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Rafe Kelley - Five F's model of Movement practice. To be good at...
Five F's model of Movement practice.
To be good at movement you need to be able too.
Fight(martial arts, roughhousing)
Flight(parkour, running, jumping, acrobatics)
Function(move, manipulate and make things)
Funk(get funky, dance)
Freak(as in in bed)

The rest is just window dressing.
Reference  people-rafe-kelley  meetup-movnat 
9 hours ago by daguti
Reference - Facebook Login
Each permission has its own set of requirements and suggested use cases. All these permissions, except the default, public_profile, require that you have Client OAuth Login enabled for your app on the Facebook Login tab of your app dashboard.

Basic permissions, (public_profile, user_friends, and email) do not require Review, but all other permissions do.

Please see the details for each permission to learn more about how to use it in your app. Remember, all use of these permissions are subject to our Platform Policies and your own privacy policy.
reference  data  privacy  collection  facebook  developer  security 
9 hours ago by tcgonline
Introduction to Capacitors, Capacitance and Charge
Electronics Tutorial and Introduction to Capacitors and Capacitor basics including their Capacitance and how Capacitors store a Charge on their Plates
capacitors  capacitance  electronics  tutorial  reference 
11 hours ago by vrobin resources, analysis & news for electronics engineers provides resources and analysis for electronics engineers: reference, tutorials, informed articles, jobs, events calendar, bookshop.
wireless  engineering  reference  electronics  tutorials  resources 
11 hours ago by vrobin
IDEA – nonverbal algorithm assembly instructions
Algorithms explained as if they are IKEA instructions.
reference  education 
14 hours ago by dmetzcher
You need 16 times the sample size to estimate an interaction than to estimate a main effect - Statistical Modeling, Causal Inference, and Social Science
In causal inference, it is often important to study varying treatment effects: for example, a treatment could be more effective for men than for women, or for healthy than for unhealthy patients. Suppose a study is designed to have 80% power to detect a main effect at a 95% confidence level. Further suppose that interactions of interest are half the size of main effects. What is its power for detecting an interaction, comparing men to women (say) in a study that is half men and half women? Suppose 1000 studies of this size are performed. How many of the studies would you expect to report a statistically significant interaction? Of these, what is the expectation of the ratio of estimated effect size to actual effect size?
stats  datascience  reference  argument  read-later 
15 hours ago by kmt

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