No, the conclusion that it is safer to drive in the snow is wrong. There are other factors influencing this statistic, such as there are more clear days than snowy days, and more people are probably on the road in clear weather than snowy weather.
A second question to ask: is the statistic given in such a way that it misrepresents the data collected? Does it make the data sound better or worse than it is? Suppose a survey was done to see how many children live below the poverty line. We hear it reported on the news: "80% of all children live above the poverty line." What about the 20% who live below it? The declaration of the 80% sounds good, while shifting the focus away from the millions of children who are poor. What about: "Women earn an average of 70 cents for every dollar earned by a man." This sounds unfair, but it does not tell you which jobs are being compared, how long men and women have worked at those jobs, and whether men work longer hours because they do not take as much responsibility for child care.
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To do this successfully you need to build a clear path of action by using tools if necessary. These tools would be facts, evidence and stories which you know they can relate to. Plus you always want to have their best interests at heart, in other words, you know what is good for them