Chapter 13: Reason Matching Mechanism | StructLang

Introduction: What Is Thinking?

When asked “Why were you late today?”, how would you answer?

• “Because of traffic.”
• “Because my alarm didn’t go off.”
• “Because I didn’t sleep well last night.”
• “Because this meeting isn’t important.”

Each answer “makes sense,” but you’d give different reasons depending on who’s asking (boss, colleague, friend).

When facing “How can I avoid being late?”, what would you consider?

• “Leave earlier.”
• “Take a different route.”
• “Buy a louder alarm.”
• “Live closer to the office.”

Each solution is “feasible,” but you’d choose different paths based on resources (money, time), environment (housing prices, commute).

These two thinking activities seem different, but are essentially the same: both are reason matching.

Traditional epistemology tells us:

• “Why” discovers the real cause
• “How” finds the correct method
• Rational thinking leads to unique truth

But within the StructLang framework, the truth is completely different:

Thinking is not discovery, but matching.

You’re not “discovering” why you were late, but among many possible reasons, matching one that “makes sense” in the current situation.

You’re not “finding” the only correct method, but among possible paths, matching one that’s “feasible” under current conditions.

This chapter reveals the real mechanism of thinking, showing how “why” and “how” operate within the same framework.

Scope of Reason Matching

Reason matching discussed in this chapter specifically refers to two types of basic reasoning activities:

• Retrospective reasoning (“Why”)
• Prospective planning (“How”)

Reason matching isn’t all thinking, but it’s the core mechanism of human reasoning activity.

Human thinking also includes other types:

• Recognition & classification (“What is it”) — discussed in Chapter 2 point structure
• Analogy & metaphor (“What is it like”) — involves structure matching
• Value judgment (“Is it good”) — discussed in Chapter 3 line structure
• Direct perception (seeing, hearing, feeling) — raw layer of manifestation
• Memory recall — time window switching, structure matching
• Epiphany understanding — structure matching, structural leap

Others are either variants/combinations of these, or more automatic neural processes (like association), not active thinking.

Section 1: Essence of Thinking—Reason Matching

Definition of Reason Matching

Before starting, we need to clearly define what reason matching is:

Reason matching: Under intention drive, based on currently available materials (knowledge, experience, causal impressions), under constraints (resources, time, environment), the cognitive process of generating or matching an explanation or path that “makes sense.”

Let’s unpack this definition:

“Under intention drive” (see Chapters 1-2):

• Without intention, there’s no direction for thinking
• Different intentions lead to different reason matching
• Asking boss vs. asking friend, different intentions, different reasons

“Based on currently available materials”:

• Knowledge structures: Theories and concepts you’ve learned (see Chapter 9)
• Experience structures: Events and patterns you’ve experienced (see Chapter 9)
• Causal impressions: High-frequency stable connections you’ve formed (see Chapter 9)

“Under constraints”:

• Resources: What you have available (money, tools, connections)
• Time: Your time window length (see Chapter 22)
• Environment: What situation you’re in

“Generate or match”:

• Sometimes directly invoke ready-made reasons (matching)
• Sometimes combine multiple causal impressions to generate new reasons (generation)

“Makes sense”:

• Not “objectively true”
• But “rationalized” in current manifestation
• Can be self-consistent, can explain, can persuade

Difference Between Reason Matching and Traditional “Thinking”

Core difference:

Traditional view thinks “Why does it rain?” has a “real cause” waiting to be discovered.

Reason matching framework thinks:

• Physical origin: “Because water vapor condenses”
• Agricultural origin: “Because monsoon arrives”
• Mythological origin: “Because dragon king sends rain”
• Personal origin: “Because I forgot my umbrella”

Each reason is “correct”, depending on:

• What’s your intention (explaining physical phenomenon? Planning farming? Emotional venting?)
• What knowledge do you have (physics? meteorology? mythology?)
• What’s your origin (see Chapter 2)

No “real cause” transcending conditions

Two Directions of Reason Matching

Reason matching has two directions, corresponding to two basic thinking activities:

        Causal impression: A → B
              ↓
    ┌─────────┴─────────┐
    ↓                   ↓
Match to past          Match to future
"Why B?"              "How to get B?"
(Retrospective)       (Planning)

To the past: Match causes for events that already happened

• Event E already manifested
• Search in causal impression library: What→E
• This is “why”

To the future: Match paths for desired goals

• Goal G not yet manifested
• Search in causal impression library: Current→What→G
• This is “how”

Essentially same mechanism applied bidirectionally

Section 2: Conditional Dependence of Reasons

Reasons aren’t “objectively discovered,” but “conditional products.” Under different conditions, different reasons inevitably arise.

Three-Layer Structure of Conditions

Reason matching depends on three types of conditions:

1. Subject Internal Conditions

Intention (Chapters 1-2):

• Why ask this question?
• What goal to achieve?
• Different intentions→different origins→different reasons

Example:

Same question: "Why did the project fail?"

Boss's intention: Accountability → "Because team didn't work hard"
Employee's intention: Self-protection → "Because insufficient resources"
Consultant's intention: Improvement → "Because process has problems"
Investor's intention: Cut losses → "Because market timing was wrong"

Knowledge structures (Chapter 9):

• What theories did you learn?
• What concepts do you master?
• Knowledge framework determines available reason types

Example:

Same phenomenon: Person gets sick

Ancient Greek doctor: Four humors theory → "Humoral imbalance"
Traditional Chinese medicine: Yin-Yang five elements → "Qi-blood obstruction"
Modern doctor: Microbiology → "Bacterial infection"
Witch doctor: Soul theory → "Evil spirit possession"

Experience structures (Chapter 9):

• What did you experience?
• What causal impressions did you form?
• Experience determines invokable patterns

Example:

Question: "How to succeed?"

Successful entrepreneur's experience: Risk-taking + persistence
Employee's experience: Stability + obedience
Investor's experience: Choose right track
Failed person's experience: Avoid my mistakes

Different experiences→different causal impressions→different solutions

2. Subject External Conditions

Environment:

• Physical environment (climate, terrain)
• Social environment (culture, institutions)
• Technical environment (tools, equipment)

Example:

Question: "How to move quickly?"

Ancient environment: Horse carriage, boat
Modern environment: Car, plane
Future environment: Teleportation?

Environment determines feasible paths

Available resources:

• Material resources (money, goods)
• Human resources (connections, team)
• Information resources (data, knowledge)

Example:

Question: "How to treat illness?"

Have money: Go to best hospital
No money: Buy cheap medicine
Extreme poverty: Find folk remedies, rely on self-healing

Resources determine selectable options

External structures (Chapter 14):

• Existing social structures
• Established power relationships
• Borrowable institutions

Example (fake dog refund case, Chapter 10):

Question: "How to get refund?"

External structures I invoked:
- Industrial and commercial supervision system
- Mayor's hotline deterrence
- Law as highest-weight origin

Different external structures→different pressure paths

3. Time Constraints

Time window (Chapter 22):

• How much available time?
• Time window determines explorable depth
• Short window→quickly match familiar reasons
• Long window→deeply search new reasons

Example:

Boss asks: "Why did it go wrong?"

5-second answer: "I wasn't careful" (quick match)
5-minute answer: "Because process has loopholes" (analysis)
5-hour answer: "Systematic cause analysis report" (deep dive)

Time window determines reason refinement

Formalized Expression of Condition Interaction

We can symbolically express condition dependence of reason matching:

Reason(R) = f(Ic, Kc, Ec | Env, Res, Es | Tw)

Where:
Ic  = Intention condition
Kc  = Knowledge condition
Ec  = Experience condition
Env = Environment condition
Res = Resources condition
Es  = External structure condition
Tw  = Time window

Symbol "|" means "constrained by".

Verbal expression:
Matched reason R is function output generated from intention, knowledge, experience constrained by environment, resources, external structures, within specific time window.

Key insight:

Change any one condition, reason changes.

No “unique correct reason transcending conditions” exists.

Case of Condition Change: Disease Treatment

Let’s see through complete case how conditions interact to affect reasons:

Question: Person has fever, what to do?

Key Insights

Not “modern medicine discovered truth, ancient medicine was wrong”

But rather:

• Different conditions matched different reasons
• Modern medicine’s reasons stable and effective under more conditions
• But still “reasons matched under current knowledge, technical conditions”
• Future may have completely different reason systems

Each era’s reasons are “rationalization” results under its conditions

Section 3: “Why”—Reason Matching to the Past

Mechanism of “Why”

When you ask “why,” what are you actually doing?

Traditional understanding: Tracing back to real cause

Reason matching framework:

"Why" operation flow:

1. Anchor event E (manifested occurrence)
   ↓
2. Choose origin P (Chapter 2)
   ↓
3. Invoke causal impression library C (Chapter 9)
   ↓
4. Search: What(A) → E
   ↓
5. Match A that "makes sense"
   ↓
6. Output reason: "Because A"

Symbolic expression:

Why(E) = Choose origin(P) × Invoke causal impression(C_p) → Match(A)

Where:
E = Event that occurred (manifestation point)
P = Chosen origin (determines search direction)
C_p = Causal impression set invokable under origin P
A = Matched antecedent event (reason)

Constraint: A → E holds in causal impression C_p

Origin Dependence of “Why”

Same event, choose different origins, get completely different reasons.

Case: Why fall down after jumping?

Each reason is “correct” because:

• They correspond to different intentions
• They’re based on different knowledge structures
• They serve different purposes

No “real” cause, only “reasons matched under specific origin”

“Why” as Decompression Process

From compression-decompression perspective (Chapter 8), “why” is a decompression process:

Compression result:

• You see: T1 (rooftop) → T2 (ground injured)
• Middle process compressed

“Why”:

• Try to decompress: What happened between T1 and T2?
• Fill gap in manifestation

But decompression path isn’t unique:

Path 1 (Physical):
T1 → Loss of support → Gravity acceleration → Ground impact → T2

Path 2 (Psychological):
T1 → Emotional loss of control → Made decision → Jumped → T2

Path 3 (Social):
T1 → Lack of supervision → No one stopped → Accident occurred → T2

Which path is “correct”?

All correct, depends on which origin you choose.

Recursive Trap of “Why”

“Why” can recurse infinitely:

"Why fall after jumping down?"
"Because of gravity."

"Why is there gravity?"
"Because mass curves spacetime."

"Why does mass curve spacetime?"
"Because this is prediction of general relativity."

"Why is general relativity correct?"
"Because experiments verified it."

"Why does experimental verification count?"
"Because..."

When does this recursion stop?

Traditional view: When touching “first cause” “ultimate truth”

Reason matching framework:

• Recursion stops at current time window boundary
• Or stops at current knowledge structure boundary
• Or stops at when questioner satisfied

No “absolute endpoint”

Each “why” is reason matching under current conditions, not approximating ultimate truth.

Case: “Why” in Fake Dog Refund

Reviewing fake dog refund case (Chapter 10), we can re-analyze with reason matching framework:

Question: “Why did seller finally refund?”

Different perspectives, different reasons:

Which is “correct”?

All correct, each is reasonable reason matched under their respective intentions and origins.

No “real cause” transcending perspective

Practical Value of “Why”

Though “why” isn’t “discovering truth,” reason matching still has value:

Value 1: Reinforce causal impressions

• Each reason matching reinforces some causal impression
• “Illegal→punished” impression reinforced

Value 2: Guide “how”

• Reasons matched by “why” provide materials for “how”
• If “because illegal,” then “how” is “legalize”

Value 3: Self-rationalization

• Reason matching helps us explain our behavior
• Maintain cognitive consistency

Value 4: Social coordination

• Shared reason matching (consensus) makes collaboration possible
• “Everyone believes illegal should be punished”→institution operates

Section 4: “How”—Reason Matching to the Future

Mechanism of “How”

When you ask “how,” what are you actually doing?

Traditional understanding: Finding correct method

Reason matching framework:

"How" operation flow:

1. Anchor goal G (desired manifestation)
   ↓
2. Assess current state S₀
   ↓
3. Choose origin P
   ↓
4. Invoke causal impression library C
   ↓
5. Reverse search: S₀ →?→ G
   ↓
6. Match feasible path
   ↓
7. Evaluate cost/risk/time
   ↓
8. Output solution: "Do A"

Symbolic expression:

How(G) = Anchor intention(I_G) × Assess current(S₀) × Reverse causal impression(C⁻¹) 
       → Match path(Path) 
       → Filter(Cost, Risk, Time)
       → Solution(A)

Where:
G = Goal state (desired manifestation)
I_G = Intention to achieve G
S₀ = Current state
C⁻¹ = Reverse application of causal impressions
Path = Set of possible paths
A = Chosen action plan

Constraint: A makes probability of S₀ → G increase in subjective manifestation

Unity of “How” and “Why”

“How” is essentially reverse application of “why”:

Causal impression: A → B

"Why B?" = Trace back from B to A (known B, find A)
"How to get B?" = Derive from A to B (known goal B, find path A)

Example:

Causal impression: Push door hard → Door opens

• “Why did door open?” (backward): Because someone pushed
• “How to open door?” (forward): Push hard

Same causal impression, used bidirectionally

Conditional Dependence of “How”

Like “why,” “how” is also highly condition-dependent.

Case: How not to fall?

Condition 1: Sufficient resources

• Option A: Install elevator (high cost, good effect)
• Option B: Build ramp (medium cost, long-term effective)

Condition 2: Limited resources

• Option C: Take stairs (no cost, high time cost)
• Option D: Strengthen safety education (low cost, effect depends on execution)

Condition 3: Emergency situation

• Option E: Use parachute (high cost, immediately effective)
• Option F: Wait for rescue (no cost, long time)

No “unique correct solution”, only “optimal match under current conditions”

“How” as Structural Leap

From subject-object structure perspective (Chapter 5), “how” is planning structural leap:

Current structure:

• Me (+++): Have intention, have capability, active
• Problem (—): Exists, obstructs, negative

Goal structure:

• Me (+++): Maintain
• Problem (++-or disappears): Solved or avoided

“How”:

• Find trigger factor
• Guide structural leap
• From current structure → goal structure

Example: Fake dog refund

Current structure (T0):
Me (+++

) vs Seller (-+-) → Deadlock

"How?"→ Introduce external structure:
Me (+++​) + Law/mayor's hotline (+++​) vs Seller (-+-)

Goal structure (T5):
Me (+++​) + Official (+++​) vs Seller (---) → Refund

Essence of “how”: Design trigger factors, guide leap

Path Evaluation in “How”

After matching multiple possible paths, how to choose?

Evaluation dimensions:

1. Cost:

• Material cost (money, goods)
• Time cost (how long)
• Energy cost (how tiring)
• Relationship cost (who to offend)

2. Risk:

• Failure probability
• Failure consequences
• Uncertainty

3. Time window:

• How long to see results?
• Can complete within time window?

4. Stability:

• Short-term or long-term effective?
• Will it create new problems?

Symbolic expression:

Optimal solution = arg min [Cost(A) + Risk(A) - Stability(A)]
                  A∈Path
           
Constraint: Time(A) ≤ Time_window

Verbal expression:

Under time window constraint, choose solution with lowest cost, lowest risk, highest stability.

But “optimal” is subjective:

• Different people have different weights for cost/risk/time
• Therefore “optimal solution” is relative

Section 5: Case Analysis—From Bloodletting to Antibiotics

Let’s see through complete case in medical history how reason matching operates in different eras.

Case Background: Humanity’s Struggle with Disease

From ancient times to now, humanity faces same problem: disease

But in different eras, reason matching conditions completely different, leading to completely different reasons and solutions.

Ancient Greece-Medieval Europe: Four Humors Theory

Condition Analysis

Subject Internal Conditions:

• Intention: Cure disease, restore health
• Knowledge structure:
  • Four humors theory (blood, phlegm, yellow bile, black bile)
  • Believed health = four humors balance
  • Believed disease = humors imbalance
• Experience structure:
  • Some people improved after bloodletting
  • Some symptoms relieved after laxatives
  • These experiences compressed into causal impressions

Subject External Conditions:

• Environment: European cities, medical resources concentrated in nobility
• Resources: Scalpel, bloodletting equipment, laxatives
• External structure: Medical guild, university system, master-apprentice inheritance

Time window: Disease usually allows long observation and treatment time

Reason Matching

“Why get sick?”

Choose origin: Humoral balance origin
Invoke causal impression: Imbalance → Disease
Match reason: "Because humors too much or too little, lost balance"

“How to treat?”

Anchor goal: Restore humoral balance
Reverse causal impressions:
- Too much blood → Bloodletting can reduce
- Too much phlegm → Emetics can expel
- Too much bile → Laxatives can clear

Match solution:
1. Observe symptoms, judge which humor imbalanced
2. Bloodletting (most common, because blood most "visible")
3. Or use emetics, laxatives

Evaluate (under then conditions):
- Cost: Medium (needs doctor)
- Risk: High (but unknowing, thought "curing")
- Time: Needs multiple treatments
- Stability: Low (but thought effective)

Historical Facts

Some did improve:

• In certain cases, bloodletting could:
  • Lower blood pressure (effective for hypertension emergencies)
  • Reduce inflammatory response (modern medicine confirms anti-inflammatory effect of small bloodletting)
• This reinforced “bloodletting effective” causal impression

More people died:

• But many died from excessive bloodletting
• Explained as “humoral imbalance too severe” or “treatment too late”
• Not “theory itself has problems”

Under then conditions, this was “reasonable” reason matching

Ancient China: Traditional Chinese Medicine Theory

Condition Analysis

Subject Internal Conditions:

• Intention: Heal and save people, regulate body
• Knowledge structure:
  • Yin-Yang five elements theory
  • Meridian theory
  • Qi-blood theory
• Experience structure:
  • Some symptoms relieved after acupuncture
  • Some recovered after herbs
  • Thousands of years accumulated clinical experience

Subject External Conditions:

• Environment: Agricultural society, dispersed medical resources
• Resources: Herbs, acupuncture
• External structure: Master-apprentice inheritance, classic records

Reason Matching

“Why get sick?”

Choose origin: Yin-Yang balance origin
Invoke causal impression: Imbalance → Disease
Match reason:
- "Yin-Yang disorder"
- "Qi-blood obstruction"
- "External pathogen invasion"

“How to treat?”

Anchor goal: Harmonize Yin-Yang, clear meridians
Reverse causal impressions:
- Meridian obstruction → Acupuncture can clear
- Yin deficiency Yang excess → Yin-nourishing Yang-reducing medicine
- External pathogen invasion → Sweat-inducing exterior-resolving

Match solution:
1. Inspection, auscultation, inquiry, palpation; syndrome differentiation
2. Acupuncture to clear meridians
3. Herbs to regulate Yin-Yang

Evaluate (under then conditions):
- Cost: Low (herbs easily available)
- Risk: Low (relatively small side effects)
- Time: Slow (needs regulation)
- Stability: Medium (partially effective)

Modern Evaluation

Effective parts:

• Some herbs contain active ingredients (like artemisinin)
• Acupuncture’s neural regulation effect
• Holistic regulation’s auxiliary effect on chronic diseases

Limitations:

• Difficult to handle acute infections
• Theoretical framework incompatible with modern physiology
• Large individual differences in effects

Under then conditions, this was also “reasonable” reason matching

African Tribes: Witchcraft and Herbs

Condition Analysis

Subject Internal Conditions:

• Intention: Expel disease demons, restore health
• Knowledge structure:
  • Soul/spirit beliefs
  • Believed disease = evil spirit possession
  • Believed witch doctors can communicate with spirit world
• Experience structure:
  • Some recovered after rituals
  • Herbs have actual effects
  • These experiences integrated into soul theory

Subject External Conditions:

• Environment: Tribal society, scarce resources
• Resources: Local herbs, ritual tools
• External structure: Witch doctor’s authority, tribal traditions

Reason Matching

“Why get sick?”

Choose origin: Soul origin
Invoke causal impression: Evil spirit/curse → Disease
Match reason:
- "Possessed by evil spirit"
- "Cursed"
- "Violated taboo"

“How to treat?”

Anchor goal: Expel evil spirit, restore normal
Reverse causal impressions:
- Evil spirits fear rituals → Hold exorcism ritual
- Herbs have spiritual power → Take specific herbs
- Ancestors protect → Pray to ancestors

Match solution:
1. Witch doctor diagnose (determine which evil spirit)
2. Hold exorcism ritual
3. Take herbs
4. Follow taboos

Evaluate (under then conditions):
- Cost: Medium (need pay witch doctor)
- Risk: Low (ritual itself harmless)
- Time: Fast (ritual completed in days)
- Stability: Low (but faith provides psychological comfort)

Key Insight

Why did some also recover?

• Some herbs actually effective
• Ritual’s psychological comfort effect (placebo effect)
• Self-limiting diseases naturally recover

This reinforced “witchcraft effective” causal impression

Under then conditions, this was also “reasonable” reason matching

Modern Medicine: Microbiology Revolution

Condition Analysis

Subject Internal Conditions:

• Intention: Precise diagnosis, effective treatment
• Knowledge structure:
  • Microbiology (bacteria, viruses)
  • Physiology, pharmacology
  • Evidence-based medicine
• Experience structure:
  • Antibiotics’ high success rate
  • Vaccines’ preventive effects
  • Large clinical trial data

Subject External Conditions:

• Environment: Industrial society, complete medical system
• Resources:
  • Laboratory, microscope
  • Antibiotics, vaccines
  • Imaging equipment, monitoring instruments
• External structure:
  • Medical schools, research institutions
  • Drug regulation (FDA, etc.)
  • Evidence-based medicine system

Time window: Can quickly diagnose, quickly see effects

Reason Matching

“Why get sick?”

Choose origin: Microbial origin
Invoke causal impression: Pathogen invasion → Infection → Disease
Match reason:
- "Bacterial infection" (like Streptococcus pneumoniae)
- "Viral infection" (like influenza virus)
- "Fungal infection"
- Or "Non-infectious disease" (like autoimmune, tumor)

“How to treat?”

Anchor goal: Eliminate pathogen, restore health
Reverse causal impressions:
- Bacterial infection → Antibiotics can kill
- Viral infection → Antivirals or supportive treatment
- Autoimmune → Immunosuppressants

Match solution:
1. Detect pathogen (blood, imaging, culture)
2. Choose targeted drug (sensitivity test)
3. Monitor efficacy (indicator tracking)
4. Adjust plan if necessary

Evaluate (under current conditions):
- Cost: High (but have insurance)
- Risk: Low (through clinical trials)
- Time: Fast (antibiotics effective in days)
- Stability: High (high cure rate)

Why Is Modern Medicine More Effective?

Not because “discovered truth”

But because:

• Higher verification frequency: Millions of clinical trials, extremely stable multi-subjective overlap
• Stronger repeatability: Any hospital globally can repeat
• More accurate predictive power: Antibiotics’ effectiveness against specific bacteria can be precisely predicted
• More precise tools: Microscope, gene sequencing directly “see” pathogens

This is reason matching under stricter conditions

But still “matching,” not “discovering objective truth”

Comparison Summary of Four Eras

Key insight:

Every era’s reasons are reasonable matches under its conditions

Modern medicine isn’t “ultimate truth”:

• 100 years later, may have completely different reason system
• Like: gene editing, nanobots, consciousness control…
• Then our antibiotics might look “very primitive”

But this isn’t relativism:

• Some reason matching quality higher (verification frequency, repeatability, predictive power)
• Modern medicine under current conditions indeed optimal match
• But “optimal” still relative, not absolute

Section 6: Feynman’s Wisdom—Science Is Guessing

Richard Feynman, one of 20th century’s greatest physicists, Nobel Prize winner, had clear understanding of science’s essence.

Feynman’s Original Words

In 1964 Cornell University Messenger Lectures series, Feynman said:

“In general we look for a new law by the following process: First we guess it. Then we compute the consequences of the guess to see what would be implied if this law that we guessed is right. Then we compare the result of the computation to nature, with experiment or experience, compare it directly with observation, to see if it works. If it disagrees with experiment it is wrong. In that simple statement is the key to science.”

In The Character of Physical Law, he said more directly:

“It doesn’t matter how beautiful your theory is, it doesn’t matter how smart you are. If it doesn’t agree with experiment, it’s wrong.”

Profundity of Feynman’s Insight

Feynman used simplest language to pierce through “science discovers truth” myth:

Science’s core process:

1. Guess — not “discover,” but “guess”
2. Calculate consequences — derive predictions from guess
3. Compare with experiment — see if prediction stably overlaps in multi-subjective perspectives
4. Wrong if disagrees — no “approaching truth,” only “right” or “wrong”

This completely aligns with reason matching framework:

Scientific research = High-frequency verification version of reason matching

1. Guess = Match a possible reason (hypothesis)
2. Calculate consequences = Derive manifestation from this reason
3. Compare with experiment = See if this manifestation stably overlaps in multi-subjectives
4. Wrong if disagrees = Update causal impression, rematch

Science Isn’t “Discovery,” But “Guess + Verification”

Traditional philosophy of science narrative:

• Scientists discover objective laws through observation and reasoning
• Scientific theories describe objective reality
• Scientific progress is approaching ultimate truth

Feynman’s (and reason matching framework’s) truth:

• Scientists first guess (match reasons from available materials)
• Scientific theories are highly verified guesses
• Scientific progress is guesses effective under more conditions

Key difference:

Newton and Einstein Case

This case perfectly demonstrates “guess + verification” essence:

Newton’s “Guess”

Conditions (17th century):

• Intention: Explain planetary motion
• Knowledge: Math (calculus, Newton invented himself)
• Experience: Kepler’s laws, Galileo’s observations
• Resources: Telescope
• Time window: Can long-term observe astronomical phenomena

Newton’s guess:

• “Universal gravitation: F = G × (m₁m₂)/r²”
• This isn’t “discovery,” but guess

Verification:

• Calculate consequences: Derive planetary orbits should be elliptical
• Compare observations: Perfectly match actual observations
• Conclusion: Under macroscopic, low-speed, weak gravitational field conditions, this guess extremely stable

Became “law”:

• Over 200 years, all multi-subjective verifications overlap
• This reason’s weight extremely high

Einstein’s “New Guess”

New conditions (early 20th century):

• Intention: Explain Mercury’s perihelion precession anomaly
• Knowledge: New mathematical tools (Riemannian geometry)
• Experience: Light speed constant experimental results
• Resources: More precise observation equipment

Einstein’s guess:

• “Spacetime is curved, mass curves spacetime”
• This also guess, very bold guess

Verification:

• Calculate consequences: Light bends in gravitational field
• 1919 solar eclipse observation: Perfectly matched prediction
• Conclusion: Under high-speed, strong gravitational field conditions, this guess more stable

Overthrew Newton?

No, expanded applicable conditions:

• Newton’s guess still effective under macroscopic, low-speed
• Einstein’s guess effective in broader range
• Not “Newton was wrong,” but “new guess stable under more conditions”

Quantum Mechanics: More Radical Guess

Newer conditions (20th century):

• Intention: Explain microscopic phenomena (atomic spectra, blackbody radiation)
• Knowledge: Probability theory, new mathematical tools
• Experience: Double-slit experiment’s bizarre results
• Resources: Particle accelerators

Physicists’ guess:

• Wave function, uncertainty principle, superposition states…
• These guesses very counterintuitive

Verification:

• Calculate consequences: Extremely precise predictions (like electron magnetic moment, accurate to 10 decimal places)
• Experimental verification: Perfect match
• Conclusion: At microscopic scale, this is most stable guess

Feynman himself said:

“I think I can safely say that nobody understands quantum mechanics.”

But this doesn’t prevent it being “right”:

• Because “right” isn’t “understanding objective truth”
• But “prediction highly stably overlaps with multi-subjective observations”

Science’s True Status

Within reason matching framework, science’s distinctiveness lies in:

Not:

• ❌ Discovering objective truth
• ❌ Method transcending subjectivity
• ❌ Ultimate epistemology

But:

• ✅ Extremely high-frequency verification
• ✅ Extremely broad range multi-subjective overlap
• ✅ Extremely strong predictive power and repeatability

Symbolic expression:

Scientific reason quality = f(Verification frequency, Subjective overlap, Predictive accuracy, Repeatability)

Scientific reasons >> Daily experience reasons, because:
- Verification frequency: Millions of experiments vs personal experience
- Subjective overlap: Global scientists consensus vs individual or small groups
- Predictive accuracy: Quantified precise predictions vs vague judgments
- Repeatability: Anyone can repeat vs difficult to repeat

But essence still reason matching:

• Just reason matching under extremely strict conditions
• Optimal match under current knowledge, technical conditions

Feynman’s Another Insight: Not Fooling Yourself

In 1974 Caltech commencement speech, Feynman said:

“The first principle is that you must not fool yourself—and you are the easiest person to fool.”

This highly aligns with reason matching framework:

Why we easily fool ourselves?

• Because we tend to match reasons we want
• Intention (self-protection, maintaining beliefs) drives reason selection
• We ignore unfavorable evidence, reinforce favorable evidence

Science’s discipline:

• Actively seek falsification conditions
• Welcome others’ verification (multi-subjective overlap)
• Don’t adjust conclusions based on personal preferences

But scientists are also human:

• Also match reasons they want
• Also get “enchanted” by their theories
• Therefore need institutionalized mutual verification

From Feynman See “Why” and “How”

“Why” in science:

"Why do planets orbit sun?"

Newton's guess: "Because universal gravitation"
Einstein's guess: "Because spacetime curvature"
Next guess: "Because X theory"

No "final answer," only "most stable guess under current conditions"

“How” in science:

"How to predict planetary orbits?"

Based on Newton's guess: Use F=ma and gravity formula
Based on Einstein's guess: Solve field equations
Based on quantum gravity guess: Use string theory/loop gravity...

Different reasons → different solutions
More stable reasons → more accurate predictions

Summary of Feynman’s Wisdom

Feynman taught us:

1. Science = Guess + Verification
   • Don’t be fooled by “science discovers truth” narrative
   • Honestly admit: we’re guessing
2. Right/wrong determined by experiment
   • Not by theory’s elegance
   • Not by authority’s reputation
   • Only by multi-subjective verification’s stability
3. Don’t fool yourself
   • Hardest is admitting own reasons might be wrong
   • Science’s discipline is actively seeking falsification
4. No ultimate truth
   • All theories are temporarily effective guesses
   • Today’s “laws” might be tomorrow’s “approximations”

This perfectly corresponds to reason matching framework:

Science is reason matching’s strictest form, but still reason matching, not truth discovery.

Section 7: Piercing the “Hard Constraint” Illusion

In reason matching framework, common rebuttal is:

“Okay, maybe bloodletting, acupuncture, witchcraft are all reason matching. But some things are ‘hard constraints’! Like jumping from building will fall, eating will get full, 1+1=2. These aren’t reason matching, but objective facts!”

This section, we pierce this illusion.

Relativity of “Falling”

Let’s carefully examine “jumping from building will fall” this seemingly “absolutely hard” constraint.

Traditional view:

• This is physical law
• This is objective fact
• This is universal truth

Reason matching framework’s analysis:

Case 1: Zero-gravity environment

• “Jumping” from height in space station
• Won’t fall
• “Hard constraint” disappeared

Why?

• Because “will fall” depends on condition: Earth’s gravitational field
• Condition changes → manifestation changes

Case 2: Dead person

• Dead person jumps from building
• From physics angle: will fall
• But dead person won’t “care” about falling

Why?

• Because “fall” as meaningful manifestation depends on condition: living subject
• No subject → no manifestation

Case 3: Gymnast

• Jump from high platform, perfect landing
• From physics angle: has gravitational acceleration
• But they won’t “get hurt”

Why?

• Because “fall = injury” depends on condition: untrained body
• Professional training → changes meaning of “fall”

Case 4: Paramecium

• Paramecium has no concept of “fall”
• It has no vision, no height perception
• For it, “height” doesn’t manifest

Why?

• Because “fall” depends on condition: cognitive ability (vision, height perception, injury anticipation)
• Without these cognitive structures → “fall” doesn’t exist

Case 5: In dream

• Dream of jumping from building
• Might fly up, might land safely
• “Will fall” rule doesn’t hold

Why?

• Because “will fall” depends on condition: physical experience when awake
• Dream window → different rules

Complete Conditional Dependence of “Falling”

Now we can list complete dependency conditions for seemingly “hard constraint” “jumping from building will fall”:

"Jumping from building will fall" holds, needs:

Physical conditions:
- Earth's gravitational field (9.8m/s²)
- Sufficient height
- No cushioning

Biological conditions:
- Living body
- Not specially trained
- Limited bone strength

Cognitive conditions:
- Have height perception ability
- Have injury anticipation
- Understand meaning of "fall"

Intention conditions:
- Care about own safety
- Want to avoid injury

Time window conditions:
- In awake window (not dream)
- In Earth window (not space)

Once any condition changes, “hard constraint” disappears or changes

Relativity of “Full”

Look at “eating will get full” constraint again:

Case 1: Certain disease patients

• Gastric perforation patients eat won’t get full
• Diabetes patients eat still hungry
• “Eat → full” causal impression fails

Case 2: Extreme anxiety or fear state

• Ate food but don’t feel full
• Because attention completely occupied by emotions
• Intention not on “perceiving fullness” → doesn’t manifest fullness

Case 3: In dream

• Dream of eating big meal
• Wake up still hungry
• “Eat → full” doesn’t hold in dream window

Case 4: Virtual reality

• Future VR might make you “feel” full
• But physically no food
• “Full” manifestation detached from “eat” physical behavior

Conditional dependence of “full”:

"Eating will get full" holds, needs:

Physiological conditions:
- Normal digestive system
- Normal neural feedback
- Normal hormone regulation

Psychological conditions:
- Attention on body perception
- Intention includes "perceiving fullness"
- No strong emotional interference

Time window conditions:
- In awake window
- In reality window (not VR or dream)

Relativity of “1+1=2”

Most “hard” constraint: mathematics?

Case 1: Modular arithmetic

• In mod 1 arithmetic: 1+1=0
• On clock: 11 o’clock + 2 hours = 1 o’clock
• Rules change → result changes

Case 2: Set theory

• One pile of sand + one pile of sand = one pile of sand
• One blob of water + one blob of water = one blob of water
• Definition of “+” changes → result changes

Case 3: Logic

• Law of excluded middle doesn’t hold in intuitionistic logic
• Different logical systems → different reasoning rules

Case 4: Physics

• One photon + one photon (mutual annihilation) ≠ two photons
• Microscopic scale → different laws

Conditional dependence of “1+1=2”:

"1+1=2" holds, needs:

Mathematical conditions:
- Using decimal
- Using standard arithmetic
- Objects are countable independent entities

Cognitive conditions:
- Understand "1" as unit
- Understand "+" as addition operation
- Understand "=" as equivalence relation

Application conditions:
- Objects won't merge, annihilate, split
- Objects can be distinguished and counted

Essence of “Hard Constraints”

Now we can reveal essence of “hard constraints”:

Traditional view:

• Some facts are “absolute” “objective” “universal”
• These “hard constraints” don’t depend on subjectivity
• Reason matching only applies to “soft constraints”

Reason matching framework:

No “hard constraints transcending conditions” exist at all

So-called “hard constraints” are just:

1. Manifestations stable under extremely broad condition range
   • “Fall” stable in most cases on Earth
   • Therefore looks “hard”
2. Extremely high weight combinations
   • Combinations like “eat/full” “arithmetic/correct” have extremely high weight
   • Invoked extremely frequently
   • Therefore look “inevitable”
3. Consensus overlapping in most subjective perspectives
   • Almost everyone experienced “jumping will fall”
   • Multi-subjective overlap extremely stable
   • Therefore looks “objective”

But “hard” is just “relatively high stability”:

• Change conditions → constraint changes
• No absolute hardness

True Hard Constraints

Question: Are there truly “hard constraints”?

Answer: Yes, but not what you think.

In Chapter 1, we proposed cognition’s meta-constraints:

1. Information finite
   • Can never obtain infinite information
   • Manifestation always compressed
2. Time window finite
   • Any structure only stable within finite time
   • Leap inevitable
3. Finite combinations under intention focus
   • Intention determines manifestation
   • Different intentions → different combinations

These are true “hard constraints”:

• They’re not empirical inductions
• But structural prerequisites of cognitive activity
• They define “game rules” of reason matching

But even these aren’t “objective truth”:

• They’re axioms we chose (Chapter 1)
• Basic assumptions of this framework
• Don’t claim absolute truth, only operational effectiveness

Summary: No Hard Constraints, Only Weights

Symbolic expression:

All manifestations = Weight spectrum

Extremely high weight: Look "hard"
- Fall (under Earth normal conditions)
- Full (under normal physiological state)
- 1+1=2 (under standard arithmetic)

High weight: Look "reliable"
- Scientific laws
- Common sense

Medium weight: Look "possible"
- Personal experience
- Small group consensus

Low weight: Look "soft"
- Illusion
- Dream
- Individual coincidence

No absolute dividing line, only continuous weight spectrum

Key insight:

“Hard constraint” illusion comes from:

• ✅ Confusing “high weight” with “absolute truth”
• ✅ Ignoring conditional dependence
• ✅ Taking “extremely stable under current conditions” as “inevitable transcending conditions”

After piercing illusion:

• ✅ Admit all manifestations condition-dependent
• ✅ Admit “hard” is just “relatively high stability”
• ✅ No need to assume “objective ontology transcending subjectivity”

Section 8: Common Misunderstandings and Theoretical Boundaries

Misreading 1: “Everything Is Relative” (Relativism)

Wrong understanding:

• Since all reasons condition-dependent
• Then all reasons equally valid
• Therefore “everything relative,” no right or wrong

Our position:

No, not all reasons equally valid.

Reason quality depends on:

1. Verification frequency: Verified how many times?
2. Subjective overlap: How many subjective perspectives overlap?
3. Predictive accuracy: How precisely can predict?
4. Stability: Stable under how broad condition range?

Symbolic expression:

Reason quality = f(Verification frequency, Subjective overlap, Predictive accuracy, Stability)

Scientific reasons > Daily experience > Superstition > Illusion

Not "all same," but clear quality differences

Example:

We’re not relativism:

• We acknowledge conditional dependence
• But also acknowledge quality differences
• High-quality reasons more effective in practice

Misreading 2: “Science No Better Than Witchcraft” (Anti-science)

Wrong understanding:

• You say science also “reason matching”
• Witchcraft also “reason matching”
• Then science and witchcraft no difference?

Our position:

Science and witchcraft have huge differences.

Science’s characteristics:

Verification frequency: Extremely high (millions of experiments)
Subjective overlap: Extremely broad (global scientists consensus)
Predictive accuracy: Extremely precise (quantified predictions, can reach multiple decimal places)
Repeatability: Anyone can repeat
Falsifiability: Actively seek falsification conditions
Stability: Stable under extremely broad condition range

Witchcraft’s characteristics:

Verification frequency: Extremely low (occasional success)
Subjective overlap: Extremely narrow (only believers)
Predictive accuracy: Extremely low (cannot quantify, vague)
Repeatability: Difficult to repeat
Falsifiability: Refuse falsification, always find excuses
Stability: "Effective" under extremely narrow conditions (mainly placebo)

Worlds apart in quality

But both in essence are “reason matching”:

• This doesn’t belittle science
• But more accurately understands science

Analogy:

• Saying “currency is social construction” doesn’t mean “currency has no value”
• Saying “science is reason matching” doesn’t mean “science unreliable”

Rather:

• Understanding currency’s social construction essence → better understand economy
• Understanding science’s reason matching essence → better understand science’s power and limits

Misreading 3: “Any Reason Will Do” (Nihilism)

Wrong understanding:

• Since thinking is finding reasons
• Then I can find any reason
• Anyway all “matched”

Our position:

No, not “any reason.”

Reason matching strictly constrained:

Constraint 1: Available materials limited

• Can only match from your knowledge, experience, causal impressions
• If you haven’t learned quantum mechanics, cannot match “wave function collapse” reason

Constraint 2: Must be self-consistent

• Reason must not contradict other manifestations
• Otherwise causes structural conflict (see Chapters 7 and 12)

Constraint 3: Practical testing

• After reason matching needs action
• Action results feedback, correct reasons
• Wrong reasons eliminated

Constraint 4: Social coordination

• In society, reasons need others’ acceptance
• Too outrageous reasons cannot form consensus
• Cannot form consensus → cannot coordinate action

Symbolic expression:

Acceptable reason = {R | R ∈ Available materials 
                ∧ R self-consistent 
                ∧ R withstands practice 
                ∧ R obtains sufficient subjective overlap}

Not arbitrary reasons, but reasons satisfying all constraints

Example:

You’re late, boss asks “why”

Unacceptable reasons:

• “Because aliens kidnapped me”
  • Doesn’t satisfy “obtain subjective overlap”
  • Boss won’t accept
• “Because I’m in a dream”
  • Doesn’t satisfy “self-consistent”
  • Contradicts your current awake state
• “Because time travel”
  • Doesn’t satisfy “available materials”
  • You don’t have time machine

Acceptable reasons:

• “Because traffic jam”
  • Satisfies all constraints
  • Boss might accept
• “Because alarm didn’t ring”
  • Satisfies constraints
  • Needs further explanation

Different quality reasons:

• “Because I worked until dawn last night”
  • High quality, boss might understand
• “Because I didn’t want to come”
  • Though might be true, but high social coordination cost

Misreading 4: Infinite Recursion of “Why the Why”

Question:

• You say “why” is reason matching
• Then “why reason matching”?
• Isn’t this infinite recursion?

Our response:

Yes, this is self-referential problem.

Like Chapter 1 handling “self-reference of subjectivization proposition,” our response is:

“Why reason matching” itself is reason matching

Question: "Why do humans reason match?"

Possible reasons (depends on origin):

Biological origin: "Because reason matching has survival advantage"
Psychological origin: "Because humans need explanation and prediction"
Social origin: "Because coordinating action needs shared reasons"
Linguistic origin: "Because language structure requires causal expression"
Neural origin: "Because brain's neural network naturally does pattern matching"

These reasons themselves also "matched," not "discovered"

This isn’t paradox, but framework’s self-consistency:

Reason matching framework doesn’t claim:

• ❌ “I discovered reason matching is only truth”
• ❌ “Reason matching transcends other theories”

But claims:

• ✅ “Using reason matching framework, I can effectively analyze cognitive processes”
• ✅ “This framework operationally effective”
• ✅ “Framework itself is product of reason matching”

Self-consistency isn’t paradox:

• Like “all languages can be described using language” isn’t paradox
• “Reason matching can be explained using reason matching” also not paradox

Recursion termination:

• Terminates at current time window boundary
• Terminates when questioner satisfied
• Terminates when practical needs met

Misreading 5: “You Denied Objective Truth”

Question:

• You say no “truth transcending conditions”
• Then truth doesn’t exist?
• Isn’t this nihilism?

Our response:

We didn’t “deny” truth, we “redefined” truth.

Traditional definition:

• Truth = proposition conforming to objective ontology
• Problem: Cannot verify “conformity”

Our definition:

• Truth = reason verified extremely frequently under extremely broad conditions, achieving extremely broad subjective overlap
• Operational, verifiable

Symbolic expression:

Truth(T) = lim (Verification→∞, Overlap→全集, Conditions→broadest) Reason(R)

Not "absolute truth," but "operational truth"

Example:

Is “energy conservation law” truth?

Traditional answer: “Yes, because it conforms to objective world”

• Problem: How know “conforms”?

Our answer: “Yes, because it verified under all known conditions, global scientists highly consensus, predictions extremely accurate”

• Verifiable, operational

But we admit:

• This “truth” still condition-dependent (might not hold at microscopic scale, inside black hole)
• This “truth” might be revised by future theories
• But under current conditions, it’s highest quality reason

This isn’t nihilism:

• We still have truth
• Just admit truth’s conditional dependence and revisability
• This is more honest attitude

Summary: Reason Matching Isn’t Relativism, Nihilism, Anti-science

Our core position:

1. Admitting conditional dependence ≠ Relativism
   • Because quality differences exist
2. Admitting reason matching ≠ Nihilism
   • Because strict constraints exist
3. Admitting science is guessing ≠ Anti-science
   • Because science is highest quality guessing
4. Suspending objective ontology ≠ Denying truth
   • Because we redefined truth

This is more honest, more operational, more explanatory framework

Conclusion: From “Discovering Truth” to “Reason Matching”

A Cognitive Transformation

This chapter, we completed profound cognitive transformation:

From:

• Thinking = discovering truth
• “Why” = tracing real cause
• “How” = finding correct method
• Rationality = transcending bias
• Science = touching objective

To:

• Thinking = reason matching
• “Why” = matching reasons to past
• “How” = matching paths to future
• Rationality = high-quality reason matching
• Science = reason matching under extremely strict conditions

This doesn’t belittle thinking, rationality or science

This is understanding them more accurately

Complete Picture of Reason Matching

Reason matching mechanism:

Input:
- Intention (why ask this question?)
- Current manifestation (event E or goal G)
- Available materials (knowledge, experience, causal impressions)
- Constraints (resources, time, environment)

Process:
- Choose origin
- Invoke causal impressions
- Forward/reverse search
- Match or generate reasons

Output:
- "Why": Explanation (reason to past)
- "How": Solution (path to future)

Verification:
- Practical testing
- Multi-subjective overlap
- Correct or reinforce causal impressions

Value of Reason Matching

Admitting reason matching essence, what value?

Value 1: Cognitive clarity

• No longer fooled by “discovering truth” illusion
• Aware all reasons condition-dependent
• Maintain clarity in sense of inevitability (Chapter 9)

Value 2: More effective thinking

• Clarify intention → choose appropriate origin
• Assess available materials → know what reasons can match
• Recognize constraints → don’t do invalid search

Value 3: Better communication

• Understand others’ reasons from different conditions
• Not “he’s wrong,” but “his conditions different”
• Communication becomes “condition exchange” not “truth debate”

Value 4: More flexible action

• “How” not “finding unique correct answer”
• But “finding optimal path under current conditions”
• Conditions change → flexibly adjust path

Value 5: Correct understanding of science

• Science not “embodiment of truth”
• But “highest quality reason matching”
• Both appreciate its power, understand its limits

Final Insight

Feynman said: “Science is guessing.”

We say: “Thinking is reason matching.”

This doesn’t belittle science or thinking, but:

• Reveals true mechanism
• Eliminates mystification
• Makes it operational, understandable, improvable

Next time you ask “why” or “how”:

Remember:

• You’re not “discovering truth”
• You’re “matching reasons”
• Based on current intention
• Invoking available materials
• Under constraints
• Generating or matching explanation or path that “makes sense”

This is thinking’s essence

This is how human cognition operates

From ancient to modern

From bloodletting to antibiotics

From witchcraft to quantum mechanics

All same

View complete Chapter 13

第13章翻译完成。本章包含深刻的认识论转变,从"发现真理"到"理由匹配",以及费曼关于科学本质的洞察和对"硬约束"幻觉的击穿。