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The Science of Gender Incongruence | Epigenetic Inheritance, Prenatal Hormone Exposure, and Dementia

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aflevering The Science of Gender Incongruence | Epigenetic Inheritance, Prenatal Hormone Exposure, and Dementia artwork

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Updated Science of Transness Wiki Is Now Live I am really proud of my additions and adjustments in that regard The Science of Gender Incongruence [https://harmless-racer-3fc.notion.site/The-Science-of-Gender-Incongruence-41a7a039063348f9a9e55dcec62bbcc7?pvs=73] - Wiki update Epigenetic Inheritance, Prenatal Hormone Exposure, and Gendered Experiences: A Multi-Generational Neurodevelopmental Formulation A Computational Epigenetics, Hormonal Programming, and Genetic Variation Synthesis Section 1: Mechanisms of Epigenetic Inheritance Epigenetic inheritance involves heritable changes in gene expression without alterations to the DNA sequence itself. Key mechanisms include DNA methylation, histone modification, and non-coding RNA regulation. These marks can be transmitted across generations through the germline, influencing offspring development. Prenatal environmental exposures (stress, infection, nutrition) induce epigenetic changes in the fetus that may persist into adulthood and be passed to subsequent generations. Systematic reviews confirm that maternal prenatal distress and inflammation produce lasting effects on offspring stress response systems, sensory processing, and self-perception networks (Walsh et al., 2020; Bale, 2015). Section 2: Prenatal Hormone Exposure and Brain Sexual Differentiation Prenatal hormones (androgens, estrogens) play a critical role in organizing brain structure and function during sensitive developmental windows. Variations in exposure timing, dosage, or receptor sensitivity can lead to atypical sexual differentiation of neural circuits involved in body mapping, self-perception, and social cognition. Case studies and cohort data show that altered prenatal androgen exposure (e.g., in Congenital Adrenal Hyperplasia) is associated with shifts in gender-related behavior and identity (Hines, 2015; Berenbaum, 2016). These effects are not deterministic but contribute to a spectrum of gendered experiences. Section 3: Stacking of Gendered Experiences Across Generations Epigenetic marks from parental trauma or hormone disruption can accumulate over generations, creating compounded effects on offspring neurodevelopment. This “stacking” may amplify sensitivity in self-perception networks, leading to heightened gender incongruence or alternative gendered experiences in descendants. Longitudinal studies and animal models demonstrate transgenerational transmission of stress-related epigenetic profiles that influence behavior, emotional regulation, and social perception (Bale, 2015; Yehuda et al., 2016). In humans, this can manifest as persistent mismatches between internal sense of gender and physical/social environment. Section 4: Role of Intersex Breeding and Natural Genetic Mutations Intersex conditions (Differences of Sex Development) often involve genetic mutations in hormone synthesis or receptor genes (e.g., AR, SRD5A2). When individuals with these variations reproduce, they can transmit mutations that influence sexual differentiation in offspring. Natural genetic mutations and polymorphisms in sex-steroid pathways contribute to the normal spectrum of human gendered experiences. Population genetic studies show that common variants in these genes correlate with variations in gender-related traits (Foreman et al., 2019). Case studies of families with intersex history or known mutations frequently report elevated rates of gender incongruence across generations, supporting a genetic transmission component. Section 5: Integrative Model and Implications Gendered experiences emerge from the dynamic interaction of: * Epigenetic inheritance from ancestral environments. * Prenatal hormone programming of brain networks. * Genetic mutations and intersex-related variants. This multi-generational model explains why some individuals experience profound, inborn gender incongruence as a stable neurodevelopmental feature. It is supported by peer-reviewed data on epigenetics, prenatal programming, and genetic studies. Future research integrating multi-generational epigenomic profiling, hormone exposure history, and genetic sequencing will further clarify these pathways. Selected References (Highly Peer-Reviewed Sources): * Bale (2015). Epigenetic and transgenerational reprogramming of brain development. * Hines (2015). Early androgen exposure and human gender development. * Walsh et al. (2020). Maternal prenatal stress phenotypes and offspring neurodevelopment. * Foreman et al. (2019). Genetic link between gender dysphoria and sex hormone signaling. * Yehuda et al. (2016). Holocaust survivors and their children. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit opheliaeverfall.substack.com [https://opheliaeverfall.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

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aflevering Ha! (Psychology) - The Most Offensive Data Imaginable Is Right There artwork

Ha! (Psychology) - The Most Offensive Data Imaginable Is Right There

Ha! (Psychology) this is the most retarded thing a bunch of people did to themselves in the history of the universe The Replication Crisis in Psychology – Verifiable Statistics on Failure Rates, High-Profile vs. Low-Profile Findings, and Systemic Implications The replication crisis represents one of the most thoroughly documented methodological challenges in contemporary psychology. Large-scale projects have produced clear, quantifiable evidence of low reproducibility across both high-profile and lower-profile studies. This document synthesizes the key statistical findings, distinguishes between high- and low-profile research, and examines what these numbers reveal about the field’s overall reliability. Overall Replication Success Rates The most cited large-scale effort remains the 2015 Open Science Collaboration project, which attempted to replicate 100 studies published in three high-impact psychology journals (Psychological Science, Journal of Personality and Social Psychology, and Journal of Experimental Psychology: Learning, Memory, and Cognition). * Original studies claiming statistically significant results: 97 out of 100 (97%). * Successful replications (significant results in the same direction): 36 out of 100 (36%). * When using a stricter criterion (effect size within the 95% confidence interval of the original): success dropped to approximately 25%. * Average effect size in replications was roughly half that reported in the original studies. Subsequent projects have produced comparable ranges. A 2018 study replicating 21 experimental economics studies achieved a 61% replication rate, while social psychology-focused efforts have often fallen in the 25–50% range depending on methodology and strictness criteria. High-Profile vs. Low-Profile Findings High-Profile Studies (often published in top-tier journals and widely cited):These tend to show the lowest replication rates. The Open Science Collaboration’s 100-study set deliberately targeted influential papers. Only about one-third replicated robustly. Many headline findings in social priming, ego depletion, and implicit bias research have shown particularly weak replication (e.g., several classic social psychology effects have failed in multiple independent attempts). High-profile work benefits from greater visibility and scrutiny, which has exposed fragility in effect sizes and contextual sensitivity. Low-Profile Studies (published in specialized or lower-impact journals):Replication rates are generally higher but still concerning. A 2016–2020 meta-project examining a broader sample of psychology studies estimated replication success around 50–60% for less-cited work. However, even these studies frequently show substantial shrinkage in effect size upon replication. The pattern suggests that publication bias and questionable research practices (p-hacking, selective reporting) inflate apparent success across the field, with high-profile findings suffering most from over-optimism in initial reporting. Broader Statistical Indicators of Failure Rates * Publication Bias and “File Drawer” Problem: Estimates suggest that for every published significant finding, multiple non-significant studies remain unpublished. Ioannidis (2005) modeled that under typical conditions in “soft” sciences, the positive predictive value of a statistically significant result can fall below 50%. * Effect Size Inflation: Original studies routinely report effect sizes 1.5–2 times larger than those obtained in independent replications. * p-Hacking and Researcher Degrees of Freedom: Surveys of psychologists indicate widespread use of flexible analytic practices that increase false-positive rates (John et al., 2012). * Longitudinal Outcome Data in Clinical Psychology/Psychiatry: Real-world functional recovery rates under standard care protocols remain low. Many longitudinal cohorts show high relapse, persistent disability, and measurable iatrogenic effects (e.g., cortical volume reduction correlated with cumulative antipsychotic exposure). What These Numbers Mean The verifiable statistics paint a consistent picture: psychology produces many findings that do not hold up under independent scrutiny. High-profile claims — those most likely to influence theory, clinical practice, and public understanding — show the weakest replication. This is not random noise but a structural feature of studying complex, context-dependent human phenomena with methods that often fail to account for observer effects, cultural variation, and environmental context. The degradation of falsifiability is evident in the gap between initial claims and replication outcomes. When roughly 60–75% of published significant results fail or substantially weaken upon re-testing, the field’s ability to build cumulative knowledge is severely compromised. These numbers do not invalidate all psychological research. They do, however, demonstrate that the current standard of evidence in much of the field falls short of the rigorous, externally anchored standards seen in physics, chemistry, or molecular biology. Greater transparency, pre-registration, larger samples, and adversarial collaboration are necessary corrections if psychology seeks to strengthen its scientific standing. Selected References (Verifiable Scholarly Sources) * Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716. * Ioannidis, J. P. A. (2005). Why most published research findings are false. PLoS Medicine, 2(8), e124. * John, L. K., Loewenstein, G., & Prelec, D. (2012). Measuring the prevalence of questionable research practices with incentives for truth telling. Psychological Science, 23(5), 524–532. * Munafo, M. R., et al. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1(1), 0021. * Lilienfeld, S. O. (2010). Can psychology become a science? Personality and Individual Differences, 49(4), 281–288. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit opheliaeverfall.substack.com [https://opheliaeverfall.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

2 jul 202622 min