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Superficial information consumption
We browse the top of news items, we choose clickbait-y headlines and we allow tweets to inform us of global political moves. We tap into viral videos, we listen to soundbites and agree with memes.
This is a superficial way of ingesting knowledge. We never really deep dive into a topic. As a result, we know a lot of stuff, but not in that much detail: we know a little bit about a lot.
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- Known unknowns are the things we know we don’t know about (space travel, brain surgery, etc.) We can learn anytime about them but we’re not really expected to know about them.
- Unknown unknowns are the things we think we should know about, but we ...
Immediate access to knowledge makes us all feel like experts, when in reality we're not. And we certainly don’t consider ourselves to be stupid when we can research anything.
But it’s not just the rapid access to information that makes us fall for the Illusion of Expl...
The main reason for the ignorance of our own ignorance is that we don’t need to know how everyday things work. They just do. We are used to seeing them wherever we go.
We think understand complex phenomena with far greater precision and depth than we rally do. We are are subject to an illusion.
Believing we know more than we actually do can lead us to prejudice without us even knowing.
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An antilibrary is a private collection of mostly unread books. It is not an ego-boosting appendage but a research tool.
It should contain a collection of resources around themes you are curious about. It should include as many unread books as your financial means all...
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When people disagree with us we assume they are ignorant … that they lack information. So we try to convince them with information. It seldom works.
- Persuasion appeals to the emotions and to fear and to the imagination. Convincing requires a spreadshee...
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Do data scientists perform predictive analytics? Absolutely . Do non-data scientists also? Sure . However, if I were to put data scientist on one end of the predictive analytics see-saw, and on the other end, I would expect the data scientist would always hit ...
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