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portion, to be about 150. Mr Sadler states the law of population in England thus:-- "Where the inhabitants are found to be on the square mile, From To Counties Number of births to 100 marriages 50 100 2 420 100 150 9 396 150 200 16 390 200 250 4 388 250 300 5 378 300 350 3 353 500 600 2 331 4000 and upwards 1 246 "Now, I think it quite reasonable to conclude, that, were there not another document in existence relative to this subject, the facts thus deduced from the census of England are fully sufficient to demonstrate the position, that the fecundity of human beings varies inversely as their numbers. How, I ask, can it be evaded?" What, we ask, is there to evade? Is 246 to 420 as 50 to 4000? Is 331 to 396 as 100 to 500? If the law propounded by Mr Sadler were correct, the births to a hundred marriages in the least populous part of England, would be 246 x 4000 / 50, that is 19,680,--nearly two hundred children to every mother. But we will not carry on these calculations. The absurdity of Mr Sadler's proposition is so palpable that it is unnecessary to select particular instances. Let us see what are the extremes of population and fecundity in well-known countries. The space which Mr Sadler generally takes is a square mile. The population at the Cape of Good Hope is, according to him, one to the square mile. That of London is two hundred thousand to the square mile. The number of children at the Cape, Mr Sadler informs us, is 5.48 to a marriage. In London, he states it at 2.35 to a marriage. Now how can that of which all the variations lie between 2.35 and 5.48 vary, either directly or inversely, as that which admits of all the variations between one and two hundred thousand? Mr Sadler evidently does not know the meaning of the word proportion. A million is a larger quantity than ten. A hundred is a larger quantity than five. Mr Sadler thinks, therefore, that there is no impropriety in saying that a hundred is to five as a million is to ten, or in the inverse ratio of ten to a million. He proposes to prove that the fecundity of marriages varies in inverse proportion to the density of the population. But all that he attempts to prove is that, while the population i
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