Timeline for Has there been much research on rating inflation?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Dec 13, 2012 at 2:41 | vote | accept | ETD | ||
| Feb 12, 2013 at 18:09 | |||||
| Dec 11, 2012 at 10:35 | comment | added | Daniel B | @TonyEnnis Sure, and I think that's probably as good as it will get, for now. Specifically, I mean: what happens if the "average club player" today is actually better than 50 years ago? It's not like we can get them to play against players from the past... So we're left with estimating player strength somehow and adjusting. Perhaps with computer programs (run on a standard, prescribed platform), we could have some kind of unbiased, lasting anchor. But even this would have issues, such as the discovery of strategies that work well against the benchmark program, etc. | |
| Dec 10, 2012 at 23:48 | comment | added | Tony Ennis | Possibly. But adjusting ratings to yield a similar distribution curve would probably be a good start. For example, some years ago, the USCF adjusts ratings so the average club player was a 1500. I don't know if they still do that. | |
| Dec 10, 2012 at 15:46 | comment | added | Daniel B | I'd argue that without an actual anchor, it's impossible to accurately adjust; in the end, we're just anecodatally adjusting towards some arbitrary value. | |
| Dec 9, 2012 at 14:09 | history | edited | Tony Ennis | CC BY-SA 3.0 |
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| Dec 9, 2012 at 14:02 | history | edited | Tony Ennis | CC BY-SA 3.0 |
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| Dec 9, 2012 at 13:51 | history | edited | Tony Ennis | CC BY-SA 3.0 |
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| Dec 9, 2012 at 13:37 | comment | added | ETD | I hadn't seen the page from a., thanks for that. Regarding b., I'm unaware of whatever you're referring to; can you elaborate? | |
| Dec 9, 2012 at 13:29 | history | answered | Tony Ennis | CC BY-SA 3.0 |