惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

月光博客
月光博客
WordPress大学
WordPress大学
博客园 - 三生石上(FineUI控件)
H
Help Net Security
小众软件
小众软件
The Cloudflare Blog
人人都是产品经理
人人都是产品经理
Apple Machine Learning Research
Apple Machine Learning Research
S
SegmentFault 最新的问题
Last Week in AI
Last Week in AI
爱范儿
爱范儿
量子位
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
IT之家
IT之家
博客园 - 【当耐特】
V
Visual Studio Blog
大猫的无限游戏
大猫的无限游戏
博客园_首页
Jina AI
Jina AI
D
Docker
博客园 - 司徒正美
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Microsoft Security Blog
Microsoft Security Blog
阮一峰的网络日志
阮一峰的网络日志

Michael Tsai

Michael Tsai - Blog - macOS 26.5.1 Michael Tsai - Blog - Taphouse 1.5 Michael Tsai - Blog - StopTheMadness Pro 26 Michael Tsai - Blog - Mac External Display Support Reference Michael Tsai - Blog - Bartender Pro Michael Tsai - Blog - ARC Overhead in Swift Sorting Michael Tsai - Blog - Iris 1.0 Michael Tsai - Blog - Halide Mark III Michael Tsai - Blog - !Camera Michael Tsai - Blog - Project Indigo Michael Tsai - Blog - Unpro Camera Michael Tsai - Blog - Iris Rejected From the App Store Michael Tsai - Blog - OpenAI Model’s Proof of Erdős Unit Distance Problem Michael Tsai - Blog - Apps for YouTube℠™®•! Michael Tsai - Blog - Google’s Intelligent Search Box Michael Tsai - Blog - Apple Asks Supreme Court to Review Epic Ruling Michael Tsai - Blog - Cleve Moler, RIP Michael Tsai - Blog - Steve Jobs in Exile Michael Tsai - Blog - Leaving CloudKit Michael Tsai - Blog - Lawsuits Claim OpenAI and Perplexity Shared User Data for Advertising Michael Tsai - Blog - Inkwell Rejected From the App Store Michael Tsai - Blog - Hijacking Apps Using Archive Utility Michael Tsai - Blog - Core Data Lab 3.0 Michael Tsai - Blog - Updating Shared Shortcuts Michael Tsai - Blog - Apple vs. Indian Antitrust Regulator Michael Tsai - Blog - Apple’s 2026 Accessibility Feature Preview Michael Tsai - Blog - How Fake Contacts Can Fix Dictation’s Proper Noun Problems Michael Tsai - Blog - Fantastical at 15 Michael Tsai - Blog - Fortnite Returns to the App Store Except in Australia Michael Tsai - Blog - Kickstart 1.0
Michael Tsai - Blog - Stats Visualization in Apple Sports
Michael J. Tsai · 2026-05-23 · via Michael Tsai

John Gruber:

I’ve got some gripes about certain specific aspects of Apple Sports. Like, where does one even start to explain how much is wrong with their zero-sum visualization of team stats? Has anyone ever even seen a presentation like that before?

It has to be seen to be believed. What on earth were they thinking?

Still kind of curious that Apple Sports remains iPhone-only — not even an iPad version — but in a way I find that charming too. Maybe Apple is tight on money?

Kieran Healy:

John is right to call the picture a “Zero Sum” representation. The design strongly suggests to the viewer that, within each row, we’re looking at each team’s share of a total. Each pair of black and blue lines seem to be vying for control of their whole row, with the longest line being the “winner” in each case.

[…]

Literally none of the measures in the Basketball data above are zero-sum in this way. Both teams could shoot 100% from the free throw line, or zero percent. But because the first three measures shown are percentages, this reinforces the zero-sum impression given by the lines. It certainly did that in my case. But then, starting with Assists, the remaining rows are just absolute numbers. When I started looking at the absolute numbers, I got confused a second time by the length of the lines. “Oh so it’s not a share, it’s the value” I thought—but no, they do correspond in terms of relative proportions to the teams share within each row. But they’re not really shares they’re just magnitudes. But they have to be shown in a fixed space and we want to make them relatively comparable somehow so … Argh.

Apple’s software design right now seems to love uniformity. Throw a bunch of disparate statistics—or system settings—in a big list. It looks superficially clean and is easy to code. It seems like there’s a chart that’s illuminating the results, but it’s actually worse than a traditional text-only box score. The numbers that you most want to compare are placed maximally far apart. It’s like reading a table of contents with dual-colored dot leaders, but of course in a table of contents you aren’t meant to be reading all the page numbers.

Our fundamental problem is that we just have two cases (the teams) and fifteen different measures, or variables. Each variable, except for the three percentages, is in effect on its own scale. There’s no direct way to make comparisons across them.

John Gruber:

The problem is further complicated by the fact that Apple Sports shows the same screen for all sports, just with different sport-specific stats. I think the solution is to just present these numbers in a table. Yes, tables are boring. But they’re not confusing. What Apple Sports is doing, in an attempt not to be boring, is confusing.

Previously:

9 Comments