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Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned more cows, the larger...
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Related Experiment Video

Updated: May 16, 2026

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
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Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

Simplification traps.

Heino Prinz1

  • 1Max-Planck-Institut für molekulare Physiologie, Otto-Hahn-Str. 11, 44227 Dortmund, Germany.

Journal of Chemical Biology
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

Analyzing experimental data with simple models can be misleading. Complex kinetic or dose-response data require advanced analysis to reveal true mechanisms and avoid costly drug development failures.

Keywords:
4PLDose–response curvesLogistic functionMultiexponential fitsNumerical methodsSystematic deviations

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Setting Limits on Supersymmetry Using Simplified Models
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Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

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Last Updated: May 16, 2026

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
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Published on: December 29, 2021

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

Area of Science:

  • Pharmacology
  • Biochemistry
  • Chemical Kinetics

Background:

  • Simple analytical models can oversimplify complex experimental outcomes.
  • Deviations from expected simplicity in kinetic and dose-response data indicate underlying complexity.

Purpose of the Study:

  • To highlight the importance of appropriate analytical methods for experimental data.
  • To emphasize the consequences of oversimplification in scientific analysis, particularly in drug development.

Main Methods:

  • Analysis of kinetic experiments deviating from exponential curves.
  • Application of logistic functions (e.g., 4-parameter fit) to dose-response curves.
  • Interpretation of Hill coefficients in the context of molecular interactions.

Main Results:

  • Non-exponential kinetic curves indicate reaction orders other than first or pseudo-first order, necessitating plausible reaction scheme analysis.
  • Hill coefficients not equal to one in dose-response curves signify the involvement of multiple molecules in the biological response.
  • Ignoring these complex results can lead to flawed interpretations and financial losses in drug development.

Conclusions:

  • Accurate interpretation of experimental data, especially deviations from simple models, is crucial for scientific validity.
  • Advanced analytical approaches are necessary for understanding complex biological and chemical processes.
  • Correctly interpreting dose-response and kinetic data prevents costly errors in pharmaceutical research and development.