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Epstein files reveal deeper ties to scientists than previously known

https://www.nature.com/articles/d41586-026-00388-0
1•XzetaU8•1m ago•0 comments

Red teamers arrested conducting a penetration test

https://www.infosecinstitute.com/podcast/red-teamers-arrested-conducting-a-penetration-test/
1•begueradj•8m ago•0 comments

Show HN: Open-source AI powered Kubernetes IDE

https://github.com/agentkube/agentkube
1•saiyampathak•12m ago•0 comments

Show HN: Lucid – Use LLM hallucination to generate verified software specs

https://github.com/gtsbahamas/hallucination-reversing-system
1•tywells•14m ago•0 comments

AI Doesn't Write Every Framework Equally Well

https://x.com/SevenviewSteve/article/2019601506429730976
1•Osiris30•17m ago•0 comments

Aisbf – an intelligent routing proxy for OpenAI compatible clients

https://pypi.org/project/aisbf/
1•nextime•18m ago•1 comments

Let's handle 1M requests per second

https://www.youtube.com/watch?v=W4EwfEU8CGA
1•4pkjai•19m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
1•zhizhenchi•19m ago•0 comments

Goal: Ship 1M Lines of Code Daily

2•feastingonslop•29m ago•0 comments

Show HN: Codex-mem, 90% fewer tokens for Codex

https://github.com/StartripAI/codex-mem
1•alfredray•32m ago•0 comments

FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
1•sachuin23•35m ago•1 comments

LineageOS 23.2

https://lineageos.org/Changelog-31/
1•pentagrama•39m ago•0 comments

Crypto Deposit Frauds

2•wwdesouza•40m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
2•lostlogin•40m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•42m ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•43m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•44m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•44m ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•46m ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•47m ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•1h ago•1 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•1h ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•1h ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•1h ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•1h ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•1h ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•1h ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•1h ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•1h ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•1h ago•0 comments
Open in hackernews

Trailer for the No Bullshit Guide to Statistics [video]

https://www.youtube.com/watch?v=Jb72yqBmDIM
2•ivan_ah•2mo ago

Comments

ivan_ah•2mo ago
See also announce blog post: https://news.ycombinator.com/item?id=45543069

Direct links to previews PDFs: - Part 1: https://minireference.com/static/excerpts/noBSstats_part1_pr... [223pp, 9MB] - Part 2: https://minireference.com/static/excerpts/noBSstats_part2_pr... [191pp, 16MB]

Concept maps: https://minireference.com/static/conceptmaps/statistics_conc...

Would love to hear your feedback.

jackallis•2mo ago
i have not not looked at any of the the video, chapter or the links. this is off-the-cuff question, why another statistics book? what so "no-bullshit" about it?
ivan_ah•2mo ago
Good question. I had to think about it.

In general, the No Bullshit Guide textbooks (of which there are four) differ from other textbooks by being intensely focussed on learner needs: they are written in a conversational stile, get to the point, explain the WHY? behind concepts, and focus on applications rather than theory and formal proofs

This book specifically is special because it uses a computational approach to explain the core ideas of statistics like sampling distributions. Think for loop that generates random samples, computes their means, and plots the results. This allows readers to understand what's going on directly rather than rely on formulas or predefined procedures (recipes) for statistical analysis. See here for more about the UVP of this book: https://minireference.com/blog/nobsstats-sales-pitch/#:~:tex...