Category Archives: anemic data

How to Describe Numbers

Source: How to Describe Numbers from the Stats With Cats blog.

Posted in abstraction, anemic data, anomaly detection, descriptive statistics, education | 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

`Letter to Lamar Smith’

On Ed Hawkins’ blog. The Committee on Science, Space & Technology of the US House of Representatives conducts regular evidence hearings on various science topics. On Wednesday 29th March, there is a hearing on “Climate science: assumptions, policy implications, and … Continue reading

Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, anemic data, anomaly detection, Anthropocene, Ben Santer, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, changepoint detection, climate, climate change, climate data, climate disruption, Climate Lab Book, climate zombies, dependent data, environment, fossil fuel divestment, geophysics, global warming, greenhouse gases, Humans have a lot to answer for, Hyper Anthropocene, leaving fossil fuels in the ground, meteorology, MIchael Mann, Our Children's Trust, physics, science, smoothing, statistical dependence, the right to be and act stupid, the right to know, the tragedy of our present civilization, the value of financial assets, time series | Leave a comment

Polls, Political Forecasting, and the Plight of Five Thirty Eight

On 17th October 2016 AT 7:30 p.m., Nate Silver of FiveThirtyEight.com wrote about how, as former Secretary of State Hillary Clinton’s polling numbers got better, it was more difficult for FiveThirtyEight‘s models to justify increasing her probability of winning, although … Continue reading

Posted in abstraction, American Statistical Association, anemic data, citizen science, citizenship, civilization, economics, education, forecasting, information theoretic statistics, mathematics, maths, politics, prediction markets, sociology, the right to know, theoretical physics, thermodynamics | Leave a comment

David Spiegelhalter on `how to spot a dodgy statistic’

In this political season, it’s useful to brush up on rhetorical skills, particularly ones involving numbers and statistics, or what John Allen Paulos called numeracy. Professor David Spiegelhalter has written a guide to some of these tricks. Read the whole … Continue reading

Posted in abstraction, anemic data, Bayes, Bayesian, chance, citizenship, civilization, corruption, Daniel Kahneman, disingenuity, Donald Trump, education, games of chance, ignorance, maths, moral leadership, obfuscating data, open data, perceptions, politics, rationality, reason, reasonableness, rhetoric, risk, sampling, science, sociology, statistics, the right to know | Leave a comment

Six cases of models

The previous post included an attempt to explain land surface temperatures as estimated by the BEST project using a dynamic linear model including regressions on both quarterly CO2 concentrations and ocean heat content. The idea was to check the explanatory … Continue reading

Posted in AMETSOC, anemic data, Anthropocene, astrophysics, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, climate, climate change, climate data, climate disruption, climate models, dlm package, dynamic linear models, dynamical systems, environment, fossil fuels, geophysics, Giovanni Petris, global warming, greenhouse gases, Hyper Anthropocene, information theoretic statistics, maths, maximum likelihood, meteorology, model comparison, numerical software, Patrizia Campagnoli, Rauch-Tung-Striebel, Sonia Petrone, state-space models, stochastic algorithms, stochastic search, SVD, time series | 1 Comment

HadCRUT4 and GISTEMP series filtered and estimated with simple RTS model

Happy Vernal Equinox! This post has been updated today with some of the equations which correspond to the models. An assessment of whether or not there was a meaningful slowdown or “hiatus” in global warming, was recently discussed by Tamino … Continue reading

Posted in AMETSOC, anemic data, Bayesian, boosting, bridge to somewhere, cat1, changepoint detection, climate, climate change, climate data, climate disruption, climate models, complex systems, computation, data science, dynamical systems, geophysics, George Sughihara, global warming, hiatus, information theoretic statistics, machine learning, maths, meteorology, MIchael Mann, multivariate statistics, physics, prediction, Principles of Planetary Climate, rationality, reasonableness, regime shifts, sea level rise, time series | 2 Comments

Going down to the Southern Ocean, by Earle Wilson (on the Scripps R/V Roger Revelle)

(Click on picture to see a larger image, and use your browser Back button to return to reading.) Getting steady data from the Earth’s oceans demands commitment and not a little courage. I could never do what these oceanographers do, … Continue reading

Posted in Alison M Macdonald, anemic data, Antarctica, climate data, complex systems, Earle Wilson, Emily Shuckburgh, engineering, environment, fluid dynamics, geophysics, marine biology, NOAA, oceanic eddies, oceanography, open data, Principles of Planetary Climate, sampling, science, Scripps Institution of Oceanography, thermohaline circulation, waves, WHOI, Woods Hole Oceanographic Institution | Leave a comment

Life cycle analysis of emissions from various forms of energy converted to electricity

There was a recent discussion regarding the life cycle analysis of various forms of energy, principally to be converted to electricity. Given that everything I know about sustainability and life cycle analysis suggests is it is a very complicated business, … Continue reading

Posted in adaptation, anemic data, Anthropocene, biofuels, bridge to nowhere, carbon dioxide, carbon dioxide sequestration, Carbon Worshipers, citizenship, civilization, clean disruption, climate, climate change, climate disruption, complex systems, corporate litigation on damage from fossil fuel emissions, corporate supply chains, decentralized electric power generation, decentralized energy, demand-side solutions, destructive economic development, economics, efficiency, energy, energy reduction, energy utilities, engineering, environment, evidence, forecasting, fossil fuel divestment, fossil fuels, global warming, Hyper Anthropocene, investment in wind and solar energy, IPCC, James Hansen, Life Cycle Assessment, Mark Jacobson, methane, natural gas, nuclear power, nuclear weapons, pipelines, Sankey diagram, solar energy, solar power, SolarPV.tv, Tea Party, transparency, wind energy, wind power, zero carbon | Leave a comment

On friction and the duplicity

(Hat tip to Peter Sinclair at Climate Denial Crock of the Week.) Has Senator Cruz called Dr Carl Mears (video) of Remote Sensing Systems, the maker and interpreter of the sensor Senator Cruz used for his Spencer-Christy-Curry carnival? No. Of … Continue reading

Posted in AMETSOC, anemic data, Berkeley Earth Surface Temperature project, BEST, climate, climate change, climate data, climate disruption, confirmation bias, corruption, denial, disingenuity, ecology, evidence, fear uncertainty and doubt, geophysics, global warming, greenhouse gases, hiatus, Hyper Anthropocene, ignorance, meteorology, model comparison, NCAR, NOAA, obfuscating data, oceanography, physics, rationality, reasonableness, statistics, time series | Leave a comment

“Response” (to “…I would be interested to see how one can prove from such varying data that the warming has accelerated over time”), by Tamino

Originally posted on Open Mind:
Some comment replies require more than just a few brief lines. Richard Mallett | May 19, 2015 at 4:28 pm | I see that somebody has been posting replies in italics and within square brackets…

Posted in anemic data, Anthropocene, carbon dioxide, chance, climate, climate change, climate disruption, climate education, denial, ecology, education, forecasting, geophysics, global warming, maths, obfuscating data, open data, physics, politics, rationality, science, science education, sea level rise, statistics, sustainability, time series | 1 Comment

“Big Data is the new Phrenology”

From mathbabe: Big Data is the new phrenology. Excerpt: Here’s the thing. What we’ve got is a new kind of awful pseudo-science, which replaces measurements of skulls with big data. There’s no reason to think this stuff is any less … Continue reading

Posted in anemic data, Bayes, Bayesian, bridge to nowhere, mathematics, maths, rationality, reasonableness, statistics | Leave a comment