David Becker has done yeoman work validating Richard Lynn’s datasets to produce the world’s most comprehensive national IQ database. Sole purpose of this post is to make the core data available in easy to access HTML format, as it only currently seems to be available as a zipped Excel file on Becker’s website. So consider this a reference post.

大衛·貝克對理查德·林恩的數據集進行了詳細驗證,從而建立了世界上最全面的國家智商數據庫。這篇文章的唯一目的是將核心數據以易于訪問的HTML格式呈現,因為目前在貝克爾的網站上似乎只有一個壓縮的Excel文件可用。這篇文章僅供參考。

Latest versions are available at the National IQ dataset page on Becker’s blog, with the current version 1.3.3 dating from June 2019.

最新的版本可以在貝克爾博客上的國家智商數據集頁面上找到,目前是2019年6月的1.3.3版。

sexting the five most interesting collections of estimates, a brief explanation of each one, by column:

本文選出五組最有趣的數據,下面對每組進行簡要說明:

NIQ – national IQ, in this case, the average of QNW and SAS (see below); the national IQ of countries without data are estimated as the mean of their neighboring countries. This is probably the single best estimate we have. According to Becker: “QNW+SAS is the best, since it combines weighted estimates of psychometric intelligence measurement with results from international school assessment studies. Therefore, it is a kind of self-validation within this variable.“

NIQ——國民智商分數,在這里指的是QNW和SAS的平均值(見下文);沒有國民智商數據的國家會根據其鄰國數值取平均值。這可能是我們掌握的最好的估計方法。貝克認為:“QNW+SAS是最好的,因為它結合了心理智力測量的加權估計和國際學校評估研究的結果。因此,這個數據是變量中的自我驗證?!?

QNW – last major analysis of David Becker, based on 683 IQ tests from around the world, adjusted for both quality and sample size.

QNW——質量和數量加權的平均國民智商分數,大衛·貝克的最新主要分析,以全球683項智商測試為基礎,根據測試質量和樣本大小進行調整。

SAS – standardized assessment scores (PISA, TIMSS, PIRLS)

SAS ——標準化評估分數(國際學生能力評估計劃, 國際數學和科學研究, 國際閱讀素養進展研究

)
L&V02 – old Lynn & Vanhanen estimates from IQ and the Wealth of Nations (2002), with geographic imputation. This seems to be the most common dataset on the Internet, but it’s also the most outdated/least accurate by now.

L&V02 – 老林恩和范哈寧根據《智商與國民財富》(2002)進行的估算,有地理歸屬。這似乎是互聯網上最常見的數據,但也是目前最過時、最不準確的數據。

L&V12 – upxed Lynn & Vanhanen figures from Intelligence: A Unifying Construct for the Social Sciences (2012), again with geographic imputation.

L&V12 –林恩和范哈寧的新作;《智慧:各社會科學的統一架構》(2012),同樣有地理歸屬。









Important note: Results aren’t super-reliable for individual countries that haven’t done many tests, e.g. most small countries outside the First World. E.g., Belarus’ high score (101.6) is based on one test, whereas in PISA 2018, it was 1.5 points below Russia. Obviously, there are no results from North Korea at all, and the geographic imputation for it is almost certainly inaccurate, given its peculiar status. However, this does not invalidate national IQ measurements, for the same reason that estimates of even something as important and ubiquitous as GDP are not useless even though they are also subject to considerable uncertainty. Main purpose of these datasets is to identify global patterns and provide a powerful explanatory variable for national socio-economic success.

重要提示:對于沒有做過測試的個別國家,例如第一世界以外的大多數小國,測試結果并不十分可靠。例如,白俄羅斯的高分(101.6分)是基于一項測試,而在2018年的國際學生評估項目(PISA)中,白俄羅斯比俄羅斯低1.5分。顯然,沒有任何關于朝鮮的結果,而且鑒于其特殊的地位,其地理歸屬幾乎肯定是不準確的。然而,這并不能證明國家智商的測量是無效的,同樣的原因是,即使對像國民生產總值(GDP)這樣重要而普遍存在的數據進行估算也不是毫無用處的,盡管這個數據存在相當大的不確定性。這些數據的主要目的是確定全球模式,并為國家社會經濟成功提供有力的解釋變量。

Mean world IQ ≈ 86-87, about one standard deviation lower than in the developed OECD countries and China.

全球平均智商約為86-87,比經濟合作發展組織的發達國家和中國低一個標準差。