Colleagues, we need to talk about the damage that endless zooming can do. Every day I see new opportunities to join in this or that online discussion or conference, and each invitation is becoming a burden 1/... #AcademicTwitter #AcademicChatter
(1) Do people really WANT it, or is it just you and me who think it's a good idea? Who haven't I heard from?
(2) Can it wait? is it really that important? 8/...
(4)can this be handled asynchronously? Maybe a wiki or forum will allow you to gather reactions at people's convenience rather than forcing them in front of the camera 9/...
More from Science
The physicist Hugh Everett III was born #OTD in 1930. His \u201crelative state\u201d formulation of quantum mechanics, which we now call the \u201cMany Worlds Interpretation,\u201d was published in 1957. pic.twitter.com/ZqMsZcPJDG
— Robert McNees, the bastegod (@mcnees) November 11, 2020
We look at the night sky and see photons arriving to us, emitted by distant stars. Let's contrast two different theories about how stars emit photons.
One theory says, we know how stars shine, and our equations predict that they emit photons roughly uniformly in all directions. Call this the "Many-Photons Interpretation" (MPI).
But! Others object. That is *so many photons*. Most of which we don't observe, and can't observe, since they're moving away at the speed of light. It's too ontologically extravagant to posit a huge number of unobservable things!
So they suggest a "Photon Collapse Interpretation." According to this theory, the photons emitted toward us actually exist. But photons that would be emitted in directions we will never observe simply collapse into utter non-existence.
Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak
#Science #Statistics
Basic Statistics Part 2: Correlation vs. Causation
https://t.co/Azhyl8pDsX (2/7)
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections
https://t.co/LetN6aEBRM (3/7)
Basic statistics part 4: understanding P values
https://t.co/K8MMMgTCOf (4/7)
Basic Statistics Part 5: Means vs Medians, Is the “Average”
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