Speculative Analysis
Input: $ARGUMENTS
Step 1: State the Speculation Clearly
Articulate the speculative idea in precise terms.
- Write it as a single declarative statement
- Bad: “What if AI gets really smart?”
- Good: “What if general-purpose AI systems exceed human cognitive ability across all domains by 2035?”
- Identify the type of speculation:
- Technological: A future capability or invention
- Social: A shift in human behavior or institutions
- Scientific: An undiscovered law or phenomenon
- Personal: A hypothetical life path or decision outcome
- Counterfactual: An alternate history (“what if X had happened instead?”)
- Note the time horizon (if applicable)
SPECULATION: [precise statement]
TYPE: [technological / social / scientific / personal / counterfactual]
HORIZON: [timeframe or N/A]
Step 2: Identify Prerequisites
List everything that would need to be true for this speculation to hold.
- Necessary conditions: What MUST be true?
- Enabling conditions: What would make it much more likely?
- Blocking conditions: What must NOT be true?
For each prerequisite:
- State it clearly
- Note whether it is currently true, plausible, or implausible
- Note any dependencies between prerequisites (does A require B first?)
PREREQUISITES:
1. [prerequisite] — Status: [true / plausible / implausible]
2. [prerequisite] — Status: [true / plausible / implausible]
...
Step 3: Assess Plausibility of Each Prerequisite
For each prerequisite from Step 2:
- What evidence exists for or against it?
- What is the base rate for similar things being true?
- Are there known mechanisms that would support it?
- Are there known barriers that would block it?
Rate each: HIGH (>70%), MODERATE (30-70%), LOW (<30%)
The overall plausibility cannot exceed the weakest necessary condition. If any necessary prerequisite is LOW, the speculation is LOW regardless of other factors.
Step 4: Explore Implications If True
Assuming the speculation IS true, trace consequences:
- First-order effects: What changes immediately and directly?
- Second-order effects: What do those changes cause?
- Third-order effects: What emerges from the second-order changes?
- Who benefits? Who is harmed?
- What becomes possible that wasn’t before?
- What becomes impossible or obsolete?
Flag any implications that are themselves speculative vs. near-certain given the premise.
Step 5: Identify How to Test or Falsify
Design ways to check whether the speculation is on track:
- Leading indicators: What early signs would suggest this is becoming true?
- Falsification criteria: What evidence would conclusively disprove it?
- Key milestones: What intermediate events should happen along the way?
- Observable predictions: What specific, checkable predictions does this generate?
TESTABLE PREDICTIONS:
- By [date/condition]: [specific observable outcome]
- If FALSE, we would expect: [specific counter-evidence]
Step 6: Rate Overall Plausibility
Synthesize into a final assessment:
PLAUSIBILITY RATING: [HIGH / MODERATE / LOW / VERY LOW]
REASONING:
- Strongest support: [what makes this most plausible]
- Weakest link: [the prerequisite or assumption most likely to fail]
- Key uncertainty: [what we most need to learn]
VERDICT: [One-sentence summary of whether this speculation deserves
serious consideration, casual interest, or dismissal]
Integration
Use with:
/ht-> Formally test the most critical prerequisite/se-> Explore the solution space if the speculation is true/rwif-> Design real-world actions based on the speculation/sp-> Sharpen the speculative question before analysis