Semantic and task-oriented V2X communications have the potential to improve the scalability of future Vehicle-to-Everything (V2X) networks by transmitting only the most relevant information to the intended receivers. The relevance of a piece of information depends on whether it is redundant or not for an intended receiver. However, redundancy estimation is inherently challenging and error-prone in broadcast V2X communications. Redundancy estimation errors can compromise the accuracy of the estimated relevance, ultimately affecting the content of the transmitted messages. This study presents the first analysis of the impact of redundancy estimation errors on semantic and task-oriented V2X communications. In particular, it characterizes the probability that a redundancy estimation error prevents the delivery of relevant information at the receiver - an event that can impair the receiver’s understanding of the driving context and, potentially, its driving tasks. Our analysis also outlines conditions under which redundancy estimation errors can prevent the delivery of relevant information at the receiver. These findings provide valuable insights to understand the operation of semantic and task-oriented V2X communication systems and to optimize their performance and design.