If you extrapolate the raw numbers, then yes, you can conclude there are no Chrome users at all. But no one would accept this as fact knowing the sampling methodology.
You can, however, still build confidence intervals based on biased samples. In your example, with 100% certainty, between 0-1% of the population uses Chrome. Yet of course, even the 99.999% CI will be wrong due to the severe bias. Now, if in your example only a 1% biased sample were looked at, the 100% CI would be 0-99%. Much less information. Note that you may also still see trends in biased samples if the sample is consistent.
If biased samples were meaningless, then how are Stat Counter or Net Applications results valuable at all since they are not random samples?
You can, however, still build confidence intervals based on biased samples. In your example, with 100% certainty, between 0-1% of the population uses Chrome. Yet of course, even the 99.999% CI will be wrong due to the severe bias. Now, if in your example only a 1% biased sample were looked at, the 100% CI would be 0-99%. Much less information. Note that you may also still see trends in biased samples if the sample is consistent.
If biased samples were meaningless, then how are Stat Counter or Net Applications results valuable at all since they are not random samples?