The hottest Data Analysis Substack posts right now

And their main takeaways
Category
Top Technology Topics

An effort to Educate Massachusetts State Reps hamstrung by biased reporting

An Insult to Intuition • 1277 implied HN points • 22 May 23
🏥 Health Politics Public Health Vaccination Data Analysis Government Response Media Coverage
  1. An effort to educate Massachusetts State Reps about proposed bills protecting individual rights faced challenges with low attendance from legislators.
  2. The presentation highlighted concerns about the safety and efficacy of mRNA vaccines, questioning the data and potential negative outcomes.
  3. Issues were raised about biased reporting by a news service, labeling presenters as 'vaccine skeptics' and not fully representing their evidence-based arguments.

chainEDGE 3.0 Is Live

Onchain Wizard's Cauldron • 137 implied HN points • 02 Feb 24
🕹 Technology Data Analysis Cryptocurrency Web Development User Interface Trading
  1. The chainEDGE 3.0 update brings significant improvements for users, including enhanced UI and filtering options.
  2. The new version features tools like auto-filtering of low liquidity tokens and detailed insights into smart money swaps.
  3. chainEDGE 3.0 offers optimized token and wallet pages, along with a Portfolio God dashboard for sorting and filtering smart money holdings.
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Creating Individualised Chess Engines

Chess Engine Lab • 39 implied HN points • 26 Mar 24
🕹 Technology Artificial Intelligence Data Analysis Programming Chess Machine Learning
  1. An engine called Maia focused on predicting human moves accurately instead of just being the strongest in chess, resulting in a more meaningful impact, especially for club-level players.
  2. By individualizing chess engines to predict moves of specific players, accuracy can be increased by 4-5% and players can be identified with 98% accuracy from a pool of 400, based on their game patterns.
  3. Identifying players through their mistakes is a crucial aspect - as mistakes are unique to individual players, understanding and fixing them can greatly aid in chess improvement.

455: Rolex Pricing, Jensen & Nvidia, China Chip Ban 1.5, Costco, Google Maps to Optimize Cities, Bicycle for the Mind, and Beckham

Liberty’s Highlights • 452 implied HN points • 18 Oct 23
🕹 Technology Chips Algorithms Data Analysis Artificial Intelligence Tech Companies
  1. It's liberating to realize that most fields are understandable to an interested outsider, focusing on big ideas.
  2. Exploring new fields and combining knowledge from different areas can lead to rich and interesting discoveries.
  3. Taking calculated risks and thorough preparation can lead to successful outcomes in business decisions, like pushing all the chips in.

Prompt Engineering with GPT-4: Charting and Mapping European Tourism Trends

Data at Depth • 19 implied HN points • 11 Apr 24
🕹 Technology Data Analysis Data Visualization Artificial Intelligence Programming Web Development
  1. Efficiency is highly sought after state of being for coders and data analysts. GPT-4's Code Interpreter functionality significantly streamlines the process of transforming CSV data into data visualizations.
  2. GPT-4 can generate Python code for various types of data visualizations like line charts, bar charts, and area charts. Simply prompting GPT-4 with specific information can quickly produce comprehensive visualizations.
  3. GPT-4 can be utilized to filter datasets, analyze trends, and create innovative visual representations like choropleth maps. Incorporating GPT-4 into data analysis workflows can lead to faster and efficient results.

Getting to the Root of Engineering Improvement with DORA Core

Dev Interrupted • 177 implied HN points • 04 Jan 24
🕹 Technology Development Research Data Analysis
  1. DORA Core offers a concise framework of capabilities, metrics, and outcomes to help teams apply research findings.
  2. DORA constantly updates its methodology to keep pace with technological changes and evolving practices.
  3. The DORA Core model shows how capabilities predict performance, which then predicts outcomes, aiding in continuous improvement efforts.

Difference-in-Differences: No Anticipation with Parallel Trends (with a simulation and equations)

Scott's Substack • 117 implied HN points • 31 Jan 24
🔬 Science Causal Inference Statistics Simulation Data Analysis
  1. No anticipation means the baseline period is equal to Y(0) not Y(1)
  2. Difference-in-differences coefficient equals ATT in the post period for the treatment group plus parallel trends bias minus ATT in the incorrectly specified baseline period
  3. Difference-in-differences always requires three assumptions to point identify the ATT: SUTVA, Parallel trends, and No Anticipation

How dbt succeeds

benn.substack • 991 implied HN points • 14 Apr 23
💼 Business Data Analysis Technology Competition Monetization Acquisition
  1. dbt Labs' success has had a significant impact on people's lives by providing better job opportunities and higher salaries in the data industry.
  2. Despite its success, dbt Labs may face increasing competition in the future from startups and other companies that are challenging its position in the market.
  3. dbt Labs could consider evolving its business strategy by focusing on its community, exploring new product opportunities, or even exploring options like selling the company to better align with market trends and potential challenges.

Online Reviews: An Untapped Resource for UX Research?

UX Psychology • 119 implied HN points • 26 Jan 24
🕹 Technology UX Research Data Analysis User Feedback Competitor Analysis Ethical considerations
  1. Online reviews offer easy access to real user feedback, going beyond predefined questions and providing insights into user profiles and product features that traditional research may miss.
  2. Large datasets from online reviews allow for analysis at a vast scale, enabling the discovery of weak signals affecting small user subsets that traditional research could overlook, especially in companies with limited research budgets.
  3. Sentiment analysis of online reviews can uncover user frustrations, needs, and pain points, helping identify where experiences fall short of expectations and providing insights into specific features and aspects of the user experience.

Last word on LNT

Gordian Knot News • 139 implied HN points • 14 Jan 24
🔬 Science Research Data Analysis
  1. Linear No-Threshold (LNT) model in radiation exposure prediction is criticized for being inaccurate.
  2. Comparing different dose rate profiles with the same total dose is crucial to understanding radiation harm models.
  3. Dose rate is a critical factor in DNA damage repair, impacting cancer incidence predictions in radiation exposure.

How many games do PC/console players own, & do they 'main' just one?

The GameDiscoverCo newsletter • 294 implied HN points • 30 Oct 23
🕹 Technology Gaming Data Analysis
  1. PC and console players tend to own a large number of games, with varying preferences on the amount of games owned
  2. Steam players show a trend where the number of games owned impacts the diversity of playtime spent on each game
  3. Console players, such as Xbox and PlayStation users, display different patterns in game ownership compared to Steam users

Exploring recent Python repositories, part 2

Mostly Python • 628 implied HN points • 29 Jun 23
🕹 Technology Programming Open Source Software Development Data Analysis Web Development
  1. The post explores new Python repositories that have gained just a small number of stars, filtering out the projects with no attention.
  2. Over 300,000 Python repositories are pushed to GitHub each month, showing the challenge of getting noticed among the vast amount of projects.
  3. Projects with a few stars can still be interesting and worth exploring, like a Pygame project inspired by Factorio.

RLHF progress: Scaling DPO to 70B, DPO vs PPO update, Tülu 2, Zephyr-β, meaningful evaluation, data contamination

Democratizing Automation • 213 implied HN points • 22 Nov 23
🕹 Technology AI Deep Learning Research Data Analysis Models
  1. Reinforcement learning from human feedback (RLHF) is a technology that is still unknown and undocumented.
  2. Scaling DPO to 70B parameters showed strong performance by directly integrating the data and using lower learning rates.
  3. DPO and PPO have differences in their approaches, with DPO showing potential for enhancing chat evaluations and happy users of Tulu and Zephyr models.

k-Core Decomposition

Graphs For Science • 52 implied HN points • 24 Feb 24
🔬 Science Graph Theory Algorithms Data Analysis
  1. k-Core Decomposition is a way to explore the structure of networks by identifying the largest subgraph where every node has a specified minimum degree.
  2. The k-Core Decomposition algorithm involves recursively removing nodes with degrees lower than a specified threshold to reveal the k-core and k-shell structure of a graph.
  3. The degree of a node in a k-core doesn't have an upper limit, providing unique insights into network connectivity beyond traditional degree-based analysis.

Love, happiness, blessings, and spam

Conspirador Norteño • 30 implied HN points • 16 Mar 24
🕹 Technology Social media Artificial Intelligence Data Analysis Content creation Social media Data Analysis Fake Accounts
  1. Spam accounts use repetitive and fake positive messages to amplify content, making it appear more popular than it actually is.
  2. Researchers are now facing difficulties in mapping out spam account networks due to limitations in data access.
  3. Spam network accounts use GAN-generated faces and peculiar vowels in account names, creating an association with suspended spam networks.

Microsoft Sentinel SOC 101: Detecting and Mitigating Spear Phishing with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 12 Feb 24
🕹 Technology Cybersecurity Cloud Computing Data Analysis Automation Best Practices
  1. Spear phishing is a serious cyber-attack that targets specific individuals or organizations. Microsoft Sentinel's tools can help detect and prevent these types of threats.
  2. Microsoft Sentinel allows for the creation of custom analytics rules based on KQL queries to identify potential spear phishing activities. This helps in early detection of threats.
  3. Automation and playbooks in Microsoft Sentinel enable immediate responses like blocking URLs or initiating password resets upon detecting a spear phishing attempt.

Unraveling Alzheimer's Inequalities: From New Drugs to Healthcare Disparities

American Inequality • 393 implied HN points • 07 Aug 23
🏥 Health & Wellness Alzheimer's Healthcare Inequality Data Analysis Caregiving
  1. Alzheimer's is a major problem in the US, affecting millions and expected to double in the next 25 years.
  2. Inequality plays a significant role in Alzheimer's, with different communities and demographics being impacted differently.
  3. More focus is needed on training caregivers, analyzing data on minority communities, and educating about new drugs to address Alzheimer's inequalities.

How To Do a Root Cause Analysis - Issue 162

Data Analysis Journal • 275 implied HN points • 20 Sep 23
🕹 Technology Data Analysis Framework KPIs User Behavior
  1. Root cause analysis is essential for understanding unexpected changes in user behavior or metric decline.
  2. Tools like Root Cause Analysis (RCA) can pinpoint anomalies quickly, but additional work is needed to truly understand why something is happening.
  3. Analyzing the 'what' and 'why' behind metrics decline or user behavior change requires a comprehensive framework.

Assessing the ROI of Data

The Data Score • 98 implied HN points • 03 Jan 24
💼 Business Data Analysis Data products
  1. Raw data is a cost; insights have value. The process of transforming raw data into insight-ready data is crucial for generating value.
  2. Assess the return on investment in data by considering how many decisions can be influenced and understanding the limitations of the data. Data that positively impacts decisions increases its value.
  3. Understand the cost of data investment, including sourcing, loading, and transforming data. Consider the ease of integrating data and the importance of insights generated over time.