Assumption Autopsy
kyun yeh Matters: James aur Invisible Foundations
Aap Chapter 2, Exercise 1 se Error Taxonomy aur Chapter 3, Exercise 1 se Cascade map technique use karenge. Assumptions hidden errors hain; unhein find karna wahi detection muscle use karta hai.
James tha his solution se Exercise 2 open on screen. Emma sat across se him.
"Constraint identification went well," woh kaha. "I found base constraints, built my derivation chain, compared ke muqable AI. I feel solid on yeh one. What's point ka going back aur picking apart assumptions? agar constraints hain right, solution follows."
"Kaise many assumptions did aap list in Exercise 2?"
James scrolled down. "four."
"Kaise many hain aap actually making?"
"four. I listed them."
Emma almost smiled. "Pull up apni solution. parha mujhe first sentence ka apni design."
James parha: "'Distribute tutoring access based on student need, measured ke zariye current academic performance relative ke liye grade-level benchmarks.'"
"Kaise hain aap measuring academic performance?"
"Standardized test scores. That's obvious metric."
"Kya yeh waqai obvious hai? Ya yeh ek assumption hai? Un students ka kya jo tests mein poor perform karte hain lekin tutoring environments mein achi tarah seekhte hain? Un students ka kya jinke schools wahi tests administer nahin karte?"
James ghoor kar dekha at sentence. "Theek, is liye 'standardized test scores ek hain valid proxy ke liye need' ek hain assumption I didn't list."
"Yeh ek hai. Aapke solution mein aisi dozens hain. Aapka likha hua har sentence invisible choices par rest karta hai jo aap ne notice kiye baghair banaye. Autopsy unhein visible banati hai."
"It's like due diligence in procurement," James ne kaha. "Hum vendor ki proposal evaluate karte aur samajhte ke humne sab cover kar liya hai. Phir legal pandrah sawalon ke saath wapas aa jata un terms par jinhein hum given samajh rahe hote. 'Payment net-30, standard.' Farq yeh tha ke vendor ki net-30 definition delivery se start hoti thi, aur hamari invoice se. Same words, completely different assumptions."
"Same principle. Aapka solution clean lagta hai jab tak aap examine na karein ke ise kya hold kar raha hai. Kuch invisible supports solid hote hain. Kuch paper ke bane hote hain."
Exercise 3: Assumption Autopsy
Layers Used: Layer 2 (reasoning Receipt), Layer 4 (Contradiction Challenge)
James discover karne wala hai ke us ke "clean" solution mein twenty-three assumptions hain jinhein usne kabhi notice nahin kiya. Aapke solution mein bhi hidden assumptions hain.
Autopsy Perform Karein
Take apni solution se Exercise 2 aur systematically expand apni assumption list. Pehle, koshish karein find every hidden assumption yourself. phir feed apni solution ke liye two different AI tools aur ask each: "Kya assumptions am I making ke I hain nahin stated?" Comphasen AI-identified assumptions ke muqable apni own list. Create ek merged assumption map.
apni expanded assumption list (written pehle AI). AI-identified assumptions se both tools. ek merged assumption map categorizing each assumption as: (ek) found ke zariye aap sirf, (b) found ke zariye AI sirf, (c) found ke zariye both, (d) found ke zariye neither but identified dauran merge process. ke liye each assumption, ek brief note on whether yeh hai reasonable, risky, ya needs ke liye be tested.
Apni Thinking Check Karein
Mein kar raha hun an assumption autopsy on my own solution. I hain listed my assumptions, aur I also poocha two different AI tools identify karne ke liye karein assumptions I missed. Neeche hai my merged assumption map.
Please: (1) hain wahan STILL more hidden assumptions ke none ka us -- neither I nor other AI tools -- identified? (2) ke liye each assumption in my map, rate karein risk level (low / medium / high) -- kya happens ke liye my solution agar yeh assumption hai wrong? (3) meri kaun si assumptions implementation se pehle actually testable hain solution? (4) rate karein my self-awareness -- kya percentage ka total assumptions did I find on my own pehle AI help? (5) Give mujhe ek strategy ke liye improving my ability identify karne ke liye karein hidden assumptions in future kaam karega.
Meri solution:
My assumption map:
Aakhir mein, is exercise ke liye Thinking score Card complete karein: Independent Thinking (1-10), Critical Evaluation (1-10), reasoning Depth (1-10), Originality (1-10), Self-Awareness (1-10). Har score ke liye one-sentence justification dein.
Discuss with an AI. Question your scores.
Come back when you have your BEST evaluation.
James Ke Saath Kya Hua
James counted rows in his merged assumption map. Twenty-three assumptions total. Woh ne found seven on his own. Claude found nine woh ne missed. ChatGPT found four more. aur three emerged dauran merge itself, assumptions ke neither woh nor either AI tha flagged independently but became obvious jab woh laid lists side ke zariye side.
"I socha I tha four assumptions," woh kaha. "I tha twenty-three."
"kaun sa category surprised aap most?"
"category D. ones nobody found until merge. One ka them tha ke students would actually use tutoring access agar given yeh. I just assumed demand tha automatic. Nobody questioned yeh. mujhe nahin, nahin Claude, nahin ChatGPT. Lekin jab I tha comparing lists, I realized my entire allocation design assumed full utilization. agar sirf 40% ka students actually log in, whole model breaks differently."
Emma nodded. "merge isn't just ek list comparison. It's ek collision. Two different ways ka seeing problem forced together. friction produce karta hai insights neither source tha alone."
James dekha at his map again. Assumptions woh ne caught himself tamam contextual: things about school district politics, parent engagement, real-world scheduling conflicts. ones AI caught structural: mathematical relationships, game-theory dynamics, measurement validity. Different blind spots. Complementary vision.
"Hang on. Agar yeh true hai, phir... best assumption list meri nahin aur AI ki bhi nahin. Yeh merge hai."
"Ab aap understand kyun yeh exercise exists."
Jo Lesson Seekha Gaya
Aap aur AI hain complementary blind spots. Aap catch contextual assumptions (cultural, personal, political) ke AI misses. AI catches structural assumptions (mathematical, systemic, logical) ke aap take ke liye granted. Neither set ka eyes hai complete. merge process itself generates ek third category ka insight ke neither source produce karta hai alone.