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Statistics

TagLast edit: 7 Jun 2022 18:26 UTC by Pablo

Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.

This tag isn’t meant for posts that estimate the impact of specific charities or interventions, but instead for posts about “doing statistics” in general.

Related entries

data science | impact assessment

List of ways in which cost-effec­tive­ness es­ti­mates can be misleading

saulius20 Aug 2019 18:05 UTC
234 points
37 comments13 min readEA link

Why CEA has stopped us­ing Net Pro­moter Score

Ben_West🔸3 Feb 2022 15:43 UTC
85 points
7 comments3 min readEA link

Shap­ley val­ues: Bet­ter than counterfactuals

NunoSempere10 Oct 2019 10:26 UTC
152 points
54 comments15 min readEA link

How much do you be­lieve your re­sults?

Eric Neyman5 May 2023 19:51 UTC
211 points
14 comments1 min readEA link

Ex­pected value and un­cer­tainty with­out full Monte Carlo simulations

Vasco Grilo🔸5 Jan 2024 8:57 UTC
12 points
2 comments2 min readEA link

‘Dis­solv­ing’ AI Risk – Pa­ram­e­ter Uncer­tainty in AI Fu­ture Forecasting

Froolow18 Oct 2022 22:54 UTC
111 points
63 comments39 min readEA link

The ac­ci­den­tal ex­per­i­ment that saved 700 lives (IRS & health in­surance)

Lizka19 Apr 2022 13:28 UTC
42 points
0 comments2 min readEA link
(statmodeling.stat.columbia.edu)

Mak­ing bet­ter es­ti­mates with scarce information

Stan Pinsent22 Mar 2023 16:29 UTC
55 points
16 comments13 min readEA link

How much does perfor­mance differ be­tween peo­ple?

Max_Daniel25 Mar 2021 22:56 UTC
119 points
77 comments6 min readEA link

David Man­ley: Gen­tle Bayesian updating

EA Global25 Oct 2020 6:56 UTC
7 points
0 comments1 min readEA link
(www.youtube.com)

Does putting kids in school now put money in their pock­ets later? Re­vis­it­ing a nat­u­ral ex­per­i­ment in Indonesia

David Roodman25 Nov 2022 21:09 UTC
125 points
24 comments18 min readEA link

Bi­ases in our es­ti­mates of Scale, Ne­glect­ed­ness and Solv­abil­ity?

MichaelStJules24 Feb 2020 18:39 UTC
93 points
12 comments7 min readEA link

Eva Vi­valt: Global poverty II

EA Global28 Aug 2015 8:37 UTC
6 points
0 comments1 min readEA link
(www.youtube.com)

Ex­pected value es­ti­mates you can take (some­what) literally

Gregory Lewis🔸24 Nov 2014 15:55 UTC
23 points
25 comments14 min readEA link

[Question] What are some low-in­for­ma­tion pri­ors that you find prac­ti­cally use­ful for think­ing about the world?

Linch7 Aug 2020 4:38 UTC
63 points
31 comments1 min readEA link

[Link] The Op­ti­mizer’s Curse & Wrong-Way Reductions

Chris Smith4 Apr 2019 13:28 UTC
94 points
61 comments1 min readEA link

Statis­tics for Lazy Peo­ple, Part 2

Hmash14 Apr 2021 12:15 UTC
16 points
2 comments6 min readEA link

Uncer­tainty and sen­si­tivity analy­ses of GiveWell’s cost-effec­tive­ness analyses

cole_haus31 Aug 2019 23:33 UTC
86 points
24 comments58 min readEA link

A be­gin­ner data sci­en­tist tries her hand at biosecurity

ElizabethE23 Oct 2020 15:20 UTC
35 points
2 comments3 min readEA link

On the ro­bust­ness of cost-effec­tive­ness estimates

William_MacAskill24 May 2013 4:00 UTC
5 points
0 comments2 min readEA link

Ju­lia Galef and An­gus Deaton: pod­cast dis­cus­sion of RCT is­sues (ex­cerpts)

Aaron Gertler 🔸4 Jan 2021 21:35 UTC
29 points
5 comments9 min readEA link
(rationallyspeakingpodcast.org)

Eva Vi­valt: Choos­ing effec­tive causes in a rad­i­cally un­cer­tain world

EA Global21 Nov 2020 8:12 UTC
7 points
0 comments1 min readEA link
(www.youtube.com)

Five Ways to Han­dle Flow-Through Effects

Peter Wildeford28 Jul 2016 3:39 UTC
40 points
3 comments5 min readEA link

Es­ti­mat­ing long-term treat­ment effects with­out long-term out­come data

Global Priorities Institute29 Sep 2020 13:30 UTC
3 points
0 comments4 min readEA link
(globalprioritiesinstitute.org)

Giv­ing What We Can—Pledge page trial (EA Mar­ket Test­ing)

david_reinstein16 May 2022 22:39 UTC
56 points
4 comments3 min readEA link

Real­ity is of­ten underpowered

Gregory Lewis🔸10 Oct 2019 13:14 UTC
234 points
17 comments5 min readEA link

[Stats4EA] Ex­pec­ta­tions are not Outcomes

matthewp18 May 2020 22:59 UTC
37 points
5 comments1 min readEA link

[Linkpost] Michael Hue­mer on the case for Bayesian statistics

John G. Halstead7 Feb 2023 17:52 UTC
20 points
2 comments1 min readEA link

Shap­ley val­ues: an in­tro­duc­tory example

Stan Pinsent12 Nov 2023 13:35 UTC
15 points
0 comments4 min readEA link

Re­quest: Datasets with mea­sure­ment er­ror and miss­ing data?

Emma Skarstein20 Apr 2023 14:56 UTC
8 points
4 comments1 min readEA link

When pool­ing fore­casts, use the ge­o­met­ric mean of odds

Jaime Sevilla3 Sep 2021 9:58 UTC
124 points
62 comments8 min readEA link

[Question] Is there a cal­ibra­tion train­ing tool for ‘per­centile rank­ings from a refer­ence group’?

david_reinstein14 Sep 2024 21:55 UTC
8 points
0 comments2 min readEA link

Prob­a­bil­ity dis­tri­bu­tions of Cost-Effec­tive­ness can be misleading

Lorenzo Buonanno🔸18 Jul 2022 17:42 UTC
70 points
49 comments1 min readEA link

Use Nor­mal Predictions

Jan Christian Refsgaard9 Jan 2022 17:52 UTC
12 points
1 comment6 min readEA link
(www.lesswrong.com)

In­tro­duc­ing Stan­ford’s new Hu­mane & Sus­tain­able Food Lab

MMathur30 Apr 2023 1:14 UTC
84 points
12 comments5 min readEA link

[Question] When should the in­verse-var­i­ance method be ap­plied to dis­tri­bu­tions?

Vasco Grilo🔸14 Jun 2022 14:33 UTC
5 points
6 comments1 min readEA link

Es­ti­mat­ing value from pair­wise comparisons

Jonas Moss5 Oct 2022 11:23 UTC
34 points
3 comments1 min readEA link
(blog.jonasmoss.com)

Statis­tics for Lazy Peo­ple, Part 1

Hmash29 Mar 2021 10:59 UTC
44 points
3 comments5 min readEA link

[Question] How Often Does ¬Cor­re­la­tion ⇏ ¬Cau­sa­tion?

niplav2 Apr 2024 18:19 UTC
5 points
0 comments1 min readEA link

[Question] Does study­ing stats rather than maths re­duce im­pact­ful ca­reer op­tions?

Transient Altruist15 Sep 2023 16:08 UTC
2 points
3 comments1 min readEA link

Poli­ti­cal Science Quan­ti­ta­tive Meth­ods and EA

Mahendra Prasad16 Sep 2022 23:28 UTC
12 points
1 comment4 min readEA link

[Question] Sam­ple size and clus­ter­ing ad­vice needed

brb24329 Jul 2020 14:21 UTC
15 points
6 comments1 min readEA link

How to de­ter­mine dis­tri­bu­tion pa­ram­e­ters from quantiles

Vasco Grilo🔸30 May 2022 15:20 UTC
23 points
6 comments2 min readEA link

Prior X%—<1%: A quan­tified ‘epistemic sta­tus’ of your pre­dic­tion.

tcelferact2 Jun 2023 15:51 UTC
11 points
1 comment1 min readEA link

Amer­ica’s 100 Char­i­ties re­ceiv­ing most donations

Pat Myron 🔸22 Jan 2023 18:13 UTC
28 points
2 comments1 min readEA link
(www.forbes.com)

Vi­su­al­i­sa­tion of Prob­a­bil­ity Mass

brook25 Jan 2023 15:09 UTC
25 points
6 comments2 min readEA link

A tech­ni­cal note: Bayesi­anism is not logic, statis­tics is not rationality

jonathanstray6 Sep 2016 15:47 UTC
1 point
7 comments1 min readEA link

Why Cost-Effec­tive­ness ≠ Effec­tive­ness/​Cost

Wes Reisen17 Dec 2023 8:52 UTC
0 points
5 comments3 min readEA link

Take care with no­ta­tion for un­cer­tain quantities

Gregory Lewis🔸16 Sep 2020 19:26 UTC
39 points
2 comments5 min readEA link

How ac­cu­rately does any­one know the global dis­tri­bu­tion of in­come?

Robert_Wiblin6 Apr 2017 4:49 UTC
22 points
28 comments7 min readEA link

A peek at pair­wise prefer­ence es­ti­ma­tion in eco­nomics, mar­ket­ing, and statistics

Jonas Moss8 Oct 2022 4:56 UTC
31 points
5 comments3 min readEA link
(blog.jonasmoss.com)

AI X-Risk: In­te­grat­ing on the Shoulders of Giants

TD_Pilditch1 Nov 2022 16:07 UTC
34 points
0 comments47 min readEA link

[Stats4EA] Uncer­tain Probabilities

matthewp26 May 2020 21:40 UTC
25 points
7 comments1 min readEA link

Turn­ing per­centages back into peo­ple: per­son­al­iz­ing quantification

sky12 Sep 2020 14:30 UTC
25 points
0 comments3 min readEA link

How to Un­der­stand and Miti­gate Risk (Cross­post from LessWrong)

Halffull12 Mar 2019 10:24 UTC
17 points
7 comments16 min readEA link

Space Ex­plo­ra­tion & Satel­lites on Our World in Data

EdMathieu14 Jun 2022 12:05 UTC
57 points
2 comments1 min readEA link
(ourworldindata.org)

Quan­tum com­put­ing timelines

Jaime Sevilla15 Sep 2020 14:15 UTC
28 points
6 comments3 min readEA link

EA Sur­vey 2020 Series: Dona­tion Data

david_reinstein26 Oct 2021 15:31 UTC
49 points
4 comments48 min readEA link

Up­dat­ing on the pas­sage of time and con­di­tional pre­dic­tion curves

Jonas Moss11 Aug 2022 18:18 UTC
37 points
6 comments12 min readEA link

Prospect­ing for Gold (Owen Cot­ton-Bar­ratt)

EA Global18 Nov 2016 12:11 UTC
44 points
5 comments21 min readEA link

Iqisa: A Library For Han­dling Fore­cast­ing Datasets

niplav14 Apr 2023 15:15 UTC
46 points
4 comments2 min readEA link

Weighted Fac­tor Models: Con­sider us­ing the ge­o­met­ric mean in­stead of the ar­ith­metic mean

Soemano Zeijlmans21 Oct 2024 19:57 UTC
59 points
10 comments10 min readEA link
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