quantified.uncertainty/utility-function-extractor
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Changed slider order. Inferred relative utility compared to a reference point. However, object structures used in the code remain messy

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This commit is contained in:
NunoSempere 2021-06-07 19:09:30 +02:00
parent 9c0f1e80a6
commit 9766165060
12 changed files with 358 additions and 527 deletions
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39
README.md
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@ -1,23 +1,18 @@
# Next.js + Tailwind CSS Example ## Object structure
The core structure is json array of objects. Only the "name" attribute is necessary; the id is also internally necessary but it's created on the fly if it doesn't exist. The reason that ids are needed is that comparing objects is annoying.
This example shows how to use [Tailwind CSS](https://tailwindcss.com/) (v2.1) with Next.js. It follows the steps outlined in the official [Tailwind docs](https://tailwindcss.com/docs/guides/nextjs).
It uses the new [`Just-in-Time Mode`](https://tailwindcss.com/docs/just-in-time-mode) for Tailwind CSS.
## Deploy your own
Deploy the example using [Vercel](https://vercel.com?utm_source=github&utm_medium=readme&utm_campaign=next-example):
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/git/external?repository-url=https://github.com/vercel/next.js/tree/canary/examples/with-tailwindcss&project-name=with-tailwindcss&repository-name=with-tailwindcss)
## How to use
Execute [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app) with [npm](https://docs.npmjs.com/cli/init) or [Yarn](https://yarnpkg.com/lang/en/docs/cli/create/) to bootstrap the example:
```bash
npx create-next-app --example with-tailwindcss with-tailwindcss-app
# or
yarn create next-app --example with-tailwindcss with-tailwindcss-app
``` ```
[
Deploy it to the cloud with [Vercel](https://vercel.com/new?utm_source=github&utm_medium=readme&utm_campaign=next-example) ([Documentation](https://nextjs.org/docs/deployment)). {
"id": 1,
"name": "Peter Parker",
"someOptionalKey": "...",
"anotherMoreOptionalKey": "..."
},
{
"id": 2,
"name": "Spiderman",
"someOptionalKey": "...",
"anotherMoreOptionalKey": "..."
}
]
```

1
lib/displayAsMarkdown.js
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@ -22,7 +22,6 @@ export function DisplayAsMarkdown({markdowntext}){
return( <ReactMarkdown return( <ReactMarkdown
plugins={[gfm]} plugins={[gfm]}
children={markdowntext} children={markdowntext}
allowDangerousHtml
className="ml-30" className="ml-30"
/>) />)
} }

12
lib/displayElement.js
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@ -1,14 +1,18 @@
import React from "react"; import React from "react";
let capitalizeFirstLetter = (string) => string.charAt(0).toUpperCase() + string.slice(1)
export function DisplayElement({element}){ export function DisplayElement({element}){
let otherkeys = Object.keys(element).filter(key => key!="name" && key!="url" && key != "id")
let othervalues = otherkeys.map(key => element[key])
let otherpairs = otherkeys.map((key,i) => ({key: capitalizeFirstLetter(key), value: othervalues[i]}))
return( return(
<div> <div>
<a href={element.url} target="_blank"> <a href={element.url} target="_blank">
<h1>{`${element.name}`}</h1> <h2>{`${element.name}`}</h2>
</a> </a>
<p>{`Author: ${element.author}`}</p> {otherpairs.map(pair => <p>{`${pair.key}: ${pair.value}`}</p>)}
<p>{`Karma: ${element.karma}`}</p>
</div> </div>
) )
} }

167
lib/findPaths.js Normal file
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@ -0,0 +1,167 @@
/* Imports*/
import React from "react";
/* Utilities */
let avg = arr => arr.reduce((a,b) => (a+b)) / arr.length
/* Main function */
function findPathsInner({sourceElementId, targetElementId, pathSoFar, links, listOfElements, maxLengthOfPath}){
let paths = []
if(maxLengthOfPath > 0){
for(let link of links){
if(
((link.source == sourceElementId) && (link.target == targetElementId)) ||
((link.source == targetElementId) && (link.target == sourceElementId))
){
paths.push(pathSoFar.concat(link).flat())
//console.log(`Final path found at recursion level: ${maxLengthOfPath}. Source: ${sourceElementId}, target=${targetElementId}`)
//console.log(link)
} else if((link.source == sourceElementId)){
let newPaths = findPathsInner({sourceElementId:link.target, targetElementId, pathSoFar: pathSoFar.concat(link).flat(), links, listOfElements, maxLengthOfPath: (maxLengthOfPath-1)})
if(newPaths.length != 0){
//console.log(`New link, at recursion level: ${maxLengthOfPath}. Source: ${sourceElementId}, target=${targetElementId}. PathSoFar: ${pathSoFar}`)
//console.log(link)
//console.log(newPaths)
paths.push(...newPaths)
}
}else if((link.target == sourceElementId)){
let newPaths = findPathsInner({sourceElementId:link.source, targetElementId, pathSoFar: pathSoFar.concat(link).flat(), links, listOfElements, maxLengthOfPath: (maxLengthOfPath-1)})
if(newPaths.length != 0){
//console.log(`New link, at recursion level: ${maxLengthOfPath}. Source: ${sourceElementId}, target=${targetElementId}. PathSoFar: ${pathSoFar}`)
//console.log(link)
//console.log(newPaths)
paths.push(...newPaths)
}
}
}
}
return paths
}
function findPaths({sourceElementId, targetElementId, links, listOfElements}){
let positionSourceElement = listOfElements.map((element, i) => (element.id)).indexOf(sourceElementId)
let positionTargetElement = listOfElements.map((element, i) => (element.id)).indexOf(targetElementId)
let maxLengthOfPath = Math.abs(positionSourceElement - positionTargetElement)
console.log(maxLengthOfPath)
return findPathsInner({sourceElementId, targetElementId, pathSoFar: [], links, listOfElements, maxLengthOfPath})
}
function findDistance({sourceElementId, targetElementId, links, listOfElements}){
let paths = findPaths({sourceElementId, targetElementId, links, listOfElements})
// console.log(paths)
let weights = []
for(let path of paths){
let currentSource = sourceElementId
let weight = 1
// console.log(path)
for(let element of path){
// console.log(element)
// console.log(element.source)
// console.log(element.target)
let distance = 0
if(element.source == currentSource){
// console.log("A")
distance = element.distance
currentSource = element.target
}else if(element.target == currentSource){
// console.log("B")
distance = 1/Number(element.distance)
currentSource = element.source
}
weight = weight*distance
// console.log(weight)
}
weights.push(weight)
}
//let sum = JSON.stringify(weights)//weights.length > 0 ? weights.reduce((a,b) => (a+b)) / weights.length : "Not found"
//return sum
return weights.map(weight => Math.round(weight*100)/100)
}
function findDistancesForAllElements({links, listOfElements}){
let referenceElement = listOfElements.filter(x => x.isReferenceValue)[0]
console.log(referenceElement.id)
let distances = listOfElements.map(element =>{
if(element.isReferenceValue){
return [1]
}else{
// console.log({sourceElementId: referenceElement.id, targetElementId: element.id, links, listOfElements})
return findDistance({sourceElementId: Number(referenceElement.id), targetElementId: Number(element.id), links, listOfElements})
}
})
return distances
}
export function CreateTableWithDistances({isListOrdered, quantitativeComparisons, listOfElements, referenceValueId}){
if(!isListOrdered){ // listOfElements
console.log
console.log("List of Elements: ")
console.log(listOfElements)
return (<div></div>)
} else {
console.log(`isListOrdered: ${isListOrdered}`)
console.log("List Of Elements:")
console.log(listOfElements)
let links = quantitativeComparisons.map(([element1, element2, distance]) => ({source: element1, target: element2, distance: distance}))
let distances = findDistancesForAllElements({links, listOfElements})
let rows = listOfElements.map((element, i) => ({id: element.id, name: element.name, distances: distances[i]}))
return(<div>
<table className="">
<thead >
<tr >
<th >Id</th>
<th>&nbsp;&nbsp;&nbsp;</th>
<th >Element</th>
<th> &nbsp;&nbsp;&nbsp;</th>
<th >Possible relative values</th>
<th> &nbsp;&nbsp;&nbsp;</th>
<th >Average relative value</th>
</tr>
</thead>
<tbody>
{rows.map(row => <tr>
<td className="">{row.id}</td>
<td>&nbsp;&nbsp;&nbsp;</td>
<td className="">{row.name}</td>
<td>&nbsp;&nbsp;&nbsp;</td>
<td className="">{JSON.stringify(row.distances, null, 2)}</td>
<td>&nbsp;&nbsp;&nbsp;</td>
<td className="">{avg(row.distances).toFixed(2)}</td>
</tr>
)}
</tbody>
</table>
</div>
)
}
}
/* Testing */
//import fs from 'fs';
//import path from 'path';
/*
const directory = path.join(process.cwd(),"pages")
let links = JSON.parse(fs.readFileSync(path.join(directory, 'distancesExample.json'), 'utf8'));
let listOfElements = JSON.parse(fs.readFileSync(path.join(directory, 'listOfPosts.json'), 'utf8'));
let paths = findPathsInner({sourceElementId:2, targetElementId:0, pathSoFar: [], links, listOfElements, maxLengthOfPath: 2})
console.log(JSON.stringify(paths, null, 2))
*/
/*
let paths = findPaths({sourceElementId:2, targetElementId:0, links, listOfElements})
console.log(JSON.stringify(paths, null, 2))
*/
/*
let distances = findDistance({sourceElementId:2, targetElementId:4, links, listOfElements})
console.log(distances)
*/

1
lib/slider.js
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@ -84,6 +84,7 @@ export function SliderElement({ onChange, value, displayFunction }) {
domain={[-3,3]} domain={[-3,3]}
values={[value]} values={[value]}
onChange={onChange} onChange={onChange}
reversed={true}
> >
<Rail> <Rail>
{({ getRailProps }) => ( {({ getRailProps }) => (

455
package-lock.json generated
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@ -20,7 +20,7 @@
"devDependencies": { "devDependencies": {
"autoprefixer": "^10.0.4", "autoprefixer": "^10.0.4",
"postcss": "^8.1.10", "postcss": "^8.1.10",
"tailwindcss": "^2.1.1" "tailwindcss": "^2.0.4"
} }
}, },
"node_modules/@babel/code-frame": { "node_modules/@babel/code-frame": {
@ -205,41 +205,6 @@
} }
} }
}, },
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@ -1681,49 +1614,6 @@
"url": "https://github.com/sponsors/isaacs" "url": "https://github.com/sponsors/isaacs"
} }
}, },
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@ -2047,15 +1937,6 @@
"url": "https://github.com/sponsors/wooorm" "url": "https://github.com/sponsors/wooorm"
} }
}, },
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@ -3222,42 +3075,6 @@
"url": "https://github.com/sponsors/wooorm" "url": "https://github.com/sponsors/wooorm"
} }
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"bytes": "^3.0.0", "bytes": "^3.0.0",
"chalk": "^4.1.0", "chalk": "^4.1.0",
"chokidar": "^3.5.1",
"color": "^3.1.3", "color": "^3.1.3",
"detective": "^5.2.0", "detective": "^5.2.0",
"didyoumean": "^1.2.1", "didyoumean": "^1.2.1",
"dlv": "^1.1.3",
"fast-glob": "^3.2.5",
"fs-extra": "^9.1.0", "fs-extra": "^9.1.0",
"html-tags": "^3.1.0", "html-tags": "^3.1.0",
"lodash": "^4.17.21", "lodash": "^4.17.21",
"lodash.topath": "^4.5.2",
"modern-normalize": "^1.0.0", "modern-normalize": "^1.0.0",
"node-emoji": "^1.8.1", "node-emoji": "^1.8.1",
"normalize-path": "^3.0.0",
"object-hash": "^2.1.1", "object-hash": "^2.1.1",
"parse-glob": "^3.0.4",
"postcss-functions": "^3", "postcss-functions": "^3",
"postcss-js": "^3.0.3", "postcss-js": "^3.0.3",
"postcss-nested": "5.0.5", "postcss-nested": "^5.0.5",
"postcss-selector-parser": "^6.0.4", "postcss-selector-parser": "^6.0.4",
"postcss-value-parser": "^4.1.0", "postcss-value-parser": "^4.1.0",
"pretty-hrtime": "^1.0.3", "pretty-hrtime": "^1.0.3",
"quick-lru": "^5.1.1",
"reduce-css-calc": "^2.1.8", "reduce-css-calc": "^2.1.8",
"resolve": "^1.20.0" "resolve": "^1.20.0"
}, },

2
package.json
View File

@ -21,6 +21,6 @@
"devDependencies": { "devDependencies": {
"autoprefixer": "^10.0.4", "autoprefixer": "^10.0.4",
"postcss": "^8.1.10", "postcss": "^8.1.10",
"tailwindcss": "^2.1.1" "tailwindcss": "^2.0.4"
} }
} }

53
pages/distancesExample.json Normal file
View File

@ -0,0 +1,53 @@
[
{
"source": 3,
"target": 4,
"distance": 5
},
{
"source": 2,
"target": 3,
"distance": 4
},
{
"source": 0,
"target": 1,
"distance": 4
},
{
"source": 0,
"target": 2,
"distance": 5
},
{
"source": 1,
"target": 2,
"distance": 5
}
]

31
pages/index.js
View File

@ -3,9 +3,10 @@ import React, { useState } from "react";
import fs from 'fs'; import fs from 'fs';
import path from 'path'; import path from 'path';
import {DrawGraph} from '../lib/labeledgraph'; import {DrawGraph} from '../lib/labeledgraph';
import { SliderElement } from "../lib/slider.js"; import { SliderElement } from "../lib/slider";
import {DisplayElement} from '../lib/displayElement' import {DisplayElement} from '../lib/displayElement'
import {DisplayAsMarkdown} from '../lib/displayAsMarkdown' import {DisplayAsMarkdown} from '../lib/displayAsMarkdown'
import {CreateTableWithDistances} from '../lib/findPaths'
// Utilities // Utilities
@ -19,7 +20,7 @@ Array.prototype.containsArray = function(val) {
return hash.hasOwnProperty(val); return hash.hasOwnProperty(val);
} }
let checkIfListIsOrdered = (arr, binaryComparisons) => { let checkIfListIsOrdered = (arr, binaryComparisons) => { // list of ids
let l = arr.length let l = arr.length
let isOrdered = true let isOrdered = true
for(let i=0; i<l-1; i++){ for(let i=0; i<l-1; i++){
@ -62,8 +63,8 @@ export async function getStaticProps() {
// Main // Main
export default function Home({listOfPosts}) { export default function Home({listOfPosts}) {
// State // State
let list = increasingList(listOfPosts.length)//[1,2,3,4,5,6,7,8,9,10] let list = increasingList(listOfPosts.length)//[1,2,3,4,5,6,7,8,9,10] // listOfPosts.map(element => element.id)//
let referenceValueId = 1//listOfPosts.filter(post => post.isReferenceValue || false)[0].id
const [toComparePair, setToComparePair] = useState([list[list.length-2], list[list.length-1]]) const [toComparePair, setToComparePair] = useState([list[list.length-2], list[list.length-1]])
const [binaryComparisons, setBinaryComparisons] = useState([]) const [binaryComparisons, setBinaryComparisons] = useState([])
@ -185,19 +186,19 @@ export default function Home({listOfPosts}) {
className="flex m-auto border-gray-300 border-4 h-72 w-72" className="flex m-auto border-gray-300 border-4 h-72 w-72"
//onClick={() => nextStep(binaryComparisons, toComparePair[0], toComparePair[1])} //onClick={() => nextStep(binaryComparisons, toComparePair[0], toComparePair[1])}
> >
<p className="block m-auto text-center"> <div className="block m-auto text-center">
<DisplayElement element={listOfPosts[toComparePair[0]]}> <DisplayElement element={listOfPosts[toComparePair[0]]}>
</DisplayElement> </DisplayElement>
</p> </div>
</div> </div>
<div <div
className="flex m-auto border-gray-300 border-4 h-72 w-72 p-5" className="flex m-auto border-gray-300 border-4 h-72 w-72 p-5"
//onClick={() => nextStep(binaryComparisons, toComparePair[1], toComparePair[0])} //onClick={() => nextStep(binaryComparisons, toComparePair[1], toComparePair[0])}
> >
<p className="block m-auto text-center"> <div className="block m-auto text-center">
<DisplayElement element={listOfPosts[toComparePair[1]]}> <DisplayElement element={listOfPosts[toComparePair[1]]}>
</DisplayElement> </DisplayElement>
</p> </div>
</div> </div>
</div> </div>
<div className={`flex row-start-3 row-end-3 col-start-1 col-end-4 md:col-start-3 md:col-end-3 md:row-start-1 md:row-end-1 lg:col-start-3 lg:col-end-3 lg:row-start-1 lg:row-end-1 items-center justify-center mb-4 mt-10 ${isListOrdered? "hidden" : ""}`}> <div className={`flex row-start-3 row-end-3 col-start-1 col-end-4 md:col-start-3 md:col-end-3 md:row-start-1 md:row-end-1 lg:col-start-3 lg:col-end-3 lg:row-start-1 lg:row-end-1 items-center justify-center mb-4 mt-10 ${isListOrdered? "hidden" : ""}`}>
@ -220,7 +221,15 @@ export default function Home({listOfPosts}) {
list={orderedList} list={orderedList}
quantitativeComparisons={quantitativeComparisons}> quantitativeComparisons={quantitativeComparisons}>
</DrawGraph> </DrawGraph>
<div className={`inline items-center text-center mt-10 ${isListOrdered? "": "hidden" }`}>
<CreateTableWithDistances
isListOrdered={isListOrdered}
quantitativeComparisons={quantitativeComparisons}
listOfElements={orderedList.map(i => listOfPosts[i])}
referenceValueId={referenceValueId}
>
</CreateTableWithDistances>
</div>
</main> </main>
@ -232,9 +241,7 @@ export default function Home({listOfPosts}) {
<p>{`Quantitative comparisons: ${JSON.stringify(quantitativeComparisons, null, 4)}`}</p> <p>{`Quantitative comparisons: ${JSON.stringify(quantitativeComparisons, null, 4)}`}</p>
*/} */}
</div>
</div>
</div> </div>
) )
} }

48
pages/listOfPosts.json
View File

@ -1,72 +1,38 @@
[ [
{ {
"id": "0", "id": 0,
"name": "Relative Impact of the First 10 EA Forum Prize Winners", "name": "Relative Impact of the First 10 EA Forum Prize Winners",
"url": "https://forum.effectivealtruism.org/posts/pqphZhx2nJocGCpwc/relative-impact-of-the-first-10-ea-forum-prize-winners", "url": "https://forum.effectivealtruism.org/posts/pqphZhx2nJocGCpwc/relative-impact-of-the-first-10-ea-forum-prize-winners",
"author": "Nuño Sempere", "author": "Nuño Sempere",
"karma": 80 "karma": 80
}, },
{ {
"id": "1", "id": 1,
"name": "Introducing Metaforecast: A Forecast Aggregator and Search Tool", "name": "Introducing Metaforecast: A Forecast Aggregator and Search Tool",
"url": "https://forum.effectivealtruism.org/posts/tEo5oXeSNcB3sYr8m/introducing-metaforecast-a-forecast-aggregator-and-search", "url": "https://forum.effectivealtruism.org/posts/tEo5oXeSNcB3sYr8m/introducing-metaforecast-a-forecast-aggregator-and-search",
"author": "Nuño Sempere", "author": "Nuño Sempere",
"karma": 115 "karma": 115
}, },
{ {
"id": "2", "id": 2,
"name": "Forecasting Prize Results", "name": "Forecasting Prize Results",
"url": "https://forum.effectivealtruism.org/posts/8QFWHzmur4roAcnCf/forecasting-prize-results", "url": "https://forum.effectivealtruism.org/posts/8QFWHzmur4roAcnCf/forecasting-prize-results",
"author": "Nuño Sempere", "author": "Nuño Sempere",
"karma": 44 "karma": 44,
"isReferenceValue": true
}, },
{ {
"id": "3", "id": 3,
"name": "A Funnel for Cause Candidates", "name": "A Funnel for Cause Candidates",
"url": "https://forum.effectivealtruism.org/posts/iRA4Dd2bfX9nukSo3/a-funnel-for-cause-candidates", "url": "https://forum.effectivealtruism.org/posts/iRA4Dd2bfX9nukSo3/a-funnel-for-cause-candidates",
"author": "Nuño Sempere", "author": "Nuño Sempere",
"karma": 34 "karma": 34
}, },
{ {
"id": "4", "id": 4,
"name": "2020: Forecasting in Review", "name": "2020: Forecasting in Review",
"url": "https://forum.effectivealtruism.org/posts/8shCj2eoQygQvtoZP/2020-forecasting-in-review", "url": "https://forum.effectivealtruism.org/posts/8shCj2eoQygQvtoZP/2020-forecasting-in-review",
"author": "Nuño Sempere", "author": "Nuño Sempere",
"karma": 35 "karma": 35
},
{
"id": "5",
"name": "Big List of Cause Candidates",
"url": "https://forum.effectivealtruism.org/posts/SCqRu6shoa8ySvRAa/big-list-of-cause-candidates",
"author": "Nuño Sempere",
"karma": 182
},
{
"id": "6",
"name": "An experiment to evaluate the value of one researcher's work",
"url": "https://forum.effectivealtruism.org/posts/udGBF8YWshCKwRKTp/an-experiment-to-evaluate-the-value-of-one-researcher-s-work",
"author": "Nuño Sempere",
"karma": 55
},
{
"id": "7",
"name": "Predicting the Value of Small Altruistic Projects: A Proof of Concept Experiment",
"url": "https://forum.effectivealtruism.org/posts/qb56nicbnj9asSemx/predicting-the-value-of-small-altruistic-projects-a-proof-of",
"author": "Nuño Sempere",
"karma": 51
},
{
"id": "8",
"name": "Incentive Problems With Current Forecasting Competitions",
"url": "https://forum.effectivealtruism.org/posts/ztmBA8v6KvGChxw92/incentive-problems-with-current-forecasting-competitions",
"author": "Nuño Sempere",
"karma": 54
},
{
"id": "9",
"name": "Shapley Values: Better Than Counterfactuals",
"url": "https://forum.effectivealtruism.org/posts/XHZJ9i7QBtAJZ6byW/shapley-values-better-than-counterfactuals",
"author": "Nuño Sempere",
"karma": 92
} }
] ]

72
pages/listOfPosts_full.json Normal file
View File

@ -0,0 +1,72 @@
[
{
"id": "0",
"name": "Relative Impact of the First 10 EA Forum Prize Winners",
"url": "https://forum.effectivealtruism.org/posts/pqphZhx2nJocGCpwc/relative-impact-of-the-first-10-ea-forum-prize-winners",
"author": "Nuño Sempere",
"karma": 80
},
{
"id": "1",
"name": "Introducing Metaforecast: A Forecast Aggregator and Search Tool",
"url": "https://forum.effectivealtruism.org/posts/tEo5oXeSNcB3sYr8m/introducing-metaforecast-a-forecast-aggregator-and-search",
"author": "Nuño Sempere",
"karma": 115
},
{
"id": "2",
"name": "Forecasting Prize Results",
"url": "https://forum.effectivealtruism.org/posts/8QFWHzmur4roAcnCf/forecasting-prize-results",
"author": "Nuño Sempere",
"karma": 44
},
{
"id": "3",
"name": "A Funnel for Cause Candidates",
"url": "https://forum.effectivealtruism.org/posts/iRA4Dd2bfX9nukSo3/a-funnel-for-cause-candidates",
"author": "Nuño Sempere",
"karma": 34
},
{
"id": "4",
"name": "2020: Forecasting in Review",
"url": "https://forum.effectivealtruism.org/posts/8shCj2eoQygQvtoZP/2020-forecasting-in-review",
"author": "Nuño Sempere",
"karma": 35
},
{
"id": "5",
"name": "Big List of Cause Candidates",
"url": "https://forum.effectivealtruism.org/posts/SCqRu6shoa8ySvRAa/big-list-of-cause-candidates",
"author": "Nuño Sempere",
"karma": 182
},
{
"id": "6",
"name": "An experiment to evaluate the value of one researcher's work",
"url": "https://forum.effectivealtruism.org/posts/udGBF8YWshCKwRKTp/an-experiment-to-evaluate-the-value-of-one-researcher-s-work",
"author": "Nuño Sempere",
"karma": 55
},
{
"id": "7",
"name": "Predicting the Value of Small Altruistic Projects: A Proof of Concept Experiment",
"url": "https://forum.effectivealtruism.org/posts/qb56nicbnj9asSemx/predicting-the-value-of-small-altruistic-projects-a-proof-of",
"author": "Nuño Sempere",
"karma": 51
},
{
"id": "8",
"name": "Incentive Problems With Current Forecasting Competitions",
"url": "https://forum.effectivealtruism.org/posts/ztmBA8v6KvGChxw92/incentive-problems-with-current-forecasting-competitions",
"author": "Nuño Sempere",
"karma": 54
},
{
"id": "9",
"name": "Shapley Values: Better Than Counterfactuals",
"url": "https://forum.effectivealtruism.org/posts/XHZJ9i7QBtAJZ6byW/shapley-values-better-than-counterfactuals",
"author": "Nuño Sempere",
"karma": 92
}
]

4
styles/globals.css
View File

@ -45,4 +45,8 @@ p, ul {
ul { ul {
list-style-type: square; list-style-type: square;
margin-left: 20px; margin-left: 20px;
}
th, td {
font-size: 17px;
} }