Our traditional institutions, leaders, and experts have shown to be incapable of understanding and accounting for the multi – dimensionality and connectivity of systems and events. The rise of the far-right parties in Europe. The disillusionment of European Parliament elections as evidenced by voter turnout in 2009 and 2014 (despite spending more money than ever), the Brexit and now the election of Donald Trump as president of the United States of America. In short, there is little reason to trust experts without multiple data streams to contextualize and back up their hypothesis.
How could experts get it wrong? Frankly, it’s time to shift out of the conventional ways that we try to make sense of events in the political, market and business domain. The first variable is reimagining information from a cognitive linguistic standpoint. Probably the most neglected area in all of business and politics – at least within the mainstream. The basic idea? Words have meaning. Meaning generates beliefs. And beliefs create outcomes, which in turn can be quantified. The explosion of mass media, followed by identity driven media, followed by social media, and alternative media. We are at the mercy of media systems that frame our reality. If you doubt this, reference the charts below. Google trends is deadly accurate in illustrating what is on people’s mind the most, bad or good, wins – at least when it comes to U.S. presidential elections. The saying bad press is good press is quantified here. As is George Lakoff’s thinking on framing and repetition (Google search trends can be used to easily see which frame is winning BTW ).
Within this system, there is little reason to challenge one’s beliefs and almost nothing forcing anyone to question their own. Institutions and old media systems used to be able to bottleneck this, they were the only one with a soap box and information was reasonably slow enough. To outthink current systems there is a need for a combination of sharper thinking, being able to quantify unorthodox data such as open source intelligence (OSINT) and creativity that traditional systems of measurement and strategy lack. Business, markets, and people strive, to a fault, for simple, linear and binary solutions or answers. Unfortunately, complexity doesn’t dashboard into nice charts like the one below. The root causes of issues are ignored due to a lack of context, which in turns create a large window for false assumptions on what affects business initiatives. These are approaches are for the most part only helpful at the superficial level.
I know this may feel like a reach in terms of how all that is mentioned is connected so more on OSINT, data, framing, information, outcomes, and markets to come.