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Consideration is an English common law concept within the law of contract, and is a necessity for simple contracts (but not for special contracts by deed). The concept of consideration has been adopted by other common law jurisdictions, including in the United States .
Consideration must be an act, abstinence or forbearance or a returned promise. Consideration may be past, present or future. Past consideration is not consideration according to English law. However it is a consideration as per Indian law. Example of past consideration is, A renders some service to B at latter's desire.
An illusory promise, or one which the promisor actually has no obligation to keep, does not count as consideration. The promise must be real and unconditional. This doctrine rarely invalidates contracts; it is a fundamental doctrine in contract law that courts should try to enforce contracts whenever possible.
Currie v Misa (1875) LR 10 Ex 153; (1875–76) LR 1 App Cas 554, is an English contract law case, which in the Exchequer Chamber contains a famous statement by Lush J giving the definition of consideration in English law. Lush J said, A valuable consideration, in the sense of the law, may consist either in some right, interest, profit, or ...
Benford's law is an observation that in many real-life sets of numerical data, the leading digit is likely to be small. [21] In sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time.
The law of averages is the commonly held belief that a particular outcome or event will, over certain periods of time, occur at a frequency that is similar to its probability. [ 1 ] [ 2 ] Depending on context or application it can be considered a valid common-sense observation or a misunderstanding of probability.
Ethics in mathematics is an emerging field of applied ethics, the inquiry into ethical aspects of the practice and applications of mathematics.It deals with the professional responsibilities of mathematicians whose work influences decisions with major consequences, such as in law, finance, the military, and environmental science. [1]
In real life applications, both kinds of uncertainties are present. Uncertainty quantification intends to explicitly express both types of uncertainty separately. The quantification for the aleatoric uncertainties can be relatively straightforward, where traditional (frequentist) probability is the most basic form.