Vertex Miscreconstruction in Z->ee Events S. Glenn The fraction of multi-vertex events in which the primary vertex was misidentified was estimated using Z->ee candidates from a sample corresponding to about 60/pb. Loose kinematic and quality cuts were applied to the W/Z group dielectron sample: isolation<0.15, H-Matrix chi-square < 200.0, ET>15 GeV. The resulting subsample had an average of 2.0 vertices per event, and the number of multi-vertex events was roughly equal to the number of single vertex events. In order to identify events with misidentified primary vertices, a cluster/track matching algorithm was used which ignored all vertex information. Each track in the event was projected to the cluster centroid in EM3 and the azimuthal and longitudinal distances of closest approach were computed. For clusters in the both in the CDC/CC and FDC/EC, these distances were required to be less than 10 cm for a good cluster/track match. For events in which two clusters had matching tracks, the best match was project to the beamline using the polar angle measured by the respective tracking systems. The distance of the average of these two projections from the vertex was used to discriminate between "correct" and "incorrect" primary vertices. (In a subsample of CC/CC events containing only one vertex, this techihique yielded an RMS of 3.9 cm for the projected distance from the vertex.) Events in which the projected distance from the first vertex was greater than 10 cm and the distance to the second vertex was less than 10 cm were considered to be misreconstructed events. For CC/CC events with two or more vertices, the dielectron mass was recalculated using polar angles measured with respect to the second vertex. The misreconstruction probability was then calculated by dividing the number of Z's with misreconstructed vertices by the total number of Z's in the multivertex sample. This yielded a primary vertex misreconstruction probability of 23%. This number is valid only for Z->ee events and there is some evidence for jet multiplicity dependence.