Remarks on “Limits to Human Lifespan”

  • Christos H. Skiadas
Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 46)


We introduce and apply several methods for exploring the human lifespan process in connection to the publication by Dong et al. 2016 on “Evidence for a limit to human lifespan” in Nature in 2016 and the debate emerging mainly published in Nature as well in 2017 along with authors replies. We found it constructive to propose and test several applied methodologies using the centenarian and supercentenarian data sets from various data bases and to give illustrative presentations along with fitting and forecasting. By analyzing these data sets various results are obtained and presented in supporting illustrations and tables. We have provided more tools for analyzing centenarian and supercentenarian data along with the existing methodologies.


  1. Brown, N. J. L., Albers, C. J., & Ritchie, S. J. (2017). Contesting the evidence for limited human lifespan. Nature, 546.
  2. De Beer, J., Bardoutsos, A., & Janssen, F. (2017). Maximum human lifespan may increase to 125 years. Nature, 546.
  3. Dong, X., Milholland, B., & Vijg, J. (2016). Evidence for a limit to human lifespan. Nature, 538, 257–259. ISSN: 1476-4687. Scholar
  4. Gompertz, B. (1825). On the nature of the function expressive of the law of human mortality, and on the mode of determining the value of life contingencies. Philosophical Transactions of the Royal Society of London A, 115, 513–585.CrossRefGoogle Scholar
  5. Hughes, B. G., & Hekimi, S. (2017). Many possible maximum lifespan trajectories. Nature, 546.
  6. Janssen, J., & Skiadas, C. H. (1995). Dynamic modelling of life-table data. Applied Stochastic Models and Data Analysis, 11(1), 35–49.CrossRefGoogle Scholar
  7. Lenart, A., & Vaupel, J. W. (2017). Questionable evidence for a limit to human lifespan. Nature, 546.
  8. Rozing, M. P., Kirkwood, T. B. L., & Westendorp, R. G. J. (2017). Is there evidence for a limit to human lifespan? Nature, 546.
  9. Skiadas, C. H., & Skiadas, C. (2010a). Comparing the Gompertz type models with a first passage time density model. In C. H. Skiadas (Ed.), Advances in data analysis (pp. 203–209). Boston: Springer/Birkhauser.CrossRefGoogle Scholar
  10. Skiadas, C., & Skiadas, C. H. (2010b). Development, simulation and application of first exit time densities to life table data. Communications in Statistics-Theory and Methods, 39, 444–451.CrossRefGoogle Scholar
  11. Skiadas, C. H., & Skiadas, C. (2014). The first exit time theory applied to life table data: The health state function of a population and other characteristics. Communications in Statistics-Theory and Methods, 43, 1985–1600.CrossRefGoogle Scholar
  12. Skiadas, C. H., & Skiadas, C. (2015). Exploring the state of a stochastic system via stochastic simulations: An interesting inversion problem and the health state function. Methodology and Computing in Applied Probability, 17, 973–982.CrossRefGoogle Scholar
  13. Skiadas, C. H., & Skiadas, C. (2017). Exploring the health state of a population by dynamic modeling methods. at:

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.ManLabTechnical University of CreteChaniaGreece

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