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The Danger of Incorrectly Mapping Between Scientific Measures and Truth Transcript: Speaker 1 And it's a problem when scientific culture tolerates too much ambiguity. There's always a caveat there, which is that at the early stage of theory development, sometimes you need ambiguity because you don't actually know really what you're talking about Yet. And so you need to allow for multiple interpretations to be possible until you can figure out what you mean. But a mature theory should be minimally ambiguous. This is at odds with things like metrics in terms of let's say how to evaluate something because people think, oh, well, it's scientific. Therefore, I want to use this to then therefore impose a value judge on something. It's better because it has a higher score on it. But that's not what science is actually able to do. Science can say, it has this score and it measures this thing because what it measures is this. If you say what it measures is this, and therefore it means this other thing, that's a problem because that's a false mapping. And it's not really about ambiguity versus precision. It's about, I think, the imprecision of the mapping between the measure and the term. So if you want to measure something like happiness or economic prosperity, you can say, well, we'll measure the genie coefficient, we'll measure GDP. But those are rigorous, clearly unambiguous measures. They have a meaning. This is what they are. This is how we measure them. We can compare things on this measure. And that's not problematic until you then say, and it is better to have a higher GDP full stop.

Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale

COMPLEXITY: Physics of Life

Level's Company Onboarding Process Summary: The company has a well-guided onboarding checklist for all employees, which spans over a full month. Each new employee is guided to take onboarding seriously, and not expected to start producing for the first month. There is emphasis on reading specific documentation that outlines the company's culture, which is highlighted as significantly different from past experiences. The company eases new employees into the transparency of operations and has a unique practice of requiring employees to update the onboarding process at the end of the month, reflecting the value that 'everything's written in pencil' and is subject to change. Transcript: Speaker 1 And we have an onboarding checklist in notion. We have a template. We copy it for each new person that joins and they have a set of tasks that they do each day. It's pretty well guided. I can share the template with you if you're curious. That'd be amazing. Speaker 2 I would love that. Is this for all employees or EA specifically? All employees. All employees. Okay. Speaker 1 And there is a video of me at the start of each week. It's a loom where I specifically say, Hey, at this point, people usually want to skip onboarding and start jumping into their tasks. Don't do that. It's always a mistake. Really take onboarding seriously. Our onboarding process is a full month. And we don't expect people to start producing for a month. It really does take that long for a lot of people to get fully up to speed. And we help guide them in more slowly. Read these books. Read this documentation that we have about how we built our culture, especially for our case, because the way that we operate is very different than a lot of people's previous experiences. And so it's pretty jarring when you see a lot of the transparency of when your first one on one gets published to the rest of the company, it's pretty jarring. Speaker 2 And so we try to ease people into these things. You know, it's also going to be jarring is if you become a public company, yeah, totally. Things will have to change a bit. Probably. But yeah, continues. All right. That's a job. Speaker 1 That's true. And over time, people get used to it over the course of about a month. I think the biggest thing is the cultural assimilation. In our case, has been the biggest hurdle over the course of onboarding is getting people reading the memos, practicing some of the things. One of the cultural values that we have is everything's written in pencil. But also you can change things here. And one of the things that we do is at the end of onboarding, everybody is required to update the onboarding process for something that was out of date, and then post to a channel confirming What they changed and just giving a list of what they changed. And it's pretty weird for people, especially those who come from larger companies, like when they've had, you know, the same onboarding process that the company's had for 20 years, And then they go in the actual files and edit it themselves. I'm a new employee.

#694 — Sam Corcos, Co-Founder of Levels — The Ultimate Guide to Virtual Assistants, 10x Delegation, and Winning Freedom by Letting Go

The Tim Ferriss Show

Layers of Information Continually Accumulate *Within* Objects Over Time Summary: Information can be shared between objects as evidence of a common history, indicating that objects are deeply rooted in time. As the biosphere has evolved, it has increased the layers of information processing and abstraction, resulting in the generation of objects that are deeper in time. Consequently, some features of these objects appear less physical and more abstract. Each individual accumulates information over time, making parts of them brand new and parts billions of years old. Transcript: Speaker 1 And so information we talked about has a sort of interesting property that seems very abstract. And it seems to be that information can move between objects, like we're speaking the same language, but when you can share information between objects like you and I speaking, what That is is evidence of a common history. These things that we call information and abstractions, I think, are just evidence that these objects are actually deep in time. So things look more abstract, the deeper and timely are. And it's one of the reasons I think that as the biosphere has evolved over time, it's increased the layers of information processing and abstraction that it's built. But really what it is is you're generating these objects that are deeper and deeper in time. And so some of their features look less and less physical because they're not physical now, they're physical in the structure that's extended in time. Speaker 2 You have a lovely line in one of your papers where you say that each of us are our own age, but in many ways, we're thousands and thousands of years old because we have accumulated all that Information instead of genes to be who we are today. Speaker 1 That's right. So parts of you are brand new. And parts of us are all brand new from this conversation because we've exchanged information and generated new structures. Parts of us are billions of years old.

Big Ideas — Time

Simplifying Complexity

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