# causation

İngilizce - Türkçe
sebep olma
{i} neden olma
sebep sonuç
neden

Korelasyon nedenselliğe eşit değildir. - Correlation doesn't equal causation.

Korelasyon nedensellik anlamına gelmez. - Correlation doesn't imply causation.

{i} sebep
{i} neden sonuç ilişkisi
nedensellik

Korelasyon nedensellik anlamına gelmez. - Correlation doesn't imply causation.

(Kanun) illiyet
ultimate causation
(Pisikoloji, Ruhbilim) nihai nedensellik
İngilizce - İngilizce
The act of causing; also the act or agency by which an effect is produced
{n} the power, act or quality, of causing, the agency of a cause, agency
The relationship that must exist between the defendant’s action and the plaintiff’s loss
The relation of cause and effect, ie: that the negligent action caused the injuries
Click to check definition the idea that everything has been caused (started off) by something else For religious people this 'something else' is God
the act of causing something to happen
relationship that results when an change in one variable is not only correlated with but actually causes the change in another one
a relation of cause and effect between variables in which one variable is a determinant of another variable (chapter 1)
The causation of something, usually something bad, is the factors that have caused it. The gene is only part of the causation of illness
The inference that a change in one variable is responsible for an observed change in another variable
(From Latin causa: "reason ") The act or agency that produces an effect, result, or consequence
{i} act of producing an effect
The legal requirement that an act produce an injury or help to produce an injury and if the injury would not have happened without the act
The force behind an effect
Causation is a study of the factors involved in causing something. Relation that holds between two temporally simultaneous or successive events when the first event (the cause) brings about the other (the effect). According to David Hume, when we say of two types of object or event that "X causes Y" (e.g., fire causes smoke), we mean that (i) Xs are "constantly conjoined" with Ys, (ii) Ys follow Xs and not vice versa, and (iii) there is a "necessary connection" between Xs and Ys such that whenever an X occurs, a Y must follow. Unlike the ideas of contiguity and succession, however, the idea of necessary connection is subjective, in the sense that it derives from the act of contemplating objects or events that we have experienced as being constantly conjoined and succeeding one another in a certain order, rather than from any observable properties in the objects or events themselves. This idea is the basis of the classic problem of induction, which Hume formulated. Hume's definition of causation is an example of a "regularity" analysis. Other types of analysis include counterfactual analysis, manipulation analysis, and probabilistic analysis
- The defendant's action must be a direct cause of the crime
The rule particularly in criminal law that the defendant has to have caused the result or consequence The causation can be either in law or fact So, death is the result or consequence of murder and has to be strictly proved by the prosecution Often the 'but for test' is applied, 'but for what the defendant did would the result have occurred?'
In causal relations between events, if an event of the first kind occurs, an event of the second kind will or must occur, and the first event will explain the occurence of the second event Possibly items other that events can enter into causal relations Since Hume, we have been puzzled about whether causal relations are real or are just matters of our imposing our habits upon the world and over the nature of causal necessity
A relationship between bivariate variables X and Y that holds when it is known that varying X causes a change in the value of Y; a correlation, even when large, between X and Y does not imply causation
An effect of one or more variables on another variable
the relationship that results when a change in one variable is not only correlated with but actually causes a change in another variable; the change in the second variable is a consequence of the change in the first variable, rather than both changes being a consequence of a change in a third variable
correlation does not imply causation
The observed correlation between two parameters, say, the growth of a market and the growth of a neighbor's child may, in fact, have nothing to do with each other's causation
causation

cau·sa·tion

kôzeyşın

## Telaffuz

/ˌkôˈzāsʜən/ /ˌkɔːˈzeɪʃən/

## Etimoloji

[ ko-'zA-sh&n ] (noun.) 1615. cause +‎ -ation

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