Science was born in the shadows.
Galileo grinding lenses in a dim room. Hooke sketching organisms by candlelight. Newton scribbling notes in plague quarantine. Darwin scribbling notes in his quarters while battling sea sickness.
These weren’t polished institutional figures publishing to journals. They were outsiders, driven by curiosity, stepping into the unknown with nothing but courage and crude tools.
Science began in dark labs.
Over centuries, it migrated into institutions. Peer review, grants, and journals brought rigor. But also slowness, safety, and caution. The culture shifted from exploration to conclusion. Null results were hidden. Paradoxes were ignored. Anomalies, the very things that drive paradigm shifts, were pushed into dusty corners where no one looks. The courage to explore big ideas devolved to siloed incrementalism.
Thomas Kuhn said that science advances non-linearly when paradoxes and anomalies pile up. But we have fewer people willing to explore these today. Null results, the very experiments where these paradoxes live, don’t get any air time.
That is where Dark Lab begins.
The Premise
Dark Lab is not here to produce polished conclusions. It exists to explore.
Each dispatch starts with a paradox or a null result, the kinds of findings most researchers set aside as noise. Using modern tools, those nulls become raw material for new hypotheses. Each dispatch ends not with answers, but with falsifiable models. Ideas strong enough to be broken, but clear enough to test.
This is a hypothesis generator for both researchers and N=1 experimenters. A place where exploration is the purpose, not a side effect.
Where the original scientific ethos of courageously exploring can continue without the fear of being wrong.
The Method
The Dark Lab workflow is simple:
Find a paradox or null result.
Use AI to surface forgotten studies and expand hypothesis space.
Reorganize the noise into a coherent, mechanistic model.
Publish the reasoning chain, not just the polished endpoint.
Invite critique through open peer review (comments).
Revise, refine, and continue the exploration.
The literature is the lab.
Nulls and paradoxes are the experiments.
Dark Lab reorganizes them into hypotheses and falsifiable models.
Why This Is Advantageous
No waiting for journals. Hypotheses can be shared, critiqued, and refined at internet speed.
No silos. Dark Lab traverses lipids, microbiome, endocrinology, anthropology, because physiology is one system.
AI as paradigm accelerator. Not hype, but a tool to compress months of literature review into hours, surfacing the dusty experiments everyone else forgets.
Radical transparency. Instead of hiding the messy reasoning process, Dark Lab publishes it openly. The logic maps, the flaws, the revisions.
This is science as it was at the beginning: fast, alive, and provisional. But amplified with modern tools.
Why Dark Lab
The name honors the origins of science. It began in literal dark labs. Small rooms, candlelight, brave outsiders chasing anomalies. Today, the “dark” is the literature itself: dusty experiments, null trials, unexplained paradoxes.
Dark Lab is where those anomalies are pulled back into the light.
But the metaphor goes further. A good scientist is like an explorer with a lantern, stepping into a cavern. It takes bravery to go in, and the willingness to be wrong. That is what Dark Lab stands for: not authority, but courage.
The Invitation
I’m not starting Dark Lab because I have the answers. I’m starting it because I want to explore the questions modern science has left in the shadows.
This is less a lecture than an expedition. I’ll bring a lantern. You’re welcome to walk with me into the cavern. We’ll find the path together.
The purpose isn’t to conclude. The purpose is to explore.
-Greg Mushen August 2025