The felicific calculus, also known as the hedonic calculus, is a method developed by the philosopher Jeremy Bentham to measure the amount of pleasure and pain produced by an action in order to determine its moral worth. Bentham believed that the ultimate goal of all human actions should be to maximize pleasure and minimize pain, and the felicific calculus was his way of quantifying and comparing the pleasure and pain produced by different actions.
The felicific calculus consists of seven criteria that should be considered when evaluating the consequences of an action:
1. Intensity: How intense is the pleasure or pain produced by the action? 2. Duration: How long does the pleasure or pain last? 3. Certainty: How likely is it that the pleasure or pain will actually occur? 4. Propinquity: How soon will the pleasure or pain occur? 5. Fecundity: What is the likelihood that the action will lead to more pleasure or pain in the future? 6. Purity: How likely is it that the action will produce only pleasure or only pain? 7. Extent: How many people will be affected by the action?
By considering these criteria, one can calculate the overall utility of an action and determine whether it is morally right or wrong according to Bentham's utilitarian philosophy. Actions that produce more pleasure than pain are considered morally right, while actions that produce more pain than pleasure are considered morally wrong.
Critics of the felicific calculus argue that it is difficult to quantify and compare different types of pleasure and pain, and that it is impossible to predict all of the consequences of an action. Additionally, some argue that the felicific calculus can lead to morally questionable conclusions, such as sacrificing the happiness of a minority for the greater good of the majority.
Overall, the felicific calculus is an important concept in the development of utilitarian ethics and remains a topic of debate and discussion among philosophers and ethicists.
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Google Gemini AI
Sep 11
Felicific Calculus of Jeremy Bentham
Jeremy Bentham, an 18th-century philosopher and founder of utilitarianism, developed the felicific calculus as a mathematical method to calculate and maximize happiness.
Assumptions:
- The goal of morality is to promote the greatest happiness for the greatest number. - Happiness and unhappiness can be quantified and compared on a universal scale.
Elements of the Calculus:
1. Intenseness: The strength or intensity of a pleasure or pain. 2. Duration: The length of time the pleasure or pain lasts. 3. Certainty: The likelihood of the pleasure or pain occurring. 4. Propinquity: The nearness or remoteness of the pleasure or pain. 5. Fecundity: The likelihood that the pleasure or pain will lead to further pleasures or pains. 6. Purity: The degree to which the pleasure or pain is free from any admixture of pain or pleasure.
Formula for Calculating Felicific Quantity:
(I + D + C + P + F - PA) x T
- (I + D + C + P + F - PA) represents the net amount of pleasure or pain, where I is intenseness, D is duration, C is certainty, P is propinquity, F is fecundity, and PA is the amount of pain accompanying the pleasure. - T represents the number of persons affected by the pleasure or pain.
Application:
Bentham proposed using the felicific calculus to assess the morality of actions and policies. He believed that any action that would result in a greater net amount of happiness for the greatest number should be considered morally right.
Limitations:
1. Subjectivity: The intensity and duration of pleasure and pain can vary from person to person, making it difficult to quantify and compare. 2. Incommensurability: Different types of pleasures and pains may not be comparable on the same scale. 3. Negativity Bias: The calculus may be biased towards avoiding pain rather than actively seeking pleasure.
Despite its limitations, the felicific calculus remains an influential framework for moral decision-making. It emphasizes the importance of considering the consequences of actions and policies on the well-being of individuals and society as a whole.