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We explore environmentally-induced tumors in the context of the ongoing conflict between long-evolved cancer control mechanisms and the central flaw of multicellularity, using a number of convergent necessary conditions statistical models based on the Data Rate Theorem linking control and information theories. Multicellular cancer suppression is an inherently unstable dynamic process that can fail through sufficient environmental insult, in particular for humans, involving the synergism of chemical exposures with the chronic inflammation of 'social' exposures that may be seen as accelerated aging.
The Data Rate Theorem hasn't yet percolated into control theory treatments of cancer development and progression. This is a preliminary attempt at such diffusion.