Quotes About Information

You step onto the Enterprise's transporter pad. Your information, your pattern, is scanned into a computer. And then you're destroyed, basically melted down. And a second later a copy of you is reconstituted on the planet below.

Knight wasn't lying," whispered Wexler. "You can type inside a Google search bar, and download files, but can't send anything else through cyberspace, including passwords.

So the old saying now becomes, 'the man with a thousand media outlets, each providing its own, differing spin on the news, never knows what's true.

Confirmation bias. This is our tendency to seek out information that supports and reinforces our beliefs, and ignore or discount any information that is contrary to them. So we stick to our guns, even against overwhelming evidence that we're wrong.

Instead, she had revealed the existence of what everyone else recognized as the perfect skeleton key, able to unlock every digital door in existence.

The digital revolution is far more significant than the invention of writing or even of printing.

The first 350 families agree to participate on the panel would each receive a Tandy personal computer, with 133 MHz Intel Pentium processor; a Hewlett-Packard combination printer, fax, and copier; the most advanced Nokia cellular phone; and an AT&T telephone that was not yet on the market and that offered so many features the company called it a "personal information center.

Internet nos ayuda a recordar, pero también nos lleva a abordar el pasado desde una extraña omnisciencia. Esto convierte al pasado -como todo lo demás- en rehén de cualquier arqueólogo con sed de venganza.

A human being creates complexity by writing a novel on the surface of paper; a weather system creates complexity by writing waves on the surface of an ocean. What is the difference between the information carried in the words of a novel and the information carried on the waves of the sea? Listen, and the waves will speak, and someday, I tell you, you will write your thoughts on the surface of the sea.

Anchoring bias" refers to our tendency to rely on the first information we hear.

If you know almost nothing, almost anything will tell you something.

When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the state of science. —Lord Kelvin (1824–1907),

Myth: When you have a lot of uncertainty, you need a lot of data to tell you something useful. Fact: If you have a lot of uncertainty now, you don't need much data to reduce uncertainty significantly. When you have a lot of certainty already, then you need a lot of data to reduce uncertainty significantly. In other words—if you know almost nothing, almost anything will tell you something.

Understanding how to measure uncertainty is key to measuring risk. Understanding risk in a quantitative sense is key to understanding how to compute the value of information. Understanding the value of information tells us what to measure and about how much effort we should put into measuring it.

Any decision we think we are about to make is something that can be Googled before we commit to a choice.

It seems that to have a truly profound revelation, you almost always have to look at something other than what you have been looking at in the past. Being able to compute the value of information has caused organizations to look at completely different things—and doing so has frequently resulted in a surprise that changed the direction of a major decision.

The first 100 samples reduce uncertainty much more than the second 100. In fact, even the first 10 samples tell you a lot more than the next 10. The initial state of uncertainty tells you a lot about how to measure it.

we know that decision makers will experience an increase in confidence in their decisions even when the analysis or information-gathering methods are found to be ineffectual. This is part of what Dawes called the "illusion of learning.

One writer has helpfully noted that education is about formation, not so much information.

Knowing a great deal is not the same as being smart; intelligence is not information alone but also judgment, the manner in which information is collected and used

el término sintergia se aplica a toda estructura informacional que posea interconectividad entre sus partes, coherencia e inclusión-convergencia informacional.

Las ideas son algoritmos y éstos no son otra cosa más que patrones organizados que contienen (en una estructura) cantidades enormes de información codificada

Algoritmo: Un algoritmo es un patrón, una estructura, una forma matemática o cualquier otro proceso capaz de contener grandes cantidades de información en una forma reducida y concentrada. Un buen ejemplo de un algoritmo es la estructura del ADN capaz de contener toda la información que concentra su estructura. En el caso del ADN, su decodificación da lugar a un cuerpo.

Algoritmización: Se refiere al proceso de obtener algoritmos a partir de la información cruda . Es un mecanismo de concentración de datos y aumento de la densidad informacional.