Ideas, Experts and Data

Here are some observations and insights that were shared on social media this past fortnight. I call these Friday’s Finds.

We don’t see something until we have the right metaphor to let us perceive it.” – Thomas Kuhn – via @tobiasmeyer

Humans require the difficult and messy social routing protocol of trust.” – Valdis Krebs @orgnet – via @voinonen

What if sucessful projects having a plan is just survivior bias?” – @drunkcod

Half-baked ideas – by @kmpinner #PKMastery

Just because you know how to do something doesn’t mean you should: It’s rewarding to give other people a chance to shine.
The value of the collective is sometimes better than the value of the individual: What was returned to me was far better than what I would have created myself.
Creativity needs space: If you provide someone the solution they never really have a chance to think outside the box and innovate.
It’s hard work getting over yourself: I have to remind myself daily that I do not need to have all the answers, that I can be imperfect, and that if I don’t take the chance to fail then I will never truly learn.

Be wary of Experts: In a study of 64K expert predictions over 16yrs, experts didn’t know better than a monkey throwing a dart at a board – via @rwartzman #PKMastery

Managing the information overload is a real challenge. Our default faced with the overload is to actually what I call narrow-cast — to kind of hunker down and focus in on fewer sources than ever — you know, the analyst who we always got our information from, the newsletter that we always read. But we lose in that process a lot of new forms of information that can be very useful.

So whether that’s crowdsourced information emerging out of social media, or whether it’s information that challenges our pre-existing beliefs, I think we need to consciously seek out diverse and different points of view — some points that do challenge our beliefs, because that’s another thing that we’re prone to be drawn to: information that confirms what we already believe. … We’ve got to push against that natural bias, because there’s so much research now that supports the importance of gathering different and diverse points of view and bringing those into the equation.

Data Enslavement – by @ballantine70

What didn’t get a mention was how the analytics arms race results in the best STEM graduates today being sucked out of the world of engineering, and into the world of financial services, lured by salaries that are totally out of proportion to what other industries can afford to invest. We end up deploying great minds to (tiny) marginal improvements, rather than risky step changes in how we do things. Polishing rather than building…

The social graph structures of coordinators, gatekeepers, team players, super-connectors – via @gramleth @dhinchcliffe

social graph

3 Responses to “Ideas, Experts and Data”

  1. Kate Herzog

    RE: Social Graph Structures – The source is “Leveraging Social Networks to Drive Collaboration and Improve Execution”


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