To sketch a map of an unfamiliar city by looking at streetlight glimmers from an airplane window, you must guess the street outlines from scattered points. That's exactly how astrophysicists obtained the portrait of the shadow of a black hole — an object that itself emits no light.
But there were still too few points. Computer programs, trained on the physics of Einstein, filled in the gaps: from thousands of candidates, they selected an image consistent with the bending of light (gravitational lensing) and the behavior of the fiery disk. To rule out bias, the algorithms were slipped a fake portrait — a silly snowman. The programs reconstructed that too, confirming: the final image is no hallucination, but a collective guess where instruments, theory, and mathematical intuition converged.
To test the algorithms' fairness, they were fed a decoy signal: unaware of the trick, the programs reconstructed not only the hole but also a snowman.
This approach is reminiscent of 'Interstellar': there too, they had to combine probe data and theory to peer into the abyss.