Pour Over Knowledge Base
πŸ”¬Science & Extraction

The Coffee Brewing Control Chart

2 min readΒ·454 words
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The Coffee Brewing Control Chart is the classic map of brewing space: a graph with strength (TDS) on the vertical axis and extraction yield (EY%) on the horizontal axis. Any brew you make plots as a single dot somewhere on it. A central rectangle marks the historically "ideal" zone, and the regions around it are labelled with how brews drift wrong β€” too sour, too bitter, too strong, too weak. It is the single most reproduced diagram in coffee science. πŸ“ˆ

#How to Read It

RegionEYTDSVerdict
Bottom-leftLowLowUnder-developed & weak
Bottom-rightHighLowBitter but thin
Top-leftLowHighSour & strong
Top-rightHighHighBitter & strong
Center box~18–22%~1.15–1.45%The classic "ideal"

The two axes move semi-independently: slide left/right by changing grind, temperature, or time (these change extraction); slide up/down by changing the brew ratio (this changes strength). Diagonal lines on the chart represent constant brew ratios β€” a handy way to see that grinding finer pushes you up and to the right at once.

#Origins πŸ•°οΈ

The chart descends from work by Dr. Ernest Earl Lockhart at MIT in the 1950s, funded by the Coffee Brewing Institute. Lockhart surveyed American drinkers, found a preferred extraction band around 18–22% and a strength near 1.15–1.35%, and the result became the SCA "Golden Cup" standard. The familiar grid form is often called the Brewing Control Chart or, in newer interactive versions, the "coffee compass."

#The Critique ⚠️

β–²The "ideal box" is dated and culturally narrow

Lockhart's data reflected 1950s American palates and the dark, robusta-heavy roasts of the era. Modern light, specialty roasts frequently taste sweetest at 22–24% extraction β€” well outside the original box. Treat the chart as a coordinate system, not a verdict.

A second limitation: the chart plots a single average EY. It cannot see uneven extraction, so a brew that lands dead-center can still taste flawed if some grounds over-extracted while others under-extracted. Average is not the same as good.

✦Use it as a logbook, not a law

Plot your favourite cups over time. The cluster you love is your personal target β€” which may sit well outside the printed rectangle.

#Continue Reading