Latest Post: Cloward-Piven, but for Peer Review
In 1966, Richard Cloward and Frances Fox Piven proposed overwhelming the American welfare state in order to force revolutionary anti-poverty reforms. This Cloward-Piven strategy focuses on getting individuals who were eligible for social welfare benefits to claim them, thus putting strain on government budgets that presume some degree of non-participation, which would in turn force national reform of the public welfare model (in their hopes, in favor of a national basic income). The idea never came to fruition but has remained a talking point for more than fifty years....continue reading
- Cloward-Piven, but for Peer Review
- Packaging Your Reproducible Analysis
- It's Different Over Here, and Here, and Here...
- The Surprising Value of Faking Your Data
- Treatment Self-Selection is Worth Studying Per Se
- Flawed Assumptions in the Search for Research 'Impact'
- Experiments: Always LATE
- Deaton and Cartwright miss some key features of randomized experiments
- Make 'make' Make Again!
- One Simple Step Toward Improving Academic Hiring and Recruitment
- Assessing Clinton's Conflicts of Interest Requires Unobservable Counterfactuals
- ERPC is a Revolution, But Not for the Reason You Think
- Introducing #BeReviewer1: A Hashtag on a Mission
- Why Duplicate the Labor of Syllabus Construction?
- LSE Impact Blog: Elsevier's Purchase of SSRN
- If not for findings, then what should we reward scientists for?
- Think of Your Greatest Student!
- New Post at The Political Methodologist
- The Risks of Demanding Research Policy Impact
- Data and Software Should Be First Class Contributions
- What if 'positive' results had to be described like 'null' results?
- Are Interpretations Reproducible?
- Don't Fear DA-RT
- Would Transparency Help the Academic Job Market?
- How Can I Get Started Using R?
- Lessons for Academic Conferences from useR2015!
- MTurkGate Is A Good Reminder To Practice Our Fractions
- Has the Time Come for Bifurcated Peer Review?
- Ben, The One Simple Step To Eliminate Data Fraud
- What's in a Name? The Concepts and Language of Replication and Reproducibility
- What Can We Learn from 10.1 Million Facebook Users?
- In Defense of the Montana Experiment
- This is What a Predatory Journal Looks Like
- Collaborating with Git and Bitbucket
- Science, Social Media, and the Boundaries of Ethical Experimentation
- A Comment on Open Science
- The Relevance of Social Science
Except where noted, this website is licensed under a Creative Commons Attribution 4.0 International License.