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Why Bigger Animals Live Longer: The Relationship between Size, Energy, and Longevity Summary: The larger an animal is, the more efficient it becomes in terms of energy consumption. This is because the self-similar fractal structure of larger animals allows them to save energy. Bigger animals require less energy proportionally to run their bodies due to the massive amount of tissue per gram or per cell. As a result, bigger animals experience less wear and tear and live longer than smaller animals. The reason for less wear and tear is that bigger animals use less energy and create less damage, reducing entropy. This principle can also be observed in machines, where those subjected to less stress and driven at lower revs per minute tend to last longer. Transcript: Speaker 2 So that's why we don't need to double our metabolism when we double our weight. It's that fractal like self similarity that allows us to get these essentially efficient savings in the amount of energy we need. So it's better to be bigger, isn't it? Because you don't need as much energy proportionally to run yourself. Correct. Speaker 1 So you need massive tissue per gram of tissue or per cell. You need less energy, the bigger you are. And by the way, this has huge consequences throughout all aspects of biology and life. And maybe one just to tie it back to the beginning of this discussion where we started out by talking about aging and mortality. This means that the bigger you are, the less hard your cell is working. The bigger you are, there's less wear and tear the longer you live systematically. So this is the origin of why bigger things live longer than smaller things. Speaker 2 And why is there less wear and tear if you're bigger? Speaker 1 You're using less energy and creating less entropy. That is you're creating less damage the bigger you are because simply you're using much less energy if you have an engine, an automobile and you insist on racing it at 10,000 revs per Minute every time you drive it, I can assure you that car will not live as long as a car that's driven by a little old lady or a little old man like me who keeps the revs at about two or three Thousand revs per minute. So you know, cars and machines last much longer, the less stress you put on them.

Scaling 2 — You and I Are Fractals

Simplifying Complexity

Pol.is: An Example of Tools for Facilitating Non-Adverserial Debate at Scale Summary: A twitter-like system in Taiwan guides conversations towards consensual outcomes by using k-means clustering. It's a simple proof of concept for fact checking and has been effective in large-scale conversations. The science of plurality can advance to help navigate complexity in diverse opinions. Transcript: Speaker 2 Pol.is i don't know if you guys are familiar with that but it's a system used in Taiwan it's a twitter like format but it deliberately guides conversations towards consensual or partially Consensual outcomes while highlighting the differences that exist in the conversations in a non-judgmental way and it's just a wonderful system and at the same time it's like the Most simplistic proof of concept of the general direction it uses k-means clustering of stated opinions it doesn't use any natural language processing it's like the bargain basement Version of what it's trying to achieve but it still has been transformatively effective for these types of conversations at scale in Taiwan and is being adopted if it survives by the Twitter bird watch folks as the foundations of what they're trying to do for fact checking so i do believe that there is a science here that can advance dramatically i think that we have Not chosen to apply ourselves to it because we've been seduced by oh we're going to do the unbiased algorithm that's going to predict the truth the right way rather than saying no people Are diverse you have a lot of different opinions how do we actually help people navigate that complexity so i really am hopeful that this science what i would call plurality really can Advance and and help us do these things much better and again i'll put in the plug if you're a researcher interested in these things we're trying to build an academic community that really Wants to work on them right to me at when at pluralitynetwork.org

Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized Society

COMPLEXITY: Physics of Life

The danger, and you see it often in investing, is when people become too McNamara-like – so obsessed with data and so confident in their models that they leave no room for error or surprise. No room for things to be crazy, dumb, unexplainable, and to remain that way for a long time. Always asking, “Why is this happening?” and expecting there to be a rational answer. Or worse, always mistaking what happened for what you think should have happened. The ones who thrive long term are those who understand the real world is a neverending chain of absurdity, confusions, messy relationships, and imperfect people.

Does Not Compute

collabfund.com

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