Wednesday, December 24, 2014

How To Open The Doors Of Perception At Will, Without Psychedelics

by http://www.collective-evolution.com/2014/12/22/how-to-open-the-doors-of-perception-at-will-without-psychedelics/
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“The door to the soul is unlocked; you do not need to please the doorkeeper, the door in front of you is yours, intended for you,  and the doorkeeper obeys when spoken to.” -Robert Bly
What if you found out there was a key that would enable you to open and close your doors of perception at will, void of psychedelics? What if you found out you not only held the key, but you were the key? Would you unlock the doors, or keep them shut?
Well, you are the key, and whether or not you choose to enter through the doors is a choice that, although invisible, is life changing. You are the vehicle for the trip, consider this but a mere travel summary. And for a detailed itinerary?  Well, that can only be fetched by you -not the part of you reading this, but the altered dream state part of your consciousness that will travel beyond the doors of perception to the wildness of the world where there is a livingness to all things- as it can only be found in a place with exclusive access. A place where you can travel, but no one may follow -not even the conscious, waking state version of yourself scanning these very words.  
If you have experimented with psychedelics, you most likely know what it is like to sense the type of “livingness” to all things of which I speak. Even if you haven’t used psychedelics, though, you almost certainly have still experienced this same livingness to all things in the world around you to a noticeable degree at least once, but probably various times as a child -a moment where the world around you took on a shimmery glow, colours suddenly appeared brighter, sounds louder and clearer, physical sensations amplified and, most notably, you could FEEL the world around you.
I am not referring to the physical, touching type of feeling, but to the intangible, energy sense of feeling where you could almost feel the luminosity of the world around you within, and you and the luminous rested in harmony as if you were one. You were present, your perceptions altered, your senses heightened. In short,  your sensory gating channels opened to some degree, a process more commonly referred to as opening your doors of perception.  

Sensory Gating Explained: The Science Behind the Doors of Perception

The “doors of perception” are the part of our brain and central nervous system responsible for filtering input from all external stimuli, involving all of your senses -feeling (both physical and nonphysical), sight, sound, taste and smell. This process, known as “sensory gating,” enables us to decipher the difference between “me” and “not me.” Through sensory gating, we are able to manage and comprehend the constant stream of sensory data from the external environment. Without it, we would be unable to filter out what matters and what doesn’t, and all sensory data would touch us deeply and ultimately, we would become overstimulated and overwhelmed and go “crazy” -according to modern medicine, that is.
You see, many of the people who are now referred to as “schizophrenics” have wide sensory gating channels that they do not know how to close, causing an overload in stimulus.  In indigenous cultures, these people would have instead been called SHAMANS, and would have been taught how to control their doors of perception and open and close them as need be. There are ways to begin opening the doors of perception, or sensory gating channels, without using psychedelics. Of course, the experience will not be as intense or immediate, but nor will it be short lived.
Rather, by utilizing practices that help open your sensory gating channels to some degree by altering your state of consciousness, you learn to open the doors of perception into the metaphysical background of the world and continuously uncover deeper truths to yourself and the world around you. In essence, playing with the doors of perception in this manner, rather than through the use of mind altering substances, allows you to do more than have a life changing experience in which you see the deeper meanings to life for a brief period of time (i.e. a “trip”), but to change your life where every moment is an experience in a continuous journey into further, unexplored depths of life.
Listen to Aldous Huxley’s in depth description of the doors of perception, and the mechanisms through which the mind opens and closes them here

Hypnosis and Meditation

“ …those who have experimented with hypnosis find that, at a certain depth of trance, it happens not too infrequently that subjects, if they are left alone and not distracted, will become aware of an immanent serenity and goodness that is often associated with a perception of light and of spaces vast but not solitary.”(Aldous Huxley, The Devils of Loudon 99).”
Practicing hypnotherapy and/or meditation on a regular basis is an excellent way to begin dabbling into the metaphysical backgrounds of yourself and of the world by tapping into your subconscious, into otherwise ignored parts of your mind. These practices help open doors in the mind where things such as past traumas that are holding you back have remained imprisoned for years, desperately waiting for you to free them and thus yourself. Meditation and hypnotherapy are also great tools for getting in touch with your intuition, helping you to see the bigger picture of current problems, allowing you to focus on the deeper truths and lessons they withhold rather than getting trapped in the mundane surface details of your problems. In fact, when observed in this light, they eventually cease to be problems and are instead rendered avenues of inner exploration and growth. Here are some guided hypnosis and meditation sessions that may be of benefit.

The Sixth Sensory Channel: The Feeling Capacity

The 6th sensory channel, also known as the feeling capacity, refers to the ability of humans to feel, as opposed to touch. It refers to the invisible type of feeling, as opposed to the feeling sense of physical touch embodying the ingredients of the five senses of human beings. One is invisible and subjective, the other solely portrays the mostly objective experience of physical touching, of feeling the texture of a person or object. The feeling sense referring to the ability to feel the invisibles describes the feelings that stir within as we encounter various experiences in our day to day life, sometimes called a sixth sense, or the sixth sensory channel. To better understand the sixth sensory channel, consider the following example: you come home from work and ask your partner what’s wrong.
Nothing,” they brashly reply.
But, by the tone of their voice, you know nothing means everything, and that you better respond with something along the lines of, “please tell me what’s wrong,” unless you want to endure a silent dinner -one that also evokes a feeling sense, as the silence speaks volumes and is filled with tension, making you uneasy-  and sleep on the couch that night. Simply put, awakening to the feeling sense that is not often spoken of as it is not included in the five senses that we are taught we have, cultivates your feeling capacity, your ability to feel the invisible, unspoken and unseen meanings of situations, and of things both yourself and others do and say.
In order to develop your feeling capacity, pay attention to the way things feel. Interpret situations with your heart first, then your thoughts. For a deeper understanding of the sixth sensory channel and how you can begin  to reclaim your feeling sense, consider listening to this in this interview with Stephen Buhner.

Sources
‘Plant Intelligence and the Imaginal Realm: Beyond the Doors of Perception into the Dreaming of Earth,’ by Stephen Harrod Buhner
‘The Doors of Perception and Heaven and Hell,” by Aldous Huxley

Facebook: Colonialism 2.0. Managing Public Perception. The Pinnacle of Social Engineering


facebook-cops
The Western media has attempted to portray Mark Zuckerberg’s ambitious plan to get every human being online as altruistic at first, but later revealed as simply what could be called “profitable empathy.” In reality however, the truth is much more sinister, with Facebook already revealed to be much more than a mere corporation run by Zuckerberg and his “ideas”
Facebook is the pinnacle of social engineering, an online operant conditioning chamber – also known as a Skinner box – that is being used to track, trace, document, and manipulate half of the entire online population. Despite users attempting to utilize Facebook to connect and communicate with individuals and organizations of interest, Facebook has turned its features against users, insidiously manipulating their timelines to show selected posts and updates while “soft censoring” others to manage public perception.
“Studies” have even been published proving the effectiveness of Facebook’s unethical social engineering. In one study, the emotions of users were successfully manipulated by selectively posting only negative or only positive posts from individuals or organizations on users’ contact lists.
A report published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS) titled, “Experimental evidence of massive-scale emotional contagion through social networks,” stated in its abstract that (emphasis added):
We show, via a massive (N = 689,003) experiment on Facebook, that emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. We provide experimental evidence that emotional contagion occurs without direct interaction between people (exposure to a friend expressing an emotion is sufficient), and in the complete absence of nonverbal cues. Not only are the findings troubling – illustrating that Facebook possesses the ability to influence the emotions of its users unwittingly through careful manipulation of their news feeds – but the invasive, unethical methods by which Facebook conducted the experiment are troubling as well.
In another experiment Facebook manipulated the news feed of some 2 million Americans in 2012 in order to increase public participation during that year’s US presidential election.
Facebook was also an official sponsor of the US State Department’s training program preparing political subversion across North Africa and the Middle East years before the so-called “Arab Spring” unfolded. The very activists audiences around the world were told “spontaneously” sprung up across North Africa and the Middle East were in fact trained, funded, and equipped by the US State Department and various corporations including tech giants Google and Facebook years beforehand.
Turning a Network of Information into a One-Way Propaganda Pipeline
The implications of an Internet commandeered by a conglomerate of Wall Street and Washington special interests is the mitigation of user-driven content and the retrenchment of information consumerism.
Television “programming” could be perceived as both the process of programming what will appear on TV, but also could be perceived as programming the minds of those consuming television. TV, being a one-way process, effectively eliminates competing ideas and limits the scope of information down to only what those who control television networks want audiences to see and hear. It is clear that Facebook is part of a process to turn the Internet into a similar one-way experience.
As a result of Facebook’s successful experiments in social engineering, including the very successful political subversion carried out across the Arab World – subversion still ravaging the region to this day –  Facebook and the corporate-financier interests behind it seek to put the entire planet within this increasingly insidious, pervasive, and one-way network.
The Bait and Switch 
4534534522Time Magazine’s article, “The Man Who Wired the World,” claims Facebook’s “crusade” to get the entire human population online is merely business. What is described however is a global campaign to produce content offline users will care enough about to get online, where Facebook believes it will be only inevitable that they end up on Facebook as well to share that content. Time’s article would state specifically (emphasis added):
Here’s the idea. First, you look at a particular geographical region that’s underserved, Internet-wise, and figure out what content might be compelling enough to lure its inhabitants online. Then you gather that content up, make sure it’s in the right language and wrap it up in a slick app. Then you go to the local cell-phone providers and convince as many of them as possible that they should offer the content in your app for free, with no data charges. There you go: anybody who has a data-capable phone has Internet access—or at least access to a curated, walled sliver of the Internet—for free. 
This isn’t hypothetical: Internet.org released this app in Zambia in July. It launched in Tanzania in October. In Zambia, the app’s content offerings include AccuWeather, Wikipedia, Google Search, the Mobile Alliance for Maternal Action—there’s a special emphasis on women’s rights and women’s health—and a few job-listing sites. And Facebook. A company called Airtel (the local subsidiary of an Indian telco) agreed to offer access for nothing. “I think about it like 911 in the U.S.,” Zuckerberg says. “You don’t have to have a phone plan, but if there’s an emergency, if there’s a fire or you’re getting robbed, you can always call and get access to those kinds of basic services. And I kind of think there should be that for the Internet too.”
Already, these free applications include Western-driven agendas and of course access to Facebook which is now confirmed to be insidiously manipulating user perception.
Indeed, while “free Internet access” through such apps seems “liberating” and “empowering,” Facebook does not let users freely share content. Under the guise of managing cluttered timelines for users, Facebook has already begun involuntarily filtering what posts users will see from accounts they are following, indicating that their manipulative experiments have now become a permanent matter of policy. Facebook’s own explanation of this policy is as follows:
Rather than showing people all possible content, News Feed is designed to show each person on Facebook the content that’s most relevant to them. Of the 1,500+ stories a person might see whenever they log onto Facebook, News Feed displays approximately 300. To choose which stories to show, News Feed ranks each possible story (from more to less important) by looking at thousands of factors relative to each person.
Facebook’s “world plan” then, seeks to plug the entire human population into a highly manipulative Skinner box through a bait and switch campaign to lure people online to seek what interests them before Facebook takes over and displays information Facebook itself determines “interests them.”
Far from a college kid with an overgrown corporation, what Facebook is doing is the manifestation of every tyranny’s dream scenario since the beginning of human history – a means by which to completely and insidiously manipulate and control the minds of its subjects.
Don’t Protest Facebook, Displace It 
To counteract what is clearly the next step in Facebook’s unethical and unchecked plague-like spread across the Internet, nations individually should produce their own alternatives to Facebook and work to get their populations online on their own terms before Facebook and the interests driving it do. Likewise, locally, communities must begin devising their own information networks including mesh networks and local Internets with local and open source alternatives to Facebook, Google, and other corporations exercising the same unwarranted power and influence online that bankers and industrialist exercise over traditional society.

Seven Reasons Why the “Bad Guys” Keep Winning ~ isn't it ...time we put r big boy pants on ,folks

Most propaganda is not designed to fool the critical thinker but only to give moral cowards an excuse not to think at all.
Moral cowards … or people too lazy to learn how their own minds – and those of the bad guys – work.

Obama-Mask-On-Bush-war-crime
How Come They Keeping Getting Away With It?
How come the bad guys keep getting away with it … even after getting caught again and again?
Reason Number 1: Falling for the Big Fib
People are wired to believe our leaders’ big statements, even if they are ridiculous:
As Adolph Hitler wrote in Mein Kampf:
All this was inspired by the principle–which is quite true in itself–that in the big lie there is always a certain force of credibility; because the broad masses of a nation are always more easily corrupted in the deeper strata of their emotional nature than consciously or voluntarily; and thus in the primitive simplicity of their minds they more readily fall victims to the big lie than the small lie, since they themselves often tell small lies in little matters but would be ashamed to resort to large-scale falsehoods. It would never come into their heads to fabricate colossal untruths, and they would not believe that others could have the impudence to distort the truth so infamously. Even though the facts which prove this to be so may be brought clearly to their minds, they will still doubt and waver and will continue to think that there may be some other explanation. For the grossly impudent lie always leaves traces behind it, even after it has been nailed down, a fact which is known to all expert liars in this world and to all who conspire together in the art of lying.
Similarly, Hitler’s propaganda minister, Joseph Goebbels, wrote:
That is of course rather painful for those involved. One should not as a rule reveal one’s secrets, since one does not know if and when one may need them again. The essential English leadership secret does not depend on particular intelligence. Rather, it depends on a remarkably stupid thick-headedness. The English follow the principle that when one lies, one should lie big, and stick to it. They keep up their lies, even at the risk of looking ridiculous.
Science has now helped to explain why the big lie is effective.
As I’ve previously pointed out in another context:
Psychologists and sociologists show us that people will rationalize what their leaders are doing, even when it makes no sense ….
Sociologists from four major research institutions investigated why so many Americans believed that Saddam Hussein was behind 9/11, years after it became obvious that Iraq had nothing to do with 9/11.
The researchers found, as described in an article in the journal Sociological Inquiry (and re-printed by Newsweek):
  • Many Americans felt an urgent need to seek justification for a war already in progress
  • Rather than search rationally for information that either confirms or disconfirms a particular belief, people actually seek out information that confirms what they already believe.
  • “For the most part people completely ignore contrary information.”
  • “The study demonstrates voters’ ability to develop elaborate rationalizations based on faulty information”
  • People get deeply attached to their beliefs, and form emotional attachments that get wrapped up in their personal identity and sense of morality, irrespective of the facts of the matter.
  • “We refer to this as ‘inferred justification, because for these voters, the sheer fact that we were engaged in war led to a post-hoc search for a justification for that war.
  • “People were basically making up justifications for the fact that we were at war”
  • “They wanted to believe in the link [between 9/11 and Iraq] because it helped them make sense of a current reality. So voters’ ability to develop elaborate rationalizations based on faulty information, whether we think that is good or bad for democratic practice, does at least demonstrate an impressive form of creativity.
An article yesterday in Alternet discussing the Sociological Inquiry article helps us to understand that the key to people’s active participation in searching for excuses for actions by the big boys is fear:
Subjects were presented during one-on-one interviews with a newspaper clip of this Bush quote: “This administration never said that the 9/11 attacks were orchestrated between Saddam and al-Qaeda.”The Sept. 11 Commission, too, found no such link, the subjects were told.
“Well, I bet they say that the commission didn’t have any proof of it,” one subject responded, “but I guess we still can have our opinions and feel that way even though they say that.”
Reasoned another: “Saddam, I can’t judge if he did what he’s being accused of, but if Bush thinks he did it, then he did it.”
Others declined to engage the information at all. Most curious to the researchers were the respondents who reasoned that Saddam must have been connected to Sept. 11, because why else would the Bush Administration have gone to war in Iraq?
The desire to believe this was more powerful, according to the researchers, than any active campaign to plant the idea.
Such a campaign did exist in the run-up to the war…
He won’t credit [politicians spouting misinformation] alone for the phenomenon, though.
“That kind of puts the idea out there, but what people then do with the idea … ” he said. “Our argument is that people aren’t just empty vessels. You don’t just sort of open up their brains and dump false information in and they regurgitate it. They’re actually active processing cognitive agents”…
The alternate explanation raises queasy questions for the rest of society.
“I think we’d all like to believe that when people come across disconfirming evidence, what they tend to do is to update their opinions,” said Andrew Perrin, an associate professor at UNC and another author of the study…
“The implications for how democracy works are quite profound, there’s no question in my mind about that,” Perrin said. “What it means is that we have to think about the emotional states in which citizens find themselves that then lead them to reason and deliberate in particular ways.”
Evidence suggests people are more likely to pay attention to facts within certain emotional states and social situations. Some may never change their minds. For others, policy-makers could better identify those states, for example minimizing the fear that often clouds a person’s ability to assess facts …
The Alternet article links to a must-read interview with psychology professor Sheldon Solomon, who explains:
A large body of evidence shows that momentarily [raising fear of death], typically by asking people to think about themselves dying, intensifies people’s strivings to protect and bolster aspects of their worldviews, and to bolster their self-esteem. The most common finding is that [fear of death] increases positive reactions to those who share cherished aspects of one’s cultural worldview, and negative reactions toward those who violate cherished cultural values or are merely different.
And what about torture? Even after the Senate Intelligence report said that torture didn’t do anything helpful – confirmed by America’s top interrogation experts and 1,700 years of history – the American public still believes the big lie.
And I would argue that the fact that the governments of the world have given trillions to the giant banks has invoked the same mental process – and susceptibility to propaganda -as the war in Iraq.
Specifically, many people assume that because the government has launched a war to prop up the giant banks, it must have a good reason for doing so.
Why else would trillions in taxpayer dollars be thrown at the giant banks? Why else would the government say that saving the big boys is vital?
And I would argue that the fear of another Great Depression (an economic death, if you will) is analogous to the fear of death triggered in many Americans by 9/11.
This creates a regression towards old-fashioned thinking about such things as banks and the financial system, even though the giant banks actually do very little traditional banking these days.
In other words, the big lie appears to be as effective in financial as in military warfare.
Reason Number 2: The Urge to Defend Bad Systems
Psychiatrist Peter Zafirides, M.D sent us an excellent article explaining why good people defend bad systems:
From the bust of the housing bubble and mortgage meltdown to Bernie Madoff and Jerry Sandusky, to political candidates and campaigns, it seems not a week goes by before another story of corruption and scandal breaks. And very predictably, the following questions always seem to follow:
“How could they get away with this?”
- or -
“Why didn’t someone say or do anything about it?”
In trying to answer these questions, we have to first understand a bit about both individual and group psychology. The answers may potentially surprise or frighten you, but it is through this understanding, that any real (and lasting) change can occur. Beyond these obvious questions lies another stark reality: good people tend to continue to defend bad systems.
Why does this happen? What is going on here?
Why do we stick up for a system or institution we live in—a government, company, or marriage—even when anyone else can see it is failing miserably? Why do we resist change even when the system is corrupt or unjust? A new article in Current Directions in Psychological Science, reveals the conditions under which we’re motivated to defend the status quo—a psychological process called “system justification.”
The Power of the Status Quo
In system justification theory, people are motivated to defend the status quo. There is a need to see it as being good, just and/or legitimate. People not only want to hold a favorable view of themselves and the groups they associate with, but they also hold favorable views of an entire, overarching social system. There is a lot at stake here on an individual psychological level that may not have anything to do with the particular candidate, or government or social issue.
There are consequences for trying to buck the system. What will happen if you try to introduce a different type of political or economic system? You tend to be mocked, marginalized or completely ignored. People need to believe that the systems they believe in are legitimate. But this can cause bias and very dangerous blind spots when it comes to the issue of corruption in these systems.
“Now this is not the same as acquiescence,” says Aaron C. Kay, a psychologist at Duke University, who co-authored the paper with University of Waterloo graduate student Justin Friesen. “It’s pro-active. When someone comes to justify the status quo, they also come to see it as what should be.”
According to the research, four particular situations significantly increased the likelihood that system justification would occur:
1. When a threat to the system occurred.
2. When one is dependent on the system.
3. When there is no potential escape from the system.
4. When one has low personal control of their lives.
Threat
When we’re threatened we defend ourselves—and our systems. Before 9/11, for instance, President George W. Bush was sinking in the polls. But as soon as the planes hit the World Trade Center, the president’s approval ratings soared. So did support for Congress and the police. During Hurricane Katrina, America witnessed FEMA’s spectacular failure to rescue the hurricane’s victims. Yet many people blamed those victims for their fate rather than admitting the agency flunked and supporting ideas for fixing it. In times of crisis, say the authors, we want to believe the system works. This bias is real. The problem is, it may not even be consciously in our awareness.
Dependency
We also defend systems we rely on. In one experiment, students made to feel dependent on their university defended a school funding policy—but disapproved of the same policy if it came from the government, which they didn’t perceive as affecting them closely. However, if they felt dependent on the government, they liked the policy originating from it, but not from the school.
Inescapability & Loss of Control
When we feel we can’t escape a system, we adapt. That includes feeling okay about things we might otherwise consider undesirable. The authors note one study in which participants were told that men’s salaries in their country are 20% higher than women’s. Rather than implicate an unfair system, those who felt they couldn’t emigrate chalked up the wage gap to innate differences between the sexes. “You’d think that when people are stuck with a system, they’d want to change it more,” says Kay. But in fact, the more stuck they are, the more likely are they to explain away its shortcomings.
Finally, a related phenomenon: The less control people feel over their own lives, the more they endorse systems and leaders that offer a sense of order.
Change Is Possible!
The research on system justification should not be overwhelming or demoralizing. If anything it can really help to enlighten those who are frustrated when people don’t rise up in what would seem their own best interests. The awareness of this psychological tendency in all of us is the first step in trying to minimize its impact. Awareness is critical if one hopes to meaningfully change systems.
According to Dr. Kay, “If you want to understand how to get social change to happen, you need to understand the conditions that make people resist change and what makes them open to acknowledging that change might be a necessity.” This is true whether the change one desires is individual or societal.
But do not despair! Whether on an individual or societal level, change absolutely happen. Awareness and knowledge is the first part of the process.
Never give up the fight.
Never doubt how truly powerful you are.
Reason Number 3: Assuming that the Super-Elite Are “Like Us”
The super-elites are not like us:
Vanderbilt researchers have found that the brains of psychopaths have a dopamine abnormality which creates a drive for rewards at any cost, and causes them to ignore risks.
As PhysOrg writes:
Abnormalities in how the nucleus accumbens, highlighted here, processes dopamine have been found in individuals with psychopathic traits and may be linked to violent, criminal behavior. Credit: Gregory R.Samanez-Larkin and Joshua W. Buckholtz
The brains of psychopaths appear to be wired to keep seeking a reward at any cost, new research from Vanderbilt University finds. The research uncovers the role of the brain’s reward system in psychopathy and opens a new area of study for understanding what drives these individuals.
“This study underscores the importance of neurological research as it relates to behavior,” Dr. Francis S. Collins, director of the National Institutes of Health, said. “The findings may help us find new ways to intervene before a personality trait becomes antisocial behavior.”
The results were published March 14, 2010, in .
“Psychopaths are often thought of as cold-blooded criminals who take what they want without thinking about consequences,” Joshua Buckholtz, a graduate student in the Department of Psychology and lead author of the new study, said. “We found that a hyper-reactive dopamine reward system may be the foundation for some of the most problematic behaviors associated with psychopathy, such as violent crime, recidivism and substance abuse.”
Previous research on psychopathy has focused on what these individuals lack—fear, empathy and interpersonal skills. The new research, however, examines what they have in abundance—impulsivity, heightened attraction to rewards and risk taking. Importantly, it is these latter traits that are most closely linked with the violent and criminal aspects of psychopathy.
“There has been a long tradition of research on psychopathy that has focused on the lack of sensitivity to punishment and a lack of fear, but those traits are not particularly good predictors of violence or criminal behavior,” David Zald, associate professor of psychology and of psychiatry and co-author of the study, said. “Our data is suggesting that something might be happening on the other side of things. These individuals appear to have such a strong draw to reward—to the carrot—that it overwhelms the sense of risk or concern about the stick.”
To examine the relationship between dopamine and psychopathy, the researchers used positron emission tomography, or PET, imaging of the brain to measure dopamine release, in concert with a functional magnetic imaging, or fMRI, probe of the brain’s reward system.
“The really striking thing is with these two very different techniques we saw a very similar pattern—both were heightened in individuals with psychopathic traits,” Zald said.
Study volunteers were given a personality test to determine their level of psychopathic traits. These traits exist on a spectrum, with violent criminals falling at the extreme end of the spectrum. However, a normally functioning person can also have the traits, which include manipulativeness, egocentricity, aggression and risk taking.
In the first portion of the experiment, the researchers gave the volunteers a dose of amphetamine, or speed, and then scanned their brains using PET to view dopamine release in response to the stimulant. Substance abuse has been shown in the past to be associated with alterations in dopamine responses. Psychopathy is strongly associated with substance abuse.
“Our hypothesis was that psychopathic traits are also linked to dysfunction in dopamine reward circuitry,” Buckholtz said. “Consistent with what we thought, we found people with high levels of psychopathic traits had almost four times the amount of dopamine released in response to amphetamine.”
In the second portion of the experiment, the research subjects were told they would receive a monetary reward for completing a simple task. Their brains were scanned with fMRI while they were performing the task. The researchers found in those individuals with elevated psychopathic traits the dopamine reward area of the brain, the nucleus accumbens, was much more active while they were anticipating the monetary reward than in the other volunteers.
“It may be that because of these exaggerated dopamine responses, once they focus on the chance to get a reward, psychopaths are unable to alter their attention until they get what they’re after,” Buckholtz said. Added Zald, “It’s not just that they don’t appreciate the potential threat, but that the anticipation or motivation for reward overwhelms those concerns.”
Has anyone tested the heads of the too big to fails for this dopamine abnormality?
What are the odds that they have it? And if they have it, what are the odds that they will voluntarily start acting responsibly, especially given the broken incentive system?
Experts also tell us that many politicians also share traits with serial killers. Specifically, the Los Angeles Times noted in 2009:
Using his law enforcement experience and data drawn from the FBI’s behavioral analysis unit, Jim Kouri has collected a series of personality traits common to a couple of professions.
Kouri, who’s a vice president of the National Assn. of Chiefs of Police, has assembled traits such as superficial charm, an exaggerated sense of self-worth, glibness, lying, lack of remorse and manipulation of others.
These traits, Kouri points out in his analysis, are common to psychopathic serial killers.
But — and here’s the part that may spark some controversy and defensive discussion — these traits are also common to American politicians. (Maybe you already suspected.)
Yup. Violent homicide aside, our elected officials often show many of the exact same character traits as criminal nut-jobs, who run from police but not for office.
Kouri notes that these criminals are psychologically capable of committing their dirty deeds free of any concern for social, moral or legal consequences and with absolutely no remorse.
“This allows them to do what they want, whenever they want,” he wrote. “Ironically, these same traits exist in men and women who are drawn to high-profile and powerful positions in society including political officeholders.”
***
“While many political leaders will deny the assessment regarding their similarities with serial killers and other career criminals, it is part of a psychopathic profile that may be used in assessing the behaviors of many officials and lawmakers at all levels of government.”
As Jim Quinn notes:
When their bets came up craps, they had the gall to hold the American people hostage for trillions in bailouts. Their fellow psychopaths in Congress gladly forked over the money. Rather than mend their ways, these evil men have returned to their excessive risk taking and continue to pay themselves billions in compensation, while the American middle class is smothered to death under mountains of debt. These evil Wall Street geniuses have shown no remorse as seven million people have lost their jobs and millions more have lost their homes due to the greed and avarice displayed on an epic scale.
Wall Street bankers exhibit the epitome of psychopathic behavior, showing lack of empathy and remorse, shallow emotions, egocentricity, and deceptiveness. Psychopaths are highly prone to antisocial behavior and abusive treatment of others. Though lacking empathy and emotional depth, they often manage to pass themselves off as average individuals by feigning emotions. These Wall Street bankers will never willingly accept responsibility for their actions. They continue to use their wealth and power to control the politicians in Washington DC and the misinformation propagated by the corporate media they control. They own and control the Federal Reserve and will print money until the whole system collapses in a spectacular implosion that destroys our financial system. They only care about their own wealth, influence and status. They have no shame.
Studies also show that the wealthy are less empathic than those with more modest wealth, and so:
The idea of nobless oblige or trickle-down economics, certain versions of it, is bull,” Keltner added. “Our data say you cannot rely on the wealthy to give back. The ‘thousand points of light’—this rise of compassion in the wealthy to fix all the problems of society—is improbable, psychologically.”
Those in the upper-class tend to hoard resources and be less generous than they could be.
Given that many in Congress and top government posts are multi-millionaires, the study might help explain why politicians seem only to work to make themselves wealthier and to help their wealthy buddies.
We will remain disempowered if we assume that the super-elites are “like us”. Unless we learn to spot “wolves in sheep’s clothing”, we will continue to fall prey to their scams.
This is not to say that all rich or powerful people are psychopaths. There are some great men and women who are affluent or who serve in Washington, D.C. But many do have psycopathic tendencies.
Reason Number 4: The Life-Or-Death Struggle to Defend Our Beliefs
Alternet points out:
When your deepest convictions are challenged by contradictory evidence, your beliefs get stronger.
***
In 2006, Brendan Nyhan and Jason Reifler at The University of Michigan and Georgia State University created fake newspaper articles about polarizing political issues. The articles were written in a way which would confirm a widespread misconception about certain ideas in American politics. As soon as a person read a fake article, researchers then handed over a true article which corrected the first. For instance, one article suggested the United States found weapons of mass destruction in Iraq. The next said the U.S. never found them, which was the truth. Those opposed to the war or who had strong liberal leanings tended to disagree with the original article and accept the second. Those who supported the war and leaned more toward the conservative camp tended to agree with the first article and strongly disagree with the second. These reactions shouldn’t surprise you. What should give you pause though is how conservatives felt about the correction. After reading that there were no WMDs, they reported being even more certain than before there actually were WMDs and their original beliefs were correct.
They repeated the experiment with other wedge issues like stem cell research and tax reform, and once again, they found corrections tended to increase the strength of the participants’ misconceptions if those corrections contradicted their ideologies. People on opposing sides of the political spectrum read the same articles and then the same corrections, and when new evidence was interpreted as threatening to their beliefs, they doubled down. The corrections backfired.
Once something is added to your collection of beliefs, you protect it from harm. You do it instinctively and unconsciously when confronted with attitude-inconsistent information. Just as confirmation bias shields you when you actively seek information, the backfire effect defends you when the information seeks you, when it blindsides you. Coming or going, you stick to your beliefs instead of questioning them. When someone tries to correct you, tries to dilute your misconceptions, it backfires and strengthens them instead. Over time, the backfire effect helps make you less skeptical of those things which allow you to continue seeing your beliefs and attitudes as true and proper.
***
Psychologists call stories like these narrative scripts, stories that tell you what you want to hear, stories which confirm your beliefs and give you permission to continue feeling as you already do.
***
As the psychologist Thomas Gilovich said, “”When examining evidence relevant to a given belief, people are inclined to see what they expect to see, and conclude what they expect to conclude…for desired conclusions, we ask ourselves, ‘Can I believe this?,’ but for unpalatable conclusions we ask, ‘Must I believe this?’”
***
What should be evident from the studies on the backfire effect is you can never win an argument online. When you start to pull out facts and figures, hyperlinks and quotes, you are actually making the opponent feel as though they are even more sure of their position than before you started the debate. As they match your fervor, the same thing happens in your skull. The backfire effect pushes both of you deeper into your original beliefs.
***
The backfire effect is constantly shaping your beliefs and memory, keeping you consistently leaning one way or the other through a process psychologists call biased assimilation. Decades of research into a variety of cognitive biases shows you tend to see the world through thick, horn-rimmed glasses forged of belief and smudged with attitudes and ideologies.
***
Flash forward to 2011, and you have Fox News and MSNBC battling for cable journalism territory, both promising a viewpoint which will never challenge the beliefs of a certain portion of the audience. Biased assimilation guaranteed.
***
The human understanding when it has once adopted an opinion draws all things else to support and agree with it. And though there be a greater number and weight of instances to be found on the other side, yet these it either neglects and despises, or else-by some distinction sets aside and rejects, in order that by this great and pernicious predetermination the authority of its former conclusion may remain inviolate
- Francis Bacon
It is very difficult for anyone to really listen to evidence which contradicts our beliefs. But unless we learn how to grit our teeth and do so, we will forever be victims to the divide-and-conquer game which ensures that we have politicians who will ignore our demands, we will be so wedded to one investment strategy that we will forever lose money on our investments, and we will generally be weak and disempowered people.
Reason Number 5: Forgetting that We Don’t Live in Tribes
Our brains are wired for tribal relationships:
Biologists and sociologists tell us that our brains evolved in small groups or tribes.
As one example of how profoundly the small-group environment affected our brains, Daily Galaxy points out:
Research shows that one of the most powerful ways to stimulate more buying is celebrity endorsement. Neurologists at Erasmus University in Rotterdam report that our ability to weigh desirability and value doesn’t function normally if an item is endorsed by a well-known face. This lights up the brain’s dorsal claudate nucleus, which is involved in trust and learning. Areas linked to longer-term memory storage also fire up. Our minds overidentify with celebrities because we evolved in small tribes. If you knew someone, then they knew you. If you didn’t attack each other, you were probably pals.
Our minds still work this way, giving us the idea that the celebs we keep seeing are our acquaintances. And we want to be like them, because we’ve evolved to hate being out of the in-crowd. Brain scans show that social rejection activates brain areas that generate physical pain, probably because in prehistory tribal exclusion was tantamount to a death sentence. And scans by the National Institute of Mental Health show that when we feel socially inferior, two brain regions become more active: the insula and the ventral striatum. The insula is involved with the gut-sinking sensation you get when you feel that small. The ventral striatum is linked to motivation and reward.
In small groups, we knew everyone extremely well. No one could really fool us about what type of person they were, because we had grown up interacting with them for our whole lives.
If a tribe member dressed up and pretended he was from another tribe, we would see it in a heart-beat. It would be like seeing your father in a costume: you would recognize him pretty quickly, wouldn’t you.
As the celebrity example shows, our brains can easily be fooled by people in our large modern society when we incorrectly ascribe to them the role of being someone we should trust.
As the celebrity example shows, our brains can easily be fooled by people in our large modern society when we incorrectly ascribe to them the role of being someone we should trust.
The opposite is true as well. The parts of our brain that are hard-wired to quickly recognize “outside enemies” can be fooled in our huge modern society, when it is really people we know dressed up like the “other team”.
***
Our brains assume that we can tell truth from fiction, because they evolved in very small groups where we knew everyone extremely well, and usually could see for ourselves what was true.
On the other side of the coin, a tribal leader who talked a good game but constantly stole from and abused his group would immediately be kicked out or killed. No matter how nicely he talked, the members of the tribe would immediately see what he was doing.
But in a country of hundreds of millions of people, where the political class is shielded from the rest of the country, people don’t really know what our leaders are doing with most of the time. We only see them for a couple of minutes when they are giving speeches, or appearing in photo ops, or being interviewed. It is therefore much easier for a wolf in sheep’s clothing to succeed than in a small group setting.
Indeed, sociopaths would have been discovered very quickly in a small group. But in huge societies like our’s, they can rise to positions of power and influence.
As with the celebrity endorsement example, our brains are running programs which were developed for an environment (a small group) we no longer live in, and so lead us astray.
Like the blind spot in our rear view mirror, we have to learn to compensate and adapt for our imperfections, or we may get clobbered.
Grow Up
The good news is that we can evolve.
While our brains have many built-in hardwired ways of thinking and processing information, they are also amazingly “plastic“. We can learn and evolve and overcome our hardwiring – or at least compensate for our blind spots.
We are not condemned to being led astray by [banksters and power-hungry sociopaths].
We can choose to grow up as a species and reclaim our power to decide our own future.
Reason Number 6: Pretending We Know
People who don’t know much about a subject tend to over-estimate their understanding. Ironically, experts in any subject tend to underestimate their abilities (because the more you know, the more you realize that you don’t know.)
Moreover, people who don’ t much about a subject are more hesitant to learn about it than people who know something about it.
(This may be learning a sport or a musical instrument. When you get decent at it, it becomes fun … and learning how to improve is pleasurable. On the other hand, if you make nails-on-chalkboard noises while learning how to play electric guitar or fall a lot while you’re learning how to ski, it isn’t as fun … and it is tempting to give up and avoid it if your friends try to “drag you along”. The same dynamic might apply to learning as well.)
If we realize that we are resisting learning new information – either because we assume we already know it all, or because we want to avoid the embarrassment of being a beginner – we will remain stuck where we are, and we will never grow wiser or more powerful. If your mind is already “full”, you can’t fill it any more. Indeed, one of the secrets of really smart people is to adopt a “beginner mind”, so that they are open to learning new information.
Reason Number 7: Apathy
The CIA notes that, public apathy allows government officials to ignore their citizens. While it is easy to slip into apathy, we will as a people be ignored by our politicians unless we remain involved.
Reason Number 8: The CIA and Other Government Agencies Control Media, Movies, TV and Video Games
Famed Watergate reporter Carl Bernstein says the CIA has already bought and paid for many successful journalists.
A CIA operative allegedly told Washington Post editor Philip Graham … in a conversation about the willingness of journalists to peddle CIA propaganda and cover stories:
You could get a journalist cheaper than a good call girl, for a couple hundred dollars a month.
The Church Committee found that the CIA submitted stories to the American press:

CIA Admits Using News To Manipulate the USA (1975)

The New York Times discusses in a matter-of-fact way the use of mainstream writers by the CIA to spread messages.
The government is paying off reporters to spread disinformation.
4-part BBC documentary called the “Century of the Self” shows that an American – Freud’s nephew, Edward Bernays – created the modern field of manipulation of public perceptions, and the U.S. government has extensively used his techniques.
The Independent discusses allegations of American propaganda.
One of the premier writers on journalism says the U.S. has used widespread propaganda.
Indeed, an expert on propaganda testified under oath during trial that the CIA employs THOUSANDS of reporters and OWNS its own media organizations (the expert has an impressive background).
Of course, the Web has become a huge media force, and the Pentagon and other government agencieshave their hand in that as well. Indeed, documents released by Snowden show that spies manipulate polls, website popularity and pageview counts, censor videos they don’t like and amplify messages they do.
The CIA and other government agencies also put enormous energy into pushing propaganda throughmovies, tv and video games.
We intentionally listed propaganda last, because we only fall for propaganda to the extent we fail to learn the first 7 lessons … i.e. to wake up and think for ourselves.
As Michael Rivero notes:
Most propaganda is not designed to fool the critical thinker but only to give moral cowards an excuse not to think at all.
Moral cowards … or people too lazy to learn how their own minds – and those of the bad guys – work.

Profiting from the Data Economy: Beyond Big Data

By
Date: Oct 14, 2014
http://www.ftpress.com/articles/article.aspx?p=2257533
David A. Schweidel introduces his book, which considers the role that individual consumers, innovators and government will play in shaping tomorrow's data economy.
While there has been a lot of discussion around the term “Big Data,” much of the discourse treats this as an abstract idea rather than a system in which we are all active participants. While the term has become ubiquitous, interest in the topic has not waned. A Google search for the term turns up approximately 13.7 million search results. A snapshot of Google Trends reveals the meteoric rise of queries for Big Data beginning in 2011 and increasing ever since then.1 Searching archived Twitter messages using Topsy reveals more than three million tweets referencing Big Data and in excess of two million tweets mentioning #bigdata.
Some contend that this marks a dramatic shift in what businesses and organizations are capable of doing. Others deride or critique it. Author and Duke University professor Dan Ariely likened Big Data to teenage sex: “Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.”2 Whether you’re an ardent believer that the Big Data revolution is the best thing since sliced bread or you’re skeptical of the buzzword, there is no disputing the fact that more attention is being paid to the topic.
This attention isn’t just coming from corporate broom closets where statisticians are huddled over computers and poring over the output from complex analyses. Instead, data and analytics are garnering attention in the C-suite. In some companies, these topics fall under the purview of the CIO, whereas they are part of the CMO’s responsibilities for other companies. We’ve also seen the emergence of the chief data officer. Although you might expect to see this position at a financial institution or a company based in Silicon Valley, advertising juggernaut Ogilvy and Mather appointed its first global chief data officer in August 2013.3
The interest in capitalizing on the abundance of data extends beyond the boardroom to the public sphere. Microtargeting in political races was used as early as 2004. Local governments are also getting in on the act, with Philadelphia Mayor Michael Nutter naming the city’s first chief data officer in 2012 and New York City Mayor Michael Bloomberg appointing the city’s first chief analytics officer in 2013.

Searching for the Next Generation of Quants

Why are companies, campaigns, and governments focusing on individuals with a knack for data? Probably the same thinking that led Hal Varian, an emeritus economics professor from the University of California at Berkeley and chief economist for Google, to proclaim in 2009 that “the sexy job in the next ten years will be statisticians.”4 If you’re able to extract insights and act upon them, they can provide a strategic advantage. Across different types of organizations, statisticians can contribute immensely to improving operations, from increasing efficiency and cutting costs to increasing revenue. However, being well versed in statistics isn’t enough. What many organizations are seeking is a data scientist with the holy trinity of skills: someone with expertise in a particular field, coupled with knowledge of sophisticated statistical tools, and the technical expertise to develop and implement these algorithms on a large scale. This is often depicted as a Venn diagram (see Figure 1.1).

Figure 1.1 Figure 1.1 Data Science Venn diagram
Are they searching for mythical unicorns? Not necessarily. Both presidential campaigns in 2012 had chief data scientists. According to the vice president of Big Data products for IBM, a data scientist is “part analyst, part artist.”5 It’s not enough to crunch numbers in the background. The findings from advanced analytics are only as good as the way in which the insights are communicated to key decision makers. When we talk about using marketing analytics to guide strategy, we’re not just talking about a set of curve-fitting exercises. Instead, we’re talking about storytelling, informed by data, which has the potential to inform decision makers.
Are these three skills all essential, or can we get by with someone who is lacking one of them? With knowledge of statistics and the ability to code, a researcher can make data sing. However, although this may be sufficient from the standpoint of conducting research, what practical decisions can they support? Without a sufficiently deep understanding of the domain in which they’re operating, the impact of the insights on strategy will be limited. Meanwhile, someone who understands statistical models and knows the domain in which they operate is valuable from the standpoint of producing insights, but they are limited in their ability to convert those insights into a scalable solution. We similarly run into problems if individuals are fluent computer scientists but lack knowledge of the statistical models that are often used for evaluating business decisions.
Universities are making an effort to address the significant talent gap. Many have started to offer programs that tap into the interest in Big Data and data science. North Carolina State University, through its collaboration with SAS, launched the Institute for Advanced Analytics and offers an M.S. in analytics. At New York University, you’ll find the Center for Data Science offering an M.S. in data science, as well as an M.S. in business analytics offered by NYU Stern School of Business. The marketing department at the Wharton School of the University of Pennsylvania houses the Wharton Customer Analytics Initiative, while the operations and information management department offers a track in business analytics. Northwestern University offers an M.S. in predictive analytics through the School of Continuing Studies, while Northwestern Engineering houses the M.S. in analytics. You’ll also find an M.S. in analytics offered by the University of San Francisco and an M.S. in marketing analytics at the University of Maryland.
From this small sampling of the programs and the initiatives that have developed in higher education around analytics, you can start to see why it’s difficult to prepare students for the roles that organizations are seeking to fill. There’s a fundamental question about where the appropriate training for dealing with data takes place. The two logical schools in which programs focusing on Big Data would emerge are business schools, where the insights have the potential to guide decisions, and computer science and engineering departments, where the technical tools may take center stage rather than strategic decisions.

From Big Data’s Past to Its Future

The two sides of the Big Data coin may go back as far as the origin of the term. According to The New York Times story by Steve Lohr, author Erik Larson wrote a piece for Harper’s Magazine in 1989 that was subsequently reprinted in The Washington Post.6 In it, Larson discusses the direct marketing industry and its practice of merging different facets of consumer data. Decades before data privacy and transparency came into the vernacular, Larson suggests that the “keepers of big data” will “track you for the rest of your consuming life—pitch you baby toys when you’re pregnant, condos when you’re fifty.”7
Interestingly enough, Lohr doesn’t ascribe credit for the term “big data” to Larson. Instead, he argues that credit should go to John Mashey, chief scientist for Silicon Graphics in the 1990s. When queried about the use of the term, Mashey told Lohr that “I was using one label for a range of issues, and I wanted the simplest, shortest phrase to convey that the boundaries of computing keep advancing.” Lohr’s logic in giving Mashey credit for coining the term was that it “should go to someone who was aware of the computing context.”
Regardless of to whom you feel credit is due, this exercise into the ancestry of one of today’s most common phrases within technology and business circles offers a curious perspective. Larson exposes the potential benefits and risks associated with compiling disparate pieces of data. Like a jigsaw puzzle, each individual piece of data does not reveal much about the person who produced it. But assemble enough of these pieces, and the full picture begins to emerge. The image that Larson describes is one based on mortgage and tax records, consumer surveys, and records from the Census Bureau. Compared to what we’re capable of seeing today, what Larson envisioned may appear to look like a five-year-old’s finger painting tacked onto a refrigerator, hanging next to a digital photograph taken with the latest digital SLR camera on the market today. The possibilities that he described pointed in the direction of the path that we eventually traveled. However, we have gone leaps and bounds beyond what many would have imagined in the past.
For that, credit is certainly due to technology. Dramatic increases in processing power have paved the way for sophisticated marketing analysis to be conducted on desktop computers instead of mainframes. Rather than speaking in terms of census tracts, we can now talk in terms of individual households or, better yet, members of the household. Retail purchase records from scanners in grocery stores, once heralded as a major advance for the marketing profession, pale in comparison to the amount of data produced by consumers visiting websites and making purchases online. None of what we are talking about today would be possible were it not for technological advances. At the same time, credit should be given to those who had the foresight and saw potential opportunities to put such granular data to use. These two forces, working in parallel, heralded the age of Big Data.

Characterizing Big Data

One of the most frequent ways in which Big Data is defined is in terms of the 3 V’s: volume, variety, and velocity. As the term implies, anything falling under the umbrella of Big Data is large in size. Some have taken this to mean anything that is too voluminous to be stored on a desktop computer. Multiple students have expressed interest in studying Big Data, which I’ve generally taken to mean that they are interested in using software that can handle more rows than a single spreadsheet in Microsoft Excel can accommodate. (Excel has a current limit of just more than one million rows—a vast improvement to the 65,536 rows of the previous version of the software.) In addition to the size of the data being stored, Big Data often comprises a variety of formats. On top of the quantifiable data (or “structured data”), Big Data encompasses “unstructured data” such as text comments, images, and multimedia file types.
Perhaps the most important of the 3 V’s is velocity. It is the velocity with which the data are collected and must be processed that can separate Big Data problems from those that simply involve large quantities of data. One illustration of problems that require data to be collected and processed rapidly is real-time marketing. Whether it is an auction to determine the order in which advertisements will appear alongside search results or targeted messages based on an individual’s mobile browsing history and current location, such problems require that data be processed rapidly.
Walt Disney World maintains an underground bunker called the Disney Operational Command Center to ensure that the theme park operates smoothly. Its staff may attempt to increase the speed with which visitors are moving through the queue of a ride if they find that it is too long, or dispatch costumed employees to entertain guests while they wait.8 If visitors are moving through rides more efficiently and having a more pleasant experience at the park, they’re apt to have more time during which they can visit stores and restaurants in the amusement parks, which provides Disney with additional revenue from its visitors. Phil Holmes, vice president of the Magic Kingdom, noted that “if we can increase the average number of shop or restaurant visits, that’s a huge win for us.”
While the majority of cases discussed in this book focus on marketing applications, perhaps one of the most important applications of Big Data today is security. Although Disney’s objective may be to minimize wait times or maximize visitors’ expenditures, imagine if we could apply similar approaches to law enforcement? Consider the FBI’s development of its Next Generation Identification (NGI) system, which will explore the use of facial recognition tools.9 Such a system could be used after crimes have been committed, comparing the footage from security cameras to databases that have been compiled previously. If such technology could be deployed more rapidly, it has the potential to reduce the resources that need to be committed to pursuing offenders. For such tasks, time is of the essence. Faster processing of the available data can contribute not only to cost reductions but also to improvements in public safety.
Although the 3 V’s are common to problems that fall under the auspices of Big Data, they ignore at least two other critical factors. First, there are issues as to the veracity of the data. No one questions that there is a lot of data available, but organizations trying to cut through the noise and identify the signal must ask themselves if they can trust the different data streams available. When decisions are being based on the results of data analysis, the findings are meaningless if the data on which they are based is biased in some way.
This has been one of the concerns raised by marketers about the potential use of social media data. Although such data are generally available, do the comments scraped off the Web reflect the thoughts of a brand’s entire customer base? Neglecting to account for known biases in social media data could contribute to problems such as overestimating the importance of an issue to consumers or failing to capture shifts in brand sentiment.10
Second, and more important, is the value of the data. Many organizations talk about having a Big Data strategy. If they’re referring to a plan to warehouse and access data relevant to their organization, there’s nothing wrong with this statement. In fact, more organizations would probably benefit from having a well-thought-out strategy that integrates the IT function with the appropriate business processes. The problem is, though, that they’re often not referring to how data will be stored and made available to users. Instead, they’re using the term “Big Data” as a crutch. Rather than thinking through what they are trying to achieve and gathering data that are appropriate to addressing those goals, they believe that they have a foolproof strategy: track “everything.”

Is Big Data a Strategy?

Here’s the problem with this so-called strategy. Suppose that reams of data are captured. All that we’ve done is kick the can down the road. Deep in the recesses of the warehouse we’ve built, in the multitude of haystacks we’ve collected, is the golden nugget that we’ve been looking for. The problem is that we now have to go through each of those haystacks. And, more likely than not, we’ll find something. Whether we can do anything with what we find is another story. The focus on collecting more and more data has obscured what we should have been asking ourselves from the start: What actions are we going to take?
It’s true that data are necessary to derive insights, and those insights inform the actions we take. However, thinking strategically requires that we work backward. Asking first what it is that we’re trying to do, we can then identify the insights needed to inform such actions. Based on the insights we need, we can back into the data that are needed to yield such insights. If we start blindly by compiling data without considering where we’re trying to end up, we run the risk that we’ve created more work for ourselves because we now have to sift through mountains of irrelevant data that have been captured in our dragnet.
The challenges faced by many organizations, from city governments to publically traded corporations, don’t require Big Data. Rather, these organizations should be taking a look at the key issues they’re facing and considering how those issues can be investigated. It’s not that more data are necessarily better. Sometimes more data are just more.
What the conversation should be focused on are the data that will lead to bigger insights. Sometimes this does in fact require more data or different types of data. In other cases, it requires rethinking the assumptions we currently hold and applying a different type of analysis. In specific circumstances, Big Data may be the raw fuel powering these insights. However, on its own, Big Data doesn’t tell us what we should be doing. It doesn’t tell political campaigns in which media markets to place advertisements. It doesn’t tell retail stores to whom to send coupons. It doesn’t tell city agencies how best to use their limited resources. Making such recommendations is where the artistry in data science comes into play. If Big Data is a natural resource, then the advanced statistical tools employed by analytic professionals and data scientists serve as the means of extracting and refining the raw material into something of value.
A colleague has suggested that Big Data is like “rocket science.” There are actually people who are doing rocket science, but the common use of the phrase extends beyond the well-credentialed few. There are indeed organizations that are knee deep in Big Data, but the phrase has become a catchall for most things involving data. Like it or not, we are living in the age of Big Data.

Data Versus Insights

For all the interest in Big Data, this is not a book about Big Data. This book is about what can be done with Big Data. More accurately, it’s about what can be done with data, both the good and the bad. When Larson first mentioned the “keepers of big data” back in 1989, companies such as Google, Facebook, and Amazon.com didn’t exist. And yet, marketing analytics and targeting were alive and well—perhaps not as efficiently as they are implemented today, but the ability to draw a portrait of a person based on multiple data sources was practiced by Claritas, Inc., which was eventually acquired by marketing research behemoth Nielsen.
The insights produced to serve marketers didn’t hinge on the amount of data available to them. Instead, it was based on understanding how the available data could be put to use. Larson tees up ideas that are relevant even today, if not ahead of their time, such as permission-based marketing and consumers receiving compensation in exchange for their data. And yet, he determines that he isn’t concerned because the organizations involved in direct marketing and the entities that provide organizations with access to consumer data “don’t really know what they’re doing—at least not yet.”
What makes the present day different from 1989? For one thing, organizations are much more versed in what can be accomplished with the right data. In addition to knowing what can be done with data, there’s also more data available. The data exhaust—the digital trail produced by consumers through their everyday activities—is a potential goldmine. Although there are ample opportunities for organizations to leverage available sources of data, let’s not assume that consumers are victims. Consumers have options at their disposal, and their choices have the potential to separate the winners from the losers.
Organizations of all stripes can be developed or refined based on the insights afforded by consumer data. As organizations have come to realize the tremendous potential that can be extracted from consumer data, the winners will be determined by those who have access to the data they need—that is, those who provide a compelling reason for consumers to share this data with them. Focusing on businesses, this is predicated on an exchange. Neither party has a gun to the head of the other. Consumers and organizations are both willing participants in this data economy.

Data and Value

As with other economic systems, at the heart of the data economy is value. As we will discuss, organizations have made it clear that they see tremendous value in consumer data. Some have explicitly said as much. Others have revealed it through their actions. Depending on the organization we’re discussing, there are a number of ways in which detailed data have been turned into value.
Collecting and storing data should be viewed as an investment. As with other investments, the question that organizations should be able to answer is, what is the payoff associated with compiling databases? Police forces, for example, have turned to predictive analytics. In addition to the hardware and software investment, there’s a cost associated with hiring the analytic talent to conduct the necessary analyses. Here, the payoff can be viewed as increased public safety, as manifested through a reduction in crime.
Google demonstrated that certain search terms are correlated with flu activity.11 From a public health perspective, such information could be useful in determining when it is most essential to ramp up efforts to encourage individuals to get vaccinated. Health insurance providers may take such efforts upon themselves, looking at the potential savings associated with reducing the number of hospitalizations. Employers may also promote vaccinations, hoping to curb the amount of worker productivity that is lost due to workers taking time off to recuperate. Viewing this problem from another perspective, pharmaceutical companies could identify the value of such data if it would enable them to make more efficient use of their marketing budgets. As you can see from this one example, the potential value associated with a particular piece of data depends on the organization’s goals.
Although these two illustrations demonstrate what can be gained by organizations turning to data that is generally available, consider briefly data that may not be available for public consumption: a consumer’s purchasing habits. Consider simply the question of how strongly you prefer Coca-Cola to Pepsi. If Coca-Cola knew which consumers were only interested in its products, which consumers were only interested in Pepsi’s product, and which consumers did not have a strong preference, it might change the way it approached marketing to each of these different consumers.
It might decide, for example, to spend just enough on marketing to loyal Coca-Cola consumers to encourage them to purchase more frequently. For these consumers, though, the company is not worried about them switching over to their competitor. For those consumers loyal to Pepsi, it may not make sense for Coca-Cola to exert any effort marketing toward these individuals. If their brand preferences are so strongly in favor of Pepsi over Coca-Cola, there’s little that Coca-Cola would be able to do to sway them. For the consumers in the middle, perhaps that’s where Coca-Cola’s (and Pepsi’s) marketing efforts have the potential to have the biggest impact.
Coca-Cola and Pepsi, as well as all other publically traded companies, are in the businesses of what’s best for their shareholders, but we could also apply the same thinking to the presidential election. Across the country, there are states that are deep blue and there are states that are deep red. Although a candidate could pour money into advertising in those states where his party has not fared well historically, barring a huge shift in the demographics of the state, such advertising expenditures are not expected to yield much of a payoff. Instead, what we are left with is a deluge of advertising concentrated in battleground states, specifically in counties where the advertising is expected to yield the biggest impact.
As we’ll discuss in more depth, not all data are equally valuable. Detailed data about the television programs viewed by a voter who lives in Wisconsin’s Dane county are likely to be of less value compared to the same data about a voter who lives in Ohio’s Hamilton county. Some pundits considered both Ohio and Wisconsin to be battleground states, so why the difference in the likely value of data from voters in these two counties? Dane county leans heavily to the left, as reflected by the 71.1% of the vote received by President Obama. In contrast, President Obama received only 51.8% of the votes coming out of Hamilton county. Political advertising can exert some sway on voters, but there’s a limit to its effectiveness. Given the strong leaning of Dane county, not much could have been done there by either party to sway voters. Hamilton County, in contrast, was identified as one of the seven most important counties in the 2012 election by The Washington Post.12 If campaigns knew the programs that different types of voters in Hamilton county were watching, such data could be used to ensure that advertising occurred in the programs viewed by the voters they were most interested in reaching. Regardless of context, the determining factor in how much data are worth to an organization is based on what the organization can do with the data and whether having the data can potentially further the organization’s goals.
Although the ability to take actions that affect consumer behavior is necessary for data to be of value, a few other conditions will affect just how valuable an individual’s particular data are to an organization. First, there needs to be a sufficient number of consumers who are “like you” with regard to your preferences and attitudes. If your outlook is so idiosyncratic that an organization can’t identify other consumers who are similar to you, it’s simply too inefficient for that organization to acquire your data and take actions tailored to you. There just isn’t the scale for this to be viable. Fortunately, it turns out that consumers are not as different from one another as they might think. Or, more precisely, they are similar enough that they can be grouped together into consumer segments, enabling organizations to pick and choose the segments on which they want to focus their efforts.
In addition to there being enough consumers like you, how much an organization is willing to spend on your data hinges on how valuable you (or the segment to which you belong) are to the organization. Frequent travelers are of interest to the airline and hotel industries because of the volume of business they generate, so they may provide these individuals with a separate telephone number for customer service, express check-in, or other perks. Casinos pay particular attention to their high rollers and provide them with a number of complimentary offerings to attract and retain their business because the amount that the casino stands to gain from the individual’s gambling activities can be quite substantial. Undecided voters in swing states are targeted because they can decide which presidential candidate receives the state’s electoral votes. In short, the segment has to matter to the organization.
With all these factors in place, ultimately the value of your data to organizations depends on how readily available such data are from other consumers. Although all consumers may be distinct from each other, the intent in forming a small number of market segments is to identify groups of consumers who are similar enough to each other and sufficiently different from other consumers. Claritas put this into practice with its Potential Rating Index for Zip Markets (more commonly referred to as PRIZM) segmentation scheme.
Members of the Executive Suites segment, for example, tend to place orders at barnesandnoble.com, play golf, and watch Saturday Night Live. This segment consists of upper-middle class singles and couples who typically work white collar jobs. In contrast, although the Bohemian Mix segment falls into the same age range, they are more inclined than the Executive Suites to live in cities and more likely to have children at home. Their media and lifestyle habits also differ—they express an interest in foreign films, are more likely to rent rather than own their home, and are more likely to read GQ.
Organizations must determine which of the segments are of interest to them so that they may focus their efforts on those segments. Once that has been determined, though, it doesn’t matter which particular individuals from the segment provide data to the organization. If other consumers like you are willing to share their data with organizations at no cost, then that’s how much the organization should be willing to spend on data acquisition. However, if each individual in a segment has determined that there is a minimum the organization must offer for someone to be willing to share the data, then it may be in the organization’s interests to invest in acquiring this data.

Value for Value

The ideas being put forth here are not new. The core ideas that we’ll discuss are at least 20 years old. However, since these ideas were first introduced into the public sphere, the landscape has irrevocably changed. Disturbingly, some of the ways in which these changes have occurred may have gone unnoticed.
First, consider the digital marketing platforms available to organizations today. Although consumers may be most familiar with Google as a search engine or a “free” email provider, at the end of the day, Google is an advertising platform. Likewise, although we may think of Facebook and Twitter as social networking products, these too are advertising platforms. We don’t pay a monthly fee or a one-time charge for the rights to use these tools. Rather, we pay every time we use the tools—each query entered into Google, each time we send an email message, each time we view a video on YouTube. With every Facebook post and each tweet we send, we’re paying these companies.
Online platforms will give way to the Internet of Things and connected devices. The notion of the “quantified self” is only beginning to become concrete, with fitness products and other forms of wearable technology. In exchange for what we learn about ourselves based on the data we generate, perhaps in pursuit of our personal goals, we adopt technology and share our data with the developers of the technology. In doing so, we’re paying with our actions, with the data that we produce. And there’s absolutely nothing wrong with that, so long as we’re aware of what we’re doing.
Consumer awareness took on broader significance with the revelations offered by Edward Snowden’s disclosure of documents that detailed the surveillance activities undertaken by the National Security Administration (NSA). Many had talked in vague terms about “big brother” watching us. Set in the aftermath of 9/11, the CBS drama Person of Interest presents a machine that can identify those involved in crimes before the events take place, gathering data through traffic cameras and other devices. In 2008’s The Dark Knight, Batman builds a machine that turns every cell phone into a microphone, allowing him to build a citywide surveillance system to aid him in finding where the Joker is located. Like these fictitious examples, the NSA’s surveillance activities may have been well intentioned. However, in the wake of the information that has come to light, there is increased interest in organizations being transparent about the data they are collecting and how such data are being put to use.
The interest in data transparency permeates the marketing field, as well as the regulatory environment in which companies must operate. In 2012, the Federal Trade Commission (FTC) issued orders to a number of companies to disclose information about data collection and usage practices.13 In a March 2012 report, the FTC urged companies to improve transparency in their data collection efforts. In the same report, there is a call to increase consumers’ knowledge about the data practices in which companies engage.
Despite the growing interest and potentially increased scrutiny, how exactly will organizations’ data collection and usage practices change from what they have been historically? And, more important, do consumers care? Whereas the answer to the first of these questions is something of a moving target, the second question is more important. After all, to what extent do consumers need protection against large organizations’ data-hording activities if they are informed of such activities and are not fazed by it?
Forrester examined the second of these questions in a 2012 study.14 Distinguishing between behavioral data (such as your online browsing history or your purchase history at a retailer) and individual data (for example, your address or Social Security number), it found that all age groups were more concerned about how companies used individual data, with older consumers more wary than younger consumers. The study also found that exclusive deals attract a majority of young consumers to share their data with companies, but the appeal of such incentives do not attract older consumers nearly as much. Mirroring this, the study found that a larger share of older consumers do not complete an online transaction because of something they read in the company’s privacy policy.
So what can be gleaned from these findings? It turns out that consumers are actually concerned with how companies are making use of their data. Although that might seem like a dark cloud hanging over marketing, it’s important to note that consumers’ concerns vary with the type of data being collected and across different consumer groups—and these data collection practices do appear to impact consumer expenditures.
As we’ll discuss, one option for organizations is to collect the data about which consumers are less sensitive and hence more willing to share. However, the key is for the organization to engage consumers like they would approach another collaborator. The consumers have something that is of value to the organization. With access to such information, organizations may change their practices. Marketing expenditures may be made with increased precision. Product lines may expand or contract. Consumers may see a more targeted message. New businesses may develop to meet the consumers’ needs. All these practices may rely heavily on access to the right consumer data.
If we’re willing to share data with companies, consumers have much to gain, as do the businesses that develop if they are successful. It is simply a matter of an exchange—consumers are more willing to share their data if it is clear what they are getting in return. That payment may be in the form of financial compensation or access to a product or service. The idea of an exchange, where value is traded for value, is straightforward enough. However, as recent events have revealed, a host of issues are related to conducting such a transaction.
At the same time, there are also issues focused on the protections that must be in place for consumers. Questions about the information that organizations should present to consumers and the measures that should be taken to ensure that consumers’ data are secure need to be addressed. Just as there is the potential for businesses to grow larger than we would have imagined, fueled primarily by innovative thinking about how consumer data can be used, there is also potential for such data to be exploited and considerable harm levied against consumers. And because of this, there is a legitimate question as to what the role of the government should be. Is a watchdog agency akin to the Consumer Financial Protection Bureau needed to oversee such exchanges? Alternatively, should market forces dictate who will and will not have access to consumer data and how much it is worth?
The next few chapters look at success stories that have emerged in business, where a good part of the companies’ successes have been thanks in no small part to the data provided by their consumers. We’ll also see how existing businesses have refined their practices by leveraging more detailed information about consumers. In addition, we’ll see the benefits that the public has accrued through the innovative work of government agencies using many of the same tools employed by businesses.
With these exemplars of what is possible as a backdrop, we’ll cast a critical eye on the current exchange in which consumers and organizations participate. Although this model functions well in some regards, we put forth reasons that suggest that it may be in need of updating. There are some signs that these revisions are already underway. Based on these harbingers, we’ll discuss the structure that may be needed to support the burgeoning data economy.
Taking into account the events that have unfolded in recent years—from Internet giants and social networking sites coming on the scene, to interest in data, infographics, and statistics going mainstream—this book is not an attempt to predict what course we’ll chart in the near future. However, given how we have seen organizations use data and current activities, there are indicators that suggest a potential direction—one in which consumers, businesses, and the public all stand to benefit.