The hottest Data Manipulation Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Intrinsic Perspective 6981 implied HN points 07 Aug 23
  1. Scientists accused of misconduct may face damaging consequences like losing their careers and facing lawsuits.
  2. Intent matters when judging data fabrication, and public condemnation is not always the best approach.
  3. Challenges arise when individuals expose scientific fraud by prominent researchers and face potential legal repercussions.

AI

Life in the 21st Century 39 implied HN points 02 Feb 24
  1. AI is a powerful evolution of computing technology, tracing back 75 years to the invention of the transistor.
  2. AI's exponential growth in compute power enables manipulation of vast amounts of data and sophisticated algorithms.
  3. The internet plays a crucial role in AI, facilitating extensive networking and simultaneous computing.
Steve Kirsch's newsletter 7 implied HN points 24 Nov 25
  1. A Danish study claims that aluminum exposure reduces autism and asthma risks, but many think the data was manipulated.
  2. There is no scientific reason to believe that injecting aluminum improves health, and no doctors recommend this treatment.
  3. The study's results are questioned because other evidence shows high aluminum levels in the brains of autistic children.
The Software & Data Spectrum 39 implied HN points 30 Mar 23
  1. Using apply functions in R like lapply and sapply can help apply functions to elements in a vector or list.
  2. Math functions in R like abs(), sum(), mean(), and round() are useful for basic calculations and rounding numbers.
  3. Data manipulation in R using dplyr involves functions like filter(), arrange(), select(), and mutate() to filter, sort, and create new columns in datasets.
Rod’s Blog 39 implied HN points 21 Sep 23
  1. Misinformation attacks against AI involve providing incorrect information to trick AI systems and manipulate their behavior.
  2. Types of misinformation attacks include adversarial examples, data poisoning, model inversion, Trojan attacks, membership inference attacks, and model stealing.
  3. Mitigating misinformation attacks requires data validation, robust model architectures, defense mechanisms, privacy-preserving techniques, monitoring, security best practices, user education, and collaborative efforts.
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Steve Kirsch's newsletter 6 implied HN points 04 Aug 25
  1. The revised Danish aluminum study has serious flaws, like not being open about the changes made to the data. This kind of manipulation is a big deal in science.
  2. There are concerns that the study downplays real risks by having a short follow-up period and not looking closely enough at health issues like autism and ADHD.
  3. To rebuild trust in medical research, this study should be retracted. It’s important for science to be transparent and free from conflicts of interest.
Marginally Compelling 12 implied HN points 06 Feb 24
  1. There have been recent accusations of data fabrication in elite research institutions at high levels.
  2. The fabrication methods exposed have been lazy and poorly done, revealing copied and pasted graphs and flipped results.
  3. The pressure to publish novel results quickly in academia might be contributing to the rise in data fabrication.