Tag: Baseball

Note: The original workshop concept had to be scrubbed because Chris Chapman had to back out. But Mark Graban will now be doing a...

Two-Year Comparisons in Major League Baseball Stats: A Strikeout, not a Homer tl;dr summary: Year-to-year MLB stat comparisons are misleading. Using long-term data and Process...

tl;dr summary: This post examines the trend of Tommy John surgeries in MLB and MiLB using Process Behavior Charts, revealing that the perceived surge...

tl;dr: In the blog post, we delve into MLB's ongoing struggle with slow and lengthy games, analyzing recent rule changes aimed at reducing game...

tl;dr summary: Rare events like MLB perfect games are hard to analyze with simple counts. Process Behavior Charts--especially "days between events"--reveal real signals without...

TL;DR: Words can exaggerate short-term changes and invite speculation. Charts--especially run charts--make variation, trends, and context visible, helping leaders avoid overreacting to noise and...

tl;dr: Bryce Harper's so-called "bust" seasons weren't busts at all--they were normal variation. When you plot his monthly OPS on a Process Behavior Chart,...

TL;DR: Shohei Ohtani's extraordinary success as a two-way MLB star reflects more than talent--it's a real-world example of the Harada Method, a goal-setting and...

I'm often reminded of what the late Peter Scholtes would write or say (often repeated by W. Edwards Deming), where he basically said there...

TL;DR: During the COVID-19 shutdown, most MLB teams cut minor leaguers to save money. A few teams didn't -- and that decision became a...

tl;dr: Headlines about baseball trends--like Bryce Harper's performance, game length, or declining attendance--can be misleading. Using Process Behavior Charts, we can distinguish between meaningful...

TL;DR: Home runs in MLB haven't just "gone up"--the data shows a real system shift, not random year-to-year variation. Process Behavior Charts help separate...