The hottest Risk Analysis Substack posts right now

And their main takeaways
Category
Top Technology Topics
moontower: a stoner dad explains options trading to his kids β€’ 314 implied HN points β€’ 10 Jan 24
  1. When analyzing data, consider thinking in terms of the number of unique data points (N) rather than the total number of observations (T).
  2. Samples drawn from the same regime reduce the effective number of data points, impacting the reliability of quantitative analysis.
  3. Account for autocorrelation in data to avoid biases in estimating return volatilities and risk, ensuring better comparisons across different investments.
Mindful Matrix β€’ 179 implied HN points β€’ 08 Feb 24
  1. Project estimation is a critical skill influencing project success; it involves setting realistic expectations, aligning efforts, and managing resources effectively.
  2. Key considerations in estimation include understanding project scope, conducting risk analysis, and utilizing estimation strategies like historical analysis and buffer times.
  3. Transparency and communication are crucial in estimation; transparency helps manage stakeholder expectations while effective communication ensures clarity and trust in the estimation process.
Experimental Fat Loss β€’ 233 implied HN points β€’ 24 Jan 24
  1. Cutting out seed oils led to significant health benefits for the author, including weight loss and improved overall well-being.
  2. While the link between PUFAs and obesity is not 100% proven, there is substantial evidence and personal anecdotes supporting the idea.
  3. The author believes that the risks of consuming seed oils outweigh any potential benefits, and will continue to avoid them based on the evidence available.
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Steve Kirsch's newsletter β€’ 12 implied HN points β€’ 22 Feb 24
  1. The study analyzed 99 million vaccinated individuals, claiming the benefits outweigh the risks, but critics disagree due to concerns about safety signals and limitations of the study.
  2. There is skepticism about the benefits of the COVID vaccine, with questions raised about its effectiveness and the reported adverse events, as well as the lack of transparency in sharing data.
  3. The discussion revolves around the comparison of risks between the COVID vaccine and the virus, particularly focusing on adverse events like myocarditis, highlighting conflicting findings in various studies.
imperfect offerings β€’ 119 implied HN points β€’ 07 Aug 23
  1. Generative AI tools may fail to expose users to diverse ideas and perspectives, reinforcing existing biases.
  2. There is a risk that the use of generative AI may not respect human rights and safeguard individual autonomy, especially for children.
  3. It is important for educators to carefully consider the consequences of incorporating generative AI tools in teaching, ensuring fairness, transparency, and accountability.
Extropic Thoughts β€’ 19 implied HN points β€’ 23 Mar 23
  1. The blogosphere is full of posts urging panic over AI, but the author believes we shouldn't panic about AI and shouldn't slow down research.
  2. Some recommended essays explore historical warnings about AI and the risks of slowing down AI progress.
  3. Despite concerns about AI existential risks, the author advocates for not freaking out and discusses different perspectives on AI risk.
The Incrementalist β€’ 2 implied HN points β€’ 08 Dec 23
  1. Establish context by starting with the 'why' to ensure mutual understanding before diving into the solution.
  2. Identify the problem clearly by grounding discussions with data and metrics and formulating a hypothesis to emphasize urgency.
  3. Present various solutions, consider different options, and follow a structured process to make better decisions, while also demonstrating critical thinking skills.
Photon-Lines Substack β€’ 6 HN points β€’ 20 Jul 23
  1. The Monte Carlo method uses random sampling to estimate complex mathematical results or simulate probabilistic events.
  2. It is applicable in various fields like finance, physics, engineering, risk analysis, environmental modeling, manufacturing, and artificial intelligence.
  3. The method involves generating a large number of random samples to approximate outcomes when exact solutions are difficult to obtain analytically.
PeopleStorming β€’ 0 implied HN points β€’ 14 Mar 22
  1. Taking calculated risks means understanding key variables, planning incrementally, and anticipating failure.
  2. As a leader, taking risks is crucial because the market favors competent risk-taking, which leads to outperformance by teams and organizations.
  3. Utilizing trap door thinking, introducing incrementality, and conducting pre-mortems can help in making better risk-related decisions and avoiding irreversible mistakes.
The Tweetsift Report β€’ 0 implied HN points β€’ 19 Mar 23
  1. Subjective earnings risk is the worry about not making enough money in the future, even when doing well now.
  2. Federal Reserve study shows people may underestimate the risk of earning less in the future, especially when changing jobs.
  3. Young and low earning workers are at higher risk of not evaluating their subjective earnings risks and need to be cautious in career choices.
Engineering Ideas β€’ 0 implied HN points β€’ 29 May 23
  1. The exemplary actor uses a powerful LLM and narrow AI tools to generate perfectly ethical plans aligned with scientific theories.
  2. Alignment on methodological and scientific disciplines is vital for goal alignment and plan alignment.
  3. Challenges include direct LLM access risks, alien world model influences, and the need to mitigate capability handicaps from ethical alignment.