Good News Sample — 16-Page Introduction to the Collection

A curated 16-page sample designed to give new readers a first look at the Good News Pack and its core message.

Download the original document (PDF)

Good News Sample — PDF (7.6 MB) — 16 pages, Jonah License with CC0 Public Domain

Filename: good-news-sample-mmv1-iv_llol_2025m12d04-16page.pdf

WebP preview (228 KB)

This document is also included in the files shared by all open letters.

— Overview AI-generated by dv_ClaOp46_ExhE_2026m04d14 —Start—

This 16-page sample pack introduces the Good News Pack collection to new readers. It provides a curated selection of content from across the collection, designed as the entry point for anyone encountering the project for the first time.

VVN: iv_llol_2025m12d04

Pages: 16

PDF size: 7.6 MB

WebP preview: 228 KB

Tip

For the full in-depth exhibit page for this document, see: Good News Sample — Full Exhibit Page.

This document is identical to the copy in the files shared by all open letters.

Related Documents

• Good News Sample — Full Exhibit Page

• Don’t Panic Guide — the songbook that sets the tone

• Open Letters — the full set of appeals

• Files Shared by All Open Letters — this sample is included with every mailing

— Overview AI-generated by dv_ClaOp46_ExhE_2026m04d14 —End—

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Notes

Content stability — Content is variant dv_ClaOp46_ExhE_2026m04d14 (see StayVS). Rebuilt 2026-05-18.

Expert Review Needed: Help Assess This Research and Its AI Overview

This page makes accessible one document from LLoL’s 6+ year wid-e research marathon on existential risk and ResearchCity. The PDF linked above is the original work; this page provides an overview.

The original research needs expert review. Download the PDF and bring your expertise to bear — whether you are a scientist, policy maker, theologian, peace activist, or concerned citizen. This research aims to find gentle kind reasonable ways to solve existential problems. Your perspective matters for assessing whether it succeeds.

The AI overview (see the markers) may need correction. AI may have blindly twisted the original message by emphasizing other aspects than the author would have. Important nuances may thus be missed or misrepresented. If you spot errors, missing context, or misplaced emphasis, your corrections help every future reader.

Despite all potential shortcomings of AI, AI was still used here because not saying anything about this document would have been even worse. A race against existential risks is not nuanced. Neither can be the determination to do the right thing - and get the word out to get help.

LLoL is determined to ask for such help. Hence this website to give the world a fair chance at exploring and reviewing LLoL’s ideas.

Use the FeedbackFlow link below to send your review — whether it concerns the original PDF, the AI overview, or both.

LLoL may drown for a while in the FF invited, but if people are indeed interested in making this work and avert accidental nuclear winter, then LLoL predicts that enough people will be happy to pay the about $8/year/person it will take to start scaling up ResearchCity, in order to help with the proper review of such wid-e research proposals for global decision-support like this one.

Hence, please consider that your buy-in with about $8/year will help to shift the global game from a so-called prisoner’s dilemma to an assurance game with the help of mathematical theology.

This work requires global support to avoid capture by special interests. Refining complex posters, engaging scholars across traditions, and running formal consistency checks all require sustained effort — as does scaling up a ResearchCity for global FeedbackFlows.

Let’s hope it’s not too late to fund this work!

FF FeedbackFlow to improve this page: How you can contribute

For the full guide on providing feedback — including how it is handled, licensing, and what to expect — see How to use FeedbackFlow.

Please check if See also on Balospe.com above already addresses your idea. Feedback works best when it targets the most specific page. If none of those pages help, you may have a good case for sending FF here.

To submit your FeedbackFlow:

1. Click anywhere on the email preview below to open a pre-filled email.

2. Replace the placeholder text with your feedback.

3. Send.

To: [email protected] CC: [email protected] Subject: FF k2 s2 AIMS for [mmv3-good-news-sample] Replace_by_OneLineSummary Body: To make this page [mmv3-good-news-sample] more gentle kind reasonable for beginners, producers, andOr experts with a background in xyz: Please consider improving this: -- By sending this email, I agree that its content may be published under the Jonah License (balospe.com/en/license/joli/) unless I state otherwise above. MailForm=OOv2r0p0

The email subject contains k2 and s2 — default codes for impact and urgency. Most contributors can leave these unchanged. To adjust each as independently as they are:

• Importance of impact: above average k3, average default k2, below average k1.

• Urgency of speedup: above average s3, average default s2, below average s1.

This allows plotting importance over urgency to help triage FF. For more details see FF System Design.