We expose B to X, and we get a result of 15U. That isn't statistically significant.
B isn't affected by X.
The result for condition A is significantly different from zero (i.e., it "is significant"), while the result for condition B is not (the confidence interval for A does not include zero, but the confidence interval for B does). However, the two confidence intervals overlap, which means that the results for conditions A and B are not significantly different from each other.
A and B => we conclude C
There is a fairly well known blogger (Shalizi) who is a statistics professor who says as one of his disclaimers that he has never actually taken a statistics class. He goes on at length about how terrible the average scientist is at statistics.
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