In a recent conversation with a
university dept. head, it was expressed that the meteorology dept. was concerned
about possible catastrophic tornadoes in the early spring this year in the
Midwest. We were able to tell him that while we were watching for the next big U.S. disaster in the early spring, that the risk of it being a natural disaster was low. However, close to April 9 there would be a greater risk for a natural event. As it turned out, those big storms that blew across the U.S. (Walda) were the most
powerful on April 8-10. Yet, we told him this before Walda even had a name. How was this possible?
The above chart is derived
from the relationship of entropy and its opposite phimation,* and their divergence between social mood and
the news. We quantify this in the way we categorize the social mood data
that we gather. When entropy in the news (vs. where people are at) is
sufficient and then phimation surpasses it, that means a natural disaster is likely. In the above chart, the light yellow range (45-55%) will
likely not do much damage in the U.S., but may manifest in serious natural event damage
elsewhere (e.g. the recent Iran earthquake).
In the middle orange range (55-70%), there will likely be some serious damage,
but it won’t be seen as a national “disaster” (e.g. Walda); also it may manifest as a natural disaster outside of the U.S.. The top red range (>70%) indicates events that will be experienced as
natural disasters in the U.S. are almost certain; risk for major natural disasters elsewhere would also be very high.
This is all based on a recent
breakthrough we had on the nature of disasters in late February, which has given us so much more to work with. Hope that helps to clarify our approach and the connection between disasters and social mood. For more on this recent breakthrough, check out the presentation: Disaster: Society's Shadow.
You can also like The MoodCompass Project on
.* Phimation as the self-organizing principle or force opposing entropy in complex systems was first used by Robert Prechter.
