### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
- What If
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- All about Sankey diagrams
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Leadership lessons from Lao Tzu
- SASB Sustainability Accounting Standards Board
- Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
- Dr James Spall's SPSA
- Healthy Home Healthy Planet
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Woods Hole Oceanographic Institution (WHOI)
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Giant vertical monopolies for energy have stopped making sense
- Number Cruncher Politics
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Gavin Simpson
- distributed solar and matching location to need
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Harvard's Project Implicit
- American Statistical Association
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Slice Sampling
- Gabriel's staircase
- All about models
- Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Dollars per BBL: Energy in Transition
- Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Professor David Draper
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- James' Empty Blog
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
- John Cook's reasons to use Bayesian inference
- Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs

### climate change

- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- "Warming Slowdown?" (part 1 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. In two parts.
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Skeptical Science
- "Getting to the Energy Future We Want," Dr Steven Chu
- AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
- Grid parity map for Solar PV in United States
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Climate model projections versus observations
- An open letter to Steve Levitt
- Berkeley Earth Surface Temperature
- On Thomas Edison and Solar Electric Power
- Mathematics and Climate Research Network The Mathematics and Climate Research Network (MCRN) engages mathematicians to collaborating on the cryosphere, conceptual model validation, data assimilation, the electric grid, food systems, nonsmooth systems, paleoclimate, resilience, tipping points.
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- The Sunlight Economy
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- MIT's Climate Primer
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Warming slowdown discussion
- The Scientific Case for Modern Human-caused Global Warming
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- The great Michael Osborne's latest opinions Michael Osborne is a genius operative and champion of solar energy. I have learned never to disregard ANYTHING he says. He is mentor of Karl Ragabo, and the genius instigator of the Texas renewable energy miracle.
- Jacobson WWS literature index
- Social Cost of Carbon
- Reanalyses.org
- Climate Change Reports By John and Mel Harte
- James Powell on sampling the climate consensus
- "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- "Warming Slowdown?" (part 2 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. The second part.
- SolarLove
- The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
- Interview with Wally Broecker Interview with Wally Broecker
- Jacobson WWS literature index
- Wally Broecker on climate realism
- weather blocking patterns
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
- “The discovery of global warming'' (American Institute of Physics)
- RealClimate
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- History of discovering Global Warming From the American Institute of Physics.

### Archives

### Jan Galkowski

# Category Archives: big data

## There’s Big Data, Tiny Data, and now *Dead Data*

You’ve heard of Big Data. You may have heard of Tiny Data. But now, presented in the Harvard Data Science Review, Professor Steve Stigler presents Dead Data See: S. M. Stigler, “Data have a limited shelf life”, Harvard Data Science … Continue reading

Posted in big data, dead data, statistics, tiny data
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## “Hadoop is NOT ‘Big Data’ is NOT Analytics”

Arun Krishnan, CEO & Founder at Analytical Sciences comments on this serious problem with the field. Short excerpt: … A person who is able to write code using Hadoop and the associated frameworks is not necessarily someone who can understand … Continue reading

## A new feature: Technical publications of the week

I’m beginning a new style of column, called technical publications of the week. While I can’t promise these will be weekly, I will, from time to time, highlight technical publications I’ve recently read which I consider to be noteworthy. I … Continue reading

Posted in Anthropocene, big data, climate change, climate disruption, data science, data streams, earthquakes, geophysics, global warming, Hyper Anthropocene, Locality Sensitive Hashing, LSH, MinHash, numerical algorithms, numerical analysis, random projections, seismology, subspace projection methods, SVD, the right to be and act stupid, the tragedy of our present civilization, the value of financial assets
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## NextGen VOICES: `On data’, `On setbacks’, and `On discovery’

Science Magazine has a periodic column called Science in brief and occasionally that column features a set of what they call “NextGen VOICES”, meaning young scientists. They gather the survey using Twitter (of course) via the hashtag #NextGenSci. For the … Continue reading

## data.table

R provides a helpful data structure called the “data frame” that gives the user an intuitive way to organize, view, and access data. Many of the functions that you would us… Source: Intro to The data.table Package

## On Smart Data

One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading

Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series
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## K-Nearest Neighbors: dangerously simple

Originally posted on mathbabe:

I spend my time at work nowadays thinking about how to start a company in data science. Since there are tons of companies now collecting tons of data, and they don’t know what do to do…

Posted in big data, data science, evidence, machine learning
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## R and “big data”

On 2nd November 2015, Wes McKinney, the developer of the highly useful Python pandas module (and other things, including books), wrote an amusing blog post, “The problem with the data science language wars“. I by no means disagree with him. … Continue reading