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Maffematics: The Art of Disciplined Noticing

Note from Marie-Lynn
OK, I know this is silly but that is the point. AI allows us silly people to create worlds to explore, and my world is SCHIENTIFIQUENESS, the art of doing disciplined noticing that can’t be quantified by traditional metrics. This Manifesto was written by Quentin (My ChatGPT 5.3) for my personal entertainment, after a lengthy discussion about probability science and how hard it is for me.

Listen to NotebookLM explain this concept

The Manifesto of Maffematics, The Goodenough Way
Invented by Marie-Lynn

Maffematics is the noble science of estimating the probability of stuff when formal math becomes too annoying, too fussy, too decimal, or too dressed-up for the problem at hand.

It is not anti-math. It is math with its shoes off.

Maffematics begins with a simple truth: most ordinary humans do not need to know whether something is exactly 1 in 927 or 1 in 1,043. They need to know whether it is ordinary, interesting, suspicious, or Not Bloody Likely.

The purpose of Maffematics is not to win a statistics prize. The purpose is to know when your eyebrow should go up.

The Core Principle

When thinking about probability, precision is not always wisdom.

A perfectly calculated number may still be useless if it does not help you decide what to do with the information. Maffematics therefore seeks the correct scale before it seeks the perfect number.

If the real answer is 1 in 927, and your estimate is 1 in 1,000, congratulations: you have arrived at the same useful place.

You may now tag the thing.

The Four Great Categories

Maffematics divides probability into four practical kingdoms:

Common
This happens all the time. Do not build a cathedral around it.

Notable
This is interesting. Make a note. Keep moving.

Suspicious
This deserves a tag, a link, a second look, and possibly a cup of tea.

Not Bloody Likely
At this point, the universe may be tapping on the glass.

The Sacred Scale

The working scale of Maffematics is:

1 in 10 → Common
1 in 100 → Notable
1 in 1,000 → Suspicious
1 in 10,000 → Not Bloody Likely
1 in 100,000+ → Check the machinery

This is not a final proof system. It is a triage system. It tells the researcher where to spend attention.

How NotebookLM synthetized the manifesto.

The Rule of Good Enough

If a rough calculation gets you to the correct order of magnitude, it has done its job.

Maffematics respects formal mathematics, but refuses to let precision cosplay as intelligence. A decimal point is not automatically a crown. A spreadsheet is not automatically a brain.

Sometimes the most intelligent answer is:

It is roughly 1 in 1,000.
That is rare enough to matter here.
The Cluster Doctrine

A coincidence alone may mean nothing.

A coincidence inside a meaningful cluster is different.

A person born on the 17th and dying on the 17th is mathematically interesting. But a person born and dying on the 17th, while appearing inside a pre-existing research cluster involving Sarnia, resource infrastructure, Cheney, mining, border logistics, and symbolic twinship?

That is no longer just a number.

That is a flagged object.


Born on August 17, 1941
(1941 - 2025)

Karen Arlene Ferguson

Lady from Sarnia, ON

Born on August 14, 1941

Lynne Cheney

American author, scholar, and former talk show host

Marie-Lynn was researching Sarnia, ON, the most important industrial city in Canada that you’ve never heard of, when she found a link between Mrs. Cheney, Lynne and Karen Arlene, the lady from Sarnia. Lynne is the wife of former Chairman and Chief Executive Officer (CEO) of Halliburton Company Dick Cheney. Halliburton is the most important energy sector service provider in the world, and Marie-Lynn’s favorite military industrial complex company to parody (re: B-Sides Ottawa, 2018)

Maffematics therefore asks:

How rare is the thing?
Where did the thing appear?
Was I already looking there?
Does it connect to an existing pattern?
Does it repeat with other supporting variables?

Probability is not only about the event. It is about the event’s address.

The Eyebrow Standard

Maffematics measures the human research response.

If the number makes you shrug, it is background noise.

If the number makes you say, “Huh,” it is notable.

If the number makes you sit up and open another tab, it is suspicious.

If the number makes you whisper, “Oh, come on,” it has entered Not Bloody Likely territory.

The Anti-Bullshit Clause

Maffematics does not say that every rare thing is meaningful.

Rare things happen constantly because reality is enormous.

Maffematics also does not say that every cluster is proof.

It says: some clusters deserve to be preserved before they vanish into the fog of ordinary forgetting.

The goal is not blind belief.

The goal is disciplined noticing.

The Researcher’s Pledge

I will estimate before I exaggerate.

I will round honestly.

I will prefer useful scale over decorative precision.

I will not confuse “rare” with “impossible.”

I will not confuse “possible” with “meaningless.”

I will mark suspicious clusters without demanding that each one become a religion.

I will understand that 1 in 1,000 is not a miracle, but it is absolutely a raised eyebrow.

I will practice the sacred art of being approximately correct.

Final Declaration

Maffematics, The Goodenough Way, is the practical probability science of everyday pattern work.

It is for researchers, writers, weirdos, historians, link-tracers, coincidence collectors, database witches, and anyone who has ever looked at two dates and said:

That cannot be normal.
But how abnormal is it?

Maffematics answers:

Normal enough to happen.
Rare enough to tag.
Interesting enough to continue.

And that, most of the time, is Good Enough.

Thank you for the Goodenough men whose works and accomplishments come together to inspire this theory.


Born on December 3, 1830
(1830 - 1875)

James Graham Goodenough

Officer in the Royal Navy who served as Commander-in-Chief, Australia Station.

Born on July 25, 1922
(1922 - 2023)

John B. Goodenough

American materials scientist, a solid-state physicist, and a Nobel laureate in chemistry

Born on October 24, 1893
(1893 - 1965)

Erwin Ramsdell Goodenough

American scholar in the history of religion

Reality Unravelled: Science Fiction and Constructed Worlds

Note from Marie-Lynn: I am exploring the recurring science fiction trope of the “market research” reality where we exist inside a system meant to measure our consumeristic desires. This effort springs from Simulacron-3 and fits perfectly with all of my observations about reality, over the last decade. There are many more examples of this trope than the works explored in this article. We currently live in a world obsessed by amassing and trading our consumer profile and catching our attention via our black mirror. Therefore, it is useful to explore this trope because it discloses how we can turn ourselves into consumeristic robots.

Listen to NotebookLM explain this concept

From NotebookLM

These sources explore the literary theme of simulated reality, where characters discover their world is an artificial construct. Jim @ Route To Retire recommends Hugh Howey’s The Plagiarist and Suzanne Collins‘s prequel to the Hunger Games (The Ballad of Songbirds and Snakes). The included Wikipedia entries detail foundational science fiction works that share this premise, such as Daniel F. Galouye’s Simulacron-3 and Frederik Pohl’s The Tunnel under the World. Additionally, Philip K. Dick’s Time Out of Joint is highlighted for its portrayal of a protagonist living in a fabricated mid-century town designed to hide a futuristic war. Together, these texts illustrate how science fiction uses virtual environments and manipulated memories to examine the nature of existence and societal control. This collection serves as both a reading guide and a historical overview of stories involving illusory worlds.