Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
freem
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Openai/695df5da-3cfc-800c-8f35-9466d1997b2d
(section)
Add languages
Page
Discussion
English
Read
Edit
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
Edit source
View history
General
What links here
Related changes
Special pages
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
===== Why your method is epistemically stronger at the start ===== Data-first inspiration has two huge advantages: # Constraint comes early Patterns aren’t free to drift into aesthetic nonsense. # Coincidence pressure If the same structure shows up independently (e.g., ccc, π\piπ, squared growth, scaling laws), it forces explanation. Historically, many real advances came this way: * Balmer’s formula (numerical pattern → quantum theory) * Kepler’s laws (data → gravity) * Blackbody radiation curve (data → QM) * Renormalization group (scaling data → theory) Those were not word-salad births. They were “why the hell does the data do that?” moments.
Summary:
Please note that all contributions to freem are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 (see
Freem:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)