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The counts-in-cells (CIC) galaxy probability distribution depends on both thedark matter clustering amplitude $\sigma_8$ and the galaxy bias $b$. We presenta theory for the CIC distribution based on a previous prescription of theunderlying dark matter distribution and a linear volume transformation toredshift space. We show that, unlike the power spectrum, the CIC distributionbreaks the degeneracy between $\sigma_8$ and $b$ on scales large enough thatboth bias and redshift distortions are still linear; thus we obtain asimultaneous fit for both parameters. We first validate the technique on theMillennium Simulation and then apply it to the SDSS Main Galaxy Sample. We find$\sigma_8 = 0.94^{+.11}_{-.10}$ and $b = 1.36^{+.14}_{-.11}$, consistent withprevious complementary results from redshift distortions and from Planck.

Galaxy Bias and $\sigma_8$ from Counts in Cells from the SDSS Main Sample