Stop citing bad science
A 25-year-old foundational study was just retracted, revealing a deep crack in the scientific record. Here's the tool to fix it.
⚡ The Signal
A 25-year-old study, foundational to the safety case for a weedkiller used on millions of acres, was just retracted. This wasn't a minor correction; it was a seismic event that confirmed what many have suspected for years: corporate influence can quietly corrupt the scientific record we all rely on. The recent retraction of the Roundup study is a brutal reminder that even peer-reviewed science isn't immune to bias.
🚧 The Problem
Trust is expensive to lose and nearly impossible to win back. Professionals in every field—from VCs vetting a biotech startup to policymakers setting public safety standards—are drowning in data of questionable origin. The cost of getting it wrong can be catastrophic, leading to situations where families are mistakenly sent back to live in toxic homes based on flawed assessments.
This isn't just about corporate meddling anymore. We now face a second front: AI-generated misinformation. We're already seeing how AI in medicine can hallucinate and fabricate information, creating a new layer of noise. The core problem is that the tools for verifying information haven't kept pace with the tools for creating and distorting it.
🚀 The Solution
It's time for a tool that helps us critically ignore bad data. Enter Veriphy.
Veriphy is an AI-powered platform that instantly assesses the integrity of any scientific study. Paste in a URL or a PDF, and Veriphy analyzes funding sources, author histories, conflicts of interest, and statistical methods to generate a simple bias and validity score. It's designed to help you stop wasting time on compromised research and focus on work that actually matters.
