WaldoGame Cards — Draft Memory Game for 7TrackRoles#

16 draft memory-game cards (two sets of 8) for learning the 7Tribes and 7TrackRoleSociety roles through play.

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WaldoGame Cards — Draft Memory Game for 7TrackRoles

— Overview AI-generated by dv_ClaOp46Max_MMv2_2026m04d02 —Start—

Abstract#

This document presents 16 draft memory-game cards for the WaldoGame — a card-based learning tool for the 7Tribes (7Tr) model. The cards are organized in two parallel sets of 8 cards each:

  • 7Tribes set (top two rows): Uses the tribal names directly (Amorite, Hittite, Canaanite, Pherezite, Jebusite, Hivite, Girgashite, Hebrew) with their literal translation as the card name.

  • 7TrackRoleSociety set (bottom two rows): Uses the functional societal role names (PowerElite, RiskReducer, Distributor, PureExpert, RoutineMarket, TempRotator, IgnoredOthered, AnyRoleWalker) with the same card-name translations.

Each card displays a consistent structure:

  • Role number and binary code (e.g., AMO = 001, HIT = 010)

  • Set name (7Tribes or 7TrackRoleSociety)

  • Card name (the literal tribe name translation)

  • Strengths (marked with +): positive traits of the role

  • Weaknesses (marked with -): shadow traits and temptations

  • Historical parallel (@ 30 CE): mapping to groups at Jesus’ time (e.g., AMO = Caesar/Rome, HIT = Soldiers, CAN = Taxdealers, PHE = Sadducees, JEB = Pharisees, HIV = TheStruggling, GIR = Galileans, HEB = Samaritans??)

The cards are color-coded by role, with each card also showing Aims dimensions (Ease, Fast) and game parameters (Mol, Ash, BA).

Key Concepts at a Glance#

WaldoGame

A memory-game format for learning the 7Tribes model through matching pairs — tribal names to societal function names

Binary encoding

Each role has a 3-bit binary code (e.g., AMO=001, HIT=010, CAN=011) reflecting a systematic ordering of the roles

Dual naming

Every role has two perspectives: the tribal name (historical origin) and the societal function name (modern application)

30 CE parallels

Each role is mapped to a group from Jesus’ time, showing the model’s claim to describe recurring social patterns across history

Strengths/Weaknesses

Each card explicitly lists both the constructive and destructive potential of each role, emphasizing that no role is inherently good or bad

Mol/Ash/BA

Game parameters related to the Moloch, Asherah, and Baal idolatry patterns (OverReach, OverSimplify, OverComplicate)

Broader Significance (Claude’s Assessment)#

This document is notable as a pedagogical tool within the Good News Pack:

  1. Learning through play. By encoding the 7Tribes model into a memory-game format, LLoL creates an accessible entry point that does not require reading dense theological or systems-theory text. The matching mechanic (tribal name to societal function) reinforces the core insight that ancient patterns describe modern roles.

  2. Systematic binary encoding. The 3-bit codes assigned to each role (001 through 111, plus special codes for HEB and ISR) suggest an underlying mathematical structure that maps to the Mol/Ash/BA idolatry dimensions — connecting the roles to the broader anti-idolatry framework.

  3. Historical grounding. The “@ 30 CE” mappings (Caesar/Rome for AMO, Soldiers for HIT, Pharisees for JEB, etc.) provide concrete historical examples that make the abstract model tangible, while the “Samaritans??” notation for HEB honestly signals uncertainty.

  4. Draft status. The PPv0r1p2 version identifier indicates this is an early draft, consistent with the exploratory nature of a game design that would need playtesting to refine.

Document Information#

Document ID

WaldoGame Cards (Extra Good News)

Full title

7Tribes Memory Game Draft Cards for 7Tr WaldoGame

Author

Laurence Loewe of Laodicea (LLoL)

Date

2022-11-21

Version

PPv0r1p2_2022m11d21

Format

16 cards on 1 page (2 sets of 8 cards each)

License

Jonah License with CC0 Public Domain

Part of

Good News Pack MMv3, Extra Good News collection

PDF size

89 KB

Related documents in the Good News Pack:

— Overview AI-generated by dv_ClaOp46Max_MMv2_2026m04d02 —End—

Notes

Content stability — Content is variant dv_ClaOp46Max_MMv2_2026m04d02 (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.

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

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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.

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