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::::: Nonetheless, claiming that the lack of expected scaling disproves the entire paper is still an unsupported methodological leap. The point is that based on the good P-values, the Cit+ clones arose later than expected in all three replays (independent of one another) based on the mathematical model of the null hypothesis. Thus it was apparently not a single, fortuitous and completely random event. I explain that under #3 below as it is better suited to that section.[[User:Kallium|Kallium]] 09:01, 30 July 2008 (EDT)
::::: Nonetheless, claiming that the lack of expected scaling disproves the entire paper is still an unsupported methodological leap. The point is that based on the good P-values, the Cit+ clones arose later than expected in all three replays (independent of one another) based on the mathematical model of the null hypothesis. Thus it was apparently not a single, fortuitous and completely random event. I explain that under #3 below as it is better suited to that section.[[User:Kallium|Kallium]] 09:01, 30 July 2008 (EDT)
::::::The third replay experiment was similar in design but clearly, not the same in some aspects. As I noted previously, their plating densities were higher in the third experiment. That was an change in the experimental conditions. Blount et al. noted that the results produced a smaller number of mutants than expected -- assuming the conditions really were comparable -- but apparently, the conditions were not effectively the same.--[[User:Argon|Argon]] 20:52, 31 July 2008 (EDT)
:3)The claim that the use of Monte Carlo resampling test was an error is unsupported by argument or counterclaim. ''Why'' is the use of that test an error? Problematically, if the test itself is invalid, why are you willing to accept the p-value for the third replay? Furthermore, the Monte Carlo test was not the test used to combine the three experiments to arrive at the final p-value of p<0.0001 - that was a Z-transformation method. Perhaps your real objection lies with this technique rather than the Monte Carlo test.
:3)The claim that the use of Monte Carlo resampling test was an error is unsupported by argument or counterclaim. ''Why'' is the use of that test an error? Problematically, if the test itself is invalid, why are you willing to accept the p-value for the third replay? Furthermore, the Monte Carlo test was not the test used to combine the three experiments to arrive at the final p-value of p<0.0001 - that was a Z-transformation method. Perhaps your real objection lies with this technique rather than the Monte Carlo test.