
Distributed Solar: The Democratizaton of Energy

Blogroll
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- James' Empty Blog
- Karl Broman
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- John Cook's reasons to use Bayesian inference
- Healthy Home Healthy Planet
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Leverhulme Centre for Climate Change Mitigation
- All about Sankey diagrams
- NCAR AtmosNews
- Mrooijer's Numbers R 4Us
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- 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.”
- Slice Sampling
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Subsidies for wind and solar versus subsidies for fossil fuels
- Number Cruncher Politics
- Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
- The Alliance for Securing Democracy dashboard
- Carl Safina's blog One of the wisest on Earth
- Ives and Dakos techniques for regime changes in series
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
- 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/
- 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.
- Comprehensive Guide to Bayes Rule
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- "Perpetual Ocean" from NASA GSFC
- BioPython A collection of Python tools for quantitative Biology
- 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
- 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.
- Dr James Spall's SPSA
- Label Noise
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Ted Dunning
- Awkward Botany
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Harvard's Project Implicit
- SASB Sustainability Accounting Standards Board
- Tim Harford's “More or Less'' Tim Harford explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life
- American Statistical Association
- Woods Hole Oceanographic Institution (WHOI)
- Risk and Well-Being
- All about models
- Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
climate change
- weather blocking patterns
- And Then There's Physics
- MIT's Climate Primer
- Climate Change Reports By John and Mel Harte
- Social Cost of Carbon
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Documenting the Climate Deniarati at work
- Climate model projections versus observations
- 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.
- "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.
- Jacobson WWS literature index
- Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- World Weather Attribution
- Jacobson WWS literature index
- The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
- Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
- Interview with Wally Broecker Interview with Wally Broecker
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- “The discovery of global warming'' (American Institute of Physics)
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Simple models of climate change
- 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.
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- On Thomas Edison and Solar Electric Power
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- "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.)
- Solar Gardens Community Power
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Risk and Well-Being
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- David Appell's early climate science
- Berkeley Earth Surface Temperature
- 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.
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
- Exxon-Mobil statement on UNFCCC COP21
- Reanalyses.org
- Bloomberg interactive graph on “What's warming the world''
- Climate at a glance Current state of the climate, from NOAA
- An open letter to Steve Levitt
- Ice and Snow
- SolarLove
- "Getting to the Energy Future We Want," Dr Steven Chu
Archives
Jan Galkowski
Category Archives: COVID-19
Meet your sparring partner
(Credits: Professor Wendy Barclay of Imperial College London and Professor Tom Burgoyne of University College London)
Posted in COVID-19, SARS-CoV-2
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ICL’s Gast, Openshaw, Riley, Barclay on COVID-19 by SARS-CoV-2 : Disease, transmission, variants, and all that
Posted in COVID-19, epidemiology, ICL, SARS-CoV-2
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The engagement with SARS-CoV-2: Where we stand in the United States, in curated numbers
From the COVID Tracking Project at The Atlantic Monthly, a 23rd December 2020 report: California is out of control. As I’ve noted elsewhere and the COVID Tracking Project reminds, sourcing cases, deaths, positive test rate, and hospitalization data is tricky. … Continue reading
Six Principle Plays in Denialist Playbook
It’s all about advancing anti-science and doubts about science, as well as confusing the public for ideological and financial gain. (h/t Scientific American)
Posted in American Association for the Advancement of Science, an ignorant American public, anti-intellectualism, anti-science, Ben Santer, climate denial, climate science, Climate Science Legal Defense Fund, COVID-19, denial, Desmog Blog, science, science denier, science education, secularism, Skeptical Science
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Phase Plane plots of COVID-19 deaths with uncertainties
I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading
Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
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“No, COVID-19 Is not the Flu”
Q&A with Andrew Pekosz, PhD, Johns Hopkins University: Q: What would you say to someone who insists to you that COVID-19 is “just the flu”? A: Since December 2019, COVID-19 has killed more people in the U.S. than influenza has … Continue reading
Posted in coronavirus, COVID-19, epidemiology, SARS-CoV-2
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Für alle ohne maske
h/t Professor Christian Robert.
Posted in COVID-19, pandemic, SARS-CoV-2
Tagged Berlin, COVID-19, face-mask, Germany, mask-enforcement, pandemic, pandemic-policy, SARS-CoV-2, street-advertising
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‘The virus is their new hoax’
And note that the variant of SARS-CoV-2 which has taken over the world is a more virulent, more damaging, and more infectious variant of the virus which infected Wuhan. We visualized COVID’s spread across every US state and county. Check … Continue reading
Has maintaining economic growth been worth it?
From Our World in Data article “No sign of a health-economy trade-off, quite the opposite“. Have the countries experiencing the largest economic decline performed better in protecting the nation’s health, as we would expect if there was a trade-off? The … Continue reading
Posted in coronavirus, COVID-19, economics, epidemiology, pandemic, policy metrics, politics, SARS-CoV-2
Tagged covid19, economicimpact, lives_for_dollars, pandemicresponse, sars_cov_2
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“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”
J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
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COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
First substantial mechanism for long term immunity from SARS-CoV-2 : T-cells
M. Leslie, “T cells found in COVID-19 patients ‘bode well’ for long-term immunity“, Science, doi:10.1126/science.abc8120. A. Grifoni, et al, “Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals“, Cell, 14th May 2020. J. … Continue reading
Dissection of the Dr Judy Mikovits’ claims in AAAS Science
https://www.sciencemag.org/news/2020/05/fact-checking-judy-mikovits-controversial-virologist-attacking-anthony-fauci-viral h/t Dr Katharine Hayhoe @LinkedIn The Chronic Fatigue Syndrome retraction notice. Excerpt: Science asked Mikovits for an interview for this article. She responded by sending an empty email with, as attachments, a copy of her new book and a … Continue reading
“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)
Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading
Phase plane plots of COVID-19 deaths
There are many ways of presenting analytical summaries of new series data for which the underlying mechanisms are incompletely understood. With respect to series describing the COVID-19 pandemic, Tamino has used piecewise linear models. I have mentioned how I prefered … Continue reading
Machiavelli
It’s right out of Machiavelli’s The Prince. #covid_19 #coronavirus Even for the Trump administration, it is odd they are pushing #Hydroxychloroquine and #Azithromycin so hard, against medical advice and evidence. I’ve thought about this and, given the growing animosity between … Continue reading
New COVID-19 incidence in the United States as AR(1) processes
There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading
Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2
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