The Archivist's Dilemma: On Marie Pugh and the Paper Computer
In a quiet corner of a climate-controlled archive sits a nondescript cardboard box. It doesn't contain ancient scrolls or a first folio. Instead, it holds a revolution recorded on the most fragile of mediums: paper. The box is the final resting place of the ‘paper computer’—hundreds of pages of handwritten worksheets, flowcharts, and tables meticulously filled out by a woman named Marie Pugh. She was a ‘computer’ at the U.S. Army’s Ballistic Research Laboratory in the 1940s, and her work, now yellowing and brittle, represents a profound challenge for digital preservationists. Her story isn't about silicon and electrons, but about the human pipeline that data once flowed through, and what happens when we try to archive the conduit itself.
Before ENIAC hummed to life, complex calculations, like the artillery firing tables desperately needed during World War II, were solved by hand. Teams of women, often mathematicians, would compute trajectories step-by-step, their pens scratching out the mathematics of destruction and defense. Marie Pugh was one of them. Her worksheets are a tangible map of a computational process. You can see where she paused, where she corrected an error with a firm strike-through, where the pressure of the pencil changed with her focus. This is data, but it's also a performance. The record isn't just the final numbers in a column; it's the entire physical act of their creation.
Today, we would log Marie's keystrokes. We'd capture her process automatically, creating a perfect digital surrogate of her work session. But her process was analog, and capturing its essence requires more than a high-resolution scan. A flat image of her worksheet preserves the 'what' but loses the 'how.' The texture of the paper, the indentation of the pencil, the faint smudge of a graphite-smeared thumb—these are metadata that speak to the human context of the data's creation. This is the archivist's dilemma when faced with pre-digital records: how do you preserve not just the information, but the intelligence of the system that produced it?
The Ghost in the Paper Machine
When we digitize Marie Pugh’s worksheets, we are effectively compiling a human-executed program. Each sheet is a subroutine, each pencil mark a variable assignment. The preservation task, then, becomes less about saving static documents and more about reverse-engineering a lost programming language—the unwritten rules and cognitive processes that Marie and her colleagues internalized. The real ‘source code’ of this analog computer existed not on paper, but in the minds of the women who performed the calculations.
This presents a challenge far beyond simple file format obsolescence. It's about contextual obsolescence. We can preserve the PDF of a scan indefinitely, but without understanding the lived reality of the human computer—the pressure, the collaborative checking, the sheer mental endurance—the data becomes a hollow shell. The record is incomplete. Preserving Marie Pugh’s work means we must also archive the story of Marie Pugh, the institutional knowledge of the Ballistic Research Lab, and the social fabric of scientific work in the 1940s. The data is inseparable from its generator.
In our rush to archive the sprawling, chaotic web, we risk forgetting that the most complex systems we seek to preserve were once, and in some ways still are, human systems. Marie Pugh’s paper computer is a stark reminder that data doesn't simply exist; it is made. And preserving the making is often a deeper, more humanistic puzzle than preserving the made. Her legacy asks us a difficult question: when the last human who understood the system is gone, what, truly, have we saved?
Notes & further reading
A few pages I came back to while writing this: