A Quote by George Monbiot
We should be cautious about embracing data before it is published in the academic press, and must always avoid treating correlation as causation.
Related Quotes
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.
The big mystery of Big Data is causation versus correlation.
If ... we choose a group of social phenomena with no antecedent knowledge of the causation or absence of causation among them, then the calculation of correlation coefficients, total or partial, will not advance us a step toward evaluating the importance of the causes at work.
Correlation is not causation.
I'm very familiar with how people can confuse correlation with causation.
Don't confuse correlation and causation. Almost all great records eventually dwindle.
All too often when liberals cite statistics, they forget the statisticians' warning that correlation is not causation.
The liberty of the press is indeed essential to the nature of a free state: but this consists in laying no previous restraints upon publications, and not in freedom from censure for criminal matter when published. Every freeman has an undoubted right to lay what sentiments he pleases before the public: to forbid this, is to destroy the freedom of the press: but if he publishes what is improper, mischievous, or illegal, he must take the consequence of his own temerity.
I have never been in a bad mood and near a beach ball at the same time. Causation? Correlation? Or fate?
Correlation doesn’t imply causation, but it does waggle its eyebrows suggestively and gesture furtively while mouthing ‘look over there.’
The traveller must, of course, always be cautious of the overly broad generalisation. But I am an American, and a paucity of data does not stop me from making sweeping, vague, conceptual statements and, if necessary, following these statements up with troops.
Sometimes differences arise partly from incomplete information. We are finite. And we should admit that there are cases of uncertainty. But often the differences become exacerbated because of sinful inclinations underneath the surface, which incline us to prefer our own ideas and not to submit to what is less comfortable. We must be cautious about accusing anyone else of sin. We don't know people's hearts. But we must also avoid being naïve about the subtlety of sin and the corrupting effects of sin on the mind - our own minds, not only the mind of the other fellow.
We should have companies required to get the consent of individuals before collecting their data, and we should have as individuals the right to know what's happening to our data and whether it's being transferred.
I don't believe in data-driven anything, it's the most stupid phrase. Data should always serve people, people should never serve data.
As we talk about the need to foster academic achievement, we must recognize and reward those who strive academically, just as we honor athletic champions. Meeting the President of the United States is just the honor we should bestow on our academic champions.
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