'If the question is asked whether a considerably greater proportion of women than of men cannot comply with a given requirement or condition ... the results can be seriously misleading. If a hypothetical requirement is considered which 99.5% of men can comply with but only 99% of women, it follows that the proportion of women who cannot comply with the requirement is twice as great as the proportion of men who cannot comply. The figures relevant to the present proceedings are very much less extreme; nevertheless the arguments advanced ... are of the same kind and are, it is contended, similarly misleading.'
'... The national court must verify whether the statistics available indicate that a considerably smaller percentage of women than men is able to fulfil the requirement imposed by that measure. If that is the case, there is indirect sex discrimination, unless that measure is justified by objective factors unrelated to any discrimination based on sex.'
'The choice of an appropriate section of the population is our judgment an issue of fact (or perhaps strictly a matter for discretion to be exercised in the course of discharging an exclusive fact-finding function) ...'
'I would sound a strong note of caution about this. As the EAT's excellent analysis of the possible pools shows, once the impugned requirement or condition has been defined there is likely to be only one pool which serves to test its effect. I would prefer to characterise the identification of the pool as a matter neither of discretion nor of fact-finding but of logic. This was the approach adopted by this court in Barry v Midland Bank plc[1998] IRLR 138 , 144 and endorsed by Lord Slynn on further appeal[1999] IRLR 581 , 584. Logic may on occasion be capable of producing more than one outcome, especially if two or more conditions or requirements are in issue. But the choice of pool is not at large.'
"The problem I see is when one looks at qualifiers as a percentage of the whole pool aged up to 79, the advantaged group is so much bigger than the non-advantaged. I focused on the size of men and women who were disadvantaged. Your [the Respondent's] way expresses one number as a percentage of a much bigger number which ends up with very small differences, and doesn't convey the fact that this difference is quite significant. I agree with the Chairman that there can be some kind of drowning effect... 99% of women can qualify and 99.5% of men can. But with non-qualifiers twice as many men as women cannot qualify. The better solution to focus on each group and give each its own analysis…"
"In any event, the Statutory default is inconsistent with the government policy in the Code?"