David “Build Back NYC” Lee 🌎 (@lorenz_system) header
David “Build Back NYC” Lee 🌎 (@lorenz_system) profile picture

Building Upzoned | Now: Fiscal Policy @CenterNYC, Physical oceanography @columbia @Lamont_Doherty | Past: @NYSA_Majority | 🏗️ 🇺🇸

NYC
Joined June 2018
Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)Photo by David “Build Back NYC” Lee 🌎 (@lorenz_system)
Last week, I started building a housing upzoning game. Today, I am launching Upzoned v0.1.0 with free and paid early access tiers. You can just do things, like upzoning all of New York. Get free and $14.99 early access demos here: upzoned.nyc/
In the last two hours, I've been vibe coding a New York City adversarial policy simulator. What is an adversarial simulator? In games like SimCity or Cities Skylines, you get to play God. Land is rezoned, budgets are amended, and policies implemented by executive (your) fiat, bereft of checks and balances or institutional obstruction. These games are classics, but I have always wanted to have NPCs serving as rivals that attempt to stymie my grand ambitions in the simulator. Built with Opus 5, introducing Upzoned: a game where you, the player, can upzone the entire city by duking it out with NIMBYs and Olsonian special interests in the ULURP process.
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David “Build Back NYC” Lee 🌎 retweeted
Very good article from Bloomberg below. But I worry that a lot of well-intentioned advocates of public power are way overstating investor ownership as the driver of the cost differences here, rather than other state policies. More on this soon, but the two graphics below offer a sneak peek of my analysis of these two Massachusetts towns and their investor-owned vs. public-power utility costs:
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David “Build Back NYC” Lee 🌎 retweeted
I've been pointing out since the early 2010s that Thomas Piketty, Emmanuel Saez, and Gabriel Zucman have a bad habit of biasing their data construction to fit their politics. Whenever they make a suspect call in how to handle stats, it ends up showing that inequality is on the rise. They almost never go in the other direction. The errors are non-random and almost invariably reinforce their political claims about rising income and wealth concentration since 1980. Piketty did this throughout his book Capital in the 21st Century. Piketty and Saez did this throughout their famous 2003 paper on inequality in the US. Piketty, Saez, and Zucman Saez and Zucman did this in their Distributional National Accounts paper that Auten and Splinter dissected. Saez and Zucman did this in their 2019 book on tax incidence and inequality. Saez and Zucman did this in their flurry of "studies" and white papers to support Elizabeth Warren's wealth tax proposal, California Prop 40, a new wealth tax in France, and dozens of other similar examples. A new AI report (linked below) audited 138 papers by Saez and Zucman. It found thousands of errors, 194 of which were serious. A whopping 97% of the serious errors went in the same direction: they showed inequality rising faster or made it higher. But there's a bigger scandal at play here. Despite these clear biases, Piketty, Saez, and Zucman have enjoyed a stream of praise and prestige within the economics profession. They get expedited and friendly reviews in top econ journals even though a more serious peer review should have caught many of these errors (the Quarterly Journal of Economics is a recurring offender in this regard). Journals regularly give them a pass after the errors in their old work come to light - they're never expected to correct any of it, and just keep on using it as if nothing changed. Their non-peer reviewed data claims are also treated as gospel by major media outlets such as the New York Times and the Washington Post. And they get showered with prizes - Saez and Zucman are both Clark Medal winners from the AEA, and Zucman got his prize in 2023 after evidence of major data shenanigans in his work came to light in 2019. Until now, those of us who have been trying to correct the record have had to wade through the PSZ trio's cluttered, disorganized, and often non-transparent replication packages (almost all of which are convoluted piles of Excel spreadsheets) to find the problems. I did a line-by-line replication of Piketty and Saez's entire 2003 US income inequality series to use one example, and found it was riddled with errors - almost every single one of which biased their results in favor of their political story. We had the means to catch this stuff as it was happening, but the economics profession failed to do its job. And it failed precisely because its elite ranks wanted to believe the Piketty-Saez-Zucman story for political reasons.
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David “Build Back NYC” Lee 🌎 retweeted
I have been pointing out this exact problem with Zucman and Saez's work for the past decade, as has @VincentGeloso
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A reminder to those voting in NYC: you can read the proposed legal amendments to the City Charter in the five ballot questions (instead of relying on the plain language abstract) in Appendix C of the Charter Revision Commission’s Adopted Final Report. nyc.gov/assets/charter/downl…
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i feel so excited for econ majors these days — there’s so much alpha in knowing the discipline well and applying it to ai alignment seems important to study - game theory - collective action problems - invisible incentives to better understand - swarm behavior - revealed preferences - how the invisible hand guides agent behavior more than individual alignment what are ppl reading in the overlap of these two domains?
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I made LaTeX Tutor to facilitate self-learning while retaining the rigor of having a teacher check over your work. Compute is much cheaper than dumping thousands on a single course credit. github.com/DALEE9000/latex-t…
A potentially controversial thought: We should make AI PhD coursework only optional. So many of our PhDs are tied in numerous classes, but: - Self-learning is easier than ever. - Many incoming PhDs are already strong researchers. - We need to free Profs' time for more research mentorship. - Urgent AI problems need free-thinking minds (like our academic students!), independent of industry for-profit directions. Courses are valuable. But they don't need to be mandatory, especially when so many problems with AI are threatening our society, and urgently need to be solved.
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In general, a robust principle for all science research. Trying to model ocean currents has led me down some wonderful rabbit holes in hardware engineering (Argo floats) and statistical filtering.
The best lesson I learned from Uchicago Econ during my undergrad was: “Find an interesting and important question first, then find methods to study it.” Not the other way around.
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.@NSF is hiring the inaugural Head of its Office of Metascience to apply the scientific method to how we fund, organize, and evaluate research. Continuous improvement will accelerate discovery. If you care about the science of science, apply:
nsf.gov/careers/openings/od/…
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The Mamdani administration should be commended for their transparency in disclosing thousands of documents related to the September 11th terrorist attacks on our city. ...but the city portal is clunky and difficult to query. So I built my own, replete with complete categorization of documents by department or office, OCR-extracted geospatial data, and visualizations of surface and aerosol particulate matter taken in the year after the attack.
Last month, ahead of the 25th remembrance of the horrific terror attacks of September 11th, our administration launched the City’s first public portal for 9/11-related city records and released 20,000 documents related to air quality and toxins that had never previously been made public.  Today, we’re announcing the addition of 40,000 more documents to the portal. Now, more than 200,000 pages of records — once hidden — are available to every single New Yorker at nyc.gov/sept11docs. For years, first responders, survivors, and family members sought accountability and transparency from city government. This year, we listened. 
 Our commitment to honoring those we lost that day — and supporting those who suffered in the years since — cannot begin or end on the anniversary. We will continue to do everything in our power to bring clarity to New Yorkers.
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Much of this data was pulled using OCR, or Optical Character Recognition, a method used to convert images of handwritten or printed text into machine-readable strings. As such, there is always the chance that OCR did not return the correct data point, and all analysis on this site should be cross-referenced with the original document, which is linked to every data point.
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It is my hope that whatever information from the city's 9/11 Document Portal and my tool can be gleaned be used to continue to support the crucially important work of caring for victims and first responders who answered the highest call of duty on that day. This is dedicated to all who served and made the ultimate sacrifice for their city and country, forever and always. 🇺🇸🗽
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Last month, we demonstrated high-rate alchemy: turning mercury into real, stable gold, beating CERN’s record by a factor of 10. Last week, we enriched isotopes in the world’s most powerful plasma centrifuge, beating the Soviet record that stood for 40 years. Now, we’re building a fusion reactor in San Francisco to achieve record power density.
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Announcing Prosperity One: a proposed 6.6 gigawatt nuclear campus in Lewis County, Kentucky
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