A Quote by Richard Pascale

Explicit knowledge, conventionally delivered like pizza (neat boxes with toppings of concepts, theories, best practices and war stories), is consumed by the brain but not metabolized into action. The learning we call intuition, know-how and common sense gets into the blood stream through osmosis. It is shaped by social context.
Intuition and concepts constitute... the elements of all our knowledge, so that neither concepts without an intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge.
Science is not 'organized common sense'; at its most exciting, it reformulates our view of the world by imposing powerful theories against the ancient, anthropocentric prejudices that we call intuition.
Common sense is merely unaided intuition, and unaided intuition is reasoning performed in the absense of instruments and the tested knowledge of science. Common sense tells us that massive satellites cannot hang suspended 36,000 kilometers above the one point on the earth's surface, but they do.
I don't like them with 55 toppings. I like burgers how I like my pizza: plain and simple.
Learning to learn is to know how to navigate in a forest of facts, ideas and theories, a proliferation of constantly changing items of knowledge. Learning to learn is to know what to ignore but at the same time not rejecting innovation and research.
The more toppings a man has on his pizza, I believe the more manly he is. [...] A manly man don't want it piled high with vegetables! He would call that a sissy pizza.
Our best theories are not only truer than common sense, they make more sense than common sense...
Our best theories are not only truer than common sense, they make more sense than common sense.
Listening to the data is important... but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds filtered through a human brain rather than a math model?
While tacit knowledge can be possessed by itself, explicit knowledge must rely on being tacitly understood and applied. Hence all knowledge is either tacit or rooted in tacit knowledge. A wholly explicit knowledge is unthinkable.
I love all of it, thinking up the plots, getting to know the kids in the story, their parents, backyards, pizza toppings.
Labels put people in boxes, and those boxes are shaped like coffins.
Despite popular theories, I believe people fall in love based not on good looks or fate but on knowledge. Either they are amazed by something a beloved knows that they themselves do not know; or they discover a common rare knowledge; or they can supply knowledge to someone who's lacking. Hasn't everyone found a strange ignorance in someone beguiling? . . .Nowadays, trendy librarians, wanting to be important, say, Knowledge is power. I know better. Knowledge is love.
Most learning is social, or what I call the cultural DNA. Everyone knows that word of mouth advertising is the best advertising. That's social learning.
These algorithms, which I'll call public relevance algorithms, are-by the very same mathematical procedures-producing and certifying knowledge. The algorithmic assessment of information, then, represents a particular knowledge logic, one built on specific presumptions about what knowledge is and how one should identify its most relevant components. That we are now turning to algorithms to identify what we need to know is as momentous as having relied on credentialed experts, the scientific method, common sense, or the word of God.
On your worst days do not look in the mirror and call yourself pretty. Call yourself trying, call yourself surviving, call yourself learning how to get through a day, a week, a month or year. Call yourself still learning.
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