Monday, June 26, 2017

From the Age of Emperors to the Age of Empathy

Chinese Emperor Qin Shi Huang unified the warring states of ancient China with iron fist and utmost brutality, for instance tying one of his enemies to five horses to tear him into pieces, and killing his entire family to the third degree. Today, things are decidedly different. The age of imperial CEOs of the GE Jack Welch type residing in the corner office of the top office floor is over, Mark Zuckerberg shares the same open office space with the rest of his Facebook employees.

Today’s Millennials do not want to be lead by emperors high on testosterone and authority, but leaders high on empathy and compassion. Google ngrams and Google trend confirm this global trend, with compassion and empathy winning over tyranny.


Interesting side note: As the picture below of the last 13 years of Google trends shows, tyranny had a short comeback November 8, 2017.



November 8 was the night where Donald Trump was elected US President.

As the zoomed-in picture below shows, “tyranny” is now almost down to its pre-election level. Empathy is back to being the leading trend, running in lockstep with compassion.


Over the last few years universal awareness that all living creatures show empathy has been increasing. In my most recent book “SwarmLeadership”  I introduce a framework based on “social quantum physics”, which explains how all living beings are connected through empathy in entanglement, and learning.


“Empathy” is the main driver for “entanglement”, which connects all living beings. “Entanglement” is the strong tie that for example every child has with his mother, or a husband to his wife, or that connects two best friends.  Entanglement happens by reading the mind of the other, trying to guess what the other might be thinking right now. The more empathy one has, the better she is at this game. At the same time, living beings never stop to learn in a ceaseless feedback loop of “reflect and reboot”, re-assessing the status quo and adapting to it if necessary.

Empathy is by no means restricted to humans. There are spectacular examples of empathy among elephants, this video from the Seoul Zoo shows how an elephant family collaborated in saving a drowning elephant baby. There are also many stories of dolphins helping not just their own brethren, but also humans, whales, and other animals in distress. But empathy goes much wider, for instance rats will forgo a chocolate treat to free their trapped companions

There might even be empathy among plants. While trees operate at a much slower pace than animals, they nevertheless take care of their weak. In his book “the hidden life of trees”,  Peter Wohlleben. describes how old trees without any leaves are supported with nutrients from neighboring trees of the same species to keep a member of their own community alive. 

Empathy and entanglement thus are the drivers of  any living networks with members of any species. For instance networks of trees communicate in a wood wide web through fungi in symbiosis with the trees’ roots. 

In our research we have developed “seven honest signals of collaboration” which can be used to measure empathy and entanglement on any level, from the global level on social media down to measuring face-to-face entanglement using the body sensors of smartwatches. If you would like to know more, you will find an in-depth description in my other new book “Sociometrics” .


Saturday, May 27, 2017

“Birds of a feather flock together” - Building a Tribe Detection System


As voiced by his press secretary Sean Spicer, US President Donald Trump frequently seems to live in an alternative reality. Reality is different for every living being, and that of course includes us humans.  Artists illustrate this very nicely, for them what is truth might change from one day to the next. For example, famous French painter and sculptor Matisse changed his perception of truth quite drastically over two years, repeatedly sculpting his model Jeannette from 1910 to 1913, shown in the progression of heads just below from highly realistic to highly abstract.

There are however groups of people, whose realities and definitions of what is “truth” are quite similar within their group. I call those groups “tribes”. Tribes, as defined in anthropology, share a name, a sacred symbol, rituals and beliefs, and they trust their leaders. For example, a well-known (although highly negative) example of how tribes are defined was Nazi Germany. It had its own name, the swastika as the sacred symbol, Hitler’s “mein Kampf” defining the shared value and belief system, the “Nazi salute” as its ritual, and the “F├╝hrer” as its trusted top authority.

Looking at today’s alternative realities, I proposed an earlier framework consisting of three main tribes, the “fatherlanders” or ultra-nationalists, the “nerds” or progressives, and the “treehuggers” or environmentalists. However, reality is more complex than that, in particular if we include alternative realities. I therefore consulted the collective mind as articulated on Wikipedia and Twitter, and tried to group the tribes based on their expressions on these online social media. Starting with Wikipedia categories, I ended up with three additional dimensions that define what tribe one belongs to, leading to the following four categories:
  • Alternate Realities, which according to Wikipedia are defined as “a hypothetical self-contained reality co-existing with one's own”
  • Ideology, which is a “comprehensive set of normative beliefs, conscious and unconscious ideas, that an individual, group or society has.”
  • Lifestyle, which “denotes the interests, opinions, behaviors, and behavioral orientations of an individual, group, or culture”
  • Culture, which “is the social behavior and norms found in human societies”.


As we all are multidimensional creatures, we will belong to multiple tribes. The picture below shows the four tribal categorizations, with the key tribes in each tribal category:


How did I create this framework?
By consulting Wikipedia and its categories.

While “alternate reality” does not have a Wikipedia category, the other three tribal categories are rather detailed, see

Using Condor’s Wikipedia Category Fetcher, I created the category network for each of the tribe categories. Below is the ideology category network:

I then looked on twitter for each of the major tribes how many people self-identified with a particular tribe. This led to the major ideology tribes: Feminism, Transhumanism, Socialism, and a collection of rightwing ideologies, which, based on our Twitter analysis, we label “Libertarians”.

Repeating the same analysis for the lifestyle categories gave the full tribal map shown below:

Again checking on Twitter, for instance nobody self-identifies with the “sedentary lifestyle”, although probably a large fraction of the Western population would belong into that tribe. A similar problem arises with the “off-the-grid” lifestyle, as these people are not identifiable in social media. In the end, we are left with the “Fitness”, “Veganism”, and “YOLO” lifestyles.

The Condor analysis for the Wikipedia category “culture” leads to the following network: 



Again checking on Twitter for the popularity of the different culture tribes, we find that the four tribes tourism, sports, arts, and fashion seem to dominate.

Using the latest deep learning algorithms, and matching an individual’s word usage with the Twitter word usage of a tribe’s leaders, allows each person to find her tribe profile for “alternate realities”, “ideologies”, “lifestyle”, and “culture”. This means that each person can calculate her tribal profile, telling her how much of a fatherlander, nerd, or treehugger she is, for instance.  
For example, my alternative reality profile is here:

Here is Donald Trump's alternative reality profile:
And here is Bill Gates'    


Try our system for yourself (you will need to have a Twitter account and some English Tweets) at http://5.35.249.27/condortribe/

Just like a personality test, it will tell you to what tribes you belong (alternative realities is online, the other three categories will be coming soon...)
Thanks a lot to Joao Marcos da Oliveira  for building the pilot system.