







“How can you not be romantic about baseball?” — Moneyball 2011
Moneyball: the art of winning an unfair game ; [with a new afterword]
Billy Beane, general manager of MLB's Oakland A's and p…

Analyzing Baseball Data with R (3e)
Back in the late 1980s, as a college student, I would go to the NHL offices in downtown Montreal, and pick up their official end-of-season statistics package. This was something that was reserved for the media, but somehow I had the idea to ask, and they were kind enough to oblige. Since I was learning dBase, I then had to manually enter every piece of data in that package, probably some 20,000 discrete data values. Combining sports, numbers, and computers was a labour of love for me. Add in that in the 1980s, Pete Palmer and Bill James inspired the sabermetric revolution: my career path was set, as was that of thousands more.

Moneyball
Michael Lewis’s instant classic may be 'the most influential book on sports ever written' (<em>People</em>), but 'you need know absolutely nothing about baseball to appreciate the wit, snap, economy and incisiveness of [Lewis’s] thoughts about it' (Janet Maslin, <em>New York Times</em>).<br /><br />One of <em>GQ</em>'s 50 Best Books of Literary Journalism of the 21st Century • A <em>Kirkus Review</em> Best Book of the 21st Century (So Far), Moneyball, The Art of Winning an Unfair Game, Michael Lewis, 9780393324815

Moneyball (film)
Moneyball is a 2011 American biographical sports drama film directed by Bennett Miller and adapted by Steven Zaillian and Aaron Sorkin. It stars Brad Pitt, Jonah Hill, Philip Seymour Hoffman, Robin Wright and Chris Pratt. The film is based on the 2003 book Moneyball: The Art of Winning an Unfair Game by Michael Lewis, an account of the Oakland Athletics baseball team's 2002 season and their general manager Billy Beane's attempts to assemble a competitive team with half as much money as his rivals. Moneyball follows Beane and his deputy Peter Brand scout the major leagues for undervalued talent by taking a sophisticated sabermetric approach to scouting and analyzing players, triggering skepticism and resentment within the baseball community.

Field notes #1: July 2026 - Things your Bluesky can do for you as an artist + Artfight, ArtWHAT? - Field notes: The ARTmosphere
And an overall pulse check on things in the Atmosphere
The Steve Ballmer Interview

BlATBall - Interdimensional Baseball on AT Protocol
Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement
Clearly-defined rules are often assumed to be straightforward to automate and evaluate. We challenge this assumption through an in-depth study of Major League Baseball's (MLB) seven-year experimentation with the Automated Ball-Strike System (ABS). ABS is envisioned to call balls and strikes accurately: a seemingly straightforward use of technology to objectively determine the distance between a pitch and the strike zone. Although the strike zone is an area clearly defined in the rulebook, it took MLB seven years to figure out how to automate calling balls and strikes with ABS, showing how even seemingly straightforward rules require a complex translation process to operationalize via technological systems. In this paper, we trace the design decisions that led to the current implementation of ABS. Our case study reveals that "distance" exists even between a clear rule and its technological implementation. Using analytic frameworks from Science and Technology Studies (STS), we show that such distance exists because (1) historically, the "ground truth" of the strike zone is contested: the rule in practice has always reflected a hybrid between the rulebook definition and umpires' enforcement decisions; and (2) the use of ABS is embedded in an existing eco-system, where the implementation of a technological enforcement system needs to balance multiple stakeholder values. This perspective challenges conventional evaluation paradigms that center on the distance between a formalized rule and its technological implementation, and instead calls for evaluating how such systems are experienced in practice. Addressing this question requires in-depth social science approaches, contributing to ongoing conversations in FAccT about the implementation and evaluation of sociotechnical systems.

What is Bluesky when it’s not the underdog? | TechCrunch
Bluesky is having a moment — a moment that’s already stretched on for nearly three months. Over the summer, the social media app saw a wave of new

This is a really insightful thread that points out some of the fundamental issues with the Bluesky community vs Bluesky as a decentralized protocol. This thread is also why I think it's a really smart move for Bluesky to appeal to fandoms... (cont.)
B. Prendergast
One of the Atmosphere’s big bets is that the next 100m users will be won by making decentralised tech + data sovereignty more compelling. I’m less than convinced. We may be solving problems only builders care about, while overlooking problems that actually make ordinary people choose a network.
this latest “bluesky is dying” wave feels like a good time for me to reshare the talk i gave at Atmosphere Conference 2026 i’m biased of course, but i think it does a pretty damn good job of explaining how we got here and where we’re going i’ve never felt more certain that atproto will “win”
From Toilets to Moths: The Future of Social Media is Weird and Not for Everyone
dame.isAnil Dash
It's important to understand: social networks are not meant to be one-size-fits all! When Meta (which makes Threads, as well as Facebook and Instagram) creates platforms that have hundreds of millions of users, they do things like enable genocides, where tens of thousands of innocent people die.
Bee 🐝 (@sweetbee.vip)
Bee 🐝 (@sweetbee.vip)
Bee 🐝 (@sweetbee.vip)
Bee 🐝 (@sweetbee.vip)
Bee 🐝 (@sweetbee.vip)
Bee 🐝 (@sweetbee.vip)