Imaginary interview with Evelyn Boyd Granville
by Charactorium · Evelyn Boyd Granville (1924 — 2023) · Sciences · Technology · 5 min read
Los Angeles, an afternoon in the late 1980s. In a university office where the blackboard still bears the traces of a hastily erased demonstration, Evelyn Boyd Granville receives a visitor informally, a cup of coffee within reach. Her voice is calm, precise—the voice of a woman who has spent her life double-checking her calculations.
—Where does your story begin?
It begins in Washington, in 1924, in a city split in two without anyone needing to say it out loud. We knew which schools were ours, which benches, which doors. What were called the Jim Crow laws were not lines in a book for me; they were the geography of my days. But my family had a stubborn conviction: that the mind, itself, knew no barrier drawn in chalk. I was taught very early that numbers never asked the color of your hands before letting themselves be solved. Perhaps it was there, in that contradiction between a city that closed doors to me and a multiplication table that closed none, that everything took root.
Numbers never asked the color of your hands before letting themselves be solved.
—What made your high school stand out in that divided city?
Dunbar High School was reserved for Black students, yet we had teachers who, elsewhere, would have held university chairs—PhDs that no white faculty wanted to hire. They placed on us all the ambition that was denied to them. Later, such places would be called historically Black colleges and universities when it came to higher education; we already lived that intensity in high school. I graduated as valedictorian in 1941, not despite those walls, but because of what those walls contained in terms of rigor. It is a paradox I have never forgotten: they set us apart, and apart they gave us the best.
—Tell us what your doctorate, obtained at Yale in 1949, represented.
When I defended at Yale in 1949, my dissertation was on Laguerre series in the complex domain—functional analysis, a region of mathematics as far from everyday life as a distant star. My advisor, Einar Hille, cared only about the rigor of my proof, and that was all I asked. That year, two African American women crossed that threshold, Marjorie Lee Browne and I. I did not experience it at the time as a historic event; I simply had a dissertation to finish. It was only later, looking back, that I measured how narrow that threshold had been—and how few had crossed it before us.
I simply had a dissertation to finish; history, I saw afterward.
—Before space, there was teaching at Fisk. What do you remember?
In the early 1950s, I taught mathematics at Fisk University in Nashville. I had two students who later became doctors themselves. I know no greater pride. People think a mathematician is measured by his results, his calculated trajectories; but I believe he is also measured by what he transmits in front of a blackboard, chalk in hand, when something obscure suddenly becomes clear in another's eyes. Teaching never seemed inferior to research. Both are about making visible what was not yet visible.
—How did you go from the classroom to rockets?
In 1956, IBM recruited me, and I found myself calculating trajectories for the Vanguard program, then for Mercury and Apollo. Picture the scene: an IBM 700-series computer that occupied an entire room, humming, and in front of it stacks of punched cards where each hole was an instruction. A single program could be a whole armful of cards that you must not drop. We mathematicians remained the guarantors; the machine calculated fast, but it did not know if its answer made sense. I knew. I set up my equations before entrusting it with any numbers.
The machine calculated fast, but it did not know if its answer made sense.
—What was it like to calculate the path of an object launched into the sky?
An orbital trajectory is a path that a vehicle will follow around the Earth without anyone at the wheel—everything is decided in advance, by numbers. I filled trajectory tables, columns of numbers giving at each instant the position and velocity of a capsule. A decimal point error, and the vehicle would miss the sky it was promised. When Sputnik passed over our heads in 1957, the whole country understood the urgency; we, in our computing centers, were already living it. There was something dizzying in thinking that a line from my notebook would become, months later, the route of a real object in the void.
A decimal point error, and the vehicle would miss the sky it was promised.
—For a long time, people claimed that women were not good at math. How did you respond?
I simply smiled. What else can you say to an idea that your entire life disproves? They told me women could not excel in this discipline, and behind me I had a doctorate from Yale and trajectories calculated for NASA. I did not need to argue; I only needed to tell my own story. In a text I wrote in the late 1980s, My Life as a Mathematician, I wanted to set that existence down in black and white, not to boast, but because a young girl somewhere might need to read that it could be done. The best refutation of a prejudice is a life that ignores it.
The best refutation of a prejudice is a life that ignores it.
—Why did you write a textbook for teachers in 1975?
In 1975, I co-wrote a book, Theory and Application of Mathematics for Teachers. The idea was not to train researchers, but those who train others—the teachers. Because a child who grows to hate mathematics has almost always encountered, one day, an adult who did not know how to make it come alive. I wanted to give those teachers the means to turn a subject seen as cold into something you manipulate, understand, and love. It was, in a way, extending the blackboard at Fisk to the scale of a country. You do not calculate trajectories your whole life; but you can, through a textbook, put tools in many hands.
—You witnessed the birth of computing. What did you think of those machines?
Those 1950s computers were both prodigious and rudimentary. Prodigious because they did in one night what would have taken me weeks with my slide rule, that sliding instrument I always kept at hand. Rudimentary because they understood nothing: you had to dictate everything to them, hole by hole, on punched cards. The word computer, by the way, originally meant a person—someone who calculated by hand. Then the machine inherited the name. I lived through that shift from the inside, between chalk and circuit. I never believed the machine would replace the mathematician; it executes, but it is still the human who decides the question.
The machine executes, but it is still the human who decides the question.
—If you imagined being read a century from now, what would you want to convey?
If I were to be read in a hundred years, I would want a young girl—no matter where she comes from, no matter what she has been told about her abilities—to close the book thinking: so it was possible. Not because I was exceptional, but because nothing in a mind depends on the color of skin or the era of the Jim Crow laws. I kept learning well into old age, long after retirement, convinced that one never stops understanding new things. Perhaps that is my only message: that intelligence has no expiration date, and that the world is wrong every time it closes a door on a mind that wanted to enter.
Intelligence has no expiration date.
This imaginary interview was generated by artificial intelligence from sources documented in Evelyn Boyd Granville's profile. It dramatises what the figure might have said based on what we know about them, but does not constitute attested historical testimony. For primary sources and factual documentation, refer to the full profile.