In the last 4 posts of this study I’ve built up an argument showing the need for a definition of biological aging that consolidates existing consensus knowledge in the field but also flexible enough to incorporate new knowledge within that current paradigm.
This is still not the final formulation, but this is what I have right now:
‘Biological aging is agings underneath, the result of multiple, separate, diverse, interconnected, but malleable processes, eventually compromising normal functions of the organism at different rates and at all (organisational, spatiotemporal) levels.’
What are some open problems left with this definition?
‘Biological aging is agings underneath, the result of multiple, separate, diverse, interconnected, but malleable processes, eventually compromising normal functions of the organism at different rates and at all levels.’
Today we connect the second, explicative and third, recursive parts by going back to the 4 criteria Carnap lists for a – good, or at least functional – scientific explicatum to meet:
i., similarity to the explicandum,
ii., exactness to introduce the explicatum ‘into a well-connected system of scientific concepts’,
iii., fruitfulness to be useful in formulating empirical laws or logical theorems, I take this feature roughly the same as scientific ‘utility’, ‘applicability’ or ‘productivity’,
iv., simplicity as simple as possible and allowed by the above 3 criteria.
The focus of our investigation here has always been on biological aging. In our recursive definition attempt the main suggestion is that out of the irreducible plurality of diverse but interconnected biological aging processes operating on the molecular, cellular and other sub-organismal levels, organismal, individual level biological aging can be understood and interventions can be designed against it.
But we need a step back here and acknowledge a more fundamental irreducible plurality of the aging concept, a sort of global version of the local plurality of biological aging , namely that the default aging concept has been used in several different meanings already. This global plurality comes first as aging usually presents itself in different variants depending on the domain we are talking about it.
We can talk about aging of living things but we can also talk about aging of non-living objects, natural (planets, rivers) or human-made (cars, houses, pipes).
Within living, biological organisms we usually talk about species level specific aging, out of which human aging is our default version, not surprisingly.
Within human or human-related aging we have many versions, some of them I captured in the figure below, and biological aging, the one with medical consequences is only one of them.
At the core of all aging concepts is chronological aging, the passage of time, that can be registered, measured. Since our mode of existence is temporal (spatiotemporal) everything we do, experience and observe has a temporal aspect, an aspect that gives rise to all of our possible aging concepts.
This is part 2 of my series on causation and aging. Last time I introduced the ladder of causation in aging where the bottom step of the ladder was also the most mysterious one that seems to be so intimately linked with all things aging that many people cannot think further: time. Our guiding questions were: How can time play a causal role in bringing about different forms of aging, and in our case, more specifically: can time be factored in as a cause in any conceptual or empirical sense of the diverse processes of biological aging? Here’s the edited slide I presented on this during my PhD seminar talk in Budapest.
Starting a series related to causation and aging, this being part 1. Don’t expect super-systematic explication, more like inter-linked fragments.
My October, 2019 Philosophy PhD Seminar talk at Eötvös Loránd University in Budapest had a twin-focus, one on a recursive definition of biological aging, the second on causation in aging. The two questions are conceptually interconnected at a level of figuring out whether the hallmark processes used to define biological aging can be considered necessary or sufficient causes of the overall biological aging process. My understanding of causation has been profoundly influenced by Judea Pearl & Dana Mackenzie’s The Book of Why and in general by Pearl’s causal inference handling technique, one source being Bayesian networks, another source being counterfactual probabilities amongst others. As a biologist am already indebted to a different Bayesian analysis method and as an analytically trained I’ve been using counterfactual type of analysis all the time, being at the core of thought experimentation. To my surprise, I’ve also managed to attract the attention of Judea Pearl himself on Twitter to the problematics and need for a proper causal analysis related to biological aging. Let’s see whether we can turn the attention into concentration.
The first several posts in the series is going to be a quick write-up of my slides I presented. The slides are available here.
Please see below how I consider at first the different, yet fundamental causation layers in the context of aging. I dubbed this figure as The ladder of causation in aging as an obvious paraphrase/allusion of Pearl’s Ladder of causation, and while there’s a lot of connection between the 2 ladders, there’s no strict mapping between the different shelves. Basically, all 3 ladders of Pearl’s causation ladder – association, intervention, counterfactuals – are aspects that can be examined, considered, excluded, applied in the context of the different layers in aging.
Please see slightly edited slides – removed some basically – of my talk I’ve given at the Institute of Philosophy, Eotvos University, Budapest, on the 25th of October, 2019. The talk was a joint Theoretical Philosophy Forum (TPF) and Student and Faculty Seminar on Logic and Philosophy of Mathematics (LaPom). The seminar gave me a great opportunity to focus on the theoretical/conceptual problems concerning the biological aging/longevity complex, that is the underlying core of the Open Lifespan studies. I’ve focused mainly on 2 problems: the definition of biological aging and causation in aging. Concerning the definition I’ve already published the following posts:
Equality of Opportunity (EOP from now on) is one type of equality concept where, and here I try to phrase it as generally as I can, individuals are pursuing any kind of life opportunities (mostly by choice) and the problem is to establish how equality can be guaranteed in terms of pursuing these opportunities within society. These opportunities usually reflect particular social positions as well. As examples, let’s mention job openings, applying in educational institutions, eligibility for health care procedures and so on. Continue reading “Open Lifespan, Luck Egalitarianism and Lifelong Radical Equality of Opportunity, part 1”