How Duflo illustrates the Premise-'Correlation does not Prove Causation'
Notably, correlation only depicts the relationship between variables without explaining why or how variables are related regarding the change. Hence, correlation does not prove causation since causation is simultaneous with the change in values constantly affecting another variable. In this case, the presenter proves that despite the help and much spending on countries like Kenya, there is still little to no change noticed (Duflo, 2019). The assistance offered; lentils, bed nets and deworming to change immunization rates, malaria deaths, and education respectively have limited connection to the outcome.
Therefore, there is persistent poverty due to lack of immunizing children, malaria, and failure to get children into school in these regions without providing comprehensive answers just like the aspect of correlation. The assistance does not prove causation since causation involves experiencing cause and effect. For instance, the presenter could explain the reasons for the problems of malaria, poor immunization, and poor education with particular answers or the causes that relate to these limitations. Therefore, Duflo proves that correlation does not prove causation.
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How Duflo emphasizes the Importance of Experiments in Showing Causation
The importance of experiments is to provide solutions to questions that lack answers, thus, explaining the cause of the problem. Duflo, therefore, emphasizes the importance by giving answers to experimented situations such as malaria and bed nets in Kenya. The presenter underscores the need for knowledge to alleviate poverty basing on data rather than the existent guesswork (Duflo, 2019). More so, she stresses how people are not better if they do not know whether they are doing well especially when they try out to solve situations, which fail or succeed. Hence, the determination of the causation is much important to her instead of living without full knowledge of the results. Besides, experiments to determine causation allow the distinguishing of methods that work and those that do not. There is an easy way of moving from the intention to act and devise methods to reduce unrealistic expenditure on the situations that seem not to change.
Reference
Duflo, E. (2019). Social experiments to fight poverty. Retrieved from https://www.ted.com/talks/esther_duflo_social_experiments_to_fight_poverty#t-631662
