Jess Whittlestone on rationality and why we should care about it.
Two major aspects of rationality are covered: 'epistemic rationality' - forming accurate beliefs and 'instrumental rationality' - the skill of advancing your goals given your resources. Jess then discusses what rationality isnt and some common misconceptions.
Further, Jess discusses three common components of rationality central to EA:
1) Seeking Truth (inc intellectual honesty, open-mindedness)
2) Questioning our intuitions (inc Thinking fast and slow)
3) Being 'effective' (being strategic instead of just responding to environmental pressures)
Video of Talk: https://www.youtube.com/watch?v=kqK_w6DQ6v8
Also of interest: http://jesswhittlestone.com/blog/2014/11/25/becoming-more-rational-what-i-got-out-of-the-cfar-workshop
Many thanks for watching!
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Evolution of Panchayat Raj Institutions and Its Role in Community Development.Hridoy Deb
I have completed this research project "Evolution of Panchayat Raj Institutions and Its Role in Community Development" under Directorate of Panchayats for the partial fulfillment of the requirement for the award of Master's in Business Administration under the guidance of Ms. Anjana Kalai and under the supervision of Mr. Pritam Bhattacharjee.
Study of basics Municipal Finance in India. Typical Institutional framework for Municipal Finance. Sources of Income & sectors for expenditure for a municipality in India. Case of Mehsana.
Evolution of Panchayat Raj Institutions and Its Role in Community Development.Hridoy Deb
I have completed this research project "Evolution of Panchayat Raj Institutions and Its Role in Community Development" under Directorate of Panchayats for the partial fulfillment of the requirement for the award of Master's in Business Administration under the guidance of Ms. Anjana Kalai and under the supervision of Mr. Pritam Bhattacharjee.
Study of basics Municipal Finance in India. Typical Institutional framework for Municipal Finance. Sources of Income & sectors for expenditure for a municipality in India. Case of Mehsana.
ROLE OF PUBLIC PARTICIPATION
Public participation
Stakeholders in spatial planning
A continuum of participation
History of Public participation-Global
Advocacy Planning
Indian context public participation
Amendments toward public participation
Current Scenario-Indian Context
Merits of Public participation
Importance of Public Participation.
ROLE OF PUBLIC PARTICIPATION
Public participation
Stakeholders in spatial planning
A continuum of participation
History of Public participation-Global
Advocacy Planning
Indian context public participation
Amendments toward public participation
Current Scenario-Indian Context
Merits of Public participation
Importance of Public Participation.
What is thinking and difference between thinking and critical thinking, Characteristics, How critical thinking can be used for problem solving and the steps included, Attitude of Critical thinkers.
emotionalintelligence-160806062005 from slideshare Emotional Intelligence.pptxMichelleBenning2
EQ is the skill to recognize different emotions in yourself and the world around you and to interpret and use these emotions to enhance your quality of life.
EQ is a set of abilities that helps you manage your emotions and relate to others.
EQ is the ability to recognize your emotions, understand what they're telling you and realize how your emotions affect people around you.
EQ is the ability to understand and manage both your own emotions and those of the people around you.
Mastery and Development of the five Emotional Intelligence (EQ) competencies - self awareness, self regulation, self motivation, empathy and social skills
Leland Sandler's Presentation on Creating and Capturing valueLeland Sandler
Leland Sandler & the Sandler Group present “Creating and Capturing Value”, using behavior tools to create more effective, successful, and confident leaders.
Follow Leland:
WEBSITE: http://lelandsandler.com/
THE SANDLER GROUP: http://sandlergroup.net/
TWITTER: https://twitter.com/lelandsandler
FACEBOOK: http://facebook.com/thesandlergroup
Our ability to learn new ways to think is the power of human potential. We have to make choices about the types of thinking that we apply to a variety of different challenges. Critical Thinking is the act of examining a set of facts and analyzing and evaluating relevant information. We live in a knowledge based society, and the more critically you think the better your knowledge will be. Critical Thinking provides you with the skills to analyze and evaluate information so that you are able to obtain the greatest amount of knowledge from it. It provides the best chance of making the correct decision, and minimizes damages if a mistake does occur. Critical Thinking will lead to being a more rational and disciplined thinker. It will reduce your prejudice and bias, which will provide you a better understanding of your environment.
This workshop will provide you the skills to evaluate, identify, and distinguish between relevant and irrelevant information. It will lead you to be more productive in your career, and provide a great skill in your everyday life. Lastly, critical thinking skills will support your capacity to be innovative. Once you fully understand what it is, you can begin exploring what could be.
By the end of this workshop, participants will be able to answer the following questions:
a. What is critical thinking?
b. How can I use nonlinear thinking strategies?
c. What does it mean for me to apply logic to situations?
d. How do I know when, how, and why to think critically about a challenge?
e. What skills allow be to better evaluate facts and data?
f. How will thinking differently effect my decision outcomes?
g. How can I challenge my self to see alternate perspectives?
h. How can I increase my problem solving abilities?
“Prediction is hard, especially
about the future.” –Yogi Berra
Why is the future so hard
to predict?
- History is chaotic
- Physics is indeterminate
- Biology is contingent
- Humans are complex
- We do not have all the
facts
History is chaotic
- By “history” I mean the
changes in the world state
over time
- A simple system can
become complex
- A complex system can
become stable and simple
On average
- Single objects have
unpredictable paths
- Ensembles of objects can
be more easily predicted
- The “Mule” Effect
(Isaac Asimov,
Foundation series)
History has layers
- Physics – what is possible
- Biology – what is likely
- Society – what is
permitted
- Technology – what is
chosen
Physics is indeterminate
- We cannot predict very
far even with physics
- Complex systems
behave chaotically
- We do not have all the
information
- Anyway, quantum
Biology is contingent
- Evolution is not linear
- What can evolve need not
- Constraints on what can
evolve exist, but can be
changed
- Chance and adaptation
Humans are complex
- Admiral Rickover and the
thorium reactor
- The anti-nuclear
movement
- Social progressivism and
conservationism
- Result: Global warming
Technology’s hope
- Green Revolution – Norman
Borlaug and the new crops
- The failure of Ehrlich’s predictions
– “100s of millions will die by
1980”
- Ehrlich was right in his wrongness
Now we have a global population
of 7 billion, and oil has peaked
We don’t know what we
don’t know
- How can we predict the unpredictable?
- It isn’t through wish fulfilment (ad hoc thinking)
- If the future is uncertain, our solutions to it will not be
certain until they either fail or succeed (post hoc thinking)
Why don’t we know?
- We know the world more or less at
present
- However, we have degrees of uncertainty
(distance, information flow)
- Information is lost from the present and
the past
- We have insufficient information to
predict the future
What do we do?
- Don’t despair
- Don’t be over optimistic
- Don’t think good intentions
equal good outcomes
Video here: https://youtu.be/b2J4Yesrqrw
Further issues raised in this talk addressed during Q&A with Greg Adamson here: https://www.youtube.com/watch?v=L96f-j4s8t4
Held at Future day in Melbourne 2015
Rationality & Moral Judgement – Simon Laham - EA Global Melbourne 2015Adam Ford
What have we learned from an empirical approach to moral psychology - especially in relation to the role of rationality in most every day morality?
What are some lessons that the EA movement can take from moral psychology?
Various moral theorists over the years have had different emphasis on the roles that the head and heart play in moral judgement. Early conceptions of the role of the head in morality were that it drives moral judgement. A Kantian might say that the head/reasoning drives moral judgement – when presented with a dillema of some kind, the human engages with ‘system 2’ like processes in a controlled rational nature. An advocate of a Humean model may favor the idea that emotion or the heart (‘system 1’ thinking) plays the dominant role in moral judgement. Modern psychologists often take a hybrid model where both system 1 and system 2 styles of thinking are at play in contributing to the way we judge right from wrong.
http://www.scifuture.org/rationality-moral-judgement-simon-laham/
Justin Oakley - Virtue Ethics and Effective Altruism - EA Global Melbourne 2015Adam Ford
Virtue Ethics and Effective Altruism
Justin Oakley, Centre for Human Bioethics, Monash University
In this talk, I briefly outline how virtue ethics can support effective altruism, as an expression of what Aristotle called the virtue of ‘liberality’ (sometimes translated as generosity). A person who has the virtue of liberality “does not value wealth for its own sake”, and “will refrain from giving to anybody and everybody, that he may have something to give to the right people, at the right time.” This virtue also involves acting from the right motives, “with pleasure or without pain”. So, virtuous giving, for Aristotle, involves giving with both the head and the heart. I will also explain how effective altruism is supported by the Aristotelian virtue of justice. However, there are a great variety of virtuous ways of giving, and I argue that it is important that effective altruism does not lead to other forms of helping, such as family caregiving to a frail and elderly relative, being undervalued. I also argue that a full ethics of career choice can justifiably make allowances for personal fulfilment and self-realisation, even where one’s career choice is not the most effective way of being altruistic. In closing, I briefly suggest that it need not be unethical for two people to start a long-term relationship which is likely to result in their being a less 'optimal team' for the world, compared with the relationships that each of them might have formed with others.
YouTube Video: https://www.youtube.com/watch?v=96HHUDIJg7I
Peter Singer - Non-Human Animal Ethics - EA Global Melbourne 2015Adam Ford
Peter Singer discusses moral value of non-human animals - the history of moral progress around equality of human animals and how we ought to treat animals - from Judaism & Christianity to Aristotle to Bentham (father of modern utilitarianism). Singer highlights Benthan's view that the capacity for suffering/joy is the vital characteristic that entitles a being to moral consideration. He discusses why we should take non-human animal suffering seriously and what we can do to alleviate the suffering of non-human animals.
Animal Liberation: https://en.wikipedia.org/wiki/Animal_Liberation_%28book%29
Peter paper 'SPECIESISM AND MORAL STATUS' where he convincingly rejects Speciesism: http://www.oswego.edu/~delancey/Singer.pdf
Abstract: "Many people believe that all human life is of equal value. Most of them also believe that all human beings have a moral status superior to that of nonhuman animals. But how are these beliefs to be defended? The mere difference of species cannot in itself determine moral status. The most obvious candidate for regarding human beings as having a higher moral status than animals is the superior cognitive capacity of humans. People with profound mental retardation pose a problem for this set of beliefs, because their cognitive capacities are not superior to those of many animals. I argue that we should drop the belief in the equal value of human life, replacing it with a graduated view that applies to animals as well as to humans."
Plato.Stanford Entry on Moral Status of Animals: http://plato.stanford.edu/entries/moral-animal/
Biography: Peter Singer is Ira W. DeCamp Professor of Bioethics in the University Center for Human Values at Princeton University, a position that he now combines with the position of Laureate Professor at the University of Melbourne. His books include Animal Liberation, Practical Ethics, The Life You Can Save, The Point of View of the Universe and The Most Good You Can Do. In 2014 the Gottlieb Duttweiler Institute ranked him third on its list of Global Thought Leaders, and Time has included him among the world’s 100 most influential people. An Australian, in 2012 he was made a Companion to the Order of Australia, his country’s highest civilian honour.
Video here: https://www.youtube.com/watch?v=TgRoZVT6kYc
Hilary Graves - Repugnant Interventions - EA Global Melbourne 2015Adam Ford
Repugnant Interventions - Doublethink in Global Prioritization Outline:
1) Global prioritisation: child mortality, family planning and the
cancellation worry
2) Making it quantitative: the benefit-cost approach
3) CBA for child mortality reduction
3.1) Arguments for not counting ‘knock-on effects’
3.2) Critique of the CBA
4) CBA for family planning
4.1) An excursion into population axiology
4.2) Critique of the CBA
5) Conclusions
Summary / Conclusions:
• Child mortality and family planning are both (fairly) frequently cited as ‘top picks’ in global prioritisation.
• This is prima facie curious, since the most-obvious effect of the second intervention is precisely to undo the most-obvious effect of the first.
• Benefit-cost analyses (indeed) only manage to make both interventions simultaneously come out as ‘top picks’ by engaging in ‘doublethink’: making inconsistent decisions as to which effects (‘direct’ vs ‘indirect’) to count vs disregard, across the two interventions.
• Analyses of mortality-reduction projects neglect indirect (e.g. economic) effects.
• There may be a case for ignoring such effects in some
contexts (e.g. doctor-patient relationships), but not at the level of global prioritisation.
• Analyses of family planning programs ignore the (‘direct’) ‘value of lives not born’, counting only the ‘indirect’ effects on others.
• This presupposes a person-affecting and/or an average-utilitarian approach to population ethics. Those approaches are initially intuitive, but ultimately indefensible.
• There is a resulting danger that we are currently wasting billions of dollars per year, by doing and then undoing good.
• To fix this: More sophisticated analysis, including serious attempts to put neo-Malthusianism and the value of individual additional lives in dialogue with one another, is required.
Video of talk: https://www.youtube.com/watch?v=QCoYq7kzcH0
Hilary Greaves is Associate Professor in Philosophy at the University of Oxford, specializing in moral philosophy. She is currently particularly interested in what moral philosophy has to say about actions that affect the number of people who will live, and in connecting abstract theoretical work in this area to real-world issues that are relevant to public policy and philanthropic intervention.
Oxford Bio: users.ox.ac.uk/~mert2255/
Alexis Carlier - Animal Charity Evaluation - EA Global Melbourne 2015Adam Ford
Alexis discusses Animal Charity Evaluators, and cause prioritization applied to non-human animal charities.
He tackles 4 key questions:
a) Is animal advocacy an effective cause area?
b) Which part of animal advocacy should we focus on?
c) What are some top charities that deal with animal advocacy?
d) What can we do about the problem of animal suffering?
Please see his discussion on stage with Peter Singer too.
Animal Charity Evaluators: Our mission is to find and promote the most effective ways to help animals. We do this by analyzing research on methods of helping animals in order to provide research of interventions and top-charity recommendations; and by offering suggestions on being a more effective animal advocate by providing career, charity, and volunteering advice.
Bio: Alexis is a research intern at Animal Charity Evaluators, where he is preparing case studies for ACE’s ongoing Social Movements Project. His research has focuses on the children’s rights and tobacco control movements. Alexis has been a Youth Member of Parliament and a Youth Ambassador for UNICEF in New Zealand. He currently studies economics at the Toulouse School of Economics in France.
Sam Deere – Effective Altruism and Policy Change - EA GlobalAdam Ford
In this talk Sam discusses effective strategies to effect change in policy. This talk was aimed at the Effective Altruism community though the basic principles apply widely.
Video of the talk:
https://www.youtube.com/watch?v=gzaGJAjAL4Q
Sam has worked as a political adviser and communications manager, including for former Federal Finance Minister Penny Wong, and was part of the team that won the ‘unwinnable’ 2014 South Australian state election. He is currently Director of Communications at Giving What We Can.
Effective Altruism & Christianity by Leon di StefanoAdam Ford
Link to video: https://www.youtube.com/watch?v=aJy-0rEZikA
Leon argues for similarities between Christianity and aspects of the Effective Altruism movement and contrasts utilitarianism with virtue ethics.
Bio at UniMelb: http://www.ms.unimelb.edu.au/Personnel/profile.php?PC_id=1182
The Technological Singularity - Risks & Opportunities - Monash UniversityAdam Ford
Why focus on the risks and opportunities of Strong AI? What could go wrong? I will draw on 3 main thesis from Nick Bostroms book Superintelligence and talk about possible failure modes. I will also briefly talk about what could go really well if we end up with Friendly AI.
Science v Pseudoscience: What’s the Difference? - Kevin KorbAdam Ford
Science has a certain common core, especially a reliance on empirical methods of assessing hypotheses. Pseudosciences have little in common but their negation: they are not science.
They reject meaningful empirical assessment in some way or another. Popper proposed a clear demarcation criterion for Science v Rubbish: Falsifiability. However, his criterion has not stood the test of time. There are no definitive arguments against any pseudoscience, any more than against extreme skepticism in general, but there are clear indicators of phoniness.
Post: http://www.scifuture.org/science-vs-pseudoscience
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...Adam Ford
See: http://2014.scifuture.org/abstract-life-knowledge-and-natural-selection-co-evolution-of-cognition-and-tools-leads-to-a-singularity-bill-hall/ - Studies of the nature of life, evolutionary epistemology, anthropology and history of technology leads me reluctantly to the conclusion that Moore's Law is taking us towards some kind of post-human singularity. The presentation explores fundamental aspects of life and knowledge, based on a fusion of Karl Popper's (1972) evolutionary epistemology and Maturana and Varela's (1980) autopoietic theory of life to show that knowledge and life must co-evolve, and that this co-evolution leads to exponential growth of knowledge and capabilities to control a planet (and the Universe???). The initial pace, based on changes to genetic heredity, is geologically slow. The addition of the capacity of living cognition for cultural heredity, changes the pace of significant change from millions of years, to millennia. Externalization of cultural knowledge to writing and printing increases the pace to centuries and decades. Networking virtual cultural knowledge at light speed via the internet, increases the pace to years or even months. In my lifetime I have seen the first generation digital computers evolve into the Global Brain.
As long as the requisites for live are available, competition for limiting resources inevitably leads to increasing complexity. Through most of the history of life, a species/individuals' knowledge was embodied in its dynamic structure (e.g., of the nervous system) and genetic heritage that controls the development and regulation of structure. Some vertebrates evolved sufficient neural complexity to support the development of culture and cultural heredity. A few lineages, such as corvids (crows and their relatives), and two largely arboreal primate lineages (African apes and South American capuchin monkeys) independently evolved cultures able to transmit the knowledge to make and use increasingly complex tools from one generation to the next. Hominins, a lineage of tool-using apes forced by climate change around 4-5 million years ago to learn how to survive by extractive foraging and hunting on grassy savannas developed increasingly complex and sophisticated tool-kits for hunting and gathering, such that by around 2.5 million years ago our ancestors replaced most species of what was originally a substantial ecological guild of large carnivores.
Tools extend the physical and cognitive capabilities of the tool-users. In an ecological sense, hominin groups are defined by their shared survival knowledge, and inevitably compete to control limiting resources. Competition among groups led to the slow development of increasingly better stone and organic tools, and a genetically-based cognitive capacity to make and use tools. Homo heidelbergensis, that split into African (H. sapiens), European (Neanderthals), and Asian (Denisovans) some 200,000 years ago evolved complex linguistic capabilities...
Logic and Rationality; Disagreement and Evidence - Greg RestallAdam Ford
See: http://2014.scifuture.org/?p=3030 - The resurgence of fact talk in political and public discourse — primarily seen in the rise of so-called “fact-checking” websites—is welcome phenomenon, but what does it signify, and why should we welcome it? I’ll attempt to explain how care and attention to talk of facts and reasons can play a vital role in our public discourse, even in the midst of significant differences in matters of public policy or private opinion.
The shaky foundations of science slides - James FodorAdam Ford
See: http://2014.scifuture.org/abstract-the-shaky-foundations-of-science-an-overview-of-the-big-issues-james-fodor/ - Many people think about science in a fairly simplistic way: collect evidence, formulate a theory, test the theory. By this method, it is claimed, science can achieve objective, rational knowledge about the workings of reality. In this presentation I will question the validity of this understanding of science. I will consider some of the key controversies in philosophy of science, including the problem of induction, the theory-ladenness of observation, the nature of scientific explanation, theory choice, and scientific realism, giving an overview of some of the main questions and arguments from major thinkers like Popper, Quine, Kuhn, Hempel, and Feyerabend. I will argue that philosophy of science paints a much richer and messier picture of the relationship between science and truth than many people commonly imagine, and that a familiarity with the key issues in the philosophy of science is vital for a proper understanding of the power and limits of scientific thinking.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Preliminary findings _OECD field visits to ten regions in the TSI EU mining r...OECDregions
Preliminary findings from OECD field visits for the project: Enhancing EU Mining Regional Ecosystems to Support the Green Transition and Secure Mineral Raw Materials Supply.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHOChristina Parmionova
The 2024 World Health Statistics edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy life expectancy.
About Potato, The scientific name of the plant is Solanum tuberosum (L).Christina Parmionova
The potato is a starchy root vegetable native to the Americas that is consumed as a staple food in many parts of the world. Potatoes are tubers of the plant Solanum tuberosum, a perennial in the nightshade family Solanaceae. Wild potato species can be found from the southern United States to southern Chile
Synopsis (short abstract) In December 2023, the UN General Assembly proclaimed 30 May as the International Day of Potato.
Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
2. • “Epistemic rationality”: the skill of forming accurate beliefs
• “Instrumental rationality”: the skill of advancing your goals
given your resources
3.
4. 3 components of rationality central to EA:
1. Seeking the truth
2. Questioning our intuitions
3. Being ‘effective’
5. 1. Seeking the truth
“Truth – more precisely, an accurate understanding of reality – is
the essential foundation of good outcomes” – Ray Dalio, founder
of Bridgewater, the largest hedge fund in the world
13. 3. Being “effective”
• Being strategic in the pursuit of goals, the ability to
stay on track
• Default is just responding to environmental pressures
14. 1. What are you trying to achieve?
2. What does progress actually look like? How can you
tell when you’ve met your goal?
3. Might there be a better path to your goal than your
current one?
4. How might your current plan fail? How can you
make it stronger?
5. Can you use environmental and social contexts to
bolster your motivation?
6. How will your future self feel about this?
17. Summary
• The ways we’ve evolved to think and behave aren’t
necessarily those that are best for improving the world
• What distinguishes EAs from other altruistic people is
largely a matter of recognizing this fact, and recognizing
that we can do better
• How?
– Resisting the urge to settle on specific cause areas, being willing
to switch paths
– Not taking our intuitive judgements at face value, but
recognising when they are useful
– Being strategic in the pursuit of our goals rather than simply
responding to immediate pressures
Editor's Notes
Hi everyone, I’m Jess – it’s really good to be here!
My aim with this talk is to give you an overview of what rationality is and why it’s really important for us as people who want to do as much good in the world as possible.
I don’t want to spend too much time on technical definitions, as I don’t think that’s super interesting. But I also know that different people use the term “rationality” to mean very different things, so it seems important to clarify what we’re talking about here.
By “rationality”, I actually mean two distinct, but very closely related skillsets:
first, the ability to form accurate beliefs about the world – “epistemic rationality”
Second, the ability to effectively move towards your goals given your resources – “instrumental rationality”
One common misconception about rationality is to associate it with this guy – Spock from Star Trek – the idea being that being rational is mostly about not having emotions. I want to emphasise strongly that this is not what I mean by rationality – often our emotions can actually help us to arrive at accurate beliefs about the world and achieve our goals. And if we didn’t have any emotions, we’d probably find it impossible to make any decision.
So that’s what I mean by rationality – forming accurate beliefs and finding the best ways to achieve our goals. From now on I’m going to leave these technical definitions behind and talk about some more familiar concepts.
I’m going to discuss three ideas that are central to what it means to be “rational” that I also think are really key to what it means to be an effective altruist. I’ll discuss each of these more in turn – seeking the truth, balancing intuition and reason, and being ‘effective.’
First: being truth seeking. By this I mean genuinely aiming to form accurate beliefs about the world, rather than just believing whatever is most convenient or desirable for us.
If we want to identify where the biggest problems are, and come up with solutions to those problems that are likely to work, we first need to have a clear idea of the way things currently are. We won’t do much good if we’re mistaken about what the problems in the world are, or don’t understand the kinds of solutions those problems need.
To see how not having an accurate understanding of reality can hinder our attempts to do good, consider the story of Playpumps.
The idea was to replace traditional hand water pumps in poor villages with a pump that doubled as a playground merry-go-round. It seemed like a great idea: women would no longer have to walk miles to pump water, and children had a new way to play. Playpumps were installed across Africa, the idea got increasing amount of positive media attention, and even won a World Bank Development Marketplace Award in 2000.
The problem? In order to pump water, the playpumps needed constant force – much more than was provided by kids playing on and off throughout the day. So children ended up sometimes being paid to “play” on the pumps – often ending up injured from falling off or sick from dizziness – or the women of the village had to do it themselves, which they found tiring and undignified. When the local communities were actually asked later on how they felt about the new pumps, many said they preferred the old hand pumps.
Playpumps sounded like a great idea, but it failed because those behind it didn’t actually understand the realities of these villages, and how the playpumps would work in their lives, anywhere near enough.
If we want to be truth seeking in our altruism, we need to start by being honest with ourselves about why we believe the things we do.
Are you working on the cause or project you’re working on because you genuinely believe it’s the best way to improve the world, or because it makes you feel warm and fuzzy inside? I’m sure that the people who designed playpumps genuinely had really good intentions – they really wanted to improve these people’s lives. But I’d guess that part of the reason they got so excited about playpumps was also that it just sounded cool and exciting, and was the kind of idea they knew could get a lot of attention – which isn’t necessarily the same thing as an idea that will actually work. Distributing malaria nets to those at risk of malaria, say, isn’t anywhere near as cool-sounding, but there’s a lot more evidence that it actually works.
We also need to cultivate an attitude of open-mindedness: seriously considering the possibility that even our most deeply held beliefs might be wrong, being open to considering alternatives, and willing to change our minds and our plans when new information comes along.
When the evidence started to roll in that playpumps weren’t as effective as they originally thought, the company initially acknowledged their failure. But somehow despite this, Playpumps live on – now known as “roundabout water solutions”, continuing to install the same model of playpumps across South Africa. It’s possible they found a way to make them work much better, but it also seems likely that they stuck with it simply because admitting your failure, giving up on something, and starting all over again, is incredibly difficult. But it’s really important that we’re able to do this if we want to have a large impact on the world – the chances that the first thing we decide to work on is the best thing for us to be doing is just so small.
The second part of rationality that I think is key to EA is learning to appropriately balance intuition and reason in our decision-making.
A key distinction that has come out of psychology research in recent decades is between “system 1” and “system 2” types of reasoning – which has been popularised by Daniel Kahneman in the book TFS (if you haven’t read it, I recommend it!)
“System 1” thinking is fast, intuitive, and automatic – it occurs without conscious control, and takes relatively little effort for our brains. For example, your vague sense of whether the person you just met was interested in what you were saying is a system 1 judgement.
“System 2” thinking is slower, more deliberate, and much more effort for our brains – we have to exert conscious effort. When you do a mental calculation, or are trying to figure out the best way to explain rationality to an audience in 20 minutes, you’re using system 2 thinking.
In many ways, EA has been characterized by extreme scepticism and rejection of system 1 reasoning when it comes to doing good in the world.
And there are good reasons for this. A lot of system 1 reasoning is the result of evolved mechanisms: our brains have evolved to do the kinds of fast, intuitive, processing that helped our ancestors reproductive fitness. But this means that our moral intuitions are often ill-served to the environment we live in today, and don’t necessarily track what’s most effective at doing good.
A key example of this is how we find it easier to be intuitively motivated to help when we can see our efforts benefitting a single, identifiable victim. Studies have found repeatedly that people will donate more to a cause when they’re shown a picture of a specific individual they’ll be helping than when they’re given statistics about the number of people they could be helping – even when the total amount of good they’re doing in the latter case is clearly much, much more.
So there’s good reason to distrust a lot of our intuitions about doing good.
But we shouldn’t always distrust our intuitions. There are some areas where our intuitions are likely to be more useful, or where it’s more important we pay attention to them in decisions we’re making.
I think choosing a career is one such domain. To be clear, I’m not saying that we should just trust our intuitions when choosing a career. But I also think it’s important we don’t ignore them – more so than when, say, trying to evaluate the effectiveness of a charity donation.
This is partly because it’s important that our system 1 is on board with whatever career we choose – if it’s not, we’re unlikely to be motivated, and so will struggle to make much difference even in a potentially high-impact path. By contrast, the effectiveness of our donations isn’t affected by whether our system 1 believes they’re effective or not.
System 1 is most likely to be reliable when we’ve had a lot of experience with good feedback. So our intuitions about whether we’ll work well with someone are probably worth listening to if we’ve worked with a lot of people in the past. But our intuitions about what kind of work we’ll enjoy might be more suspect if we’ve never had a proper job in our lives.
What to do when system 1 and system 2 conflict? I struggled with this for a while when deciding whether to do a PhD or not (and then whether to quit a PhD or not) – my system 2 could come up with convincing arguments for doing the PhD, but my system 1 wasn’t quite on board.
Intuition and reason often framed as opponents – but instead, we should think of them as collaborators. They’re both giving us different kinds of information, which we can use together to make better decisions. Doing this well is a difficult skill – I definitely haven’t mastered it yet.
e.g. suppose – purely hypothetically – you’re trying to decide whether to quit your PhD or not.
You might start with an intuition about what you should do
Then use your s2 to lay out explicit arguments for and against that intuition
Then look at each step of your argument and use your s1 to answer questions like : “what would the world look like if this were true?”, “how surprised would I be if this were false?”
And then use this to refine your explicit arguments
Repeat
The general idea is that our intuitions aren’t to be blindly trusted, but they’re not to be ignored either. They’re giving us some information – we need to figure out what and whether that information is relevant to our decisions.
There’s this nice example I’m stealing from Anna Salamon of someone who wanted to become a world-class comedian, and his plan for doing so was to sit and watch hours of Garfield cartoons.
The point here is that we’re not always that great at coming up with the best plans for achieving our goals, the plans that are most likely to get us there – so even if we have great plans about how to improve the world, we might end up doing little good. It’s easy to end up just reacting to whatever is most pressing or interesting around us right now.
So far we’ve been talking mostly about how to figure out the best ways to improve the world, how to come up with good plans.
But it’s also crucial – perhaps more crucial – that for any well-chosen project, we’re able to execute on our plans effectively – to stay on track and actually get the work done.
What kinds of things do we need to be able to do to effectively achieve our goals?
I think that prioritising and developing these key rationality skills is actually a really central part of what distinguishes someone we’d call an effective altruist from someone who doesn’t, even if they’re otherwise very altruistic.
Being cause-neutral, and open to changing plans.
Questioning our intuitions about doing good, rather than just going with the thing that sounds like it might help.
Thinking really explicitly and strategically about our plans for making a difference, and guarding against failure.
I want to emphasise the extent to which being rational in the ways I’ve been talking about is actually really challenging.
I think it’s important to be really aware of this, because it means we’ll be less harsh on ourselves and others when we inevitably sometimes fail to live up to these standards.
We’re human, and our human brains aren’t designed to be able to answer complex questions about how to most effectively improve the world. We’ve evolved to think and behave in ways that are best for propagating our genes. There’s clearly a misalignment between this and the ways of thinking and behaving that are best for us as individuals – if all you cared about was propagating your genes, the men in this audience should really be spending most of their time at the sperm bank.
We have a lot of psychological mechanisms that actively push against being rational – which actively hinder our attempts to figure out the truth, or to achieve our goals.
We have a strong drive to make sense of the world, to avoid uncertainty.
We prefer to believe desirable things than things that make us feel bad.
These two things together make it really hard to be genuinely truth-seeking: challenging our beliefs is unpleasant both because it creates uncertainty, and because it can sometimes force us to accept unpleasant conclusions.
We’re also cognitive misers – our brains want to avoid effortful processing whenever possible So challenging and dialoguing with our intutions, and thinking strategically about our goals and plans are effortful things we’re not naturally inclined to do.
Just because it’s challenging, tough, doesn’t mean we can’t make progress – I think the existence of the EA community is itself already evidence that we can.