#Microsoft, #Skype: this is very stupid.
What comes before the `@` in my email address is… a single character. You're banning a letter of the alphabet for me.
You're preventing me from using a very robust, completely new password — so now I have to make some contortions (and most importantly, _remember_ those contortions) to adapt my usual password strategy to this silly requirement.
I don't deny the valuable input provided by ethics as perhaps the only exception to my initial claim. And even so, as I said before, good modern moral philosophy tries very hard to be rational, evidence-based, objective, parsimonious, coherent and accurate (there's a lot of math there, in the form of estimates, stats, probability, logic, etc). Those traits may not suffice to qualify as “science”, but it surely gets much closer to “scientific” than “all the other stuff” (pre-modern philosophy, religion, hunches, tradition, etc).
In this article, there are nine mentions of “survival/dying odds/chance”, and a few references to “potential years of life” and to the age of the patients. All those are nothing but numbers: either well-known figures, estimates, probabilities, or approximations taken from actuarial tables.
Also, I want to highlight that the article mentions three different moral theories (utilitarianism, contractarianism, and deontology) and three people to represent or defend each… and the conclusion is that for all of them, it makes sense to give priority to those who are more likely to benefit from treatment over those with worse odds.
It's almost as if ethicists mostly agreed and had very little to contribute, once that consensus is reached.
Where is room for progress? In the numbers. Get more accurate analysis and thus better diagnoses, more precise survival chances, better estimations of the effects of different treatments… and the priority queue gets closer and closer to perfect.
Ah, yes. That too. I forgot to object to that sentence.
Expanding on what @ImperfectIdea said: as long as one can
* refine the model,
* consider more variables,
* measure more parameters,
* measure the same parameters but more accurately,
* run more simulations,
* find more instances of the same phenomenon in the past,
* or even survey more experts in the field,
definitely additional measurements would help.
Very interesting questions. Indeed those interest me especially (because I'm a rationalist, an utilitarian, and an effective altruist).
First of all, and most importantly: even if I were paralysed by those quandaries and were unable to offer a single helpful comment, that would _not_ prove that #SPAOSKPE (“science plus applications of scientific knowledge plus engineering”) don't suffice to solve them — it's much more likely that I personally lack the knowledge, training, intelligence or time to make any progress.
Still, some ideas about how a purely “scientific” mind could proceed:
The concept of risk can be studied and modelled mathematically. Mathematicians working for insurance companies and quants working in Wall St do that routinely.
Even if the expected value is constant in your scenarios, the risk is clearly not. It makes total sense that one always chooses the path that minimises risk, ceteris paribus. I think that criterion alone would “solve” these scenarios.
Now, I agree with you that “it is definitely difficult to give a quantitative answer”. Your scenarios are easy because the expected value is constant. It becomes more tricky if you say that 300 people boarding the life boat risks a 50% chance of everyone dying. Then the expected value changes, and we can't look at risk alone to break the tie.
I don't know how this gets modelled formally. But I do know that there are ways, and I very much doubt that risk departments in banks, nuclear safety agencies, public transport regulators and those tasked with allocating limited resources for public health rely mostly on their gut, scripture or prescient dreams.
🙄
OK, you win. By exhaustion of the opponent. 😆
Please know that, from now on, wherever I use the loose word “science” I'm actually referring to “‘science’ plus ‘applications of scientific knowledge’ plus ‘engineering’”.
I don't even remind why we were splitting hairs like this.
Ah, yes. Let me rewrite once again:
> What else do you need to work on this problem and come to a solution, other than _science plus applications of scientific knowledge plus engineering_?
Coming back to my initial claim, my point is that:
* All those fields are quantitative, they rely heavily on math; and they at the very least _try_ to be evidence-based, to use reason, and to aim for objectivity.
* Wherever one draws the boundaries of “science”, all those fields are parsecs away from entirely different sets of tools that people often use for decision-making, both at the individual level and as a society (once again: religion, tradition, intuition, authority, etc).
* With the possible exception of moral philosophy, no extra ingredient is necessary, or even desirable, to improve the world or to aid in individual decision-making.
Looking at Tokyo in the night - View from ISS [Image credit: Scott Kelly]
#science #space #Earth #ISS #SpaceStation #Tokyo #Japan #photography
> _“Scientists can (and sometimes should) work on solutions for specific real world problems, but their work is no longer the textbook definition of science; that falls under engineering.”_
If a physicist working on evaluating the impact of different interventions to tackle climate change, a psychologist proposing improvements to an existing type of therapy and a biologist manipulating genes to make a certain crop more nutritious are _not doing science_ according to that “textbook definition” of “science”, I'd say that definition is useless in practice.
> _“Your example of cake cutting problems falls under mathematical optimization, which although has a lot of real world applications, can be studied on its own.”_
I have the impression you are doing all kinds of contortions to avoid acknowledging the common-sense meaning of “science” that the vast majority of us have in our minds, especially when contrasted with other areas of knowledge or epistemic systems that are obviously _outside_ the purview of even the most loose concept of “science” imaginable (religion, tradition, intuition, authority, etc).
Definitely the words “science” and “scientific” are not helping in this debate.
I suspect each of us thought the meaning of those words was clear, and that everybody else would agree with those definitions. Unfortunately, it's clear that they mean different things to different people and that we draw the boundaries in different places.
Let's try to move forward without relying on that specific word.
I stand by [my initial claim](https://qoto.org/@tripu/108376014503251403) slightly edited as so:
Come on, we are talking degrees here. We all know [there is only one pure science](https://xkcd.com/435/), and everything else is more or less a farse :)
> _“The purpose of science […] is to understand nature, not come up with solutions.”_
Uh?
If vaccines are not a “solution”, what is?
Does a researcher stop “doing science” the moment they complete their postdoc and focus on making a pacemaker slightly easier to maintain? Pacemakers are solutions, too. And more reliable, safer, smaller pacemakers are solutions to whatever shortcomings the previous solutions had.
Even a mathematician working on a better cake-cutting algorithm is working on a solution to something very specific and of human interest — and not so much in understanding natural phenomena.
_Of course_ #science is concerned with modifying reality (for the better!) as well as with understanding reality.
Human well-being is the ultimate magnitude of the natural world that anyone would want to optimise for, and science is the main tool we have for that.
> _“Computer science is not a science.”_
I happen to be a “computer scientist” (and also a “software engineer”).
It's debatable, and I understand your reasons for saying so. I myself have struggled with that question often.
At the same time, if computer scientists aren't scientists, _physicists and chemists aren't scientists either_:
> _“**Computer science has, by tradition, been more closely related to mathematics than physics, chemistry and biology.** This is because mathematical logic, the theorems of Turing and Godel, Boolean algebra for circuit design, and algorithms for solving equations and other classes of problems in mathematics played strong roles in the early development of the field. Conversely, computer science has strongly influenced mathematics, many branches of which have become concerned with demonstrating algorithms for constructing or identifying a mathematical structure or carrying out a function. […] For these reasons, some observers like to say that **computing is a mathematical science**.”_
— Peter Denning, “Computer Science: The Discipline” (2000).
> _“Literature is most definitely not.”_
I know, I know… I was applying the concept in a lax way…
When I was a #teenager my dream #job was to direct and host a night #radio show in @radio3_rne where I would play great music and speak in an enigmatic voice about unusual ideas.
Now that I'm 41, my #dreamjob is to read important #books, write regular opinion pieces, attend cultural events, and perhaps and host a #podcast about it all.
I still love #tech, though.
That's debatable: (good modern) moral philosophy tries to derive statements rationally from a parsimonious set of axioms (yes, there are axioms at the root of it, but as we said that's true of _any_ discipline).
But I'm willing to drop that one for the sake of making progress in the debate.
My question stands: what else do you need to work on this problem and come to a solution, other than #science?
/cc @ImperfectIdea
> _“You cannot however use science alone to take it.”_
Challenge accepted!
> _“You must first of all decide whether wealth transfer or social intervention are things that should be done, that is, if you think it is a moral and acceptable thing.”_
**Economics**: a (social) science. It studies the allocation of scarce resources (in this case, money), and in doing so provides answers to the eternal conflict between _efficiency_ (economic growth) and _equity_ (redistribution) — which is at the root of my hypothetical scenario. Necessary here.
**Moral philosophy**: a (soft) science. The study of ethics. Definitely helpful for this example too, to help disentangle questions of “is vs ought” that Economics alone can't resolve.
**Political science** (it's in the name): concerned with systems of governance and power (redistribution is implemented within those systems).
**History**: a (soft) science studying the past, and change. Because redistribution measures have been proposed or implemented before. (How did they work, what happened?)
**Medicine** (focused on physical health) and **psychology** (because individuals react to the status quo, and to proposed policies). We're trying to optimise human well-being here, after all. **Sociology** too, because _societies_ as a whole react to the status quo and to proposed policies also.
Underpinning it all: **mathematics** (especially **statistics**). **Chaos theory** to better understand market dynamics under the proposed changes.
Throw into the mix also **computer science** (to run simulations of public policies and changes in incentives). Heck, even the systematic study of **literature** [would provide useful inputs here](https://en.wikipedia.org/wiki/Project_Cassandra_(literature)).
These are all “sciences” (admittedly, under a lax definition of “science”) — in any case, definitely closer to the realm of science than to any of the other epistemic systems we've mentioned (tradition, intuition, religion, etc).
There you are. What else do you need to work on this problem and come to a solution, other than #science?
@rastinza, let me try to reset the conversation, with a couple hypothetical scenarios:
👉 We are discussing some wealth transfer program or social intervention. I present you with a number of specific individuals, in order to decide who should pay, or start paying more, or be asked to help the community somehow — and who should benefit from subsidies, grants or other kind of social assistance. How do you proceed?
👉 You're pondering whether to have kids at all, or have another kid, or have kids now or ten years from now. Your friends advise you in one direction, your religion tends to recommend something else (but your own pastor seems to disagree), your parents have their own piece of advice, social norms push you in one direction, and your gut seems to disagree with them all. How do you make up your mind?
👉 You could invest what little spare time you have in studying a new degree, working extra time at a side gig, tackling the pile of books you've been meaning to read for years, or starting to work out. What tools do you use to move forward?
/cc @ImperfectIdea
Last week I donated 10% of my gross income of 2021 to [_Ayuda Efectiva_](https://ayudaefectiva.org/) as part of my commitment to the [“Giving What We Can” Pledge](https://www.givingwhatwecan.org/pledge/).
❤️
#EffectiveAltruism #AltruismoEficaz #GWWC #philanthropy #AyudaEfectiva