Fiercely Independent Guy/Gadfly, Innovator's DNA, and Chaos Monkey

I was telling one of my good friends who will tell me when I am wrong the story about how one of my other good friends described me as a Fiercely Independent Guy.  She says, "remember, I am the one who said you are a gadfly.  So, you can still be use the FIG acronym - Fiercely Independent Gadfly, instead of Fiercely Independent Guy.  Now it was one thing to describe myself as the Fiercely Independent Guy, it is another to say I am Fiercely Independent Gadfly.

What is a Gadfly?  Merriam's definition.

Definition of GADFLY

1 : any of various flies (as a horsefly, botfly, or warble fly) that bite or annoy livestock

2 : a person who stimulates or annoys especially by persistent criticism

It can hurt to be called a Gadfly.

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These two people who categorized me as a gadfly could not be more different - one a Prince of the institutional church, almost 70 years old; the other a model for the Jesus follower of the future, recognized by many for his genius with people that the church routinely does not welcome.  What they have in common is (a) they are 2 of the most powerful men in churchianity I know personally and (b) they took the time and effort to call me a gadfly.  When both of them said this term, in very different settings,  it was meant as a slur, a term of disparagement - and trust me, it hurt.

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There is a funny thing about this slur - inside many institutions, it is a term to shut down new ideas, criticism or even challenges to power or sacred cow.   Outside some of the most fallow institutions, these very characteristics are not a negative category or a way to stifle new life - they are, in fact, the core ethos the organizations strives to achieve.  As is so often the case, a word meant to demean is actually a word of holiness, redeemed as part of our essence as beloved creatures made in God's image.

Do you know who is one of the most famous Gadfly is?  Socrates.

The term "gadfly" (Ancient Greek: μυω̃ψ, myops)[1] was used by Plato in the Apology[2] to describe Socrates' relationship of uncomfortable goad to the Athenian political scene, which he compared to a slow and dimwitted horse. During his defense when on trial for his life, Socrates, according to Plato's writings, pointed out that dissent, like the gadfly, was easy to swat, but the cost to society of silencing individuals who were irritating could be very high. "If you kill a man like me, you will injure yourselves more than you will injure me," because his role was that of a gadfly, "to sting people and whip them into a fury, all in the service of truth." This may have been one of the earliest descriptions of pragmatic ethics.

The nice thing is with 30 years in the industry I've developed more patience and you can achieve results without being overzealous.

The Innovator's DNA is an example of a more tactful way to be a gadfly.

  • Associating—drawing connections between questions, problems, or ideas from unrelated fields
  • Questioning—posing queries that challenge common wisdom
  • Observing—scrutinizing the behavior of customers, suppliers, and competitors to identify new ways of doing things
  • Networking—meeting people with different ideas and perspectives
  • Experimenting—constructing interactive experiences and provoking unorthodox responses to see what insights emerge

When engaged in consistently, these actions—questioning, observing,networking, and experimenting—triggered associational thinking to deliver new businesses, products, services, and/or processes. Most of us think creativity is an entirely cognitive skill; it all happens in the brain. A critical insight from our research is that one’s ability to generate innovative ideas is not merely a function of the mind, but also a function of behaviors. This is good news for us all because it means that if we change our behaviors, we can improve our creative impact. By completing an Innovator’s DNA assessment, you can better understand your personal innovation skill strengths and learn how to make them even better.

Was Socrates an Innovator, labeled as a Gadfly with critics hoping he would go away?

Socrates was in all things an innovator, in religion, in as much as he sought to eliminate from the theology of his contemporaries “those lies which poets tell “; in politics, in as much as he distrusted several institutions dear to Athenian democracy; in education, in as much as he waged war against authority, and in a certain sense made each man the measure of his own actions.

It is because Socrates was an innovator that we, who see in him the founder of philosophical inquiry, regard him as a great man; it was because Socrates was an innovator that old -fashioned Athenians, who saw’ in the new fangled culture the origin of all their recent distresses and disasters, regarded him as a great criminal.

The Gadfly label is applied as Socrates was a gadfly to a horse.

The term "gadfly" (Ancient Greek: μυω̃ψ, myops)[1] was used by Plato in the Apology[2] to describe Socrates' relationship of uncomfortable goad to the Athenian political scene, which he compared to a slow and dimwitted horse.

Isn't this the same as Mike Manos's talk on Chaos Monkeys, Donkeys and Innovation of Action?

In my talk I tried to focus on what I felt to be emerging camps at the conference.    To the first, I placed a slide prominently featuring Eeyore (from Winnie the Pooh fame) and captured many of the quotes I had heard at the conference referring to how the Cloud, and new technologies were something to be mistrusted rather than an opportunity to help drive the conversation.     I then stated that we as an industry were an industry of donkeys.  That fact seems to be backed up by data.   I have to admit, I was a bit nervous calling a room full of perhaps the most dedicated professionals in our industry a bunch of donkeys – but I always call it like I see it.

I contrasted this with those willing to evolve their thought forward, embrace that Innovation of Action by highlighting the Cloud example of Netflix.   When Netflix moved heavily into the cloud they clearly wanted to evolve past the normal IT environment and build real resiliency into their product.   They did so by creating a rogue process (on purpose) call the Chaos Monkey which randomly shut down processes and wreaked havoc in their environment.   At first the Chaos Monkey was painful, but as they architected around those impacts their environments got stronger.   This was no ordinary IT environment.  This was something similar, but new.  The Chaos Monkey creates Action, results in Action and on the whole moves the ball forward.

Interestingly after my talk I literally have dozens of people come up and admit they had been donkeys and offered to reconnect next year to demonstrate what they had done to evolve their operations.

So, if you are called a Gadfly, maybe the person is a Horse or a Donkey, and you are a Chaos Monkey, an Innovator.

" Criticism may not be agreeable, but it is necessary. 
It fulfills the same function as pain in the human body. It calls attention to an unhealthy state of things."
- Winston Churchill

"A society that gets rid of all its troublemakers goes downhill."
Robert A. Heinlein

Tricks of the Trade,"Turning Numbers into Knowledge", info for the new wave of Data Analysts

I just received from amazon.com Jonathan Koomey's Turning Numbers into Knowledge book, and one of the things that caught my eye is the Foreword where

There is nothing else like this book out there.
Nobody who deals with problems where numbers matter—and everybody in today’s world really needs to—should be without it.
John P. Holdren*
Woods Hole, MA, October 2007

And Professor Holdren explains the "Tricks of the Trade" course he taught at UC Berkeley.

Berkeley’s guardians of academic respectability eventually made me change what they regarded as too frivolous a title for the course to “Professional Methods for Interdisciplinary Careers”, but the focus remained the same for the 15+ years that I taught it. It covered ways of thinking through complex problems; how to find and manage information; how to function in a committee; how to identify and avoid common pitfalls in the interpretation of data; how to present results clearly in words, graphs, and tables; how to manage one’s time; and even how to avoid jet lag.

Many students over the years suggested that I should write a book teaching the “Tricks of the Trade”. Notwithstanding my advice to others about time management, however, I never found the time to write it.

With the 2001 publication of the first edition of Jonathan Koomey’s remarkable book, Turning Numbers into Knowledge, I realized that I no longer needed to try. Dr. Koomey, who had taken my course in the 1980s as a Berkeley graduate student, had plenty of ideas of his own about the need and how to fill it. And the book that he wrote surpassed what I would have done, if I had found the time, in every important respect

WSJ has a post on how there is a new wave of Business Schools planning to educate students in data analysis.

Business Schools Plan Leap Into Data

By MELISSA KORN And SHARA TIBKEN

Faced with an increasing stream of data from the Web and other electronic sources, many companies are seeking managers who can make sense of the numbers through the growing practice of data analytics, also known as business intelligence. Finding qualified candidates has proven difficult, but business schools hope to fill the talent gap.

This fall several schools, including Fordham University's Graduate School of Business and Indiana University's Kelley School of Business, are unveiling analytics electives, certificates and degree programs; other courses and programs were launched in the previous school year.

Some of the students who are thinking of getting into Data Analytics should consider Jonathan Koomey's book, Turning Numbers into Knowledge.

Turning Numbers into Knowledge: Mastering the Art of Problem Solving

Jonathan Koomey's v2.0 of Data Center Energy use shows slower growth than expected

 

The NYTimes has an article about Jonathan Koomey's research.

Data Centers’ Power Use Less Than Was Expected

By JOHN MARKOFF
Published: July 31, 2011

SAN FRANCISCO — Data centers’ unquenchable thirst for electricity has been slaked by the global recession and by a combination of new power-saving technologies, according to an independent report on data center power use from 2005 to 2010.

Here is Jonathan's blog post.

My new study of data center electricity use in 2010

I just released my new study on data center electricity use in 2010.  I did the research as an exclusive for the New York Times, and John Markoff at the Times wrote an article on it that will appear in the print paper August 1, 2011.  You can download the new report here.

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I research, consult, and lecture about climate solutions, critical thinking skills, and the environmental effects of information technology.

What are the three reasons Jonathan references as the reason for slower energy use vs. the 2007 study he researched?

  1. 2008-9 economic crisis
  2. the increased prevalence of virtualization in data centers
  3. the industry’s efforts to improve efficiency of these facilities since 2005

My assumption is Jonathan as a numbers guy would put these in order of significance. So, if the economy did not hit the rough spot in 2008 - 9, then the energy growth would  be much bigger.  The economy was a bigger factor than virtualization, aka the cloud.  And virtualization cut more energy than PUE improvements.  Although as the NYTimes says it is difficult to break down the numbers, sometimes you need to trust your gut on what feels right and I agree with these assumptions.

Though Mr. Koomey was unable to separate the impact of the recession from that of energy-saving technologies, the decline in use is surprising because data centers, buildings that house racks and racks of computers, have become so central to modern life. They are used to process e-mail, conduct Web searches and handle online shopping as well as banking transactions and corporate sales reports.

But, let's look at who did double, triple, quadruple their data centers from 2005 - 2010.

Google almost tripled the number of servers from 2005 - 2010 going from 350k to 900k of servers with an energy use of 0.7 BkWh to 1.9 BkWh.

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Facebook launched in Feb 2004 and now has 100,000+ Servers.  In 2005 Facebook may have 100 servers, so 1,000 fold increase.

Zynga started in Jan 2007 probably has 50,000+ servers if you count the ones in AWS.  Infinite vs 2005

Amazon Web Services launched July 2006 has probably close to 100,000 servers.  Infinite vs. 2005.

Jonathan worked on the EPA study for 2007, and he released v2.0 update Aug 2011.  I think someone needs to fund his research so he published at least every other year. Infinite vs. 2005.

So, even though the average only moved 56%.  What is much more interesting to me is the guys who were far above the average.  Too many times people focus on the average as they can't think about the range of the numbers.  Dr. Sam Savage has called this the Flaw of Averages.

The error of a single number view vs. the range can be illustrated by the "Flaw of Averages."

The Flaw of Averages
A common cause of bad planning is an error Dr. Savage calls the Flaw of Averages which may be stated as follows: plans based on average assumptions are wrong on average.

As a sobering example, consider the state of a drunk, wandering around on a busy highway. His average position is the centerline, so...