2009 ◽  
Author(s):  
Jarosław Pykacz ◽  
Luigi Accardi ◽  
Guillaume Adenier ◽  
Christopher Fuchs ◽  
Gregg Jaeger ◽  
...  

2021 ◽  
Author(s):  
Johannes K Vilsmeier ◽  
Michael Kossmeier ◽  
Martin Voracek ◽  
Ulrich S. Tran

For a quarter of a century researchers investigating the origins of sexual orientation have largely ascribed to the fraternal birth order effect (FBOE) as a fact, holding that older brothers increase the odds of homosexual orientation among men through an immunoreactivity process. Here, we triangulate the empirical foundations of the FBOE from three distinct, informative perspectives: First, drawing on basic probability calculus, we deduce mathematically that the body of statistical evidence of the FBOE rests on the false assumptions that effects of family size should be controlled for and that this could be achieved through the use of ratio variables. Second, using a data-simulation approach, we demonstrate that by using ratio variables, researchers are bound to falsely declare corroborating evidence of an excess of older brothers at a rate of up to 100%, and that valid approaches attempting to quantify a potential excess of older brothers among homosexual men must control for the confounding effects of the number of older siblings. And third, we re-examine the empirical evidence of the FBOE by using a novel specification-curve and multiverse approach to meta-analysis. This yielded highly inconsistent and moreover similarly-sized effects across 64 male and 17 female samples (N = 2,778,998), compatible with an excess as well as with a lack of older brothers in both groups, thus, suggesting that almost no variation in the number of older brothers in men is attributable to sexual orientation.


Author(s):  
P. N. Johnson-Laird ◽  
Sangeet S. Khemlani

The theory of mental models accounts for the meanings of causal relations in daily life. They refer to seven temporally-ordered deterministic relations between possibilities, which include causes, prevents, and enables. Various factors—forces, mechanisms, interventions—can enter into the interpretation of causal assertions, but they are not part of their core meanings. Mental models represent only salient possibilities, and so they are identical for causes and enables, which may explain failures to distinguish between their meanings. Yet, reasoners deduce different conclusions from them, and distinguish between them in scenarios, such as those in which one event enables a cause to have its effect. Neither causation itself nor the distinction between causes and enables can be captured in the pure probability calculus. Statistical regularities, however, often underlie the induction of causal relations. The chapter shows how models help to resolve inconsistent causal scenarios and to reverse engineer electrical circuits.


Author(s):  
Klaus Weltner ◽  
Peter Schuster ◽  
Wolfgang J. Weber ◽  
Jean Grosjean
Keyword(s):  

Author(s):  
Klaus Weltner ◽  
Sebastian John ◽  
Wolfgang J. Weber ◽  
Peter Schuster ◽  
Jean Grosjean
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document