There is not a simple answer to that; a number of factors can come into play. From a science perspective, we're confident in the design of the data sampling and the surveys.
Speaking generally, not specific to the 4T case, having intermittent breaks in our sampling may lead to an increase in uncertainty in the provision of our advice, but it is unlikely to have an effect in terms of bias, in that it's unlikely to have a directional change in the advice that we would give, but it does tend to decrease the robustness of that advice. That's generally speaking, and not specific to the 4T case. As I said, I can take that question back for further advice.