The idea that kids in America created an algorithm to triangulate enemy positions from the fan noise of their PC while gaming is only partially correct. Yes, they might have used sound to approximate location, but that alone isn't enough for accurate triangulation. To truly pinpoint someone's position based on audio, especially in forensic cases, you need more than just one variable sound like a fan. You need a consistent and stable background noise—something that acts like a reference point. In real forensic audio work, they often rely on ambient sounds that are always present, such as the hum of a power station or a substation buzzing in the background. These noises have a predictable, steady frequency, and it's that consistency that allows investigators to make accurate calculations.
Without this sort of stable background, relying only on something like fan noise would be unreliable. The fan noise might vary based on multiple factors—speed, environment, or even whether the fan is spinning differently due to gameplay intensity. It doesn't give a clear, constant sound signature that you can base a triangulation off of. Forensic experts, on the other hand, use ambient sounds like electrical hums from infrastructure because they are always present and don't change much over time. This kind of stable noise gives them a base to compare other sounds against, making it easier to figure out exactly where someone might be located. So the truth is, for sound triangulation to work effectively, you need more than just a random sound like a fan. You need a steady background noise, like a power station hum, that acts as a reference. That's the key element that’s often overlooked when people talk about this type of audio location tracking.
And the algorithm can be done by a North Korean kid in basement. Its not that hard. But the background noise database for cross-referencing to triangulate the position needs gormint's vast resources and manpower.
