Talks
Videos, podcasts, blogs, and books for tech economists.
Platform Economics
2 videos
Tech Interviews
4 videos
Pat Bajari: Building applied analytics at Amazon
Keystone interview. How Amazon's Chief Scientist built applied research from scratch with 400+ PhD researchers.
Daron Acemoglu on AI (Capitalism and Freedom)
MIT economist Daron Acemoglu discusses AI's impact on labor markets, inequality, and economic growth on the Capitalism and Freedom podcast.
Richmond Fed Interview with Anton Korinek
Econ Focus interview on generative AI for economic research, use cases, and implications for the profession.
Jean Tirole: Richmond Fed Interview
Deep dive into pricing on both sides of platforms and the economics of 'free' services.
Industry Perspectives
1 videosCareer Advice
2 videos
Jonathan.Interviews: Data Science Careers & Causal Inference
Senior data scientist with causal inference expertise. Practical tutorials on synthetic controls, event studies, Marketing Mix Models (Google Meridian), and data science career advice.
Susan Athey: applied researchers Wanted
AEA Research Highlights. Why companies like Airbnb need researchers to solve marketplace design problems.
Auction Design in Practice
4 videos
Hal Varian: Googlenomics Long-read Q&A (AEI)
In-depth AEI interview covering the Varian Rule for tech adoption, second-price auctions, and YouTube's 500M daily how-to video views.
Hal Varian: Doing Economics at Google
CEPR interview on search dynamics, ad auctions, and forecasting with Google Trends.
Preston McAfee: Auction Design & applied analytics
Deep career retrospective: Yahoo to Microsoft to Google. 'The major change is the relevance of microeconomics... When I joined Yahoo, that was still fairly fragile.'
Alexey Stysin: Auction Mechanism Design
Data Science Tech Lead at Topsort, former Yandex. 7+ years building VCG auctions, ML for click prediction, and revenue optimization for search ads.
Causal Inference
3 videos
Sean Taylor: When Do We Need Causal Inference?
Former Lyft/Facebook DS lead. This talk saves you from over-engineering. Know when correlation is enough.
Aryma Labs
Data Science firm specializing in Marketing analytics. Features 'The Casual Causal Talk' series with causal inference experts (Matheus Facure, Stephan Kolassa) and 'The Marketing Mix - Unmixed' series on Marketing Mix Modeling.
Steve Tadelis: Causal Inference in Tech
UC Berkeley / ex-eBay. Deep dive into causal inference methods used in tech companies.
Auctions & Pricing
5 videos
John List: Market Design in Ride-Sharing
How ride-sharing platforms design markets for drivers and riders. Insights from Uber and Lyft.
Hal Varian: Chief Scientist at Google
Room for Discussion. Why every company needs a chief scientist for forecasting, pricing, and market design.
ML for Pricing & Auctions (ICML)
Design the mechanism, don't just bid in it. RegretNet and deep learning for auction design.
Nikhil Devanur: Lagrangian Duality in Mechanism Design
Microsoft Research. How to design revenue-maximizing auctions using duality — simple auctions, budget smoothing, and optimal mechanisms.
Alvin Roth: Google Tech Talk on Matching
Nobel laureate on matching markets. Directly applicable to marketplace platforms.
AI & Economics
2 videos
Regulation & Antitrust
3 videosFiona Scott Morton: Tech Antitrust Testimony
Yale, former DOJ Chief Scientist. C-SPAN congressional testimony and Digital Markets Act analysis.
Tim Wu: The Age of Extraction
Columbia, former Biden Administration. Brookings TechTank on platform extraction and antitrust history.
Jean Tirole: Platform Regulation
NBER 2022 keynote on why traditional antitrust fails for digital platforms and the EU Digital Markets Act.
AI Productivity & Macro
1 videosMarketplace Theory
1 videos
Nobel Lectures
4 videos
Jean Tirole: Nobel Lecture 2014
Co-founder of two-sided market theory. Explains platform pricing and why traditional antitrust fails for digital markets.
Alvin Roth: Nobel Lecture 2012
Market design and matching markets. Directly relevant for researchers at Airbnb, Uber, and similar platforms.
Guido Imbens: Nobel Lecture 2021
Stanford, Nobel Laureate. The authoritative overview connecting the credibility revolution to modern instrumental variables and regression discontinuity.
Paul Milgrom: Nobel Lecture 2020
Auction Research Evolving. Traces development from theoretical foundations through FCC spectrum auctions to internet advertising.
A/B Testing at Scale
4 videosRonny Kohavi: Experimentation Wisdom
The godfather of online experimentation. Decades of A/B testing wisdom from Microsoft and Amazon.
MIT CODE: Conference on Digital Experimentation
Talks from Meta, Google, Airbnb, Netflix researchers on A/B testing at scale and experimentation platforms.
课代表立正 (Yuzheng Sun)
Ex-Statsig Evangelist, ex-Tencent VP, PhD Cornell. Chinese-language content on data science, growth, A/B testing, and AI. 300K+ followers. Interviews top AI experts.
MIT IDE YouTube Channel
CODE@MIT conference talks on digital experimentation. Features leading researchers and practitioners discussing cutting-edge experimentation methods.
Antitrust
1 videos
Ads & Pricing
3 videos
Hal Varian: How the Google Ad Auction Works
Google's Chief Economist explains the mechanics of the AdWords auction, Ad Rank, Quality Score, and how second-price auctions determine what advertisers pay.
Susan Athey: Machine Learning and Causal Inference
NBER Methods Lecture covering causal forests, heterogeneous treatment effects, and applications to digital advertising measurement and A/B testing.
Peter Frazier: Signaling with Surge Pricing (Simons 2018)
Natural experiment from surge heatmap outage proving 10-60% of driver repositioning comes from surge visibility. Foundational work on information design in marketplaces.
Customer Analytics
2 videos
Peter Fader: The Customer Isn't Always Right, But Some Customers Are Better Than Others
TEDxPenn talk where Wharton professor Peter Fader challenges the 'customer is always right' mantra and makes the case for customer centricity based on customer lifetime value.
Eva Ascarza: Retention Futility - Why Targeting High-Risk Customers Might Be Ineffective
MSI presentation challenging conventional wisdom on churn targeting. Shows why high-risk customers are often the wrong targets for retention programs—persuadability matters more than risk.
Chief Economists in Tech
1 videos
Tech Industry
1 videosOperations Research
1 videos
Causal ML
4 videos
Susan Athey: Economics & AI
Stanford GSB Fireside Chat on the intersection of economics and artificial intelligence.
Susan Athey: Machine Learning and Causal Inference (NBER Methods Lecture 2015)
Seminal talk from John Bates Clark Medal winner bridging ML and causal inference. Covers causal trees, CATE estimation, transformed outcomes. Foundational despite being from 2015.
Susan Athey: Machine Learning Methods for Causal Inference (NBER)
NBER Summer Institute lecture on bandits, policy learning, and causal ML methods. Comprehensive overview of modern causal ML tools.
Victor Chernozhukov: Double/Debiased ML
MIT. The foundational Double ML methodology for high-dimensional causal inference. BFI presentation with accompanying DoubleML package.
Bayesian Methods
1 videos
Causal Methods
3 videos
NBER: Methods Lectures & Feldstein Lectures
National Bureau of Economic Research. Methods lectures on causal inference (synthetic controls, RDD, DiD), Feldstein Lectures featuring Ben Bernanke, Gita Gopinath, and more.
Online Causal Inference Seminar
Regular international causal inference research seminar. Features Susan Athey on Synthetic DiD, Jakob Runge on Tigramite, and leading researchers on cutting-edge methods.
Brady Neal: Causal Inference Course
Comprehensive causal inference video course. 16K subscribers. Guest lectures from Susan Athey, Alberto Abadie (Synthetic Controls), and Yoshua Bengio.
Causal ML Methods
1 videos
ML Competitions
1 videosExperimentation Platforms
1 videos
Popular Economics Podcasts
7 podcasts
Hal Varian: Conversations with Tyler
Episode 69. Google's shift from second-price to first-price auctions, quality scores, price discrimination, and nowcasting.
Odd Lots (Bloomberg)
Joe Weisenthal and Tracy Alloway. Finance, markets, and economics. Strong coverage of monetary policy and macro trends. 10+ years running.
Freakonomics Radio
Economics applied to everything. Great for economic intuition and learning to communicate data insights.
Conversations with Tyler
Tyler Cowen's long-form interviews. applied analytics episodes with Hal Varian, Marc Andreessen, and more.
EconTalk
Russ Roberts. The gold standard for long-form economic interviews. John List, Hal Varian, and more.
Steve Tadelis: Does Advertising Actually Work? (Freakonomics)
Groundbreaking eBay research: 'they're losing more than 60 cents on every dollar' in paid search. Ep. 441.
Planet Money (NPR)
Sarah Gonzalez, Kenny Malone, Jeff Guo. Peabody Award-winning economic storytelling. Used in undergraduate economics courses.
Susan Athey Work
3 podcasts
Susan Athey: applied researchers & Causation
World of DaaS podcast. How she 'invented' the applied researcher role at Microsoft. The difference between prediction and 'what if' questions.
Susan Athey: The Mixtape Podcast
Career journey from academia to pioneering the applied researcher role at Microsoft. With Scott Cunningham.
Susan Athey: Women in Data Science Podcast
Athey on bringing an economist's perspective to data science, setting up experiments before revenue, and her pioneering role at Microsoft.
AI Research
6 podcasts
Sendhil Mullainathan: Before AGI Podcast
MIT. Journey from behavioral economics to AI, algorithmic bias mitigation.
Data Skeptic
Kyle Polich. Critical thinking approach to data science and ML. Organized in thematic seasons. Recommender Systems season in 2025.
Best AI Papers Explained (Enoch Kang)
Bi-daily podcast breaking down the most important AI research papers. Covers RL, LLMs, causal inference, model interpretability, and cutting-edge ML. Hosted by UW researcher Enoch H. Kang (PhD, AI/RL/Causal ML for Marketing).
DataFramed (DataCamp)
Adel Nehme and Richie Cotton. How AI and data change business. Guests: Emily Oster (Brown), Bilal Mahmoud (Duolingo, MIT Econ PhD) on A/B testing at scale.
TWIML AI
Sam Charrington. ML/AI research and applications. Susan Athey on ML in economics. Covers ML platforms at Netflix, Uber, Meta. Nearly 10M downloads.
Data Skeptic Podcast
Long-running podcast covering data science, machine learning, and causal inference topics. Accessible explanations of technical concepts.
Field Experiments
3 podcastsJohn List: Scale, Uber & The Voltage Effect
EconTalk. Former Chief Scientist at Uber and Lyft shares war stories on field experiments and driver incentives.
John List: Scaling Proven Ideas
How to scale ideas at Uber, Lyft, and Walmart. Why most interventions fail when you try to grow them.
John List: Big Brains UChicago Podcast
How field experiments revolutionized economics. University of Chicago podcast on List's pioneering methodology.
Career Advice
2 podcasts
Super Data Science
Jon Krohn. ML, AI, and data careers. 900+ episodes. Notable: Sean Taylor (Facebook/Lyft) on causal experimentation, Emre Kiciman (Microsoft) on DoWhy.
Pitching the AI Startup (Enoch Kang)
Weekly podcast dissecting pitch decks, business models, and technology of innovative AI startups. Master the art and science behind the AI startup. Hosted by UW researcher Enoch H. Kang.
Tech Interviews
1 podcasts
Causal Podcasts
3 podcasts
The Mixtape with Scott Cunningham
Scott Cunningham's podcast featuring interviews with leading causal inference researchers. Bridges academic methods and practical application for marketing measurement.
Casual Inference Podcast
Lucy D'Agostino McGowan & Ellie Murray. Highly technical discussions on A/B testing, DAGs, and causal methods.
Causal Bandits Podcast
Premier podcast for deep causal inference content. Notable guests include Judea Pearl, Bernhard Schölkopf, and Amit Sharma. Covers causal AI, discovery, and Do-Calculus.
AI Productivity & Macro
4 podcasts
Erik Brynjolfsson: Lex Fridman Podcast
Second Machine Age thesis. Which jobs are safe from automation and dangers of the Turing Trap.
Erik Brynjolfsson: AI and the Economy
Stanford Digital Economy Lab. HBS Managing the Future of Work on J-curve of AI productivity and 14-35% productivity gains from AI.
Hal Varian: Future of Work (Oxford)
Oxford podcast on automation, AI, and labor markets. Varian shares optimism that machines will fill jobs from retiring baby boomers.
HBS Managing the Future of Work
Bill Kerr, Joe Fuller. Erik Brynjolfsson on AI, gig economy series, and future of employment.
Pricing Strategy
5 podcasts
The Brainy Business
Melina Palmer. Applying behavioral economics to marketing and business decisions. 500+ episodes on nudges, framing, and behavioral interventions.
Retail Pricing Insights
7Learnings. ML-driven pricing for retail. Guests from MediaMarkt Saturn, Deliveroo, and major retailers.
Impact Pricing
Mark Stiving, Ph.D. Pricing strategy, analytics, and revenue optimization. B2B focus with behavioral pricing insights. Weekly episodes.
Pricing Heroes
Competera. AI-driven retail pricing optimization, dynamic pricing, and competitive pricing strategies. Guests from major retailers.
a16z Podcast: Pricing, Pricing, Pricing
Martin Casado and Mark Cranney on why pricing is 'the single decision that impacts valuation most'. Practical pricing strategy for startups.
Experimentation Platforms
3 podcasts
Experimentation Masters
Gavin Bryant (First Principles Ventures). Product experimentation at major tech companies. Guests: Lukas Vermeer (Booking.com), Aleksander Fabijan (Microsoft), Michael Luca (HBS).
Experiment Nation
Rommil Santiago (Optimizely). Conversion rate optimization and experimentation. 171+ episodes, top 10% most-followed on Spotify.
Data Engineering Podcast: Experimentation with Eppo
Chetan Sharma (Eppo founder) discusses platform architecture and modern data stack integration for experimentation. Deep dive into building experimentation infrastructure.
Labor Market Data
5 podcasts
Svenja Gudell: Inside the Indeed Hiring Lab (RecruitingDaily)
Indeed Chief Economist on their research methodology and labor market insights.
Pawel Adrjan: Understanding Indeed Hiring Lab (Here to Help)
Indeed CEO podcast on the Hiring Lab's role in understanding labor market trends.
Guy Berger: The Great Stay Economy (Top of Mind)
Former LinkedIn economist on why workers are staying put and what it means for labor markets.
Karin Kimbrough: Skills as Global Workforce Currency
Microsoft Public Sector Future podcast on skills-based hiring and workforce transformation.
Karin Kimbrough: Work Trends to Watch (Microsoft WorkLab)
LinkedIn Chief Economist on hiring trends, skills evolution, and the future of work.
AI Job Impact
2 podcasts
Labor Economics
1 podcastsApplied Statistics
2 podcasts
Not So Standard Deviations
Roger Peng (UT Austin) and Hilary Parker (Stitch Fix, Etsy). Statistics and data science bridging academia and industry. On indefinite hiatus (May 2025). 190 episode archive.
Simply Statistics Podcast
Jeff Leek, Roger Peng, and Rafa Irizarry from Johns Hopkins discussing data science, reproducibility, and statistics in the news.
Marketing Science
3 podcasts
How I Wrote This
Marketing professors Brett Gordon and Karen Winterich interview authors of academic marketing papers to get the backstory of how their papers came to be. Topics include customer valuation, pricing, misinformation, and more.
Mobile Dev Memo Podcast
Eric Seufert's podcast featuring top academics like Julian Runge and Koen Pauwels bridging research and practice in mobile marketing measurement.
Marketing BS Podcast
Edward Nevraumont and Peter Fader analyzing marketing news through a customer-centric lens. Strategic CMO-level thinking on measurement, personalization, and attribution.
Gig Economy
6 podcasts
DoorDash Deep Dive (Acquired)
Comprehensive episode on DoorDash unit economics, three-sided marketplace dynamics, and difference from Uber Eats/Grubhub.
John List: The Price of Doing Business (Freakonomics)
Freakonomics People I Mostly Admire episode on pricing, experimentation, and lessons from chief economist roles.
John List: Macro Hive Podcast
1h 42min on insights from Uber, paying bonuses, and scaling ideas. Deep technical discussion on experimentation.
John List: Tim Ferriss Show #566
2h 26min deep-dive: strategic quitting, Uber learnings, the voltage effect. One of the most comprehensive tech economist interviews.
John List: Voltage Effect and Life at Uber/Lyft/Walmart
Sports podcast crossover discussing applying behavioral economics and scaling insights across gig economy companies.
NPR Delivery Wars: Cost of Convenience
NPR/Land of the Giants mini-series examining delivery economics and gig worker conditions.
Operations Research
4 podcastsResoundingly Human (INFORMS)
Official INFORMS podcast covering enterprise implementation stories and interviews with analytics leaders. Features UPS Head of Innovation on optimization at scale.
The Optimization Catalyst (Princeton Consultants)
Podcast covering enterprise optimization implementation from Princeton Consultants. Features interviews on scheduling, routing, and supply chain optimization.
Rob Axtell: The Tipping Point for Agent-Based Modeling
Flux Podcast interview with Rob Axtell on the evolution of ABM, its applications in economics and social science, and practical advice for modelers.
Subject to Podcast
Monthly interviews with OR researchers hosted by Anand Subramanian. Features international perspective on combinatorial optimization and logistics research.
Research Commentary
4 podcasts
The Pie (UChicago)
Becker Friedman Institute. Cutting-edge research on industrial organization, platforms, and competition economics with top Chicago economists.
The Visible Hand
Jordi Blanes i Vidal (LSE). Deep dives into academic papers in organizational and labor economics. Walks through empirical methodology in detail. 100+ episodes.
Economics, Applied (Hoover)
Steven J. Davis (Stanford, Economic Policy Uncertainty index). Translating research into actionable insights. Guests: Claudia Goldin, Austan Goolsbee.
Macro Musings
David Beckworth (Mercatus Center). Macroeconomic issues with technical depth. Features central bankers and academic researchers. Includes transcripts.
Bayesian Methods
1 podcasts
Platform Strategy
4 podcasts
Paul Krugman & Erik Brynjolfsson: How Should We Think About the Economics of AI?
Nobel laureate Paul Krugman interviews Erik Brynjolfsson on AI's economic implications, productivity paradoxes, and future of work.
Exponent Podcast: Ben Thompson on Platforms
Ongoing podcast by Stratechery author Ben Thompson covering aggregation theory, platform strategy, and tech economics.
Steve Tadelis: Trust and Reputation in Game Theory (Game Changer)
Game theory podcast on trust mechanisms, reputation systems, and e-commerce platform design.
BG2Pod: Bill Gurley & Brad Gerstner
Ongoing podcast featuring Bill Gurley and Brad Gerstner discussing markets, tech investing, and platform economics.
Practical AI Workflows
2 podcasts
How I AI (Lenny's Podcast)
30-minute podcast where guests demo specific, practical AI workflows with live screen sharing. Actionable tips for using AI tools at work. Hosted by Claire Vo.
Freakonomics: Sendhil Mullainathan Messing Around
Sendhil Mullainathan on why 'messing around' and unstructured exploration leads to breakthrough insights in research and decision-making.
Ad Tech
2 podcastsHal Varian: Economics at Google
Conversations with Tyler podcast. Google's Chief Economist discusses auction design, advertising economics, machine learning in practice, and how economists work in tech companies.
Catherine Tucker: Digital Advertising and Privacy
MIT IDE podcast on how privacy regulations like GDPR and Apple ATT affect digital advertising effectiveness, targeting, and the economics of personal data.
Antitrust
1 podcastsML Engineering
2 podcasts
Matei Zaharia: Data Brew Podcast
Spark and MLflow creator discussing data infrastructure, ML lifecycle management, and the future of data platforms.
Practical AI
Daniel Whitenack and Chris Benson. Applied AI implementation with exceptional causal inference episodes. Episode 220 with Paul Hünermund on Double ML and DiD.
Marketplace Case Studies
3 podcasts
Acquired: The Uber IPO
Multi-hour unit economics analysis; surge pricing evolution. Deep-dive into Uber's business model and marketplace dynamics.
How I Built This: Platform Stories
NPR podcast episodes featuring founders of platform businesses: Airbnb, DoorDash, Instacart, and more.
Acquired: Airbnb
Payment structure innovation; platform-favorable cashflow. How Airbnb built a marketplace that works financially.
Tech Industry
2 podcasts
Real Estate
3 podcasts
Taylor Marr: Have Airbnb Bans Backfired? (BiggerPockets)
Airbnb Senior Housing Economist on $80B local economic impact and why short-term rental bans don't improve affordability.
Skylar Olsen: How to Talk to Buyers and Sellers (RealTrending)
Zillow Chief Economist on communicating housing market dynamics to consumers.
Skylar Olsen: Mid-Year Economic Outlook (Weekly Seattle)
Seattle-focused podcast on housing market trends and economic forecasts.
Marketplace Theory
2 podcasts
Kyle Kretschman: Spotify's Business & Marketplace Economics
Everything Marketplaces group chat on Creator Economics, Personalization Economics, and building Spotify's economics discipline.
Lenny's Podcast: Ramesh Johari on Marketplace Lessons
Stanford professor and advisor to Uber, Airbnb, Bumble, Stripe. Marketplace lessons from advising the biggest platforms.
Sports Analytics
4 podcastsWharton Moneyball
Wharton Business School podcast applying economic and analytical thinking to sports, hosted by faculty and featuring team executives and researchers.
Expected Value
TruMedia Networks podcast covering sports analytics methodology, featuring practitioners from professional teams discussing real-world analytics applications.
Effectively Wild
FanGraphs' flagship baseball podcast covering sabermetrics, player analysis, and the intersection of baseball and data. The longest-running and most respected podcast in baseball analytics.
Open Source Sports
Carnegie Mellon podcast where researchers discuss their sports analytics papers and methodology, providing deep dives into the technical approaches behind published research.
Growth
2 podcastsLenny's Podcast
700,000+ subscribers. Product-led growth and marketing measurement conversations with practitioners from Airbnb, Uber, and leading consumer brands.
Sub Club Podcast (RevenueCat)
Weekly podcast featuring subscription app practitioners from Duolingo, Strava, Lose It!, and more sharing actual retention data and pricing strategies.
Marketplace Investing
5 podcastsa16z Podcast: The Marketplace Rules
Jeff Jordan (former OpenTable CEO) on trust management and community dynamics in marketplaces. Essential for marketplace builders.
Invest Like the Best: Marketplace Founders
Patrick O'Shaughnessy's podcast episodes featuring marketplace founders discussing unit economics and scaling.
NFX Podcast: Scott Cook on Network Effects
Intuit founder on how network effects saved eBay from Bezos; common two-sided marketplace mistakes. Lessons from a legendary entrepreneur.
Village Global Venture Stories: Marketplace Edition
VC podcast episodes on marketplace investing and platform dynamics from early-stage investor perspective.
a16z Marketplace Podcast: Business of Marketplaces
Andreessen Horowitz. VC perspective on marketplace economics, network effects, and market design. Prediction markets with Alex Tabarrok and Scott Duke Kominers.
Auction Design in Practice
1 podcasts
Creator Economy
2 podcasts
Causal ML in Tech
3 podcasts
TWIML: Causal Models at Lyft with Sean Taylor
Sean Taylor discusses how Lyft applies causal models in practice for experimentation, pricing, and driver incentives.
TWIML: Are LLMs Good at Causal Reasoning?
Robert Osazuwa Ness on evaluating large language models' ability to perform causal reasoning tasks and implications for AI.
TWIML: Causal Conceptions of Fairness
Discussion of how causal inference frameworks can help define and measure algorithmic fairness, with implications for ML systems.
Surge & Dynamic Pricing
2 podcastsNetwork Effects
2 podcastsGlen Weyl: Quadratic Voting and Funding (World of DaaS)
Reimagining democracy with quadratic funding mechanisms. SafeGraph podcast on innovative voting and public goods funding.
Glen Weyl: EconTalk on Antitrust and Radical Reform
Provocative discussion on rethinking capitalism, antitrust policy, and radical market reforms with Russ Roberts.
Market Design Theory
1 podcasts
Experimentation
5 bloggers
Emily Glassberg Sands
Head of Information at Stripe. Harvard Economics PhD, former Head of Data Science at Coursera. Teconomics Blog on applied causal inference in tech settings, A/B testing methodology.
MeasuringU
Survey science, conjoint analysis, and quantitative UX research. Statistical rigor for product research.
Sean J. Taylor
Ex-Lyft/Facebook DS lead. Co-creator of Prophet. Writes on causal inference in tech, experimentation, and 'when do we actually need causal inference?'
Yuzheng Sun (课代表立正)
Superlinear Academy founder. Ex-Statsig Evangelist, ex-Tencent VP, PhD Cornell. Growth analytics, A/B testing, and AI. Co-author 'Growth Data Analytics Playbook' (WSJ CIO Journal featured).
Alex Deng
Co-author 'Trustworthy Online Controlled Experiments'. Deep A/B testing statistics — variance reduction, sequential testing, stopping rules without p-hacking.
Causal Inference
11 bloggers
Apoorva Lal
Amazon/Netflix researcher. Causal inference notes, pyfixest maintainer, clean Python implementations of econometric methods.
Francis DiTraglia
Oxford econometrician. Frank, educational posts on statistical pitfalls, instrumental variables, and how to read econometrics papers.
Aleksander Molak
Causal Discovery specialist. When you need to discover the causal graph from data (not assume it). DoWhy, CausalPy, and Bayesian networks.
Ellie Murray
Assistant Professor of Epidemiology at Boston University. Co-host of Casual Inference podcast. Causal inference methodology for evidence-based decision-making with accessible explainers.
Carlos Fernández-Loría
Assistant Professor at HKUST Business School; PhD from NYU Stern. Counterfactual explanations for AI systems, causal post-processing of predictive models. Published in MIS Quarterly on explainable AI.
Nick Huntington-Klein
'The Effect' author. Animated causal inference plots, Library of Statistical Techniques founder.
Lucy D'Agostino McGowan
Associate Professor of Statistical Sciences at Wake Forest. Co-host of Casual Inference podcast. Causal inference education, analytic design theory. Created 'causal quartets' demonstrating causal mechanisms.
Matteo Courthoud
Zalando Applied Scientist. Weekly posts on causal inference with code — CUPED, causal forests, AIPW, and more.
Economics & Research
10 bloggers
Jed Kolko
Senior Fellow at Peterson Institute; Senior Advisor at JPMC Institute. Former Chief Economist at Indeed and Trulia. Labor market analytics, housing economics, and economic data interpretation.
Marginal Revolution (Tyler Cowen)
The econ blog. Tech, innovation, markets — prolific, eclectic, and influential. A daily must-read.
Al Roth's Market Design Blog
Direct commentary from the architect of modern market design (Nobel 2012). Roth redesigned NRMP, co-founded kidney exchange programs, advised on school choice. Practitioner insights unavailable elsewhere.
Andrew Gelman
Columbia statistician. 20 years of blogging on Bayesian stats, causal inference, and social science methodology.
James Brand
Microsoft researcher. Demand estimation, cloud pricing, Julia packages for IO.
David McKenzie
World Bank researcher. Legendary methodology posts on randomization, power calculations, and missing data — directly applicable to A/B testing.
Marc Bellemare
'Metrics Monday archive. Applied econometrics advice on standard errors, weak instruments, and practical research design.
Arpit Gupta
Associate Professor of Finance at NYU Stern. Finance, real estate economics, housing affordability, and fintech analysis. Bridges academic research with accessible policy commentary.
Data Science & Analytics
10 bloggers
Massimiliano Costacurta
Data scientist specializing in reinforcement learning and pricing. Multi-armed bandits for dynamic pricing, contextual bandits for personalization. Detailed implementations with practical code.
Ken Acquah
Data scientist specializing in causal inference applications. Causal Flows substack covering propensity score methods, experimentation design, and building data-driven cultures. 1,000+ subscribers.
Vincent Arel-Bundock
Professor at Université de Montréal. Creator of the marginaleffects R/Python package. Causal inference including frontdoor adjustment, marginal effects interpretation. Author of 'Model to Meaning.'
Eugene Yan
Principal Applied Scientist at Amazon. RecSys, LLMs, and ML systems. Author of applied-llms.org and applyingml.com. Prolific writer on building ML products at scale.
Pranjal Rawat
applied researcher. Posts on applied research, causal inference, and data science in industry.
Michael Luca
Professor and Director of Technology and Society Initiative at Johns Hopkins Carey Business School. Platform design, online marketplace mechanisms, experimentation methodology. Co-authored 'The Power of Experiments.'
James LeDoux
Data Scientist (previously at MLB Advanced Media). Technical analysis of ad tech auction mechanisms. Collected 30,000+ Prebid.js auctions examining bidding patterns and monetization strategy.
Emily Riederer
Senior Manager, Data Science & Analytics at Capital One. Causal inference in industry settings, data quality frameworks, reproducible analytical workflows. rOpenSci Editorial Board member.
Machine Learning & AI
6 bloggers
Christoph Molnar
'Interpretable Machine Learning' author. Opens black-box models to understand feature importance (Shapley values) — the ML equivalent of regression coefficients.
Nathan Lambert
Interconnects. The primary chronicler of RLHF. RLHF as mechanism design for AI: eliciting preferences and training reward models.
Lilian Weng
Lil'Log. OpenAI Safety Systems lead. The single best technical summaries on DL, agents, and RL. Often cited as primary sources in papers.
Andrej Karpathy
Neural nets from scratch, LLMs as operating systems. Explains the intuition of optimization landscapes, not just how to write code.
Sebastian Raschka
Ahead of AI. PyTorch, LLM training, efficient finetuning (LoRA). Bridges academic papers and 'will this run on my GPU?' practicality.
Tor Lattimore
DeepMind. The definitive resource on bandit algorithms. Essential for pricing, dynamic allocation, and experimentation.
Platform Economics
4 bloggers
Kevin Kwok
Partner at Sutter Hill Ventures; formerly investor at Greylock Partners. Platform economics analysis, network effects mechanics, and growth loops. Famous essays include 'Why Figma Wins.'
Leo Saenger
Economist with hedge fund background focusing on commercial real estate and ML applications. Harvard economics. Market design, CRE dynamics, and macroeconomic forecasting evaluation.
Sangeet Paul Choudary
Founder of Platform Thinking Labs. Platform economics, network effects mechanics, BigTech competitive strategy. Author of 'Platform Revolution' and 'Platform Scale'. 40,000+ subscribers.
Stratechery (Ben Thompson)
The gold standard for tech strategy analysis. Aggregation theory, platform dynamics, and business model breakdowns.
Growth & Product
6 bloggers
Deepak Singh
Founder of pmcurve.com. Ex-Flipkart, Unacademy. Product management, growth, AI for PMs, and vibe-coding.
Casey Winters
Ex-Greylock, Pinterest, Eventbrite growth leader. Writes on AI, marketplaces, growth strategy, and product.
Lenny Rachitsky
Former Growth PM Lead at Airbnb (7 years). Marketplace economics, supply-demand dynamics, platform growth mechanics. Multi-part series on kickstarting and scaling marketplace businesses. 700,000+ subscribers.
Elena Verna
Head of Growth at Dropbox; formerly SVP Growth at SurveyMonkey, Miro, Amplitude. Monetization strategy, pricing optimization, and growth economics. Created Reforge's Monetization & Pricing course. 79,000+ subscribers.
Dan Hockenmaier
Head of Strategy and Analytics at Faire; formerly Director of Growth at Thumbtack. Marketplace strategy, pricing economics, growth modeling, and unit economics optimization. Reforge Partner.
Adam Fishman
Executive-in-Residence at Reforge; formerly CPO at Imperfect Foods, VP Product/Growth at Patreon and Lyft. Growth strategy, monetization friction analysis, and conversion optimization. 19,000+ subscribers.
AdTech
17 blogs
Google's CausalImpact Blog Post
Production-grade tool from Google's advertising team. Bayesian structural time-series approach with automatic variable selection and uncertainty quantification. Widely used for marketing impact analysis.
Lumen Research: Attention Metrics
Leading research on attention metrics as viewability's evolution. Research shows attention is 3x better at predicting outcomes than viewability.
Remerge Findings: Incrementality Testing Approaches
Technical breakdowns of incrementality testing methods from a DSP perspective. Covers intent-to-treat, PSA, ghost ads, and ghost bids with clear pros and cons.
Juan Orduz: Bayesian Marketing Methods
Principal Data Scientist at PyMC Labs with PhD in Mathematics. 50+ deep technical posts on media effect estimation, adstock/saturation curves, CLV modeling, and synthetic controls.
Recast Blog: MMM Verification
Michael Kaminsky (former Director of Analytics at Harry's) on MMM verification, hypothesis testing, model falsifiability, and when MMM investment makes sense.
Mario Filho: Forecastegy
Kaggle Competitions Grandmaster (#12 globally) and former Lead Data Scientist at Upwork. Hands-on MMM implementation tutorials with real advertising data.
Branch Resources: Privacy-Centric Measurement
Deep linking and mobile attribution provider with excellent content on making sense of aggregate data and privacy-centric measurement approaches.
Mobile Dev Memo: Post-ATT Marketing Measurement
Eric Seufert's definitive voice on mobile marketing measurement. Weekly deep-dives on SKAdNetwork, iOS attribution challenges, and econometric marketing measurement.
E-commerce
7 blogs
Stitch Fix: Market Matching with CausalImpact
Industry application combining dynamic time warping with CausalImpact for marketing intervention analysis. Shows how synthetic control concepts are adapted for real business problems at scale.
Wayfair: Geo Experiments for Incrementality
Convex optimization for treatment assignment when simple randomization won't work. Covers synthetic control matching and practical constraints like maximum geo share limits.
Stitch Fix: Multi-Armed Bandits Experimentation Platform
Inside look at building bandit infrastructure. Covers Thompson Sampling convergence, deterministic allocation via hashing, and reward services architecture with feedback loop diagrams.
Stitch Fix Algorithms Blog
Demand forecasting, inventory optimization, and personalization. Unique blend of fashion retail + serious data science.
Booking.com: Increasing Power with CUPED
Production-ready Hive SQL and Spark/R implementations for big-data scale. Handles missing pre-experiment data gracefully with real A/B test case study showing faster significance achievement.
Amazon Science
Research from Amazon's scientists. Causal inference, supply chain optimization, pricing, and forecasting.
Walmart Global Tech
AI-driven retail tech, supply chain optimization, agentic AI, and developer experience. Posts on LLMs for product catalogs, delivery optimization, and cross-lingual search.
Marketplaces
36 blogs
Uber Engineering: Uplift Modeling for Multiple Treatments
Extending X-Learner and R-Learner to multiple treatments with cost optimization. Production system design for uplift models at scale with cost-aware treatment allocation.
Lyft Engineering
Rideshare economics, forecasting, and marketplace efficiency. Technical deep-dives on pricing, dispatch, and causal inference.
Lyft: Causal Forecasting at Lyft
Two-part series on DAG-based structural modeling and causal forecasting for marketplace decisions at Lyft.
Uber Engineering: Causal Inference at Uber
Real industry application showing how PhD-level methods translate to business problems. Covers propensity score matching at scale, RDD for dynamic pricing, and mediation modeling.
DoorDash: Switchback Tests Under Network Effects
Why traditional A/B tests fail in three-sided marketplaces and how switchback testing with region-time randomization solves interference. Uses 30-minute time windows.
Lyft: Experimentation in a Ridesharing Marketplace
Foundational article on SUTVA violations through potential outcomes framework. The bias-variance tradeoff table for randomization schemes (user to city level) is highly cited.
Afi Labs: Ride-Share Dispatch Algorithms
Complete worked examples for ride-share dispatch with full code. Explains why greedy nearest-driver matching fails compared to optimal trip chaining.
DoorDash: Building a Successful Three-Sided Marketplace
DoorDash engineering explains the unique challenges of balancing three sides: merchants, dashers, and consumers in their delivery marketplace.
Research & Academia
14 blogs
Matteo Courthoud's Experimentation Series
Connects experimentation to econometric foundations. Covers CUPED (linking to DiD), group sequential testing, Bayesian A/B testing, and clustered standard errors. Every post includes complete Python code.
Adam Kelleher: Causal Data Science Medium Series
Former BuzzFeed data scientist's accessible series on graphical causal inference. 'If Correlation Doesn't Imply Causation, Then What Does?' and more.
Dario Sansone's ML Resources for Economists
Curated collection of machine learning resources specifically for economists including papers, code, and tutorials.
Evan Miller: How Not To Run an A/B Test
The 250,000+ view article that shaped industry thinking on peeking problems. Essential reading on why continuously monitoring A/B tests leads to false positives.
Evan Miller: Formulas for Bayesian A/B Testing
Mathematical foundations for Bayesian approaches to A/B testing. Derivations of exact formulas for posterior probabilities and expected loss.
Energy Institute at Haas Blog
UC Berkeley's Energy Institute blog featuring accessible research summaries on electricity markets, climate policy, and transportation. Written by leading energy economists.
Energy Institute at Haas Blog
Berkeley research blog covering energy economics, climate policy, and electricity markets with accessible analysis
Freakonometrics Blog
Arthur Charpentier's blog covering actuarial science, machine learning, and R programming. Rich tutorials on insurance pricing, claims modeling, and statistical methods.
Streaming
12 blogsNetflix: A Survey of Causal Inference Applications
Comprehensive overview of how Netflix applies causal inference across experimentation, personalization, and content decisions at scale.
Netflix: Sequential A/B Testing Keeps the World Streaming
Anytime-valid inference at production scale. Real case study: detecting play-delay issues that would have prevented 60% of devices from streaming. Covers time-uniform confidence bands.
Netflix: Sequential A/B Testing Keeps the World Streaming
Two-part series on anytime-valid inference and sequential testing for Netflix canary deployments.
Netflix Tech Blog: What is an A/B Test?
Multi-part series covering metric selection, sequential testing at scale, quasi-experimentation when SUTVA is violated, and interleaving for recommendation testing. Published at KDD.
Netflix Technology Blog: Recommendation Systems
How Netflix Prize pioneers continue innovating. Foundation models with transformers, multi-task learning across surfaces, RecSysOps for production monitoring at 200M+ user scale. Lessons unavailable elsewhere.
Netflix: Computational Causal Inference
Technical deep-dive into Netflix's causal inference infrastructure, software tools, and scalable computation approaches for causal analysis.
Netflix: Page Simulator for Better Offline Metrics
Netflix Tech Blog on using simulation to test homepage recommendations before running A/B tests.
Spotify: Choosing a Sequential Testing Framework
The definitive industry comparison of five frameworks: GST, mSPRT, GAVI, Corrected-Alpha, Bonferroni. Monte Carlo simulations comparing power. Maps methods to companies: GST (Spotify), mSPRT (Optimizely, Uber, Netflix).
Social Media
9 blogs
Meta Engineering - Data Science
Large-scale experimentation, ML infrastructure, and data discovery at Facebook scale. Posts on causal inference and data tools.
Meta: Instagram Notification Management with ML and Causal Inference
How Instagram uses ML and causal methods to optimize notification delivery, balancing engagement with user experience.
Dean Eckles: Blog on Network Experiments and Social Influence
MIT professor and former Facebook data scientist. Deep expertise in network experiments, social influence, and randomization at Facebook scale.
LinkedIn: AI Behind Recruiter Search
Enterprise-scale search: multi-layer ranking (L1 retrieval → L2 ranking), evolution from linear to GBDT to neural, GLMix personalization. Among the largest learning-to-rank systems in production.
LinkedIn Engineering
Professional network data science, feed ranking, economic graph insights. ML and economics at scale.
Eugene Wei: Seeing Like an Algorithm (TikTok)
Deep analysis of TikTok's success through algorithmic content discovery. Explains why TikTok's approach differs from social graph-based networks.
LinkedIn Engineering: Marketplace Optimization
How LinkedIn optimizes their talent marketplace to match candidates with opportunities while balancing multiple stakeholder interests.
Eugene Wei: Invisible Asymptotes
Former Amazon exec explains how to identify hidden growth ceilings. Uses Amazon examples to show how companies can spot and overcome invisible constraints.
Operations Research
16 blogs
Tallys Yunes: OR by the Beach
Associate Professor at University of Miami focusing on making optimization accessible. Downloadable 'Optimization Games for the Young' and everyday optimization examples.
Erwin Kalvelagen: Yet Another Math Programming Consultant
Decades of practical modeling wisdom from a GAMS/AMPL/CPLEX consultant. Large sparse transportation models, MINLP formulations, solver tuning tricks, and creative problems like Wordle optimization.
Nathan Brixius: ML + Optimization
Former Microsoft Solver Foundation developer bridging optimization and machine learning. Posts on chaining ML and optimization models, solving historical IP problems with modern solvers.
Alain Chabrier: Column Generation with CPLEX
Former IBM Decision Optimization Senior Technical Staff Member. Authoritative content on column generation with docplex/CPLEX. His PhD solved 17 previously open Solomon VRP benchmark instances.
Ryan O'Neil: Real-Time Optimization
Co-founder of Nextmv, PhD from George Mason under Karla Hoffman. Writes about real-time optimization for delivery platforms, hybrid optimization and decision diagrams.
SolverMax: Python OR Library Comparison
13-article series comparing Python OR libraries plus comprehensive directory of optimization blogs with summaries and notable posts.
Richard Oberdieck: Modern OR Software Engineering
Modern software engineering practices for optimization. Includes 'LLM-ify me - Optimization edition' exploring AI-OR integration and Python modeling patterns.
Timefold Blog
Founded by OptaPlanner creator Geoffrey De Smet (17+ years OR experience). Employee rostering, nurse scheduling, and constraint programming with Java/Kotlin/Python.
VC & Strategy
9 blogs
Byron Sharp: How Brands Grow
Ehrenberg-Bass Institute director and leading critic of marketing pseudoscience. Established empirical laws (Double Jeopardy, Duplication of Purchase) challenging myths about brand loyalty.
Stratechery Aggregation Theory
Most cited framework for understanding internet platform dominance. Zero distribution/marginal/transaction costs, aggregator virtuous cycle, winner-take-all dynamics, platform vs. aggregator distinction.
Sangeet Choudary: Platform Scale Blog
Blog from Platform Revolution co-author covering platform strategy, network effects, and the evolution of platform business models.
a16z: Measuring Network Effects
Quantitative measurement frameworks. Network effects vs. virality vs. scale, multi-tenanting impact, practical KPIs (DAU/MAU by density, organic vs. paid ratios, market-by-market unit economics).
Teresa Torres: Opportunity Solution Trees
Product discovery coach who has trained 17,000+ PMs. The Opportunity Solution Tree framework connects business outcomes → customer opportunities → solutions → experiments.
Bill Gurley: A Rake Too Far
Classic analysis of take rates in marketplaces. Explains why high take rates invite competition and examines optimal pricing strategies for platform businesses.
Bill Gurley: Going Direct
Examines how technology enables producers to bypass intermediaries. Analyzes disintermediation trends across industries from retail to entertainment.
Bill Gurley: In Defense of the Deck
Frameworks for pitch presentations and communicating marketplace value propositions to investors and stakeholders.
Creator Economy
4 blogsLi Jin: Unbundling Work
How platforms are unbundling traditional employment into discrete tasks. Examines implications for workers, platforms, and the economy.
Li Jin: Building for the Creator Middle Class
Argues that the next generation of creator platforms must serve the middle class of creators, not just superstars. Framework for building sustainable creator businesses.
Li Jin: 100 True Fans
Updates Kevin Kelly's 1000 True Fans theory for the creator economy. Argues that with higher monetization, creators can succeed with far fewer dedicated followers.
Li Jin: The Passion Economy and the Future of Work
Foundational essay on the passion economy. Explains how platforms enable individuals to monetize unique skills rather than commoditized labor.
Causal Inference
2 books
Auction Theory
2 books
Transportation Economics & Technology
6 books
AI & Machine Learning
4 books
Risk Modeling
2 books
Insurance & Actuarial
10 books
Loss Models: From Data to Decisions
Actuarial Mathematics for Life Contingent Risks
Regression Modeling with Actuarial and Financial Applications
Handbook of Insurance
Statistical Foundations of Actuarial Learning and its Applications
Computational Actuarial Science with R
Predictive Modeling Applications in Actuarial Science
The INSURTECH Book
Financial Economics of Insurance
Navigating Insurtech
Energy & Utilities Economics
5 books
Energy Economics
5 books
Defense Economics
3 books
Media Economics
1 books
MarTech & Customer Analytics
7 books
The Customer-Base Audit: The First Step on the Journey to Customer Centricity
Statistical Methods in Customer Relationship Management
Principles of Marketing Engineering and Analytics
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
Marketing Metrics: The Manager's Guide to Measuring Marketing Performance
Customer Centricity: Focus on the Right Customers for Strategic Advantage
The Customer Centricity Playbook
Machine Learning
3 books
Advertising & Attention
3 books
Pricing & Market Design
5 books
Ad Tech
1 books
Competition & Antitrust
3 books
Sports Economics & Analytics
8 books
Moneyball: The Art of Winning an Unfair Game
The Book: Playing the Percentages in Baseball
Sprawlball: A Visual Tour of the New Era of the NBA
Mathletics: How Gamblers, Managers, and Sports Enthusiasts Use Mathematics in Baseball, Basketball, and Football
Basketball on Paper
Playbooks and Checkbooks: An Introduction to the Economics of Modern Sports
Soccernomics
Handbook on the Economics of Sport
Healthcare Economics & Health-Tech
6 books
Cybersecurity
1 books
Computational Economics
3 books
Econometrics
1 books
Causal Inference & ML
2 books
Statistics
1 books
Operations Research
7 books
Foundations and Methods of Stochastic Simulation
Simulation Modeling and Analysis
Queueing Systems, Volume 1: Theory
Queueing Systems, Volume 2: Computer Applications
Performance Modeling and Design of Computer Systems: Queueing Theory in Action
Fundamentals of Queueing Theory
Introduction to Operations Research
Platform Economics
6 books
Labor & Gig Economy
1 books
Defense Technology
3 books
Advertising Economics
1 books
Free Online Monographs
2 resourcesModelling Extremal Events (Embrechts, Klüppelberg, Mikosch)
Comprehensive treatment of extreme value theory with 8,000+ citations. Covers applications in insurance and finance with rigorous mathematical foundations.
An Introduction to Statistical Learning of Extreme Values (Coles)
Foundational textbook on extreme value theory covering GEV and GPD distributions for tail modeling in climate, finance, and insurance.