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Reference details
| Author(s) | Year | Title | Reference | View/Download |
|---|---|---|---|---|
Les Hatton | 2012g1 | Power-Laws and the Conservation of Information in discrete token systems: Part 1 General Theory | ArXiV 1207.5027 | arxiv_jul2012_hatton.pdf |
Synopsis and invited feedback
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| Synopsis | Invited Feedback | Importance (/10, author rated :-) ) |
|---|---|---|
| One of a pair of papers which demonstrate that the conservation of information in discrete systems such as software acts as a hidden clockwork forcing component size distributions, (functions etc.) to follow the same power-law distribution whoever built them. whatever they do and whatever technology they use.
As of 2013, the resulting predicted power-law distribution has been validated on 100 million lines of code to no less than 8 sigma, which is 3 more than the Higgs boson at the time of writing. Its pretty likely to be true then. | None yet | 10 |
Related links
| Related papers and links |
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Auto-generated: $Revision: 1.63 $, $Date: 2020/01/25 16:18:09 $, Copyright Les Hatton 2001-