In "Politicians Manipulating Statistics," Michael Billig and Cristina Marinho examine how figures in power misrepresent statistics for personal gain. The authors contend that statistics should be seen in context, as they convey deeper meanings that can be twisted by those in authority. The book particularly highlights the case of Donald Trump, detailing methods of statistical manipulation that have significant implications for democracy. Beyond exposing the problem, the authors call for greater responsibility in how statistics are conveyed by politicians and media alike to empower informed public discourse.
The authors argue that politicians often manipulate statistics to serve their purposes, steering public perception and policy outcomes without accountability.
Statistics are much more than just numbers; they are contextually rich indicators that hold significant implications for public understanding.
The book emphasizes the necessity for politicians and media to interpret statistics accurately to prevent manipulation and restore public trust.
Political figures like Donald Trump exemplify the issue of statistical manipulation, showcasing how such actions can mislead the public and affect democratic processes.
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