Best of Twitter - Week of October 19, 2020
You would not believe how many documents, investment pitches, etc etc are improved by looking at the artifact with the author, asking "Before we get into the line-by-line, what is this trying to say?", listening attentively, and saying "OK, now go back and write that."
đJulia Evansđ @b0rk
Excellent advice for anyone who works in a large organization. To be effective, you need to know who has the power to say yes.
What makes this @Alex_Danco post great, is it brings fresh eyes to how *all* large orgs work.
alexdanco.com/2020/10/23/sixâŚ
This was a very fun conversation with @alexeyguzey about being a student and being a scientist, and the ways in which the scientific enterprise works well and doesn't work well. I'll give an outline of some of the highlights in the thread below.
Alexey Guzey @alexeyguzey
I wrote something on how practically every usage of statistical significance (p-values) is rationally flawed.
The most interesting thing happening in crypto right now, IMO, is the steady trickle of corporations announcing they are allocating some of their reserve assets to Bitcoin. This is a signal of widespread acceptance, and buying pressure. Updated list here:
concerning that every time we get a new healthcare wearable that makes a new body function legible (sleep, glucose)
the only two reactions are either to try to max it out, or keep it stable as can be. Very few parts of your biology run well in either condition.
One of the biggest questions in the world with the most grossly insufficient amount of brainsweat applied to it:
Are we experiencing unprecedented levels of institutional failure or unprecedented levels of transparency into prevailing competence levels?
^ thread
One way to view social media is it has unlocked using our preferred mode of norm enforcement, gossip, at internet scale.
So we no longer need the liberal order of abstract rules. Gossip is irresistible and all powerful.
arnoldkling.com/blog/gossip-atâŚ
Increasing transparency leads to society-wide confirmation bias. Nobody changed their mind, but everyone has a lot more evidence.
When it comes to biomedicine, It's very difficult to define the line between minority view and misinformation
First you must subtract the fraction of people reluctant to say anything in this atmosphere and then...
^ thread