Not if you read and understand it. The error is comparing the analysis temp to the reported temp. So when the error is positive, the analysis temp is higher than the reported temp…therefore the sensor is reading cooler than expected.
It wouldn’t be correct to judge a sensor’s error based on these analyses because it compares the data to stations around it. Microclimates can affect these. A place like BOS, on the coast, will see higher than usual “error” with east flow in the spring and fall because of possible significant differences between the coast and places 10 miles inland.
UHIs, elevation differences, geographical differences, siting differences, etc all have an effect. What we look for are significant step changes (jumps) in the error over a short amount of time to indicate something changed with the station’s siting or instrumentation. New stations coming online can affect the analysis generated temps as well, but it doesn’t usually acount for significant shifts in the error.