From 78b7680ac5c956c73cdb06253757e6d71e531505 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nu=C3=B1o=20Sempere?= Date: Tue, 20 Nov 2018 16:31:17 +0100 Subject: [PATCH] Update Analysis.md --- rat/EA-predictions/Analysis.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rat/EA-predictions/Analysis.md b/rat/EA-predictions/Analysis.md index 58a20ba..a0bbaf6 100644 --- a/rat/EA-predictions/Analysis.md +++ b/rat/EA-predictions/Analysis.md @@ -1,7 +1,7 @@ # Analysis of some predictions about the 2018 EA Survey ## Introduction. -A group of effective altruism community leaders made predictions about the 2018 EA Survey: a survey which aims to reach most people within the effective altruism movement. Here, I present the set up for the prediction making, the questions, and explain some judgement calls I made when judging the answers. Everything is written such that you can play along. At the end, I provide some code to replicate my analysis. +A group of effective altruism community leaders made predictions about the 2018 EA Survey: a survey which aims to reach most people within the effective altruism movement. Here, I present the set up for the prediction making, the questions, and explain some judgement calls I made when judging the answers. Everything is written such that you can play along. At the end, I provide some code to replicate my analysis. The data was given to me by David Nash. ## Set up For every question, try to come up with an interval such that you're 80% confident the answer lies in it. If you use a search engine, the surveys from previous years are fair game.