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Megan Higgs proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Appreciate the antilibrary (and maybe the antiresume and antischolar as well). https://critical-inference.com/appreciating-the-anti-library/ …
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I was also one who made a conscious decision not to respond to the survey.https://twitter.com/d_spiegel/status/1221752176600436737 …
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My favorite app about/for meditation, mindfulness, etc. I particularly love the lessons and conversations. [You have been invited to experience the Waking Up app for free. The app is unlocked for one month. Enjoy.]https://share.wakingup.com/a42e92343957
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We need more ignorance, or at least awareness of it. https://critical-inference.com/we-need-more-ignorance/ …
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Megan Higgs proslijedio/la je Tweet
No, I don’t think that this study offers good evidence that installing air filters in classrooms has surprisingly large educational benefits. https://statmodeling.stat.columbia.edu/2020/01/09/no-i-dont-think-that-this-study-offers-good-evidence-that-installing-air-filters-in-classrooms-has-surprisingly-large-educational-benefits/ …
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Megan Higgs proslijedio/la je Tweet
A year-close thought on "confidence," "significance" etc., paraphrasing Korzybski, Science and Sanity (1958): "We do not realize the tremendous power the structure of habitual language has and impresses upon us unconsciously, automatically projected upon the world around us."https://twitter.com/vamrhein/status/1212110241506181126 …
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Statistical inference. Fact detector? It is not. https://critical-inference.com/fact-detector-it-is-not/ …
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Megan Higgs proslijedio/la je Tweet
This might be my favorite sentence, talking about the open access publishing model: "This would effectively nationalize the valuable American intellectual property that we produce and force us to give it away to the rest of the world for free."
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Defining replication. Time to revisit a fundamental statistical concept relative to how the word is often used today. https://critical-inference.com/defining-replication/ …
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Megan Higgs proslijedio/la je Tweet
Attempts at providing helpful explanations of statistics must avoid instilling misleading or harmful notions: ‘Statistical significance just tells us whether or not something definitely does or definitely doesn’t cause cancer’ https://statmodeling.stat.columbia.edu/2019/12/18/attempts-at-providing-helpful-explanations-of-statistics-must-avoid-instilling-misleading-or-harmful-notions-statistical-significance-just-tells-us-whether-or-not-something-definitely-does-or-defin/ …
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Trust is complicated. https://critical-inference.com/trust-is-complicated/ …
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Megan Higgs proslijedio/la je Tweet
Response to criticisms of Bayesian statistics https://statmodeling.stat.columbia.edu/2019/12/16/response-to-criticisms-of-bayesian-statistics/ …
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Valuable description of a valuable perspective -- the world needs more reminders to think deeply about what one might really be estimating (or trying to estimate) and all the assumptions woven in and around it.https://twitter.com/StatModeling/status/1206218422243282946 …
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Megan Higgs proslijedio/la je Tweet
What does it mean when they say there’s a 30% chance of rain? https://statmodeling.stat.columbia.edu/2019/12/14/what-does-it-mean-when-they-say-theres-a-30-chance-of-rain/ …
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Megan Higgs proslijedio/la je Tweet
“Inferential statistics as descriptive statistics” https://statmodeling.stat.columbia.edu/2019/12/11/inferential-statistics-as-descriptive-statistics/ …
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Revisiting a year later - Parachutes don't work any better than a backpack. And, "Scientists often read just the conclusion of a study and then draw their own conclusions that are far more sweeping than are justified by the actual findings."https://www.npr.org/sections/health-shots/2018/12/22/679083038/researchers-show-parachutes-dont-work-but-there-s-a-catch …
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"It can be hard for people to shake off this habit. But, remember: type 1 and type 2 errors are theoretical constructs based on false models. Keep your eye on the ball and remember your larger goals. When it comes to statistical methods,the house is stronger than the foundations"https://twitter.com/StatModeling/status/1202229196573028352 …
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"Bayesian inference is a tool. It solves some problems but not all, and I’m exhausted by the ideology of the Bayes-evangelists."https://twitter.com/StatModeling/status/1201873375066501121 …
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Megan Higgs proslijedio/la je Tweet
Thou shalt not send out questionnaires without piloting them first, nor without a precise plan for how you will analyze the data, with a clear understanding of how these analyses will support your objectives. You are just wasting people's time otherwise.
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