15 ms·
Possibly a Serious Possibility
- mempko 1y agoIt's strange to map language to probability ranges. The guidance should be to just say the probability range. No ambiguity. Clear. Actionable and also measurable.
- Muromec 1y agoThat's the other way around -- there was no probability range to begin with.
- throwaway81523 1y agoIt's still a subjective estimate, but Samosvety (predictor group) does seem to work that way, and HPMOR suggested something similar. Basically assign probabiltiies to less complex unknowns using numbers pulled out of your butt if that's all you can do. Then you can compute conditional probabilities of various more complicated events using those priors. At least then, a consistent set of numbers has carried through the calculation, even if those numbers were wrong at the outset. It's suppose to help your mental clarity. I guess you can also perturb the initial numbers to guess something like a hyperdistribution at the other end. I haven't tried this myself and haven't run across a situation to apply it to lately, but I thought it was interesting.
- andrewflnr 1y ago> a consistent set of numbers has carried through the calculation, even if those numbers were wrong at the outset I kind of see how this might be useful, but what I've actually seen is an illusion of certainty from looking at numbers and thinking that means you're being quantitative instead of, you know, pulling things out of your butt. Garbage in, garbage out still applies.
- throwaway81523 1y agoYes, the potential illusion is most dangerous if you show someone else the numbers and they take them seriously. If they're only for your own calculations then you can remember what they are made of.
- plorkyeran 1y agoIn practice people seem to be very bad at remembering that. Pretty universally people act as though doing math on made up numbers makes them less erroneous rather than more.
- widforss 1y agoThat's the whole point of Fermi estimates. Find a plausible number given uncertain inputs.
- chrisweekly 1y agoYeah, mistaking precision for accuracy is a common fallacy.
- JadeNB 1y ago> Yeah, mistaking precision for accuracy is a common fallacy. I remember an appealing description of the difference being that a precise archer might sink all their arrows at the same spot on the edge of the target, whereas an accurate archer might sink all their arrows near the bull's eye without always hitting the same spot.
- mempko 1y agoYes, despite pulling the numbers out of your butt, having them and then seeing how accurate you are helps you calibrate your butt. That way over time, the numbers you pull out of your but become more accurate (and even possibly more precise)
- Jach 1y agoIf you don't perturb the initial numbers to see what changes to help construct a richer model (as well as one with tighter bounds on what it predicts or forbids), you're leaving out a lot of the benefits of the exercise. Sometimes the prior doesn't matter that much because you find you already have or can easily collect sufficient data to overcome various arbitrary priors. Sometimes different priors will result in surprisingly different conclusions, some of them you can even be more confident in ruling out because of absence of data in their predictions. (Mathematically, absence of evidence is evidence of absence, though of course it's just an inequality so the proof says nothing on whether it's weak or strong evidence.) And of course some priors are straight from the butt but others are more reasonably estimated even if still quite uncertain; in any case much like unit testing of boundary conditions you can still work through a handful of choices to see the effects. Someone mentioned fermi calculations, a related fun exercise in this sort of logic is the work on grabby aliens: https://grabbyaliens.com/ https://grabbyaliens.com/
- csours 1y agoOr use a histogram.
- layer8 1y agoHow would you possibly measure the “Probability of an Invasion of Yugoslavia in 1951”, in March 1951?
- konstantinua00 1y ago9/12 3 months have passed, 9 to go :)
- hlieberman 1y agoIt’s not just the UK who has standardized on these language; the U.S. intelligence community also has a list of required terminology to use for different confidence levels and different likelihoods — and distinguishing between them. It’s all laid out in ICD-203, publicly available at https://www.dni.gov/files/documents/ICD/ICD-203.pdf https://www.dni.gov/files/documents/ICD/ICD-203.pdf I’ve found it very helpful in the same vein as RFC 2119 terminology (MUST, SHOULD, MAY, etc.); when you need your meanings to be understood by a counterparty and can agree on a common language to use.
- bo1024 1y agoInteresting. This terminology really makes no sense without more shared context, in my view. For example, I would not describe something that happens to me every month as a "remote possibility". Yet for a 3% chance event, repeated every day, monthly occurrences are what we expect. Similarly, someone who describes events as "nearly certain" would surely be embarrassed when one of the first 20 fails to happen, no?
- randallsquared 1y agoA 1-in-a-million chance seems quite remote, yet if you are rolling the dice once a millisecond... This applies to any repeated chance, so it probably doesn't need to be called out again when translating odds to verbal language.
- bo1024 1y agoI'm not only talking about repeated events, though. If someone told me about 20 different events that they were almost certain, and one failed to happen, I would doubt their calibration.
- Nevermark 1y ago19 out of 20 could easily mean they get 119 right out of every 120 “almost certainties” and they just rolled a 1 on a die 6 for the “luck” component. One off, 1 out of N errors are really hard to interpret, even with clear objective standards. And emphasizes why mapping regular language to objective meanings is a necessity for anything serious, but can still lead to problematic interactions. Probability assessments are will almost always sometimes certainly could be considered likely hard!
- photochemsyn 1y agoThis problem crops up everywhere, especially when it's a consequential claim. Eg when the US Department of Energy says with 'low confidence' that the Sars-COV2 outbreak and pandemic was 'most likely' was the result of a laboratory leak, what number does that translate to on the certainty scale? Also, what likelihood can we assign to claims that the virus was deliberately modified at the furin cleavage site as part of a gain-of-function research program aimed at assessing the risks of species-jumping behavior in bat coronaviruses? This is a separate question from the lab escape issue, which dould have involved either a collected wild-type virus or one that had been experimentally modified. Perhaps experts in the field 'misinterpreted the evidence' back in the early months of the pandemic, much as happened with the CIA and its 'intelligence on Iraq'? https://interestingengineering.com/health/us-doe-says-covid-19-result-of-lab-leak https://interestingengineering.com/health/us-doe-says-covid-...
- nightpool 1y agoI highly recommend that you read through https://www.astralcodexten.com/p/practically-a-book-review-rootclaim https://www.astralcodexten.com/p/practically-a-book-review-r... and watch the underlying debate (starting here https://www.youtube.com/watch?v=Y1vaooTKHCM https://www.youtube.com/watch?v=Y1vaooTKHCM), it does a really good job of laying out the arguments for and against lab leak in a very thorough and evidence-based way like you're asking for here.
- photochemsyn 1y ago"Viral" by Alina Chan and Matt Ridley is worth reading. But I don't think there's much doubt now that Sars-CoV2 was the result of reckless gain-of-function research conducted jointly between China's Wuhan Institute of Virology, America's Baric Lab in North Carolina, and facilitated by funding through EcoHealth Alliance, the NIH and the NIAID. Whoopsie.
- nightpool 1y agoThere's a lot of doubt, actually. Peter responds to this possibility in a lot of detail in the debate I linked: Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. .... COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site).
- dejobaan 1y agoThat was a good read (and short, with a cool graph—I want to know who tagged "Almost No Chance" as 95% likely; a would-be Pratchett fan, perhaps). In biz, that's part of why I like to separate out goals ("we'll focus on growing traffic") and concrete objectives ("25% audience growth between now and June 1st").
- patrickmay 1y agoBut is it EXACTLY a million to one chance?
- forrestthewoods 1y agoI hate “one in a million” because its meaning depends on how many times you’re rolling the die! I’ll never forgot old World of Warcraft discussions about crit probability. If a particular sequence is “one in a million” and there are 10 million players and each player encounters hundreds or thousands of sequences per day then “one in a million” is pretty effing common!
- gpcz 1y agoIn functional safety, probabilities are usually clamped to an hour of use.
- JadeNB 1y ago> I hate “one in a million” because its meaning depends on how many times you’re rolling the die! I'd argue that it doesn't depend on that at all. That is, its meaning is the same whether you're performing the trial once, a million times, ten million times, or whatever. It's rather whether the implication is "the possibility may be disregarded" or "this should be expected to happen occasionally" that depends on how many times you're performing the trial.
- forrestthewoods 1y agoI accept your terminology as more precise.
- chaps 1y agoThe City of Chicago's lawyers went the opposite direction in response to @tpacek's affidavit that the release of table/column names would have "marginal value" to an attacker. The city latched onto that to get a trial that eventually went to the IL Supreme Court and lost. [I]n my affidavit, I wrote that SQL schemas would provide “only marginal value” to an attacker. Big mistake. Chicago jumped on those words and said “see, you yourself agree that a schema is of some value to an attacker.” Of course, I don’t really believe that; “only marginal value” is just self-important message-board hedging. I also claimed on the stand that “only an incompetently built application” could be attacked with nothing but it’s schema. Even I don’t know what I meant by that. His post: https://sockpuppet.org/blog/2025/02/09/fixing-illinois-foia/ https://sockpuppet.org/blog/2025/02/09/fixing-illinois-foia/ My post: https://mchap.io/losing-a-5yr-long-illinois-foia-lawsuit-for-database-schemas.html https://mchap.io/losing-a-5yr-long-illinois-foia-lawsuit-for...
- snitty 1y ago>The City of Chicago's lawyers went the opposite direction Not really. >I wrote that SQL schemas would provide “only marginal value” to an attacker. Big mistake. Chicago jumped on those words and said “see, you yourself agree that a schema is of some value to an attacker.” The City of Chicago's argument was that something of ANY value, no matter how insignificant, would help an attacker exploit their system, and was therefore possible to keep secret under the FOIA law.
- fc417fc802 1y agoSuch a literal interpretation isn't reasonable. There are all sorts of patterns that can be indirectly leaked through supposedly unrelated data. Yet FOIA exists and is obviously intended to be useful. So obviously there must be some threshold for the value to an attacker. He attempted to communicate that schemas are clearly below such a threshold and they used his wording to attempt to argue the opposite.
- mcphage 1y ago> The City of Chicago's argument was that something of ANY value, no matter how insignificant, would help an attacker exploit their system, and was therefore possible to keep secret under the FOIA law. I’m glad that argument lost, since it totally subverts the purpose and intention of the FOIA. Any piece of information could be of value to some attacker, but that doesn’t outweigh the need for transparency.
- jMyles 1y ago> Since then, some governments have tried to clean up the language of probability. After the Iraq War—which was influenced by misinterpreted intelligence While I laud the gracious application of Hanlon's Razor here, I also think that, for at least some actors, the imprecision was the feature they needed, rather than the bug they mistakenly implemented.
- christiangenco 1y agoI've had the same sort of difficulty with phrases like "most" or "almost all" or "hardly any"—I crave for these to map to unambiguous numbers like the probability yardstick referenced in this article. I spun up a quick survey[1] that I sent out to friends and family to try to get some numbers on these sorts of phrases. Results so far are inconclusive. 1. https://www.vaguequantifiers.com/ https://www.vaguequantifiers.com/
- jbaber 1y ago"Almost all" in math can mean "except at every integer or fraction" :)
- layer8 1y agoThe semantics are almost always reasonable: https://en.wikipedia.org/wiki/Almost_all https://en.wikipedia.org/wiki/Almost_all
- tejtm 1y agoI would expect almost NO numbers are rational (integer or fraction) with an infinite number of Reals between each.
- JadeNB 1y ago> I would expect almost NO numbers are rational (integer or fraction) with an infinite number of Reals between each. You're right (technically correct, which is the best etc.)! That is why "almost all" can mean everything except rational numbers.
- noqc 1y agoin between any two real numbers, there is a rational number, and vice versa.
- concordDance 1y agoAnd yet somehow there are infinity times more reals than rationals... Very hard to get your head around!
- SoftTalker 1y agoI have a habit of saying "almost definitely" which I have tried to break but I still fall back to it occasionally. And I know several people who will say something is "definitely possible" or "certainly a possibility" or something along those lines. It's all insecure language we use to avoid making a statement that might turn out to be wrong.
- rekenaut 1y agoI often say "definitely possible" when I am not sure what the chance of something happening is but I ought to acknowledge that it is possible. It is definitely possible that I should choose better language to communicate this.
- smitty1e 1y agoWhen they won't quit asking, I'm "willing to commit to a definite maybe".
- hunter2_ 1y ago"Rare" versus "common" is an interesting one. They sound like antonyms, but I don't think the typical probabilities are really symmetrical. Maybe something like 0%-10% for rare (although some sources say 5%) and something like 40%-100% for common.
- Macha 1y agoMaybe it's my amount of video games played in childhood that influenced that, but common and rare are just two points on a spectrum (with at least "uncommon" in between)
- konstantinua00 1y ago"common" has such a large spread because meaning behind it is sort of "at least one in each sample", where that sample can be anything (graspable) if you're a teacher and one student per class does the same thing - it's common. Even though it's only 1/25 or 1/30 of all students
- BobaFloutist 1y agoI think I mentally interpret "common" as "a member of a plurality category," which is to say in the same order of magnitude of commonality as the most common group at a given level of detail. What you're describing, I think I would call "Not uncommon." Or, to put it another way, you shouldn't be surprised for any given case to exhibit it, but you shouldn't expect it either.
- senderista 1y agoI was so frustrated when I tried to get doctors to quantify their assessment of risk for a surgery my sister was about to undergo. They simply wouldn't give me a number, not even "better or worse than even odds". Finally an anesthesiologist privately told me she thought my sister had maybe a one-third chance of dying on the table and that was enough for me. I'm not sure how much fear of liability had to do with this reluctance, or if it was just a general aversion to discussing risk in quantitative terms (which isn't that hard, gamblers do it all the time!).
- chychiu 1y agoDoctor here 1. It’s generally difficult to quantify such risks in any meaningful manner 2. Provision of any number adds liability, and puts you in a damned-if-does, damned-if-it-doesn’t-work-out situation 3. The operating surgeon is not the best to quantify these risks - the surgeon owns the operation, and the anaesthesiologist owns the patient / theatre 4. Gamblers quantify risk because they make money from accurate assessment of risk. Doctors are in no way incentivised to do so 5. The returned chance of 1/3 probably had an error margin of +/-33% itself
- fc417fc802 1y ago> It’s generally difficult to quantify such risks in any meaningful manner According to the literature 33 out of 100 patients who underwent this operation in the US within the past 10 years died. 90% of those had complicating factors. You [ do / do not ] have such a factor. Who knows if any given layman will appreciate the particular quantification you provide but I'm fairly certain that data exists for the vast majority of serious procedures at this point. I've actually had this exact issue with the veterinarian. I've worked in biomed. I pulled the literature for the condition. I had lots of different numbers but I knew that I didn't have the full picture. I'm trying to quantify the possible outcomes between different options being presented to me. When I asked the specialist, who handles multiple such cases every day, I got back (approximately) "oh I couldn't say" and "it varies". The latter is obviously true but the entire attitude is just uncooperative bullshit. > puts you in a damned-if-does, damned-if-it-doesn’t-work-out situation Not really. Don't get me wrong, I understand that a litigious person could use just about anything to go after you and so I appreciate that it might be sensible to simply refuse to answer. But from an academic standpoint the future outcome of a single sample does not change the rigor of your risk assessment. > Doctors are in no way incentivised to do so Don't they use quantifications of risk to determine treatment plans to at least some extent? What's the alternative? Blindly following a flowchart? (Honest question.) > The returned chance of 1/3 probably had an error margin of +/-33% itself What do you mean by this? Surely there's some error margin on the assessment itself but I don't see how any of us commenting could have any idea what it might have been.
- a3w 1y agoHow was this not on lesswrong.com, they are all about ]0..1[
- deleted 1y ago[deleted]
- Macha 1y agoWho are the people that have a small bump of believing "better than even" is 10-20%? Why?
- tempestn 1y agoYou also see the opposite bump for most of the negative assessments. My assumption is that they're likely reading the question backwards. ie. "how unlikely" vs "how likely" or similar.
- vpribish 1y agomaybe something like dyslexia but for semantics. I did some searching and couldn't find a term for this.
- didgetmaster 1y ago"The odds are more like a million to one!" "So...you're telling me there is a chance!"
- bmurray7jhu 1y agoText of NIE 29-51 "Probability of an Invasion of Yugoslavia in 1951" Partial HTML: https://history.state.gov/historicaldocuments/frus1951v04p2/d411 https://history.state.gov/historicaldocuments/frus1951v04p2/... Full text PDF scan: https://www.cia.gov/readingroom/docs/CIA-RDP79R01012A000700040048-7.pdf https://www.cia.gov/readingroom/docs/CIA-RDP79R01012A0007000...
- tempestn 1y agoInteresting. Two things that jumped out to me were 1) why do the regions of the standardization line not overlap or at least meet? And 2) What's up with the small but clear minority of people who took all the 'unlikely' phrasings to mean somewhere in the realm of 90 to 100%? My guess would be they're misreading the question and that is their estimate of unlikelihood?
- pictureofabear 1y agoBecause many people cannot or will not accept ambiguity. Charitably, I suppose this comes from a desire to logically deduce risk by multiply the severity of the consequences by the chance that something will happen. Uncharitably, it gives decisionmakers a scapegoat should they need one.
- chipsrafferty 1y agoWhy not just actually list the number you have in mind so everyone's on the same page "we consider it a serious possibility - about 60% - that bla bla bla"
- andrewflnr 1y agoAlmost no one making these statements has an actual number in mind, or they would just say it. Probably not even in intelligence, definitely not in popular usage.
- kmoser 1y agoBut if there's a standardized chart that maps the phrase to a number, certainly you'd expect whoever is writing the phrase to know what number it maps to. For the sake of simplicity, then, why not just use the number to avoid all doubt?
- andrewflnr 1y agoThe biggest reason is probably just that your boss told you to. But also downthread we were talking about the illusion of quantitative thought that comes from using specific numbers, which would be a slightly better reason to use words instead.
- qmr 1y agoI don't think there is a standardized chart. Rather the chart shows people's subjective mental mapping of the description to a probability.
- andrewflnr 1y agoThe chart at the bottom of the article is explicitly a standard adopted by UK intelligence. (ed: well, proposed for adoption, it's not clear from the article how far it actually got.)
- dragonwriter 1y ago
- nickm12 1y agoAnyone else find the standard "probability yardstick" very misleading on the "unlikely" side? I know the whole point of the article is that English speakers can interpret these phrases differently, but calling a 1-in-3 chance "unlikely" seems off. I would shift that whole side down—30% as "a possibility", 10% as "unlikely", 5% as "highly unlikely".
- irjustin 1y agoYou're right, whatever they pick will be wrong, but that's "missing the forest for the tree" The goal is to remove uncertainty in the language when documenting/discussing situations for the state. It doesn't matter that it's wrong colloquially or "feels wrong". It's that when you're reading or talking about a subject with the government, you need to use a specific definition (and thusly change your mental model because everyone is doing as such) so that no one gets misunderstood. Would it be better to always use raw numbers? Honestly I don't know.
- rendaw 1y agoOr new words unrelated to vernacular? Like "This is a cat-3 risk". When repurposing words in common usage they're always going to be fighting against intuition and triggering confusion because of it.
- fc417fc802 1y agoI was thinking this while reading it as well. Why go to all this trouble when we know in advance there will still be issues? Standardize on not using casual wording for quantified risks and instead provide the actual numbers. Something like "40 (out of 100) error 10 (plus or minus)". No more ambiguity. My offhand example even abbreviates nicely as scientific notation ie 40e10. I'm sure someone who actually spent some time on this could come up with something better.
- Zanni 1y agoI don't understand the point of standardizing language around specific numerical ranges when they could just use numbers.
- inejge 1y agoThey would have to use ranges, though, and I think that the non-numeric phrases flow better, which should aid comprehension.
- voidmain 1y agoThe bonkers thing is that all of the visualizations show basically all of the terms pretty close to the middle on a log odds scale. If "highly unlikely" means 10-20%, how do you express 1 in 10,000??
- immibis 1y agoGotta love how "almost no chance" includes probabilities less than zero.
- ta20240528 1y agoThe actual problem is its not possible to assign a percentage probability - or even a vague 'highly likely'- to a once-off event. As long as the prediction is not 0% or 100%, its impossible to be wrong. So, without hesitation, I predict with 99,999999% certainty that an asteroid will hit the Eiffel tower before the hour.
- mrkramer 1y agoYugoslav communists were pawns of Moscow from the beginning and all the way until the end of WW2. After WW2, they grew some balls and put the interests of degenerate Yugoslavian state before the interests of the communist international, that's what almost cost them their state. And also they were traitors of their peoples because during WW2 they didn't support national movements but wanted cosmopolitan socialistic Yugoslavia with the help of Soviet Union.