A Quote by Francis Collins

As a scientist, you're not supposed to make decisions without the data. — © Francis Collins
As a scientist, you're not supposed to make decisions without the data.
Companies are getting bitten by hiring a data scientist who isn't really a data scientist.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
Data!data!data!" he cried impatiently. "I can't make bricks without clay.
If you're a scientist, and you have to have an answer, even in the absence of data, you're not going to be a good scientist.
We need to ask our policy makers and those we elect to office who are supposed to make decisions to give us the evidence of the facts that are behind the decisions that we make. We should be skeptical.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
Medical care is one of the only sectors in which Americans are asked to make significant, long-term decisions without knowing the exact price of those decisions up front. Americans deserve to make informed decisions about their medical options.
I'm a very good decision maker because I have core set of principles and so I can make decisions. Decisions can be very hard and you have to wrestle with them, but I'm able to get all the data on the table and figure out what would be the best decision because decisions mean ill for some people and mean positives for others.
Though the world does not change with a change of paradigm, the scientist afterward works in a different world... I am convinced that we must learn to make sense of statements that at least resemble these. What occurs during a scientific revolution is not fully reducible to a re-interpretation of individual and stable data. In the first place, the data are not unequivocally stable.
The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way we've taught managers to make decisions and consultants to analyze problems condemns them to taking action when it's too late.
In my view, our approach to global warming exemplifies everything that is wrong with our approach to the environment. We are basing our decisions on speculation, not evidence. Proponents are pressing their views with more PR than scientific data. Indeed, we have allowed the whole issue to be politicized-red vs blue, Republican vs Democrat. This is in my view absurd. Data aren't political. Data are data. Politics leads you in the direction of a belief. Data, if you follow them, lead you to truth.
The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.
A scientist naturally and inevitably ... mulls over the data and guesses at a solution. He proceeds to testing of the guess by new data-predicting the consequences of the guess and then dispassionately inquiring whether or not the predictions are verified.
When there are hiring decisions and promotion decisions to be made, people are hungry for data.
Flying for the airlines is not supposed to be an adventure. From takeoff to landing, the autopilots handle the controls. This is routine. In a Boeing as much as an Airbus. And they make better work of it than any pilot can. You're not supposed to be the blue-eyed hero here. Your job is to make decisions, to stay awake, and to know which buttons to push and when. Your job is to manage the systems.
One scientist will interpret data one way, another in another way. One scientist may feel that an experiment is valid, another feels it's invalid. That's why scientists have discussions and put forward their opinions in conferences and papers.
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