Santosh Pathak

Ph.D., Agricultural Economics l @LSU Alum | RT≠Endorsement | All views personal | 🇳🇵🇺🇸

[Papo Econômico @opapoeconomico]

David Autor é o economista do trabalho mais citado do mundo. MIT. Ele e o Google fizeram algo raro: um experimento científico controlado (RCT) sobre IA no trabalho.

O que é RCT: você sorteia quem recebe o tratamento e quem não, compara os dois grupos, e mede a diferença. Padrão-ouro da ciência. Aqui o "tratamento" era uma IA pra redigir patentes.

133 advogados de 11 escritórios americanos, divididos por sorteio. 2/3 usaram IA por 3 meses, 1/3 não. Produção avaliada às cegas por outros advogados especializados.

Com IA ligada, todo mundo melhorou. Qualidade dos juniors subiu quase o triplo da dos seniors.

Aí tiraram a IA e pediram pra todos revisarem um documento sem nenhuma assistência. Seniors que tinham usado IA ficaram melhores que quem nunca usou (p = 0,02). Juniors? Ganho médio zero. As notas deles se bifurcaram: menos medíocres, mas mais ruins E mais bons ao mesmo tempo. Pra uns a IA acelerou aprendizado, pra outros substituiu.

O senior já tinha construído julgamento crítico ao longo de anos. Quando usava IA, conseguia avaliar as sugestões e internalizar padrões. O junior pulou essa construção. Delegou o raciocínio pra máquina. Enquanto tava ligada, funcionava. Desligou, ficou sem base.

Tipo calculadora: se você já sabe aritmética, ela te acelera. Se não sabe, você não funciona sem ela.

Expertise prévia é pré-requisito pra extrair aprendizado durável de IA. Quem mais se beneficiou foi quem menos aprendeu.

fonte: NBER Working Paper 35720, Autor et al. (set/2026)

[Santosh Pathak @pathak_san2]

देशको कठिनतम घडीमा नेतृत्वको बागडोर सम्हालेर नेपाली जनताको आवाजलाई मतमा व्यक्त गर्ने यो दिन सार्थक बनाइदिनुभएको सम्माननीय प्रधानमन्त्री सुशिला कार्कीलाई हार्दिक आभार, आदर एवं सम्मान ! तपाईंको यो कार्यकाललाई देशले संधै सम्झिरहने छ । 🙏🙏🙏

[Santosh Pathak @pathak_san2]

“The Glass Cliff Theory” अनुसार संकटको समयमा पितृसत्तात्मक संस्थाहरूले महिलालाई नेतृत्वमा अगाडि सार्ने गर्छन् ताकि जोखिमको घडीले ल्याउने सम्भावित असफलताको जिम्मेवारीबाट पुरुषहरू टाढा बस्न सकून् ।

[Santosh Pathak @pathak_san2]

तर, यिनै चुनौतीपूर्ण क्षणहरूमा महिलाहरूले असाधारण नेतृत्व प्रदर्शन गर्दै संकटलाई समाधानतर्फ डोर्‍याएका प्रेरणादायी उदाहरणहरू कम छैनन् ।

[Ben Moll @ben_moll]

Every journal editor should read this:

https://t.co/cGstyJOa3m

[Brad Stulberg @BStulberg]

A massive new study on peak performance included 34,000 international top performers: Nobel laureates, renowned classical music composers, Olympic champs, and the world’s best chess players. It shows early specialization is a trap, and the road to greatness is long and varied.

[Santosh Pathak @pathak_san2]

Wonderful resource for anyone interested in intermediate macro.

[Jon Steinsson @JonSteinsson]

I have posted the slides for my undergrad intermediate macroeconomics class on my webpage:

https://t.co/mXaqbN7RaJ

Hopefully some will find these useful. 1/n

[Massimo @Rainmaker1973]

This periodic table by designer Keith Enevoldsen puts the elements in the context of their uses

[source, ri-res and pdf: https://t.co/5iiGUXaBla]

[Yohan @yohaniddawela]

One of the biggest traps in geospatial analysis?

Ecological Fallacy.

It can turn a map into a misleading story.

Here's what you need to know about it:

[Santosh Pathak @pathak_san2]

“Data is (not) available upon request!” 🤣

[John B. Holbein @JohnHolbein1]

“Among articles stating that data was available upon request, only 17% shared data upon request.”

[Yiqing Xu @xuyiqing]

We streamlined six new DID-like estimators and created this tutorial for implementation in R.
https://t.co/54xluMPWRF

Hope you no longer need to spend months figuring out what these estimators are and how to use them.

w/ @liuziyi233

[Yohan @yohaniddawela]

Did you know we can access 𝙙𝙖𝙞𝙡𝙮 geospatial climate projections up until 1 Jan 2100?

It covers projections for:
• temperatures
• precipitation
• snowfall

Plus it's completely free.

Here's what you need to know about it:

[Santosh Pathak @pathak_san2]

Wonderful opportunity for researchers.
#causalinference

[Jennifer Doleac @jenniferdoleac]

Are you a researcher looking to improve your causal inference skills?

I'm excited to announce that the CJ team @Arnold_Ventures is hosting 3 causal inference workshops this fall!

Two are the day before ASC (Nov 12 in San Francisco), and one is the day before APPAM (Nov 20 just outside DC). We will cover all workshop costs, including participants' travel.

** The deadline to sign up is September 25th. **

Huge thanks to @instrumenthull, @jmwooldridge, and @EricChyn for teaching these courses. 🎉

Each section is capped at 40 people, to ensure a great learning environment. If we receive more interest than that, participants will be chosen via a fair lottery.

Please spread the word!

More info and the link to sign up are here: https://t.co/FiAPA0YJ3l

[Chandan Sapkota @csapkota]

All of economics is a behavioural science. The difference is whether you think the behaviour is irrational or rational.

https://t.co/pW5eAo51ip via @FT

[Kweku Opoku-Agyemang, Ph.D @KwekuOA]

Python materials for economists, this time with the datasets to accompany the slides: https://t.co/DSxBIxziYo

Slides: https://t.co/C9pNxxvi8C
Datasets: https://t.co/lN84D2iaFL

[Michael Clemens @m_clem]

Is a student or colleague of yours approaching @Stata for the first time, and in need of a clear, concise, free introduction-from-zero?

I was impressed by the quality "Stata Training" by @GaudenziGaia of @BeckerFriedman —>

https://t.co/gI2S1mVV5l

[Santosh Pathak @pathak_san2]

@WokilBam21 Congratulations @WokilBam21 dai.

[Syed Badruddoza @BadruddozaSyed]

What can you do with a degree in #AgEcon from Agricultural & Applied Economics? Check out this word cloud I made showcasing the varied careers our graduates thrive in! #TTU #DavisCollege #agriculture #economics #agribusiness

[Santosh Pathak @pathak_san2]

@SandeepTweetR @missourivalley Congratulations @SandeepTweetR dai.

[Santosh Pathak @pathak_san2]

🫣