Reanalysis

“without models, there are no data. I’m not talking about the difference between “raw” and “cooked” data. I mean this literally. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet—becomes global in time and space without first passing through a series of data models.”

“Paul N. Edwards – A Vast Machine_ Computer Models, Climate Data, and the Politics of Global Warming”

” A reanalysis project involves reprocessing observational data spanning an extended historical period using a consistent modern analysis system, to produce a dataset that can be used for meteorological and climatological studies.” https://en.wikipedia.org/wiki/Atmospheric_reanalysis

 

Philosophers should talk more about climate change. Yes, philosophers.

“You have probably heard the common deniers’ complaint that climate scientists adapt models when new data comes in. That is supposedly unscientific because, here it comes (..) But the deniers’ argument merely demonstrates they know even less about scientific methodology than particle physicists. Revising a hypothesis when new data comes in is perfectly fine. In fact, it is what you expect good scientists to do.”

 

Fund R&D, then scaling (solar panels edition)

paper here , charts from the paper:

 

ESG – Evironment Social Governance

Acronym to remember

Funds flowing into ESG fundsScreenshot 2019-11-11 at 18.36.59

but WSJ reports that 8 of 10 have investemnts in things like Exxon Mobil, as sustainable as it gets fi you want, as Blackrock does, offer same risk and return that in the broad market.

Money is surely not where the mouth is, as some point the giration might be more violent than expected