CBC Radio48%

How math and literature are unexpectedly connected 45%

By CBC Radio0%

3/11/2026, 1:41:53 AM

BS Summary: This article contains 28 faulty reasoning types, including Anecdotal, Hasty Generalization, and Ambiguity (Equivocation), with Confirmation Bias as the most egregious example at 15.9% saturation with 198 hits. Analysis detected 1,442 faulty-reasoning hits from 1,247 analyzed words, generating a BS Score of 47.7% and a BS Rank of 45% (11,715 of 21,171 articles). This article is better (less manipulative) than 55.30% of the article peer group.

Mathematician Sarah Hart has always loved to read  and she argues literature and math are fundamentally intertwined. 
She traces the long history of those connections and how they play out in literary works in a conversation with IDEAS host Nahlah Ayed. 
‘The greatest authors often enjoy mathematical patterns themselves,' says author 
LISTEN | Math and literature are fundamentally intertwined : 
Math is everywhere  and if you look closely, it's key to uncovering an enthralling perspective on literature, says mathematician Sarah Hart. 
"The universe is full of underlying structure, pattern, and regularity, and mathematics is the best tool we have for understanding it," writes Hart in her book, Once Upon a Prime: The Wondrous Connections Between Mathematics and Literature. 
"That’s why mathematics is often called the language of the universe, and why it is so vital to science." 
In her book, Hart reveals a long list of literary greats who love mathematics such as James Joyce, Edgar Allan Poe and George Eliot. 
She also points to popular authors today who use math in their work like Chimamanda Ngozi Adichie and Michael Crichton who wrote Jurassic Park. 
"Since we humans are part of the universe, it is only natural that our forms of creative expression, literature among them, will also manifest an inclination for pattern and structure," Hart writes. 
Hart is professor emerita of mathematics at Birkbeck College in London, England. 
She spoke to host Nahlah Ayed about how math is fundamentally creative and has always been deeply intertwined with literature. 
Here is an excerpt from their conversation. 
Why do so many of our most celebrated authors share these twin passions for writing and mathematics? 
Well, for me, it's because mathematics is really a key part of human creativity. 
Our minds, our brains delight in pattern and structure. 
And you see it everywhere in our forms of creative expression, whether that's the rhythms and patterns of music with the beats that we sing along to and count along to unconsciously, or the symmetries and beautiful designs and patterns in art, or in literature those patterns and structures that authors use to give substance and delight to their work. 
Literature and mathematics have these strong connections because mathematics is all about structure and pattern. 
It's the language we use to describe those things. 
So it's not surprising for me that the greatest literature and the greatest authors often enjoy mathematical patterns themselves. 
Geometry has these idealized objects like straight lines that go on forever and circles that are absolutely perfect. 
Now those don't exist in the real world. 
You can't have straight lines. 
[They] do not go on to infinity. 
You can't draw, physically, an absolutely perfect circle. 
They are abstract ideas, fictional things that allow you to get to a deeper truth. 
And for me, literature, a great novel, It's doing the same thing. 
It's almost the same kind of process that mathematics and fiction are doing to explore and understand the world. 
You describe math itself as a form of creative expression. 
What does creativity look like within mathematics? 
Creativity within mathematics, I think, is about choosing the path that you are going to follow. 
Because in mathematics, you can't do anything from nothing. 
You need to have some ground rules. 
So we call these axioms. 
They're kind of the set up, the rules of the game. 
And then you can explore and play within those constraints. 
So to draw a literary analogy, if you're gonna write a poem, you want to know, well, 'What kind of poem shall I write  a sonnet?' 
It gives you a constraint and that spurs your creativity on. 
In mathematics, we have the same kind of playground that we can make. 
If there's too many rules, then it becomes very boring and sterile. 
If there are no rules at all, we can't get anywhere. 
So mathematics is to some extent built upon constraints but it is also routinely moving beyond those constraints. 
You write that literature like maths allows you to 'test the limits of imaginary worlds.' 
What do those imaginary worlds look like to you? 
In mathematics, it might be something like geometry where you find that you're trying to prove things, you know, Pythagoras' theorem, and you come up against a situation where you can't prove the thing that you think might be true... 
And in mathematics, we want to take ideas to their logical conclusions and see what happens. 
Actually, in literature, Lewis Carroll who was a mathematician as well as a writer, this is what he does in his stories. 
So in Alice in Wonderland, he has Alice go to this amazing world where she can grow and shrink by eating and drinking various different things. 
If that were possible, what are the logical consequences of that? 
Lewis Carroll explores these ideas in a very playful way. 
You would be able to swim in a lake of your own tears, and that's exactly what Alice does. 
At the beginning of the story, she grows and shrinks, she grows, she cries, then she shrinks back down, and then she's swimming around. 
This is a logical consequence of the axiom that you can grow and shrink, right? 
So it's a kind of a mathematical way of thinking. 
'Surreal mathematics,' I would call it. 
Lewis Carroll, or Charles Dodson, was someone who absolutely throughout his life, was playful. 
For me, that's the characteristic of good mathematicians as well as often good writers. 
So he's playing in a kind of mathematical way, the ideas that he encounters in this invented world. 
That is part of mathematical thinking, you have to test ideas to their limits. 
You can't just say this seems to work, so I'm just going to assume it always works. 
You have to really stress-test it... and that's what a mathematical proof ultimately is the result of doing. 
In Orwell's 1984, where two plus two equals five... this is perhaps when bad math kind of stands in for truth being stood up on its head. 
It actually tells a whole other story by being inaccurate. 
How often do you see that? 
We all know that some things are universal truths. 
Mathematics does give you a truth, something that you can't propagandize your way around. 
You can't just decide that two plus two is five, because it isn't. 
That's a very powerful thing that we do see in writing  that mathematics is this symbol of truth and sometimes also a symbol of beauty. 
In Moby Dick, Herman Melville's novel, he includes a lot of mathematical ideas. 
But one of the things that Ishmael talks about as the narrator is about how wonderful and amazing the whale is as a creature, and he talks about the symmetry of it being almost like a virtue. 
He sees symmetry as being a proxy for goodness, and this is actually an idea that goes back thousands of years. 
The ancient Greeks, philosophers like Plato, said that symmetry and very symmetrical objects must be at the heart of the universe because they're beautiful, and because they are beautiful therefore they're good, and them being good means the creator will use them. 
They were really interested in things that were very symmetrical because they thought that's what the universe must be made of. 
*Q&A edited for clarity and length. 
This episode was produced by Annie Bender. 
Download the IDEAS podcast to listen to the full conversation. 
Article reasoning-pattern comparisonThis article: 15.9%CBC Radio: 4.0%CBC: 2.6%Confirmation Bias15.9%This article: 0.0%CBC Radio: 0.3%CBC: 0.7%Anchoring Bias0.0%This article: 5.5%CBC Radio: 2.0%CBC: 3.1%Availability Heuristic5.5%This article: 1.9%CBC Radio: 0.7%CBC: 1.1%Representativeness Heuristic1.9%This article: 2.2%CBC Radio: 1.2%CBC: 0.9%Hindsight Bias2.2%This article: 4.1%CBC Radio: 3.0%CBC: 1.4%Overconfidence Bias4.1%This article: 1.3%CBC Radio: 3.2%CBC: 4.2%Framing Effect1.3%This article: 0.0%CBC Radio: 0.1%CBC: 0.6%Loss Aversion0.0%This article: 0.0%CBC Radio: 0.4%CBC: 0.6%Status Quo Bias0.0%This article: 0.0%CBC Radio: 0.1%CBC: 0.2%Sunk Cost Effect0.0%This article: 3.8%CBC Radio: 1.8%CBC: 4.0%Optimism Bias3.8%This article: 0.0%CBC Radio: 0.7%CBC: 1.4%Pessimism Bias0.0%This article: 3.1%CBC Radio: 2.9%CBC: 5.6%Negativity Bias3.1%This article: 0.0%CBC Radio: 1.6%CBC: 1.2%Self-Serving Bias0.0%This article: 0.0%CBC Radio: 0.6%CBC: 0.9%Fundamental Attribution Error0.0%This article: 0.0%CBC Radio: 0.0%CBC: 0.2%Actor-Observer Bias0.0%This article: 0.0%CBC Radio: 0.3%CBC: 1.2%In-Group Bias0.0%This article: 0.0%CBC Radio: 0.5%CBC: 0.3%Out-Group Homogeneity Bias0.0%This article: 3.2%CBC Radio: 1.7%CBC: 3.7%Halo Effect3.2%This article: 0.0%CBC Radio: 0.0%CBC: 0.1%Horn Effect0.0%This article: 0.0%CBC Radio: 0.0%CBC: 0.0%Dunning-Kruger Effect0.0%This article: 1.7%CBC Radio: 0.3%CBC: 1.2%Recency Bias1.7%This article: 0.7%CBC Radio: 0.3%CBC: 0.4%Primacy Effect0.7%This article: 0.0%CBC Radio: 0.2%CBC: 0.0%Blind-Spot Bias0.0%This article: 0.0%CBC Radio: 0.1%CBC: 0.4%Ad Hominem0.0%This article: 0.0%CBC Radio: 0.7%CBC: 0.2%Straw Man0.0%This article: 6.0%CBC Radio: 2.9%CBC: 3.7%Appeal to Authority6.0%This article: 0.9%CBC Radio: 1.3%CBC: 1.3%False Dilemma0.9%This article: 0.0%CBC Radio: 0.2%CBC: 0.4%Slippery Slope0.0%This article: 6.1%CBC Radio: 1.0%CBC: 0.2%Circular Reasoning6.1%This article: 9.1%CBC Radio: 5.0%CBC: 4.9%Hasty Generalization9.1%This article: 0.0%CBC Radio: 0.0%CBC: 0.2%Red Herring0.0%This article: 1.9%CBC Radio: 0.4%CBC: 0.6%Bandwagon1.9%This article: 3.4%CBC Radio: 2.6%CBC: 4.3%Appeal to Emotion3.4%This article: 4.3%CBC Radio: 0.9%CBC: 0.6%Begging the Question4.3%This article: 0.8%CBC Radio: 1.8%CBC: 2.5%Post Hoc (False Cause)0.8%This article: 0.0%CBC Radio: 0.0%CBC: 0.0%Tu Quoque0.0%This article: 0.0%CBC Radio: 0.2%CBC: 0.3%Burden of Proof0.0%This article: 6.7%CBC Radio: 1.0%CBC: 0.3%Appeal to Nature6.7%This article: 2.1%CBC Radio: 0.4%CBC: 0.3%Composition/Division2.1%This article: 14.7%CBC Radio: 3.1%CBC: 3.3%Anecdotal14.7%This article: 0.0%CBC Radio: 0.3%CBC: 0.1%No True Scotsman0.0%This article: 7.1%CBC Radio: 1.6%CBC: 1.6%Ambiguity (Equivocation)7.1%This article: 0.0%CBC Radio: 0.0%CBC: 0.0%Gambler’s Fallacy0.0%This article: 0.0%CBC Radio: 0.1%CBC: 0.1%Middle Ground0.0%This article: 0.0%CBC Radio: 0.6%CBC: 0.1%Personal Incredulity0.0%This article: 0.0%CBC Radio: 0.0%CBC: 0.1%Special Pleading0.0%This article: 0.0%CBC Radio: 0.0%CBC: 0.1%Genetic Fallacy0.0%This article: 0.8%CBC Radio: 1.3%CBC: 1.1%Unattributed Quote0.8%This article: 0.8%CBC Radio: 1.0%CBC: 0.8%Quote-first Misdirection0.8%This article: 4.4%CBC Radio: 2.5%CBC: 4.8%Biased Writer Voice4.4%This article: 1.6%CBC Radio: 1.0%CBC: 2.4%Indoctrination1.6%This article: 0.0%CBC Radio: 0.0%CBC: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%CBC Radio: 0.0%CBC: 0.1%Politically Right Leaning Bias0.0%This article: 1.5%CBC Radio: 1.3%CBC: 1.7%Attempt to Sell a Product or S…1.5%

1247 words analyzed.

Speakers

5speakers89%attributed speech138writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 7 words • 0.0% coverageSarah Hart • 18 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageSarah Hart • 22 words • 0.0% coverageSarah Hart • 37 words • 100.0% coverageSarah Hart • 19 words • 0.0% coverageSarah Hart • 24 words • 0.0% coverageSarah Hart • 24 words • 0.0% coverageSarah Hart • 32 words • 0.0% coverageBirkbeck College • 12 words • 0.0% coverageNahlah Ayed • 20 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageSarah Hart • 14 words • 0.0% coverageSarah Hart • 9 words • 0.0% coverageSarah Hart • 60 words • 0.0% coverageSarah Hart • 15 words • 0.0% coverageSarah Hart • 9 words • 0.0% coverageSarah Hart • 19 words • 0.0% coverageSarah Hart • 18 words • 0.0% coverageSarah Hart • 8 words • 0.0% coverageSarah Hart • 5 words • 0.0% coverageSarah Hart • 7 words • 0.0% coverageSarah Hart • 8 words • 0.0% coverageSarah Hart • 15 words • 0.0% coverageSarah Hart • 12 words • 0.0% coverageSarah Hart • 19 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageSarah Hart • 16 words • 0.0% coverageSarah Hart • 9 words • 0.0% coverageSarah Hart • 7 words • 0.0% coverageSarah Hart • 5 words • 0.0% coverageSarah Hart • 11 words • 0.0% coverageSarah Hart • 10 words • 0.0% coverageSarah Hart • 27 words • 0.0% coverageSarah Hart • 11 words • 0.0% coverageSarah Hart • 13 words • 0.0% coverageSarah Hart • 12 words • 0.0% coverageSarah Hart • 11 words • 0.0% coverageSarah Hart • 18 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageSarah Hart • 40 words • 0.0% coverageSarah Hart • 16 words • 0.0% coverageSarah Hart • 22 words • 0.0% coverageSarah Hart • 26 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageSarah Hart • 10 words • 0.0% coverageSarah Hart • 19 words • 0.0% coverageSarah Hart • 24 words • 0.0% coverageSarah Hart • 15 words • 0.0% coverageSarah Hart • 10 words • 0.0% coverageSarah Hart • 6 words • 0.0% coverageSarah Hart • 14 words • 0.0% coverageSarah Hart • 14 words • 0.0% coverageSarah Hart • 18 words • 0.0% coverageSarah Hart • 14 words • 0.0% coverageSarah Hart • 17 words • 0.0% coverageSarah Hart • 18 words • 0.0% coverageSarah Hart • 27 words • 0.0% coverageSarah Hart • 10 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageSarah Hart • 9 words • 0.0% coverageSarah Hart • 14 words • 0.0% coverageSarah Hart • 13 words • 0.0% coverageSarah Hart • 26 words • 0.0% coverageSarah Hart • 13 words • 0.0% coverageSarah Hart • 37 words • 0.0% coverageSarah Hart • 21 words • 0.0% coverageSarah Hart • 42 words • 0.0% coverageSarah Hart • 21 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageAnnie Bender • 7 words • 0.0% coverageIDEAS • 10 words • 100.0% coverage
Selected voice

Nahlah Ayed

100%flagged-word coverage
20 attributed words1.8% of attributed speech43% writer coverage
0%50.0%100.0%Indoctrination+100.0 ptsWriter: 0.0%Nahlah Ayed: 100.0%100.0%Unattributed Quote-7.2 ptsWriter: 7.2%Nahlah Ayed: 0.0%0.0%Quote-first Misdirection-7.2 ptsWriter: 7.2%Nahlah Ayed: 0.0%0.0%Attempt to Sell a Product -6.5 ptsWriter: 6.5%Nahlah Ayed: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.