Appendix E — Dependency Table and Scenario Planning
This appendix maps all 51 chapters to historical era, difficulty, prerequisites, and unlocks, then replaces the former universal rebuild schedule with scenario-dependent planning bands. These bands are not forecasts or critical-path dates.
E.1 Chapter Dependency Table
Chapters 1–47 form the core manual. Chapters 48–51 are an optional defense annex and are excluded from the core planning graph.
| Ch | Title (short) | Historical development band | Difficulty | Requires | Unlocks |
|---|---|---|---|---|---|
| 1 | Fire | ~400 kya | low | — | 2, 5, 7, heat everywhere |
| 2 | Toolkit | paleolithic | mid | 1 | 3, 4, 6 |
| 3 | Cordage/textiles | upper paleolithic | low | 2 | 4, 6, 8, belts/sails |
| 4 | Food acquisition/preservation | mesolithic | low–mid | 2, 3 | surplus → 7, 9 |
| 5 | Pottery | ~20 kya | low–mid | 1 | storage → 7, crucibles → 10/14 |
| 6 | Shelter/settlement | neolithic | low–mid | 2, 3, 5 | granaries, villages |
| 7 | Agriculture | ~10 kya | mid | 1, 5, 6 | population engine |
| 8 | Animals/draft | ~12 kya | mid | 3, 4, 7 | traction, manure loop |
| 9 | Trade/money | bronze age | low–mid | 7, 8 | specialization at scale |
| 10 | Copper/bronze | ~5000 BCE | mid | 1, 2, 5; basic surface ore selection | furnace skills; industrial mining |
| 11 | Writing | ~3200 BCE | low–mid | 9 | administration, 12, 18 |
| 12 | Math | 3000 BCE–1700 CE | mid | 11 | engineering cognition |
| 13 | Mining | ~4000 BCE | mid | 1, 2, 5, 6 | industrial 10/14; 21/28 feedstock |
| 14 | Iron/steel craft | ~1200 BCE | mid–high | 1, 2, 5, 10, 13 | 15 precision tools; 22 scale-up |
| 15 | Mechanisms/lathe | ancient→1800 | mid | 12, 14 | machine culture |
| 16 | Mills | ~300 BCE–1200 CE | mid | 3, 14, 15 | proto-industry power |
| 17 | Craft chemistry | ancient→1600s | mid | 5, 13 | 19 optics; 21 industrial chemistry; 30/31 hygiene |
| 18 | Printing | 1450s | mid | 11, 15, 16 | knowledge cost collapse |
| 19 | Optics | 1280→1670s | mid | 12, 15, 17 | astronomy/microscopy |
| 20 | Instruments/method | 1600→1900 | mid–high | 15, 17, 18, 19 | 21+ measurement and method |
| 21 | Powder/acids | 850→1860s | mid–high | 13, 17 | mining + heavy chemicals |
| 22 | Coke iron | 1709→1850s | mid–high | 14, 13, 16 | cheap metal era |
| 23 | Steam engines | 1698→1900s | high | 22, 15, 20 | power anywhere |
| 24 | Canals/roads/rails | ancient→1900 | mid | 23, 22, 9 | national markets |
| 25 | Electricity I | 1745→1866 | mid–high | 15, 17, 20 | electromagnetism mastery |
| 26 | Electricity II/grids | 1866→1900 | high | 25, 23, 22 | universal power socket |
| 27 | Steel/concrete | 1856→1950s | high | 22, 21, 20 | structural abundance |
| 28 | Petroleum | 1859→1940s | high | 13, 21, 23 | transport fuels |
| 29 | ICE/vehicles | 1876→1950s | high | 28, 27, 15 | mobility revolution |
| 30 | Sanitation/germs | 1847→1920s | mid | 17, 19, 20, 21 | survivable cities |
| 31 | Clinical medicine | 1846→1960s | high | 30, 21, 28 | individual survival tech |
| 32 | Green Revolution | 1909→1970s | high | 21, 29, 30 | nitrogen wall broken |
| 33 | Flight | 1853→1960s | extreme | 20, 27, 29; Ch 38 optional jump | air transport/aerospace path |
| 34 | Vacuum-tube electronics | 1887→1950s | high | 25, 26, 17 | signal shaping concepts |
| 35 | Transistors/ICs | 1947→1971+ | extreme | 20, 21, 34 | computation collapse |
| 36 | Computers/software | 1854→1980s | extreme | 18, 35 | thought automation |
| 37 | Fission | 1896→1980s | extreme | 20, 27, 13 | dense power/isotopes |
| 38 | Polymers/composites | 1839→present | high | 21, 26, 28, 35 | materials catalog |
| 39 | Rocketry/orbit | 1926→present | extreme | 20, 27, 29, 36, 38 | space access |
| 40 | Satellites | 1957→present | extreme | 39, 34, 35 | planetary nervous system |
| 41 | Fiber optics | 1966→present | high | 17, 26, 34, 35 | bandwidth civilization |
| 42 | Internet/cloud | 1969→present | extreme | 26, 36, 41 | real-time coordination |
| 43 | Energy portfolio | 1954→present | high | 26, 35, 37 | abundance pricing |
| 44 | Biotech | 1865→present | extreme | 30, 31, 35 | read-write genome |
| 45 | Robotics | 1788→present | high | 15, 35, 36, 43 | labor automation |
| 46 | Machine intelligence | 1958→present | extreme | 12, 35, 42 | domain automation/cognition infrastructure |
| 47 | Institutions | 1300→present | high | 9, 11, 12 | scale itself |
| 48 | Fortification/siegecraft | ~8000 BCE→20th c. | mid | 6, 13, 21 | state fiscal systems |
| 49 | Gunpowder weapons | 10th c. China→20th c. | mid–high | 21, 14/27, 15 | industrial war; armory precision |
| 50 | Naval power | Salamis→present | high | 3, 17/21, 23/24, 34/35 | global projection |
| 51 | Industrial war/org tech | 1590s drill→present | high | 9, 11/47, 24, 49 | modern state capacity itself |
E.2 Scenario-Dependent Planning Model
A calendar is not a dependency analysis. The same technology can take one generation or several depending on population, resources, institutions, education, finance, war, famine, climate, and whether the knowledge survives. The former single “500-year” estimate assumed a large starting population and competent governance while claiming no inherited industry—conditions that already contain major social capital.
This edition therefore provides scenario bands, exit evidence, and bottleneck categories rather than universal dates.
E.2.1 Planning inputs
Every schedule must state:
- starting population and age structure;
- local food, water, fuel, ore, timber, minerals, and energy resources;
- surviving literate, technical, medical, and organisational capacity;
- settlement pattern, transport geography, and climate;
- finance, property, dispute-resolution, and record systems;
- ability to enforce safety and environmental limits;
- access to technical books, test equipment, calibration, and replacement parts;
- inherited assets and their hazards (salvageable metal, machines, seeds, medicines) and which easy resources are already depleted (Appendix D §D.6);
- strategic reserves and recovery plans for crop, tool, medicine, and energy failure;
- external conflict, migration, trade, and epidemic risk.
E.2.2 Bottleneck categories
| Bottleneck | Typical symptom | Evidence needed |
|---|---|---|
| Population and food | specialists cannot be sustained through bad seasons | reliable reserves, productivity, labour and age data |
| Tacit skill | apprentices can copy objects but not diagnose variation | supervised production, measured yield, qualified teachers |
| Energy | machinery exists but cannot run continuously | reliable fuel, power, heat, maintenance, storage |
| Materials | one ore, grade, or supplier blocks production | qualified alternatives, strategic stock, substitution test |
| Measurement | parts and processes cannot be compared | traceable standards, instruments, calibration records |
| Institutions | projects fund construction but not maintenance | named owner, lifecycle budget, audit, succession |
| Public health | labour loss and contamination rise | water, waste, disease, vaccination, cold-chain evidence |
| Information | knowledge is copied but not validated | archive, edition control, independent test and revision |
| Safety | accidents are treated as isolated bad luck | hazard register, controls, incident learning, independent review |
| Environment | resource base or system output degrades | measured flows, limits, restoration and substitution plans |
E.2.3 Gate record
At each capability gate, record:
- current output and uncertainty;
- next acceptance test;
- hard prerequisite;
- named responsible organisation;
- workforce and competence requirement;
- material and energy budget;
- maintenance interval;
- failure and recovery plan;
- independent review date;
- scenario assumptions that would invalidate the plan.
E.2.4 What can still be estimated responsibly
A project planner may estimate duration for a specific scenario using:
- demonstrated historical build rates;
- current workforce and equipment;
- learning curves with confidence ranges;
- resource and logistics throughput;
- explicit failure and restart assumptions;
- sensitivity to famine, war, epidemic, and migration.
The result should be a range with scenarios, not a single date. A useful model answers: “Under these assumptions, which capability is the next binding constraint, and what evidence would change the answer?” It does not convert incomplete knowledge into a universal timetable.
E.3 Planning Record Template
| Field | Current value | Evidence | Confidence | Owner | Review date |
|---|---|---|---|---|---|
| Scenario | |||||
| Highest complete gate | |||||
| Next gate | |||||
| Binding constraint | |||||
| Acceptance test | |||||
| Safety / environmental review | |||||
| Failure recovery | |||||
| Estimated duration range | |||||
| Assumptions to test |