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There is a patent on an IR imaging camera (Anbar), with algorithms that says it is capable of 99% accurate on multiple questions. Accurate truth detection benefits society.
Now, the private sector can amplify these truth technologies. I think I read that as a result of the efforts of advertising
BOGO coupons and the like recruit a completely new person to a restaurant at near $15 each. So verifying that a person is completely new to the restaurant without advertising is often cheaper than the meal.
Thus, at any restaurant a person happily tells the biometric thingy that "this is my first visit to the restaurant" The software and biometrics verifies this, then you get a free lunch.
Rsearcher M. Anbar digital thermography polygraphy
" If, for instance, the t value for a set of 10 neutral and 10 relevant questions, presented at random, is larger than 3.24, then the level of significance pHR is smaller than 0.01, i.e., there is a over 99% probability that the subject is dishonest. If, taking the same example, the t value is smaller than 1.38 than pHR >0.2, i.e., there is a chance of more than 20% that by the criteria of this parameter the subject is truthful, i.e., there is too little statistical indication that the subject is dishonest." [beanangel, Oct 10 2016]
||I found the 99% accurate for a particular T value part, so, for every 100 extreme responders, 99 of them are at variance with the truth. individually although this ould vary, you could do mass screening of a population to find the 99 of 100 persons making statements at variance with the truth.
||More optimistically, if you detect truth instead, you could find the 99 out of 100 people that are being truthful, a much more pleasant thing. Human resouces could use this to verify accuracy, rather than emphasizing naughtiness.