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Tipping Point

Page history last edited by Dmitry Sokolov 8 years, 1 month ago

Top : Science : Methodology : Systems Thinking : Systemic Transformation : Tipping Point

 

Number of Innovators in Society    

 

Simon Sinek: How great leaders inspire action

But why is it important to attract those who believe what you believe? Something called the law of diffusion of innovation, if you don't know the law, you know the terminology. The first 2.5% of our population are our innovators. The next 13.5% of our population are our early adopters. The next 34% are your early majority, your late majority and your laggards. The only reason these people buy touch-tone phones is because you can't buy rotary phones anymore.

11:30 We all sit at various places at various times on this scale, but what the law of diffusion of innovation tells us is that if you want mass-market success or mass-market acceptance of an idea, you cannot have it until you achieve this tipping point between 15 and 18 percent market penetration, and then the system tips. I love asking businesses, "What's your conversion on new business?" They love to tell you, "It's about 10 percent," proudly. Well, you can trip over 10% of the customers. We all have about 10% who just "get it." That's how we describe them, right? That's like that gut feeling, "Oh, they just get it."


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David Braden

David Braden I am sure you have heard of the tipping point Dmitry. I do not use that terminology very often because many of the people who do are just waiting for someone else to fix things . . .

However, there will come a time when those who can influence improvements to their habitat will become so good at what they do that others will want to learn to use their power/responsibility/opportunity to improve their own habitat . . . then systemic transformation will happen quickly.

Unlike · Reply · 2 · 5 hrs

 

M Ichael Josefowicz Another way to think about tipping points is they can occur unexpectedly. In complex adaptive systems in general changes in interactions have positive feedback loops. More interactions lead to more interactions. At some - unpredictable - time the interactions create an emergent pattern which increases the possibilities of a Tipping Point. "Tipping point" is pretty much the same as "Black Swan."

In more formal terms it is a non linear state change in a far from equilibrium system. Some examples that " no one could have predicted"

The hippie phenomenon in the 1960's
The iPhone
The financial crisis of 2008.
The Arab Spring
The rise of Donald Trump.

In all cases exchange creates energy. The energy builds until it reaches critical threshold. Then some unexpected event triggers a disruption that changes the constraints. The new constraints are more efficient and use less energy.

Unlike · Reply · 2 · 4 hrs · Edited

Mark Dilley

Mark Dilley I have always thought of the TippingPoint in terms of actions David. For me it is in the context of the Chinese proverb about dropping grains of sand on a pile. Here is a reference to the idea: https://pragprog.com/maga.../2012-04/sand-piles-and-software

 

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