All sensor data, the closer you get to the analog side of things, is bullshit. It's just about smoothing over the bullshit enough to make the tolerances workable for real world applications.
We call this bullshit smoothing "calibration". If you're doing work on sensor data and don't have every calibration parameter, whether from configuration or magic factory numbers and statistical tolerances, someone, somewhere is pulling the wool over the eyes of the software guy downstream that works with the final data.
Ever looked at weather data from two separate apps and have values vary by multiple degrees? Two different pipeline just sprinkled on their own versions of interpretations on top of raw sewage data.
We call this bullshit smoothing "calibration". If you're doing work on sensor data and don't have every calibration parameter, whether from configuration or magic factory numbers and statistical tolerances, someone, somewhere is pulling the wool over the eyes of the software guy downstream that works with the final data.
Ever looked at weather data from two separate apps and have values vary by multiple degrees? Two different pipeline just sprinkled on their own versions of interpretations on top of raw sewage data.