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Where stories of invention, courage, and lineage unfold.

10 MORE Sets of People Who Look The Same!

Born within 3 days in 1938


Born on February 21, 1938

Arthur MacArthur IV

Is the only child of General of the Army Douglas MacArthur and Jean MacArthur

Born on February 24, 1938

Phil Knight

Co-founder and chairman emeritus of Nike, Inc., a global sports equipment and apparel company

Born within 24 hours in 1957


Born on May 13, 1957

Eloïse Broady

American model, actress, producer, businesswoman and philanthropist

Born on May 14, 1957

Susie Wiles

American political consultant who served as co-chair of Donald Trump's successful 2024 presidential campaign

A Face That Echoes Through The Years...


Born on April 30, 1812
(1812 - 1830)

Kaspar Hauser

German youth who claimed to have grown up in the total isolation of a darkened cell. Hauser's claims, and his subsequent death by stabbing, sparked much debate and controversy.

Born on April 30, 1965

Adrian Pasdar

American actor who played Jim Profit (1996), a corporate sociopath raised in a cardboard box

Born within 24 hours in 1956


Born on May 13, 1956

David Hollestelle

Dutch rock guitarist (Herman Brood & His Wild Romance)

Born on May 14, 1956

Steve Hogarth

Kendal England vocals (Marillion-Clutching at Straws)

A Face That Echoes Through The Years...


Born on October 15, 1893
(1893 - 1985)

Ina Claire

American stage and film actress

Born on September 4, 1986

Charlotte Le Bon

Canadian actress and director based in Paris

A Face That Echoes Through The Years...


Born on April 22, 1844

Lewis Powell

American Confederate soldier who attempted to assassinate William Henry Seward as part of the Lincoln assassination plot

Born on May 5, 1873
(1873 - 1901)

Leon Czolgosz

American laborer and anarchist who assassinated president William McKinley on September 6, 1901, in Buffalo, New York

Born within 96 days in 1989


Born on September 8, 1989
(1989 - 2018)

Avicii

Swedish DJ, remixer, and record producer

Born on December 13, 1989

Taylor Alison Swift

American singer-songwriter

Died on the same date, 59 apart.


Born on May 29, 1951
(1951 - 2009)

Beverly Eckert

American activist and advocate for the creation of the 9/11 Commission

Born on October 29, 1891
(1891 - 1951)

Fanny Brice

American comedian, illustrated song model, singer, and actress who made many stage, radio, and film appearances

Born within 2 days in 1943


Born on February 7, 1943

Eric Foner

American historian

Born on February 5, 1943

Nolan Bushnell

American businessman and electrical engineer. He established Atari, Inc. and the Chuck E. Cheese's Pizza Time Theatre chain

Born on the same day in 1857!


Born on December 3, 1857

Karl Koller

Austrian ophthalmologist who invented local anesthesia and a colleague of Sigmund Freud.

Born on December 3, 1857

Joseph Conrad

One of the greatest novelists to write in the English language

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