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Dennis Alexis Valin Dittrich

@davdittrich.economicscience.net
848 followers 746 following 2.8K posts

Interested in bounded rationality, trust, discrimination, fair compensation, labor economics, quantitative methods, dataviz, rstats, open source 1stgen Professor of Economics (2005-2022) Senior Economist at the Stepstone Group economicscience.net

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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 16h
#EconSky Words Change Behavior More Than We Think www.powerofusnewsletter.com/p/shapi… Challenging the standard consequentialist assumption that decision-making is driven solely by outcomes and incentives, Capraro argues that #behavioralEconomics must integrate 1/3
powerofusnewsletter.com
Words Change Behavior More Than We Think
Valerio Capraro on emotions, norms, strategy, and linguistic framing.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 25/09/2026
#EconSky Beveridgean Phillips Curve arxiv.org/pdf/2401.12475 Replacing standard monopolistic pricing with directed-search pricing under price-adjustment costs, the framework links the #inflation gap directly to the #unemployment gap, yielding a model where prices respond to 1/2
arxiv.org
Beveridgean Phillips Curve
Driven by labor slack, the convex Beveridgean Phillips curve achieves target inflation whenever unemployment is at its efficient rate (FERU).
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/09/2026
#EconSky Efficient social learning is the human advantage over #AI forklightning.substack.com/p/effici… In an economy where raw computational cognition is rapidly commodified, “humans’ comparative advantage is our learning efficiency”, specifically our 1/2
forklightning.substack.com
Efficient social learning is the human advantage
Evolution has hardwired us for an ASI world
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/09/2026
#EconSky #Nudge or #tax? At last, some data timharford.com/2026/09/nudge-or-tax… "the two approaches complement each other. Take vaccination: a government keen to maximise the uptake of a vaccine would do well to reduce the price (zero is a particularly attractive 1/4
timharford.com
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/09/2026
#EconSky What German reunification reveals about how we really find work, and the one connection that makes the difference. www.rfberlin.com/wp-content/uploads… Only 3 to 4% of displaced East German workers moved west within five years of losing their jobs, despite 1/4
rfberlin.com
Displaced workers relocate toward former coworkers, driven by relevant, job-specific information rather than social support.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/09/2026
#EconSky "AI companies use tokens to track usage and bill customers. Now economists are using them to track the spread of AI through the economy." www.npr.org/sections/planet-money/2… Much like electricity 1/2
npr.org
AI tokens could become the kilowatt-hour of the AI age
AI companies use tokens to track usage and bill customers. Now economists are using them to track the spread of AI through the economy.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/09/2026
“college campuses need to be liberated from their administrators” because “higher ed is being strangled by absurd and costly rules.” globecollegetown.substack.com/p/hig… ​By allowing bureaucratic mandates and managerial overreach to supersede academic 1/2
globecollegetown.substack.com
College campuses need to be liberated from their administrators
Higher ed is being strangled by absurd and costly rules. What message is that sending to students?
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/09/2026
#EconSky Market #competition accomplishes what decades of regulation haven't www.independent.org/article/2026/09… Not covering expensive but seldom-utilized treatments is an easy way for health insurance providers to cut costs. ... 1/2
independent.org
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 13/06/2026
The cheapest migration is the one nobody notices. Google cuts off the #GeminiCLI for consumer tiers on June 18. My tools all call gemini directly. So I kept the name and swapped the backend. A shim and #ai agent #skill that routes gemini through Google's Antigravity CLI. No config 1/2
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 03/06/2026
#EconSky Is Economics Finally Becoming Trustworthy? www.econlib.org/econlog/economics-f… "Economics, along with political science, looks relatively good by this measure, with about half of articles sharing data or code, compared to less than one in ten articles in the 1/3
A three-panel chart detailing replication rates across six academic fields (Political science, Economics, Sociology, Psychology, Business, and Education) and an "All fields" summary.

Panel a ("Attempts (%)"): Shows the percentage of studies where a reproduction was "Attempted" (dark blue) versus "Not attempted" (light grey). Political science has the highest attempt rate (around 20%), while all other fields remain under 10%.

Panel b ("Attempts (%)"): A stacked bar chart of attempt outcomes: "Precisely reproduced" (dark blue), "Approximately reproduced" (light blue), and "Not reproduced" (magenta). Economics and Political Science lead with precise reproduction rates over 50%, while Education shows 0% precise reproductions.

Panel c ("Counts"): A dot plot showing total study counts (0 to 150) color-coded by outcome, revealing that Psychology and Business have the largest total sample sizes in the dataset.

The chart highlights a dual-layered reality in social science replication. While fields like Economics and Political Science are much more proactive at attempting to reproduce past research (Panel a) and boast the highest rates of precise reproducibility when they do try (Panel b), the vast majority of published papers across all fields are still never attempted. When attempts are made, roughly half across all fields can be precisely reproduced, leaving a significant portion that can only be partially replicated or fail entirely.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 03/06/2026
#EconSky Remote Work Leaves Younger Workers Sidelined libertystreeteconomics.newyorkfed.o… "…youth #unemployment has risen dramatically since the pandemic—as has the prevalence of remote work … remote work can explain 64% of the 1/3
A line graph tracking changes in "Percentage points" on the y-axis (ranging from -2 to 4) over time on the x-axis (from 2015 to 2024). The graph compares two categories, each plotted with a line and a shaded confidence interval: "Remotable occupations" (black line with circular markers and grey shading) and "Non-remotable occupations" (blue line with triangular markers and light blue shading). Both lines converge at 0 in 2019. A vertical grey shaded block highlights the pandemic period around 2020 and 2021. In 2020, both lines spike sharply, but the blue line peaks much higher (around 2.5) than the black line (around 1.5). By 2021, the blue line drops sharply and remains lower, while the black line for remotable occupations steadily climbs upward from 2022 through 2024, ending near 1.5 percentage points.

The chart illustrates a distinct post-pandemic divergence in employment trends based on how adaptable a job is to remote work. While non-remotable occupations saw a massive, immediate spike in 2020 followed by a swift stabilization, **remotable occupations have experienced a sustained, upward trajectory in percentage points from 2022 through 2024**. This suggests a structural, long-term shift or growing challenge within the remote job market compared to traditional, in-person roles.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 31/05/2026
#EconSky #PersonalizedPricing Isn’t All Bad for Consumers www.cato.org/blog/personalized-pric… "Both individualized and dynamic pricing have existed in our daily lives for years. But the combination of the two using modern technology has led to fears… that 1/3
cato.org
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 22/05/2026
#EconSky How Your #Brain Decides What Matters nautil.us/how-your-brain-decides-wh… Traditional #neuroscience mythologized the amygdala as a simple fear switch, but recent studies on a rare genetic disorder reveal its deeper role in social and economic decision-making. 1/4
nautil.us
How Your Brain Decides What Matters
How Your Brain Decides What Matters: People with amygdala damage are shedding new light on why we trust or fear others
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 22/05/2026
#EconSky Discrimination Preferences d.repec.org/n?u=RePEc:crm:wpaper:26… "… #moral preferences are highly heterogeneous and the moral #discrimination preferences we introduce are widespread. We identify minorities of individuals with tastes for.…and large majorities with 1/5
d.repec.org
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 21/05/2026
#EconSky The Math-Verbal Divide: Unequal Returns to Cognitive Skills in Education and Work d.repec.org/n?u=RePEc:iza:izadps:dp… "Verbal skills strongly predict educational attainmen while #mathematics skills generate substantially larger earnings returns. … This 1/4
docs.iza.org
The Math-Verbal Divide: Unequal Returns to Cognitive Skills in Educati
This highlights the pivotal role of subject choice as a key mechanism linking skills to labour market outcomes.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 14/05/2026
#EconSky Firm Pay, Amenities, and Inequality d.repec.org/n?u=RePEc:nbr:nberwo:35… "Non-wage attributes are an important driver of job choice: workers frequently choose lowerpaying offers. Amenity valuations are highly dispersed across firms and approximately orthogonal to 1/4
nber.org
Firm Pay, Amenities, and Inequality
Sydnee Caldwell Ingrid Haegele Jörg Heining Working Paper 35149 http://www.nber.org/papers/w35149 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachus…
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 14/05/2026
#EconSky The Economics of Morally Contested Markets www.preposterousuniverse.com/podcas… Alvin Roth discusses his new book, Moral #Economics, and the world of repugnant transactions. He explores why certain 1/2
preposterousuniverse.com
353 | Alvin Roth on the Economics of Morally Contested Markets – Sean
Economic markets are efficient ways of deciding fair prices, at least in ideal circumstances of perfect competition, information, and choice. But ther
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 13/05/2026
#EconSky From 1h a day to +1% productivity Why AI Saves You an Hour and Your Company Gains Nothing papers.ssrn.com/sol3/Delivery.cfm/6… "… organizational plasticity as the key variable. #Productivity growth depends on a firm’s capacity to convert 1/3
papers.ssrn.com
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 13/05/2026
Is This Why Science Advances One Funeral at a Time? nautil.us/is-this-why-science-advan… "What exists at one’s intellectual ‘birth’ feels normal, what appears during early career feels revolutionary, and what emerges after maturity feels suspect." 1/2
nautil.us
Aging and the narrowing of scientific innovation
Aging researchers and the removal of retirement policies yield decreased disruptive innovation in science
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 04/05/2026
#EconSky The happiness crash of 2020 www.econstor.eu/bitstream/10419/339… Before 2020, Americans were a fairly cheerful group, but national #happiness has recently taken a historic crash. By analyzing decades of survey data, this study shows a sharp decline has 1/3
A line graph titled "Happiness 1972-2018 and 2021-2024." The y-axis ranges from 0 to 30, and the x-axis shows years from 1970 to 2025. A black line tracks the percentage difference between people reporting they are "very happy" versus "not so happy." For decades (1972–2018), the data fluctuates mostly between 15 and 30, with a historical average of 22.01 indicated by a dashed horizontal line. There is a gap in the data for 2019–2020. In 2021, the line plummets to approximately -2, marking the first time the value is negative. While it recovers slightly by 2024, it remains historically low at around 6. Source: GSS variable happy.


The chart highlights a "happiness crash" that broke a nearly 50-year trend:

Historical Stability: From 1972 to 2018, Americans were consistently more likely to say they were "very happy" than "not so happy," maintaining a steady average of about 22 points.

The Post-2020 Pivot: The data for 2021 shows a shocking reversal where, for the first time in the recorded history of this survey, the number of "not so happy" people actually outweighed the "very happy" group (resulting in a negative score).

The "New Normal": Although there is a slight upward tick between 2022 and 2024, the current happiness level (approx. 6) is still significantly lower than even the worst historical dips seen in the mid-80s or 2010. This suggests a lasting shift in the national mood following the events of 2020.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 01/05/2026
Identification and Semiparametric Estimation of Conditional Means from Aggregate Data arxiv.org/pdf/2509.20194 Ecological inference is the challenge of estimating subgroup behavior using only aggregate data like geographic averages. This paper introduces a new semiparametric method 1/3
arxiv.org
Identification and Semiparametric Estimation of Conditional Means from
Often, researchers are interested not just in the global estimand _𝛽_ = 𝔼[ _𝑌_ | _𝑋_ ], but how this relationship varies by geography.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 29/04/2026
Jargon-filled leadership language confuses teams, slows decisions, and corrodes credibility www.powerofusnewsletter.com/p/what-… Corporate jargon masks truth to impress but erodes #trust and hinders organizational decision-making. Defined as an 1/3
powerofusnewsletter.com
The psychology of corporate bullshit—and why it backfires inside organ
Why jargon-filled leadership language confuses teams, slows decisions, and corrodes credibility + take the Corporate BS Receptivity Test
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 29/04/2026
AI could destroy mathematics and barely touch it davidbessis.substack.com/p/the-fall… #AI challenges the "theorem economy" by automating #proofs while overlooking human intuition. Bessis argues that math's true product is understanding, not just results, which AI 1/3
davidbessis.substack.com
The fall of the theorem economy
How AI could destroy mathematics and barely touch it
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 29/04/2026
AI Productivity Growth Won’t Match the Computer Revolution prosyn.org/sgr9TWK?referral=304d11 #AI #productivityGrowth will likely underwhelm compared to the computer revolution of the late 1990s. AI’s impact on #productivity is being hampered by a "verification tax," where the time 1/4
project-syndicate.org
AI Productivity Growth Won’t Match the Computer Revolution
Carl Benedikt Frey points out that the technology tends to shift the burden of work, rather than eliminating it.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 28/04/2026
#EconSky Choice Architecture in Occupational Choices repec.business.uzh.ch/RePEc/iso/lea… This study uses a Swiss job board to analyze how rank order and design influence high-stakes occupational choices. Higher rankings increased applications, especially for 1/3
New research from the University of Zurich (Dell et al., 2026) shows that "Choice Architecture" isn't just for small purchases—it shapes high-stakes career moves.

By studying thousands of job seekers, researchers found:

1️⃣ The Power of Ranking: Users engage significantly more with top-ranked results, even when others are a perfect match.
2️⃣ Visuals > Text: Moving from text-heavy lists to interactive, visual interfaces reduces "Cognitive Load."
3️⃣ The Watch List Effect: Better design leads seekers to use "watch lists," keeping more diverse career options in their memory and leading to more applications.

The Takeaway: Small design tweaks can help people overcome "tunnel vision" and discover a wider range of professional opportunities.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 28/04/2026
#EconSky Human–AI Evaluation and Gender Transparency: Application Decisions in Competitive Hiring docs.iza.org/dp18517.pdf #AI involvement deters applicants, particularly women, across both pure algorithmic and hybrid human-in-the-loop regimes. This effect is driven by non-competitive 1/3
docs.iza.org
Human–AI Evaluation and Gender Transparency: Application Decisions in
AI hiring deters high-performing non-competitive women while overconfident men over-apply; gender transparency has no effect.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 28/04/2026
#EconSky Extending Working Lives: A Systematic Review of Motivations, Determinants, and Institutional Contexts cris.maastrichtuniversity.nl/ws/fil… This review of 103 studies examines determinants of labor participation beyond 1/6
cris.maastrichtuniversity.nl
Extending working lives requires aligning macro-policy with flexible firm practices to support diverse financial and personal motivations.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/04/2026
The hidden power keeping wages low www.npr.org/sections/planet-money/2… #Monopsony theory explains how employer dominance suppresses wages by distorting competitive market dynamics. Modern research reveals that market concentration 1/3
npr.org
The hidden power keeping wages low
For decades, economists gave short shrift to the idea of monopsony — a power employers can have to suppress wages. Now a wave of research suggests it'
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/04/2026
#EconSky Why did people stop responding to federal economic surveys? www.brookings.edu/articles/why-did-… Declining response rates challenge the precision and bias of economic indicators like unemployment. Surveys 1/2
A line chart titled "Establishment survey response rates" shows data from 2015 to early 2025. The y-axis measures the percentage response rate from 0% to 80%. Five colored lines represent different Bureau of Labor Statistics (BLS) surveys: CPI-C&S (dark blue), CES (light orange), ECI (light blue), IPP-Exports (yellow), and IPP-Imports (dark orange). All five lines show a steady downward trend. In 2015, most rates were between 55% and 72%; by 2025, they have dropped significantly, with some surveys (IPP) crashing to around 30%. A sharp, synchronized drop is visible across most categories in early 2020. Source: Bureau of Labor Statistics / Brookings.

The chart reveals a growing "crisis of participation" in economic data collection:

The "COVID Cliff": Every survey experienced a sharp, permanent drop in early 2020. While we might have expected a recovery post-pandemic, the rates continued to stagnate or slide further, suggesting a fundamental change in how businesses prioritize government requests.

A Growing Blind Spot: The IPP (Import/Export Price Indexes) surveys are in the most trouble, plummeting from roughly 55% to 30% in just a decade. When only 1 in 3 businesses respond, the data becomes much "noisier" and less reliable for tracking inflation.

The "Gold Standard" is Fading: Even the CPI (Consumer Price Index) and ECI (Employment Cost Index)—critical tools for setting interest rates and wages—have fallen from the 70% range to the 45%–50% range.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 23/04/2026
Our love of predictability may hinder adaptation to an unstable world jeroenvanbaar.substack.com/p/how-un… Many people feel a strong need to predict the future and get stressed when they cannot control events. While #anxiety is rising, it was unknown if our 1/3
A scatter plot titled "Intolerance of uncertainty in U.S. and Canadian college students, 1992–2022." The x-axis shows the year, and the y-axis shows IU scores in standard deviation units ranging from 2.5 to 4.0. Green and orange dots (representing individual study data points) populate the graph, with a thick purple trend line showing a steady, accelerating climb from approximately 2.8 in the early 90s to 3.7 by 2022. A shaded purple area indicates the confidence interval. Note: The data is attributed to Van Baar et al. (2026).

The visualization suggests a profound shift in the psychological profile of the "average" college student over the last three decades:

Steady Escalation: Between 1992 and roughly 2010, the increase was gradual. However, the curve steepens significantly after 2010, suggesting that more recent cohorts find uncertain situations increasingly stressful or "unacceptable."

The "Certainty Gap": The trend line moves from the bottom third of the scale to near the top. In clinical terms, higher IU is often correlated with increased levels of anxiety and perfectionism, as individuals struggle to cope with the absence of a guaranteed outcome.

Recent Volatility: The cluster of data points near 2020–2022 shows some of the highest recorded scores, likely reflecting the impact of global instability and the pandemic on student mental health.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 22/04/2026
Intelligence Without Integrity: Why Capable LLMs May Undermine Reliability arxiv.org/pdf/2602.20440 "As LLMs become embedded in empirical workflows and organizational decision infrastructures, analytic reliability depends on more than raw capability. It requires both intelligence 1/4
arxiv.org
Intelligence Without Integrity: Why Capable LLMs May Undermine Reliabi
The most capable models may produce conclusions that are less stable across reasonable analytical framings, raising new challenges for replicability …
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 22/04/2026
#EconSky Compassion and Responsibility, the Moral Architecture of the Mind 3quarksdaily.com/3quarksdaily/2026/… #smith #hume #rawls #economics #selfConsciousness ⚗️
3quarksdaily.com
403 Forbidden
It appears you have pasted a "403 Forbidden" error message instead of the text or URL of the academic paper. Please provide the actual text of the pap
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 22/04/2026
A Job I Like or a Job I Can Get: Designing Job #RecommenderSystems Using Field Experiments d.repec.org/n?u=RePEc:arx:papers:26… "… welfare-optimal RSs rank vacancies by an expected-surplus index, and shows why rankings based solely on utility, #hiring probabilities, or 1/5
arxiv.org
A Job I Like or a Job I Can Get: Designing Job Recommender Systems Usi
Combining user utility and hiring probabilities in job recommender systems yields substantial welfare gains over standard predictive algorithms.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 20/04/2026
Easy A’s, Less Pay: The Long-Term Effects of Grade Inflation www.nber.org/papers/w34952 "Being assigned a higher average grade inflating teacher reduces a student's future test scores, the likelihood of graduating from high school, college enrollment, and ultimately earnings. In 1/3
nber.org
Easy A’s, Less Pay: The Long-Term Effects of Grade Inflation
Average grades continue to rise in the United States, raising the question of how grade inflation impacts students. We provide comprehensive evidence
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 20/04/2026
#AI and the Quantity and Quality of Creative Products: Have LLMs Boosted Creation of Valuable Books? d.repec.org/n?u=RePEc:nbr:nberwo:34… "While the average quality of new #books has fallen with the LLM-induced influxand while much of the new work appears to be of little 1/3
nber.org
LLMs tripled book releases, lowering average quality but driving a surge in the absolute number of high-quality titles and consumer surplus.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 20/04/2026
What Makes New Work Different from More Work? d.repec.org/n?u=RePEc:nbr:nberwo:34… “… new work is central to maintaining and augmenting the value of human expertise in the face of automation because, unlike simply more (preexisting) work, new work demands novel expertise 1/4
nber.org
New work offsets automation not just by creating jobs, but by demanding scarce human expertise that commands significant wage premiums.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 20/04/2026
Do Firms Share their Profits Equally with Women and Men? The Role of Human Capital, Managerial Positions and Unions docs.iza.org/dp18388.pdf "… wage-profit elasticity is estimated at 2.8% and is not statistically different for women and men. These non-differing elasticities therefore 1/3
docs.iza.org
Do Firms Share Their Profits Equally with Women and Men? The Role of H
Men and women share firm profits equally; the gender pay gap instead stems from women's segregation into less profitable firms.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 05/04/2026
"The interest in #AI writing novels is just another illustration of our efficiency-loving, conveyor-belt society. The threat of AI taking novelists’ jobs is not really about the prospect of it cracking how to write fiction. It is the danger that we stop caring about good #writing at all." 1/3
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 31/03/2026
It must be very hard to publish null results d.repec.org/n?u=RePEc:zbw:i4rdps:28… "Most of the statistical tests … are severely Underpowered … implies that the majority of null hypothesis significance tests we run should yield #nullResults. Yet, the published literature 1/5
d.repec.org
PDF
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 29/03/2026
robscale 0.5.3 is now on CRAN: A major update since the last public release (0.2.1). New: 11 robust estimators with confidence intervals, plus a variance-weighted ensemble combining seven scale statistics via bootstrap. Newton–Raphson replaces scoring iteration (2–4 steps vs 6–8), a fused 1/4
Three-panel speedup plot. Panel A: robScale, robLoc, adm vs revss (4–5× at small n, 2–4× at large n). Panel B: Qn, Sn vs robustbase (up to 9× at large n). Panel C: GMD vs GiniDistance, IQR vs stats (37× at small n), MAD vs stats (26× at small n). Sample sizes n=3 to n=10 million.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 28/03/2026
How ‘Tiny Shortcuts’ Are Poisoning Science nautil.us/how-tiny-shortcuts-are-po… "The #credibility crisis of #science is not about scientific progress invalidating previously held scientific beliefs, which is intrinsic to the very nature of scientific 1/4
nautil.us
How ‘Tiny Shortcuts’ Are Poisoning Science
How ‘Tiny Shortcuts’ Are Poisoning Science: Seemingly harmless data tweaks are undermining the integrity of the entire field. We must define the problem to prevent it
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 10/03/2026
Robust estimation demands highly efficient computation, especially in streaming anomaly detection where latency budgets are tight. While Rousseeuw & Croux's robust estimators ($Q_n$ and $S_n$), and Rousseeuw & Verboven's M-estimators of location and scale for very small samples, provide 1/4
A two-panel benchmark charting performance multipliers of the optimized C++ robscale package against legacy pure-R implementations across sample sizes from $n = 3$ up to $10^7$, with the vertical axis starting honestly at 0x. The left panel reveals a massive speedup for M-estimators (robLoc, robScale, adm  vs. revss), pushing up to ~28x for robScale. The right panel tracks scale estimators ($Q_n$, $S_n$ vs. robustbase), showing the speedup curve upward from 1.6x, approaching 10x at large sample sizes. Shaded ribbons show 95% bootstrap confidence intervals, visually confirming dramatic computational efficiency.
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Reposted by Dennis Alexis Valin Dittrich
Dominik Roth @dominikroth.bsky.social · 18/02/2026
this would be a nice addition to the dichotomisation chapter of discourse.datamethods.org/t/reference-... (unfortunately, Andrew Althouse doesn't seem to be active on Bluesky?)
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 18/02/2026
#EconSky While there is some "boardroom disillusionment" with #AI … Companies have seen "micro-efficiencies" (faster emails, quicker coding), but these haven't scaled to "macro-gains," and the Cost of Implementation (energy, licensing, and talent) is currently outstripping the Value of 1/3
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 15/02/2026
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials onlinelibrary.wiley.com/doi/10.1002… "Burdening more participants than necessary is wasteful, costly, and unethical. … trials with a binary outcome have larger sample sizes on average, 1/3
onlinelibrary.wiley.com
An Empirical Assessment of the Cost of Dichotomization of the Outcome of Clinical Trials
ABSTRACT We have studied 21 435 unique randomized controlled trials (RCTs) from the Cochrane Database of Systematic Reviews (CDSR). Of these trials, 7224 (34%) have a continuous (numerical) outcome and 14 211 (66%) have a binary outcome. We find that trials with a binary outcome have larger sample sizes on average, but also larger standard errors and fewer statistically significant results. We conclude that researchers tend to increase the sample size to compensate for the low information content of binary outcomes, but not sufficiently. In many cases, the binary outcome is the result of dichotomization of a continuous outcome, which is sometimes referred to as “responder analysis”. In those cases, the loss of information is avoidable. Burdening more participants than necessary is wasteful, costly, and unethical. We provide a method to convert a sample size calculation for the comparison of two proportions into one for the comparison of the means of the underlying continuous outcomes. This demonstrates how much the sample size may be reduced if the outcome were not dichotomized. We also provide a method to calculate the loss of information after a dichotomization. We apply this method to all the trials from the CDSR with a binary outcome, and estimate that on average, only about 60% of the information is retained after dichotomization. We provide R code and a shiny app at: https://vanzwet.shinyapps.io/info_loss/ to do these calculations. We hope that quantifying the loss of information will discourage researchers from dichotomizing continuous outcomes. Instead, we recommend they “model continuously but interpret dichotomously”. For example, they might present “percentage achieving clinically meaningful improvement” derived from a continuous analysis rather than by dichotomizing raw data.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 10/02/2026
#EconSky AI Doesn’t Reduce Work—It Intensifies It hbr.org/2026/02/ai-doesnt-reduce-wo… “AI introduced a new rhythm in which workers managed several active threads at once: manually writing code while AI generated an alternative version, running multiple agents in 1/5
hbr.org
AI Doesn’t Reduce Work—It Intensifies It
One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 10/02/2026
#EconSky The Work-from-home Wage Premium www.frbsf.org/wp-content/uploads/wp… "… find that workers who work from home earn higher hourly wages than those who do not. … premium is driven by selection on unobservable worker characteristics (which could include ability, 1/4
frbsf.org
The Work-from-home Wage Premium
Federal Reserve Bank of San Francisco Working Paper 2026-02
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 04/02/2026
How I Use Claude Code for Empirical Research causalinf.substack.com/p/claude-cod… Scott has a lot of good and useful ideas about how to use #claudeCode & Co. I like the referee #2 idea. There is more in his other posts. #AI #llm orig 1/2
causalinf.substack.com
Claude Code Part 12: How I Use Claude Code for Empirical Research
My "MixtapeTools" repo
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 04/02/2026
#EconSky The Legacy of Daniel Kahneman ejpe.org/journal/article/view/1075/… by Gerd Gigerenzer #BoundedRationality #economics #Psychology #heuristics #Biases #statisticalThinking orig fediscience.org/@davdittrich/116013…
ejpe.org
View of The Legacy of Daniel Kahneman:
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Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 04/02/2026
#EconSky Everyone Take Copies www.econlib.org/econlog/everyone-ta… "… discs: Non-rivalrous goods are goods that can be used by multiple people without any loss to the other users. If participants exercise the ability to take a disc, then the original disc holder still has a 1/4
econlib.org
Everyone Take Copies - Econlib
I have a new working paper with Bart Wilson titled: “You Wouldn’t Steal a Car: Moral Intuition for Intellectual Property.”  The title of this post, “everyone take copies,” comes from a conversation between the human subjects in an experiment in our lab, on which the paper is based. The experiment was studying how and when […]
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