Independent Replication Validates Science
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Balaji argues that independent replication, not peer review, is the true foundation of scientific validation. He presents a framework for how math and computational verification can create more trustworthy science.
Core Concept: Independent Replication vs Peer Review
- Science is based on independent replication, not peer review
- Peer review is only a proxy for independent replication
- Most peer reviews today are just emailed comments rather than actual experimental verification
- True validation comes from being able to download and run code/experiments yourself
The Problem with Current Science
- Science has become the basis of civilization, replacing religion
- Scientific premises drive policy decisions (emissions, masks, etc.)
- Current system relies too heavily on institutional authority
- Trust has been eroded by incidents like the "noble lie" about masks during pandemic
- Many studies have 0 replications but are treated same as well-proven theories
Math as Superior to Science
- Math allows for verification without specialized equipment
- Everyone has computers, enabling mathematical verification
- Example: Bitcoin/crypto defeated traditional economic theories through mathematical proof
- Mathematical verification is more accessible than scientific replication
- Crypto shows how mathematical consensus can work at scale
- Transaction confirmations are like independent replications
- Multiple miners verify each transaction mathematically
Future Framework: Science on the Blockchain
- Scientific papers could be fully reproducible from underlying data and code
- All calculations could be independently verified
- Papers could be compared against each other in common formats
- Citations could be traced and verified through blockchain
- Benefits:
- Makes science more checkable and cumulative
- Reduces reliance on central authorities
- Creates universal format for scientific communication
- Enables verification of calculations and premises
- Makes citation trails traceable and verifiable
Key Distinction in Scientific Validity
- True science has trillions of independent replications (like Maxwell's equations)
- Modern studies often have zero replications
- Number of independent replications, not citations, should be the measure of validity
- Engineering success proves scientific validity through practical replication
02:11:15 - 02:15:38
Full video: 02:36:35BS
Balaji Srinivasan
Former CTO of Coinbase and co-founder of genetic-consulting company Counsyl Inc. Holds a Ph.D. in Electrical Engineering from Stanford University.
Investor and author with expertise in biotech, computational genomics, and blockchain technology. Published "The Network State: How to Start a New Country" in 2022.
Advocates for cryptocurrency and technocapitalism, currently establishing The Network School near Singapore.