"The key question around the #GreenEnergy transition is technological progress, and which technologies would improve..."
- SFI Prof J. Doyne Farmer (@INETOxford)

Follow this 🧵 for insights from today's seminar, streaming now on our YouTube channel:
"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)

Speaking now:

#Solar #Wind #Nuclear #Oil #Gas #Coal
"#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."

- J. Doyne Farmer (SFI, @INETOxford)
"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]?"

- J. Doyne Farmer (SFI, @INETOxford) re: #WrightsLaw
"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...'"

- J. Doyne Farmer (SFI, @INETOxford) re: #WrightsLaw
@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."

- J. Doyne Farmer (SFI, @INETOxford)
"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."

- J. Doyne Farmer on the predicting the evolution of #SolarEnergy #Technology
"Oil extraction technology has gotten better over the last century, but oil has become more difficult to extract, so they cancel each other out."

- J. Doyne Farmer
"Here are examples for what we think will likely be the four key technologies in the #GreenEnergy transition."

"We predicted in 2010 that solar would become cheaper than coal & gas, & [it did]."

- J. Doyne Farmer (SFI+@INETOxford) on #Solar, #Wind, #Batteries, & #Electrolyzers
"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."
+
"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."

- J. Doyne Farmer
Three scenarios for the #CleanEnergy transition:

"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)

For more on "How Can #ComplexityEconomics Give More Insight into #PoliticalEconomy?" — the recent SFI working group co-organized by J. Doyne Farmer (@INET_Complexity) & @EricBeinhocker, read on:
santafe.edu/news-center/ne…
(Then listen to their recent episodes of #ComplexityPodcast!)

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More from @sfiscience

Aug 15
"The emergence of #government as organized #violence-cum-#robbery"
SFI Seminar by @CoenTeulings (@UniUtrecht)

Video link:


Follow this 🧵 for highlights + slides! Image
"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."

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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: Image
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Aug 3
🧵 "A #biologist's perspective of #process and #pattern in #innovation"
by SFI External Professor @HochTwit

Starting in just a few minutes on our YouTube channel.

Follow this thread for select slides and quotations...
youtube.com/user/santafein… Image
"I'm not going to pretend there's a unified theory of #innovation, and I'm going to explain why."

We begin with a tale of #Minitel: the original, now-extinct French "Web"...and then back further to #ARPANet...and then to theoretical precursors.


@HochTwit ImageImageImage
"There is no first-principles definition for #innovation."

"How could a company start with selling books online when people want to see a book in person and look through it? Nonetheless, @amazon survived..."

Before Amazon, Books.com on TelNet, later bought by B&N ImageImageImageImage
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Aug 3
🧵 Tonight's SFI Community Lecture by 2x Miller Scholar @Andrea_Wulf begins in just a few minutes!

Follow this thread for the streaming link and highlights from the talk. (Sorry, but this recording will not be available to view afterward...)
Talk starts now with an intro by SFI Prof @C4_Computation:


Q - Flack: "Some of you might wonder how a talk on Humboldt connects to #ComplexityScience."

A - Humboldt: "Knowledge of the chain of connection....the perception of these relations."
Who was #AlexanderVonHumboldt?

"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
Read 12 tweets
Aug 2
🧵@UpshotNYT on new research in @Nature, co-authored by SFI External Professor @JacksonmMatt, on what @facebook data reveals about class, friendship, and economic mobility:
More at @CBSNews:


From the paper:
"It is clear that a booming economy does not guarantee better outcomes for local children."
Read 4 tweets
Jul 27
Queuing up for tonight's sold out (but streaming) Community Lecture by Fractal Faculty Professor @seanmcarroll!
🧵 Follow this thread as we look into Schröedinger's Box with @seanmcarroll (newly appointed to Chair of #NaturalPhilosphy at @johnshopkins) and learn about the #ManyWorlds hypothesis of #QuantumMechanics:

"Even if we're wrong, it's not magic, it's #physics, it's #science, and it can be understood."

"When we look at the world, we don't see the entirety of reality. What reality is, is the #superposition of the many different ways..."

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Jul 26
"Argument-Making in the Wild"

Today's SFI Seminar by Simon DeDeo (@LaboratoryMinds), streaming now. Follow our thread for pull quotes and slides:

First, let's divide human history into three eras, or regimes of #knowledge #production and #consumption:

• #premodern/#archaic
• #modern + #postmodern
• the #egregore (online content sharing)

• 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")

Read 16 tweets

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