Berlin

Article

Berlin is a recurring place in the Astral Codex Ten archive, appearing 27 times across 27 issues between April 12, 2021 and April 01, 2026. The archive places it in contexts such as “31: How did rent control go in Berlin? (answer: badly)”; “Berlin: Saturday 10/9, 1 PM”; “BERLIN, GERMANY ( RSVP )“. It most often appears alongside Scott, Germany, ACX.

Metadata

Category: Places
Mention count: 27
Issue count: 27
First seen: April 12, 2021
Last seen: April 01, 2026

Appears In

- Scott (15 shared issues)
- Germany (14 shared issues)
- ACX (13 shared issues)
- France (12 shared issues)
- London (12 shared issues)
- Austin (11 shared issues)
- Boston (11 shared issues)
- facebook (11 shared issues)
- India (11 shared issues)
- Australia (10 shared issues)
- Berkeley (10 shared issues)
- Brazil (10 shared issues)

External Links

Source Context

Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.

Links For April

April 12, 2021 · Original source

31: How did rent control go in Berlin? (answer: badly).

Inline links: How did rent control go in Berlin?

Meetups Everywhere 2021: Times And Places

August 23, 2021 · Original source

BERLIN, GERMANY (RSVP) Contact: Ruben, ssc[at]alphabattle[dot]xyz Time: 1:00 PM, Saturday, October 9 Location: Südplateau Fritz-Schloss-Park Coordinates: https://w3w.co/directly.packing.pardon

Inline links: RSVP, Südplateau, https://w3w.co/directly.packing.pardon

Berkeley: Saturday 8/28, 1 PM Boston: Sunday 9/5, 5 PM New York: Monday 9/6, 5 PM Washington DC: Saturday 9/11, 5 PM Lisbon: Saturday 9/18, 5 PM Madrid: Saturday 9/25, 11 AM Zurich: Sunday 9/26, 5 PM Vienna: Saturday 10/2, 1 PM Prague: Sunday 10/3, 5 PM Berlin: Saturday 10/9, 1 PM Paris: Sunday 10/10, 5 PM London: Saturday 10/16, 1 PM Oxford: Sunday 10/17, 5 PM Cambridge: Saturday 10/23, 1 PM Edinburgh: Sunday 10/24, 5 PM

Open Thread 190

September 18, 2021 · Original source

Madrid - Saturday 9/25 11:00 Zurich - Sunday 9/26 17:00 Vienna - Saturday 10/2 13:00 Prague - Sunday 10/3 17:00 Berlin - Saturday 10/9 13:00 Paris - Sunday 10/10 17:00 London - Saturday 10/16 13:00 Oxford - Sunday 10/17 17:00 Cambridge - Saturday 10/23 13:00 Edinburgh - Sunday 10/24 17:00

Paris Meetups This Weekend

October 07, 2021 · Original source

1: Berlin meetup this Saturday, October 9, 1 PM, at directly.packing.pardon, aka the Südplateau in Fritz-Schloss-Park.

Inline links: directly.packing.pardon

Does Georgism Work, Part 3: Can Unimproved Land Value be Accurately Assessed Separately From Buildings?

December 11, 2021 · Original source

Gwartney says that when he was the assessment commissioner and chief executive officer in British Columbia, he had a staff of 690, and that this number has not changed significantly since then. British Columbia has a population of about 5 million, so that's 1 assessment officer for every 7,250 British Columbians. For context, the IRS has a staff size of 74,454, or about one IRS agent for every 4,425 Americans. I don't have data on how many property tax assessors the USA has in total, but the above slide suggests British Columbia's figure is on the high end. As for how you actually do assessments, sure, you can send out an army of assessors to value each and every property in your jurisdiction by hand. However, not only is that labor-intensive, it's also a recipe for inconsistency. Whatever method you're using to value properties needs to be consistent and standardized across all properties, so you don't have sharp discontinuities on the assessment map that are due solely to differences between Assessor Fred and Assessor Sally's personal methodologies. Thankfully, we're living in the modern age, and we have some fancy new tools at our disposal. 4. Modern Technology Georgists were doing split-rate assessments to allegedly good success long before the rise of the computer, such as J. J. Pastoriza's effort in setting up a Georgist tax regime in Houston, Texas in 1911. Today, we have spreadsheets, property value databases, GIS mapping visualizations, regression analysis, machine learning...the works. According to Gwartney, the Canadian province of British Columbia has revalued all its land and all its property on an annual basis simply by using computers and market analysis, ever since he first helped them set up their system back in 1975. Not every jurisdiction revalues their land this thoroughly and this often, but Gwartney says there is no significant technical or staffing barrier standing in the way. Gwartney has been retired for some time, so his seminar didn't cover all the latest cutting-edge techniques that have come out in the last few years. Let's look at some recent papers and see what new tools assessors have to play with. The first on my list is Land Value Appraisal Using Statistical Methods by Kolbe, Schulz, Wersing, and Werwatz (2019). This is a study on mass appraisal techniques using real estate transaction data from Berlin, Germany. It claims that not only are the results cheaper and faster to generate than those done by conventional property assessment methods, but they are also no less accurate than those done "by hand" by experts. Kolbe et al. assert that, provided you have access to high quality market transaction data, you can perform accurate and efficient mass appraisals of land values. They chose Berlin because it "has a very effective system of property transaction data collection and storage," in contrast to other parts of Germany. They cite some prior work by Almy (2014) studying Canada, the Netherlands, and the United States, suggesting that the assessment cost per property can be brought down to 20 Euros–25 times cheaper than what some other people (Fuest, et al. (2018)) assert. Given an average tax receipt of 2,000 Euros per property, this means that the assessment cost should represent only about 1% of the funds raised. Is that good? Let's take this assertion at face value for the moment and compare it to the cost of the IRS. Federal tax receipts in 2020 were $3.42 trillion, and operation costs for the IRS were $12.3 billion, or 0.36%. However, the IRS outsources most of the labor of tax preparation to the taxpayers themselves, with compliance costs estimated between $200 billion and $400 billion a year, to the delight of Intuit. Add that up and the total cost of federal tax collection to the economy is anywhere between 6-12% of the amount it raises. And what about sales tax? According to a 2006 report by PriceWaterHouseCoopers: The study finds that the national average annual state and local retail sales tax compliance cost in 2003 was 3.09 percent of sales tax collected for all retailers, 13.47 percent for small retailers, 5.20 percent for medium retailers, and 2.17 percent for large retailers So a compliance cost of 1% would be way more efficient in terms of cost collection than the other two most common forms of taxation, and taxpayers don't even have to do anything themselves, other than pay the bill. Alrighty, how about the accuracy? The authors cite two international examples, Australia and Lithuania, as among the few countries in the world that have both a Land Value Tax and statistical methods for mass appraisals. Hefferan and Boyd (2010) assert that objections to assessments from property owners in Australia are less than 1%. I'm willing to buy the improved efficiency claims just by taking a look at some methodologies. It seems reasonable that computerized records and algorithms can cut costs significantly; the real question is if you're trading off accuracy. The other papers I found on the subject are Bencure, et al (2019) in BayBay City, Philippines, Kilić, et al (2019) in Croatia, Yalpir & Unel (2017) in Konya, Turkey, and Raslanas et al. (2014) in Vilnius, Lithuania. Let's dive in and examine some methods. 5. Mass Appraisal Methods Here are some of the latest mass appraisal methods cribbed from the research papers listed above. All of these are based on taking market transaction data, plotting them out on a map, and running computations over them to estimate valuations for the properties you don't have known values for. Furthermore, all of these methods are able to value land and building values separately. Multiple Regression Analysis This paper by Yalpir and Unel out of Turkey gives a straightforward example of using Multiple Regression Analysis for land valuation. For those of you who didn't study math, let me explain regression analysis. This is a family of mathematical models where you basically take a data set, ask the question "what mathematical formula would best fit this data," choose a basic equation model, and then have a computer search for a set of coefficients that "best fit" that curve to the data with the least amount of error. The simplest example is using linear regression on a scatterplot of observed data points to fit a trend line. This is a common exercise in freshman physics and statistics classes. You can use more complicated versions of this numerical method to take a big bag of observations (real estate sales) and use "multiple regression" to tease out dependent variables (land value and improvements value) based on the independent variables (size, location, age, number of bedrooms) of your observations. In this case the team identified about a hundred different factors that can affect the price of a property: Then you create an entry for each property, fill in the values for each of those characteristics, and run it through the regressor. Take note of how many of these factors start with the words "proximity to." Each of these can be calculated automatically just by knowing where the property is on a map, and each of them is an independent contributor to the value of the property's location. The next step is to generate individual "index maps" that combine various related features into combined heat maps. Then you run everything through and see if it works. You can get the land share of the final value by combining the contributions of all the individual factors that you associate with "land," such as proximity to important things. In the verification section the authors say: As a result of the analysis, since the significance level (0.000) p <.05, corresponding to the F values in the ANOVA test, indicates that the regression analysis is appropriate and the models are significant. The criteria that make up the model account for about 85% of the market value and 15% cannot be explained for reasons such as economic, non-existent data and unearned income. Unfortunately, they don't say anything about how accurate their model is for assessing land values specifically. Otherwise, this is a pretty good example of using the Multiple Regression method for estimating the individual contributions of various factors to overall property values. Gwartney says Multiple Regression Analysis was a standard method he typically used, of which this specific paper is just one example. Nonparametric kernel regression This will be a method familiar to the programmers in the audience who have any experience with image processing algorithms. Here's an example from this old Gamasutra article: The basic idea here is to take a matrix of numbers, called a "kernel", and run that over every pixel in a source image. The kernel tells you how strongly to weight all of the source pixel's neighbors to compute a final result for that position. A simple "box blur" is a kernel where every value is 1 (meaning it averages the values of all neighboring pixels within a range). The more subtle gaussian blur illustrated above uses a two-dimensional normal distribution of values so that each pixel is most affected by those nearest to it. So let's apply the same principle to land valuations. If you have a map with lots of transaction data of pure land sales–defined as sales of either vacant land or teardown properties (where the building value is essentially zero)–then you can use a special kernel filter to smoothly interpolate land values across the region. So you basically have a smooth curve that mostly favors close-by points, tapers off a bit, and then disregards anything outside a certain distance entirely. The big assumption here is that land values change smoothly and do not change suddenly across very short distances. There are, in fact, locations with sharp jumps in value (any town with an "other side of the tracks," for instance). But for cases where we know a priori that land values change smoothly, this method is appropriate. No other prior restriction is placed on the form of the land value map, however, and this is why it's called "nonparametric." Here's an illustration. The outer box is the entire search distance that the kernel considers, and the circles represent the falloff of the curve itself. The size of the box is called the "bandwidth" and is set by the user. Everything outside of it will have zero influence on the kernel's output at any given location. This method operates on the same basic logic that I used when I hand-estimated the land value of that San Francisco house in Part I based on the value of the empty lot next door. However, it makes the whole procedure systematic. It can easily and accurately estimate the land value of a property with a big fat building on it simply by smoothly interpolating the known values of the nearby parking lots. Of course, it has limitations. First and foremost, it's a highly local operation, so if you have properties you're trying to value that don't have nearby pure land sales data, you can't really do much with this. Also, most people assume that city centers have less market transactions for undeveloped land than the countryside, as did I until I read that paper by Albouy in Part I. But in any case, this is just one method in your toolbox and might not be sufficient by itself. Its key advantage is that it works directly from true market data for land and doesn't need or want any other subjective data. In the end, basic kernel estimation just fills in the land value of unmeasured locations with a local weighted average of known locations. Nonparametric adaptive regression Kolbe, et al. build on the kernel regression method with a technique called Adaptive Weights Smoothing (AWS), which runs in several iterations and adds additional weight to any observed data points that are sufficiently close to the point being estimated. I'm not 100% sure about what all the math means, but it seems like it's basically a "smarter" version of the basic kernel method. Left: Nonparametric kernel regression, Right: Adaptive Weights Smoothing. I think the authors goofed and printed the same figure twice with different headings because they're identical if you overlay them in Photoshop. Semiparametric regression Now, the above two methods assume you have plenty of "pure" land sale records to work with. But if you're trying to work out prices in the city center, you've probably mostly got land and buildings mixed together. To do this effectively, we need more data, and this is where the "parameter" in "semiparametric" comes in. The model described in Kolbe et al. seems like a flavor of multiple regression analysis that takes the price, the location, and various characteristics of the building and feeds it into a regressor. But we've got "semi" parametric here. What does that mean? Well, if you already know how certain relationships between the data work a priori, it's better to enforce those relationships yourself rather than leave it to the computer. Here, we enforce the assumption that if two properties are right next to each other, then the value due to location is going to be essentially identical. This algorithm starts by ordering things geographically and then working out the differences in observed price by regressing on the difference between remaining property characteristics. In this method, the power of "location, location, location" is not something we're leaving to the regressor to discover by itself. Results of the Semiparametric regression method, we can see some significant differences from the simple kernel-based model. As you can see above, this gives you more detailed and likely more accurate results, and you're better able to assess the values of properties with buildings on them, even in the absence of pure land sales. This technique is more complicated and bakes in assumptions about the power of location, but otherwise doesn't assign subjective human weights to the various property characteristics. The chief human bias comes in the form of deciding which property characteristics are measured and made legible to the model in the first place. Okay great, but how accurate are the above three methods? Their main point of comparison is this thing called the "Bodenrichtwerte," or BRW. I think that means "ground-level-values" in English, and it's an expert-assessed map of land values for Berlin done the traditional way. The nonparametric kernel regression method has a correlation of 0.704 with the traditional method and has the added disadvantage that it's not able to produce estimates for the city center, only the outlying areas. Furthermore, the BRW map does show sharp discontinuities, which is another knock against the kernel method, at least for the city center. What about the iterative method? Kolbe et al. find that "the agreement between [Adaptive Weights Smoothing] land value estimates and, both, land prices and BRW land values is fairly good for all values of λ." Doing some quick checks, their values seem to be within about 85% of the BRW values. A different Kolbe et al. paper called Identifying Berlin's land value map using adaptive weights smoothing goes into more detail and claims to give "similar" values to that of the BRW. For the semiparametric method, they "found a strong positive correlation of 0.845" between their numbers and a previously expert-assessed set done using the traditional method. That sounds pretty good. It seems their margin for error is about plus or minus 15% compared to the traditional expert method. I'd like to see more direct comparisons against market transactions themselves, though, because if the prior expert assessments are wrong, then the main achievement here is improved efficiency, not accuracy. However, this method doesn't seem to be dramatically less accurate than the old way of doing things. The last three models came from the Berlin case study, where you have excellent market transaction data in an extremely wealthy and high-trust society. But what if you're trying to assess land in a developing nation with poor market transaction records, weak institutions, and widespread poverty? Innovative Land Valuation Model (iLVM) This is the particular name of the method described in Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches by Bencure, Tripathi, Miyazaki, Ninsawat, and Kim. They used BayBay City, Philippines as their case study. Whereas the previous models are very "hands-off" and let the computer work out the relationships between prices and property characteristics, here you get expert human opinion directly involved in building the model, baking in weights that directly embody judgments like "properties next to major roads are more valuable." These judgments are based on expert opinions that presumably come from observed experience but are a priori judgments nonetheless. Here, look at this big complicated flowchart. The "Analytic Hierarchy Process" in the box on the left is a particular kind of method for getting experts to set weights. The authors give this reason for using it: Despite criticism pinpointed by other scholars, the AHP remains the commonly used in many research fields and practical applications. This is because the AHP: (1) overcomes human difficulty in making simultaneous judgment among factors to be considered in the model; (2) is relatively simple as compared to other MCDA [multi-criteria decision analysis] methods; (3) is flexible to be integrated in various techniques such as programming, fuzzy logic, etc.; and (4) has the ability to check consistency in judgment After identifying a list of "factors" that can affect land value, they group them into taxonomical buckets: Note that certain factors like "Coastline" appear in multiple buckets; this captures the various influences a characteristic can have. For instance, land on the coast tends to be more economically valuable because of tourism, shipping, fishing, etc., so that goes under "economic." But land that's next to the coast is also more likely to flood, so it also goes under "environmental." And then there are various land use restrictions that apply specifically to coastal areas, so it goes under "legal" as well. In this way, a single factor like "the property is on the coastline" can have both positive and negative effects on land value (e.g., it's more economically valuable but it also might flood, and there are certain things you aren't allowed to do there). The next step is to set down some rules for how sensitive each factor is to location and distance. So here we can see that the economic benefit of being on the coast is most strongly felt if you're within half a kilometer of the ocean, but the environmental effect (e.g., risk of flooding) is most strongly felt when you're within 0.03 kilometers. And so on and so forth. Your experts help you work out all these rules. Note that for a few of these factors (such as land use and slope), you use metrics other than distance (e.g. land use classification and grade). Then you take all that stuff and assign everything a value between 0 and 5. Your team of experts then uses this table to come up with a set of weights for everything. What essentially comes out of this is a big linear equation with a bunch of coefficients for every one of your factors, which is then broadly fit to the observed market prices. When you're done, you can take any property on your list, multiply each of its characteristics by its respective weight, run that through your equation, and calculate the predicted price of the land. So how accurate is it? The authors compare it to standard Multiple Regression Analysis and claim it fares better. The Root Mean Square Error is quite a bit less than MRA. In addition, I think it's also saying that the MRA algorithm decided that only four of the factors were significant and basically ignored all the rest. By contrast, iLVM was able to maintain contributions from all the factors, because it doesn't leave that decision to the computer. I'm not 100% sure; it's not clear from the paper. The authors claim that about 67% of the variability is explained by their model, but they note that there are some areas where the model can be off by more than a factor of 1.0 in either the positive or negative direction. One thing that's kind of fun about this model is that you can make neat graphs like this that show the individual contribution of each factor: The main downside to this model is that it relies on a whole lot of subjective expert opinion and can be questioned on that basis. That said, it can be cheaply deployed in a transparent and consistent way across a large area. You can see why that's attractive for a developing nation with weak institutions and poor market transaction records; the argument is that this is a significant improvement over the former status quo. I wonder how well this model performs when you feed it better market transaction data, and how that would compare against all the others methods under identical conditions. More research is needed. Rather than drag you through a bunch more research papers, I'll just leave these others I found cited in the above studies: Killić et al. (2019) - Fuzzy expert system for land valuation in land consolidation processes

Results of the Semiparametric regression method, we can see some significant differences from the simple kernel-based model. As you can see above, this gives you more detailed and likely more accurate results, and you're better able to assess the values of properties with buildings on them, even in the absence of pure land sales. This technique is more complicated and bakes in assumptions about the power of location, but otherwise doesn't assign subjective human weights to the various property characteristics. The chief human bias comes in the form of deciding which property characteristics are measured and made legible to the model in the first place. Okay great, but how accurate are the above three methods? Their main point of comparison is this thing called the "Bodenrichtwerte," or BRW. I think that means "ground-level-values" in English, and it's an expert-assessed map of land values for Berlin done the traditional way. The nonparametric kernel regression method has a correlation of 0.704 with the traditional method and has the added disadvantage that it's not able to produce estimates for the city center, only the outlying areas. Furthermore, the BRW map does show sharp discontinuities, which is another knock against the kernel method, at least for the city center. What about the iterative method? Kolbe et al. find that "the agreement between [Adaptive Weights Smoothing] land value estimates and, both, land prices and BRW land values is fairly good for all values of λ." Doing some quick checks, their values seem to be within about 85% of the BRW values. A different Kolbe et al. paper called Identifying Berlin's land value map using adaptive weights smoothing goes into more detail and claims to give "similar" values to that of the BRW. For the semiparametric method, they "found a strong positive correlation of 0.845" between their numbers and a previously expert-assessed set done using the traditional method. That sounds pretty good. It seems their margin for error is about plus or minus 15% compared to the traditional expert method. I'd like to see more direct comparisons against market transactions themselves, though, because if the prior expert assessments are wrong, then the main achievement here is improved efficiency, not accuracy. However, this method doesn't seem to be dramatically less accurate than the old way of doing things. The last three models came from the Berlin case study, where you have excellent market transaction data in an extremely wealthy and high-trust society. But what if you're trying to assess land in a developing nation with poor market transaction records, weak institutions, and widespread poverty? Innovative Land Valuation Model (iLVM) This is the particular name of the method described in Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches by Bencure, Tripathi, Miyazaki, Ninsawat, and Kim. They used BayBay City, Philippines as their case study. Whereas the previous models are very "hands-off" and let the computer work out the relationships between prices and property characteristics, here you get expert human opinion directly involved in building the model, baking in weights that directly embody judgments like "properties next to major roads are more valuable." These judgments are based on expert opinions that presumably come from observed experience but are a priori judgments nonetheless. Here, look at this big complicated flowchart. The "Analytic Hierarchy Process" in the box on the left is a particular kind of method for getting experts to set weights. The authors give this reason for using it: Despite criticism pinpointed by other scholars, the AHP remains the commonly used in many research fields and practical applications. This is because the AHP: (1) overcomes human difficulty in making simultaneous judgment among factors to be considered in the model; (2) is relatively simple as compared to other MCDA [multi-criteria decision analysis] methods; (3) is flexible to be integrated in various techniques such as programming, fuzzy logic, etc.; and (4) has the ability to check consistency in judgment After identifying a list of "factors" that can affect land value, they group them into taxonomical buckets: Note that certain factors like "Coastline" appear in multiple buckets; this captures the various influences a characteristic can have. For instance, land on the coast tends to be more economically valuable because of tourism, shipping, fishing, etc., so that goes under "economic." But land that's next to the coast is also more likely to flood, so it also goes under "environmental." And then there are various land use restrictions that apply specifically to coastal areas, so it goes under "legal" as well. In this way, a single factor like "the property is on the coastline" can have both positive and negative effects on land value (e.g., it's more economically valuable but it also might flood, and there are certain things you aren't allowed to do there). The next step is to set down some rules for how sensitive each factor is to location and distance. So here we can see that the economic benefit of being on the coast is most strongly felt if you're within half a kilometer of the ocean, but the environmental effect (e.g., risk of flooding) is most strongly felt when you're within 0.03 kilometers. And so on and so forth. Your experts help you work out all these rules. Note that for a few of these factors (such as land use and slope), you use metrics other than distance (e.g. land use classification and grade). Then you take all that stuff and assign everything a value between 0 and 5. Your team of experts then uses this table to come up with a set of weights for everything. What essentially comes out of this is a big linear equation with a bunch of coefficients for every one of your factors, which is then broadly fit to the observed market prices. When you're done, you can take any property on your list, multiply each of its characteristics by its respective weight, run that through your equation, and calculate the predicted price of the land. So how accurate is it? The authors compare it to standard Multiple Regression Analysis and claim it fares better. The Root Mean Square Error is quite a bit less than MRA. In addition, I think it's also saying that the MRA algorithm decided that only four of the factors were significant and basically ignored all the rest. By contrast, iLVM was able to maintain contributions from all the factors, because it doesn't leave that decision to the computer. I'm not 100% sure; it's not clear from the paper. The authors claim that about 67% of the variability is explained by their model, but they note that there are some areas where the model can be off by more than a factor of 1.0 in either the positive or negative direction. One thing that's kind of fun about this model is that you can make neat graphs like this that show the individual contribution of each factor: The main downside to this model is that it relies on a whole lot of subjective expert opinion and can be questioned on that basis. That said, it can be cheaply deployed in a transparent and consistent way across a large area. You can see why that's attractive for a developing nation with weak institutions and poor market transaction records; the argument is that this is a significant improvement over the former status quo. I wonder how well this model performs when you feed it better market transaction data, and how that would compare against all the others methods under identical conditions. More research is needed. Rather than drag you through a bunch more research papers, I'll just leave these others I found cited in the above studies: Killić et al. (2019) - Fuzzy expert system for land valuation in land consolidation processes

Doing some quick checks, their values seem to be within about 85% of the BRW values. A different Kolbe et al. paper called Identifying Berlin's land value map using adaptive weights smoothing goes into more detail and claims to give "similar" values to that of the BRW. For the semiparametric method, they "found a strong positive correlation of 0.845" between their numbers and a previously expert-assessed set done using the traditional method. That sounds pretty good. It seems their margin for error is about plus or minus 15% compared to the traditional expert method. I'd like to see more direct comparisons against market transactions themselves, though, because if the prior expert assessments are wrong, then the main achievement here is improved efficiency, not accuracy. However, this method doesn't seem to be dramatically less accurate than the old way of doing things. The last three models came from the Berlin case study, where you have excellent market transaction data in an extremely wealthy and high-trust society. But what if you're trying to assess land in a developing nation with poor market transaction records, weak institutions, and widespread poverty? Innovative Land Valuation Model (iLVM) This is the particular name of the method described in Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches by Bencure, Tripathi, Miyazaki, Ninsawat, and Kim. They used BayBay City, Philippines as their case study. Whereas the previous models are very "hands-off" and let the computer work out the relationships between prices and property characteristics, here you get expert human opinion directly involved in building the model, baking in weights that directly embody judgments like "properties next to major roads are more valuable." These judgments are based on expert opinions that presumably come from observed experience but are a priori judgments nonetheless. Here, look at this big complicated flowchart. The "Analytic Hierarchy Process" in the box on the left is a particular kind of method for getting experts to set weights. The authors give this reason for using it: Despite criticism pinpointed by other scholars, the AHP remains the commonly used in many research fields and practical applications. This is because the AHP: (1) overcomes human difficulty in making simultaneous judgment among factors to be considered in the model; (2) is relatively simple as compared to other MCDA [multi-criteria decision analysis] methods; (3) is flexible to be integrated in various techniques such as programming, fuzzy logic, etc.; and (4) has the ability to check consistency in judgment After identifying a list of "factors" that can affect land value, they group them into taxonomical buckets: Note that certain factors like "Coastline" appear in multiple buckets; this captures the various influences a characteristic can have. For instance, land on the coast tends to be more economically valuable because of tourism, shipping, fishing, etc., so that goes under "economic." But land that's next to the coast is also more likely to flood, so it also goes under "environmental." And then there are various land use restrictions that apply specifically to coastal areas, so it goes under "legal" as well. In this way, a single factor like "the property is on the coastline" can have both positive and negative effects on land value (e.g., it's more economically valuable but it also might flood, and there are certain things you aren't allowed to do there). The next step is to set down some rules for how sensitive each factor is to location and distance. So here we can see that the economic benefit of being on the coast is most strongly felt if you're within half a kilometer of the ocean, but the environmental effect (e.g., risk of flooding) is most strongly felt when you're within 0.03 kilometers. And so on and so forth. Your experts help you work out all these rules. Note that for a few of these factors (such as land use and slope), you use metrics other than distance (e.g. land use classification and grade). Then you take all that stuff and assign everything a value between 0 and 5. Your team of experts then uses this table to come up with a set of weights for everything. What essentially comes out of this is a big linear equation with a bunch of coefficients for every one of your factors, which is then broadly fit to the observed market prices. When you're done, you can take any property on your list, multiply each of its characteristics by its respective weight, run that through your equation, and calculate the predicted price of the land. So how accurate is it? The authors compare it to standard Multiple Regression Analysis and claim it fares better. The Root Mean Square Error is quite a bit less than MRA. In addition, I think it's also saying that the MRA algorithm decided that only four of the factors were significant and basically ignored all the rest. By contrast, iLVM was able to maintain contributions from all the factors, because it doesn't leave that decision to the computer. I'm not 100% sure; it's not clear from the paper. The authors claim that about 67% of the variability is explained by their model, but they note that there are some areas where the model can be off by more than a factor of 1.0 in either the positive or negative direction. One thing that's kind of fun about this model is that you can make neat graphs like this that show the individual contribution of each factor: The main downside to this model is that it relies on a whole lot of subjective expert opinion and can be questioned on that basis. That said, it can be cheaply deployed in a transparent and consistent way across a large area. You can see why that's attractive for a developing nation with weak institutions and poor market transaction records; the argument is that this is a significant improvement over the former status quo. I wonder how well this model performs when you feed it better market transaction data, and how that would compare against all the others methods under identical conditions. More research is needed. Rather than drag you through a bunch more research papers, I'll just leave these others I found cited in the above studies: Killić et al. (2019) - Fuzzy expert system for land valuation in land consolidation processes

Inline links: Identifying Berlin's land value map using adaptive weights smoothing, Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches, https://substackcdn.com/image/fetch/$s_!3CR3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F0489e086-69ae-4840-b658-59fee6b3af44_2000x1672.png, https://substackcdn.com/image/fetch/$s_!fA0K!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5d39769d-46e2-4891-92aa-cb3766068204_2000x978.png, https://substackcdn.com/image/fetch/$s_!phFK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5d1a519c-93d7-4bed-9577-7478fb239bca_1968x3548.png, https://substackcdn.com/image/fetch/$s_!XtLN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff59cb148-e0da-456b-b205-973e04239be7_587x647.png, https://substackcdn.com/image/fetch/$s_!My3b!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fee7b484b-3be8-4363-bcb8-1cb4fb4a7c01_661x655.png, https://substackcdn.com/image/fetch/$s_!SqQA!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F8a84b431-1250-427e-a67a-b3e2b8a3c0dd_896x623.png, https://substackcdn.com/image/fetch/$s_!qPOz!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fb71526d0-736c-45d7-ad14-36e5670f78ab_1153x881.png, Killić et al. (2019)

Highlights From The Comments On Health Care Systems

January 27, 2022 · Original source

As a data point, here's my experience in Germany. I've been living in Berlin for 1.5 years.

ACX Grants ++: The Second Half

February 10, 2022 · Original source

#114: Analyze Policy Failure In The COVID Pandemic In Germany The management of the Covid-19 pandemic in Germany revealed some classical modes of policy failure, but also some rather new or underexplored ones. I want to analyze those in-depth in a type of study that has a minimum of societal reputation. In a second step, if results will be interesting, I want to feed them back into the political process to induce change. I’m a mid-career person with a background in science, including working with a Nobel prize winner, and in project management. I have enough contacts in the ‘Kanzlermeile’, the political center of Berlin, to make the results relevant for change. I’m looking either for seed funding between 5000 and 20000 Euro for finding funds through grants or others or for 75000 Euro total to finalize the whole study and if relevant take first steps for exploiting results. If you can support this in any way, please contact me at policy.failure.analysed at gmail.com. If you’re working on similar topics, please also feel free to get in touch.

Meetups Everywhere 2022: Times & Places

August 26, 2022 · Original source

VIENNA, AUSTRIA Contact: Manuel, manuel[dot]turonian[at]gmail[dot]com Time: Saturday, September 10, 2:00 PM Location: Wiener Stadtpark at the Strauss Monument; will have an ACX Meetup sign. Coordinates: 8FWR693H+GP2 Event link(s): LessWrong Group info: Rationality Vienna is a group of about 30 people who meet once a month in person or via Zoom. You can join our Facebook group. Notes: We may want to shift to an indoor location depending on weather and the local Covid numbers. BRUSSELS, BELGIUM Contact: Bruno D, bruno[dot]astral[dot]codex[at]gmail[dot]com Time: Sunday, September 18, 4:00 PM Location: Guingette Henri, George Henri parc Coordinates: 9F26RCWC+84 Event link(s): LessWrong SOFIA, BULGARIA Contact: Anastasia, sofia[dot]acx[dot]meetup[at]gmail[dot]com Time: Saturday, September 17, 4:00 PM Location: Shade Garden (Сенчестата градинка; part of Borisova garden) Coordinates: 8GJ5M8GW+J9 Event link(s): LessWrong Group info: Sofia ACX started with last year's Meetups Everywhere round. We have Serious Meetups once per month at which we discuss a blog post, a short story, or a book (for instance, The Scout Mindset, The Money Illusion, The Metropolitan Man); and sporadic non-serious social meetups that mostly include getting dinner, going on a walk, watching a film, or playing board games. Attendance hovers around 6-8 people out of a pool of 13. People get invited to the Discord server after they've attended at least one in-person meetup. ZAGREB, CROATIA Contact: DJStern, dorian[dot]sternvukotic[at]gmail[dot]com Time: Saturday, September 3, 6:00 PM Location: Krivi Put Coordinates: 8FQQRX38+V6W Event link(s): LessWrong Group info: Croatian LessWrong active group communicates mainly through a Telegram group, we meetup semi regularly, approx once a month. The group is mostly social, and the meetups are not structured (sometimes we all just meet at a random party) Notes: Send me an Email and I will add you to a Telegram group where everything (active) LessWrong Croatia/Zagreb happens LIMASSOL, CYPRUS Contact: Arseniy, runescape[at]list[dot]ru, @anchorheld (Telegram / Instagram) Time: Saturday, September 3, 12:00 PM Location: By the Municipal Zoo Coordinates: 8G6MM3M3+Q6 Event link(s): LessWrong Notes: Please hit me up on Mail, Telegram, or Instagram if you're actually going PRAGUE, CZECH REPUBLIC Contact: Jiri Nadvornik, jiri[dot]nadvornik[at]efektivni-altruismus[dot]cz Time: Thursday, October 6, 6:00 PM Location: Garden of Dharmasala Teahouse Coordinates: 9F2P3CRW+FP7 Event link(s): LessWrong, Facebook event COPENHAGEN, DENMARK Contact: Søren Elverlin, soeren[dot]elverlin[at]gmail[dot]com Time: Saturday, September 24, 3:00 PM Location: Rundholtsvej 10, 2300 København S Coordinates: 9F7JMH38+GFP Event link(s): LessWrong, Facebook event, Meetup.com Notes: Please RSVP on LessWrong TALLINN, ESTONIA Contact: Andrew W, andrew_n_west[at]yahoo[dot]co[dot]uk Time: Monday, September 26, 7:00 PM Location: St Vitus, Tallinn. I don't know if anyone will turn up, but I'll be wearing a suit, a beard, and a book. Coordinates: 9GF6CPRH+MQ Event link(s): LessWrong HELSINKI, FINLAND Contact: Joe Nash, joenash499[at]gmail[dot]com Time: Saturday, September 3, 4:00 PM Location: Restaurant Töölönranta, Helsinginkatu 56 Coordinates: 9GG65WMJ+2J Event link(s): LessWrong Group info: LessWrong group FONTAINEBLEAU, FRANCE Contact: Ebrahim Akbari, ea[dot]akbari[at]gmail[dot]com Time: Saturday, September 10, 6:00 PM Location: Glasgow bar, Fontainebleau Coordinates: 8FW4CP32+J8 Event link(s): LessWrong PARIS, FRANCE Contact: Olivier, w20l2qtf[at]mailer[dot]me, We have a Discord and a matrix server (both servers are bridged together) Time: Friday, September 23, 6:00 PM Location: In the jardin du carrousel, next to jardin des Tuileries Coordinates: 8FW4V86J+GH Event link(s): LessWrong Group info: Regular meetups organized via discord or the newsletter every 3 months with around 20 people. Notes: We have a mailing list if you are interested in future meetups. Please don't hesitate to send me an email to RSVP that you're coming to help gauge the interest. TOULOUSE, FRANCE Contact: Alfonso, barsom[dot]maelwys[at]gmail[dot]com Time: Saturday, October 8, 7:00 PM Location: Bar 'Le Biergarten' (60 Gd Rue Saint-Michel, 31400 Toulouse). We'll be sitting at a table with an ACX MEETUP sign on it. Coordinates: 8FM3HCQW+9H Event link(s): LessWrong Notes: Please RSVP by email TBILISI, GEORGIA Contact: Evgenia Karunus, lakesare[at]gmail[dot]com, https://twitter.com/lakesare Time: Saturday, September 17, 7:00 PM Location: Coffee Place Coordinates: 8HH6MRQ2+WH Event link(s): LessWrong AACHEN, GERMANY Contact: Jörn, acx[at]j[dot]stoehler[dot]eu Time: Tuesday, September 27, 7:00 PM Location: Chico Mendes Coordinates: 9F28Q3HJ+9Q Event link(s): LessWrong Notes: Please RSVP here so I can reserve the right number of tables. BERLIN, GERMANY Contact: Ruben Arslan, ssc[at]alphabattle[dot]xyz Time: Sunday, October 2, 2:00 PM Location: Südplateau Fritz-Schloss-Park Coordinates: 9F4MG9H4+4X Event link(s): LessWrong, Google Calendar Notes: Please RSVP on LessWrong. I'll bring some beverages. COLOGNE, GERMANY Contact: Marcel Müller, marcel_mueller[at]mail[dot]de Time: Saturday, October 8, 5:00 PM Location: Marienweg 43, 50858 Köln, private venue, just ring the bell or follow the sign. Coordinates: 9F28WRMX+96H Event link(s): LessWrong Group info: LW / ACX / Rationalist meetup group. Monthly, mostly social meetups. Other activities welcome. Unless noted otherwise we will meet at Marienweg 43 in 50858 Cologne on the 2nd Saturday of each month at 5 pm. Please email me to be added to our mailing list where deviations will be posted. Caution! September Meetup will be at a different venue! Notes: If you read this you are welcome. Our Covid rules are still in effect: You must be tested negative on the same day. Self tests will be available at the meetup. If there is any problem, like you do not find us or I did not see your mail, call me +491788862254. FREIBURG IM BREISGAU, GERMANY Contact: Omar, info[at]rationality-freiburg[dot]de Time: Friday, October 14, 6:00 PM Location: FlexRooms, Salzstr. 1, 79098 Freiburg. We will carry a cardboard sign saying “Rationality Freiburg”. Coordinates: 8FV9XVV2+V56 Event link(s): LessWrong, Meetup.com, Website Group info: The group started in May 2022 and before the summer break we had five meetups with 4-11 people attending. Every two weeks seems like a good rhythm, but nothing is set in stone. So far we always read something beforehand and then discussed it, as well as trying some practical exercises such as TAPs and Personal Calibration. Afterwards we went to have dinner and continued talking about everything and anything for hours. Everything is new and flexible, so come and help us improve! Notes: We have a Signal messenger group and ask you to attend a meetup once to be able to join. HAMBURG, GERMANY Contact: Gunnar Zarncke, g[dot]zarncke[at]gmail[dot]com Time: Saturday, September 17, 5:00 PM Location: Kleine Wallanlagen on the lawn near Memorial Holstenglacis. Look for pink blankets; I will also have an ACX sign. Here is an Open Street Map link which also shows the short-cut tunnel from the subway station. Coordinates: 9F5FHX4H+RXC Event link(s): LessWrongLessWrong Notes: Please RSVP on LessWrong KARLSRUHE, GERMANY Contact: Marcus Wilhelm, mail[at]marcuswilhelm[dot]de Time: Saturday, September 24, 3:00 PM Location: Botanischer Garten Karlsruhe Coordinates: 8FXC2C72+85X Event link(s): LessWrong Group info: We meet weekly, alternating offline and online, see our LessWrong page KASSEL, HESSEN, GERMANY Contact: Tobias, Sphinxfire[at]outlook[dot]de Time: Saturday, September 10, 2:00 PM Location: Friedrichsplatz, to the left of the DocumentaHall Coordinates: 9F3F8F6X+R6 Event link(s): LessWrong Group info: Telegram group Notes: Please join the Telegram group if you are interested in coming. It will be helpful for coordinating something beyond 'let's just see who shows up and take it from there', plus, it will also make me feel a lot better on a purely subjective level if I know beforehand that at least one other person is interested. If you prefer the surprise factor of 'knowing as little as possible about who you're going to meet', you can also just write me via E-mail, of course. LEIPZIG, GERMANY Contact: Gunther Forderung, notavailable[at]riseup[dot]net Time: Tuesday, October 4, 6:00 PM Location: In the Lene-Voigt-Park, in the secluded area opposite of the swings Coordinates: 9F3J8CM2+PF Event link(s): LessWrong TÜBINGEN, GERMANY Contact: Emma, emma[dot]tuebingen[at]gmail[dot]com Time: Sunday, October 23, 6:00 PM Location: The ACX/SSC meetup and dinner (with vegan options) will be on October 23rd at the Annette Kade dormitory (Mohlstraße 44, 8FWFG3H5+XR). If you’d like to attend, please write me an email, and I’ll send you an invitation to our WhatsApp group. Coordinates: 8FWFG3H5+XR Event link(s): LessWrong Notes: Please email me to get my phone number. If a lot of people are out of town for the holidays and can't come we could meet on, say, October 1st. I would like to know how many people to expect. ATHENS, GREECE Contact: Spyros, spyros[dot]dovas[at]gmail[dot]com Time: Monday, September 5, 7:00 PM Location: On the plaza in front of the National Library Coordinates: 8G95WMQR+WRP Event link(s): LessWrong, Meetup.com Group info: We have organized 2 events so far, fall and spring, we just sit around and discuss. We have a Whatsapp group that hasn't picked up momentum yet. Notes: Please RSVP on LessWrong or Meetup.com BUDAPEST, HUNGARY Contact: Tim Underwood, timunderwood9[at]gmail[dot]com, WhatsApp 19513120591 Time: Sunday, September 11, 2:00 PM Location: Champs Sziget bar on Margit Sziget, near the front. I'll have a big hardcover copy in Hungarian of a book by Richard Dawkins. Coordinates: 8FVXG2CW+2H Event link(s): LessWrong Group info: We've been meeting in Budapest for two years now, with our first meeting being the 2020 ACX meetups everywhere. We meet about once a month, and usually we have two articles that are suggested reading that we discuss. CORK, IRELAND Contact: Mikey, Godojhana[at]gmail[dot]com Time: Thursday, September 29, 6:00 PM Location: If sunny: The Lough. If not, then the game arcade on the parade Coordinates: 9C3HVGQ7+JQ Event link(s): LessWrong DUBLIN, IRELAND Contact: Lucius, lucius[at]bushnaq[dot]de, LessWrong profile Time: Sunday, October 2, 12:30 PM Location: Clement & Pekoe, William Street South, Dublin 2. We'll be sitting inside, and there'll be a sign with ACX written on it on the table Coordinates: 9C5M8PRP+JV Event link(s): LessWrong Group info: LessWrong FOLIGNO, ITALY Contact: Mauro, orfino[at]yandex[dot]com, LW profile, Telegram Time: Saturday, September 24, 5:00 PM Location: Parco dei Canapé, at the open air cafe, ask the barista Coordinates: 8FJJXP22+HC Event link(s): LessWrong Notes: Please RSVP on LessWrong so I know how much food to get. No kids please. MILANO, ITALY Contact: Raffaele, raffa[dot]mauro[at]gmail[dot]com Time: Friday, September 16, 6:30 PM Location: Viale Luigi Majno, 18, 20129 Milano MI - Primo Ventures / T8P, IInd floor. Coordinates: 8FQFF6C4+9C Event link(s): LessWrong Group info: We meet once per month. The group started in May 2022. Notes: Please RSVP by email by the 1st of September PADOVA, ITALY Contact: Carlo, carlo[dot]martinucci[at]gmail[dot]com Time: Saturday, October 1, 3:30 PM Location: Prato della Valle, fountain in the middle. I'll be carrying a sign with ACX MEETUP on it :) Coordinates: 8FQH9VXG+9J Event link(s): LessWrong Notes: We'll probably find a bar to have a hot chocolate or tea or something :) PISA, ITALY Contact: Raffaele, raffaelesalvia[at]alice[dot]it Time: Saturday, October 22, 5:00 PM Location: We will meet in Piazza dei Cavalieri, near the steps of Palazzo della Carovana Coordinates: 8FMGPC92+R44 Event link(s): LessWrong ROMA, ITALY Contact: Grigorio, greghero12[at]gmail[dot]com, Facebook, +393920366026 Time: Saturday, October 8, 6:00 PM Location: We'll be around Gardenie metro station, at the benches, and I will be wearing a red shirt and sitting on top of the station to be seen Coordinates: 8FHJVHP9+8F Event link(s): LessWrong Group info: We meet around 20-25 times a year but it is asymmetrical, focused in summer, Christmas and Easter. We discuss opinions, engage in circling, play games where we spot logical fallacies and biases by attacking our members ideological weakpoints and formalize some debating stances. Occasionally we find the willpower to devote meetups in steelmanning and understanding the outgroup (roughly 4-5 times a year) Notes: If you are into ACX enough to see this post, I believe we have enough common ground to be worth meeting each other. Aren't you curious who else is within this niche community in Rome? Come on, take a leap of faith. P.S. Would be nice if you sent me a message in WhatsApp with your name and probability of attendance, but I love walk-ins just fine. No space limit after all ;-) RIGA, LATVIA Contact: Andis, cerulean[dot]lemniscate[at]protonmail[dot]com Time: Saturday, September 17, 4:00 PM Location: Bastejkalns (on top of the hill) Coordinates: 9G86X426+Q5Q Event link(s): LessWrong AMSTERDAM, NETHERLANDS Contact: Pierre, pierreavdb[at]gmail[dot]com Time: Saturday, September 10, 3:00 PM Location: Kanarie Klub (Bellamyplein 51, 1053 AT Amsterdam) Coordinates: 9F469V89+W4 Event link(s): LessWrong Group info: The rationality community is growing in the Netherlands, and we're now planning on having monthly meetups! Join the Rationality NL Discord server. Notes: Please RSVP on LessWrong so I can plan a different venue if needed DELFT, NETHERLANDS Contact: Pierre Bongrand, bongrand[dot]pierre[at]gmail[dot]com, 0033620644013 (Whatsapp/Telegram/Signal) Time: Thursday, September 22, 6:30 PM Location: Delftse Hout Beach, on the grass, in the center of the beach, I will be wearing a red T-shirt and carrying a sign with ACX MEETUP on it. Coordinates: 9F4629FG+66 Event link(s): LessWrong HATTEM, NETHERLANDS Contact: Shoshannah, shos[dot]rationality[at]gmail[dot]com, Discord: Dark#0849 Time: Saturday, October 8, 2:00 PM Location: Lijsterbeslaan 6, Hattem Coordinates: 9F48F378+PR Event link(s): LessWrong, Facebook event Group info: We support and coordinate groups across the country, including everything from social meetups to structured events and applied rationality. The intention is to connect all Dutch rationalists and rationalists in the Netherlands. We also discuss rationality topics online and coordinate events on our Discord server. Notes: Feel free to bring kids. Ours will be there :) Also, please park 't Heem if you are coming by car. It's a 2 minute walk to our house. HELMOND, NETHERLANDS Contact: Rutger, silvery[dot]swift[at]protonmail[dot]com Time: Saturday, September 17, 3:00 PM Location: De Motte (On top of the hill). Nearest road is Palladio. Coordinates: 9F37FMC5+VR Event link(s): LessWrong THE HAGUE, NETHERLANDS Contact: Kristof Redei, acxmeetup[at]kristof[dot]me Time: Wednesday, September 14, 6:00 PM Location: Paleistuin, Prinsessewal, 2513 EE Den Haag, Netherlands. We'll have a picnic blanket with an ACX sign on the large central field, somewhere near the playground. Coordinates: 9F4638J3+GP Event link(s): LessWrong, Facebook event Notes: Please RSVP on Facebook if possible! All ages/species welcome. If it's not outdoor weather, we'll go to The Bookstor Cafe next door as a backup. OSLO, NORWAY Contact: Hans Andreas & Jonas, acxoslomeetup[at]gmail[dot]com Time: Saturday, September 17, 1:00 PM Location: Look for the sign of Moloch at Café Billabong - Bogstadveien 53B 0366 Oslo Coordinates: 9FFGWPH7+QP Event link(s): LessWrong, Meetup.com Group info: We're hoping to do at least a quarterly meetup, but we'll base it on the turnout and enthusiasm of this event. Notes: The cafe has historically been accepting of guests' not ordering--please don't let financial reasons keep you away! GDAŃSK, POLAND Contact: Frank, frankastralcodexten[at]gmail[dot]com, Discord: frhrpr#1663 Time: Saturday, August 27, 3:00 PM Location: Next to Park Kuźniczki, opposite the train station, on the circular benches around the water pump; I will be wearing a red armband Coordinates: 9F6W9JJ4+JW Event link(s): LessWrong KRAKÓW, POLAND Contact: Mateusz Bagiński, bagginsmatthew[at]gmail[dot]com Time: Saturday, September 17, 2:30 PM Location: Celna 6/9, the office of the Optimum Pareto Foundation Coordinates: 9F2X2WVX+V2 Event link(s): LessWrong, Facebook event Group info: We meet every month, here is our Facebook group. LUBLIN, POLAND Contact: Piotr, piotrekzlublina[at]gmail[dot]com Time: Saturday, September 17, 5:00 PM Location: Między Słowami cafe, Rybna 4, Lublin Coordinates: 9G346HX8+FX Event link(s): LessWrong POZNAŃ, POLAND Contact: Ofelia Kerr, ofel[dot]kerr[at]gmail[dot]com, Discord: ofelia#0001 Time: Saturday, October 8, 6:00 PM Location: Van Gogh Pub, Żydowska 12, 61-761. I'll most likely be on the ground floor and I'll have an ACX sign. Coordinates: 9F4RCW5P+X3F Event link(s): LessWrong WARSAW, POLAND Contact: Michał, rationalwarsaw[at]gmail[dot]com Time: Sunday, September 4, 6:00 PM Location: Południk Zero, Wilcza 25 Coordinates: 9G4362G8+2V Event link(s): LessWrong, Meetup.com Group info: The community of Warsaw LessWrong/SSC/ACX/etc. readers is active for over 8 years now. We're trying to organise regular monthly meetups. You can join our Facebook group or Meetup.com. LISBOA, PORTUGAL Contact: Luís Campos, luis[dot]filipe[dot]lcampos[at]gmail[dot]com Time: Saturday, September 10, 3:00 PM Location: Jardim Amália Rodrigues, close to Linha d'Água cafe, in the top of a hill, below a bunch of trees Coordinates: 8CCGPRJW+V8 Event link(s): LessWrong Group info: We've been meeting every month for around 1 year. Get in contact if you want to participate in the WhatsApp group. :) BUCHAREST, ROMANIA Contact: Tony, skyrimtracer[at]gmail[dot]com Time: Sunday, October 16, 3:00 PM Location: Plaza România Mall, Bd. Timișoara 26 - food court Coordinates: 8GP8C2HM+9X Event link(s): LessWrong Notes: Please RSVP by email CLUJ-NAPOCA, ROMANIA Contact: Marius Pop, pop[dot]marius[at]gmail[dot]com Time: Saturday, September 3, 11:00 AM Location: Deva Host, Strada Deva 1-7 Coordinates: 8GR5QH8F+MW Event link(s): LessWrong BELGRADE, SERBIA Contact: Ivica Bogosavljevic, ibogosavljevic[at]gmail[dot]com, Viber +381 65 3473 433 Time: Monday, September 12, 6:00 PM Location: Pool Cafe on Prve pruge Coordinates: 8GP2RCP7+G7 Event link(s): LessWrong Notes: Please RSVP on my Viber number, so I know how big the room we need. BRATISLAVA, SLOVAKIA Contact: Viliam, viliam[at]bur[dot]sk Time: Saturday, September 10, 3:00 PM Location: Medická záhrada, by the fountain Coordinates: 8FWV44X9+XW8 Event link(s): LessWrong Notes: I will post an announcement on LessWrong later. In case of rain, a new meeting place nearby will be announced there. LJUBLJANA, SLOVENIA Contact: Demjan Vester, demjan[dot]vester[at]gmail[dot]com Time: Wednesday, September 14, 6:00 PM Location: Probably Lili Novy bar, near modern gallery and park Tivoli Coordinates: 8FRP3F3X+6V Event link(s): LessWrong, Meetup.com Group info: We meet about 0.7 times a month. Notes: Please RSVP because last time we just barely got a place big enough. BARCELONA, SPAIN Contact: Alfonso, alfonso[dot]martinez[at]upf[dot]edu, WhatsApp +34693846738 Time: Sunday, October 2, 5:30 PM Location: Parc de la Ciutadella, by the Lion Catcher statue; I'll have an ACX sign Coordinates: 8FH495QP+96 Event link(s): LessWrong Notes: The idea is to sit on the grass; bring a foulard along for your comfort, or a foldable chair if preferred. Don't worry about the language: English, Spanish, Catalan, we'll find a way. MADRID, SPAIN Contact: Jaime, jaimesevillamolina[at]gmail[dot]com Time: Saturday, September 10, 5:00 PM Location: Teatro de títeres del Parque del Retiro. We'll be on the stands with an ACX sign Coordinates: 8CGRC897+F8C Event link(s): LessWrong Group info: We are an EA / rationality group, we've been active for around 5 years but have less in-person activity since the pandemic started. We have a WhatsApp group and a channel in the Spanish-speaking EA Slack. SEVILLA, SPAIN Contact: Edu, edur[dot]acx[at]gmail[dot]com Time: Saturday, September 10, 8:00 PM Location: Parque de María Luisa. I'll be on the grass behind the Museum of Popular Arts and Traditions. I'll be the guy next to an ACX sign, a white wooden chair, and a cardboard ukulele with a tiny cardboard hat on it. Coordinates: 8C9P92F6+3RG Event link(s): LessWrong GOTHENBURG, SWEDEN Contact: Joacim, joacimj[at]gmail[dot]com Time: Saturday, September 24, 3:00 PM Location: Condeco Fredsgatan. I'll have a stack of three books on my table. Coordinates: 9F9HPX4C+39G Event link(s): LessWrong, Facebook event STOCKHOLM, SWEDEN Contact: Sal, niktonick[at]gmail[dot]com, Telegram Time: Sunday, September 25, 3:00 PM Location: Humlegården, Karlavägen. We will meet near blue gazebo, I will have 'ACX meetup' sign. Coordinates: 9FFW83RF+3M5 Group info: Facebook group BERN, SWITZERLAND Contact: Daniel, dd14214+acx[at]gmail[dot]com Time: Sunday, October 2, 4:00 PM Location: Grosse Schanze, at the statue in front of the main uni building, heading to the Pittaria if it's cold or raining Coordinates: 8FR9XC2Q+4G Event link(s): LessWrong GENEVA, SWITZERLAND Contact: Eric, eric[dot]c[dot]p[dot]meier[at]gmail[dot]com Time: Sunday, September 11, 4:00 PM Location: Park de la Grange, just towards the lake below Villa de la grange Coordinates: 8FR86548+J4 Event link(s): LessWrong Group info: We have a small persistent group who has tried to meet up once a month since last years Meetup. Notes: Feel free to bring other people you think would be interested! ZURICH, SWITZERLAND Contact: MB, acxzurich[at]proton[dot]me Time: Saturday, September 24, 3:00 PM Location: TBD Event link(s): LessWrong ISTANBUL, TURKEY Contact: J, jinai[dot]jyap[at]gmail[dot]com Time: Sunday, September 25, 4:00 PM Location: The House Cafe in Ortaköy. I am a young Asian woman and imagine I'll be easy to spot, but will also try to bring a sign with ACX MEETUP on it. Coordinates: 8GHF22XG+23P Event link(s): LessWrong, Partiful Group info: I do not live here; I am just digital nomading for an indefinite amount of time and would like to meet anyone who's here! Notes: Please RSVP via the Partiful link (you can RSVP as a Maybe)! BIRMINGHAM, UK Contact: Thomas Read, thomas[dot]read[dot]acx[at]gmail[dot]com Time: Saturday, September 3, 1:00 PM Location: We'll be at The Wellington, 37 Bennetts Hill, on the roof terrace if possible. I'll wear an orange shirt and have a sign saying ACX on the table. Coordinates: 9C4WF3JX+7Q Event link(s): LessWrong Notes: It's only a few minutes walk from the stations, so hopefully people can join from all over the West Midlands! BRIGHTON, UK Contact: Alan Enright, alanenright[at]protonmail[dot]com Time: Saturday, September 10, 11:00 AM Location: We'll be at the Alcampo Lounge on London Road—we will try and get a table on the raised area in front of you and to the left as you come in but will also have a little ACX sign. Coordinates: 9C2XRVM6+3X Event link(s): LessWrong, Meetup.com BRISTOL, UK Contact: Nick Lowry, bristoleffectivealtruism[at]gmail[dot]com Time: Saturday, September 24, 2:00 PM Location: We’ll be meeting at entrance closet to Tesco Express in the Galleries, Bristol City Centre Coordinates: 9C3VFC45+RJM Event link(s): LessWrong, Facebook event, Meetup.com Group info: Meet twice monthly for socials, more regular 'productive' meetups. Been active for 3+ years, please message for WhatsApp group CAMBRIDGE, UK Contact: Hamish Todd, hamish[dot]todd1[at]gmail[dot]com Time: Saturday, September 17, 2:00 PM Location: Bath House Pub, UPSTAIRS!! I will have a copy of Peter Singer's The Most Good You Can Do Coordinates: 9F426439+J9 Event link(s): LessWrong, Facebook event Group info: We meet on the third Saturday of every month. The group has been around almost a year and is well-attended! Notes: My phone/WhatsApp number is +44 0730 *** 3550, where the *** are replaced by the serial number of the Boeing plane whose first flight was on September 2, 1998. Email me to get on the mailing list for future events if you'd like that :) CARDIFF, WALES Contact: AF, strmnova[at]gmail[dot]com Time: Friday, September 16, 5:00 PM Location: Little Man Coffee (note new location!) Coordinates: 9C3RFRHH+W2 Event link(s): LessWrong EDINBURGH, SCOTLAND, UK Contact: Sam, acxedinburgh[at]gmail[dot]com Time: Saturday, September 24, 2:00 PM Location: Pleasance Cafe. Go through the arch and the door to the cafe is on your left Coordinates: 9C7RWRW9+M8 Group info: ~Monthly meetups, often in Pleasance Cafe but have experimented with other locations. Email me to join the mailing list & WhatsApp group. LANCASTER, UK Contact: Gruffydd Gozali, gruffyddgozali[at]gmail[dot]com Time: Saturday, October 15, 3:00 PM Location: Lancaster University Library, will be on the ground floor by the tree wearing an EA shirt. Coordinates: 9C6V2657+WJR Event link(s): LessWrong LINCOLN, UK Contact: Tobias, tobias[dot]showan[at]yahoo[dot]co[dot]uk Time: Saturday, September 10, 2:00 PM Location: Nosey Parker pub, I'll bring a little paper ACX sign. Coordinates: 9C5X6C9R+XJ Event link(s): LessWrong LONDON, UK Contact: Edward Saperia, edsaperia[at]gmail[dot]com Time: Sunday, September 25, 2:00 PM Location: Newspeak House Coordinates: 9C3XGWGH+3F7 Event link(s): LessWrong, Facebook event, Meetup.com, Eventbrite Group info: You can join our mailing list or our Meetup.com group MANCHESTER, UK Contact: Matthew Gibson, melkartmtg[at]hotmail[dot]com Time: Sunday, September 18, 11:00 AM Location: Sackville Gardens, Alan Turing Memorial Coordinates: 9C5VFQG7+MH Event link(s): LessWrong NEWCASTLE UPON TYNE, UK Contact: Joshua William, iamjoshwilliam[at]icloud[dot]com, Telegram Time: Saturday, September 3, 12:30 PM Location: Trinity Square, High Street Gosforth. You can get the bus to Gosforth from the city center just outside the famous 'Tyneside Cinema' (bus number: 30, 31, or 35 at Monument Pilgrim Street bus stop), or you can take a walk if you want to get your 'steps' in (if you'd like to do the latter, send me an email and I'll send you the directions), which takes ~60-min. Coordinates: 9C7W294H+5V Event link(s): LessWrong Group info: To my knowledge, there isn't an ACX meet up in this city, or region of the UK, though if there is a demand for a reoccurrence, I'd be happy to keep facilitating such. I'd also happily formulate a WhatsApp group if theres interest, after the meet up. Notes: We have a deli, '1901 cafe', on the square, which we can grab an immediate bite to eat at [so save some hunger if you'd like to do that]. There's a safe [and lovely] park with some benches just by the way, which, if the weather is nice, we can sit at after a bite to eat, or, otherwise, we can remain in the cafe. OXFORD, UK Contact: Sam, ssc[at]sambrown[dot]eu, There's a Signal group people can join :) contact Sam for info Time: Wednesday, October 19, 6:30 PM Location: The Star, Rectory Road, Oxford. We'll be in the beer garden round the back, with a sign ?? Coordinates: 9C3WPQX6+QP9 Event link(s): LessWrong, Facebook event, Meetup.com Group info: We run socials every months, and applied rationality workshops from time to time! Notes: Please RSVP on any of the platforms (or email) for free pizza PENRYN, CORNWALL, UK Contact: mini t, tminns[at]btinternet[dot]com Time: Saturday, August 27, 3:00 PM Location: glasney playing field and valley Coordinates: 9C2P5V8V+P9 Event link(s): LessWrong Notes: I don't mind rescheduling, or organizing another event, not many people are likely to turn up this far out of the way.

Open Thread 243

September 26, 2022 · Original source

4: ACX meetups update: this week we have Tallinn on Monday, Tanzania on Thursday, Princeton + Irvine on Saturday, and Berlin + Dublin + Barcelona + Denver on Sunday - plus many more. And if you went to a meetup, Mingyuan would like to hear how it went - especially from organizers, but attendees can respond too. You can send her this form.

Inline links: many more, this form

October 18, 2022 · Original source

"The Eiffel Tower is in France" seems (in my personal judgment) like the sort of fact that early AI pioneers could and did represent within GOFAI systems. GPT-J probably does more with that fact - it can for example answer how to get to the Eiffel Tower from Berlin, believing that the Eiffel Tower is in Rome. But the paper didn't offer neural transparency into how GPT-J gives directions, we don't know the stored patterns for answering that part - just a neural representation of the brute idea that GOFAI pioneers might've represented with in(Eiffel-Tower, Rome).

Spring Meetups Everywhere 2023

April 10, 2023 · Original source

BERLIN, GERMANY Contact: Christian Kleineidam Contact Info: christian[dot]rationality[at]gmail[dot]com Time: Saturday, April 15th, 04:00 PM Location: Turmstr. 10, 10559 Berlin Moabit Coordinates: https://plus.codes/9F4MG9G2+JG Event Link: https://www.meetup.com/lesswrong-rationality-waitbutwhy-slatestarcodex-berlin/events/292739359/

Inline links: https://plus.codes/9F4MG9G2+JG, https://www.meetup.com/lesswrong-rationality-waitbutwhy-slatestarcodex-berlin/events/292739359/

More Memorable Passages From "The Man Without A Face"

August 04, 2023 · Original source

In May 1991, Salye, in her capacity as chairwoman of the Leningrad City Council’s committee on food supplies, traveled to Berlin to sign contracts for the importing of several trainloads of meat and potatoes in Leningrad. Negotiations had more or less been completed: Salye and a trusted colleague from the city administration were really there to sign the papers.

Your Book Review: The Rise and Fall of the Third Reich

August 04, 2023 · Original source

Our guide to Hitler is William L. Shirer. Shirer was an American journalist stationed in Berlin in the years leading up to World War II. He had the opportunity to observe first-hand the Nazi consolidation of power in Germany. In preparation for writing The Rise and Fall of the Third Reich, he supplemented his first-hand experience with an in-depth review of the German confidential papers captured by the Allies at the end of the War. He even corresponded with retired Nazi generals. He gives us a nice combination of eyewitness insight and research.

But though Hitler was not a force in national politics, national politics was still very much a force in Hitler’s life. In 1923, after years of defaulting on post-WWI reparations, the German national government in Berlin had decided to resume these payments under international pressure. This decision sparked outrage from nationalist groups that opposed Germany’s reparations burden on principle (and from communist groups that liked to stir up trouble). The Berlin government, fearing a revolt, declared a state of emergency, gave the army dictatorial powers, and set to work suppressing far-right and far-left parties.

In Bavaria, where the local government was sympathetic to the nationalist parties, including the Nazis, this response went over poorly. Bavaria declared its own state of emergency and named former Bavarian premier Gustav von Kahr as state commissioner with dictatorial powers. Kahr’s governance was backed by the local commander of the military, General Otto von Lossow, and by the head of Bavaria's police, Colonel Hans von Seisser. Kahr, Lossow, and Seisser ignored the orders of the Berlin government, operating as if Bavaria were an independent territory.

Meetups Everywhere 2023: Times & Places

August 25, 2023 · Original source

BERLIN, GERMANY Contact: Milli Contact Info: acx-meetups[at]martinmilbradt[dot]de Time: Saturday, September 16th, 2:00 PM Location: Center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Group Link: https://www.lesswrong.com/groups/MGAtkuYmX3hZ6eeaw

Inline links: https://plus.codes/9F4MG9WP+36, https://www.lesswrong.com/groups/MGAtkuYmX3hZ6eeaw

Scott will provisionally be attending the meetup in Berkeley. ACX meetups coordinator Skyler will provisionally be attending Boston, Cavendish, Burlington, Berlin, Bremen, Amsterdam, Cardiff, London, and Berkeley. Some of the biggest ones might be announced on the blog, regardless of whether or not Scott or Skyler attends.

Open Thread 293

September 11, 2023 · Original source

1: New meetups have been registered in Canterbury, UK and Tallinn, Estonia. Meetups scheduled for the coming week include Los Angeles, Ottawa, Milano, Lisbon, Moscow, Edinburgh, Montreal, Waterloo, San Francisco, Atlanta, Ann Arbor, Rio de Janeiro, Cape Town, Auckland, Berlin, Denver, Istanbul, and many more! As always, check the meetups list for details.

Inline links: check the meetups list for details

Open Thread 312

January 22, 2024 · Original source

1: Corrections on links: the pro-Palestine slogan “from the river to the sea” was banned only in Berlin, not all of Germany, and has since been unbanned. And our resident Genealogian critiques the claimed line of descent from Odin to Joe Biden.

Inline links: links, only in Berlin, unbanned, critiques the claimed line of descent from Odin to Joe Biden

Spring Meetups Everywhere 2024

March 30, 2024 · Original source

BERLIN, GERMANY Contact: Milli Contact Info: acx-meetups[at]martinmilbradt[dot]de Time: Sunday, May 26th, 2:00 PM Location: Big lawn at the center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Event Link: https://www.lesswrong.com/events/A4ZYjHFnvMkifTxzf/berlin-acx-meetups-everywhere-spring-2024 Group Link: https://www.lesswrong.com/groups/MGAtkuYmX3hZ6eeaw

Inline links: https://plus.codes/9F4MG9WP+36, https://www.lesswrong.com/events/A4ZYjHFnvMkifTxzf/berlin-acx-meetups-everywhere-spring-2024, https://www.lesswrong.com/groups/MGAtkuYmX3hZ6eeaw

Open Thread 330

May 20, 2024 · Original source

1: More meetups this week, including Austin, Bangalore, and Berlin. See the meetups list for more information.

Inline links: the meetups list

Open Thread 338

July 15, 2024 · Original source

1: The European branch of our conspiracy is hosting a Community Weekend just outside Berlin, September 13-16, expected attendance ~250. See here for more information and see here to apply, base price €250 but discounts available.

Inline links: See here for more information, see here to apply

Meetups Everywhere 2024: Times & Places

August 29, 2024 · Original source

Contact: Martin Schmidt Contact Info: acx[at]enc0[dot]com Time: Saturday, September 28th, 07:00 PM Location: Cafe Papillon, probably near the entrance, will bring ACX sign Coordinates: https://plus.codes/9F28Q3JH+8G Group Link: https://t.me/+IiFfbpWDWm1kOGQ6 BERLIN, GERMANY Contact: Milli and Dominik Contact Info: acx-meetups[at]martinmilbradt[d ot]de Time: Saturday, September 07th, 02:00 PM Location: Big lawn at the center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Group Link: https://t.me/+_50JIXMIFYc1NTRi

Inline links: https://plus.codes/9F28Q3JH+8G, https://t.me/+IiFfbpWDWm1kOGQ6, https://plus.codes/9F4MG9WP+36, https://t.me/+_50JIXMIFYc1NTRi

Book Review: From Bauhaus To Our House

December 04, 2024 · Original source

In fact, here was the great appeal of socialism to architects in the 1920s. Socialism was the political answer, the great yea-saying, to the seemingly outrageous and impossible claims of the compound architect, who insisted that the client keep his mouth shut. Under socialism, the client was the worker. Alas, the poor devil was only just now rising up out of the ooze. In the meantime, the architect, the artist, and the intellectual would arrange his life for him. To use Stalin’s phrase, they would be the engineers of his soul. In his apartment blocks in Berlin for employees of the Siemens factory, the soul engineer Gropius decided that the workers should be spared high ceilings and wide hallways, too, along with all of the various outmoded objects and decorations. High ceilings and wide hallways and "spaciousness" in all forms were merely more bourgeois grandiosity, expressed in voids rather than solids. Seven-foot ceilings and thirty-six-inch-wide hallways were about right for . . . re-creating the world.

Meetups Everywhere Spring 2025: Times & Places

March 25, 2025 · Original source

(Anmerkung der Meetup-Leiterin: Es gibt ein deutschsprachiges Treffen in Bremerhaven, aus dem sich möglicherweise regelmäßige deutschsprachige Gruppentreffen in verschiedenen Städten entwickeln.) BERLIN Contact: Milli Contact Info: acx[a t]martinmilbradt[period]de Time: Sunday, May 11th, 2:00 PM Location: Big lawn at the center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Group Link: https://t.me/+2-6Q [remove this part] Id-rIOczNWIy

Inline links: https://plus.codes/9F4MG9WP+36

Open Thread 380

May 05, 2025 · Original source

1: ACX meetups this week in Cape Town, Waterloo, Tokyo, Amsterdam, Berlin, Seattle, Boston, and San Diego. See the post for details.

Inline links: the post

Your Review: Alpha School

June 27, 2025 · Original source

Take 10% off your time to run a mile Workshops in the afternoons are the “fun” part of school. They are the equivalent of the music, theater and art classes that fill in a traditional school schedule (just more focused, measurable and creative). The check charts both exist to fill in the gaps on important things that are missing from the academic program (like public speaking and typing) and to teach the students the importance of agency – there is no one standing over them with deadlines on the check chart. They just won’t move on to the next level with their friends if they don’t get everything on the list done. All of these elements are held together by the thing that the PR program does not mention – the thing that, when most parents hear about it, they recoil in horror: Incentives (aka, bribes) Part Four: How Alpha Works (Part 2): Incentives People REALLY don’t like the idea of incentivizing kids to learn. Roland Fryer, who has done extensive work on what works in incentivizing students, quotes a 2010 Gallup poll that found that only 23% of American parents support the “idea of school districts paying small amount of money to students to, for example, read books, attend school or to get good grades” (76% opposed the idea with only 1% undecided). There are not many things that 76% of Americans agree on. Only 69% of Americans believe another Civil War would be a bad thing. Only 78% agree that American independence from Britain was the right choice. People REALLY don’t like paying kids to read books. So what do these parents think we should do instead? Mostly they believe that kids should just be “intrinsically motivated” and school should be about inspiring that internal motivation. Their concern is that if we provide external motivation for learning it will crowd out internal motivation. They worry that when the external motivation goes away (no one is going to pay a 30-year-old to read books), there is no internal motivation to keep learning happening. In this model “education” is not about educating per se, or even about teaching habits, it is about inspiring character. The other option is that rather than use the carrot, you could use the stick. Fryer shares another poll from 2008 where 26% of parents think grade-school teachers should be allowed to spank kids (35% in the Southern US states!). As Fryer summarizes: “The concept of paying students in school is less palatable than the concept of spanking students in school”. I am less interested in the philosophy of “what is right” and more interested in “what works”. If bribing kids gets them to learn more while they are kids that seems good. If it causes them long term motivation issues, that seems bad. My instinct is to try and quantify both effects and then understand what the trade-off is to make a decision on what we should do (and my ingoing hypothesis is that it likely depends on the kid, so you need a big enough “n” to distinguish different types of kids). Fryer is the leading researcher in this field, at least in the short term impact of these programs. This paper has a nice summary of his studies where he finds that providing direct monetary incentives to kids works to drive behavior if that behavior is easy for the kid to understand and execute on. When he paid kids $2 for each book they read, they read a lot more books (+40%). When he paid kids to show up to class and not be late, tardiness dropped 22% versus the control group. But when he tried targeting the end goal and paying students more for higher test scores he saw no effect. Tell a kid to read a book or show up on time and they know what they need to do to get the money. Tell them to get higher scores on tests and, while they have a rough idea how to do that (pay more attention in class, study longer and more efficiently), the actual things they need to do are not entirely clear and the inputs they put in (studying) are not directly tied to the outputs (test scores) – and the incentives have no impact. As far as I know Fryer has not done any super-long-term studies of the impact of his experiments, but he did look at the mid-term effects. After the “read books for $$s” study ended he followed the test and control group for what happened to their reading habits when they were not getting paid. He found, in contradiction to concerns about loss of internal motivation, that the test group continued to read more than the control group. When we pay kids to take on new habits, the habits tend to stick after the incentives go away. Is this that different from incentivizing your kids to eat their vegetables and then rewarding them with dessert? The hope is that they will build the habit of eating vegetables and will eat them without external rewards when they are older and understand the value of the habit you have built for them as children. None of this should not be too surprising for people who have read Anders Ericsson’s work on building expertise. Ericsson is most famous for being the source of Malcolm Gladwell’s “10,000 hours of practice to become an expert” meme. Ericsson was not impressed by Gladwell’s simplification of his findings and he wrote an excellent book detailing what his findings really meant. That book describes the study Gladwell used to get to 10,000 hours. At the elite music school in Berlin, the Hochschule für Musik, Ericsson sorted students into three groups by ability: future soloists, future orchestra professionals, and future teachers. He found that the three groups did not differ systematically in most characteristics. As groups they had the same IQs, the same age of starting music, and the same quality and quantity of instruction. The only measurable difference he found between the groups was the number of lifetime hours they had committed to “deliberate practice”. From age eight onward the future soloists logged almost three times more practice hours per week than the future teachers. On average the soloists had clocked in 10,000 hours of practice by the time they started at their elite music college. That was where Gladwell got his 10,000 hour rule. (One of Ericsson’s problems with Gladwell’s simplification is that he saw nothing special about 10,000 hours. There was a significant range among the elite students – 10,000 was just the average; Also the elite students were still just ‘students’ and while they were on track to become world class, none of them were world class yet. Ericsson estimates that would take another ten years of practice putting most of their total practice time to achieve world class performance well over 20,000 hours) Ericsson’s next question was WHY did some students practice more than others? All of these kids wanted to be great musicians and have careers as musicians and all had dedicated large parts of their life to the craft, so why did some choose to practice more than others? His initial hypothesis is that some people just enjoyed practicing more than others. He dismissed the idea that some kids were just more talented than others, and replaced it with some kids, whether for genetic or environmental reasons, were just more “into practice” than others. But when he questioned the students he found that was not true at all. The future elite soloists of the music world all hated practicing. And so did everyone else. All of the musicians at the school did not like the process of practicing. They enjoyed playing. They enjoyed being good musicians. They just hated the process of practicing to get good. So why did they do it? Because they wanted to be great musicians and they knew that they needed to practice to become great musicians. According to Ericsson, the key to being great is deliberate practice. The key to deliberate practice is motivation. Ericsson dug further to figure out where the motivation came from and he found it grew over three stages: Parental and authority approval: Initially kids practice because they are given praise and attention from their parents when they do so, and are reprimanded when they don’t. He gives examples of mom saying “if you don’t practice an hour per day on piano I am going to stop paying for your music instructor”.

Inline links: quotes a 2010 Gallup poll, 69% of Americans believe another Civil War, 78% agree that American independence from Britain, excellent book

Meetups Everywhere 2025: Times and Places

August 29, 2025 · Original source

Contact: Martin Contact Info: acx[at]enc0[dot]com Time: Friday, October 10, 06:00 PM Location: Papillon, usually on the top, I'll bring a sign Coordinates: https://plus.codes/9F28Q3JH+8G Group Link: https://t.me/+QeSVhF1cIggzZDgy BERLIN Contact: Milli Contact Info: acx-meetups[a t]martinmilbradt[period]de Time: Saturday, October 11th, 2:00 PM Location: Big lawn at the center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Group Link: https://t.me/+2-6QId-rIOczNWIy

Inline links: https://t.me/+QeSVhF1cIggzZDgy, https://plus.codes/9F4MG9WP+36, https://t.me/+2-6QId-rIOczNWIy

Open Thread 402

October 06, 2025 · Original source

1: Meetups this week include Austin, Berlin, Canberra, Jakarta, Salt Lake City, Tel Aviv, and others - see the meetup post for more information.

Inline links: the meetup post

Meetups Everywhere Spring 2026: Times & Places

April 01, 2026 · Original source

Contact: Liza Contact Info: lizajibladze1[at]gmail[dot]com Time: Saturday, April 18, 06:00 PM Location: Kiwi vegan cafe Coordinates: https://plus.codes/8HH6MQRX+PX Germany BERLIN Contact: Milli Contact Info: acx-meetups[@]martinmilbradt[.]de Time: Sunday, May 10th, 2:00 PM Location: Big lawn at the center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Group Link: https://t.me/+tVWSc66-0UM5MzA6 Notes: The group link is just for this event. If you want I can add you to the general Rationality Berlin Group on the event.

Inline links: https://plus.codes/8HH6MQRX+PX, https://plus.codes/9F4MG9WP+36, https://t.me/+tVWSc66-0UM5MzA6

Contact: Milli Contact Info: acx-meetups[@]martinmilbradt[.]de Time: Sunday, May 10th, 2:00 PM Location: Big lawn at the center of Humboldthain Coordinates: https://plus.codes/9F4MG9WP+36 Group Link: https://t.me/+tVWSc66-0UM5MzA6 Notes: The group link is just for this event. If you want I can add you to the general Rationality Berlin Group on the event.

Inline links: https://plus.codes/9F4MG9WP+36, https://t.me/+tVWSc66-0UM5MzA6

Astral Codex Ten

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Atlas

Berlin

Berlin

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Astral Codex Ten

Table of Contents

Atlas

Berlin

Berlin

Article

Metadata

Appears In

Related Pages

External Links

Source Context

Backlinks