I really love this, excellent visualizations and explanations of each. I would be thrilled if you did a similar set of visualizations that look at “risk factors“ for mortality. I love using good visualizations for risk factors to help people understand exactly how they should prioritize their efforts not to die, at various ages.
I mean I know that a common measure of impact for charity is Quality-adjusted Life Years but I'm not sure how it's computed
Probably based on lifespan and disability rate at each age yeah
I agree that it's also flawed, I don't want to say that one death should have the same weight at all ages but I don't feel like my judgment depends on "years lost"
I guess it depends on the distress of the person's friends and relatives but good luck measuring that
Am I correct in my understanding that visualization #3 "What are the risks of dying from different causes at each age?" is essentially visualization #4 "What are people dying from at different ages?" but with a "still living" category added?
On the "stacked" graphs, with so many different color shades in use, rather than list the causes *alphabetically* on the side, list them in the order in which they appear on the wide side of the graph--cancer, cardio, digestive, etc. It would be easier then to make out exactly which cause and color go together on the graph.
Ah, it might not be obvious, but they are already in the order in which they appear (from top to bottom), as well as in alphabetical order. Some of causes are very thin so they're not easily visible on the stacked rates graph or the numbers graph.
It's interesting to consider the messaging from "the experts" in light of this thorough analysis. I wonder if they are reviewing the tape so they perform better next time... I am not optimistic.
I really love this, excellent visualizations and explanations of each. I would be thrilled if you did a similar set of visualizations that look at “risk factors“ for mortality. I love using good visualizations for risk factors to help people understand exactly how they should prioritize their efforts not to die, at various ages.
I would love to see this as well!
Very nice graphs
I wonder how one could calculate the "number of life years lost" due to a particular cause of death, if it's even a coherent concept
I feel like it would match the idea of the "seriousness" or "importance" of a particular danger relatively well
Ohhh interesting how would you estimate this? Based on average life span? I feel like that metric in itself is quite flawed. Or something else?
I mean I know that a common measure of impact for charity is Quality-adjusted Life Years but I'm not sure how it's computed
Probably based on lifespan and disability rate at each age yeah
I agree that it's also flawed, I don't want to say that one death should have the same weight at all ages but I don't feel like my judgment depends on "years lost"
I guess it depends on the distress of the person's friends and relatives but good luck measuring that
I really liked the flow of this article. Very intuitive. Thank you for sharing.
Am I correct in my understanding that visualization #3 "What are the risks of dying from different causes at each age?" is essentially visualization #4 "What are people dying from at different ages?" but with a "still living" category added?
On the "stacked" graphs, with so many different color shades in use, rather than list the causes *alphabetically* on the side, list them in the order in which they appear on the wide side of the graph--cancer, cardio, digestive, etc. It would be easier then to make out exactly which cause and color go together on the graph.
Ah, it might not be obvious, but they are already in the order in which they appear (from top to bottom), as well as in alphabetical order. Some of causes are very thin so they're not easily visible on the stacked rates graph or the numbers graph.
It's interesting to consider the messaging from "the experts" in light of this thorough analysis. I wonder if they are reviewing the tape so they perform better next time... I am not optimistic.