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A Definitions of 'Toward'

I use 'toward' in my title of this book in a straightforward manner. An economics exists that can propel us toward a much longer lifespan for our minds. This economics does not present a magic bullet that can outstrip the laws of physics and there may be a very long path from here to achieving immortality. Also, do not underestimate mankind's ability to aim poorly.

On the Shape of the Change in Life Expectancy

What shape should we want to achieve in the change in life expectancy? We should want 'a convex curve with a slope greater than one.' This shape will help us reach an ‘immortal’ life expectancy.

Take a 20 year old male in 2015 with life expectancy of 80. A year later inn 2016, that life expectancy becomes 80.1. This man has gained 0.1 years of life expectancy in a year. We find a rate of change of 1/10. If that rate stays constant we will end up with a life expectancy of 86 when we reach 80. Six more years than we thought we'd get when at 20! In fact, if we run the sim out to our expected death we see that we live an average of 86.7 years.

But what if we increase expectancy by 0.5 years per year? Then our expectancy when we hit 80 becomes 110! 30 more years! But, we also see that if we run the sim to expected death we can expect to live to see 140. Almost, twice what we thought we'd see when at 20.

When we run the simulation with a rate of change of 1.1 years per year we see that our lives no longer have an 'expectancy.' When we reach this tech milestone, and can sustain it, we will have reached practical 'immortality.'

Here we find my intent in calling this an economics 'toward' immortality. We need to accelerate the increase in life expectancy to as close to and/or beyond 1 per year as possible, and we need to do it as quickly as possible. You would be wrong to think that imminent death would be enough to mobilize 6 billion people to pursue this goal. In this book I will put forward an economics that moves us toward that mobilization and make a case for the moral imperative to do so.

I have included the code to run these calculations below.

In this example we will see how the life expectancy of an individual can improve during a lifetime.

We will also see how an increase in this rate of change can drastically change one's life expectancy.

This function contains our simulation up to 80 years old:

run_life_test = (changePerYear)=>

Start with an expectancy of 80 years at 20 years old.

  life_expectancy_at_20 = 80
  new_life_expectancy = life_expectancy_at_20

Cycle through 60 years and improve the life expectancy by the changePerYear each year.

  for year in [1..60]
    new_life_expectancy =  new_life_expectancy + changePerYear
  return new_life_expectancy

This function contains our simulation up to expected death or 9999 years old:

run_life_test2 = (changePerYear)=>

Start with an expectancy of 80 years at 20 years old.

  life_expectancy_at_20 = 80
  new_life_expectancy = life_expectancy_at_20
  age = 20

Cycle through until we are older than the life expectancy.

  while age < new_life_expectancy and age < 9999
    new_life_expectancy =  new_life_expectancy + changePerYear
    age = age + 1
  return new_life_expectancy

We will run our example with a 0.1 year increment per year.

example1 = run_life_test(0.1)
example1b = run_life_test2(0.1)

We will run our example with a 0.5 year increment per year.

example2 = run_life_test(0.5)
example2b = run_life_test2(0.5)

We will run our example with a 2 year increment per year.

example3 = run_life_test(1.1)
example3b = run_life_test2(1.1)

Output our results:

console.log "example1:" + example1 + " death: " + example1b
console.log "example2:" + example2 + " death: " + example2b
console.log "example3:" + example3 + " death: " + example3b