There is a general sneering at statements based on anecdotal evidence. This is wrong because although there are not sociological laws in the sense of those in physics or chemistry, there are indubitably sociological phenomena which show that the behaviour of humans is governed by more than their individual biology and experience. Opinion polls work on this assumption. Where the question asked is unambiguous and at least reasonably uncontentious, the poll of a thousand or so people is, when placed in the context of the superficially atomistic nature of human behaviour, remarkably close to what the nation thinks. Polls of voting intention in general elections are generally accurate in terms of the overall percentage vote for each party if not in the constituency results.
Perhaps the neatest example of such a law in action is the voting at general elections. The voting patterns in a general election are generally uniform. If the swing from one party to another is 5% in the vast majority of constituencies it will be close to that. Exceptionally some constituencies will return a different figure but invariably this
can be traced to factors such as a good or bad constituency MP, whether the MP is a minister and so on.
Of course, polls and market research are based on supposedly scientifically selected samples which remove bias and produce an answer which either applies to the population in general or whatever group is being polled.
When we collect anecdotal evidence we automatically select from those within our social group which generally means people like us in terms of class and education with age and sex also strong influences . That is no different in principle to the pollster or market researcher polling , say, the members of a political party or middleclass women on childcare. All we need to know about any anecdotal evidence is the likely group it has been culled from and then put it into context.
Some evidence arguably does not even have to be put into social context. That is evidence which consists of factual reports of actual behaviour. Take the case of a riot. Those who witness it will by and large tell the same general story regardless of social status.
In one respect anecdotal evidence may be much closer to the truth than that gleaned by pollster. The more contentious a subject the less likely a person is to tell the truth to pollsters. They are much more likely to tell it in private conversation with friends, although there is peer pressure to conform to a particular view mitigate this advantage.
As to the objection that anecdotal evidence will be biased, of course it will be. The real question is why should we believe it is generally more biased than that collected by pollsters? Pollsters manipulate results by their questions and contentious questions often render poll results highly dubious for the reason given above. Moreover, we know that although a sample of 1,000 is generally reckoned to be the size of sample beyond which little greater accuracy will be achieved, it is also true that much smaller samples provide answers which are still pretty accurate. The average person assessing his or her view of an important matter will probably have taken in several dozens of individual views through face to face social contact, the internet and the media before arriving at a judgement. It is also true that the individual will bring all the normal human abilities to assess the views of others before judgement is made, something polling does not do. That may actually be a more accurate way of assessing the general sociological mood of a population than scientific polling. Finally, the sociological phenomenon of general change in population such as voting
behaviour will of itself ensure a high degree of truth in the reporting of opinions because opinions will widely change through whatever sociological law governs such things.
To those still prone to sneer let them reflect on this: human beings actually run their day to day lives simply by basing their behaviour on the empirical evidence of what others do and say, that is, anecdotal evidence.
Can anecdotal evidence be quantified or evaluated objectively? Problematic to say the least, but perhaps the Rev Thomas Bayes (1703-61) can come to our rescue. A dictionary of philosophy (Pan) states that Bayes developed a theorem “giving an expression for the probability of an hypothesis, h, if some evidence, e, is added to antecedent knowledge, a. The theorem states that the probability of h relative to e and a is equal to the probability of h relative to a multiplied by the probability of e relative to h and a, and divided by the probability of e relative to a. This means that evidence improbable antecedently, but likely to obtain if the hypothesis is true, raises the probability of a hypothesis most. “ The problem of assigning probabilities to antecedent evidence exists, but in principle the theorem appears to be able to
deal with the type of information described as anecdotal. It is worth adding that Bayes theorem is widely used in science, engineering, computer modelling and robotics, so it has undeniable practical value.