Some of the reasons for the above remark “there are three lies-lie, damn lie and statistics”,may\xa0be enumerated as follows :\tFigures are innocent and believable, and the facts based on them are psychologically more convincing. But it is a pity that figures do not have the label of quality on their face.\xa0\tArguments are put forward to establish certain results which are not true by making use of inaccurate figures or by using incomplete data, thus distorting the truth.\xa0\tThough accurate, the figures might be moulded and manipulated by dishonest and unscrupulous persons to conceal the truth and present a working and distorted picture of the facts to the public for personal and selfish motives.Hence, if Statistics and its tools are misused, the fault does not lie with the science of Statistics. Rather, it is the people who misuse it, are to be blamed.
Statistics may be considered a lie due to following reasons:(i) Different kinds of Statistics are obtained in respect to a given problem.(ii) Statistics can be altered to match the predetermined conclusions.(iii) Authentic Statistics can also be presented in such a manner as to confuse the reader.(iv) When Statistics are collected in partial manner, the results are generally wrong. Consequently, people lose faith in them.In the words of Yule and Kendall, “Statistical methods sare most dangerous told in the hands of an inexpert.”

Statistics refers to the aggregates or averages that relate to an enquiry or some relationship. Such aggregates facilitate the presentation of data in a simplified manner. Besides presentation, statistics also enable a reader to make comparison among two or more variables. On the contrary to this, statistics also involve some limitations which often lead to the situation of distrust on statistics and its methods. Such limitations evoked ‘Mark Twain’ of U.S. to introduce a phrase called ‘Lies, Damned lies and Statistics’. This phrase was introduced to highlight the shortcomings (limitations) associated with statistics.The following are the limitations which resulted in mark of statistics as a lie:\tThe users of the statistics usually tend to manipulate the data to support their already drawn conclusions, which leads to the situation of distrust and the process of data manipulation.\tThe statistical figures are made so convincing that people feel bound to trust on such figures.\tThe readers are often mislead by the way of presentation of data (even if correct). For example, if per capita income of the country increases then it represents the readers to be convinced that the income of all the people in the economy increases. However, if the distribution of income in the economy is inequitable then the income of only a section increases while the other section of population lives in poverty.

Statistics refers to the aggregates or averages that relate to an enquiry or some relationship. Such aggregates facilitate the presentation of data in a simplified manner. Besides presentation, statistics also enable a reader to make comparison among two or more variables. On the contrary to this, statistics also involve some limitations which often lead to the situation of distrust on statistics and its methods. Such limitations evoked ‘Mark Twain’ of U.S. to introduce a phrase called ‘Lies, Damned lies and Statistics’. This phrase was introduced to highlight the shortcomings (limitations) associated with statistics.The following are the limitations which resulted in mark of statistics as a lie:\tThe users of the statistics usually tend to manipulate the data to support their already drawn conclusions, which leads to the situation of distrust and the process of data manipulation.\tThe statistical figures are made so convincing that people feel bound to trust on such figures.\tThe readers are often mislead by the way of presentation of data (even if correct). For example, if per capita income of the country increases then it represents the readers to be convinced that the income of all the people in the economy increases. However, if the distribution of income in the economy is inequitable then the income of only a section increases while the other section of population lives in poverty.