2012 and the Future of Future

By: Brian Mehler

The new sci-fi thriller 2012 portrays a series of catastrophic events predicted by the Mayans, Nostradamus, and ancient scriptures from all corners of the world.  Although the apocalyptic theme this isn’t the most original idea for a movie (Independence Day, Armageddon, Deep Impact were pretty similar), I will probably throw down my $10.85 at some point this up-coming Thanksgiving weekend to digest the mayhem (besides, I rarely miss a Danny Glover flick). While the narratives feeding the movie’s plotline make for great blockbuster events, they also bring to mind the ways that civilizations have used technologies to predict the future.  Many of these predictions, the ones in 2012, show a deterministic view when it comes to predicting future events.  The extravagant events in the movie suggest that there is an inevitable outcome or progression in human history.  Do the types of prognostication of the past parallel the way people today predict the future and interpret history?

As someone studying technology and culture, I’m interested in the ways that ancient civilizations used technology to predict the future compared to how we use modern technologies to predict future weather patterns, political outcomes and market fluctuations. The Mayans used astronomical instruments to anticipate future events (as explained in 2012).  Similarly, the Egyptians used mathematics and calendric cycles to predict the flooding of the Nile- a use of technology to predict future economic outcomes.  As a more recent comparison, W.B. Yeats’ book “A Vision” outlines a cyclical vision of human history transposed over a rotating gyre of time and space.  Like the movie, Yeats' book also predicts global events around the time of the millennium.

In contrast to the deterministic views of history, Cass Sunstein’s book “Infotopia” discusses the long-practiced art of using market patterns and the information economy to predict the future(s) based on past experiences and outcomes.  Sunstein explains how internet technologies are being used as an aid to future prediction, and that many corporations like Consensus Point and Intrade are using algorithms and programs to find patterns in market changes over the net.  In the research sector, groups like the University of Iowa’s Electronic Market are also using new computing technologies to generate future predicting programs.  In a specific example, Sunstein mentions a computer program named “Polly” that correctly predicted the George W. Bush would eventually win the 2004 election over John Kerry when Kerry was far ahead in the polls.  There is also increasing interest in genetic algorithms- statistical programs that generate probable outcomes to problems in any field or discipline.  These algorithms are a specific type of evolutionary algorithm that considers the traditional aspects of the biological process: inheritance, mutation, selection and crossover.  The populations and solutions (genotypes and phenotypes) of these studies are represented in binary coding with certain input-parameters assigned by the program’s creator to determine the fitness of the outcomes in the given scenarios.

Genetic Algorithms

Because of the way we use technology today to predict the future, does this mean our understanding of history is more evolutionary than determinist?  Is this new perspective or a modified one?  Of course this depends on who you ask, but more importantly, how does technology alter and inform the fundamental understandings we have of history and the future?  Is it possible that the internet can allow for a more holistic understanding of historical events (explained and unexplained) and be willing to accept divergent explanations for events simultaneously?

Personally, I feel we are

Personally, I feel we are far too confident in our ability to predict the future and have never been close to being able to do so. It is easy to hypothesise in hindsight about what caused what but the value of any theory is in its predictive ability. See Popper's "The Poverty of Historicism". He criticises the social sciences for its grand attempts to explain past changes and predict future ones. However, I think the argument can now be applied to many branches of science above a certain level of complexity. If you aren't able to come up with something that repeatedly predicts with accuracy the chances are you know very little no matter how complicated and well articulated your explanations are. Yet many fields treat suppositions as well tested theories (e.g. in dietary science, climate science). Good theories often lead to reliable technologies. Poor theories often lead to grand prophecies that cannot be tested for many years (otherwise they would not survive). ///// Any objective look at past predictions of the future show that we've never been able to predict much better than if we predicted completely randomly. Also, there is a bias in that the people who predicted more correctly (by chance) are the most likely to survive and prosper and so their predictions may seem to have been more prevalent than they were. ////// Here is a short proof (from Popper): In order for humans to predict the future of a system containing humans they have to predict the future of human knowledge. This means humans would have to know future human knowledge, which is a contradiction unless human knowledge never changes.

A note on "Polly"

Here are two ways of looking at Polly example: 1. Its success is a testament to the insight and complexity contained in this computer model. 2. Roughly half of all computers (or coin flips or horoscopes etc.) randomly generating outcomes would have had the same success.
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