Sound = Data in F1, And There Are No Secrets
March 21st, 2006 by owenamFormula 1 teams are using microphones to spy on their competition during races:
By recording the sounds of the engines … engineers can relate the speed at a given point on the circuit to the revolutions per minute of the engine. They can then calculate the gear ratios from the changes in noise level when gears are changed. After that they can calculate the speed of the car at every point on the circuit.
This is a good reminder that there is far, far more information in the universe than we are currently capable of processing. Objects, machines, animals, and people are constantly spewing data into the physical world. Most of this data travels over exceptionally noisy media: the atmosphere, the EM spectrum. If I may momentarily try on an economist’s hat:
The high noise levels of these media make it difficult, and therefore expensive, to extract specific information from them. In this case, two factors combined to make it economically feasible to extract engine performance data from sound recordings of the cars:
- The decreasing cost (in both time and money) of data collection (microphones, storage) and processing equipment (hardware & software), and
- The increasing value of the extracted data1 — a function of how high the monetary stakes are in F1.
The same thing (economically speaking) is currently happening in the oil industry:
- We’re getting better at extracting oil from tar sands.
- The price of oil is rising.
And voilà, the ecomony in Alberta is booming. Of course this is nothing new in economics. Production costs go down, demand goes up, and someone makes a killing selling widgets.
But applying this principle to information reminds us of what cryptographers have known for a while: there are no secrets. There’s only information whose ratio of extraction cost to value is high enough that no one will bother digging for it. And if we assume that extraction costs will always fall, then only worthless data can ever be safe.
1This related article gives some insight into how valuable this particular information can be.