plinary action and/or discharge utilizes a separate factual situation.’ ” Mozee v. Jeffboat, Inc., 746 F.2d 365, 372 (7th Cir.1984). Gross statistical disparities between black and white discharge rates may be a telltale sign of purposeful discrimination. Teamsters, 431 U.S. at 339 n. 20, 97 S.Ct. at 1856 n. 20. Once a plaintiff has eliminated “the most common nondiscriminatory reasons” for the act complained of, Burdine, 450 U.S. at 254, 101 S.Ct. at 1094, i.e., by showing that the minority individual receiving the allegedly discriminatory treatment was otherwise basically similarly situated to nonminorities receiving more favorable treatment, the plaintiff is entitled to “an inference that an employment decision was based on a discriminatory criterion illegal under the Act.” Teamsters, 431 U.S. at 358, 97 S.Ct. at 1866 (footnote omitted). When large numbers of employment decisions are under scrutiny, these comparisons can be accomplished statistically. Statistics may be the most practical means of comparison when groups, rather than individuals, are involved.16 Accordingly, courts have sometimes relied on statistical evidence as the best means of showing the cumulative effects of employment actions, and courts have inferred unlawful discrimination from statistically significant disparities in the treatment of comparably situated protected and nonprotected groups. See, e.g., Lilly v. Harris-Teeter Supermarket, 720 F.2d 326, 336 & n. 20 (4th Cir. 1983), cert. denied, — U.S.-, 104 S.Ct. 2154, 80 L.Ed.2d 539 (1984); Pegues v. Mississippi State Employment Service of the Mississippi Employment Security Commission, 699 F.2d 760, 765 (5th Cir.), cert. denied, — U.S. -, 104 S.Ct. 482, 78 L.Ed.2d 679 (1983). The difficulty of showing comparability of situations is a significant limitation on the probative value of statistical evidence in discipline cases, Mozee, 746 F.2d at 372, but this difficulty does not justify a finding that statistical evidence is useless. Where, as here, the parties attempt to control for differences in disciplinary records and other factors, statistics have the potential of aiding the fact-finder.
We think the district court also was mistaken in its acceptance of some of the other methodological criticisms lodged at plaintiffs’ statistical studies. For example, the court accepted the defendants’ criticism that plaintiffs’ statistical evidence was unreliable because it included data from 1973 and prior to the mid-1974 class liability cut-off date. We note, however, that courts have recognized that data on employment practices that occurred prior to the liability period do have some probative value, though less than data focusing on practices after the liability cut-off date. See Trout v. Lehman, 702 F.2d 1094, 1104 (D.C.Cir.1983), vacated and remanded on other grounds, — U.S. -, 104 S.Ct. 1404, 79 L.Ed.2d 732 (1984). Moreover, this criticism became moot after Dr. DiPrete repeated each of his survival analy-ses and considered only employees hired after August 21, 1974.
We need not detail all of our concerns with the district court’s treatment of the statistical evidence, however, because we think this case eventually narrowed down to several discrete issues: (1) whether pooling of the data is appropriate; (2) which party bears the burden of persuasion on the issue of whether a variable is tainted by past discrimination; and (3) what is the appropriate measure of disciplinary history. We will discuss each in turn.
The most disputed statistical issue concerned whether the experts should have pooled the data into a single sample or used year-by-year samples. Dr. Neumann, the defendants’ expert, testified that he
16
The ability to compare groups statistically, such as through a survival or multiple regression analysis, may depend on several considerations. One court has listed four such considerations: Agarwal v. Arthur G. McKee & Co., 19 Fair Empl.Prac.Cas. (BNA) 503, 506 (N.D.Cal.1977).