📚 Quinn's Highlights

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A batch of the best highlights from what Quinn's read, .

Most people love the idea of collaboration . . . as long as it promises to do exactly what they want it to do. But that is not how collaboration works. Collaboration (as we talk about it) is not forced or coerced. It requires you to give up control. And because it’s not predetermined, it requires you to give up certainty.

Impact Networks

David Ehrlichman

One of the most effective tools for building a culture of trust is simply saying, “I trust you to do the right thing.” Backing those words with action shows people that you’re serious. Larry once had about 40 people reporting to him in a research unit of a major consulting firm. As a manager, he was expected to read and approve all travel and expense forms. Since many of these consultants traveled extensively, this would have meant spending a half-day or more on paperwork each week. This struck him as a tremendous waste of time and energy that did not add any value to his unit. At a group meeting, he told the team that he trusted them to stay at a Marriott rather than a Four Seasons hotel, and that he wasn’t going to dive into their expense reports. He realized that the cost of not trusting the group would be far greater than an infrequent upgrade from coach to business class. This not only gave Larry time to do more worthwhile work, but it added to the group’s social capital.11 They knew they were trusted and proved to be trustworthy over the years.

The Smart Mission

Edward J. Hoffman, Matthew Kohut, and Laurence Prusak

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

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