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SciTech Birth Day: February 11
SciTech Impact Areas
01. Climate Change
02. Alternative Energy
03. Computer Power
04. Nanotechnology
05. Stem Cells
06. Communications
07. Hydrocarbon Use
08. Clean Transportation
09. Online Information
10. DNA Decoding
11. Cell Biology
12. Photonics
13. Proteomics
14. Quantum Physics
15. Genetic Modification
16. Degrading Oceans
17. Robotics
18. Nanomedicine
19. Neuroscience
20. Extending Lifespan
21. Overpopulation
22. Scientific Instruments
23. Synthetic Biology
24. Nuclear Physics
25. Artificial Intelligence
26. Body Implants
27. Major Disease Cures
28. Water Shortage
29. Species Loss
30. Brain Enhancement
31. Origin of Life
32. Sensor Technology
33. Pandemics
34. Exogenous Life
35. Dark Matters
36. Cosmology
37. Energy Storage
38. Virtual/Augmented Reality
39. Space Exploration
40. Impact Event
02. Alternative Energy
03. Computer Power
04. Nanotechnology
05. Stem Cells
06. Communications
07. Hydrocarbon Use
08. Clean Transportation
09. Online Information
10. DNA Decoding
11. Cell Biology
12. Photonics
13. Proteomics
14. Quantum Physics
15. Genetic Modification
16. Degrading Oceans
17. Robotics
18. Nanomedicine
19. Neuroscience
20. Extending Lifespan
21. Overpopulation
22. Scientific Instruments
23. Synthetic Biology
24. Nuclear Physics
25. Artificial Intelligence
26. Body Implants
27. Major Disease Cures
28. Water Shortage
29. Species Loss
30. Brain Enhancement
31. Origin of Life
32. Sensor Technology
33. Pandemics
34. Exogenous Life
35. Dark Matters
36. Cosmology
37. Energy Storage
38. Virtual/Augmented Reality
39. Space Exploration
40. Impact Event
Impact Areas listed in order of ranking

What if most people lived to 100?
It’s more than possible. In the not very distant future, most people will live to be 100 years old. That possibility…should make people pause. First off: Is it true? Second: If true, when might it happen? Third: What does that mean, for a lot of things?
Almost a third of the “impact areas” listed here at SciTechStory contribute to the coming reality of an Extended Lifespan (also an impact area): DNA Decoding, Cell Biology, Brain Enhancement, Medical Robotics, Major Disease Cures, Nano-medicine, Bio-implantation, Neuro-intelligence, Scientific Instruments, Sensor Technology, Stem Cells, and Synthetic Organs. Collectively these impact areas represent the research work – and important advances – in a fleet of disciplines: Neuroscience, genetics, molecular biology, nanotechnology, robotics, gerontology, pharmacology…to name but a few. It’s not like expanding the span of human life is the be-all-end-all for most of this research, but for most it’s a direct result. If major diseases can be cured, people will live longer. If cell biology discovers how to reverse the deterioration of aging, people will live longer. If body parts can be repaired or replaced through bio-implantation, synthetic organs, or stem cells, people will live longer. And so forth…
A recent article in the English publication, The Guardian, highlighted the issue: Great expectations: today’s babies are likely to live to 100, doctors predict.
The ‘we’re going to live longer’ scientific literature is becoming common. Perhaps you have heard or read about it yourself. Do you believe it? [Personal anecdote: My father was lamenting to my aunt about the poor state of the world. This was in 2001. My aunt replied, “Yes, but we’re living longer.” She died at 93, despite life-long epilepsy and eventually Alzheimer’s. My father lived to 99.] The confirming statistics are everywhere: The number of centenarians is increasing by about 7% a year. The average life-span in Medieval Britain was 20-30 years. By the early 20th Century it was 30-40 years. Now it is approximately 75 years.
The question about when this will happen – when will most people live to 100? – is answered by “starting now, in developed countries.” Starting probably within a few decades for much of the rest of the world. Keep in mind that the world average is already at 65 years of life.
All this means that we’d better not forget demographics when it comes to looking at the future. For example, how should we plan for social security (of whatever kind), when people routinely start living 90-100 years? What happens to the nature of work, and employment, when the difference between the end of work (now around 65) and death is no longer ten or twenty years, but thirty and forty years? How do our health care systems adjust to a radically aging population?
These questions barely scratch the surface.
Meanwhile the research goes on, not just apace but at an advancing pace. People living now will benefit from the discoveries yet to come, but it’s our children who will see the most change and have to deal with the most consequences.