Extraordinary Claims, Extraordinary Evidence

ECEE

Support for Harvard faculty taking major intellectual risks: the expertise, infrastructure, and funding to turn extraordinary claims into extraordinary evidence.

“Science depends upon contrarians. We need researchers trying to propose claims that most others think are wacky or wrong or offensive or ridiculous, because sometimes rigorous evidence will convince us all that they’re right.”

Gary King
Albert J. Weatherhead III University Professor and IQSS director
Read the Harvard Gazette story

What counts as an extraordinary claim

An extraordinary claim is an empirical claim that sits unusually far from the current dominant view of the scientific community. For example:

  • Contrarian findings that challenge widely accepted assumptions
  • Novel empirical insights into taboo, under-researched, or dismissed topics
  • Investigations that expose structural flaws in prevalent methodologies
  • Projects previously deemed "unfundable" or politically risky

How we evaluate a proposal

Three things tell us a claim is extraordinary. A project does not need all three, but the strongest proposals carry more than one.

Societal impact

Findings that could change what governments, practitioners, industry, educators, or the media do.

Societal impact

Controversial nature

Work that challenges norms held by influential communities or institutions, or takes on politically charged subject matter.

Controversial nature

Risks to the researcher

Reputational, career, legal, or institutional exposure, including harassment, strained relationships, and lost funding, of a kind that deters most researchers.

Risks to the researcher

What we provide

Research expertise and personnel

Data analysis and visualization, research and survey design, archival data repositories, and cluster computing pipelines.

Research expertise and personnel

Administrative resources

Help structuring a project so it can grow into an IQSS research program or spin-out, plus research space and administrative support.

Administrative resources

Funding guidance

Help identifying and securing outside funding. Where none is available, ECEE may provide limited funding directly.

Funding guidance

How it works

Intro conversation and proposal

Intro conversation and proposal

Scoping and partnership agreement

Scoping and partnership agreement

Project work

Project work

Paper to rapidPeer, then a journal

Paper to rapidPeer, then a journal

What an ECEE project looks like

With ECEE support, Richard McNally's group tested whether trigger warnings and safe-space notices change how students see their instructor. Trigger warnings changed nothing; safe-space notices made students feel safer and more willing to discuss controversial topics, but also led them to see the instructor as politically left. The paper, Sending Signals, was selected as an APA Editor's Choice article in the Journal of Experimental Psychology: Applied (2025).

Richard McNally

“We could have this big design that had the statistical power to detect any differences. [Without ECEE] we could have never pulled it off at this scale.”

Richard McNally
Professor of Psychology, Harvard University

Confidentiality

The Extraordinary Claims, Extraordinary Evidence partnership is built on trust and an unusual level of confidentiality. All project proposals, data, and research discussions shared with our team are treated as strictly confidential. You can tell others you received our support if you wish, but we will never share anything about your project without your permission.  We have found that this high level of confidentiality gives researchers the freedom to explore far riskier ideas than they would otherwise.  We invite you to join our highly secure environment for candid, rigorous collaboration with our experts. By keeping your ideas totally private, ECEE can help you develop the extraordinary evidence necessary to convince yourself and the world that you’re right, and if not, to learn why.

The ECEE team

Dr. Steven Worthington

Director of Data Science
Institute for Quantitative Social Science, Harvard University

Steve Worthington

Dr. Dan Yuan

Data Science Project Management Specialist
Institute for Quantitative Social Science, Harvard University

Dan Yuan

Get in touch

Have a project that might fit? The first conversation is informal and confidential.

Made possible by a generous gift from Alexander & Diviya Magaro