Distributed Solar: The Democratizaton of Energy
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- 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
- Gavin Simpson
- Ives and Dakos techniques for regime changes in series
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- American Association for the Advancement of Science (AAAS)
- "Talking Politics" podcast David Runciman, Helen Thompson
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Mertonian norms
- BioPython A collection of Python tools for quantitative Biology
- 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/
- Leadership lessons from Lao Tzu
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Earle Wilson
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- In Monte Carlo We Trust The statistics blog of Matt Asher, actually called the “Probability and Statistics Blog”, but his subtitle is much more appealing. Asher has a Manifesto at http://www.statisticsblog.com/manifesto/.
- 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.
- Carl Safina's blog One of the wisest on Earth
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- 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
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- 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/
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- James' Empty Blog
- Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
- Ted Dunning
- Awkward Botany
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Slice Sampling
- Label Noise
- Professor David Draper
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
- 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.”
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Harvard's Project Implicit
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Los Alamos Center for Bayesian Methods
- The Alliance for Securing Democracy dashboard
- Karl Broman
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Beautiful Weeds of New York City
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Model state level energy policy for New Englad Bob Massie’s proposed energy policy for Massachusetts, an admirable model for energy policy anywhere in New England
- Warming slowdown discussion
- An open letter to Steve Levitt
- 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.
- Agendaists Eli Rabett’s coining of a phrase
- Exxon-Mobil statement on UNFCCC COP21
- Climate impacts on retail and supply chains
- Thriving on Low Carbon
- “The discovery of global warming'' (American Institute of Physics)
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- "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.
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Solar Gardens Community Power
- Risk and Well-Being
- Ice and Snow
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- `Who to believe on climate change': Simple checks By Bart Verheggen
- US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
- Nick Bower's "Scared Scientists"
- History of discovering Global Warming From the American Institute of Physics.
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- Jacobson WWS literature index
- Bloomberg interactive graph on “What's warming the world''
- Grid parity map for Solar PV in United States
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- And Then There's Physics
- Wally Broecker on climate realism
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- 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.
- 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.
- Climate model projections versus observations
- The Sunlight Economy
- 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.
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- weather blocking patterns
- World Weather Attribution
- CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
- "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.)
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- Simple models of climate change
- Jacobson WWS literature index
- Climate Change Denying Organizations
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
Category Archives: medicine
Senn’s `… never having to say you are certain’ guest post from Mayo’s blog
via S. Senn: Being a statistician means never having to say you are certain (Guest Post) See also: E. Cai’s blog post “Applied Statistics Lesson of the Day – The Matched Pairs Experimental Design”, from February 2014 A. Deaton, N. … Continue reading
Posted in abstraction, American Association for the Advancement of Science, American Statistical Association, cancer research, data science, ecology, experimental design, generalized linear mixed models, generalized linear models, Mathematics and Climate Research Network, medicine, sampling, statistics, the right to know Leave a comment
A “capacity for sustained muddle-headedness”
Hat tip to Paul Lauenstein, and his physician brother, suggesting the great insights of the late Dr Larry Weed: Great lines, great quotes, a lot of humor: “… a tolerance of ambiguity …” “Y’know, Pavlov said you must teach a … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, anemic data, Bayesian, cardiovascular system, David Spiegelhalter, machine learning, Massachusetts Institute of Technology, medicine, Paul Lauenstein, rationality, reason, reasonableness, risk, statistics Leave a comment
On differential localization of tumors using relative concentrations of ctDNA. Part 1.
Like most mammalian tissue, tumors often produce shards of DNA as a byproduct of cell death and fracture. This circulating tumor DNA is being studied as a means of detecting tumors or their resurgence after treatment. (See also a Q&A … Continue reading
Posted in approximate Bayesian computation, Bayesian, Bayesian inversion, cardiovascular system, diffusion, dynamic linear models, eigenanalysis, engineering, forecasting, mathematics, maths, medicine, networks, prediction, spatial statistics, statistics, stochastic algorithms, stochastic search, wave equations 3 Comments