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In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Related Experiment Video

Updated: Jun 24, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Methodological artefacts cause counter-intuitive evolutionary conclusions in a simulation study.

Loke von Schmalensee1, Mats Ittonen1, Anna Brødsgaard Shoshan1

  • 1Department of Zoology, Stockholm University, Stockholm, Sweden.

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|June 12, 2024
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Summary
This summary is machine-generated.

Evolutionary constraints may help populations adapt to climate change. However, this study suggests the simulated temperature range was too narrow, potentially disadvantaging unconstrained populations.

Keywords:
climate changeevolutionary constraintextinction riskgenetic correlationthermal physiology

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Area of Science:

  • Evolutionary biology
  • Climate change adaptation
  • Population genetics

Background:

  • Simulation studies on evolutionary constraints and climate change adaptation.
  • Previous research suggesting evolutionary constraints aid population survival under environmental change.

Discussion:

  • Critique of Garcia-Costoya et al. (2023) simulation parameters, specifically the limited temperature variation.
  • Analysis of how uneven limitations to standing variation can disadvantage populations lacking constraints.
  • The impact of simulation scope on the interpretation of evolutionary responses to climate change.

Key Insights:

  • The conclusion that evolutionary constraints aid climate change adaptation may be an artifact of limited simulation parameters.
  • Unconstrained populations can be disadvantaged by uneven limitations to standing variation.
  • Accurate simulation parameters are crucial for understanding evolutionary responses to climate change.

Outlook:

  • Further research with broader temperature variations is needed to validate findings on evolutionary constraints.
  • Investigating the role of standing variation limitations in different environmental contexts.
  • Developing more robust simulation models for predicting population resilience to climate change.