D. Huff's famous book "How to Lie with Statistics", 1954, describes seven common tactics to misleading with statistics, called ‘statisticulation’:
What was true in 1954 is just as true today.
How is the data collected?
How selective is the data?
What is included in the data?
In what context is the data presented?
How is the data used?
Is the data being used to support a particular opinion?
Who publishes the data?
What is the political angle?
Who is to credit for the data?
Best, J. (2004). More Damned Lies and Statistics: How Numbers Confuse Public Issues. University of California Press.
Best, J. (2012). Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists. University of California Press.
Best, J. (2013). Stat-Spotting: A Field Guide to Identifying Dubious Data. University of California Press.
Herzog, M., Francis, G., & Clarke, A. (2019). Understanding Statistics and Experimental Design: How to Not Lie with Statistics (1st ed. 2019. ed., Learning Materials in Biosciences). Springer.
Zuberi, T. (2001). Thicker than Blood: How Racial Statistics Lie. University of Minnesota Press.