"The key question around the #GreenEnergy transition is technological progress, and which technologies would improve..."
- SFI Prof J. Doyne Farmer (@INETOxford)
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"We're tracking the evolution of the global #energy landscape over about 140 years: which source is providing our energy, and how much is it providing us with?"
- SFI Prof J. Doyne Farmer (@INETOxford)
"#FossilFuels cost about the same now as they did a century ago. #Renewables have been dropping in price at rates of about 10% a year and deployment has been shooting up at about 30% a year, and this has been continuing for several decades."
"Some products, especially computers and electronics, go down in price by as much 15% per year every year since the 1950s. How can we make use of this [kind of observation] to understand the future of [#CleanEnergy]?"
"I asked #KenArrow, 'I would like examples of empirical regularities that are predicted by economic theory.' He said, 'Here's a good one. It's not really predicted by economic theory...'"
@INETOxford "The data's not great, but there are 50 technologies here, which is enough to pretend to be at a given time in the past & then forecast each 'future' date. We tested 7 different models & showed #WrightsLaw tied #MooresLaw on that data set."
"We're predicting the change in cost from the change in cumulative production. We showed a lot of predictions in that flavor and showed it's roughly [the same as] #MooresLaw. And based on the noise, you can predict the accuracy of your predictions."
- J. Doyne Farmer
"One of the things you see empirically is lots of 'wiggles'; there tend to be a lot of 'wiggles' in the future, too, [but] we're still within the error bars we predicted."
"We put anchor points in the predictions and see them going forward. ALL of them didn't predict costs [of #Solar] going down as fast as they did. They could have just put the past curve on paper."
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"We have never seen any evidence for floor costs, but they put them in anyway."
"We made conservative projections. We did not forecast deployment. And we don't assume, as all these other models do, that we manage to get more efficiency or use less energy; we assume energy use continues to go up 2%/year, as it has for the last 50 years."
"We don't specify [the reason] that the use of #FossilFuels goes down. We just use costs."
- J. Doyne Farmer (SFI, @INETOxford)
"If we just extrapolate this curve, #solar and #wind take over in less than a decade. The push you make when the naysayers say, 'Solar is only 3%' is, 'Just wait a few years.'"
- J. Doyne Farmer
"The fast transition is saving us $17.5T relative to NO transition, at ANY discount rate."
- J. Doyne Farmer
"In a traditional investment portfolio, they assume that the things you're investing in have no effect on the other things. They say you should always diversify. But if you're dealing with #WrightsLaw you want to pick a few baskets, 4 or 5 or 6, & put your eggs in THOSE baskets."
"All we have to do is keep with the existing trends for the next decade and we'll have dealt with 75% of #ClimateChange. What's blocking improvement is grid capacity. There are some bottlenecks but they're [technologically speaking] relatively small."
- J. Doyne Farmer
"Petrostates are going to collapse in the 25 years. We're going to face a lot of transition risk; I think it's actually bigger than climate risk."
- J. Doyne Farmer (@INETOxford, SFI)
"What's the motivation of this paper? We've seen in most of these locations that there was an #emergence of some form of hierarchical #government [correlated with] a monopoly of #violence and increased #inequality [and] most people lost."
Citing work led by SFI's Tim Kohler in 2017 showing the increase in #inequality (as measured by #GINIcoefficient) as society evolves greater political #scale and more complex/abstract means of production:
"A man who was so restless he said he was chased by 10,000 pigs... He spent his entire inheritance on a five-year voyage of South America. They called him 'The Shakespeare of the Sciences.'"
- @andrea_wulf
🧵@UpshotNYT on new research in @Nature, co-authored by SFI External Professor @JacksonmMatt, on what @facebook data reveals about class, friendship, and economic mobility:
• The premodern era is defined by caloric restriction.
• The modern era is characterized by a small number of sellers of #information vs. a large number of consumers (see also #HerbertSimon's remarks on the "poverty of #attention")