seen from United Kingdom
seen from China
seen from Australia
seen from China
seen from Singapore
seen from United Kingdom
seen from United Kingdom
seen from Italy
seen from China
seen from Hong Kong SAR China
seen from Italy
seen from United States
seen from Canada
seen from Italy
seen from Singapore
seen from China
seen from Canada
seen from Japan
seen from United States
seen from United States
A wealth of online videos show dogs that, with the help of a keyboard, seem to be able to communicate with their masters. But does it really
Although the exposé doesn’t mention “statistics” at all and “data” only once, its arguments hinge entirely on proper statistical and data scientific practices. It demonstrates what statistics literacy should amount to.
It’s human nature to spot patterns in data. But we should be careful about finding causal links where none may exist, says statistician Davi
“David Spiegelhalter is chair of the Winton Centre for Risk and Evidence Communication at Cambridge”
Importantly, Spiegelhalter is a statistics professor.
Law enforcement responses to more than 13,000 protests show a clear disparity in responses, new statistics show
Some simple checks can help separate an honest statistic from a falsehood, says author Paul Goodwin
A mesmerising, unaccountable kind of algorithm – machine learning – is blinding governments to the technology’s often disastrous flaws
“[A] thought experiment might be helpful.
“Imagine what it would be like if we gave the pharmaceutical industry the leeway that we currently grant to tech companies. Any smart biochemist working for, say, AstraZeneca, could come up with a strikingly interesting new molecule for, say, curing Alzheimer’s. She would then run it past her boss, present the dramatic results of preliminary experiments to a lab seminar after which the company would put it on the market. You only have to think of the Thalidomide scandal to realise why we don’t allow that kind of thing. Yet it is exactly what the tech companies are able to do with algorithms that turn out to have serious downsides for society.”
Don’t worry, a little Bayesian analysis won’t hurt you.
“In the early pandemic era, for instance, airborne transmission of Covid-19 was not considered likely, but in early July the World Health Organization, with mounting scientific evidence, conceded that it is a factor, especially indoors. The W.H.O. updated its priors, and changed its advice.
“This is the heart of Bayesian analysis, named after Thomas Bayes, an 18th-century Presbyterian minister who did math on the side. It captures uncertainty in terms of probability: Bayes’s theorem, or rule, is a device for rationally updating your prior beliefs and uncertainties based on observed evidence.”
Sharing statistical thinking - an essential skill for reading the news
Statisticians React to the News – Statisticians React to the News
Science is mired in a “replication” crisis. Fixing it will not be easy.
.
“The replication crisis in science is often presented as an issue of scientific procedure or integrity. But all the careful procedure and all the honesty in the world won’t help if your signal (the pattern you’re looking for) is small, and the variation (all the confounders, the other things that might explain this pattern) is high... The big problem in science is not cheaters or opportunists, but sincere researchers who have unfortunately been trained to think that every statistically ‘significant’ result is notable. When you read about research in the news media (and, as a taxpayer, you are indirectly a funder of research, too), you should ask what exactly is being measured, and why.”
.
centrallimittheorem advocates having professional statisticians and data scientists lead the many parts of the study that actually require the collection and interpretation of data.
Yes, that also means that if the entire study is led by a professional statistician (or several) then the scientific conclusions will be that much more reliable.
