“It is also well known from a large number of psych studies that people are really bad at integrating base rates into their thinking. Maybe this is why they are so rarely featured in the news? My hope is that by pairing each headline with a bit of base rate information, we can become better informed and address both negativity and get a better sense for trends over time.”
The author uses sparklines showing historical data next to headlines to give context. One example is showing number of avalanche deaths per year (total, in controlled terrain, and in uncontrolled terrain) next to a headline about 29 people dying in an avalanche. Another shows how diverse cabinets were (% female, % non white, % non Christian) in 1997 and 2017 for a headline about the first aboriginal Australian cabinet member.
I’m not a fan of how the graphs are indecipherable without hovering but I really like this idea.
I think the the project of Wikidata is quite important for having this kind of data within easy each.
“It is also well known from a large number of psych studies that people are really bad at integrating base rates into their thinking. Maybe this is why they are so rarely featured in the news? My hope is that by pairing each headline with a bit of base rate information, we can become better informed and address both negativity and get a better sense for trends over time.”
The author uses sparklines showing historical data next to headlines to give context. One example is showing number of avalanche deaths per year (total, in controlled terrain, and in uncontrolled terrain) next to a headline about 29 people dying in an avalanche. Another shows how diverse cabinets were (% female, % non white, % non Christian) in 1997 and 2017 for a headline about the first aboriginal Australian cabinet member.
I’m not a fan of how the graphs are indecipherable without hovering but I really like this idea.