Biscuits Lab321 recipes

Biscuits Lab

What moves together in 321 biscuit recipes

When a recipe uses more of one ingredient, does it tend to use more or less of another? For every pair of the 5 ingredient ratios (grams per 100 g of flour), this page ranks all 321 recipes on each and measures how closely the two rankings agree: Spearman's rho, from −1 (the more of one, always the less of the other) through 0 (unrelated) to 1 (always rise together).

10 pairs in all: 1 rises together at rho 0.20 or more, none move in opposite directions at −0.20 or less, and 5 are close to unrelated (between −0.10 and 0.10). This describes recipes as they are published; it does not say what changing one amount would do to a bake.

Every pair at once

Read a cell by its row and column. Caramel cells rise together, slate cells move in opposite directions, and the deeper the color the stronger the relationship. Pale cells with grey numbers are not distinguishable from no relationship with 321 recipes (p of 0.05 or more).

Fat and buttermilk: rho −0.15, very weak−0.15Fat and leavening: rho −0.17, very weak−0.17Buttermilk and leavening: rho 0.28, weak0.28Fat and sugar: rho 0.09, negligible, not distinguishable from zero0.09Buttermilk and sugar: rho −0.09, negligible, not distinguishable from zero−0.09Leavening and sugar: rho −0.10, very weak, not distinguishable from zero−0.10Fat and salt: rho 0.14, very weak0.14Buttermilk and salt: rho 0.06, negligible, not distinguishable from zero0.06Leavening and salt: rho 0.10, negligible, not distinguishable from zero0.10Sugar and salt: rho 0.03, negligible, not distinguishable from zero0.03ButtermilkLeaveningSugarSaltFatButtermilkLeaveningSugar
All 10 pairs as a table
Spearman correlation for every pair of ratios, strongest first
PairRhoStrengthp
Buttermilk and leavening0.28weakunder 0.001
Fat and leavening−0.17very weak0.002
Fat and buttermilk−0.15very weak0.005
Fat and salt0.14very weak0.015
Leavening and sugar−0.10very weak0.072
Leavening and salt0.10negligible0.084
Fat and sugar0.09negligible0.11
Buttermilk and sugar−0.09negligible0.12
Buttermilk and salt0.06negligible0.32
Sugar and salt0.03negligible0.63

The one clear relationship

The strongest pairs that reach rho 0.20 either way with a p-value under 0.01. Each dot is a recipe; the line joins the median of the second ingredient within each fifth of recipes ranked by the first.

  1. Recipes with more buttermilk tend to use more leavening

    rho 0.28 across 321 recipes · weak · p under 0.001

    The third of recipes with the most buttermilk use a median of 5.5% leavening; the third with the least buttermilk, 4.9%.

    0%50%100%150%200%0%5%10%15%Buttermilk, % of flour →↑ Leavening, % of flour

What moves on its own

  • Sugar. Nearly independent of the rest: its strongest correlation with any other ingredient is −0.10, with leavening. A recipe's amount of sugar says almost nothing about its other amounts.
  • Salt. Nearly independent of the rest: its strongest correlation with any other ingredient is 0.14, with fat. A recipe's amount of salt says almost nothing about its other amounts.

The pairs closest to unrelated: sugar and salt (0.03), buttermilk and salt (0.06), buttermilk and sugar (−0.09) and fat and sugar (0.09).

How the numbers are made

Spearman's rho is the ordinary correlation of the two rankings, so it measures whether one amount tends to rise with the other, in a straight line or not, and a single extreme recipe moves it little. A recipe with none of an ingredient ranks lowest on it. An ingredient fewer than 12 recipes use is left out of the matrix.

The p-value is the chance of a rho at least this far from zero if the two amounts were unrelated. With 10 pairs tested, about 0.5 would pass 0.05 by chance alone even if no ingredient were related to another, which is why the relationships explained above must pass 0.01 and reach 0.20.

Every number is divided by the same flour weight, so a recipe light on flour reads high on every ingredient at once. That nudges every correlation toward positive: part of a positive rho can be flour, not the two ingredients. A negative one holds despite it.

A correlation describes the recipes as published. “Recipes with more fat tend to use…” is a statement about what bakers write down together, not a rule that adding one forces the other. Plot any two ingredients to see the recipes behind a number.