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Research Article - (2024)Volume 13, Issue 4
Background: The influence of anthropometric characteristics on cognitive function is under-investigated. This study explores the association between penile length and Intelligence Quotient (IQ) in a large, global sample of adult males.
Methods: We conducted a cross-sectional analysis using data from 115,387 men aged 18-65 years across 139 countries. Flaccid penile length and IQ measurements were correlated, adjusting for potential confounders including Gross Domestic Product (GDP) per capita, educational expenditure, daily maximum temperature, and Body Mass Index (BMI). Partial correlation and regression analyses were employed to establish interethnic variations.
Results: A statistically significant negative correlation was observed between flaccid penile length and IQ (p<0.001). Men with shorter penile lengths exhibited higher average IQ scores. Additionally, significant ethnic variations in these correlations were identified (p<0.001).
Interpretation: This study reveals an inverse association between penile length and IQ in a large and diverse male population. The underlying mechanisms, potentially involving genetic, evolutionary, or environmental factors, warrant further investigation. These findings contribute to a more comprehensive understanding of human variation and the complex interplay between physical and cognitive traits. The study encourages interdisciplinary dialogue and paves the way for future research in this domain.
Penile length; Intelligence Quotient (IQ); Global analysis; Adult males; Cross-sectional study
The complex interaction between physical attributes and cognitive functions continues to fascinate the scientific community, highlighting a fundamental question about the evolutionary foundations that might link somatic traits with intellectual capacities [1,2].
This study seeks to further explore this connection by examining the correlation between penile length and Intelligence Quotient (IQ) within a diverse global sample. Utilizing the r-K life history theory as a conceptual framework, our findings suggest that reproductive strategies across species, including humans, vary from r-strategies-characterized by high fertility rates with minimal parental care-to K-strategies-marked by lower fertility rates but increased parental investment [3-5].
Penile length, typically considered within the context of sexual maturity and fertility, also emerges as a potential indicator of broader biological and evolutionary dynamics. This assertion is examined through the disparities in cognitive functions across different racial groups. Extensive research has documented significant variations in penile dimensions: individuals of African descent often have larger measurements, while those of Caucasian descent show intermediate sizes, and Mongoloid populations typically have the smallest. Concerning IQ levels, Mongoloids and Caucasians generally achieve higher scores, followed by Native Americans, with Southeast Asians and those of African descent observed at the lower end of the spectrum. It's essential to note that these findings must be viewed critically, considering the potential social, environmental, and methodological factors that could influence outcomes. Further investigation is warranted to understand these patterns fully [3-4].
Through the prism of the r-K life history theory, our research hypothesizes that certain physiological and cognitive traits have coevolved as adaptive responses to the environmental challenges faced by ancestral populations. For example, the harsh climates of Northern Europe and Asia may have necessitated the development of enhanced cognitive functions for survival. This evolutionary pressure likely influenced both neurological development and reproductive strategies, shaping these traits over millennia [5-7].
Although numerous studies have documented variations in penile size and IQ across different races, with the latter’s diversity being widely recognized, there remains debate within the scholarly community about the sufficiency of evidence to conclusively confirm significant racial differences in penile dimensions [8-13].
The purpose of this research extends beyond merely mapping these associations; it aims to explore the deeper implications these findings have for understanding human evolution, diversity, and the complex interactions between environmental, genetic, and physiological factors. We adhere strictly to the highest ethical standards and uphold scientific integrity, emphasizing that our analysis neither endorses nor promotes any form of racial bias or discrimination.
This study is driven by a commitment to enhance the scientific understanding of physiological variations across diverse human populations. By focusing rigorously on empirical data and maintaining strict methodological standards, we strive to provide insights that are free from prejudicial interpretations, dedicated solely to advancing medical science and promoting health equity. Our findings aim to contribute to a global knowledge base that informs health policy and practices, fostering inclusivity and respect across all racial and ethnic groups. By systematically analyzing global data using sophisticated statistical methodologies, this research aims to significantly contribute to the scholarly discussion on human biological diversity. It seeks to offer new insights that may challenge current paradigms and encourage further research in evolutionary biology, anthropology, and related fields.
Data sources
This research utilized global adult penile data from Lynn and Lukas Burk, covering the years 2010 to 2014 across 139 countries/regions [4]. This comprehensive dataset includes flaccid and erect penile measurements from 115,387 adult males, categorized into seven ethnic and thirteen mixed ethnic populations. Complementary variables such as IQ, per capita educational expenditure, daily maximum temperature, GDP (from the 2014 World Bank report, https://dataw. orldbank.org/ indicator/NY.GDP.PCAP.CD? end=2014&start=1960&year_high_ desc=true), and BMI (from the 2014 World Health Organization report, https://www. who.int/nmh/publications/ncd-status-report- 2014/en/) complement this analysis and provide a broader context for interpreting the physiological data.
Data processing: Self-reported measurements were excluded to ensure accuracy, and all data were collected by professional technicians using standardized methods. This involved compressing the pubic fat at the base of the penis to measure length accurately from the pubic-penile junction to the tip of the glans, excluding foreskin, in flaccid, stretched, and erect states. Girth measurements were consistently taken at the base or mid-shaft, avoiding the coronal groove, in both flaccid and erect conditions. This meticulous approach guaranteed uniformity and precision throughout the data collection process.
Sample inclusion criteria: The study required a minimum sample size of 100 male subjects per group, aged between 18 and 65 years. This criterion ensured that the dataset was both diverse and representative of the broader population.
Ethnic classification
Based on the existing literature, this study organizes ethnic groups into five defined categories, assigning a specific code to each as follows [4-5].
Negroids (Code 1): Predominantly located in Africa, Sub-Saharan Africa, and the Americas.
Caucasoids (Code 2): Encompasses populations primarily from Europe, North Africa, the Horn of Africa, West Asia, Central Asia, South Asia, North America, South America, and Oceania.
Mongoloids (Code 3): Primarily found in East Asia.
Amerindians/Mestizos (Code 4): Native to the Americas.
Mixed Ethnicity (Code 5): Represents individuals from mixed racial backgrounds.
These classifications facilitate the exploration of potential correlations between ethnic backgrounds and the variables measured in this study.
Statistical strategy
Statistical analyses were conducted using Stata 13.0. Quantitative data are presented as mean ± Standard Deviation (SD), with the significance threshold set at P<0.05. The analyses included:
Correlation analysis: We assessed the correlation between global adult penile lengths (both flaccid and erect) and IQ, including ethnic comparisons to explore potential variability across different groups.
Partial correlation analysis: This involved investigating the partial correlations between penile length and IQ, controlling for confounding variables such as GDP Per Capita, Education Expenditure Per Capita, Daily Maximum Temperature, and BMI. This analysis also focused on examining racial differences.
Linear regression models: Utilized to describe the characteristics of the data and analyze the relationships between penile length and IQ, allowing for a deeper understanding of these interactions and their significance.
Table 1 offers a comprehensive global overview of adult penile lengths in both flaccid and erect states, along with the corresponding IQ distributions across various ethnicities. It displays weighted average values (mean) and Standard Deviations (SD) in the initial columns, followed by columns detailing ethnic differences in penile size and IQ. The data highlight significant ethnic disparities in both IQ and penile length. The ranking for IQ, from highest to lowest, is as follows: Mongoloids, Caucasoids, Mixed Ethnicity, Amerindians, and Negroids, with Mongoloids presenting the shortest and Negroids the longest penile lengths shown in Table 1.
Mean (SD) | Difference (SD) | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable | Negroids | Caucasians | Mongoloids | Amerindians | Mixed ethnicity | Negroids vs. Caucasians | Negroids vs. Mongoloids | Negroids vs. Amerindians | Negroids vs. Mixed ethnicity | Caucasians vs. Mongoloids | Caucasians vs. Amerindians | Caucasians vs. Mixed Ethnicity | Mongoloids vs. Amerindians | Mongoloids vs. Mixed Ethnicity | Amerindians vs. Mixed Ethnicity |
IQ | 68.26 | 91.51 | 103.58 | 84.24 | 84.72 | -23.25*** | -35.32*** | -15.99*** | -16.46*** | -12.07*** | 7.27*** | 6.79*** | 19.34*** | 18.86*** | -0.48*** |
(7.31) | (7.68) | (4.97) | (5.83) | (3.48) | (0.14) | (0.10) | (0.15) | (0.10) | (0.04) | (0.12) | (0.08) | (0.08) | (0.05) | (0.08) | |
Flaccid Length | 9.78 | 9.33 | 7.43 | 10.39 | 10.14 | 0.45*** | 2.35*** | -0.62*** | -0.36*** | 1.91*** | -1.06*** | -0.81*** | -2.97*** | -2.71*** | 0.25*** |
(0.80) | (0.85) | (0.19) | (0.60) | (0.51) | (0.02) | (0.01) | (0.02) | (0.01) | (0.00) | (0.01) | (0.01) | (0.00) | (0.00) | (0.01) | |
Flaccid Circumference | 9.61 | 9.51 | 8.64 | 9.88 | 9.88 | 0.10*** | 0.97*** | -0.27*** | -0.27*** | 0.87*** | -0.37*** | -0.37*** | -1.24*** | -1.24*** | 0.00 |
Erect Length | (0.39) | (0.78) | (0.22) | (0.64) | (0.58) | (0.01) | (0.00) | (0.01) | (0.01) | (0.00) | (0.01) | (0.01) | (0.00) | (0.00) | (0.01) |
15.30 | 13.58 | 12.22 | 16.33 | 15.81 | 1.72*** | 3.08*** | -1.03*** | -0.50*** | 1.36*** | -2.75*** | -2.22*** | -4.11*** | -3.59*** | 0.53*** | |
Erect Circumference | (1.50) | (1.31) | (0.84) | (1.36) | (1.32) | (0.03) | (0.02) | (0.03) | (0.03) | (0.01) | (0.02) | (0.02) | (0.01) | (0.01) | (0.02) |
12.02 | 12.17 | 10.88 | 12.65 | 12.58 | -0.15*** | 1.14*** | -0.63*** | -0.55*** | 1.29*** | -0.48*** | -0.41*** | -1.77*** | -1.70*** | 0.08*** | |
n | (0.30) | (0.84) | (0.25) | (0.88) | (0.80) | (0.02) | (0.01) | (0.02) | (0.02) | (0.00) | (0.01) | (0.01) | (0.01) | (0.00) | (0.02) |
3056 | 48695 | 49587 | 4491 | 9558 | 51751 | 98282 | 7547 | 12614 | 98282 | 53456 | 53186 | 54078 | 59145 | 14049 |
Note: The reported penile lengths and circumferences represent mean values. The figures followed by '±' indicate standard deviations, with all units in centimeters.
Table 1: Ethnic disparities in adult penile length, circumference, and IQ.
Table 2 presents the correlations between adult penile measurements, ethnicity, IQ, and other control variables on a global scale, with detailed significance testing included. The findings demonstrate significant correlations between penile size and factors such as IQ and ethnicity. Both flaccid and erect penile lengths and circumferences show negative correlations with IQ, with statistical significance noted (p<0.001). However, the validity of these correlations necessitates further investigation. It is essential to control for additional variables to better understand the partial and covariant relationships that these findings imply shown in Table 2.
IQ | Flaccid length | Flaccid circumference | Erect length | Erect circumference | Log (GDP Per Capita) | BMI | Log (Education Expenditure Per Capita) | Daily maximum temperature | Negroids | Caucasians | Mongoloids | Amerindians | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IQ | 1.00*** | ||||||||||||
Flaccid length | -0.59*** | 1.00*** | |||||||||||
Flaccid circumference | -0.31*** | 0.78*** | 1.00*** | ||||||||||
Erect length | -0.38*** | 0.83*** | 0.69*** | 1.00*** | |||||||||
Erect circumference | -0.47*** | 0.81*** | 0.98*** | 0.72*** | 1.00*** | ||||||||
Log (GDP Per Capita) | 0.33*** | 0.32*** | 0.48*** | 0.29*** | 0.45*** | 1.00*** | |||||||
BMI | -0.27*** | 0.61*** | 0.43*** | 0.47*** | 0.53*** | 0.44*** | 1.00*** | ||||||
Log (Education Expenditure Per Capita) | 0.13*** | 0.62*** | 0.70*** | 0.40*** | 0.72*** | 0.84*** | 0.67*** | 1.00*** | |||||
Daily maximum temperature | -0.72*** | 0.15*** | -0.02*** | 0.14*** | 0.11*** | -0.45*** | -0.01*** | -0.44*** | 1.00*** | ||||
Negroids | -0.43*** | 0.16*** | 0.10*** | 0.19*** | 0.08*** | -0.13*** | -0.28*** | -0.08*** | 0.28*** | 1.00*** | |||
Caucasians | -0.31*** | 0.47*** | 0.37*** | 0.13*** | 0.44*** | 0.46*** | 0.63*** | 0.52*** | -0.20*** | -0.14*** | 1.00*** | ||
Mongoloids | 0.70*** | -0.85*** | -0.64*** | -0.59*** | -0.75*** | -0.36*** | -0.71*** | -0.43*** | -0.20*** | -0.14*** | -0.74*** | 1.00*** | |
Amerindians | -0.21*** | 0.29*** | 0.20*** | 0.37*** | 0.25*** | -0.09*** | 0.06*** | -0.08*** | 0.19*** | -0.03*** | -0.17*** | -0.17*** | 1.00*** |
Mixed ethnicity | -0.30*** | 0.38*** | 0.29*** | 0.45*** | 0.34*** | -0.04*** | 0.26*** | -0.07*** | 0.41*** | -0.05*** | -0.26*** | -0.26*** | -0.06*** |
Note: ***p<0.001ï¼?**p<0.05ï¼?*p<0.01.
Table 2: Analysis of the correlation between adult penile length, circumference, ethnicity, and IQ.
Figure 1 utilizes scatterplots to illustrate the global relationship between adult penile length or circumference and IQ, represented by two-letter country abbreviations. The graphs in the first row focus on penile length in both flaccid and erect states, while the second row displays circumferences in these same conditions. The findings indicate a noticeable negative correlation between penile length and IQ. In contrast, the correlation between circumference and IQ is less pronounced shown in Figure 1.
Figure 1: Scatterplots of Adult Penile Length, Circumference, and IQ (Flaccid vs. Erect). The fitted lines in the graphs represent simple linear regression fits of IQ against the respective x-axis variables and do not control for other variables.
Table 3 reports high-order partial correlation coefficients between various adult penile measurements and IQ, adjusting for factors such as GDP per capita (logged), BMI, educational expenditure per capita (logged), daily maximum temperature, and ethnicity, complete with significance testing. The results reveal a pronounced negative correlation between adult flaccid penile length and IQ (p<0.001), persisting even when controlling for other influential variables shown in Table 3.
Variable | Partial correlation coefficient | |||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Flaccid length | -0.17*** | - | -0.08*** | - |
Flaccid circumference | 0.09*** | - | 0.19*** | - |
Erect length | - | 0.05*** | 0.07*** | - |
Erect circumference | - | -0.07*** | -0.21*** | - |
Length growth coefficient | - | - | - | 0.08*** |
Circumference expansion coefficient | - | - | - | -0.16*** |
Log (GDP Per Capita) | 0.30*** | 0.30*** | 0.27*** | 0.27*** |
BMI | 0.11*** | 0.04*** | 0.04*** | 0.06*** |
Log (Education Expenditure Per Capita) | -0.14*** | -0.11*** | -0.08*** | -0.11*** |
Daily maximum temperature | -0.66*** | -0.69*** | -0.65*** | -0.65*** |
Negroids | -0.29*** | -0.41*** | -0.45*** | -0.45*** |
Caucasians | -0.05*** | -0.02*** | -0.02*** | 0.02*** |
Mongoloids | 0.37*** | 0.46*** | 0.43*** | 0.58*** |
Amerindians | -0.02*** | -0.04*** | -0.02*** | -0.03*** |
n | 107637 | 100305 | 100305 | 100305 |
Note: (1) Controlling for ln GDP per Capita, BMI, ln Education Expenditure per Capita, Daily Max Temperature, and Ethnicity; (2) The “length growth coefficient” was determined using the formula: (average erect length-average flaccid length) /average flaccid length. Similarly, the “circumference expansion coefficient” was computed as: (average erect circumference - average flaccid circumference) /average flaccid circumference.
Table 3: High-Order partial correlations and tests for adult penile length, circumference, and IQ.
Table 4 explores the relationship between IQ and penile dimensions while adjusting for covariates including per capita GDP (logtransformed), Body Mass Index (BMI), educational expenditure per capita (log-transformed), daily maximum temperature, and racial demographics. This table presents regression and standardized coefficients, using IQ as the dependent variable and including variables such as flaccid length, girth, and dimensions during full erection. The analysis reveals a significant inverse association between flaccid penile length and IQ (p<0.001), which remains robust even after adjusting for the other factors. Furthermore, the data highlight substantial racial disparities in IQ (p<0.001). To further validate these findings, the study incorporates additional variables into the regression model, including coefficients for penile length growth and girth expansion, offering a comprehensive analysis of the standardized coefficients shown in Table 4.
Model 1 | Model 2 | Model 3 | Model 4 | |||||
---|---|---|---|---|---|---|---|---|
Explanatory variable | β (s.e.) | Std β | β (s.e.) | Std β | β (s.e.) | Std β | β (s.e.) | Std β |
Flaccid length | -1.15*** | -0.14 | - | - | -0.63*** | -0.08 | - | - |
-0.02 | -0.02 | |||||||
Flaccid circumference | 0.74*** | 0.05 | - | - | 4.89*** | 0.35 | - | - |
-0.03 | -0.08 | |||||||
Erect length | - | - | 0.21*** | 0.03 | 0.42*** | 0.07 | - | - |
-0.01 | -0.02 | |||||||
Erect circumference | - | - | -0.58*** | -0.05 | -4.62*** | -0.41 | - | - |
-0.02 | -0.07 | |||||||
Length growth coefficient | - | - | - | - | - | - | 3.63*** | 0.04 |
-0.14 | ||||||||
Circumference expansion coefficient | - | - | - | - | - | - | -28.94*** | -0.05 |
-0.55 | ||||||||
Log (GDP Per Capita) | 3.70*** | 0.33 | 3.80*** | 0.33 | 3.67*** | 0.32 | 3.63*** | 0.31 |
-0.04 | -0.04 | -0.04 | -0.04 | |||||
BMI | 0.46*** | 0.07 | 0.16*** | 0.02 | 0.15*** | 0.02 | 0.22*** | 0.03 |
-0.01 | -0.01 | -0.01 | -0.01 | |||||
Log (Education Expenditure Per Capita) | -1.15*** | -0.17 | -1.00*** | -0.14 | -0.79*** | -0.11 | -0.97*** | -0.14 |
-0.03 | -0.03 | -0.03 | -0.03 | |||||
Daily maximum temperature | -0.75*** | -0.44 | -0.71*** | -0.42 | -0.67*** | -0.39 | -0.67*** | -0.39 |
0 | 0 | 0 | 0 | |||||
Negroids | -8.23*** | -0.13 | -11.51*** | -0.17 | -13.08*** | -0.2 | -12.43*** | -0.19 |
-0.08 | -0.08 | -0.08 | -0.08 | |||||
Caucasians | -0.93*** | -0.04 | -0.24*** | -0.01 | -0.32*** | -0.01 | 0.22*** | 0.01 |
-0.05 | -0.05 | -0.05 | -0.04 | |||||
Mongoloids | 10.36*** | 0.5 | 12.26*** | 0.58 | 11.23*** | 0.53 | 12.36*** | 0.58 |
-0.08 | -0.07 | -0.08 | -0.06 | |||||
Amerindians | -0.42*** | -0.01 | -0.78*** | -0.02 | -0.27*** | -0.01 | -0.46*** | -0.01 |
-0.06 | -0.06 | -0.06 | -0.05 | |||||
Constant | 70.78*** | - | 75.38*** | - | 79.96*** | - | 75.70*** | - |
-0.44 | -0.43 | -0.46 | -0.32 | |||||
n | 107637 | 100305 | 100305 | 100305 |
Note: Mixed ethnicity (=5) serves as the reference group; Standard errors in parentheses; Std β indicates the standardized coefficient; ***p<0.001, **p<0.05, *p<0.01.
Table 4: Regression analysis of the covariation of adult penile size, ethnicity, and IQ.
This research has conducted an in-depth analysis of the interrelationships between penile dimensions and IQ, meticulously accounting for a variety of confounding variables through partial correlation and regression analyses. Our findings highlight significant variations in both penile length and IQ across racial groups, suggesting a complex relationship influenced by both genetic and environmental factors.
Summary of key findings
The data reveal distinct racial patterns in penile size and IQ scores. Mongoloids, typically with the shortest penile lengths, exhibit the highest IQ levels, while Negroids, with longer penile sizes, display lower IQ scores. This inverse relationship raises interesting questions about possible evolutionary trade-offs between physical attributes and cognitive abilities. Notably, the correlation between penile length and IQ varies with the state of arousal: flaccid length shows a negative correlation with IQ, while erect length displays a positive correlation, indicating deeper biological and environmental influences.
Implications and future research
These findings necessitate further exploration into how evolutionary pressures and modern environmental conditions have shaped physical and cognitive traits across populations. Future studies should employ longitudinal designs to track these traits over time, thereby enhancing our understanding of their evolutionary significance. It is crucial that interpretations of these data are approached with nuance to avoid perpetuating stereotypes, highlighting the importance of contextualizing genetic and evolutionary research within a broader societal framework.
While this study presents compelling evidence of a link between penile size and IQ, the causality and broader implications of these findings remain open for further scientific investigation. This research contributes to the broader discourse on human biological diversity, encouraging a reevaluation of how we understand the interplay between our physical forms and cognitive functions. Future research is essential to deepen our understanding of these complex relationships, ideally through more detailed and controlled studies.
Despite rigorous statistical analysis, the study's cross-sectional design and reliance on aggregated data may obscure individual variations and lead to ecological fallacies. The measurements of penile size could also be influenced by physiological and contextual factors that were not fully controlled. While the findings indicate significant correlations between penile length and IQ, these should not be interpreted as causal. The nature of the data and analysis only allows for the inference of correlations, not cause-and-effect relationships, which necessitates further investigation through potentially longitudinal or experimental studies to better understand the dynamics over time and under varied conditions.
Conducting research on sensitive topics demands the highest ethical standards. This study has adhered to these principles, ensuring that all research activities were conducted responsibly and ethically to avoid any potential misuse of the findings that could fuel racial biases or discrimination. Continuous vigilance is necessary to ensure that interpretations of the data foster understanding and respect among diverse populations.
The authors declare that there are no conflicts of interest in connection with this article.
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Citation: Wang C, WangDing Y (2024) Penile Length and Intelligence Quotient: A Cross-Sectional Analysis in 139 Countries. Andrology. 13:324.
Received: 03-Jul-2024, Manuscript No. ANO-24-32619; Editor assigned: 05-Jul-2024, Pre QC No. ANO-24-32619 (PQ); Reviewed: 19-Jul-2024, QC No. ANO-24-32619; Revised: 26-Jul-2024, Manuscript No. ANO-24-32619 (R); Published: 02-Aug-2024 , DOI: 10.35248/2167-0250.24.13.324
Copyright: © 2024 Wang C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.