One chart, many stories. Predicted renewable energy deployment vs actual deployment.
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@janrosenow Seems someone got burned really badly by the prediction in 2000 and decided they never wanted to make the over prediction mistake EVER again.
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@janrosenow @yosh I find the chart highly disingenuous in that it takes the lower end predictions. If the author truly want to show the good thing (more renewable is nice!) they should at least take the mean/median or even the higher end estimates.
This whole graph is a college course on « just pick the data you need for your objective » :/
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@janrosenow well, it’s free money so why not! The only problem is that so are fossil fuels so this isn’t displacing them overall, it’s just adding to the energy we consume
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@janrosenow Yes, this has been a huge IEA bias for a very long time:
"The International Energy Agency consistently underestimates wind and solar power. Why?"
https://www.vox.com/2015/10/12/9510879/iea-underestimate-renewables
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@janrosenow The first few points/predictions are kinda-sorta understandable, or at least excusable. But after about 2010, it becomes seriously, "Come on, how can you look at this [waves at previous data points] and then predict that [pointing at bizarrely divergent prediction]!?"
Feels like a lot of people have an ax to grind. And won't admit they're wishcasting, not predicting.
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@janrosenow it's a bit disingenuous to take the “existing-policies scenario, lower-end estimates” predictions to make this graph IMO.
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