The Compare Engine
Preference falsification is not an isolated corporate mistake—it is a repeatable institutional playbook. When executives and institutions find their public brand in tension with internal objectives, they deploy the exact same linguistic and procedural evasions.
Landmark Alignments
Meta × LibGen × OpenAI × LibGen
Renaming datasets vs. Renaming Slack channels
“Meta renames 'pirate' to 'external'; OpenAI renames '#excise-libgen' to '#project-clear'.”
Exxon & Shell × Purdue Pharma & The Sacklers
Internal scientific certainty vs. public PR advertorials
“Exxon knew CO2 was catastrophic by 1977; Purdue knew 80mg OxyContin was addictive by 1999.”
Silicon Valley No-Poach Cartel × Internal Tech Emails Canon
Unwritten agreements and auto-deleting records
“Eric Schmidt orders 'keep it verbal'; Sundar Pichai asks 'turn history off on this group please.'”
Boeing 737 MAX × The Uber Files
FAA simulation avoidance vs. Server kill switches
“Boeing pilots use 'jedi mind tricks' on regulators; Uber hits the Kill Switch during police raids.”
Facebook & Teen Well-Being × Theranos
Suppressed mental health research vs. Diluted blood analyzers
“Meta buries slides showing 1-in-3 teen girls harmed; Holmes claims autonomous single-drop biochemistry while using Siemens.”
OpenAI Non-Profit to For-Profit × Internal Tech Emails Canon
Altman & Musk founding emails vs. Silicon Valley titan backchannels
“Non-profit open science rhetoric contrasted with cap-table sovereignty and strategic acquisitions.”
Complete Alignment Matrix
Select any two rooms with overlapping evasion mechanisms to view side-by-side evidence