My protagonist, Nick Bower, learned the hard way that not every image tells the full story. Some images are framed to guide the eye. Some are cropped to remove inconvenient truths. And others—far more dangerous—are engineered to appear complete while hiding something essential just outside the frame.
That idea became one of the core pillars of fStop.
We live in a world where data is treated as objective truth. Numbers, logs, reports—they carry an inherent authority. But the reality is far more complicated. Data, like photography, is only as honest as the person controlling the lens. What gets recorded, what gets ignored, and how it’s presented can dramatically alter perception.
In writing fStop, I kept returning to a simple question: what happens when the systems we trust most are designed not to reveal the truth, but to obscure it?
Nick begins the story believing in structure—in clean datasets, in logical conclusions, in the idea that if you analyze something long enough, it will eventually make sense. But as he digs deeper, he realizes that the “noise” he once filtered out is where the real story lives. The anomalies. The inconsistencies. The fragments that don’t quite fit.
That’s where truth hides.
The concept of “data shadows” came from that realization. Just as an object casts a shadow when exposed to light, information casts its own distortions when it’s processed, filtered, and manipulated. What you see is never the full picture—it’s only the illuminated portion.
The rest remains just out of reach.
And sometimes, that shadow is far more important than the image itself.