A Quote by Sheila Jasanoff

Climate change is there as a reminder that we can get richer and safer societies that are also consuming more and more to the point where the stability of Earth's systems is being challenged at potentially catastrophic levels. I don't think we can stop that. Just the very same worries I have about prediction on the positive progressive side - I mean, predictions that say we'll be great, we'll be fine - also apply to predictions that are too catastrophic. I'm not sure we get those predictions right either.
Every New Year comes with a list of predictions. Self-predictions, world predictions, how many times Lindsay Lohan will get arrested predictions, etc. I reserve the annual trend for people with genuine psychic ability and/or bloggers.
I have been a biologist for a long time, and I hope I never stop getting shivers in my spine when I think about the beauty of how we come to know things in biology. Biologists make predictions, then they go out into the field or the lab to see if their predictions hold up. When hundreds of predictions of this sort are fulfilled, a theory reaches the point where it becomes certain, at least on a broad level. And that is where we are with evolution.
It makes no sense to seek a single best way to represent knowledge-because each particular form of expression also brings its particular limitations. For example, logic-based systems are very precise, but they make it hard to do reasoning with analogies. Similarly, statistical systems are useful for making predictions, but do not serve well to represent the reasons why those predictions are sometimes correct.
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
I have never seen myself as an alarmist but rather as a scientist with a critical viewpoint, and in that sense I have always been a skeptic. I have devoted most of my career to developing models for predicting the weather, and in doing so I have learned the importance of validating forecasts against observed weather. As a result, that's an approach I strongly favor for "climate predictions." It's essential to validate model results, especially when dealing with complex systems such as the climate. It's essential do so properly if such predictions are to be considered credible.
Most successful pundits are selected for being opinionated, because it's interesting, and the penalties for incorrect predictions are negligible. You can make predictions, and a year later people won't remember them.
Science is not, despite how it is often portrayed, about absolute truths. It is about developing an understanding of the world, making predictions, and then testing these predictions.
I don't like being called a denier because deniers don't believe in facts. There are no facts linking the concentration of atmospheric carbon dioxide with imminent catastrophic global warming there are only predictions based on complex computer models.
I accept that climate change is a challenge, I accept the broad theory about global warming. I am sceptical about a lot of the more gloomy predictions.
My stories are warnings; they're not predictions. If they were predictions, I wouldn't do them. Because then I'd be part of the doom-ridden psychology. But every time I name a problem, I try to give a solution.
It is not predictions but plans that make the future. If you want predictions, it is because you do not have the ability to make a plan and fulfill it.
All buildings are predictions. All predictions are wrong.
Both angels and demons are ignorant of the future, yet they make predictions. The angels do so when God reveals the future to them and commands them to prophesy, and what they prophesy comes to pass. Demons also make predictions, but these are only guesses based on what they see from afar.
In the current scenario of climate change, predictions of extreme weather events are becoming difficult.
One may say that predictions are dangerous particularly for the future. If the danger involved in a prediction is not incurred, no consequence follows and the uncertainty principle is not violated.
I won this poll thing in England about predictions, and it was all these journalists and reporters trying to say that I was going to be big in '06. My name was at the top of their list. I was like, are you sure you've got the right person?
This site uses cookies to ensure you get the best experience. More info...
Got it!