> It has nothing to do with graphs, graphs are are just visual tools.
To make a graph, one has to make decisions, these decisions can be legitimate or they can be biased. Biased decisions lead to misleading graphs.
The same goes for other types of content such as news articles, product reviews, war photos, etc.
Edit, to illustrate better: the author of the graph chose to overlap data on a logscale (transistor count) with data on a linear scale (life expectancy). The resulting graph shows two similar curves, that suggests that the two are strongly correlated. That's what I call a biased decision.
To make a graph, one has to make decisions, these decisions can be legitimate or they can be biased. Biased decisions lead to misleading graphs.
The same goes for other types of content such as news articles, product reviews, war photos, etc.
Edit, to illustrate better: the author of the graph chose to overlap data on a logscale (transistor count) with data on a linear scale (life expectancy). The resulting graph shows two similar curves, that suggests that the two are strongly correlated. That's what I call a biased decision.