## GiveWell wget --recursive --no-clobber --html-extension --domains givewell.org --follow-tags=a --reject '_.js,_.css,_.ico,_.txt,_.gif,_.jpg,_.jpeg,_.png,_.mp3,_.mp4,_.pdf,_.tgz,_.flv,_.avi,_.mpeg,_.iso,_.xls,_.xlsx,_.csv,_.doc,_.docx,_.mpa,\*mp4' --ignore-tags=img,link,script --header="Accept: text/html" --no-parent https://www.givewell.org grep -ri "Internal forecast" -E "prediction|Prediction|forecast|Forecast" \* | sed 's/^/https:\/\/www.givewell.org\//' > searchresults.txt grep -ril "Internal forecast" -E "prediction|Prediction|forecast|Forecast" \* > searchresults.txt cat searchresults.txt cat searchresults.txt | sed 's/^/https:\/\/www.givewell.org\//' > searchresults2.txt cat searchresults2.txt grep -v "print" searchresults2.txt > searchresults3.txt while read line; do firefox --new-tab "$line" done < searchresults3.txt We are experimenting with recording explicit numerical forecasts of the probability of events related to our decision-making (especially grant-making). The idea behind this is to pull out the implicit predictions that are playing a role in our decisions, and to make it possible for us to look back on how well-calibrated and accurate those predictions were. For this grant, we are recording the following forecasts For this grant, we are recording the following forecasts: For this grant, we are recording the following forecast: For this grant, we are recording the following forecasts (made during our decision process): We are experimenting with recording explicit numerical forecasts of the probability of events related to our decision-making (especially grant-making). The idea behind this is to pull out the implicit predictions that are playing a role in our decisions, and to make it possible for us to look back on how well-calibrated and accurate those predictions were. For this grant, we are recording the following forecast: We’re experimenting with recording explicit numerical forecasts of events related to our decisionmaking (especially grantmaking). The idea behind this is to pull out the implicit predictions that are playing a role in our decisions, and make it possible for us to look back on how well-calibrated and accurate those are. For this grant, we are recording the following forecasts: We’re experimenting with recording explicit numerical forecasts of events related to our decisionmaking (especially grantmaking). The idea behind this is to pull out the implicit predictions that are playing a role in our decisions, and make it possible for us to look back on how well-calibrated and accurate those are. Divide by h2, then pull the second which has forecasts ## OpenPhil wget --recursive --no-clobber --html-extension --domains www.openphilanthropy.org --follow-tags=a --reject '_.js,_.css,_.ico,_.txt,_.gif,_.jpg,_.jpeg,_.png,_.mp3,_.mp4,_.pdf,_.tgz,_.flv,_.avi,_.mpeg,_.iso,_.xls,_.xlsx,_.csv,_.doc,_.docx,_.mpa,\*mp4' --ignore-tags=img,link,script --header="Accept: text/html" --no-parent https://www.openphilanthropy.org Find and delete largest files du -a . | sort -n -r | head -n 20 find . -xdev -type f -size +100M find . -type f -exec du -s {} \; | sort -r -k1,1n | head -n 20 grep -ril -E "Internal forecast" \* > searchresults.txt grep -v "print" searchresults.txt > searchresults2.txt Note to self: OpenPhil uses h3 headers instead.