Archer

Karma: 5

Archer 18 Nov 2020 13:40 UTC
3 points
0 ∶ 0
in reply to: Aaron Gertler 🔸’s comment on: Archer’s Shortform
Thanks for the feedback Aaron!
With regards to EA orgs e.g. 80,000 hours. I wasn’t trying to suggest that EA orgs have their own paid newsletters. Rather, I was suggesting that a separate not-for-profit organisation could be set up specifically for creating paid newsletters (on any topic) while stating that said organisation is trying to raise money for effective charities. The organisation would be made of individuals and teams who each run different paid newsletters under one umbrella. (These potentially could be subsidiary companies; I haven’t really thought through all the business legal stuff).
Sorry, I should have been clearer on this.
The everything newsletter is a combination of newsletters which illustrates how an umbrella organisation with multiple newsletters could work.
With regards to finding examples, I haven’t deep dived into this, but I do know that Product Hunt (bought by AngelList) started out basically as an e-mail list with a) a small audience and b) crowdsourcing their content. Its now morphed into something a bit different than a paid newsletter. Though it does have its Founders Club offering which isn’t that different. (I think newsletters tie in very well with community platforms like those which can be built with tools like circle).
Building an audience does seem like it would be the big hurdle. But I think this would give the EA community an advantage in this arena. If the EA community knows that there is an organisation trying to raise money for effective charities, then they could direct people in their social media networks towards the newsletters. This should provide a big enough ‘snowball’ to start with. Presumably, the combined network of everyone in the EA community is fairly large (though I don’t have figures on this—there is probably a lot of EAs in the followings of EA members and obviously it would be non-EAs that would be the target audience).

Archer 16 Nov 2020 19:41 UTC
1 point
0 ∶ 0
on: Archer’s Shortform
[HALF-BAKED IDEA—Fundraising through paid newsletters / text message courses.]
THE IDEA : Paid newsletters and paid text message courses should be considered as a potential earn -to-give entrepreneurship strategy.
More specifically, newsletters / text messages that are focused on sourcing items of interest for niche groups e.g. jobs, events, petitions, ideas, tools, content etc.
Some quick thoughts on why:
(WARNING: I am by no stretch of the imagination a fundraising expert, also this might be the longest short form ever)
Generally speaking, I don’t believe crowdfunding donations from the public is that effective, mainly due to a lack of social norms (most people don’t make time in their schedules to donate and even when they do, they are unlikely to share a charity they like with friends in the way they would share a product they like.)
For EA charities, I estimate this holds particularly true.
I believe the best way to fundraise from the general public is to sell a product they want (maybe with a bit of mark up) while being clear that you are trying to raise money for an altruistic cause.
I would suggest the ideal product would:
- Maximise potential profit
- Maximise ‘social influence gains’
- Minimise potential losses
- Minimise threat of competition
- Limit potential harm
Broadly, digital products seem like the best way to do this.
Here are some rough thoughts on why I think item sourcing newsletters / text message idea seems like it would be a particularly good fit.
- Crowdsourcing – This is possibly the most important reason. I would say the more crowdsourcing can be used in the creation and delivery of a service the more advantage a not-for-profit organisation is going to have as a provider over for-profits. The reason being, the more you can utilise crowdsourcing the more you can utilise volunteers and individuals are, presumably, more likely to volunteer for a not-for-profit than a for-profit.
- Remote – Not all EAs are based around economic centres, limiting their access to many of the common EA career options. I believe a remote team could deliver a newsletter service.
- Mass appeal – I would say that it is generally easier to make a big profit by getting a little bit of money out of a lot of customers than by getting a lot of money out of a few customers (even with current levels of wealth inequality).
- Social Influence – If successful, the newsletters would amass a big audience which is an asset in itself.
- Supply and demand—A general rule in economics is that the greater the supply of a product/service the cheaper it becomes. However, with digital products it seems this only hold up to a point. The supply of a digital product is practically unlimited, so, with a big enough customer base one might be able to make a profit while charging tiny amounts. But most consumers probably aren’t going to sweat getting their credit card out for a $1 transaction over a 10cents transaction. This could be mean that one could theoretically attain big profit margins. Moreover, the supply of a digital product is naturally matched to the demand, different newsletters will have different demands (depending on how niche they are) leading to different prices. So there will be no standard price for a newsletter in the same way there is for an apple. This ambiguity in pricing would make it easier to add a mark up as consumers would have no clear expectation for the price of a newsletter.
- Simple but not too simple – The more complex the service / product the less likely one is to be able to create a competitive product. The simpler the service / product the more people will try to offer it. Newsletters seem to strike a nice balance.
- Valuable but not too valuable – Finds a balance between being valuable enough to pay for, but no so valuable that consumers will spend a lot of time making sure they get the absolute best one – so one does not need to create the absolute best product on the market to succeed.
- Minimal investment required – Small amount of time and money required to create MVP = minimal potential losses.
- Plenty of room – Unlike with a lot of things, like insurance, there’s no clear limit on how many newsletters a person needs. So there should be plenty of room in the market. Moreover, there are countless ways that one can create a newsletter and plenty of niches to find.
Of course, we would need a name for an organisation that provides such a service, how about….
SOURCY MEDIA [Pronounced: ‘Saucy’].
Here are some ideas on what items could be sourced....
Opportunities (To do / To seize)
- Jobs
- Grants / Funds
- Funding campaigns
- Deals / Exclusives
- Petitions
- Social movements
- Conventions / Crazes
- Programs / Courses / Camps
- Events / Experiences / Activities
Utilities and Inventory (To use / To have)
- Digital tools
- Physical tools
- Services
- Content / Material
- Natural resources
- Foods / Nutriments
- Treatments / Medicine
- Amusements / Stimulants
Learnings (To know / To follow)
- Questions / Prompts / Problems
- Affirmations / Reminders
- Facts / Data / Observations
- Stories / Anecdotes
- Words / Phrases
- Interpretations / Explanations
- Opinions / Beliefs / Quotes
- Theories / Models
- Ideas / Tips
- Rules / Heuristics / Principles
- Techniques / Strategies / Hacks / Practices
- Routines / Games / Rituals
Spaces (To go / To occupy)
- Residences
- Work spaces
- Social spaces
- Retreats
Entities (To collaborate with)
- Communities
- Individuals
- Businesses
- Public sector organisations
Meta
- Directories / Lists / Maps
- Marketplaces / Platforms
Thoughts?

Archer 8 Sep 2020 16:19 UTC
3 points
0 ∶ 0
in reply to: jkmh’s comment on: Modelling Individual Differences—Introducing the Objective Personality System
Hi jkmh, thanks for all your questions, it gives me the opportunity to layout my thinking without having to put it in the structure of an essay. I hope you’ll forgive me for answering in bullet points rather than prose.
Are you looking for funding? Looking to connect with an established researcher in psychology, or an established institution?
- Awareness: Firstly, I just want to make sure the EA community is aware that the OPS exists (in case I drop dead or something).
- Feedback: Secondly, I’m hoping to get some feedback to see if others share my opinion that the OPS shows enough promise to suggest the model may have utility above and beyond existing systems - particularly the Five Factor Model. (based on their own subjective impressions – as that’s all we really have to go on at this point)
- Build a team: If the feedback is positive, a next step could be to set up a research team to conduct the necessary research to test the validity of the model – if I can build that team with non-EA people to avoid wasting EA career hours that would probably be ideal.
- Funding: Likewise, it would be a last resort to look to the EA community for any funding that would be needed.
- Contacts: Contacts would be useful. I lack any connections with any researchers or institutions in the field. I can obviously try to contact these people independently, but if there is mutual contact within the EA community that would probably aid my cause. But again, at this stage, I am just looking for people’s thoughts on the model.
What are the key first steps that an EA could take?
- Learn the system: - Learn how the system works. One might find the system useful in their daily life. Of course, in using the model, one might be making some assumptions about the model’s validity. Fair warning: it can take some time before it clicks. There is a limited amount of material to learn from. Though, it is something than you can, to some extent, learn passively – once you understand the basic components of the system you can cross-reference them with observations of yourself and others as you go about daily life. If anyone is interested in learning the system, please reach out to me so I can try and speed up the process (by finding the best resources etc.).
- Share their impressions: It would be better if we could have multiple opinions on how much promise the OPS shows from people who have learned the system – rather than just mine.
- Get hired: Anyone based around Portland, Oregon can try and get hired. It seems Dave & Shannon are hiring part-time assistants as a trial run for operators. They are only just starting to build the team, so any new hires could have a significant influence on the direction of the organisation. They would probably benefit from having someone who has formal research training as this is a weak spot. Again, if anyone is interested, please reach out to me first so I can advise on what Dave & Shannon are looking for.
- Accelerating testing (indirectly): EAs can help accelerate testing the predictive validity of the OPS, indirectly as well as directly, They could, for example, share the model with people who might be interested in exploring the model (e.g. psychology researchers they might know). Offering any relevant expertise would be useful, I don’t currently have any contacts in the field.
- Accelerating testing (directly): If an EA wants to get a bit more involved, they can express an interest in joining an interest group. If there is sufficient interest, I could set up an EA personality psychology & psychometrics social media group where updates can be shared.
It’s possible that OPS could be useful to EA, but as stated in the post, the validity is not established. It’s hard for me to see how OPS has more predictive ability for mental illness (and subsequent treatment) than any other model of personality.
- Imbalanced: The concept of the savior functions, particularly the dominant function, seems especially important when it comes to mental health. The model suggests that we are all significantly imbalanced, with these savior functions dictating a lot of our inclinations. It is this imbalance that seems to lead to a lot of mental disorders. While it is possible that models like the FFM could still capture this theorised imbalance in a different way, the self-report questionnaires might not pick it up. If this theorised imbalance is true, then we would want to ensure we identify it accurately in an individual before making a prediction about their likelihood of getting certain mental health conditions.
- Usability: Predictive utility is more than just about predictive ability / power. It is also about how easy it for users to get at these predictions. The OPS is a model which individuals can learn about themselves and integrate into their everyday decision-making. The modular nature of the model means that individuals can gain a conceptualisation of how each component works and apply this understanding in their reasoning. This is not sort of model that can only be applied in a research setting.
- An illustration of the mind: When one is trying to fix something, often the first thing to do is try to identify what specific part isn’t working properly. For therapists, doctors and others trying to tackle mental health issues, this isn’t so easy. There aren’t that many (as fair I’m aware) mental models which they can use to identify the source of a problem. The OPS could provide such a model, it illustrates parts of the mind which seem to be the source of a lot of mental disorders (particularly personality models). The model is also simple that mental health professionals can use it to communicate their ideas to their patients.
- Tailoring new interventions: Ideally, new treatments and interventions will be trialled in advance. When conducting these trials, it seems like it would be useful to use personality as a control (to see if the intervention would have a different impact based on personality). This would involve putting each member of the population sample ‘in a box’ based on their personality. As fair as I’m aware (though I don’t claim to have done thorough research) this doesn’t normally happen. The continuous format of the FFM isn’t exactly conducive to this sort of thing. Moreover, new treatments could also be designed to target specific temperament types, which would presumably improve their effectiveness. I might be wrong but It doesn’t seem like current mental interventions are generally designed to be tailored to individuals based on their personality. The typological format of the model would make it easy to be used as a control and for interventions to be targeted at specific groups (based on their temperament).
The key feature that makes OPS unique seems to be that it tracks changing personality throughout the day—but what is it about that feature that makes you believe that it could be a better model with more predictive power? Just more granularity?
- Mental limits: The concept of the animals, which illustrates the different mental states which one can move in and out of throughout the day, appears to dictate the mental capacity one has for doing different activities. In the same way temperament dictates how much mental capacity an individual has for social interactions (a well-known manifestation of extroversion), temperament, it seems, will also dictate how much mental capacity a person has for a range of activities. Trialling new things and taking in new information, for example. (one reason why some people read a lot more than others). This would be highly relevant to career planning.
- Strategy: Another way in which the animal cycle appears to manifest, is in the way people approach a goal. It seems, individuals tend to take similar approaches to tackling different problems (even if the problems require different approaches). It is suggested that the approach individuals are inclined to take (E.g. does the individual tend to plan or do lots of research before getting started), is in large part a reflection of the order in which they cycle through the animals. These could be useful insights, particularly in the context of improving decision making.
- Uniqueness: I think there are other important points that make the OPS distinct. For example, the interconnected nature of the model which shows how the different facets of personality interact with each other. I think this would probably give it an extra boost in predictive power, relative to models like the FFM which look at traits separately.
- Practicality and adoptability – Predictive power isn’t the only thing that will dictate the real-world utility of a model. A type-based model is far more practical (and engaging) than a continuous model that looks at separate traits like the FFM. The modular framework (taxonomic structure) would also make it very practical, allowing the model to be used to divide a population at different levels (i.e. 2 types, 4 types, 8 types etc.).
This is probably the biggest bottleneck to convince an EA to get involved here. Have Dave & Shannon published peer-reviewed papers that have results that can be replicated?
- Still building the samples: Dave & Shannon have not yet tested the model. They still need to build the population samples. The problem with testing a model of personality is that you have to build a population sample to conduct the test– which involves building an assessment. Therefore, you cannot evaluate the model without simultaneously evaluating the assessment. But there is no way of knowing that your assessment is working because you do not yet know whether the model is even valid. Dave & Shannon have therefore stuck with the double-blind observational test, with trained operators, to try to ensure they type people as best they can.
- Focusing on evaluation: Regarding EAs, at this point I’m focusing on evaluating the model. I mentioned a few cause areas where this model might be of use. But I’m not expecting EAs working in these areas to apply the model until its validity has been tested. So, I’m asking whether there is any EAs who want to help accelerate the evaluation of the model. I realise this is more of a high-risk career move, where direct impact is less guaranteed.
Have they tried to come into contact with established institutions? What if the best next step is for Dave & Shannon to get into graduate school and go for a PhD doing this as their research?
- Keeping their heads down—No, seem focused on building their own team first before making next move. They seem to want to wait until they have their own evidence base before sharing their findings.
- PhD unlikely: I’m pretty sure neither of them have undergraduate degrees. So they might have a bit of a hard time getting onto a PhD programme. I think having their own independent research team give them more flexibility (and less time constraints).
If you’re still reading, I hope this answers your questions.

Archer 7 Sep 2020 18:42 UTC
4 points
0 ∶ 0
in reply to: EdoArad’s comment on: Modelling Individual Differences—Introducing the Objective Personality System
Hi EdoArad, thanks for the question. Apologies for the lengthy response.
I guess there are 2 separate issues that I’m trying to address:
1. The significance of personality psychology and psychometrics in EA. In particular, the utility in developing and applying a model of temperament (let’s call it model X) which has substantial predictive power, whilst also being practical and adoptable. (Your question highlights that I haven’t properly addressed this – I will try and write something to rectify that and link it here)
2. Is the OPS model X? And if so, what bottlenecks exist in its development and application that might be worth EAs addressing?
For the OPS the big bottleneck is the fact that its predictive validity has not been formally evaluated. I am, at this stage, suggesting that it may be worth the time of a few EAs to get this bottleneck removed sooner than it otherwise would be. To be clear, I am not suggesting that were the OPS to be proven valid, it would only be useful to the EA community to the extent that EAs and EA organisations would use it. If the model were proven valid it would presumably receive a lot of investment from other individuals and organisations (businesses, research organisations etc.). The potential returns (e.g. research findings) from this investment could provide a big boost for certain EA cause areas.
Regarding a specific cause area. Let’s take mental health. I do not pretend to be an expert, of any sort, in this area. But here is my basic thinking.
For mental health, many of the serious mental disorders that have been identified, such as those in the DSM-5 and ICD-10, are labelled personality disorders. I believe this is because individual differences in predisposition to these conditions is related to individual differences in temperament. Many of those who end up with a personality disorder seem have lifestyles (or trauma) that accentuate a biological predisposition. A model like the OPS could help individuals identify which personality disorders they are prone to. Also, by applying the ideas of the model, more effective interventions could be designed to help treat these conditions and to avoid people getting them in the first place.
This idea extends to other mental disorders as well. It is suggested that the OPS can predict what sort of things an individual is likely to be afraid of and distressed by. In certain cases, it may be able to predict what is causing a person’s depression and/or anxiety. But it is not yet clear the extent to which it might be able to do this. More importantly, it may help identify the right treatment for an individual. Treatment for depression and anxiety is rarely tailored to the individual. But if there are significant differences in how our minds work, then it makes sense that treatments should be ‘psychometrically tailored’. Dave & Shannon suggest they themselves have been using their model to help clients overcome their mental health struggles.
I hope this makes things slightly clearer.

Archer’s Quick takes

Archer28 Aug 2020 9:27 UTC

1 point

4 comments EA link

Archer 28 Aug 2020 8:32 UTC
1 point
0 ∶ 0
on: Archer’s Shortform
A new model of the mind
I stumbled across this new model of temperament (innate personality) about a year ago. I have been studying it and thinking about it ever since. It’s called the Objective Personality System (OPS).
[EDIT: I have subsequently written a personal blogpost on this matter which provides an overview of the history and state of affairs of the personality system.
I think the OPS raises 3 key questions:
1. What if there really are types of brain?
2. What predictions could be made about an individual based on their temperament?
3. What if new demographic groups were established based on temperament? ]
The OPS appears to model individual differences in; judgement, awareness, motivation, expectancies, perception, learning & memory and mental states. The model also attempts to illustrate how an individual’s personality varies throughout the day.
The system is in the early stages of development and its predictive validity has not been formally evaluated. The OPS’ creators, a couple based in Portland, Oregon, are not personality psychologists, they are enthusiasts. The pair have stated that the personality code is open source.
The OPS was released to the public in 2018. It’s based on Carl Jung’s theory of cognitive functions, like the infamous Myers-Briggs Type Indicator (MBTI). Like the MBTI, the system implies the existence of temperament types. However, the OPS expands upon the original 16 types proposed by Myers & Briggs dividing each into 32 sub-types thus creating a spectrum of 512 types. Importantly, though the system is modular. It is comprised of a combination of interlinked binary components. So, the system can divide a population into 2 types, 4 types, 8 types, etc.
I suspect that the Objective Personality System could have a lot more predictive power than current established models e.g. The Five Factor Model (Big 5). The modular framework could also make it much more practical and easier to integrate. Hence, I believe the model has the potential to be extremely important. However, I am keen to check that I am not crazy!
So it would be good to get your opinion.
Here are some resources if you wish to investigate:
OPS:
Carl Jung’s Functions: