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If You Want to Be Creative, Don't Be Data Driven
Data is Not Reality
- We see organizations and the engineers who work in them steering towards big data, so it is commonly assumed that data means acumen and direction.
- Any Data, by itself, does not bring clarity. Data is just information, not reality. It does not represent anything in the field of actuality.
- Data is also, never complete. Getting more and more Data does not equate to getting more clarity.
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Beau Lotto
"There is no inherent value in any piece of data because all information is meaningless in itself. Why? Because information doesn’t tell you what to do."
Data is Not Reality
- We see organizations and the engineers who work in them steering towards big data, so it is commonly assumed that data means acumen and direction.
- Any Data, by itself, does not bring clarity. Data is just information, not reality. It does not represent anything in the field of actuality.
- Data is also, never complete. Getting more and more Data does not equate to getting more clarity.
Incomplete Data is Misleading
Our brains like to fill up incomplete information based on our prejudice and confirmation bias.
As all data is inherently incomplete, we use our minds to fill the missing information, based on the existing data we have, and that can go obverse.
Our Bias Clouds our Judgement
The way Data is presented to us triggers our bias and assumptions, blocking our options, and making us less creative.
Our judgment is clouded due to the data, so we come up with sub-par solutions to a problem.
Our Drive the Data
Our perception, creativity, and assumptions drive the outcome of the results from any given data.
Data by itself may be meaningless, but if we use it with our creativity we can harness it and turn it into something useful.
Question Everything
Play, experimentation and the ability to unlock new possibilities are also things only humans are capable of.
Inclusive Thinking
Inclusive and holistic thinking is a hallmark of human beings, something that machines cannot accomplish yet, as they cannot process information beyond the data available.
Diversity and inclusiveness in our solutions and decisions are the components of what makes the difference between human beings and data-based decisions.
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The conjunctive events bias
We often overestimate the likelihood of events that must happen in conjunction with one another.
We are optimistic in our estimation of the cost and schedule and surprised when somethi...
Conjunctive events
- Broader categories are always more probable than their subsets. It's more likely someone has a pet than they have a cat. It's more likely someone likes coffee than they like cappuccinos. The extension rule in probability theory thus states that if B is a subset of A, B cannot be more probable than A.
- Likewise, the probability of A and B cannot be higher than the probability of A or B. It is more probable that Linda is a bank teller than that she is a bank teller and active in the feminist movement.
The best plans often fail
A plan is like a system. A change in one component of a system will likely impact the functionality of other parts of the system.
The more steps involved in a plan, the higher the chance that something will go wrong and cause delays and setbacks. For this reason, home remodeling and new product ventures seldom finish on time.
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Key Ideas
Information and decision making
The fact that we live in an age of information should allow us to make super-informed, data-driven decisions all the time.
But the widespread availability of information does no...
Snap judgments
Individuals fail to anticipate how little information they and others use when making decisions.
An the immediacy of human judgment generally surprises people: we are startled by how quickly we make judgments and how little information we use doing so.
Snap judgments
We fail to anticipate how little information we (and others) use when making decisions.
The immediacy of human judgment generally surprises people: we are startled by how quickly we make judgments and how little information we use doing so.
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Key Ideas
The Real Career Landscape
The career pitfall
Today’s career landscape isn’t a lineup of tunnels, it’s a massive, impossibly complex, rapidly changing science laboratory.
Why Career-path-carving is important.
Time. A typical career will take up somewhere between 20% and 60% of your meaningful adult time.
Quality of Life. Your career has a major effect on all your non-career hours.
Impact. Whatever shape your career path ends up taking, the world will be altered by it.
Identity. We tell people about our careers by telling them what we are.
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