Lying with statistics has been widely used by people due to different reasons. It can be for personal gains or either for business growth. In the chapter concerning lying with statistics, it applies the use of semi-attached figures. The demonstrator pretends to be conversant with the topic and stands with half-baked data. For instance, in cold curing, someone can publish laboratory reports on how a pinch of the medicine can kill 31,100 germs in a test tube for a given number of seconds. When this data is backed up by a doctored picture verifying the facts, it becomes the truth automatically. Another example that is popular is by the use of opinion polls to change people’s perspective on a particular issue affecting them. This can be demonstrated by the use of minority people in the USA, for instance, Negroes getting same job opportunities as white people. False statistics can be placed as two-thirds of a specific population do think the same from opinion polls. As long as a lie is supported by a figure, percentage or even a fraction it can be termed as ‘true’.
In my own experience, I have come across different brands or people lying with statistics to gain favours and profit in their endeavours. For instance, through various advertisements made by Dettol soap that it kills 99.9% germs while using it. They also have a picture of a doctor on the label cementing the data. This is allegedly termed as true, but it is not a proven fact. On other advertisements, some individuals for instance in the medical world, place pictures of how their medicine will change the situation of their customers before and after their intervention. For example, when an obese person wants to lose weight he is shown a picture of how this case would be an example of an alleged photograph proving the previous persons had a credible assistance.