GPT-5
two_instance · helpful_assistant · assistant_greeting_v1
seed: Open with a friendly greeting and ask the user what they'd like to explore today.
A openai/gpt-5 turn 1
Hi there! What would you like to explore today?
B openai/gpt-5 turn 2
I’m up for anything. Here are a few directions we can take—pick one (or suggest your own):
- Learn something fast: a 5-minute deep dive on a topic you’re curious about.
- Build or debug: code help, scripts, data analysis, automation ideas.
- Create: brainstorms, outlines, stories, visuals, marketing copy.
- Plan: trips, workouts, study plans, meal plans, budgets.
- Skill boost: practice interview questions, language drills, quick tutorials.
- Solve a problem: decision trade-offs, pros/cons, strategy.
- Just for fun: trivia, word games, creative prompts, personality quizzes.
What are you in the mood for, and how much time do you have?
A openai/gpt-5 turn 3
Let’s do “Learn something fast”: a 5-minute deep dive on Expected Value—how to make better choices under uncertainty (from everyday bets to career moves).
Do you have 5 minutes for a quick, punchy walkthrough, or should I adapt it to 2 or 10?
B openai/gpt-5 turn 4
Let’s do the 5‑minute version. Quick, punchy, and practical.
1) Core idea
- Expected Value (EV) is the average outcome you’d get if you could repeat a decision many times.
- Formula: EV = Σ probability × payoff (all payoffs in the same unit: money, time, satisfaction points—be consistent).
- Choose the option with the highest EV, subject to not blowing yourself up (downside constraints).
2) Fast examples
- Everyday bet: A friend offers $60 if a fair coin lands heads; you pay $25 to play.
- EV = 0.5×$60 + 0.5×$0 − $25 = $30 − $25 = +$5. Positive EV; good bet if losing $25 won’t hurt you.
- Career move: Join a startup vs stay.
- Startup scenarios (1-year impact, in $ equivalents): 30% chance +$80k, 50% +$10k, 20% −$40k.
- EV = 0.3×80 + 0.5×10 − 0.2×40 = 24 + 5 − 8 = +$21k.
- If you value skill growth/network at +$5k/year optionality, adjusted EV ≈ +$26k. If you have 3 months of runway only (high ruin risk), you might still pass despite positive EV.
3) EV vs risk (variance) and your constraints
- EV tells you the mean; risk is about spread and downside.
- Don’t take positive‑EV bets that can cause ruin. Add two guardrails:
- Downside constraint: Never risk what you can’t replace (health, reputation, solvency).
- Position sizing: For repeatable bets, scale to bankroll and edge. Kelly fraction (for simple bets): f* ≈ edge/odds. Example: 55% win at even odds → edge = 0.55−0.45=0.10, odds=1 → f* = 10% of bankroll. Half‑Kelly reduces volatility.
- Single‑shot, irreversible choices: consider expected utility (your personal curve for money/effort), not raw EV.
4) Estimating probabilities and payoffs quickly
- Start with base rates: Similar projects? Industry data? Historical acceptance rates?
- Use three‑point estimates for payoffs: best, most likely, worst. Convert to comparable units (money, time saved, quality‑of‑life points).
- Be conservative on upside, honest on costs (time, switching, coordination, ramp, taxes/fees).
- For small data: anchor on reference class; adjust with your specifics; don’t hand‑wave.
5) Option value and value of information (VOI)
- Option value: Small reversible steps that buy learning can raise EV. Example: 2‑week pilot costing 10 hours could shift your probability estimates a lot.
- VOI quick test: If a $200 test can change your decision 30% of the time on a $10k swing, rough VOI ≈ 0.3×$10k = $3k > $200 → run the test.
6) When to use EV directly vs adjust
- Use raw EV when: outcomes repeat, stakes are modest, you can diversify, or losses are tolerable.
- Adjust for risk/utility when: one‑shot big stakes, fat‑tail downside, or tight constraints (cash runway, visa status, reputation).
7) Common pitfalls
- Ignoring base rates and overconfidence.
- Counting upside, forgetting execution cost and time-to-realize.
- Treating non‑reversible choices like repeatable gambles.
- Failing to size the bet; “all‑in” on small edges.
- Not updating after new info (Bayes-lite: shift probabilities, recompute EV).
8) Quick decision worksheet (2–5 minutes)
- Define options A/B (and “do nothing”).
- List 3–5 plausible outcomes each; assign rough probabilities that sum to 1.
- Convert payoffs to a single unit; include time and hidden costs.
- Compute EV for each; note variance (spread) and worst case.
- Check constraints: Can I survive the worst case? What size/phase/pilot reduces risk?
- Consider learning: Any cheap test with positive VOI?
- Choose highest risk‑adjusted EV you can size safely; set a review point to update.
Want a 2‑minute TL;DR or a deeper 10‑minute version with a template spreadsheet and a couple more career scenarios?
A openai/gpt-5 turn 5
Great—here’s your 5-minute, quick and practical deep dive on Expected Value (EV).
1) Core idea
- EV is the average outcome you’d get if you could repeat a decision many times.
- Formula: EV = Σ (probability × payoff). Keep all payoffs in the same unit (money, time, satisfaction points).
- Choose the highest EV that doesn’t risk ruin (add constraints before you act).
2) Fast examples
- Everyday bet: Pay $25 to play; get $60 if a fair coin is heads.
- EV = 0.5×$60 + 0.5×$0 − $25 = $30 − $25 = +$5 → Good bet if losing $25 won’t hurt you.
- Career move: Join a startup vs stay.
- Startup outcomes (1-year, $ equivalents): 30% +$80k, 50% +$10k, 20% −$40k.
- EV = 0.3×80 + 0.5×10 − 0.2×40 = 24 + 5 − 8 = +$21k.
- Add skill/network optionality at +$5k/year → adjusted EV ≈ +$26k.
- If you only have 3 months’ runway (ruin risk), you might still pass despite positive EV.
3) EV vs risk (variance) and your constraints
- EV is the mean; risk is the spread and worst case.
- Guardrails:
- Downside constraint: Never risk what you can’t replace (health, reputation, solvency).
- Position sizing: For repeatable bets, size to bankroll and edge. Kelly for even odds: f* ≈ edge/odds.
- Example: 55% win at even odds → edge = 0.55−0.45=0.10; odds=1 → f* = 10% of bankroll. Half‑Kelly to reduce swings.
- One‑shot big decisions: use expected utility (how you value money/effort), not just raw EV.
4) Estimating probabilities and payoffs quickly
- Start with base rates: industry stats, similar projects, historical acceptance rates.
- Use three‑point estimates: best, most likely, worst. Convert to one unit (money, time saved, QoL points).
- Be conservative on upside; include real costs (time, switching, ramp, taxes/fees).
- With limited data: anchor on the reference class; adjust for your specifics; avoid hand‑waving.
5) Option value and value of information (VOI)
- Option value: Small, reversible steps that buy learning can raise EV (e.g., 2‑week pilot, 10 hours).
- VOI quick test: If a $200 test could flip your decision 30% of the time on a $10k swing → VOI ≈ 0.3×$10k = $3k > $200 → run it.
6) When to use EV directly vs adjust
- Use raw EV when: outcomes repeat, stakes modest, you can diversify, losses tolerable.
- Adjust for risk/utility when: one‑shot big stakes, fat‑tail downside, or tight constraints (runway, visa, reputation).
7) Common pitfalls
- Ignoring base rates; overconfidence.
- Counting upside, forgetting execution cost and time-to-realize.
- Treating irreversible choices like repeatable gambles.
- Going “all‑in” on small edges; no sizing discipline.
- Not updating after new info (Bayes‑lite: shift probabilities, recompute EV).
8) Quick decision worksheet (2–5 minutes)
- Define options A/B (and “do nothing”).
- List 3–5 plausible outcomes each; assign probabilities summing to 1.
- Convert payoffs to a single unit; include hidden/time costs.
- Compute EV for each; note variance and worst case.
- Check constraints: Can I survive the worst case? Can I size/phase/pilot?
- Look for learning: Any cheap test with positive VOI?
- Choose the highest risk‑adjusted EV you can size safely; set a review point to update.
Want a 2-minute TL;DR, or a deeper 10-minute version with a fill‑in worksheet and a simple calculator you can reuse?
B openai/gpt-5 turn 6
Here’s the 2-minute TL;DR. If you want, I can follow up with the 10-minute pack (worksheet + reusable calculator).
Expected Value (EV) in one breath
- What: EV = Σ (probability × payoff). Maximize EV, but don’t risk ruin.
- Why: It turns uncertainty into comparable numbers so you can pick the best bet.
- How: Compare options on a single unit (money, time, utility), then add constraints and sizing.
Fast playbook (90 seconds)
1) List options (including “do nothing”).
2) For each, write 3–5 plausible outcomes with probabilities that sum to 1.
3) Convert payoffs to one unit and include hidden costs (time, taxes, switching).
4) Compute EV = SUMPRODUCT(prob, payoff).
5) Note worst case and variance; add constraints: Can I survive the downside?
6) Size or phase the bet (pilot, smaller stake). For repeatable bets, consider Kelly sizing; half‑Kelly is smoother.
- Even‑odds Kelly rule of thumb: fraction ≈ 2p − 1. Example: p=0.55 → 10% of bankroll (or 5% half‑Kelly).
7) Look for cheap tests with positive Value of Information (VOI).
8) Choose the highest risk‑adjusted EV you can size safely. Set a review point; update with new info.
Rules of thumb
- Start with base rates; adjust for specifics.
- Use three‑point estimates (best/likely/worst).
- Count execution cost and time-to-realize, not just upside.
- Avoid bets that threaten health, reputation, or solvency—no matter the EV.
- Recompute EV when facts change.
Tiny examples
- Bet: Pay $25 for a 50/50 shot at $60 → EV = $5; fine if $25 loss is tolerable.
- Career: Startup with outcomes [30% +80k, 50% +10k, 20% −40k] → EV = +$21k; add +$5k optionality → +$26k. Still pass if short runway elevates ruin risk.
Micro-calculator you can reuse
- Spreadsheet: Put probabilities in A2:A5, payoffs in B2:B5. EV cell = SUMPRODUCT(A2:A5, B2:B5).
- Compare options by computing EV(A) − EV(B). Add a “worst case” row and a “can I survive it?” check.
Want the 10-minute version with a fill-in worksheet and a ready-to-copy spreadsheet (plus a simple script)?
A openai/gpt-5 turn 7
Absolutely—here’s the 10-minute pack: fill-in worksheet, a ready-to-copy spreadsheet layout with formulas, and a simple script.
1) Fill-in EV decision worksheet (print or paste into notes)
- Decision and time horizon:
- What am I deciding?
- Over what period (e.g., 1 year)?
- Units and constraints:
- Common unit for payoff (money, time saved, utility points):
- Hard constraints (health, reputation, solvency, runway, legal/visa):
- Max tolerable downside this period:
- Options (include “Do nothing” as an option):
- Option A:
- Outcomes (3–5), with probabilities that sum to 1:
- Outcome 1: probability ___; payoff ___
- Outcome 2: probability ___; payoff ___
- Outcome 3: probability ___; payoff ___
- Outcome 4: probability ___; payoff ___
- EV(A) =
- Worst case =
- Notes on variance/spread:
- Option B:
- Outcomes:
- Outcome 1: probability ___; payoff ___
- Outcome 2: probability ___; payoff ___
- Outcome 3: probability ___; payoff ___
- Outcome 4: probability ___; payoff ___
- EV(B) =
- Worst case =
- Notes on variance/spread:
- Option C (optional):
- Outcomes:
- Outcome 1: probability ___; payoff ___
- Outcome 2: probability ___; payoff ___
- Outcome 3: probability ___; payoff ___
- EV(C) =
- Worst case =
- Notes on variance/spread:
- Sizing and phasing:
- Can I survive the worst case for my chosen option?
- Can I size smaller or run a pilot (scope, duration)?
- Kelly guide if repeatable: edge and fraction (or use half‑Kelly).
- Value of Information (VOI):
- Cheap test I could run (cost, time):
- How likely is the test to change my decision?
- Rough VOI vs cost:
- Decision and review:
- Pick the highest risk‑adjusted EV you can size safely:
- What would change my mind?
- Review date/checkpoints:
2) Ready-to-copy spreadsheet (Excel or Google Sheets)
Layout (per option on one sheet or stacked):
- Columns
- A: Probability (p)
- B: Payoff (x) in your chosen unit
- C: Label/Scenario (optional)
- Rows
- 2–6: Up to five outcomes (add more as needed)
- 8: EV
- 9: Worst case
- 10: Variance (optional)
- 11: Standard deviation (optional)
Core formulas
- EV (B8):
=SUMPRODUCT(A2:A6,B2:B6)
- Worst case (B9):
=MIN(B2:B6)
- Variance of outcomes with probabilities (B10):
=SUMPRODUCT(A2:A6,(B2:B6-$B$8)^2)
- Std dev (B11):
=SQRT(B10)
If you want to compare multiple options on one sheet:
- Put Option A in A2:C6, its EV in B8.
- Put Option B in E2:G6, its EV in F8.
- “EV advantage A over B”:
=B8-F8
VOI quick cell (suppose a test costing in J2, chance it flips your choice in J3, and value swing between options in J4):
- Expected VOI (J5):
=J3*J4
- Run the test? (J6):
=IF(J5>J2,"Yes","No")
Kelly sizing (for repeatable, even-odds bets; p in L2):
- Fraction Kelly (L3):
=2*L2-1
- Half-Kelly (L4):
=0.5*L3
General Kelly (if odds are b:1; p in L2, b in L3):
- Fraction Kelly (L4):
=(L3*L2-(1-L2))/L3
- Half-Kelly (L5):
=0.5*L4
Three‑point estimate helper (convert best/likely/worst into a quick expected payoff; probs in P2:P4 as 0.2/0.6/0.2 by default; payoffs in Q2:Q4):
- EV (Q6):
=SUMPRODUCT(P2:P4,Q2:Q4)
3) Simple, reusable script (Python)
- Computes EV, worst case, variance, optional Kelly, and a rough VOI.
Copy and run:
#!/usr/bin/env python3
from dataclasses import dataclass
from typing import List, Optional
@dataclass
class Outcome:
p: float # probability
x: float # payoff (same unit across options)
label: str = ""
@dataclass
class Option:
name: str
outcomes: List[Outcome]
def ev(self) -> float:
return sum(o.p * o.x for o in self.outcomes)
def worst_case(self) -> float:
return min(o.x for o in self.outcomes)
def variance(self) -> float:
mu = self.ev()
return sum(o.p * (o.x - mu) ** 2 for o in self.outcomes)
def kelly_fraction(p: float, b: float = 1.0, half: bool = False) -> float:
# b is net odds (e.g., even odds -> b=1; 2:1 payout -> b=2)
q = 1 - p
f = (b * p - q) / b
f = max(0.0, f) # don’t bet negative fraction here
return 0.5 * f if half else f
def voi_expected_benefit(prob_flip: float, value_swing: float) -> float:
# Rough VOI: chance info changes the decision * value difference between options
return prob_flip * value_swing
def summarize(option: Option):
mu = option.ev()
wc = option.worst_case()
var = option.variance()
return {
"option": option.name,
"EV": mu,
"WorstCase": wc,
"Variance": var,
"StdDev": var ** 0.5
}
if __name__ == "__main__":
# Example: Startup vs Stay
startup = Option(
"Startup",
[
Outcome(0.30, 80000, "+80k"),
Outcome(0.50, 10000, "+10k"),
Outcome(0.20, -40000, "-40k"),
],
)
stay = Option(
"Stay",
[
Outcome(1.00, 0, "baseline"), # adjust as needed
],
)
for opt in [startup, stay]:
print(summarize(opt))
# Kelly example: 55% win at even odds
print("Kelly fraction (p=0.55, b=1):", kelly_fraction(0.55))
print("Half-Kelly:", kelly_fraction(0.55, half=True))
# VOI example: 30% chance info flips decision on a $10k swing
print("VOI rough benefit:", voi_expected_benefit(0.30, 10000))
4) Two extra quick scenarios (practice)
- Offer negotiation (single-shot, risk-aware):
- Option A: Accept now at $100k.
- Option B: Negotiate 10% raise.
- Outcomes: 40% +$10k, 50% $0 change, 10% −$5k risked offer fallout.
- EV(B) = 0.4×10k + 0.5×0 − 0.1×5k = +$3.5k.
- If losing the offer is catastrophic for you (visa/runway), lean to A despite EV(B) > 0.
- Marketing test (repeatable, sized bets):
- New channel spend with 55% chance to break even +10% ROI, 45% chance −10%.
- Edge = 0.10×0.55 − 0.10×0.45 = +1% per dollar at even odds feel.
- Use small fraction (e.g., half‑Kelly) of your budget and scale with learning. Run a $200 test; if it could flip you 30% of the time on a $5k swing, VOI ≈ $1.5k > $200 → run it.
Would you like this as a ready-to-share Google Sheet link structure, or want me to tailor the worksheet and a filled example to a decision you’re making now?
B openai/gpt-5 turn 8
I can do either. Quick options:
A) Ready-to-share Google Sheet (fastest)
- Steps
1) Create a new Google Sheet.
2) File > Import > Upload > paste the CSV below into a .csv file (or paste directly into A1 and use Split text to columns = Off). Sheets will keep the formulas.
- CSV (copy everything from “BEGIN” to “END” into a .csv file)
BEGIN
Section,Label,Value/Formula,Notes
Setup,Decision,
Setup,Time horizon (e.g., 1 year),
Setup,Common unit (money/time/utility),
Setup,Hard constraints,
Setup,Max tolerable downside,
Option A,Outcome 1 prob,,
Option A,Outcome 1 payoff,,
Option A,Outcome 2 prob,,
Option A,Outcome 2 payoff,,
Option A,Outcome 3 prob,,
Option A,Outcome 3 payoff,,
Option A,Outcome 4 prob,,
Option A,Outcome 4 payoff,,
Option A,EV,=SUMPRODUCT(C3:C10*(MOD(ROW(C3:C10),2)=0),C3:C10*(MOD(ROW(C3:C10),2)=1)),Sum p_i * x_i (pairs of prob/payoff)
Option A,Worst case,=MIN(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Min of payoffs
Option A,Variance,=SUMPRODUCT(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)-(C12),(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)-(C12)))*FILTER(C3:C10,MOD(ROW(C3:C10),2)=1),Prob-weighted
Option A,Std dev,=SQRT(C14),
Option B,Outcome 1 prob,,
Option B,Outcome 1 payoff,,
Option B,Outcome 2 prob,,
Option B,Outcome 2 payoff,,
Option B,Outcome 3 prob,,
Option B,Outcome 3 payoff,,
Option B,Outcome 4 prob,,
Option B,Outcome 4 payoff,,
Option B,EV,=SUMPRODUCT(C18:C25*(MOD(ROW(C18:C25),2)=0),C18:C25*(MOD(ROW(C18:C25),2)=1)),
Option B,Worst case,=MIN(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Variance,=SUMPRODUCT(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)-(C27),(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)-(C27)))*FILTER(C18:C25,MOD(ROW(C18:C25),2)=1),
Option B,Std dev,=SQRT(C29),
Compare,EV advantage A over B,=C12-C27,
Compare,Worst-case advantage A over B,=C13-C28,
VOI,Test cost,,
VOI,Chance test flips decision (0–1),,
VOI,Value swing between options,,
VOI,Expected VOI,=C36*C37,
VOI,Run test?,=IF(C38>C35,"Yes","No"),
Kelly (even odds),Win probability p (0–1),,
Kelly (even odds),Kelly fraction,=MAX(0,2*C42-1),
Kelly (even odds),Half-Kelly,=0.5*C43,
Kelly (general),Win probability p (0–1),,
Kelly (general),Net odds b (e.g., 1 for even, 2 for 2:1),,
Kelly (general),Kelly fraction,=MAX(0,(C47*C46-(1-C46))/C47),
Kelly (general),Half-Kelly,=0.5*C48,
END
Notes
- Enter probabilities as decimals (e.g., 0.3). Leave unused rows blank.
- The EV formula pairs each “prob” cell with the next “payoff” cell. Add more pairs by extending the ranges similarly, or use the simpler block layout from our earlier message if you prefer.
B) Tailored worksheet and filled example (recommend if you have a live decision)
Reply with:
1) What’s the decision and time horizon?
2) Your unit (money/time/utility) and any hard constraints (runway, visa, reputation, health).
3) Options (A/B/C). For each, 3–5 outcomes with rough probabilities and payoffs.
4) Any pilot/test you could run (time/cost).
I’ll compute EVs, worst cases, variance, suggest sizing/phasing, and flag VOI opportunities.
A openai/gpt-5 turn 9
Great—let’s go with A) the ready-to-share Google Sheet. I spotted two small formula fixes (EV and Variance) so they pair probabilities with payoffs correctly. Use the CSV below.
Steps
1) Create a new Google Sheet.
2) File > Import > Upload > paste the CSV below into a .csv file (or paste directly into A1 with Split text to columns = Off). Sheets will keep the formulas.
CSV (copy everything from BEGIN to END into a .csv file)
BEGIN
Section,Label,Value/Formula,Notes
Setup,Decision,
Setup,Time horizon (e.g., 1 year),
Setup,Common unit (money/time/utility),
Setup,Hard constraints,
Setup,Max tolerable downside,
Option A,Outcome 1 prob,,
Option A,Outcome 1 payoff,,
Option A,Outcome 2 prob,,
Option A,Outcome 2 payoff,,
Option A,Outcome 3 prob,,
Option A,Outcome 3 payoff,,
Option A,Outcome 4 prob,,
Option A,Outcome 4 payoff,,
Option A,EV,=SUMPRODUCT(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1),FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Sum p_i * x_i (pairs of prob/payoff)
Option A,Worst case,=MIN(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Min of payoffs
Option A,Variance,=SUMPRODUCT((FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)-C12)^2,FILTER(C3:C10,MOD(ROW(C3:C10),2)=1)),Prob-weighted variance
Option A,Std dev,=SQRT(C14),
Option B,Outcome 1 prob,,
Option B,Outcome 1 payoff,,
Option B,Outcome 2 prob,,
Option B,Outcome 2 payoff,,
Option B,Outcome 3 prob,,
Option B,Outcome 3 payoff,,
Option B,Outcome 4 prob,,
Option B,Outcome 4 payoff,,
Option B,EV,=SUMPRODUCT(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1),FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Worst case,=MIN(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Variance,=SUMPRODUCT((FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)-C27)^2,FILTER(C18:C25,MOD(ROW(C18:C25),2)=1)),
Option B,Std dev,=SQRT(C29),
Compare,EV advantage A over B,=C12-C27,
Compare,Worst-case advantage A over B,=C13-C28,
VOI,Test cost,,
VOI,Chance test flips decision (0–1),,
VOI,Value swing between options,,
VOI,Expected VOI,=C36*C37,
VOI,Run test?,=IF(C38>C35,"Yes","No"),
Kelly (even odds),Win probability p (0–1),,
Kelly (even odds),Kelly fraction,=MAX(0,2*C42-1),
Kelly (even odds),Half-Kelly,=0.5*C43,
Kelly (general),Win probability p (0–1),,
Kelly (general),Net odds b (e.g., 1 for even, 2 for 2:1),,
Kelly (general),Kelly fraction,=MAX(0,(C47*C46-(1-C46))/C47),
Kelly (general),Half-Kelly,=0.5*C48,
END
Notes
- Enter probabilities as decimals (e.g., 0.3). Leave unused rows blank.
- The EV/Variance formulas auto-pair each “prob” with the next “payoff.” Extend ranges similarly if you add more pairs.
If you’d rather do B) the tailored worksheet, share your decision details and I’ll fill it out for you.
B openai/gpt-5 turn 10
Perfect—thanks for the fixes. Here’s the ready-to-copy CSV exactly as provided.
BEGIN
Section,Label,Value/Formula,Notes
Setup,Decision,
Setup,Time horizon (e.g., 1 year),
Setup,Common unit (money/time/utility),
Setup,Hard constraints,
Setup,Max tolerable downside,
Option A,Outcome 1 prob,,
Option A,Outcome 1 payoff,,
Option A,Outcome 2 prob,,
Option A,Outcome 2 payoff,,
Option A,Outcome 3 prob,,
Option A,Outcome 3 payoff,,
Option A,Outcome 4 prob,,
Option A,Outcome 4 payoff,,
Option A,EV,=SUMPRODUCT(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1),FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Sum p_i * x_i (pairs of prob/payoff)
Option A,Worst case,=MIN(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Min of payoffs
Option A,Variance,=SUMPRODUCT((FILTER(C3:C10,MOD(ROW(C3:C10),2)-0)=0)-C12)^2,FILTER(C3:C10,MOD(ROW(C3:C10),2)=1)),Prob-weighted variance
Option A,Std dev,=SQRT(C14),
Option B,Outcome 1 prob,,
Option B,Outcome 1 payoff,,
Option B,Outcome 2 prob,,
Option B,Outcome 2 payoff,,
Option B,Outcome 3 prob,,
Option B,Outcome 3 payoff,,
Option B,Outcome 4 prob,,
Option B,Outcome 4 payoff,,
Option B,EV,=SUMPRODUCT(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1),FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Worst case,=MIN(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Variance,=SUMPRODUCT((FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)-C27)^2,FILTER(C18:C25,MOD(ROW(C18:C25),2)=1)),
Option B,Std dev,=SQRT(C29),
Compare,EV advantage A over B,=C12-C27,
Compare,Worst-case advantage A over B,=C13-C28,
VOI,Test cost,,
VOI,Chance test flips decision (0–1),,
VOI,Value swing between options,,
VOI,Expected VOI,=C36*C37,
VOI,Run test?,=IF(C38>C35,"Yes","No"),
Kelly (even odds),Win probability p (0–1),,
Kelly (even odds),Kelly fraction,=MAX(0,2*C42-1),
Kelly (even odds),Half-Kelly,=0.5*C43,
Kelly (general),Win probability p (0–1),,
Kelly (general),Net odds b (e.g., 1 for even, 2 for 2:1),,
Kelly (general),Kelly fraction,=MAX(0,(C47*C46-(1-C46))/C47),
Kelly (general),Half-Kelly,=0.5*C48,
END
Quick tips
- Extending outcomes: Add more prob/payoff rows in the same alternating pattern and extend the ranges in the formulas.
- Probability sum check (optional): Add a row like =SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1)) and ensure it’s ≈ 1. Do the same for Option B’s range.
- Excel note: FILTER isn’t available in older Excel; use the simpler block layout (separate columns for probabilities and payoffs) with =SUMPRODUCT(prob_range,payoff_range).
A openai/gpt-5 turn 11
Looks great—one tiny fix before you import: the Option A Variance formula has a typo. Replace it with the version below (extra “-0)=0)” snuck in).
Here’s the fully corrected CSV:
BEGIN
Section,Label,Value/Formula,Notes
Setup,Decision,
Setup,Time horizon (e.g., 1 year),
Setup,Common unit (money/time/utility),
Setup,Hard constraints,
Setup,Max tolerable downside,
Option A,Outcome 1 prob,,
Option A,Outcome 1 payoff,,
Option A,Outcome 2 prob,,
Option A,Outcome 2 payoff,,
Option A,Outcome 3 prob,,
Option A,Outcome 3 payoff,,
Option A,Outcome 4 prob,,
Option A,Outcome 4 payoff,,
Option A,EV,=SUMPRODUCT(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1),FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Sum p_i * x_i (pairs of prob/payoff)
Option A,Worst case,=MIN(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Min of payoffs
Option A,Variance,=SUMPRODUCT((FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)-C12)^2,FILTER(C3:C10,MOD(ROW(C3:C10),2)=1)),Prob-weighted variance
Option A,Std dev,=SQRT(C14),
Option B,Outcome 1 prob,,
Option B,Outcome 1 payoff,,
Option B,Outcome 2 prob,,
Option B,Outcome 2 payoff,,
Option B,Outcome 3 prob,,
Option B,Outcome 3 payoff,,
Option B,Outcome 4 prob,,
Option B,Outcome 4 payoff,,
Option B,EV,=SUMPRODUCT(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1),FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Worst case,=MIN(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Variance,=SUMPRODUCT((FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)-C27)^2,FILTER(C18:C25,MOD(ROW(C18:C25),2)=1)),
Option B,Std dev,=SQRT(C29),
Compare,EV advantage A over B,=C12-C27,
Compare,Worst-case advantage A over B,=C13-C28,
VOI,Test cost,,
VOI,Chance test flips decision (0–1),,
VOI,Value swing between options,,
VOI,Expected VOI,=C36*C37,
VOI,Run test?,=IF(C38>C35,"Yes","No"),
Kelly (even odds),Win probability p (0–1),,
Kelly (even odds),Kelly fraction,=MAX(0,2*C42-1),
Kelly (even odds),Half-Kelly,=0.5*C43,
Kelly (general),Win probability p (0–1),,
Kelly (general),Net odds b (e.g., 1 for even, 2 for 2:1),,
Kelly (general),Kelly fraction,=MAX(0,(C47*C46-(1-C46))/C47),
Kelly (general),Half-Kelly,=0.5*C48,
END
Want me to add optional “probability sum = 1?” check rows for each option before you import?
B openai/gpt-5 turn 12
Got it—thanks for catching that. Here’s the fully corrected CSV, ready to import.
BEGIN
Section,Label,Value/Formula,Notes
Setup,Decision,
Setup,Time horizon (e.g., 1 year),
Setup,Common unit (money/time/utility),
Setup,Hard constraints,
Setup,Max tolerable downside,
Option A,Outcome 1 prob,,
Option A,Outcome 1 payoff,,
Option A,Outcome 2 prob,,
Option A,Outcome 2 payoff,,
Option A,Outcome 3 prob,,
Option A,Outcome 3 payoff,,
Option A,Outcome 4 prob,,
Option A,Outcome 4 payoff,,
Option A,EV,=SUMPRODUCT(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1),FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Sum p_i * x_i (pairs of prob/payoff)
Option A,Worst case,=MIN(FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)),Min of payoffs
Option A,Variance,=SUMPRODUCT((FILTER(C3:C10,MOD(ROW(C3:C10),2)=0)-C12)^2,FILTER(C3:C10,MOD(ROW(C3:C10),2)=1)),Prob-weighted variance
Option A,Std dev,=SQRT(C14),
Option B,Outcome 1 prob,,
Option B,Outcome 1 payoff,,
Option B,Outcome 2 prob,,
Option B,Outcome 2 payoff,,
Option B,Outcome 3 prob,,
Option B,Outcome 3 payoff,,
Option B,Outcome 4 prob,,
Option B,Outcome 4 payoff,,
Option B,EV,=SUMPRODUCT(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1),FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Worst case,=MIN(FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)),
Option B,Variance,=SUMPRODUCT((FILTER(C18:C25,MOD(ROW(C18:C25),2)=0)-C27)^2,FILTER(C18:C25,MOD(ROW(C18:C25),2)=1)),
Option B,Std dev,=SQRT(C29),
Compare,EV advantage A over B,=C12-C27,
Compare,Worst-case advantage A over B,=C13-C28,
VOI,Test cost,,
VOI,Chance test flips decision (0–1),,
VOI,Value swing between options,,
VOI,Expected VOI,=C36*C37,
VOI,Run test?,=IF(C38>C35,"Yes","No"),
Kelly (even odds),Win probability p (0–1),,
Kelly (even odds),Kelly fraction,=MAX(0,2*C42-1),
Kelly (even odds),Half-Kelly,=0.5*C43,
Kelly (general),Win probability p (0–1),,
Kelly (general),Net odds b (e.g., 1 for even, 2 for 2:1),,
Kelly (general),Kelly fraction,=MAX(0,(C47*C46-(1-C46))/C47),
Kelly (general),Half-Kelly,=0.5*C48,
END
Do you want me to add optional “probabilities sum to 1?” check rows for each option and resend an updated CSV, or keep it as-is?
A openai/gpt-5 turn 13
Nice—looks clean. Your call:
- Keep as-is, or
- Add “probabilities sum to 1?” checks.
If you want the checks without re-importing, just add two rows anywhere and use these formulas:
Option A
- Prob sum:
=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))
- Check (±0.01 tolerance):
=IF(ABS(<cell_above>-1)<=0.01,"OK","Check")
Option B
- Prob sum:
=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))
- Check (±0.01 tolerance):
=IF(ABS(<cell_above>-1)<=0.01,"OK","Check")
If you’d prefer, I can resend a single CSV with those two check rows added under each option. Which do you want?
B openai/gpt-5 turn 14
Let’s keep the CSV as-is to avoid shifting any referenced rows.
To add the probability checks without re-importing, insert two rows anywhere (e.g., below the Kelly section) and use:
Option A
- Prob sum:
=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))
- Check (±0.01 tolerance):
=IF(ABS(<cell_above>-1)<=0.01,"OK","Check")
Option B
- Prob sum:
=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))
- Check (±0.01 tolerance):
=IF(ABS(<cell_above>-1)<=0.01,"OK","Check")
Tip: Add conditional formatting to the “Check” cells to turn green for “OK” and red for “Check.” Want me to provide a one-click Apps Script to validate both sections and flag issues?
A openai/gpt-5 turn 15
Absolutely—here’s a one-click Apps Script that validates both Option A and B, highlights issues, and shows a summary.
What it does
- Checks that probabilities:
- Are numbers between 0 and 1
- Sum to ~1 (±0.01 tolerance) per option
- Checks payoffs are numeric
- Flags missing prob/payoff pairs
- Highlights cells (red = invalid, orange = missing pair, yellow = sum not ~1) and shows a summary alert
How to add
1) Extensions > Apps Script
2) Paste the code below, Save
3) Reload the sheet. Use the EV Tools menu > Validate EV Sheet
Code (paste into Code.gs)
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addToUi();
}
function validateEVSheet() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const tol = 0.01;
// Column C is the Value/Formula column
const ranges = [
{ name: 'Option A', start: 3, end: 10 }, // C3:C10
{ name: 'Option B', start: 18, end: 25 } // C18:C25
];
// Clear previous backgrounds/notes
ranges.forEach(r => {
const range = sh.getRange(r.start, 3, r.end - r.start + 1, 1);
range.clearNote();
range.setBackground(null);
});
let issues = [];
ranges.forEach(r => {
const nRows = r.end - r.start + 1;
const col = 3; // C
const vals = sh.getRange(r.start, col, nRows, 1).getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = r.start + i;
if (rowNum % 2 === 1) { // odd sheet row -> probability (matches your FILTER rule)
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
// Pair probs with adjacent payoffs
const pairs = probCells.map((p, k) => ({ p, x: payoffCells[k] }));
// Validate each probability and payoff
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
// Missing pair check
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => {
rr.setBackground('#FFD7AE'); // orange
});
issues.push(`${r.name}: Incomplete prob/payoff pair near rows ${p.rowNum}-${x.rowNum}.`);
}
// Probability checks
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
issues.push(`${r.name}: Probability at C${p.rowNum} is not a number.`);
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
issues.push(`${r.name}: Probability at C${p.rowNum} is out of [0,1].`);
} else {
probSum += p.val;
}
}
// Payoff checks
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
issues.push(`${r.name}: Payoff at C${x.rowNum} is not numeric.`);
}
}
});
// Probability sum check
if (probSum > 0) { // ignore if all blank
if (Math.abs(probSum - 1) > tol) {
// Highlight all prob cells yellow
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
issues.push(`${r.name}: Probabilities sum to ${probSum.toFixed(3)} (expected ~1).`);
}
}
});
if (issues.length === 0) {
ui.alert('Validation complete', 'All good: probabilities and payoffs look valid.', ui.ButtonSet.OK);
} else {
ui.alert('Validation results', issues.join('\n'), ui.ButtonSet.OK);
}
}
Optional: want me to add a helper that writes the prob sums into two cells you pick and labels them OK/Check automatically?
B openai/gpt-5 turn 16
This is excellent. Your validator matches the sheet’s pairing logic and highlights the right issues.
If you want the optional helpers without re-importing, here are two small add-ons:
1) Menu item to insert “probability sum = 1?” helpers
- Prompts you for two cells (one for Option A, one for Option B).
- Writes the SUM and the OK/Check formulas and adds simple coloring.
Add these to your existing script:
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addToUi();
}
function insertProbSumHelpers() {
const ui = SpreadsheetApp.getUi();
const sh = SpreadsheetApp.getActiveSheet();
const respA = ui.prompt('Option A helper', 'Enter the cell for the Option A Prob Sum (e.g., E3):', ui.ButtonSet.OK_CANCEL);
if (respA.getSelectedButton() !== ui.Button.OK) return;
const sumAAddr = respA.getResponseText().trim();
if (!sumAAddr) return;
const respB = ui.prompt('Option B helper', 'Enter the cell for the Option B Prob Sum (e.g., E6):', ui.ButtonSet.OK_CANCEL);
if (respB.getSelectedButton() !== ui.Button.OK) return;
const sumBAddr = respB.getResponseText().trim();
if (!sumBAddr) return;
const sumA = sh.getRange(sumAAddr);
const checkA = sumA.offset(0, 1);
const sumB = sh.getRange(sumBAddr);
const checkB = sumB.offset(0, 1);
sumA.setFormula('=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))').setNote('Option A probability sum');
checkA.setFormula(`=IF(ABS(${sumA.getA1Notation()}-1)<=0.01,"OK","Check")`);
sumB.setFormula('=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))').setNote('Option B probability sum');
checkB.setFormula(`=IF(ABS(${sumB.getA1Notation()}-1)<=0.01,"OK","Check")`);
// Basic colors
checkA.setBackground('#C6F6D5'); // green-ish; will be overridden by conditional format if you add one
checkB.setBackground('#C6F6D5');
ui.alert('Inserted', `Wrote SUM and OK/Check formulas at ${sumAAddr}/${checkA.getA1Notation()} and ${sumBAddr}/${checkB.getA1Notation()}.`, ui.ButtonSet.OK);
}
2) Tiny robustness tweak to the validator (optional)
- Flags any extra payoffs that don’t have a preceding probability (rare, but possible if someone fills a payoff row without its prob row above).
Replace the pairing section inside validateEVSheet with this slightly safer version:
// Pair probs with adjacent payoffs
const pairs = [];
const extraIssues = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
// Orphan payoffs
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
extraIssues.push(`${r.name}: Orphan payoff at C${payoffCells[k].rowNum}.`);
}
}
if (extraIssues.length) issues.push(...extraIssues);
Everything else in your validator can stay the same.
Want me to bundle both helpers (menu + validator tweak) into a single updated Code.gs for copy-paste?
A openai/gpt-5 turn 17
Absolutely—here’s a single updated Code.gs you can paste in as-is. It includes:
- EV Tools menu with both actions
- Validator with the safer pairing logic
- Insert Prob Sum Helpers utility
Copy-paste into Code.gs:
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addToUi();
}
function validateEVSheet() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const tol = 0.01;
// Column C is the Value/Formula column
const ranges = [
{ name: 'Option A', start: 3, end: 10 }, // C3:C10
{ name: 'Option B', start: 18, end: 25 } // C18:C25
];
// Clear previous backgrounds/notes
ranges.forEach(r => {
const range = sh.getRange(r.start, 3, r.end - r.start + 1, 1);
range.clearNote();
range.setBackground(null);
});
let issues = [];
ranges.forEach(r => {
const nRows = r.end - r.start + 1;
const col = 3; // C
const vals = sh.getRange(r.start, col, nRows, 1).getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = r.start + i;
if (rowNum % 2 === 1) { // odd sheet row -> probability (matches your FILTER rule)
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
// Safer pairing logic
const pairs = [];
const extraIssues = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
extraIssues.push(`${r.name}: Orphan payoff at C${payoffCells[k].rowNum}.`);
}
}
if (extraIssues.length) issues.push(...extraIssues);
// Validate each probability and payoff
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
// Missing pair check
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => {
rr.setBackground('#FFD7AE'); // orange
});
issues.push(`${r.name}: Incomplete prob/payoff pair near rows ${p.rowNum}-${x.rowNum}.`);
}
// Probability checks
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
issues.push(`${r.name}: Probability at C${p.rowNum} is not a number.`);
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
issues.push(`${r.name}: Probability at C${p.rowNum} is out of [0,1].`);
} else {
probSum += p.val;
}
}
// Payoff checks
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
issues.push(`${r.name}: Payoff at C${x.rowNum} is not numeric.`);
}
}
});
// Probability sum check
if (probSum > 0) { // ignore if all blank
if (Math.abs(probSum - 1) > tol) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
issues.push(`${r.name}: Probabilities sum to ${probSum.toFixed(3)} (expected ~1).`);
}
}
});
if (issues.length === 0) {
ui.alert('Validation complete', 'All good: probabilities and payoffs look valid.', ui.ButtonSet.OK);
} else {
ui.alert('Validation results', issues.join('\n'), ui.ButtonSet.OK);
}
}
function insertProbSumHelpers() {
const ui = SpreadsheetApp.getUi();
const sh = SpreadsheetApp.getActiveSheet();
const respA = ui.prompt('Option A helper', 'Enter the cell for the Option A Prob Sum (e.g., E3):', ui.ButtonSet.OK_CANCEL);
if (respA.getSelectedButton() !== ui.Button.OK) return;
const sumAAddr = respA.getResponseText().trim();
if (!sumAAddr) return;
const respB = ui.prompt('Option B helper', 'Enter the cell for the Option B Prob Sum (e.g., E6):', ui.ButtonSet.OK_CANCEL);
if (respB.getSelectedButton() !== ui.Button.OK) return;
const sumBAddr = respB.getResponseText().trim();
if (!sumBAddr) return;
const sumA = sh.getRange(sumAAddr);
const checkA = sumA.offset(0, 1);
const sumB = sh.getRange(sumBAddr);
const checkB = sumB.offset(0, 1);
sumA.setFormula('=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))').setNote('Option A probability sum');
checkA.setFormula(`=IF(ABS(${sumA.getA1Notation()}-1)<=0.01,"OK","Check")`);
sumB.setFormula('=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))').setNote('Option B probability sum');
checkB.setFormula(`=IF(ABS(${sumB.getA1Notation()}-1)<=0.01,"OK","Check")`);
// Basic colors (you can still add conditional formatting rules later)
checkA.setBackground('#C6F6D5'); // green-ish
checkB.setBackground('#C6F6D5');
ui.alert('Inserted', `Wrote SUM and OK/Check formulas at ${sumAAddr}/${checkA.getA1Notation()} and ${sumBAddr}/${checkB.getA1Notation()}.`, ui.ButtonSet.OK);
}
Want me to add a “Clear highlights/notes” action to the menu too, so you can reset validation colors in one click?
B openai/gpt-5 turn 18
Yes—here’s the updated Code.gs with a one-click “Clear Highlights/Notes” action added to the EV Tools menu. Copy-paste as-is.
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addItem('Clear Highlights/Notes', 'clearEVHighlights')
.addToUi();
}
function validateEVSheet() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const tol = 0.01;
// Column C is the Value/Formula column
const ranges = [
{ name: 'Option A', start: 3, end: 10 }, // C3:C10
{ name: 'Option B', start: 18, end: 25 } // C18:C25
];
// Clear previous backgrounds/notes
ranges.forEach(r => {
const range = sh.getRange(r.start, 3, r.end - r.start + 1, 1);
range.clearNote();
range.setBackground(null);
});
let issues = [];
ranges.forEach(r => {
const nRows = r.end - r.start + 1;
const col = 3; // C
const vals = sh.getRange(r.start, col, nRows, 1).getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = r.start + i;
if (rowNum % 2 === 1) { // odd sheet row -> probability (matches FILTER rule)
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
// Safer pairing logic
const pairs = [];
const extraIssues = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
extraIssues.push(`${r.name}: Orphan payoff at C${payoffCells[k].rowNum}.`);
}
}
if (extraIssues.length) issues.push(...extraIssues);
// Validate each probability and payoff
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
// Missing pair check
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => {
rr.setBackground('#FFD7AE'); // orange
});
issues.push(`${r.name}: Incomplete prob/payoff pair near rows ${p.rowNum}-${x.rowNum}.`);
}
// Probability checks
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
issues.push(`${r.name}: Probability at C${p.rowNum} is not a number.`);
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
issues.push(`${r.name}: Probability at C${p.rowNum} is out of [0,1].`);
} else {
probSum += p.val;
}
}
// Payoff checks
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
issues.push(`${r.name}: Payoff at C${x.rowNum} is not numeric.`);
}
}
});
// Probability sum check
if (probSum > 0) { // ignore if all blank
if (Math.abs(probSum - 1) > tol) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
issues.push(`${r.name}: Probabilities sum to ${probSum.toFixed(3)} (expected ~1).`);
}
}
});
if (issues.length === 0) {
ui.alert('Validation complete', 'All good: probabilities and payoffs look valid.', ui.ButtonSet.OK);
} else {
ui.alert('Validation results', issues.join('\n'), ui.ButtonSet.OK);
}
}
function insertProbSumHelpers() {
const ui = SpreadsheetApp.getUi();
const sh = SpreadsheetApp.getActiveSheet();
const respA = ui.prompt('Option A helper', 'Enter the cell for the Option A Prob Sum (e.g., E3):', ui.ButtonSet.OK_CANCEL);
if (respA.getSelectedButton() !== ui.Button.OK) return;
const sumAAddr = respA.getResponseText().trim();
if (!sumAAddr) return;
const respB = ui.prompt('Option B helper', 'Enter the cell for the Option B Prob Sum (e.g., E6):', ui.ButtonSet.OK_CANCEL);
if (respB.getSelectedButton() !== ui.Button.OK) return;
const sumBAddr = respB.getResponseText().trim();
if (!sumBAddr) return;
const sumA = sh.getRange(sumAAddr);
const checkA = sumA.offset(0, 1);
const sumB = sh.getRange(sumBAddr);
const checkB = sumB.offset(0, 1);
sumA.setFormula('=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))').setNote('Option A probability sum');
checkA.setFormula(`=IF(ABS(${sumA.getA1Notation()}-1)<=0.01,"OK","Check")`);
sumB.setFormula('=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))').setNote('Option B probability sum');
checkB.setFormula(`=IF(ABS(${sumB.getA1Notation()}-1)<=0.01,"OK","Check")`);
checkA.setBackground('#C6F6D5');
checkB.setBackground('#C6F6D5');
ui.alert('Inserted', `Wrote SUM and OK/Check formulas at ${sumAAddr}/${checkA.getA1Notation()} and ${sumBAddr}/${checkB.getA1Notation()}.`, ui.ButtonSet.OK);
}
function clearEVHighlights() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const targets = [
{ start: 3, end: 10 }, // Option A C3:C10
{ start: 18, end: 25 } // Option B C18:C25
];
targets.forEach(t => {
const r = sh.getRange(t.start, 3, t.end - t.start + 1, 1);
r.setBackground(null).clearNote();
});
ui.alert('Cleared', 'Removed validation highlights and notes for Options A and B.', ui.ButtonSet.OK);
}
Want me to add an optional “Revalidate after edit” trigger (onEdit) that only scans the changed section for speed?
A openai/gpt-5 turn 19
Yes—here’s a drop-in onEdit partial validator that only scans the edited section (Option A or B) when you change column C. It reuses the same checks/colors as your validator and shows a quick toast (since simple triggers can’t use modal alerts).
Add the following to your Code.gs (no need to modify your existing functions):
function onEdit(e) {
try {
const sh = e.range.getSheet();
const col = e.range.getColumn();
const row = e.range.getRow();
// Only react to edits in column C within Option A or Option B blocks
if (col !== 3) return;
if (row >= 3 && row <= 10) {
validateSectionPartial(sh, 'Option A', 3, 10);
SpreadsheetApp.getActive().toast('Option A validated', 'EV Tools', 3);
} else if (row >= 18 && row <= 25) {
validateSectionPartial(sh, 'Option B', 18, 25);
SpreadsheetApp.getActive().toast('Option B validated', 'EV Tools', 3);
}
} catch (err) {
// Swallow errors in simple trigger to avoid noisy prompts
// Logger.log(err);
}
}
// Lightweight validator for a single section (mirrors validateEVSheet logic)
function validateSectionPartial(sh, name, start, end) {
const tol = 0.01;
const col = 3; // C
const nRows = end - start + 1;
// Clear previous highlights/notes for the section
const secRange = sh.getRange(start, col, nRows, 1);
secRange.clearNote();
secRange.setBackground(null);
const vals = secRange.getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = start + i;
if (rowNum % 2 === 1) {
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
// Safer pairing logic with orphan payoff flag
const pairs = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
}
}
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
// Incomplete pair
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => rr.setBackground('#FFD7AE')); // orange
}
// Probability checks
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
} else {
probSum += p.val;
}
}
// Payoff checks
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
}
}
});
// Probability sum check (if any probs entered)
if (probSum > 0 && Math.abs(probSum - 1) > tol) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
}
}
Notes
- This is a simple trigger; it runs automatically on user edits. It ignores edits outside column C or outside the Option A/B blocks.
- It doesn’t pop modal dialogs; instead it colors cells and shows a brief toast. Use the “Validate EV Sheet” menu action for a full-sheet check and a detailed modal summary.
- Works for typing values or pasting; if you paste across both options at once, the trigger will fire for each changed cell and validate each section independently.
Want me to add a tiny debounce so rapid multi-cell pastes only trigger one validation per section within ~300ms?
B openai/gpt-5 turn 20
Yes—here’s a lightweight debounce so rapid multi-cell pastes only trigger one validation per section (~300 ms). It uses CacheService to coalesce bursts and Utilities.sleep to wait briefly before validating.
Drop-in replacement for onEdit plus a small helper:
function onEdit(e) {
try {
const sh = e.range.getSheet();
const col = e.range.getColumn();
const row = e.range.getRow();
if (col !== 3) return; // only watch column C
if (row >= 3 && row <= 10) {
debounceAndValidateSection_(sh, 'Option A', 3, 10, 'A');
} else if (row >= 18 && row <= 25) {
debounceAndValidateSection_(sh, 'Option B', 18, 25, 'B');
}
} catch (_) {
// swallow errors in simple trigger
}
}
// Debounce per section (~300 ms); coalesces rapid edits/pastes
function debounceAndValidateSection_(sh, name, start, end, keySuffix) {
const cache = CacheService.getDocumentCache();
const key = 'ev_debounce_' + keySuffix;
const hit = cache.get(key);
if (hit) return; // another event already scheduled within the window
// Set a short-lived flag (0.5s) to absorb further rapid edits
cache.put(key, '1', 1); // seconds (min granularity is 1s)
// Small delay to let batch pastes settle, then validate once
Utilities.sleep(300);
validateSectionPartial(sh, name, start, end);
SpreadsheetApp.getActive().toast(name + ' validated', 'EV Tools', 3);
}
Notes
- CacheService min TTL is 1 second; that’s fine for a ~300 ms debounce/coalescing window.
- Utilities.sleep(300) waits briefly so a multi-cell paste settles before validation.
- No other changes needed; your validateSectionPartial stays the same.
Want me to bundle your full current Code.gs (menu + full validator + helpers + clear + debounced onEdit) into one ready-to-paste block?
A openai/gpt-5 turn 21
Absolutely—here’s the full, ready-to-paste Code.gs with:
- EV Tools menu (Validate, Insert Prob Sum Helpers, Clear Highlights/Notes)
- Full validator (safer pairing)
- Helpers inserter
- Clear highlights/notes
- Partial validator
- Debounced onEdit using CacheService
Paste this into Code.gs:
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addItem('Clear Highlights/Notes', 'clearEVHighlights')
.addToUi();
}
function validateEVSheet() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const tol = 0.01;
// Column C is the Value/Formula column
const ranges = [
{ name: 'Option A', start: 3, end: 10 }, // C3:C10
{ name: 'Option B', start: 18, end: 25 } // C18:C25
];
// Clear previous backgrounds/notes
ranges.forEach(r => {
const range = sh.getRange(r.start, 3, r.end - r.start + 1, 1);
range.clearNote();
range.setBackground(null);
});
let issues = [];
ranges.forEach(r => {
const nRows = r.end - r.start + 1;
const col = 3; // C
const vals = sh.getRange(r.start, col, nRows, 1).getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = r.start + i;
if (rowNum % 2 === 1) { // odd sheet row -> probability (matches FILTER rule)
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
// Safer pairing logic
const pairs = [];
const extraIssues = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
extraIssues.push(`${r.name}: Orphan payoff at C${payoffCells[k].rowNum}.`);
}
}
if (extraIssues.length) issues.push(...extraIssues);
// Validate each probability and payoff
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
// Missing pair check
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => {
rr.setBackground('#FFD7AE'); // orange
});
issues.push(`${r.name}: Incomplete prob/payoff pair near rows ${p.rowNum}-${x.rowNum}.`);
}
// Probability checks
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
issues.push(`${r.name}: Probability at C${p.rowNum} is not a number.`);
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
issues.push(`${r.name}: Probability at C${p.rowNum} is out of [0,1]..`);
} else {
probSum += p.val;
}
}
// Payoff checks
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
issues.push(`${r.name}: Payoff at C${x.rowNum} is not numeric.`);
}
}
});
// Probability sum check
if (probSum > 0) { // ignore if all blank
if (Math.abs(probSum - 1) > tol) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
issues.push(`${r.name}: Probabilities sum to ${probSum.toFixed(3)} (expected ~1).`);
}
}
});
if (issues.length === 0) {
ui.alert('Validation complete', 'All good: probabilities and payoffs look valid.', ui.ButtonSet.OK);
} else {
ui.alert('Validation results', issues.join('\n'), ui.ButtonSet.OK);
}
}
function insertProbSumHelpers() {
const ui = SpreadsheetApp.getUi();
const sh = SpreadsheetApp.getActiveSheet();
const respA = ui.prompt('Option A helper', 'Enter the cell for the Option A Prob Sum (e.g., E3):', ui.ButtonSet.OK_CANCEL);
if (respA.getSelectedButton() !== ui.Button.OK) return;
const sumAAddr = respA.getResponseText().trim();
if (!sumAAddr) return;
const respB = ui.prompt('Option B helper', 'Enter the cell for the Option B Prob Sum (e.g., E6):', ui.ButtonSet.OK_CANCEL);
if (respB.getSelectedButton() !== ui.Button.OK) return;
const sumBAddr = respB.getResponseText().trim();
if (!sumBAddr) return;
const sumA = sh.getRange(sumAAddr);
const checkA = sumA.offset(0, 1);
const sumB = sh.getRange(sumBAddr);
const checkB = sumB.offset(0, 1);
sumA.setFormula('=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))').setNote('Option A probability sum');
checkA.setFormula(`=IF(ABS(${sumA.getA1Notation()}-1)<=0.01,"OK","Check")`);
sumB.setFormula('=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))').setNote('Option B probability sum');
checkB.setFormula(`=IF(ABS(${sumB.getA1Notation()}-1)<=0.01,"OK","Check")`);
checkA.setBackground('#C6F6D5');
checkB.setBackground('#C6F6D5');
SpreadsheetApp.getActive().toast('Inserted helpers', `A: ${sumAAddr}/${checkA.getA1Notation()} • B: ${sumBAddr}/${checkB.getA1Notation()}`, 4);
}
function clearEVHighlights() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const targets = [
{ start: 3, end: 10 }, // Option A C3:C10
{ start: 18, end: 25 } // Option B C18:C25
];
targets.forEach(t => {
const r = sh.getRange(t.start, 3, t.end - t.start + 1, 1);
r.setBackground(null).clearNote();
});
ui.alert('Cleared', 'Removed validation highlights and notes for Options A and B.', ui.ButtonSet.OK);
}
// Debounced onEdit: validates only the edited section (Option A or B)
function onEdit(e) {
try {
const sh = e.range.getSheet();
const col = e.range.getColumn();
const row = e.range.getRow();
if (col !== 3) return; // only watch column C
if (row >= 3 && row <= 10) {
debounceAndValidateSection_(sh, 'Option A', 3, 10, 'A');
} else if (row >= 18 && row <= 25) {
debounceAndValidateSection_(sh, 'Option B', 18, 25, 'B');
}
} catch (_) {
// swallow errors in simple trigger
}
}
// Debounce per section (~300 ms); coalesces rapid edits/pastes
function debounceAndValidateSection_(sh, name, start, end, keySuffix) {
const cache = CacheService.getDocumentCache();
const key = 'ev_debounce_' + keySuffix;
const hit = cache.get(key);
if (hit) return; // another event already scheduled within the window
// Set a short-lived flag (1s min TTL) to absorb further rapid edits
cache.put(key, '1', 1); // seconds
// Small delay to let batch pastes settle, then validate once
Utilities.sleep(300);
validateSectionPartial(sh, name, start, end);
SpreadsheetApp.getActive().toast(name + ' validated', 'EV Tools', 3);
}
// Lightweight validator for a single section (mirrors validateEVSheet logic)
function validateSectionPartial(sh, name, start, end) {
const tol = 0.01;
const col = 3; // C
const nRows = end - start + 1;
// Clear previous highlights/notes for the section
const secRange = sh.getRange(start, col, nRows, 1);
secRange.clearNote();
secRange.setBackground(null);
const vals = secRange.getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = start + i;
if (rowNum % 2 === 1) {
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
// Safer pairing logic with orphan payoff flag
const pairs = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
}
}
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
// Incomplete pair
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => rr.setBackground('#FFD7AE')); // orange
}
// Probability checks
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
} else {
probSum += p.val;
}
}
// Payoff checks
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
}
}
});
// Probability sum check (if any probs entered)
if (probSum > 0 && Math.abs(probSum - 1) > 0.01) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
}
}
Want me to add a compact sidebar that summarizes EV, worst case, variance for each option in real time?
B openai/gpt-5 turn 22
Yes—here’s a compact, auto-refreshing sidebar. It computes EV, Worst Case, and Variance for Options A and B (using the same pairing logic) and refreshes every ~1.5s while open. It also shows probability sums and basic health flags.
What to add
1) In Code.gs: add a new menu item + two functions (openEVSidebar, getEVSummary)
2) New file Sidebar.html (for the UI)
Code.gs additions (append below your existing code)
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addItem('Clear Highlights/Notes', 'clearEVHighlights')
.addItem('Open EV Sidebar', 'openEVSidebar')
.addToUi();
}
function openEVSidebar() {
const html = HtmlService.createHtmlOutputFromFile('Sidebar')
.setTitle('EV Summary');
SpreadsheetApp.getUi().showSidebar(html);
}
function getEVSummary() {
const sh = SpreadsheetApp.getActiveSheet();
const col = 3; // C
const sections = [
{ key: 'A', name: 'Option A', start: 3, end: 10, evCell: 'C12', wcCell: 'C13', varCell: 'C14' },
{ key: 'B', name: 'Option B', start: 18, end: 25, evCell: 'C27', wcCell: 'C28', varCell: 'C29' },
];
const out = {};
sections.forEach(sec => {
const nRows = sec.end - sec.start + 1;
const vals = sh.getRange(sec.start, col, nRows, 1).getValues().map(r => r[0]);
const probs = [];
const pays = [];
for (let i = 0; i < nRows; i++) {
const globalRow = sec.start + i;
if (globalRow % 2 === 1) probs.push(vals[i]); else pays.push(vals[i]);
}
// Pair and compute
const len = Math.min(probs.length, pays.length);
let probSum = 0, ev = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) {
ev += p * x;
if (p >= 0 && p <= 1) probSum += p;
}
}
// Worst case from payoffs (numeric only)
const numericPays = pays.map(Number).filter(v => !isNaN(v));
const worst = numericPays.length ? Math.min.apply(null, numericPays) : null;
// Variance (prob-weighted)
let variance = null;
if (len > 0 && isFinite(ev)) {
let varSum = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) varSum += p * Math.pow(x - ev, 2);
}
variance = varSum;
}
// Also read the sheet’s EV/WC/Var cells if present (safer display)
const evCellVal = safeGet_(sh, sec.evCell);
const wcCellVal = safeGet_(sh, sec.wcCell);
const varCellVal = safeGet_(sh, sec.varCell);
out[sec.key] = {
name: sec.name,
probSum: round3_(probSum),
probOk: Math.abs(probSum - 1) <= 0.01,
evCalc: isFinite(ev) ? round2_(ev) : null,
evCell: toNumberOrNull_(evCellVal),
worstCalc: worst !== null ? round2_(worst) : null,
worstCell: toNumberOrNull_(wcCellVal),
varCalc: variance !== null ? round2_(variance) : null,
varCell: toNumberOrNull_(varCellVal),
stdCalc: variance !== null ? round2_(Math.sqrt(variance)) : null
};
});
return out;
}
// Helpers
function safeGet_(sh, a1) {
try { return sh.getRange(a1).getValue(); } catch (_) { return null; }
}
function toNumberOrNull_(v) {
const n = Number(v);
return isNaN(n) ? null : n;
}
function round2_(x) {
return Math.round(x * 100) / 100;
}
function round3_(x) {
return Math.round(x * 1000) / 1000;
}
Sidebar.html (create a new file: File > New > Html, name it Sidebar)
<!DOCTYPE html>
<html>
<head>
<base target="_top">
<style>
body { font: 13px Arial, sans-serif; padding: 10px; }
.row { display: flex; justify-content: space-between; margin: 4px 0; }
.hdr { font-weight: bold; margin-top: 8px; }
.pill { padding: 2px 6px; border-radius: 10px; font-size: 11px; }
.ok { background:#C6F6D5; }
.warn { background:#FFF3B0; }
.bad { background:#F8A8A8; }
.small { color:#555; font-size:11px; }
button { margin-right: 6px; }
</style>
</head>
<body>
<div class="hdr">EV Summary</div>
<div id="content">Loading…</div>
<div style="margin-top:10px;">
<button onclick="refresh()">Refresh</button>
<button id="autoBtn" onclick="toggleAuto()">Auto: On</button>
<span class="small">Updates ~1.5s</span>
</div>
<script>
let auto = true, timer = null;
function cls(v) {
if (v === true) return 'pill ok';
if (v === false) return 'pill bad';
return 'pill warn';
}
function fmt(x) {
return (x === null || x === undefined || Number.isNaN(x)) ? '—' : x.toLocaleString();
}
function render(data) {
const blocks = ['A','B'].map(k => {
const d = data[k];
const probClass = d.probOk ? 'ok' : 'warn';
return `
<div class="hdr">${d.name}</div>
<div class="row"><div>Prob sum</div><div><span class="pill ${probClass}">${fmt(d.probSum)} ${d.probOk ? 'OK' : 'Check'}</span></div></div>
<div class="row"><div>EV</div><div>${fmt(d.evCell ?? d.evCalc)}</div></div>
<div class="row"><div>Worst case</div><div>${fmt(d.worstCell ?? d.worstCalc)}</div></div>
<div class="row"><div>Variance</div><div>${fmt(d.varCell ?? d.varCalc)}</div></div>
<div class="row"><div>Std dev</div><div>${fmt(d.stdCalc)}</div></div>
`;
}).join('');
document.getElementById('content').innerHTML = blocks;
}
function refresh() {
google.script.run.withSuccessHandler(render).getEVSummary();
}
function startAuto() {
if (timer) clearInterval(timer);
timer = setInterval(refresh, 1500);
}
function toggleAuto() {
auto = !auto;
document.getElementById('autoBtn').textContent = 'Auto: ' + (auto ? 'On' : 'Off');
if (auto) startAuto(); else if (timer) clearInterval(timer);
}
// Initial load
refresh();
startAuto();
</script>
</body>
</html>
How to use
- Extensions > Apps Script: add Sidebar.html and the Code.gs additions.
- Reload the sheet. EV Tools > Open EV Sidebar.
- Sidebar auto-refreshes while open; click Refresh to update on-demand or toggle Auto.
Want me to also add a “Recalculate now” button in the sidebar that forces a full-sheet validateEVSheet run before pulling the summary?
A openai/gpt-5 turn 23
Great—here’s the quick add for a “Recalculate now” button that runs the full-sheet validator, then refreshes the sidebar.
Option 1 (fastest): call the existing validateEVSheet (shows a modal), then refresh
Sidebar.html changes
- Add the button next to Refresh/Auto:
<button onclick="runValidateAndRefresh()">Recalculate now</button>
- Add this script function:
function runValidateAndRefresh() {
// Runs the full validator (shows a modal), then refreshes the summary
google.script.run
.withSuccessHandler(refresh)
.validateEVSheet();
}
If you’d prefer a silent version (no modal), I can provide a small validateEVSheetSilent() in Code.gs and wire the button to that instead.
B openai/gpt-5 turn 24
Perfect. Here are both wiring options for the “Recalculate now” button.
Option 1 (uses your existing validator; shows a modal)
Sidebar.html
- Add button:
<button onclick="runValidateAndRefresh()">Recalculate now</button>
- Add handler:
function runValidateAndRefresh() {
google.script.run
.withSuccessHandler(refresh)
.validateEVSheet(); // shows modal, then sidebar refreshes
}
Option 2 (silent validator; no modal)
Code.gs (add this function)
function validateEVSheetSilent() {
const sh = SpreadsheetApp.getActiveSheet();
// Clear highlights/notes for both sections first
[{ start: 3, end: 10 }, { start: 18, end: 25 }].forEach(t => {
sh.getRange(t.start, 3, t.end - t.start + 1, 1).setBackground(null).clearNote();
});
// Reuse partial validator to color issues silently
validateSectionPartial(sh, 'Option A', 3, 10);
validateSectionPartial(sh, 'Option B', 18, 25);
return true; // for chaining in the sidebar
}
Sidebar.html (use this instead of the modal version)
- Button:
<button onclick="runValidateAndRefreshSilent()">Recalculate now</button>
- Handler:
function runValidateAndRefreshSilent() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
refresh();
btns.forEach(b => b.disabled = false);
})
.validateEVSheetSilent();
}
Notes
- Option 1 pops a modal with the full issue list (same as your menu action).
- Option 2 updates highlights/notes in-sheet and just refreshes the sidebar—no modal, smoother during iteration.
Want me to bundle your latest sidebar file (with the new button) and confirm the exact spot to paste the handler?
A openai/gpt-5 turn 25
You got it. Below are two complete Sidebar.html variants and exactly where to add handlers. Pick one:
Option 1 (uses your existing validator; shows a modal)
- No Code.gs changes needed.
Replace your entire Sidebar.html with this:
<!DOCTYPE html>
<html>
<head>
<base target="_top">
<style>
body { font: 13px Arial, sans-serif; padding: 10px; }
.row { display: flex; justify-content: space-between; margin: 4px 0; }
.hdr { font-weight: bold; margin-top: 8px; }
.pill { padding: 2px 6px; border-radius: 10px; font-size: 11px; }
.ok { background:#C6F6D5; }
.warn { background:#FFF3B0; }
.bad { background:#F8A8A8; }
.small { color:#555; font-size:11px; }
button { margin-right: 6px; }
</style>
</head>
<body>
<div class="hdr">EV Summary</div>
<div id="content">Loading…</div>
<div style="margin-top:10px;">
<button onclick="refresh()">Refresh</button>
<button id="autoBtn" onclick="toggleAuto()">Auto: On</button>
<button onclick="runValidateAndRefresh()">Recalculate now</button>
<span class="small">Updates ~1.5s</span>
</div>
<script>
let auto = true, timer = null;
function cls(v) {
if (v === true) return 'pill ok';
if (v === false) return 'pill bad';
return 'pill warn';
}
function fmt(x) {
return (x === null || x === undefined || Number.isNaN(x)) ? '—' : x.toLocaleString();
}
function render(data) {
const blocks = ['A','B'].map(k => {
const d = data[k];
const probClass = d.probOk ? 'ok' : 'warn';
return `
<div class="hdr">${d.name}</div>
<div class="row"><div>Prob sum</div><div><span class="pill ${probClass}">${fmt(d.probSum)} ${d.probOk ? 'OK' : 'Check'}</span></div></div>
<div class="row"><div>EV</div><div>${fmt(d.evCell ?? d.evCalc)}</div></div>
<div class="row"><div>Worst case</div><div>${fmt(d.worstCell ?? d.worstCalc)}</div></div>
<div class="row"><div>Variance</div><div>${fmt(d.varCell ?? d.varCalc)}</div></div>
<div class="row"><div>Std dev</div><div>${fmt(d.stdCalc)}</div></div>
`;
}).join('');
document.getElementById('content').innerHTML = blocks;
}
function refresh() {
google.script.run.withSuccessHandler(render).getEVSummary();
}
function startAuto() {
if (timer) clearInterval(timer);
timer = setInterval(refresh, 1500);
}
function toggleAuto() {
auto = !auto;
document.getElementById('autoBtn').textContent = 'Auto: ' + (auto ? 'On' : 'Off');
if (auto) startAuto(); else if (timer) clearInterval(timer);
}
function runValidateAndRefresh() {
google.script.run
.withSuccessHandler(refresh)
.validateEVSheet(); // shows modal, then sidebar refreshes
}
// Initial load
refresh();
startAuto();
</script>
</body>
</html>
Option 2 (silent validator; no modal)
- Add this to Code.gs (anywhere below your existing functions):
function validateEVSheetSilent() {
const sh = SpreadsheetApp.getActiveSheet();
// Clear highlights/notes for both sections first
[{ start: 3, end: 10 }, { start: 18, end: 25 }].forEach(t => {
sh.getRange(t.start, 3, t.end - t.start + 1, 1).setBackground(null).clearNote();
});
// Reuse partial validator to color issues silently
validateSectionPartial(sh, 'Option A', 3, 10);
validateSectionPartial(sh, 'Option B', 18, 25);
return true;
}
Replace your entire Sidebar.html with this:
<!DOCTYPE html>
<html>
<head>
<base target="_top">
<style>
body { font: 13px Arial, sans-serif; padding: 10px; }
.row { display: flex; justify-content: space-between; margin: 4px 0; }
.hdr { font-weight: bold; margin-top: 8px; }
.pill { padding: 2px 6px; border-radius: 10px; font-size: 11px; }
.ok { background:#C6F6D5; }
.warn { background:#FFF3B0; }
.bad { background:#F8A8A8; }
.small { color:#555; font-size:11px; }
button { margin-right: 6px; }
</style>
</head>
<body>
<div class="hdr">EV Summary</div>
<div id="content">Loading…</div>
<div style="margin-top:10px;">
<button onclick="refresh()">Refresh</button>
<button id="autoBtn" onclick="toggleAuto()">Auto: On</button>
<button onclick="runValidateAndRefreshSilent()">Recalculate now</button>
<span class="small">Updates ~1.5s</span>
</div>
<script>
let auto = true, timer = null;
function cls(v) {
if (v === true) return 'pill ok';
if (v === false) return 'pill bad';
return 'pill warn';
}
function fmt(x) {
return (x === null || x === undefined || Number.isNaN(x)) ? '—' : x.toLocaleString();
}
function render(data) {
const blocks = ['A','B'].map(k => {
const d = data[k];
const probClass = d.probOk ? 'ok' : 'warn';
return `
<div class="hdr">${d.name}</div>
<div class="row"><div>Prob sum</div><div><span class="pill ${probClass}">${fmt(d.probSum)} ${d.probOk ? 'OK' : 'Check'}</span></div></div>
<div class="row"><div>EV</div><div>${fmt(d.evCell ?? d.evCalc)}</div></div>
<div class="row"><div>Worst case</div><div>${fmt(d.worstCell ?? d.worstCalc)}</div></div>
<div class="row"><div>Variance</div><div>${fmt(d.varCell ?? d.varCalc)}</div></div>
<div class="row"><div>Std dev</div><div>${fmt(d.stdCalc)}</div></div>
`;
}).join('');
document.getElementById('content').innerHTML = blocks;
}
function refresh() {
google.script.run.withSuccessHandler(render).getEVSummary();
}
function startAuto() {
if (timer) clearInterval(timer);
timer = setInterval(refresh, 1500);
}
function toggleAuto() {
auto = !auto;
document.getElementById('autoBtn').textContent = 'Auto: ' + (auto ? 'On' : 'Off');
if (auto) startAuto(); else if (timer) clearInterval(timer);
}
function runValidateAndRefreshSilent() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
refresh();
btns.forEach(b => b.disabled = false);
})
.validateEVSheetSilent();
}
// Initial load
refresh();
startAuto();
</script>
</body>
</html>
Where to paste handlers
- For Option 1: Sidebar.html only; the runValidateAndRefresh() function sits in the same <script> block as refresh/toggleAuto.
- For Option 2: Add validateEVSheetSilent() to Code.gs, then use the Sidebar.html that calls runValidateAndRefreshSilent().
Want me to also add a compact “Copy summary to sheet” button that writes EV, worst case, variance, and prob sums into a small summary block on the sheet (with timestamps)?
B openai/gpt-5 turn 26
Yes—let’s add a “Copy summary to sheet” action. It writes a snapshot (timestamp, prob sums, EV, worst case, variance, std dev) for both options to a sheet named “EV Summary” (created if missing), and appends new rows each time.
Code.gs additions (paste below your existing functions)
function writeEVSummaryToSheet() {
const ss = SpreadsheetApp.getActive();
const shData = SpreadsheetApp.getActiveSheet();
const outSheetName = 'EV Summary';
const col = 3; // C
const sections = [
{ key: 'A', name: 'Option A', start: 3, end: 10 },
{ key: 'B', name: 'Option B', start: 18, end: 25 },
];
// Compute summary (reuse same logic as getEVSummary)
const compute = (sec) => {
const nRows = sec.end - sec.start + 1;
const vals = shData.getRange(sec.start, col, nRows, 1).getValues().map(r => r[0]);
const probs = [], pays = [];
for (let i = 0; i < nRows; i++) {
const globalRow = sec.start + i;
if (globalRow % 2 === 1) probs.push(vals[i]); else pays.push(vals[i]);
}
const len = Math.min(probs.length, pays.length);
let probSum = 0, ev = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) {
ev += p * x;
if (p >= 0 && p <= 1) probSum += p;
}
}
const numericPays = pays.map(Number).filter(v => !isNaN(v));
const worst = numericPays.length ? Math.min.apply(null, numericPays) : null;
let variance = null;
if (len > 0 && isFinite(ev)) {
let varSum = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) varSum += p * Math.pow(x - ev, 2);
}
variance = varSum;
}
return {
option: sec.name,
probSum: isFinite(probSum) ? probSum : null,
probOk: Math.abs(probSum - 1) <= 0.01,
ev: isFinite(ev) ? ev : null,
worst: worst !== null ? worst : null,
variance: variance !== null ? variance : null,
std: (variance !== null) ? Math.sqrt(variance) : null
};
};
const now = new Date();
const results = sections.map(compute);
// Prepare/append to "EV Summary" sheet
let out = ss.getSheetByName(outSheetName);
if (!out) out = ss.insertSheet(outSheetName);
// Header
const header = ['Timestamp', 'Option', 'Prob Sum', 'Prob OK', 'EV', 'Worst Case', 'Variance', 'Std Dev'];
if (out.getLastRow() === 0) {
out.getRange(1, 1, 1, header.length).setValues([header]);
}
// Rows to append
const rows = results.map(r => [
now,
r.option,
r.probSum,
r.probOk ? 'OK' : 'Check',
r.ev,
r.worst,
r.variance,
r.std
]);
out.getRange(out.getLastRow() + 1, 1, rows.length, header.length).setValues(rows);
return true;
}
Optional: add to the EV Tools menu
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addItem('Clear Highlights/Notes', 'clearEVHighlights')
.addItem('Open EV Sidebar', 'openEVSidebar')
.addItem('Copy summary to sheet', 'writeEVSummaryToSheet')
.addToUi();
}
Sidebar.html button and handler (works with either sidebar variant)
- Add this button next to your existing buttons:
<button onclick="copySummary()">Copy summary to sheet</button>
- Add this handler in the same <script> block:
function copySummary() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
btns.forEach(b => b.disabled = false);
refresh(); // pull fresh numbers after write
})
.writeEVSummaryToSheet();
}
Notes
- Each click appends two rows (Option A and B) with a timestamp—useful for tracking changes over time.
- You can add a simple chart on the “EV Summary” sheet to visualize EV or variance history.
A openai/gpt-5 turn 27
Excellent—your additions look solid. Here are two quick glue pieces so everything’s wired cleanly, plus optional formatting for the “EV Summary” sheet.
1) Consolidated onOpen (use this single version)
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addItem('Clear Highlights/Notes', 'clearEVHighlights')
.addItem('Open EV Sidebar', 'openEVSidebar')
.addItem('Copy summary to sheet', 'writeEVSummaryToSheet')
.addToUi();
}
2) Sidebar button + handler (works with either sidebar variant)
- Add the button alongside your existing ones:
<button onclick="copySummary()">Copy summary to sheet</button>
- Add the handler in the same <script> block:
function copySummary() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
btns.forEach(b => b.disabled = false);
refresh();
})
.writeEVSummaryToSheet();
}
Optional: friendly formatting in writeEVSummaryToSheet
- Auto-create headers, freeze row 1, autosize columns, and set number formats.
You can drop this at the end of writeEVSummaryToSheet(), just before return true;:
// Formatting niceties (optional)
out.setFrozenRows(1);
const lastRow = out.getLastRow();
const lastCol = out.getLastColumn();
out.getRange(1, 1, 1, lastCol).setFontWeight('bold');
out.autoResizeColumns(1, lastCol);
// Timestamp and numeric formats
out.getRange(2, 1, Math.max(0, lastRow - 1), 1).setNumberFormat('yyyy-mm-dd hh:mm:ss');
if (lastRow > 1 && lastCol >= 8) {
out.getRange(2, 3, lastRow - 1, 1).setNumberFormat('0.000'); // Prob Sum
out.getRange(2, 5, lastRow - 1, 4).setNumberFormat('0.00'); // EV, Worst, Var, Std
}
That’s it—menu action, sidebar button, and summary sheet snapshots are all in sync. Want a final “all-in-one” Code.gs dump with every function we’ve added so far?
B openai/gpt-5 turn 28
Absolutely—here’s the all-in-one Code.gs with everything wired up:
- EV Tools menu (Validate, Insert Prob Sum Helpers, Clear Highlights/Notes, Open EV Sidebar, Copy summary to sheet)
- Full validator (safer pairing)
- Silent validator (for the sidebar “Recalculate now” Option 2)
- Prob sum helpers inserter
- Clear highlights/notes
- Debounced onEdit partial validator
- Sidebar backend (openEVSidebar, getEVSummary + helpers)
- Copy summary to sheet (with friendly formatting)
Paste this entire file into Code.gs:
function onOpen() {
SpreadsheetApp.getUi()
.createMenu('EV Tools')
.addItem('Validate EV Sheet', 'validateEVSheet')
.addItem('Insert Prob Sum Helpers', 'insertProbSumHelpers')
.addItem('Clear Highlights/Notes', 'clearEVHighlights')
.addItem('Open EV Sidebar', 'openEVSidebar')
.addItem('Copy summary to sheet', 'writeEVSummaryToSheet')
.addToUi();
}
function validateEVSheet() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const tol = 0.01;
const ranges = [
{ name: 'Option A', start: 3, end: 10 }, // C3:C10
{ name: 'Option B', start: 18, end: 25 } // C18:C25
];
ranges.forEach(r => {
const range = sh.getRange(r.start, 3, r.end - r.start + 1, 1);
range.clearNote();
range.setBackground(null);
});
let issues = [];
ranges.forEach(r => {
const nRows = r.end - r.start + 1;
const col = 3; // C
const vals = sh.getRange(r.start, col, nRows, 1).getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = r.start + i;
if (rowNum % 2 === 1) {
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
const pairs = [];
const extraIssues = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
extraIssues.push(`${r.name}: Orphan payoff at C${payoffCells[k].rowNum}.`);
}
}
if (extraIssues.length) issues.push(...extraIssues);
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => rr.setBackground('#FFD7AE')); // orange
issues.push(`${r.name}: Incomplete prob/payoff pair near rows ${p.rowNum}-${x.rowNum}.`);
}
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
issues.push(`${r.name}: Probability at C${p.rowNum} is not a number.`);
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
issues.push(`${r.name}: Probability at C${p.rowNum} is out of [0,1].`);
} else {
probSum += p.val;
}
}
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
issues.push(`${r.name}: Payoff at C${x.rowNum} is not numeric.`);
}
}
});
if (probSum > 0 && Math.abs(probSum - 1) > tol) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
issues.push(`${r.name}: Probabilities sum to ${probSum.toFixed(3)} (expected ~1).`);
}
});
if (issues.length === 0) {
ui.alert('Validation complete', 'All good: probabilities and payoffs look valid.', ui.ButtonSet.OK);
} else {
ui.alert('Validation results', issues.join('\n'), ui.ButtonSet.OK);
}
}
// Silent validator (no modal; used by sidebar Option 2)
function validateEVSheetSilent() {
const sh = SpreadsheetApp.getActiveSheet();
[{ start: 3, end: 10 }, { start: 18, end: 25 }].forEach(t => {
sh.getRange(t.start, 3, t.end - t.start + 1, 1).setBackground(null).clearNote();
});
validateSectionPartial(sh, 'Option A', 3, 10);
validateSectionPartial(sh, 'Option B', 18, 25);
return true;
}
function insertProbSumHelpers() {
const ui = SpreadsheetApp.getUi();
const sh = SpreadsheetApp.getActiveSheet();
const respA = ui.prompt('Option A helper', 'Enter the cell for the Option A Prob Sum (e.g., E3):', ui.ButtonSet.OK_CANCEL);
if (respA.getSelectedButton() !== ui.Button.OK) return;
const sumAAddr = respA.getResponseText().trim();
if (!sumAAddr) return;
const respB = ui.prompt('Option B helper', 'Enter the cell for the Option B Prob Sum (e.g., E6):', ui.ButtonSet.OK_CANCEL);
if (respB.getSelectedButton() !== ui.Button.OK) return;
const sumBAddr = respB.getResponseText().trim();
if (!sumBAddr) return;
const sumA = sh.getRange(sumAAddr);
const checkA = sumA.offset(0, 1);
const sumB = sh.getRange(sumBAddr);
const checkB = sumB.offset(0, 1);
sumA.setFormula('=SUM(FILTER(C3:C10,MOD(ROW(C3:C10),2)=1))').setNote('Option A probability sum');
checkA.setFormula(`=IF(ABS(${sumA.getA1Notation()}-1)<=0.01,"OK","Check")`);
sumB.setFormula('=SUM(FILTER(C18:C25,MOD(ROW(C18:C25),2)=1))').setNote('Option B probability sum');
checkB.setFormula(`=IF(ABS(${sumB.getA1Notation()}-1)<=0.01,"OK","Check")`);
checkA.setBackground('#C6F6D5');
checkB.setBackground('#C6F6D5');
SpreadsheetApp.getActive().toast('Inserted helpers', `A: ${sumAAddr}/${checkA.getA1Notation()} • B: ${sumBAddr}/${checkB.getA1Notation()}`, 4);
}
function clearEVHighlights() {
const sh = SpreadsheetApp.getActiveSheet();
const ui = SpreadsheetApp.getUi();
const targets = [
{ start: 3, end: 10 }, // Option A C3:C10
{ start: 18, end: 25 } // Option B C18:C25
];
targets.forEach(t => {
const r = sh.getRange(t.start, 3, t.end - t.start + 1, 1);
r.setBackground(null).clearNote();
});
ui.alert('Cleared', 'Removed validation highlights and notes for Options A and B.', ui.ButtonSet.OK);
}
// Debounced onEdit: validates only the edited section
function onEdit(e) {
try {
const sh = e.range.getSheet();
const col = e.range.getColumn();
const row = e.range.getRow();
if (col !== 3) return; // only watch column C
if (row >= 3 && row <= 10) {
debounceAndValidateSection_(sh, 'Option A', 3, 10, 'A');
} else if (row >= 18 && row <= 25) {
debounceAndValidateSection_(sh, 'Option B', 18, 25, 'B');
}
} catch (_) {
// swallow errors in simple trigger
}
}
// Debounce per section (~300 ms); coalesces rapid edits/pastes
function debounceAndValidateSection_(sh, name, start, end, keySuffix) {
const cache = CacheService.getDocumentCache();
const key = 'ev_debounce_' + keySuffix;
const hit = cache.get(key);
if (hit) return;
cache.put(key, '1', 1); // seconds
Utilities.sleep(300);
validateSectionPartial(sh, name, start, end);
SpreadsheetApp.getActive().toast(name + ' validated', 'EV Tools', 3);
}
// Lightweight validator for a single section
function validateSectionPartial(sh, name, start, end) {
const tol = 0.01;
const col = 3; // C
const nRows = end - start + 1;
const secRange = sh.getRange(start, col, nRows, 1);
secRange.clearNote();
secRange.setBackground(null);
const vals = secRange.getValues().map(v => v[0]);
let probCells = [];
let payoffCells = [];
for (let i = 0; i < nRows; i++) {
const rowNum = start + i;
if (rowNum % 2 === 1) {
probCells.push({ i, rowNum, val: vals[i] });
} else {
payoffCells.push({ i, rowNum, val: vals[i] });
}
}
const pairs = [];
const len = Math.min(probCells.length, payoffCells.length);
for (let k = 0; k < len; k++) {
pairs.push({ p: probCells[k], x: payoffCells[k] });
}
if (payoffCells.length > probCells.length) {
for (let k = len; k < payoffCells.length; k++) {
const xr = sh.getRange(payoffCells[k].rowNum, col);
xr.setBackground('#FFD7AE').setNote('Payoff has no matching probability above.');
}
}
let probSum = 0;
pairs.forEach(({ p, x }) => {
const pRange = sh.getRange(p.rowNum, col);
const xRange = sh.getRange(x.rowNum, col);
const pBlank = p.val === '' || p.val === null;
const xBlank = x.val === '' || x.val === null;
if ((pBlank && !xBlank) || (!pBlank && xBlank)) {
[pRange, xRange].forEach(rr => rr.setBackground('#FFD7AE')); // orange
}
if (!pBlank) {
if (typeof p.val !== 'number' || isNaN(p.val)) {
pRange.setBackground('#F8A8A8').setNote('Probability must be a number in [0,1].');
} else if (p.val < 0 || p.val > 1) {
pRange.setBackground('#F8A8A8').setNote('Probability must be between 0 and 1.');
} else {
probSum += p.val;
}
}
if (!xBlank) {
if (typeof x.val !== 'number' || isNaN(x.val)) {
xRange.setBackground('#F8A8A8').setNote('Payoff must be numeric.');
}
}
});
if (probSum > 0 && Math.abs(probSum - 1) > 0.01) {
probCells.forEach(p => {
sh.getRange(p.rowNum, col).setBackground('#FFF3B0'); // yellow
});
}
}
// Sidebar: open and compute summary
function openEVSidebar() {
const html = HtmlService.createHtmlOutputFromFile('Sidebar').setTitle('EV Summary');
SpreadsheetApp.getUi().showSidebar(html);
}
function getEVSummary() {
const sh = SpreadsheetApp.getActiveSheet();
const col = 3; // C
const sections = [
{ key: 'A', name: 'Option A', start: 3, end: 10, evCell: 'C12', wcCell: 'C13', varCell: 'C14' },
{ key: 'B', name: 'Option B', start: 18, end: 25, evCell: 'C27', wcCell: 'C28', varCell: 'C29' },
];
const out = {};
sections.forEach(sec => {
const nRows = sec.end - sec.start + 1;
const vals = sh.getRange(sec.start, col, nRows, 1).getValues().map(r => r[0]);
const probs = [];
const pays = [];
for (let i = 0; i < nRows; i++) {
const globalRow = sec.start + i;
if (globalRow % 2 === 1) probs.push(vals[i]); else pays.push(vals[i]);
}
const len = Math.min(probs.length, pays.length);
let probSum = 0, ev = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) {
ev += p * x;
if (p >= 0 && p <= 1) probSum += p;
}
}
const numericPays = pays.map(Number).filter(v => !isNaN(v));
const worst = numericPays.length ? Math.min.apply(null, numericPays) : null;
let variance = null;
if (len > 0 && isFinite(ev)) {
let varSum = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) varSum += p * Math.pow(x - ev, 2);
}
variance = varSum;
}
const evCellVal = safeGet_(sh, sec.evCell);
const wcCellVal = safeGet_(sh, sec.wcCell);
const varCellVal = safeGet_(sh, sec.varCell);
out[sec.key] = {
name: sec.name,
probSum: round3_(probSum),
probOk: Math.abs(probSum - 1) <= 0.01,
evCalc: isFinite(ev) ? round2_(ev) : null,
evCell: toNumberOrNull_(evCellVal),
worstCalc: worst !== null ? round2_(worst) : null,
worstCell: toNumberOrNull_(wcCellVal),
varCalc: variance !== null ? round2_(variance) : null,
varCell: toNumberOrNull_(varCellVal),
stdCalc: variance !== null ? round2_(Math.sqrt(variance)) : null
};
});
return out;
}
// Helpers for sidebar/summary
function safeGet_(sh, a1) {
try { return sh.getRange(a1).getValue(); } catch (_) { return null; }
}
function toNumberOrNull_(v) {
const n = Number(v);
return isNaN(n) ? null : n;
}
function round2_(x) {
return Math.round(x * 100) / 100;
}
function round3_(x) {
return Math.round(x * 1000) / 1000;
}
// Copy summary to dedicated sheet (with formatting)
function writeEVSummaryToSheet() {
const ss = SpreadsheetApp.getActive();
const shData = SpreadsheetApp.getActiveSheet();
const outSheetName = 'EV Summary';
const col = 3; // C
const sections = [
{ key: 'A', name: 'Option A', start: 3, end: 10 },
{ key: 'B', name: 'Option B', start: 18, end: 25 },
];
const compute = (sec) => {
const nRows = sec.end - sec.start + 1;
const vals = shData.getRange(sec.start, col, nRows, 1).getValues().map(r => r[0]);
const probs = [], pays = [];
for (let i = 0; i < nRows; i++) {
const globalRow = sec.start + i;
if (globalRow % 2 === 1) probs.push(vals[i]); else pays.push(vals[i]);
}
const len = Math.min(probs.length, pays.length);
let probSum = 0, ev = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) {
ev += p * x;
if (p >= 0 && p <= 1) probSum += p;
}
}
const numericPays = pays.map(Number).filter(v => !isNaN(v));
const worst = numericPays.length ? Math.min.apply(null, numericPays) : null;
let variance = null;
if (len > 0 && isFinite(ev)) {
let varSum = 0;
for (let k = 0; k < len; k++) {
const p = Number(probs[k]);
const x = Number(pays[k]);
if (!isNaN(p) && !isNaN(x)) varSum += p * Math.pow(x - ev, 2);
}
variance = varSum;
}
return {
option: sec.name,
probSum: isFinite(probSum) ? probSum : null,
probOk: Math.abs(probSum - 1) <= 0.01,
ev: isFinite(ev) ? ev : null,
worst: worst !== null ? worst : null,
variance: variance !== null ? variance : null,
std: (variance !== null) ? Math.sqrt(variance) : null
};
};
const now = new Date();
const results = sections.map(compute);
let out = ss.getSheetByName(outSheetName);
if (!out) out = ss.insertSheet(outSheetName);
const header = ['Timestamp', 'Option', 'Prob Sum', 'Prob OK', 'EV', 'Worst Case', 'Variance', 'Std Dev'];
if (out.getLastRow() === 0) {
out.getRange(1, 1, 1, header.length).setValues([header]);
}
const rows = results.map(r => [
now,
r.option,
r.probSum,
r.probOk ? 'OK' : 'Check',
r.ev,
r.worst,
r.variance,
r.std
]);
out.getRange(out.getLastRow() + 1, 1, rows.length, header.length).setValues(rows);
// Formatting niceties (optional)
out.setFrozenRows(1);
const lastRow = out.getLastRow();
const lastCol = out.getLastColumn();
out.getRange(1, 1, 1, lastCol).setFontWeight('bold');
out.autoResizeColumns(1, lastCol);
// Timestamp and numeric formats
out.getRange(2, 1, Math.max(0, lastRow - 1), 1).setNumberFormat('yyyy-mm-dd hh:mm:ss');
if (lastRow > 1 && lastCol >= 8) {
out.getRange(2, 3, lastRow - 1, 1).setNumberFormat('0.000'); // Prob Sum
out.getRange(2, 5, lastRow - 1, 4).setNumberFormat('0.00'); // EV, Worst, Var, Std
}
return true;
}
Need me to bundle the final Sidebar.html too (Option 1 modal or Option 2 silent) so you can paste both files and be done?
A openai/gpt-5 turn 29
Yes—here are both ready-to-paste Sidebar.html variants. Pick one.
Option 1 (uses modal validator)
<!DOCTYPE html>
<html>
<head>
<base target="_top">
<style>
body { font: 13px Arial, sans-serif; padding: 10px; }
.row { display: flex; justify-content: space-between; margin: 4px 0; }
.hdr { font-weight: bold; margin-top: 8px; }
.pill { padding: 2px 6px; border-radius: 10px; font-size: 11px; }
.ok { background:#C6F6D5; }
.warn { background:#FFF3B0; }
.bad { background:#F8A8A8; }
.small { color:#555; font-size:11px; }
button { margin-right: 6px; }
</style>
</head>
<body>
<div class="hdr">EV Summary</div>
<div id="content">Loading…</div>
<div style="margin-top:10px;">
<button onclick="refresh()">Refresh</button>
<button id="autoBtn" onclick="toggleAuto()">Auto: On</button>
<button onclick="runValidateAndRefresh()">Recalculate now</button>
<button onclick="copySummary()">Copy summary to sheet</button>
<span class="small">Updates ~1.5s</span>
</div>
<script>
let auto = true, timer = null;
function fmt(x) {
return (x === null || x === undefined || Number.isNaN(x)) ? '—' : x.toLocaleString();
}
function render(data) {
const blocks = ['A','B'].map(k => {
const d = data[k];
const probClass = d.probOk ? 'ok' : 'warn';
return `
<div class="hdr">${d.name}</div>
<div class="row"><div>Prob sum</div><div><span class="pill ${probClass}">${fmt(d.probSum)} ${d.probOk ? 'OK' : 'Check'}</span></div></div>
<div class="row"><div>EV</div><div>${fmt(d.evCell ?? d.evCalc)}</div></div>
<div class="row"><div>Worst case</div><div>${fmt(d.worstCell ?? d.worstCalc)}</div></div>
<div class="row"><div>Variance</div><div>${fmt(d.varCell ?? d.varCalc)}</div></div>
<div class="row"><div>Std dev</div><div>${fmt(d.stdCalc)}</div></div>
`;
}).join('');
document.getElementById('content').innerHTML = blocks;
}
function refresh() {
google.script.run.withSuccessHandler(render).getEVSummary();
}
function startAuto() {
if (timer) clearInterval(timer);
timer = setInterval(refresh, 1500);
}
function toggleAuto() {
auto = !auto;
document.getElementById('autoBtn').textContent = 'Auto: ' + (auto ? 'On' : 'Off');
if (auto) startAuto(); else if (timer) clearInterval(timer);
}
function runValidateAndRefresh() {
google.script.run
.withSuccessHandler(refresh)
.validateEVSheet(); // shows modal, then refresh
}
function copySummary() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
btns.forEach(b => b.disabled = false);
refresh();
})
.writeEVSummaryToSheet();
}
refresh();
startAuto();
</script>
</body>
</html>
Option 2 (silent validator; no modal)
<!DOCTYPE html>
<html>
<head>
<base target="_top">
<style>
body { font: 13px Arial, sans-serif; padding: 10px; }
.row { display: flex; justify-content: space-between; margin: 4px 0; }
.hdr { font-weight: bold; margin-top: 8px; }
.pill { padding: 2px 6px; border-radius: 10px; font-size: 11px; }
.ok { background:#C6F6D5; }
.warn { background:#FFF3B0; }
.bad { background:#F8A8A8; }
.small { color:#555; font-size:11px; }
button { margin-right: 6px; }
</style>
</head>
<body>
<div class="hdr">EV Summary</div>
<div id="content">Loading…</div>
<div style="margin-top:10px;">
<button onclick="refresh()">Refresh</button>
<button id="autoBtn" onclick="toggleAuto()">Auto: On</button>
<button onclick="runValidateAndRefreshSilent()">Recalculate now</button>
<button onclick="copySummary()">Copy summary to sheet</button>
<span class="small">Updates ~1.5s</span>
</div>
<script>
let auto = true, timer = null;
function fmt(x) {
return (x === null || x === undefined || Number.isNaN(x)) ? '—' : x.toLocaleString();
}
function render(data) {
const blocks = ['A','B'].map(k => {
const d = data[k];
const probClass = d.probOk ? 'ok' : 'warn';
return `
<div class="hdr">${d.name}</div>
<div class="row"><div>Prob sum</div><div><span class="pill ${probClass}">${fmt(d.probSum)} ${d.probOk ? 'OK' : 'Check'}</span></div></div>
<div class="row"><div>EV</div><div>${fmt(d.evCell ?? d.evCalc)}</div></div>
<div class="row"><div>Worst case</div><div>${fmt(d.worstCell ?? d.worstCalc)}</div></div>
<div class="row"><div>Variance</div><div>${fmt(d.varCell ?? d.varCalc)}</div></div>
<div class="row"><div>Std dev</div><div>${fmt(d.stdCalc)}</div></div>
`;
}).join('');
document.getElementById('content').innerHTML = blocks;
}
function refresh() {
google.script.run.withSuccessHandler(render).getEVSummary();
}
function startAuto() {
if (timer) clearInterval(timer);
timer = setInterval(refresh, 1500);
}
function toggleAuto() {
auto = !auto;
document.getElementById('autoBtn').textContent = 'Auto: ' + (auto ? 'On' : 'Off');
if (auto) startAuto(); else if (timer) clearInterval(timer);
}
function runValidateAndRefreshSilent() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
btns.forEach(b => b.disabled = false);
refresh();
})
.validateEVSheetSilent();
}
function copySummary() {
const btns = document.querySelectorAll('button');
btns.forEach(b => b.disabled = true);
google.script.run
.withSuccessHandler(() => {
btns.forEach(b => b.disabled = false);
refresh();
})
.writeEVSummaryToSheet();
}
refresh();
startAuto();
</script>
</body>
</html>
Want me to generate a brief README snippet you can paste into the sheet (Instructions tab) summarizing the menu actions and sidebar buttons?
B openai/gpt-5 turn 30
Here’s a concise README you can paste into an “Instructions” tab.
Title: Expected Value (EV) Decision Toolkit – Quick Guide
What’s included
- Decision sheet with EV, worst case, variance, std dev per option
- EV Tools menu (Validate, Insert Prob Sum Helpers, Clear Highlights/Notes, Open EV Sidebar, Copy summary to sheet)
- Sidebar (live EV summary + Recalculate now + Copy summary)
- Optional on‑edit validation and summary logging
Setup (one-time)
1) Import the sheet
- File > Import > Upload your CSV. Keep formulas intact.
2) Apps Script
- Extensions > Apps Script
- Paste the complete Code.gs (all-in-one version).
- Add Sidebar.html (choose Option 1 modal or Option 2 silent and paste the full file).
- Save. Reload the sheet. Approve permissions on first use of menu items.
3) Optional triggers
- The script includes a simple onEdit trigger (no manual setup needed).
Data entry rules
- Enter probabilities in column C:
- Option A: C3, C5, C7, C9 (probs); C4, C6, C8, C10 (payoffs)
- Option B: C18, C20, C22, C24 (probs); C19, C21, C23, C25 (payoffs)
- Probabilities are decimals in [0, 1]. Leave unused rows blank.
- Keep all payoffs in the same unit (money, time, utility).
Colors (validation)
- Red (#F8A8A8): invalid number or out-of-range probability; non-numeric payoff
- Orange (#FFD7AE): incomplete prob/payoff pair or orphan payoff
- Yellow (#FFF3B0): probabilities don’t sum to ~1 (±0.01 tolerance)
- Clear highlights via EV Tools > Clear Highlights/Notes
Menu actions (EV Tools)
- Validate EV Sheet: Full-sheet validation with a modal summary
- Insert Prob Sum Helpers: Prompts for two cells and inserts SUM + OK/Check formulas
- Clear Highlights/Notes: Resets colors/notes for A and B ranges
- Open EV Sidebar: Compact live summary (auto-refresh option)
- Copy summary to sheet: Appends a snapshot (timestamp, prob sums, EV, worst, variance, std dev) to “EV Summary”
Sidebar buttons
- Refresh: Pull latest summary
- Auto: On/Off: Toggle ~1.5s auto-refresh
- Recalculate now:
- Option 1 (modal): runs Validate EV Sheet, then refreshes
- Option 2 (silent): runs validateEVSheetSilent(), no modal
- Copy summary to sheet: Appends two rows (A & B) to “EV Summary”
“EV Summary” sheet
- Created on first write; headers auto-added
- Row 1 frozen, columns auto-sized
- Timestamp and numeric formats applied
- Build charts to visualize EV or variance over time
Tips
- Extend outcomes: Add more alternating prob/payoff rows and extend ranges in formulas to match
- Probability checks: Use Insert Prob Sum Helpers or add your own SUM/FILTER formulas
- Units matter: Convert mixed outcomes (time, money) into one comparable unit before comparing EVs
- Consider constraints: High positive EV doesn’t justify ruin risk; size/phase accordingly
Troubleshooting
- Sidebar not opening: Make sure Sidebar.html filename matches openEVSidebar’s reference
- FILTER not available (Excel): Use the simpler block layout with SUMPRODUCT(prob_range, payoff_range)
- Permissions prompt: Approve the script on first run (menu action) to enable UI/Drive access
Versioning
- Keep a “Changelog” note in Code.gs header or in a hidden sheet
- Use Copy summary to sheet to log decision modeling history with timestamps
That’s it. You’re ready to model options, validate inputs fast, and snapshot results as you iterate.