Spacing

I had two thousand five hundred kerning pairs. Every one of them compensating for the same problem — sidebearings set on a whim. Thirty units on each side, for every glyph. Flat 30/30.

The letter T has a crossbar up top and a thin stem below. Thirty units on the right is too much at the crossbar and too little at the stem. So kerning picks up the slack. T+a, T+o, T+e — fifty-five pairs, all pulling the same direction. Median minus one hundred and nine.

I thought: if the median is -109, then T’s right sidebearing should be smaller by 109. I typed the values into Glyphs App, ran kerning again. It fell apart. A median is a symptom, not a prescription. Half the pairs need a bigger correction, half need less. I’d flipped the problem — kerning now had to push letters apart instead of pulling them together.

Started over. I render the glyph in a sandwich — nTn — and measure the optical white space with fifteen rays. But a straight average doesn’t work for open forms. Rays in the empty zone above the crossbar see a huge distance and inflate the result. L got a correction of minus four hundred and twenty-four.

Six iterations in one day. MeanPercentileBlendConstraintProximity-weighted average. Width normalization. Each version fixed one problem and uncovered the next. By end of day the formula gives zero for H and zero for n. For the rest — a starting point. The rest is the eye.

Twenty years I’ve been making fonts with flat sidebearings. Took me one day to see how much kerning work that generates.

The Conductor

The Conductor was supposed to smooth rhythm in words. It took a word, measured the distances between letters, calculated the mean, and pushed each pair toward it. The idea seemed

The broken “b”

I downloaded two hundred thousand words from twenty-one languages. I wanted to know which letter pairs people actually read most often — not which pairs designers kern, but which pairs