Life-Expectancy Calculations

Basic Criteria
Your Actuarial Life-Expectancy is an estimate of how many remaining years you may have in your total Life-Span. It is a function of the average life-span for your gender within a presumed social and ecological context minus the number of year which you have already lived (i.e., your present age). It is a statistical calculation that is based on demographic data that are gathered by public agencies. This might seem to be not very precise; but in fact, it is precise enough for insurance companies to bet on your survival and for them to make substantial profits on that wager. (The values used here are from U.S. Social Security Administration.)

Current Year:     (Note: retype, if not correct.)

(Note: if you do not select an age, the default value is for a newborn or age 0)

0 |  10 |  20 |  30 |  40 |  50 |  60 |  70 |  80 |  90
1    11    21    31    41    51    61    71    81    91
2    12    22    32    42    52    62    72    82    92
3    13    23    33    43    53    63    73    83    93
4    14    24    34    44    54    64    74    84    94
5    15    25    35    45    55    65    75    85    95
6    16    26    36    46    56    66    76    86    96
7    17    27    37    47    57    67    77    87    97
8    18    28    38    48    58    68    78    88    98
9    19    29    39    49    59    69    79    89    99

To go to the next calculation

In this and each of the following calculations, the top portion of the form deals with the calculation, itself. Then there is the button to "Submit Values" or "Proceed to ..." which leads to the next calculation. Below that is some incidental explanatory information. To make the process faster and easier, it is suggested that you might get the general idea better if, initially, you just proceed through the top sectors without diverting your attention to the explanatory information. After completing all of the calculations (something which takes about 5 - 10 minutes) and understanding the general idea about dynamically recalculating your Life-Expectancy based on progress in Life-Extension Science, then it might be more meaningful to page back and read the explanatory text, if you want a more in-depth understanding. Just a suggestion!

Some Background

### The Survival Curve, Life-Expectancy, and Control of Ageing

The above graphs are comparative Survival Curves for over 100 years, from 1900 and as projected into the near future.

In a Survival Curve, demographers take a certain population (e.g., 100,000 individuals within a particular social and ecological context), and they chart the mortality statistics over time, correlating that with the age of death. Technically, it is the Percentage Surviving (vertical axis) as a function of Age (horizontal axis).

In the above Survival Curves, we see that in 1900, slightly more than 20% of the population had died by age 10 and about 50% of the population had died by the age of 60. By the age of 70, only 30% of the population was surviving. Thus, most people did not suffer from advanced ageing, and your Life-Expectancy would have been about 20 years shorter than it is today. There were, however, some people who did live into their 80's; but they were the genetically hardy. Whereas now, because of industrialized society, advances in sanitation, consistency of food supply, improvements in personal hygiene and public health such as vaccination and clean water, and medicine, more than 50% of the population will live to over 80 years; and consequently, most of us will live long enough to suffer from advanced ageing. Keep in mind that "ageing" is a genetically programmed, down-regulation of biological structures and functions, which causes a declined in cell number, cell rate, and the quality of cellular components. Because it is genetically programmed, improvements in the environment and allopathic or conventional medicine will have only a marginal benefit - indeed, ultimately, will make the problem even worse. Health and medicine, to be effective, must correct the decline in cell number, rate, and quality at the genetic level. And that means the invention of new technologies.

Two other facts are of interest.

The goal of medicine must ultimately be the cure and prevention of all disease. But, if all causes of mortality (i.e., heart disease, cancer, stroke, diabetes, accidents, homicides, etc.) could somehow be eliminated by miracles in extremely advanced medicine, then the average life-span would be increased by only about 12 years; and in that situation, 100% of the population would end up living in wheel-chairs and dying of advanced senescense. So, advances in curing or preventing disease, from the approach of conventional medicine, is not a solution and is counter productive.

Another fact is that before 1900, when there were no antibiotics, effective drugs, practical surgical procedures (most surgery resulted in death from infection or shock) or other medical treatments of any consequence, for those individuals who lived to 65 years of age, their natural life-expectancy was about 76, which is only 4 years shorter that it is today, and those additional 4 years are probably due mostly to healthier living than to advamces in modern medicine. This is why conventional, disease-oriented medicine has not and will not be effective in the extension of healthy life-span, unless and until it evolves into regenerative medicine and the control of ageing.

Historically, we are in an unprecedented situation. We either solve the inherent genetic defects of our nature or we get trapped in and over-whelmed by the consequences of half measures. And that is why biological ageing is the central problem which we face, today and in the future; and it is ageing which needs to be cured. This prospect has been seen by demographers since the 1950's but now should be obvious to everyone.