just wait until everyone gets their hands on good AI tech!) There are billions of people out there, and anything that can go weird, will.

    Weirdness increasingly tells us nothing about the world at large. If you lived in a small village of 100 people and you heard a few anecdotes about bad behavior, the extremes are not that extreme, and you can learn from them (they may even give a good idea of what humans in general are like); if you live in a village of 10 billion people, you learn… nothing, really, because those few extreme anecdotes represent extraordinary flukes which are the confluence of countless individual flukes, which will never happen again in precisely that way.

    More immediately, you should keep your eye on the ball: don’t rely on self-selected convenience samples of news/opinions/responses/anecdotes brought to you by other people, but make your own convenience sample which will at least have different biases and be less extreme (ie don’t go off 10 comments online, ask 10 of your followers instead, or read 10 random stories instead of the top 10 trending stories); insist on following back sources (if you don’t have time to trace something back to its source, then you don’t have the right to share it to other people & use up their time); discount things which are “too good to be true”; focus on immediate utility; try to reduce reliance on anecdotes & stories; consider epistemological analogues of robust statistics like simply throwing out the top and bottom percentiles of data; especially try to ignore recent news; and ///pay attention to the trends, the big picture, the central tendency, not outliers.///

    The world is only getting bigger.

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