Until relatively recently, all money lenders were in the business of confounding their customers as to the true cost of borrowing money from them. This was because many people would have had serious doubts if they knew the total cost of borrowing, and the lenders would then lose business and their livelihood.
Around 40-50 years ago many governments, across the world, insisted that formal financial institutions were up front about their interest rates and confounding was significantly reduced. However, it continued, as before, in the unregulated sector - the loan sharks, for example. Often, interest over a short period was highlighted to conceal the annual rate. For example, 5% per week does not sound like much but it is more than 1000% over a year. So if you borrow GBP 100, you will have to pay back more than GBP 1100 a year later! The 5% was quoted to confoud, astound, nonplus you!
But, just in case you meant compound interest, this is interest that is charged not just on the capital but also on any interest accumulated from previous periods.
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Allows for potential confounding
confounding variable
In statistics a confounding variable is one which can give rise to spurious correlations. For example, my age is fairly well correlated with the number of television sets in the UK. This is not because my getting older sells more TV sets, nor is it because the sale of TV sets makes me grow older. The real reason is that both these are correlated with time and, as the years pass, both increase. So, time is the confounding variable which gives rise to an apparent relationship between TV sets and my age. Confounding variables can have serious effects when statistical methods are being used to develop a cause-and-effect model. In truth, there may be no direct causal relationship, only two independent relationships with a third variable - the confounding factor.
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