Latest news about Bitcoin and all cryptocurrencies. Your daily crypto news habit.
If you ever sat through an equations-dense class and felt stupid, Iâd like to share a secret with you: the other students are probably faking it. Turns out the human brain canât handle a typical math lesson.
I taught math and statistics for over a decade and today Iâm often asked to speak about technical topics at conferences. Although I come from a field that loves equations, youâll find almost none in my talks. I also avoided them as a statistics lecturer. Hereâs why.
The myth of superhuman working memory
Before heading to grad school in mathematical statistics, I was a PhD student in neuroscience and psychology. I was fortunate enough to get hands-on research experience on the topic of human attention and memory, which brought me to a hilarious realization.
Anyone who claims to be following an equations-based mathematical lecture is probably faking it.
To boil the cognitive science down to a point, anyone who claims to be following an equations-based mathematical lecture is probably faking it. Thereâs one exception: those who have already learned most of the material. Mathematicians are just as human as anyone and their working memory capacity works similarly too. It turns out that standard lectures overload studentsâ working memory by defining too many new symbols and equations for even the brightest students to keep track of whatâs what.
Mathematicians arenât superhuman and they donât have superhuman working memory.
Think youâre special? Read this once, close your eyes, and say it back to me:
AHGJBSKEIFDDRHWSL
Psychologists would suggest that AHGJBSK is about as much as you should expect humans to handle. Every time a speaker adds a new symbol to their talk, the audience has to devote working memory capacity to tracking what it symbolizes and how it fits with the other new stuff. Thatâs the same working memory needed for remembering the previous slide and tracking the logical argument. AHGJBSK highlights just how little capacity there is to go around.
Before presenting equations and jargon, do this
Professors and technical speakers, donât take my word for it, try it yourself:
- Pick an alphabet you wouldnât be able to name characters from. Chinese characters are my favorite choice when I practice. çèœçć·§
- Ask yourself which symbols in your equations or jargon terms in your slides might not be immediately familiar to every human in your audience.
- Replace each one of those with a random letter from the alphabet youâve chosen.
- For best results, have a friend reformat your slides so that things have also moved around a little bit visually.
- Try giving your talk/lesson.
If you stumble, youâd also have lost your audience at this point. If the cognitive load of remembering what all those new symbols mean is too much for you (the expert!) then itâs definitely too much for your poor audience.
Once youâve lost your audience, all they will absorb is summaries and explanations that you give in plain language.
Where math impostor syndrome comes from
Iâve had some professors who didnât even summarize; they just read the textbook and wrote it out on the board. In a class like that, you get three main species of student:
- Daydreamers, who sit through class with eyes glazed over, confident in their ability to go learn it from the textbook later. Class is a waste of time for them, but they attend just in case thereâs an announcement about the exam.
- Fake geniuses, who study and practice before class to become fluent in all the new terms and symbols before attending. Theyâre not learning it all for the first time. They are the ultimate trolls, because they make it look easy and give the professor fake feedback about lesson quality.
- Self-diagnosed impostors, who worry that they canât understand anything because theyâre stupid. They hear the âgeniusesâ asking intelligent questions and take that as proof that they donât belong in this group. Unlike the daydreamers, they assume that they donât understand because of their own ability to learn rather than the teacherâs ability to teach. They are terrified of speaking up in class in case someone finds out they donât belong there.
What a farce! Turns out we donât grow out of this nodding and smiling. Iâve amused myself frequently by asking the smiler next to me at a technical workshop to share what they learned. Typical responses? The first slideâs message / the last slideâs message / something about the point conveyed by the flashiest illustration / âoops, sorry, I was thinking about other things.â
Growing up, I was lucky to be socialized into extreme levels of self-confidence, so I usually inhabited the first two groups. (I can remember two intense classes that made me seriously contemplate the possibility that I might be an idiot, so I know what that feels like too.) Friends with lower self-confidence found themselves in the third group, eventually spiraling down and out of math. Iâve seen those who stayed anyway spend brilliant careers drowning in impostor syndrome.
Boring or difficult?
My parents (physicists, both with PhDs) brought me up to believe math is easy. They treated sentences like âmath is hardâ or âIâm bad at mathâ as ridiculous: math is just like cooking, thereâs no more and no less honor in it. Equations are like recipes, you only need them when youâre actually cooking. Until youâre cooking, you need a conceptual understanding and knowledge of where to find the right cookbook. If youâre not even sure if you want to make the dish, fiddly details about oven temperature are boring and you should be bored. My parents would say things like, âNumbers-worship is silly. I understand math so well I no longer respect it.â Using math was like knowing how to readâââtalking about it as magical or something only for intelligent/talented people would have been laughed right out of my living room.
I understand math so well I no longer respect it.
I grew up with the expectation that I belonged in my math classes and if I was bored, well, that was my teacherâs fault. My parents encouraged me to sneak out of class and go study from my own textbook when that happened. (Of course Iâd come back scary-fluent in next semesterâs symbols and theoremsâ Iâd played with them already. While everyone else spent their time trapped in a bad lesson, I spent my time learning. That meant I would be one of the kids who ruined everyone elseâs day by making it look so darned easy.)
Huxley thinks this textbook is boring. I thought so too, so I bought a different one.
Folks who were brought up on the myth that math is hard (in some sense other than occasionally boring) set themselves up for thinking that their inability to follow the lesson is their own fault. That gears them up for impostor syndrome.
What this means for diversity
Differenceâââdiversity!âââshould be welcomed and celebrated. Unfortunately, this whole setup isnât very welcoming.
Iâll hazard a guess that if you feel different from what you think of as the standard math nerd, youâre more likely to assume that not understanding whatâs going on is your fault, rather than the teacherâs. If you start out feeling like an impostor, youâre less likely to ask your classmates whether theyâre suffering too. Every time one of those âgeniusesâ knocks one out of the park, youâre shrinking deeper into your shell, making it harder for you to come to the correct conclusion: âThese humans are just like me and they probably feel what I feel. If Iâm not following along, everyone else is lost too.â
In that moment when youâre doubting yourself because it feels like youâre the only one who doesnât follow, remember: the others either learned most of it already or theyâre faking it. Youâre not alone, so be kind to yourself.
In the sense that matters for math, youâre the same as everyone else in the room; youâve covered the concepts listed as prerequisites for the class, so you belong in the class. Simple as that.
Let me remind everyone that the skills that make a great mathematician are not the skills that make someone an entertaining presenter or effective teacher. It takes an incredible (not just decent, incredible) teacher to turn their back on generations of âwriting the cookbook out on the blackboardâ as a means of educating the next crop of learners. Most will just do it the way it has always been done.
What does that mean for students?
On behalf of math teachers and professors everywhere: âItâs not you, itâs me.â
If youâre struggling to understand, itâs probably because the teaching quality is poor and/or the speaker doesnât know their audience. Theyâre throwing too many new symbols at you all at once and you canât hope to hold them all in working memory. Be kind to yourself. Youâre not going to follow all of it and thatâs okay.
If the entire session sounds like birdsong to you, thatâs the speakerâs fault, not yours. Asking questions in class doesnât help that much: itâs too little too late. The problem lies not with a factoid or two but with the speakerâs entire teaching philosophy. If youâre brave, talk to them after class about their presentation style. If not, find other resources (YouTube? Books? Tutors? Puzzles? Blogs? Friends?) that teach the same concepts in a different way, then take it at your own pace. Personally, I learn better by going straight to solving problems without even reading the chapter. Instead, I use it as a resource that I can dig into when I (inevitably) get stuck on a problem.
To me, math and programming feel a lot like LEGO. A lesson or textbook chapter gives you some new LEGO pieces, which you add to your bucket and construct a sturdy solution out of your collection. Iâve always found it amazing that someone would want to pay me to play LEGO all day. (Yet they do!)
What does that mean for speakers and teachers?
âThis is how it has always been doneâ is a terrible reason for anything, including the way you choose your communication style.
Instead, know your audience and keep human working memory constraints in mind. If every single human in the room canât look at xÌ without thinking âsample averageâ (a decent assumption if your audience is statistics professors), then go ahead and use xÌ. It saves space and is a powerful symbol⊠for that specific audience. If not, drop xÌ.
Give yourself a budget: no more than 7 new things (symbols, theorems, concepts, equations, etc.) in working memory. If your audience is seeing something for the first time, finish up with it now (and tell your audience when youâre done with it) or pay for it out of the budget. Donât lean on it later unless youâve kept your audienceâs working memory free of clutter.
If youâre honest with yourself, youâll see that very few of the details that look so beautiful to you actually help your audience. Donât waste their time with equations they canât absorb right now. Instead, tell them how to use that equation when theyâre hunched over it with pen and paper. Tell them why they should be excited about it and how it fits into the greater picture. Tell them why it was hard to derive / discover and what the key insight that drove that discovery was. Point your audience to any equations they will need later by indicating the place to look and what they will want to use that equation for. Tell them why they should care.
Itâs just like cooking, after all. You wonât convince your audience to cook mansaf by reading them the recipe, especially if theyâve never heard of it. They donât care how many onions go into it. Your job is to tell them what they wonât learn by reading the recipe themselves. Which one is more useful as an intro to mansaf, the nitty gritty equations or the conceptual overview? You should only cook it in front of your student after youâve convinced them that they want to do it themselves. Get them excited or theyâll think cooking is boring or, worse, that theyâre bad at it.
Where does math impostor syndrome come from? was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
Disclaimer
The views and opinions expressed in this article are solely those of the authors and do not reflect the views of Bitcoin Insider. Every investment and trading move involves risk - this is especially true for cryptocurrencies given their volatility. We strongly advise our readers to conduct their own research when making a decision.