L. Ron Hubbard Quotes

Take the situation of a scientist solving a problem, where he has certain data, which call for certain responses. Some of this set of data call for his applying such and such a law, while others call for another law.

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.

The job of the data scientist is to ask the right questions.

Our problems are not with the data, itself, but arise from our interpretation of the data.

The impulse to collect data preceded the ability to make sense of it. People facing a complicated problem measure whatever they can easily measure. But the measurements by themselves don’t lead to understanding.

Aggregate statistics can sometimes mask important information.

I have more information in one place than anybody in the world.

Good data is hard to find. Hard data is good to find.

You have to put together bits and pieces of information before you can draw overall conclusions.

In politics, information is superabundant—what is needed is judgement and selectivity in dealing with that information.

There is a tendency to mistake data for wisdom…

A great many decisions just can’t be made with confidence because the data just doesn’t exist …. [however] just because we don’t have the information doesn’t mean that we can’t get it.

The answers to today's most important scientific, business, and social problems lie in data.

We mistake being able to get lots of information from everywhere very quickly with actually getting knowledge.

A judicious man looks at Statistics, not to "get knowledge, but to save himself from having ignorance foisted 'on him".

Data without generalization is just gossip.

It is difficult finding intelligence that is actionable in a lot of these places, but we have to keep trying.

Of course, having information to use is one thing. Knowing what it means and how to use it is a different story.

If the modern leader doesn't know the facts, he is in grave trouble, but rarely do the facts provide unqualified guidance.

[on education] It's knowing where to go to find out what you need to know, and it's knowing how to use the information once you get it.

The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape.

Bosses and leaders everywhere should cherish the people who bring them bad news, disappointing data or hard problems.

It's amazing how much data is out there. The question is how do we put it in a form that's usable?

The analysis of data will not by itself produce new ideas.

The intellectual equipment needed for the job of the future is an ability to define problems, quickly assimilate relevant data, conceptualize and reorganize the information, make deductive and inductive leaps with it, ask hard questions about it, discuss findings with colleagues, work collaboratively to find solutions and then convince others.