We want to extend the analysis to the further 104 countries with populations of more than 50,000 for which we have not been able to find IQ data. For these 104 countries we have estimated the IQs. Two principles have been adopted for making the estimates of national IQs for those countries for which data are lacking. First, it is assumed that national IQs which are unknown will be closely similar to those in neighboring countries whose IQs are known. It can be seen from the results set out in Table 6.1 that neighboring countries normally have closely similar IQs. Thus, for instance, the IQ in both Germany and the Netherlands is 102; the IQ in Japan is 105 and the IQ in South Korea is 106; the IQ in Argentina and in Uruguay is 96; the IQ in Uganda is 73 and in Kenya 72; and so forth. It is therefore assumed that where national IQs are unknown, they will be closely similar to those in neighboring countries. ...
A second principle for the estimation of national IQs has been used for several
countries which are
racially mixed and for which there is no similar neighboring country. In these cases we have assigned IQs to the racial groups on the basis of the known IQs of these groups in neighboring countries. For example, Cape Verde, the archipelago off the coast of Senegal, has a population which is 1 percent white, 28 percent black and 71 percent mixed black-white (Philip's, 1996). On the basis of the IQs of these groups in South Africa, it is assumed that the whites have an IQ of 94, the blacks of 66 and the mixed of 82, the IQ of South African coloreds (see Appendix 1). Weighting these figures by the percentages in the population gives an IQ of 78. ....
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