We are a team of experts in our respective fields of identifying common problems in scientific research studies. They possess a variety of backgrounds in statistics, data analysis, human psychology and behavior, economics, philosophy, ethics, linguistics, communication studies, library science, and information management. As lifelong subscribers to Skeptic Magazine, they are well-versed in the ways in which people can be swayed by false information or flawed arguments. Additionally, their unique perspectives, such as being trained hypnotists or having experience in metacognition research, allow them to identify and correct errors in thinking and reasoning.
Moreover, their diverse backgrounds and daily listening to the Scott Adams Podcast since it started, provide them with a broad perspective on current events and societal trends that inform their analysis of scientific research. As writers for various publications, they also understand the importance of clear communication and the potential for financial incentives to influence research findings. Their skills in critical thinking, logic, and argumentation, coupled with their expertise in statistics and risk analysis, enable them to accurately assess probabilities and potential outcomes.
In summary, their diverse experiences and expertise equip them with the tools and knowledge necessary to identify and address problems in scientific research, ensuring that conclusions are based on accurate and reliable data.
Expertise Area
- Adam Appleton - Cherry Picking Data 
- Maya Murphy - Ignoring Confounding Factors 
- Greg Gravitas - Using Flawed Methodology 
- Lana Likelihood - Inappropriate Statistical Analysis 
- Mark Misfire - Misinterpreting Results 
- Nina Noreplica - Failing to Replicate Experiments 
- Allen Accidents - Poorly Controlled Experiments 
- Felicity Fabrication - Reporting Fraudulent Results 
- Simon Stretch - Exaggerating the Significance of Findings 
- Polly Pseudoscience - Misusing Scientific Jargon 
- Bella Blindspot - Failing to Account for Bias 
- Leo Limited - Incomplete Literature Review 
- Claire Confusion - Confounding Variables 
- Sam Small - Insufficient Sample Size 
- Patty Powerless - Lack of Statistical Power 
- Ian Inconsistency - Inconsistent Methodology 
- Ava Accuracy - Inaccurate Measurement Tools 
- Oliver Overgeneralize - Overgeneralization 
- Sally Self-Report - Overreliance on Self-Reported Data 
- Larry Limited - Limited Generalizability 
- Lila Lack - Lack of Control Group 
- Paul Publish - Publication Bias 
- Peter P-value - Overuse of P-Values 
- Stan Significance - Overemphasis on Statistical Significance 
- Sadie Sampling - Sampling Bias 
- Olivia Observer - Observer Bias 
- Rachel Response - Response Bias 
- Alan Analysis - Inadequate Data Analysis 
- Rita Reporting - Inadequate Reporting of Methods 
- Isaac Incomplete - Incomplete Data 
- Fiona False Explanation - Failure to Consider Alternative Explanations 
- Mike Misuse - Misuse of Inferential Statistics 
- Paige Peer - Inadequate Peer Review 
- Frank Follow-up - Inadequate Follow-Up 
- Bonnie Blinding - Inadequate Blinding 
- Randy Randomization - Inadequate Randomization 
- Rachel Replication - Inadequate Replication 
- Caleb Controls - Inadequate Controls 
- Mindy Measurement - Inadequate Measurement Reliability 
- Quincy Qualitative - Misuse of Qualitative Data 
- Quentin Quantitative - Misuse of Quantitative Data 
- Colin Correlation - Overuse of Correlation 
- Carol Causation - Misinterpretation of Causation 
- Dane Data Share - Inadequate Data Sharing 
- Emma Ecology - Insufficient Ecological Validity 
- Eli External - Insufficient External Validity 
- Cassie Construct - Inadequate Construct Validity