Another, and probably more likely, example of noise is whilst an ad break is occurring on television, the reception of the ad has been interrupted by your mobile phone, meaning you do not fully and clearly receive and decode the information the advertisement is trying to deliver.
Russel and Lane (1996) define clutter as “"non-program material carried during or between shows including commercials, public service announcements, and program promotional spots”[2] (as cited in Wu & Newell, 2003).
The relationship between internal noise and the decoding of messages as a receiver does not yet have evidence through market research.
People trade speculatively because they disagree about the future, making different predictions about the fate of companies and commodity prices, among other economic variables.
Much of the daily price fluctuation is due to random change rather than meaningful trends, creating the problem of discerning real information from noise.
In real life, however, trades occur as a kind of bet on what is noise and what is information; generally the more skillful, and technologically advanced, "gambler" wins.
Thus, methods of parsing noise and information from a signal are becoming increasingly important in the market-place, especially as strategies used by high-tech alternative investment firms, such as some hedge funds.
Critics argue that this disobeys the law of large numbers; with so many entrepreneurs trying, the aggregate success rate will be constant.
This is how noise manifests in econometrics (as well as poor interpretation of regressions, such as assuming correlation means causation).