I have some nice accounts of development of statistics across Europe in the 80s / 90s, what they were bothered about and who was leading
I have some nice accounts of development of statistics across Europe in the 80s / 90s, what they were bothered about and who was leading
This was such an amazing project to work on, it really pushed me to the limits of what I can do with mapping tools
JSS has had this protocol for a long time now. If you write software in your projects you may like to check them out
www.jstatsoft.org/authors
Debate it with serious people on Spectator tv
You mention a paper you have written about team incentives but I don't see it in the show notes. Could you give a reference?
It's taken quite a while for me to see a write-up like this
And it is where clinicians landed for statistics
The report does acknowledge many traditional open science practices (data sharing, open materials, open access) occur, and are old. It would have been nice if they admitted the update of these practices is very low - that is the real problem, in my view.
open science: (re)organising our scepticism?
Starmer cruelly overlooked Jenrick for his shadow cabinet?
If they really can identify risk factors that make a life of crime more likely, they could make structural interventions ameliorating them or at least mitigating their impact...
Whose podcasts would I listen to if all the philosophers started walking instead of talking?
These accounts are run by charities which are trained to respond to a cry for help
A hand-drawn card celebrating "valam time"
Happy Valam time, people
Looking forward to the inevitable blog post
Follow up from the matplotlib maintainer who got hitbotted theshamblog.com/an-ai-agent-...
Quote from Gareth Davies, Head of the NAO. βIf the unit cost of delivery, and the components making it up, are not well understood, itβs difficult to make sound operational decisions. How do you know where the biggest βbang for the buckβ is?β
Second, having relevant financial management data and information is crucial for driving efficiency. Government systems often lack the data they need to make good decisions.
There is fairly good evidence helmets protect those who fall off: novice riders like children; people on difficult terrain e.g. off road; and, people riding recklessly, so mandated in races
Many scientists contacted the SITC concerned about UKRI cuts, especially to large Physics projects. Sir Ian said the overall budget was not being reduced but rising costs created a funding gap driving the reductions announced. He admitted a communications failure.
Comic. Conjecture: Itβs possible to construct a convincing proof without words, pictures, or content of any kind. Proof: [empty box] [caption] Proofs without words are cool, but we can go further.
Proof Without Content
xkcd.com/3201/
@lakens.bsky.social already said that
π¨ EXCLUSIVE: NHS England warns of "emerging evidence" of harm across England by surgeons, as it launches new requirements and chief exec Sir Jim mackey tells hospitals to be "more curious" in the wake of @GreatOrmondSt scandal:
www.thetimes.com/uk/healthcar...
Try the AI Skills Boost section
Last year, Andy Greenberg was contacted by a source going by "Red Bull" who claimed to be trapped in a Southeast Asian scam compound. The source shared videos, documents, and intel from the inside.
Then he tried to escape.
A must-read from @agreenberg.bsky.social who devoted so much to this saga:
Tomorrow I will give a webinar on preregistration for the ManyMany's: Whatβs the use of preregistration for Big Team Science? You can join for free for the talk, and discussion afterwards.
For more info, see: manymanys.github.io/events/
Read our learnings and insights from more than 400 financial audits.
Many government departments, other agencies and organisations experience the same challenges, such as data & reporting quality, IT controls, and asset management
Report: nao.org.uk/insights/aud...
National Data Library expert advisory group term of reference www.gov.uk/government/p...
"It is <b>not</b> a decision-making forum itself."
Doesn't say who the members are, mostly librarians I expect
Do you think this is a systematic analysis? It is very easy to cherry pick successful outcomes of innovation processes
The plagues up here are different - first it is the shepherd; you find a warning for them in the sky. The reivers are dangerous but the seagulls are deadly - luckily you can hear them coming
You were warned that if you didn't use AI you would be left behind