Also very common and hard to detect unless you are shown the raw data and can manipulate it, which is rare. Helps to do a risk analysis to understand the cost of a wrong model. Or involve the context owner early and often.
How to Lie with Data Posted by Karolis Urbonas In DSC
We expect that data scientists and analysts should be objective and base their conclusions on data. Now while the name of the job implies that “data” is the fundamental material that is used to do their jobs, it is not impossible to lie with it. Quite the opposite – the data scientist is affected by unconscious biases, peer pressure, urgency, and if that’s not enough – there are inherent risks in the process of data analysis and interpretation that lead to lying. It happens all the time while the intentions might be truly honest – though we all know the saying “The road to Hell is paved with good intentions”.
As every industry in every country is affected by data revolution we need to make sure we are aware of the dangerous mechanisms that can affect the output of any data project..... "