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Related Concept Videos

Relative Risk01:12

Relative Risk

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
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Hazard Rate01:11

Hazard Rate

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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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Updated: Apr 28, 2026

An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

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Existential risks: exploring a robust risk reduction strategy.

Karim Jebari1

  • 1Royal Institute of Technology, KTH, Teknikringen 78B, 114 28, Stockholm, Sweden, jebarikarim@gmail.com.

Science and Engineering Ethics
|June 4, 2014
PubMed
Summary
This summary is machine-generated.

This study proposes engineering safety strategies, like underground refuges, to mitigate unforeseen existential risks to mankind. Such measures can reduce humanity's extinction risk from unpredictable black swan events.

Related Experiment Videos

Last Updated: Apr 28, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.3K

Area of Science:

  • Existential risk reduction
  • Global catastrophic risk assessment
  • Humanity's long-term future

Background:

  • Growing research on existential risks, focusing on known threats.
  • Limitations of decision theory and probabilistic analysis for unforeseen events.
  • Need for novel strategies to address unpredictable extinction risks.

Purpose of the Study:

  • Propose a heuristic for reducing existential risks from black swan extinction events.
  • Explore the application of engineering safety principles to mitigate unforeseen risks.
  • Outline a conceptual implementation strategy for risk reduction.

Main Methods:

  • Applying the engineering safety approach to mitigate unforeseen risks.
  • Developing a conceptual model for isolated, self-sufficient underground refuges.
  • Analyzing psychosocial aspects critical for refuge sustainability.

Main Results:

  • Engineering safety offers a viable strategy for managing black swan extinction risks.
  • Underground refuges present a plausible implementation for safety barriers.
  • Proposed strategy can reduce extinction risk across diverse scenarios.

Conclusions:

  • Engineering safety strategies, specifically underground refuges, are effective and plausible for mitigating existential risks.
  • The proposed approach addresses both known and unknown extinction scenarios.
  • Further research and development of these strategies are warranted given the high stakes.