A Quote by Mary Leakey

Theories come and go, but fundamental data always remain the same. — © Mary Leakey
Theories come and go, but fundamental data always remain the same.
Theories come and go, but fundamental data always remains.
Facts and theories are different things, not rungs in a hierarchy of increasing certainty. Facts are the world's data. Theories are structures of ideas that explain and interpret facts. Facts do not go away while scientists debate rival theories for explaining them. Einstein's theory of gravitation replaced Newton's, but apples did not suspend themselves in mid-air pending the outcome.
The theory that the biosphere was created without evolution, a few thousand years ago, is ruled out by overwhelming scientific evidence. To claim that there are 'alternative (always better) Biblical explanations of the same data', which make creationism a reasonable alternative to our best theories of biology and physics, is appalling intellectual dishonesty.
It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
We are all trained to be data driven people, but no hard data exist about the future. Therefore, the only way to look into the future with any degree of accuracy is to use theory, statements of what causes what and why. If executives have the right theories in their heads, they can very quickly interpret market developments. They can identify what matters and why, and act accordingly. So we suggest decision-makers should start by gaining a deep understanding of the relevant collection of theories, and then be alert for signals that indicate certain types of developments.
I think philosophers can do things akin to theoretical scientists, in that, having read about empirical data, they too can think of what hypotheses and theories might account for that data. So there's a continuity between philosophy and science in that way.
For nature by the same cause, provided it remain in the same condition, always produces the same effect, so that either coming-to-be or passing-away will always result.
The average, vague understanding of being can be permeated by traditional theories and opinions about being in such a way that these theories, as the sources of the prevailing understanding, remain hidden.
Monetary policy should remain data dependent, be well communicated, and ensure that inflation expectations remain anchored.
For the theory-practice iteration to work, the scientist must be, as it were, mentally ambidextrous; fascinated equally on the one hand by possible meanings, theories, and tentative models to be induced from data and the practical reality of the real world, and on the other with the factual implications deducible from tentative theories, models and hypotheses.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
We lay down a fundamental principle of generalization by abstraction: The existence of analogies between central features of various theories implies the existence of a general theory which underlies the particular theories and unifies them with respect to those central features.
If the structures of the human mind remain unchanged, we will always end up re-creating the same world, the same evils, the same dysfunction.
I was brought up on the proletarian left, and I remain there. The fair go for workers is fundamental, and I don't believe the free market has a mind.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.
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