Prediction of Life and Happiness


I am not a philosopher, but I came up with a concept of a happiness prediction on 3rd Dec 2010, and since then, I have built following theory and method to predict one's life and happiness based on the energy spectrum.

How to Predict Your Life and Happiness.


Schematic of energy spectrum

Turbulent flows consist of various scales of vortexes. The smallest scale of a vortex might be tens of micrometers and some millimeters for the largest scale. In a fully developed turbulence field, you can define the energy of vortex (squares of the velocity fluctuations) as a function of a diameter (scale) of vortex. Interestingly, if you plot the energy, which is normalised using appropriate quantities, as a function of 1/scale of vortex, the plot (the energy spectrum) has similar variation to one anohter for any turbulence (Right figure).

I think one's life (or happiness) also consists of various scale of events: this time, the scale is not spatial, but time scale. For example,

  • The largest time scale >>
  • One comes into the world and dies: once for each in one's life.
  • Marriage and divorce: zero-few times in one's life.
  • Admission and graduation from school/university: several times in one's life.
  • Employment/disemployment/promotion: several times in one's life.
  • Happy in the summer/depressed in the winter (espqcially in the UK): once a year.
  • Happy on a payday: once a month.
  • Happy on weekends, not on weekdays: once a week.
  • Sleeping in peace in a bed: once a day (usually).
  • Hungry and a full belly: three times a day.
  • >> The smallest time scale


Schematic of happiness spectrum

I assume that the normalised energy spectrum of the happiness for a person also has a similar variation regardless of the national origin, sex or creed. Left figure shows the energy spectrum of happiness. It is noted that we do not know what the plot looks like, although the shape of the plot is a key in this theory. Under this assumption, I think of using this similarity of spectrum shape to predict a person's life, at least when he/she will be happy and when she/he will not be happy, and how happy (how unhappy) as following steps:

  1. Calculate a factor for the normalisation for a person.
  2. Dimensionalise the happiness spectrum.
  3. Transform the axis of 1/time scale to physical time (by using inverse Fourier transform, for example).
  4. Now you get your own happiness prediction in time (Bottom figure).

It should be noted that since the time has only one dimension contrary to the space, there is a direct relation between happiness spectrum and prediction of happiness in time. Now, I (we) know the steps to predict one's life in theory. However two most important things have to be solved before obtaining the predictions.

  1. The spectrum of normalised happiness (above left figure) have to be obtained accurately in a statistical sense. I (we) have to collect several thoughsands samples from various people.
  2. A unit of human's happiness have to be determined and a factor for dimensionalisation also have to be defined in reasonable way. I would like to propose "apple" as a unit. For example, having a dinner is equal to 10 apples or catching a cold is equal to -200 apples (an "apple" corresponds to the happiness when you get an apple from your one of neighbors for free). The amount of happiness per "apple" takes unique value for each person, thus the happiness prediction differs from person to person. Also, if you use more than one scales (eg: "apple", "100$" and "holiday") for normalisation (dimensionalisation), the prediction has more degree of freedom (in which not more than one person have the same prediction).

I'm very sure that the spectrum of the normalised happiness of human has a similar shape for any persons and we can get our own happiness prediction, which is accurate statistically. I would like to start to find what human happiness is, in order to get the factor to normalise happiness. The factor should be compatible with our life experiences.


Schematic of life time prediction of happiness.