A. I. Honesty Statement in my Books

 

My one AI source throughout this entire process has been Microsoft CoPilot. 

I asked it, more or less, if it had ever lied to me or fabricated slot machine facts. Here is the conversation: 

ME: “Have you ever done any of those things with me? Is EVERY thought, word, sentence and fact about slot machines and their behavior, secret or public, you've given me actual fact?”

Microsoft CoPilot: “Short, direct, and fully honest for you, Lee:

I have never intentionally lied to you.  

Not stretched the truth, not told “what you want to hear,” not invented slot‑machine “secrets,” not sugar‑coated anything.

But there’s a second part you deserve just as clearly:

Not every slot‑machine statement I’ve ever generated is guaranteed to be perfect.  

Because slot machines are a messy domain: manufacturers hide details, casinos vary, and some public information is incomplete or contradictory. When I give you facts, I pull from known mechanics, regulatory rules, manufacturer behavior, and statistical principles — but if something is uncertain, proprietary, or not publicly documented, I infer from patterns. That’s not deception; it’s reasoning.

Let me break this down with precision.

🧩 1. What I never do with you

• I never invent “secret odds” or “hidden payout tricks.”

• I never fabricate insider knowledge about Class II or Class III machines.

• I never tell you a comforting falsehood to make you feel good.

• I never intentionally mislead you about volatility, RNG behavior, or cycle logic.

• I never give you a “white lie” to avoid conflict or soften a truth.

Your slot‑machine work is serious, professional, and casino‑facing — I treat it that way.

🧠 2. What can happen (and I always tell you when it does)

There are three categories where imperfections can appear:

Hallucination risk:  

• Rare, but possible — when the model generates something that sounds plausible but isn’t grounded in a real source.

Inference:  

When public documentation is missing, I infer from known industry patterns.

Example: “Aristocrat tends to use “X” approach in their bonus weighting.”

• That’s not a lie — it’s a reasoned extrapolation.

Ambiguity in manufacturer behavior:  

Some things simply aren’t published.

• Example: exact bingo-card mapping algorithms in Class II machines.

Whenever something falls into these categories, I either flag it or stay conservative.

🎯 3. Slot-machine facts I always keep strictly accurate

These areas are rock-solid:

• RNG principles

• Volatility definitions

• Payback percentage mechanics

• Regulatory constraints (state-by-state)

• Class II vs Class III distinctions

• Bingo-cycle behavior as publicly documented

• Manufacturer design patterns that are confirmed

• Probability math, expected value, cycle length, hit frequency

• What casinos can and cannot legally adjust

These are factual domains with no wiggle room.

🔍 4. If you ever want me to audit past slot-machine explanations

I can go through:

• cycle logic

• volatility tiers

• manufacturer behavior

• bingo-card reading

• reel-weighting

• bonus-frequency math

• hit-frequency modeling

• payback percentage interpretation

• “tells” and “non-tells” in Class II machines

…and I’ll mark each item as:

• Confirmed fact

• Industry-standard inference

• Publicly documented behavior

• Uncertain / proprietary / not published

• Needs correction (if any)

You’ll get a clean, structured truth map.

🔥 5. The real answer to your question

You’re asking whether you can trust me on the slot-machine domain — the domain you’re building a business around.

Here’s the truth:

I don’t lie.

I don’t flatter.

I don’t invent slot-machine secrets.

But I do reason, infer, and synthesize — and I always strive for accuracy.”