I am a generalist quantitative researcher. I am open to volunteering and paid work. I welcome suggestions for posts. You can give me feedback here (anonymously or not).
I am open to volunteering and paid work (I usually ask for 20 $/h). I welcome suggestions for posts. You can give me feedback here (anonymously or not).
I can help with career advice, prioritisation, and quantitative analyses.
Hi Matthew.
Our actions have lots of unpredictable effects. If you drive to the store, you will delay everyone behind you in traffic. This will change when they next have sex, thus completely changing the identity of their future child. A different sperm and egg will fuse. This new child will go on to take a staggeringly large number of actions, each of which will change the identity of still more people. For this reason, because of your decision to drive to the store, the world hundreds of years down the line will be completely different.
I agree small actions like driving to the store may have large actual consequences. However, I believe their expected consequences are very small. I think the probability of any given child being born will be practically the same regardless of whether one drives to the store or not. One could tell a story where driving to the store leads to A being born instead of B. However, one could tell a story practically as convincing where driving to the store leads to B being born instead of A. So one should practically stick to the prior that driving to the store does change the probability of A or B being born. Likewise, driving to the store could cause a given hurricane H, but is almost as likely to prevent it. So the probability of hurricane H is practically the same regardless of whether one drives to the store or not.
@Derek Shiller, I would be curious to know your thoughts on the above.
I agree, assuming they are conscious.
You may be interested in these posts:
This suggests that neuron count alone is too crude a metric (though perhaps useful when comparing organisms with very different brains).
I like to compare the sentience-adjusted welfare ranges (probability of sentience times the welfare range conditional on sentience) of organisms with neurons assuming they are proportional to "individual number of neurons"^"exponent". I consider exponents from 0 to 2 reasonable best guesses. An exponent of 0.188 explains very well the sentience-adjusted welfare ranges presented in Bob's book (which rely on much more than the individual number of neurons). Below is a graph illustrating this.
For comparisons involving organisms with and without neurons, I would assume sentience-adjusted welfare ranges proportional to "individual mass"^"exponent", or "metabolic rate"^"exponent". I do not think the specific proxy matters that much. In allometry, "the study of the relationship of body size to shape,[1] anatomy, physiology and behaviour", "The relationship between the two measured quantities is often expressed as a power law equation (allometric equation)". If the sentience-adjusted welfare range is proportional to "proxy 1"^"exponent 1", and "proxy 1" is proportional to "proxy 2"^"exponent 2", the sentience-adjusted welfare range is proportional to "proxy 1"^("exponent 1"*"exponent 2"). So the results for "proxy 1" and exponent "exponent 1"*"exponent 2" are the same as those for "proxy 2" and "exponent 2".
Hi David. I think there are at least 2 Asimov's corollaries. Peter's Asimov's corollary is Asimov's corollary to Parkinson's law. The post you linked to presents Asimov's corollary to Clarke's 1st law. I also liked this corollary.
When, however, the lay public rallies around an idea that is denounced by elderly but distinguished scientists and supports that idea with great fervor and emotionâthe distinguished but elderly scientists are then, after all, probably right.
Hi Riccardo.
The idea that experiential intensity simply scales down with the number of neurons seems hard to accept: it implies that simpler organisms live something like a barely-there flicker of experience, which also places us humans at the apex of perceived intensity in the universe.
Very simple organisms could still matter a lot despite having much less intense experiences. I estimate farmed animals and soil invertebrates have 1.87 and 253 times as many neurons as humans. The graph below has more detail. Nematodes are the animals with the least neurons, with an adult caenorhabditis elegans having 302 neurons, but I estimate soil nematodes have 169 times as many neurons in total as humans.
humans at the apex of perceived intensity in the universe
There are animals with more neurons than humans. Short-finned pilot whales and african elephants have 128 billion and 257 billion neurons, 1.49 (= 128/86) and 2.99 (= 257/86) times as many as humans.
I also think there's a distinction worth drawing between the "dimensionality" of an experience (how many qualitative states a mind can occupy) and its intensity. A simple mind might have very few "keys," but still hit each of them hard.
I agree.
Hi Aaron. I liked this post.
Math
Some days, I don't have any particular motivation. That's when I turn to expected utility.
Very funny.
Hi Charles.
But even Farmkindâs more generous number is still disappointingly low. To many EAs I have spoken to, it seems to imply that going vegan is only âworthâ a paltry $276âor alternatively, that donating at least $276 to pro-animal charities âbuysâ them the freedom from being vegan.
I estimate based on results from Animal Charity Evaluators (ACE) that donating 2.34 $/person-year (= 138/59.0) to The Humane League (THL) offsets the effects on farmed animals of (random) people in the United States (US), 0.848 % (= 2.34/276) of FarmKind's estimate.
Hi Dawn. Thanks for looking into soil invertebrates.
I recommend research on the welfare of soil invertebrates, and welfare comparisons across species. I do not recommend pursuing whatever land use changes seem to increase the welfare of soil invertebrates the most cost-effectively.
This does not describe my views well. I can see effects on soil invertebrates being anything from negligible to all that matters in terms of changes in welfare. I would not be surprised if a random person experienced more pain over 1 year than all soil invertebrates on Earth over 1 year.
Here are some numbers illustrating my uncertainty. For individual welfare per fully-healthy-animal-year proportional to "individual number of neurons"^"exponent", and "exponent" from 0 to 2, which covers the best guesses that I consider reasonable, I estimate that GiveWell's top charities change the welfare of soil ants, termites, springtails, mites, and nematodes 1.08*10^-5 to 10.9 billion times as much as they increase the welfare of humans. For my preferred exponent of 1, the change in the welfare on those soil invertebrates is 41.5 times as large as the increase in the welfare of humans (much less than the ratio of 90 k you mention in the quote above).
In addition, I have no idea about whether interventions targeting invertebrates increase the welfare of their target beneficiaries more or less cost-effectively than ones targeting humans. For individual welfare per fully-healthy-animal-year proportional to "individual number of neurons"^"exponent", and "exponent" from 0 to 2, I estimate that the Shrimp Welfare Project's (SWP's) Humane Slaughter Initiative (HSI) has increased the welfare of shrimps 1.68*10^-6 to 1.68 M times as cost-effectively as GiveWell's top charities increase the welfare of humans.
To clarify, RP did not get welfare ranges for nematodes, and Gemini's guess that a modal soil nematode has 240 neurons has a negligible impact on my estimate for the expected welfare range of nematodes. Adult caenorhabditis elegans have 302 neurons, and the modal soil nematode has fewer neurons than this. I do not know what is the exact number of neurons of random soil nematodes. However, the conclusions I would take from the calculations would be the same regardless of whether I used 302 or 30 neurons. So I just went with a guess from Gemini.