Scientific method controversy
Keep the scientific method
Change the scientific method
Key members
George Ellis, Joe Silk, Deepak Chopra
Key members
Richard Dawid, Johannas Koelman
Key organizations
Multiple research facilities (LHC), AIP
Places for these discussions
Scholarly journals, social media (ie twitter and facebook),
Places for these disscusions
Scholarly Journals, blogs, reddit
Public acknowledgments
Public acknowledgements
Key organizations
Vast amounts of social media, Nature magazine
-Physicists spend to much time coming up with a theory and not testing it.
-Not enough money going into experimentation
-Math is not a viable substitute for experimental data
-A theory must be falsifiable to be a theory
-A theory that is sufficiently elegant is not enough for it to be a theory.
-Mathematical methods are around such that it is easier to set up framework theories and predictive theories
-There are no other alternatives for a unified theory therefore this one is must have a kernel of truth
-The other side is looking at what this group is saying in a different way then how the string theorists intended.
-Science nowadays is based off of theoretical physics that is later confirmed by experimental data.
-Falsifiability is not need for a theory to be reasonable/correct if it is a framework theory.
-One contradictory data point does not invalidate an entire theory, it means that data set is not explained by the theory.
Values/ideologies
The scientific method has been around for nearly half a millennium and the way science and physics used to be carried out is now completely different to how it used to be carried out, therefore it should be revamped to fit the modern way of conducting research.
Values/ideologies
The scientific method has been around for a long time and has prevented countless theories from taking hold in the scientific realm therefore because the method has been upheld for so long and it has worked for that long it does not need to be revamped instead the people complaining should actually get their own experimental data to confirm or deny their theory.