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Learning science, without the folklore
Most study advice is vibes. This is what the evidence actually shows — including the parts that cost us a sale, like the fact that Anki is free and excellent, and that if your exam is tomorrow you should absolutely cram.
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You just uploaded your entire degree. Where did it go?
Your lecture notes, your handwriting, your recorded lectures. Four questions worth asking any study tool before you hand it your coursework.
ReadSubjects
Accounting: it looks like memorisation and it's a doing subject
You cannot learn double entry by reading about double entry. Accounting is procedural, and procedures are learned by execution.
Psychology: you're not memorising studies, you're building an argument
Naming a study earns a mark. Using it to support or attack a claim — and knowing its weaknesses — earns the rest.
Language learning: two problems, and only one of them is memory
Vocabulary is pure spaced repetition. Everything else — grammar, listening, speaking — is a skill, and cards will not build it.
Tutorial hell: you can watch a hundred hours and build nothing
Following a tutorial feels like learning and produces almost no ability. The fix is uncomfortable and it is the only thing that works.
Economics: if you can't draw it, you can't argue it
Economics exams reward a diagram, a shift, and a chain of consequences. Memorising definitions gets you into the bottom band and no further.
Reading a case: ninety pages, one sentence that matters
Law students drown in judgments because they read them like books. A judgment has a structure, and only part of it is binding.
History exams don't ask what happened. They ask why, and how you know
Memorising a timeline gets you almost no marks. Argument, causation and evidence do — and they're revised completely differently.
Statistics: everyone can run the test. Almost nobody can choose it
Computing a t-test is trivial. Knowing that it's a t-test you need — and what its assumptions cost you — is the entire subject.
Biology looks like vocabulary and is actually a chain of causes
Biology's volume is real, but most of it is derivable from mechanisms. Learn the chain and the terminology stops being arbitrary.
Physics: if you're reaching for an equation first, you've already lost
Novices search for a formula that matches the numbers. Experts build a physical picture first. That single habit is most of the gap.
Maths is a doing skill, and reading solutions feels exactly like learning
Every step of a maths solution looks obvious while you read it. That feeling is the problem — and it's why so many students are blindsided.
How to study sociology so the theory does work in your essays
Sociology is marked on applying theory to evidence, not on describing theorists. How to read, take notes and write for what's actually assessed.
How to study pathology by following the mechanism to the presentation
Pathology becomes memorisable when each disease is a causal chain from insult to symptom. How to build the chains and drill the discriminations.
How to study philosophy when you can read the text and still have nothing
Philosophy is graded on argument reconstruction and objection, not on knowing positions. How to read, take notes and write for what's marked.
How to study finance when the formulas all look interchangeable
Almost every finance formula is one idea — cash flows moved through time. Learning the idea makes the formula sheet shrink to about six things.
How to study data structures and algorithms without memorising solutions
Memorising 200 solutions doesn't generalise. Learning the dozen patterns and the cost model does. How to build both, for exams and interviews.
How to study thermodynamics when the equations keep giving wrong signs
Most thermodynamics errors are bookkeeping — an undefined system and an unstated sign convention. Fix those and the subject gets much smaller.
How to study neuroscience when the structures won't stay in your head
Neuroanatomy memorised as a list of names doesn't survive. Learn what each structure connects to and what breaks when it's damaged.
How to study immunology when every cell has four names and six jobs
Immunology is a story about timing and communication. Learn the narrative first and the cell surface markers stop being arbitrary noise.
How to study nursing when the exam asks what you'd do first
Nursing exams test judgement, not recall. How to study for 'which patient do you see first', and why content revision alone doesn't get you there.
How to study genetics when the problems don't look like the notes
Genetics exams are mostly problems: pedigrees, crosses, mapping, probability. Knowing the vocabulary doesn't help. Here's what does.
Organic chemistry: memorising reactions is why it feels impossible
Hundreds of reactions, or one idea — electrons move from rich to poor — applied repeatedly. Which subject you're studying is up to you.
How to study linear algebra when the computation makes sense but nothing else does
Row-reducing matrices is easy; knowing what a matrix does is the course. How to build the geometric picture that makes the theorems obvious.
How to study physiology by following the loop instead of the list
Physiology is mostly control systems. Learn the loops — stimulus, sensor, response, feedback — and most of the memorisation becomes reconstruction.
How to study calculus when the lectures make sense and the problems don't
Following a calculus derivation and being able to produce one are different skills. How to build the second, and why watching worked examples fails.
How to study microbiology without drowning in organism lists
Microbiology punishes pure memorisation and rewards discrimination. How to structure organisms, link bugs to drugs, and survive the sheer volume.
Pharmacology: learn the class, and the drugs come mostly free
Hundreds of drugs, each with a mechanism, indications, contraindications and interactions. Learn by class and the volume collapses.
Anatomy is a spatial subject, and you are studying it as a list
Anatomy is learned in three dimensions and revised in two. Image occlusion, drawing from memory, and why word-lists fail you in the exam.
Exams
GRE and GMAT: the first questions matter more than the last
Adaptive tests calibrate on your early answers. That changes pacing strategy, and most candidates spend their time in exactly the wrong place.
Bar prep fails the same way every year: too much reading, too little writing
The bar rewards writing essays and doing MBE questions under time. Most candidates spend the summer reading outlines instead.
NCLEX doesn't ask what you know. It asks what you'd do first
Most NCLEX questions have several correct-looking answers and one best action. That's a prioritisation skill, and it's trained differently.
AP exams: College Board tells you how they mark. Read it
AP free-response questions are marked against published, point-by-point rubrics. Most students never read one — and lose points to formatting, not knowledge.
IB revision: the workload is the exam, and it's a scheduling problem
Six subjects, an Extended Essay, TOK and CAS. The IB's real difficulty is concurrency — here's how to stop everything competing at once.
A-Levels punish coverage and reward depth — most revision does the opposite
GCSE rewarded knowing lots of things. A-Level rewards being able to do something with them. That changes what revision should look like.
GCSE revision: the problem isn't difficulty, it's ten subjects at once
No single GCSE is hard. Ten of them simultaneously is the actual challenge, and it's a scheduling problem before it's a content problem.
Most SAT and ACT points are lost to the clock, not to ignorance
Students revise content and lose marks to pacing. Diagnose which one is actually costing you before you spend a month on the wrong problem.
The LSAT has no content, which is why cramming does nothing
There is nothing to memorise for the LSAT. It tests reasoning skills, which improve only through drilling and rigorous review of every miss.
USMLE Step 1 is pass/fail now. The work didn't get smaller
Step 1 going pass/fail changed what the score buys you, not how much you have to know. What that means for how you should actually study.
Exam anxiety: the two things that reduce it, and the many that don't
Anxiety eats working memory, which is the resource an exam needs most. Preparation and practice under real conditions are the only reliable fixes.
How to prepare for an online exam, where the failure modes are different
Online exams fail on logistics and time management more than on knowledge. What to rehearse, what to set up, and how open-book changes revision.
How to revise for two exams in one week without losing one of them
Two exams close together isn't twice the work — it's a sequencing problem. How to split the week so neither subject collapses at the end.
How to pass an exam tomorrow that you haven't studied for
With one day left, breadth is impossible and technique is free. What to actually do with the hours you have, honestly.
How to prepare for a resit so it isn't a repeat of the first attempt
Repeating the same preparation produces roughly the same mark. How to find out what actually went wrong and build a different attempt.
Exam day checklist: the twenty-four hours that are still under your control
By exam morning your knowledge is fixed, but several marks aren't. What to eat, bring, arrive when, and do in the first two minutes.
How to study for a cumulative final that covers everything
A cumulative final isn't a bigger exam, it's a different one — it tests connections and old material. How to revise for breadth without going shallow.
What to do after a bad exam, especially if there's another one on Thursday
The hours after a bad paper decide the next one. What to do immediately, what to do that evening, and what not to do at all.
How to manage time in an exam so the last question isn't blank
Unfinished papers cost more marks than weak answers. The arithmetic of marks per minute, and the protocol that stops one question eating three.
How to sit a mock exam so the three hours are actually worth it
A mock is a diagnostic, not a rehearsal. How to sit it, how to mark it, and why doing it too late makes the whole exercise pointless.
How to answer an essay exam question when the clock is running
Essay exams reward structure and argument over content volume. How to plan in five minutes, and why the first paragraph decides your band.
Open book exams are harder than closed book, and students find out too late
When everyone has the notes, the notes are worth nothing. Open book exams test application under time pressure — and reward preparation you can't improvise.
How to revise in one week when you've left it late
Seven days is enough to pass and not enough to cover everything. A day-by-day plan built on triage, past papers and deliberate abandonment.
Multiple choice exams reward recognition — so stop practising recognition
The trap of MCQ revision: you study by recognising right answers, which is exactly the skill the exam is designed to make easy.
The MCAT study schedule mistake: months of content review, weeks of practice
Most MCAT plans front-load content review and leave practice to the end. The evidence says invert it — and here's a schedule that does.
Study technique
Chunking: why an expert sees one thing where you see seven
Working memory holds about four items. Experts get around this by making each item bigger. Here's how to build chunks deliberately.
Desirable difficulties: the single idea that explains all the others
Spacing, interleaving, testing, blurting — every technique that works feels harder than the one it replaces. That is not a coincidence.
Elaborative interrogation: the technique that is literally asking why
Asking 'why is this true?' of every fact you meet turns isolated facts into connected ones — and connected facts are retrievable ones.
The generation effect: guessing before you know beats being told
Attempting an answer before you've learned it — and getting it wrong — makes the correct answer stick harder. This is not intuitive, and it's robust.
Mind maps: excellent for one job, and widely used for the wrong one
A mind map is a good way to see how a topic fits together. It is a bad way to memorise the topic — and the distinction is where people lose weeks.
SQ3R: how to read a textbook chapter so that it sticks
Survey, Question, Read, Recite, Review. An old method that survives because it forces you to retrieve before you've finished reading.
Dual coding works. 'I'm a visual learner' does not
Pairing words with images helps almost everyone remember more. But that is not the same as having a learning style — and the difference matters.
Cornell notes: everyone draws the lines and skips the part that works
The famous three-column layout is incidental. The step that makes Cornell notes work is the one almost nobody does — and it takes ten minutes.
The Leitner box: spaced repetition you can do with a shoebox
Five boxes, a stack of index cards, and a rule. The analogue ancestor of every SRS app — and still a genuinely good system if you want no screen.
The memory palace: absurd, ancient, and genuinely effective
The method of loci turns lists you can't remember into places you can walk through. How to build one, and the two rules that decide if it holds.
How to convert a term of notes into something you can revise from
Notes are a record; revision material is a test. The conversion step is where most students lose a term's work — and it takes ten minutes a lecture.
How to work through a textbook chapter so it's actually learned
A repeatable four-pass method for a dense chapter: survey, question, read in sections, and self-test — with realistic timings for each stage.
Highlighting is the most popular study technique and one of the worst
Highlighting feels like studying, produces a beautiful page, and does close to nothing for retention. Here's why — and the two-minute fix.
How to annotate a textbook so the marks are worth returning to
Highlighting marks what looks important; annotation records what you thought. The difference decides whether the book is useful in revision week.
How to study a diagram so you can draw it, not just recognise it
Looking at a diagram builds recognition; exams want reproduction. The redraw protocol that closes the gap, and what to annotate.
How to build a question bank that beats any you can buy
A question bank from your own lectures tests your examiner's syllabus, not a generic version. How to build one that stays useful all year.
How to summarise a chapter so the summary is worth having
Most chapter summaries are transcription with fewer words. What separates a summary that builds memory from one that just takes an afternoon.
How to memorise formulas so they survive exam pressure
Memorising a formula as a string of symbols fails under stress. How to store it as a relationship instead, and derive the ones you shouldn't memorise.
Active reading strategies for text that fights back
Active reading isn't reading harder — it's inserting output steps into the reading. Five strategies matched to what you're reading and why.
How to remember what you read instead of just finishing it
Finishing a chapter and remembering it are unrelated activities. Four interventions that cost minutes and change what survives the week.
How to make a cheat sheet — the making is the revision
A one-page cheat sheet forces the compression that ordinary note-taking avoids. How to build one, and why it works even for closed-book exams.
How to memorise fast — and what "fast" really means
You can't compress memory the way you compress a deadline, but you can stop wasting most of the time you spend. Six methods ranked by minutes-to-retention.
The blurting method: the crudest study technique, and one of the best
Read a topic, close everything, and write down everything you remember. Then mark what you missed in red. That's it — and it beats almost everything.
The Feynman technique: if you can't explain it simply, you don't know it
Explaining a concept in plain language exposes the exact sentence where your understanding stops. Four steps, and the one everyone skips.
Interleaving: why blocking one topic at a time quietly fails you
Studying one topic until you've 'got it' feels efficient and produces worse exam results. Mixing topics feels worse and works better. Here's why.
Active recall: the technique that feels worse and works better
Retrieving an answer from memory beats reviewing it, by a lot. Here's the evidence, and the reason almost nobody does it despite knowing this.
How to take lecture notes: the more you write, the less you learn
Verbatim note-taking captures more words and less meaning. What to do instead — and why recording the lecture resolves the trade-off entirely.
Cramming vs spacing: and the case where cramming is genuinely correct
Spacing beats cramming decisively for anything you need to keep. But if the exam is tomorrow, cram — and here's how to do it least badly.
How to make flashcards that actually work
Most flashcards are bad, and bad cards waste the review time they cost. Seven rules for cards that test one thing and can be answered without guessing.
How to study for finals without spending six weeks re-reading
A week-by-week plan built on diagnosis, retrieval practice and scheduling — so your hours go to the topics you're actually failing.
Systems
The lecture recording is not a safety net. It's a way to never attend
Recordings are genuinely useful and they enable a specific trap: watching everything, at speed, in April, and calling it revision.
A dissertation doesn't fail at the deadline. It fails in month two, silently
Long projects with no interim deadlines fail invisibly and late. The fix is manufacturing the deadlines nobody else will give you.
Group projects fail for one reason, and it isn't laziness
Undefined ownership, not idleness, is what kills group work. Fix the structure in the first meeting and the freeloader problem mostly evaporates.
Nobody chases you any more. That's the whole difference, and it's enormous
School had homework, checks and a teacher who noticed. University has a reading list and silence — and the students who struggle are rarely the weakest.
You don't have three-hour study blocks. Build a system that doesn't need them
Most study advice assumes long uninterrupted evenings. If you work, you have twenty minutes on a break — and that's enough, if the system fits it.
The vocabulary deck that survives is the one you built from what you read
Downloaded frequency decks are abandoned within a fortnight. Sentence mining from your own reading produces a deck you keep.
You're six weeks behind. Do not start at week one
The instinct is to go back to the beginning and do it properly. That's the strategy that guarantees you stay behind forever.
Office hours are empty. You are paying for them
An expert in the subject, contractually obliged to be in a room, waiting. And students avoid it because asking feels like admitting weakness.
The syllabus tells you what you'll be examined on. Almost nobody reads it
The document handed out in week one states the learning outcomes, the weightings and the assessable content. It's a map, and it's ignored.
Building a second brain is a very sophisticated way to avoid using your first one
Note-linking systems are seductive, elaborate, and mostly a substitute for the retrieval practice that would actually have taught you something.
How to run a shared note system that doesn't collapse by week five
Most shared note pools die from free-riding and unverified errors. The rules that keep one alive, and what's genuinely worth sharing.
Study planner or to-do list — and why most students need both
A to-do list holds what's outstanding; a planner decides when it happens. Using only one is why work stays on the list for weeks.
How to finish an online course when nothing forces you to
Online courses fail on structure, not difficulty. What to replace the missing deadlines, cohort and room with so the course survives past week two.
How to track study progress with metrics that can't be gamed
Hours studied and topics covered are both easy to inflate. The metrics worth tracking measure what you can retrieve, not what you sat through.
Nobody reads the whole reading list. Including the person who set it
Reading lists are aspirational. Treating them as a checklist produces guilt, shallow reading, and no time for the items that matter.
A note-taking system for university that survives past October
Most note systems fail because capture and processing get conflated. Separating them is what makes a system work across five modules.
How to set study goals that survive past week two
Outcome goals demotivate and time goals reward sitting still. Why process goals measured in output are the only kind that hold.
How to organise your course files so revision week isn't an archaeology dig
Most student file chaos comes from a folder structure that demands a decision at save time. A naming scheme that needs no decisions at all.
The weekly review: the hour that stops a term quietly collapsing
Terms don't fail suddenly, they drift. A structured weekly hour catches the drift while it's still cheap. Here's the exact checklist.
How to build a study system that survives a bad week
Motivation-based studying fails the first time life interferes. What a real system looks like: capture, process, review, and one weekly hour that repairs it.
Every semester has one terrible week. Find it in week one
Deadlines don't arrive evenly. Map them on day one and the collision becomes a scheduling problem instead of a crisis.
The best note system is the one you can still be bothered with in week nine
Elaborate organisation systems collapse under coursework. One folder per module, everything in it, searchable — and no more than that.
Focus
Your study habit died because you set the bar at your best day
Habits are built by never breaking the chain, which means the daily minimum has to survive illness, deadlines and a hangover.
Flow has entry conditions, and you are probably violating all of them
Flow isn't mystical. It has known preconditions — a clear goal, immediate feedback, and difficulty matched to skill. Most studying has none.
The break that feels best is the one that restores you least
Attention recovers during boredom, not stimulation. Which is why a five-minute scroll leaves you less able to return to the work.
The hour you spend exercising is not an hour lost from studying
Exercise improves attention, mood and sleep — the three inputs studying runs on. It's the least intuitive time investment there is.
Caffeine works. Most students take it at exactly the wrong times
It genuinely improves alertness and vigilance. It also has a half-life of five hours, which is why your sleep is bad and your tolerance is high.
Where you study matters, and not for the reason you think
The library doesn't contain focus. What it contains is other people working, no bed, and no fridge — which turns out to be most of it.
Burnout isn't exhaustion. It's exhaustion plus not caring any more
A weekend off fixes tiredness. It does not fix burnout, because burnout has two other components — and one of them is cynicism.
Nine fragmented hours are worth less than three unbroken ones
Context switching has a cost you don't feel. Most students study for a long time and concentrate for very little of it.
A silent phone on the desk still costs you. Its presence is the problem
The cost isn't interruption — it's the attention spent not looking at it. Distance, not discipline, is the fix.
Don't pull an all-nighter. And if you're going to anyway, do it like this
Telling you not to won't stop you. So: the least damaging way to do it, and the one thing that makes it clearly worse.
Digital minimalism for students, applied to the tools you actually study with
Every app you add costs maintenance and a decision. How to reduce your study stack to the few tools that do work, and keep it there.
How to structure a long study day so hour eight is worth something
Long study days fail in the second half, not the first. How to sequence tasks, place breaks and know when the remaining hours are worthless.
How to study a subject you hate without waiting to enjoy it
Interest is an output of competence, not a prerequisite for it. How to get through a compulsory module you resent without losing the whole term to it.
How to stay consistent with studying once the initial motivation is gone
Consistency fails at predictable points, not randomly. The fixes are structural: smaller minimums, fixed slots, and a rule for restarting.
How to study when you're overwhelmed and everything feels urgent
Overwhelm is usually a planning failure rather than a character one. How to shrink an impossible workload into something you can start on tonight.
How to wake up early to study — and whether it's worth it for you
Early mornings work because nothing interrupts them, not because mornings are magic. How to shift your clock, and when not to bother.
You do not consolidate memory while awake. That's the whole problem
Sleep is when the day's learning is stabilised. Cutting it to study more is trading the encoding for the input — a bad deal.
How to stop multitasking while studying, when you can't just try harder
Task switching costs far more than the seconds it takes. Why studying with a second tab open halves your effective hours, and what actually fixes it.
How to study in a noisy house when leaving isn't an option
Not all noise is equally disruptive — speech is the problem, not volume. What to mask, what to schedule around, and what to change instead.
How to start studying again after you've stopped for weeks
The hardest session is the first one back, and it fails for a predictable reason. How to make restarting cheap instead of heroic.
How to study with ADHD when the standard advice doesn't apply
Most study advice assumes intact task initiation and working memory. What to do instead: externalise everything, shorten the loop, use urgency deliberately.
How to study at night without wrecking the next day
Night studying isn't inherently worse — it's worse when it eats sleep and light. How to make the late session work and what it costs you if it doesn't.
How to study when you're too tired to study
Tired studying isn't worthless — it's just good for different work. Which tasks survive exhaustion, which don't, and how to stop wasting the hour you have left.
Motivation follows action. Waiting for it is how you lose the term
You are waiting to feel like studying before you study. That's backwards — and it's why the feeling never arrives.
You don't procrastinate because you're lazy. You procrastinate because it hurts
Procrastination is an emotional regulation problem, not a time management one. Which is why every time management fix has failed you.
The Pomodoro technique, and the case for ignoring it
Why timeboxing beats willpower, why 25 minutes is arbitrary, and when a rigid timer is actively harmful to the thing you're trying to do.
Does music help you study? Mostly no — with one useful exception
Lyrics hurt reading and writing. Background sound helps mainly by masking intermittent noise. Here's how to use sound deliberately instead of by habit.
AI and learning
If AI knows everything, why learn anything? The answer isn't nostalgia
The honest case for still filling your head with facts, in a world where any fact is one query away — and it isn't about exams.
Where AI study tools help most: the barriers that aren't about ability
For many students the obstacle isn't understanding — it's the reading load, the executive function, the blank page. AI removes some of that fairly.
Every AI study app claims the same things. Here's how to test them
The category has converged on an identical feature list, which makes feature tables useless. Two tests separate the real ones.
AI lecture transcription: very good, and it will fail you specifically
Transcription is excellent on clear audio and degrades exactly where your lecture is hardest — technical terms, accents, and bad rooms.
AI doesn't make you a worse thinker. Outsourcing the struggle does
The danger isn't the technology. It's that the specific mental work AI removes is the work that was doing the teaching.
NotebookLM is excellent, free, and only solves half the problem
It grounds answers in your sources and cites them, which is the right idea. It has no testing and no scheduling — and that's where grades come from.
A wrong AI flashcard is worse than no flashcard at all
Spaced repetition is a machine for making things permanent. It does not care whether the card is true — and that changes the stakes entirely.
An AI tutor is available at 2am. A human tutor can tell you're lying
They're not competitors. One is infinitely patient and infinitely available; the other notices what you're avoiding. Use both accordingly.
The fabricated citation: AI's most detectable and most expensive error
Models produce references with the right shape and no existence. Markers check. Lawyers have been sanctioned. Here's why it happens.
Most 'study prompts' produce a summary you won't remember
The best AI study prompts make you produce something. The popular ones make the AI produce something — which is why they don't work.
How to catch an AI mistake before it ends up in your exam answer
Models are wrong most confidently on exactly what you can't yet check. A verification routine that costs seconds and catches the errors that matter.
When the AI and your lecturer disagree, which one do you write down?
A model gives you the field's general answer. Your lecturer sets the one that gets marked. How to tell a real conflict from a difference in convention.
What grounded AI actually means, and why it changes what you can trust
Grounded means the answer comes from documents you supplied, not from training data. What that fixes, what it doesn't, and how to test it.
AI flashcards vs making your own: what you lose by not writing them
Writing cards is itself learning, which is the real argument against generating them. Where that argument holds, and where it quietly doesn't.
How to use AI to mark your own work without deceiving yourself
AI marking is generous by default and vague without a rubric. How to get feedback that finds real problems rather than confirming your answer.
How to turn a YouTube lecture into notes you can revise from
Watching a video is the lowest-yield studying there is. How to convert one into notes and questions in a fraction of the runtime.
RAG, explained: why 'AI that reads your notes' is a different machine
Retrieval-augmented generation is why some AI tools can cite a page and others just sound confident. Here's what actually happens.
Free vs paid AI study tools: what the money actually buys
Most of what free tools do is genuinely enough. Here's the short list of things that aren't free, and how to tell if you need them.
Can AI summarise a textbook — and should you study from the summary?
AI summarises accurately and compresses away exactly what exams test. Where summaries genuinely help, and the step that makes them safe to use.
How to prompt AI for practice questions worth answering
Ask for ten questions and you'll get ten definitions. The prompt details that produce exam-shaped questions instead — and how to check them.
How to turn lecture slides into notes you can actually revise from
Slides are prompts for a talk you've forgotten, not notes. How to reconstruct the missing explanation and turn a deck into revisable material.
Why an AI study tool without citations is unusable for coursework
A confident wrong answer costs more than no answer. What real citation looks like in a study tool, and how to test whether a tool has it.
How to turn a PDF into flashcards you'll actually review
Generating 300 cards from a PDF takes a minute. Getting 60 cards worth reviewing takes ten more. Here's the filter that separates them.
AI detectors don't work, and it's students who get hurt by that
Detectors produce false positives on innocent writing, especially from non-native speakers. Being wrongly accused is the real risk here.
Is using AI cheating? The line is clearer than people pretend
Not a disclaimer. A usable test for where the line sits, why institutions draw it there, and what actually happens when you cross it.
Why AI hallucinates, and why students are the worst possible victims
A confident wrong answer is bad for everyone. For someone studying a subject they don't yet know, it's uniquely dangerous — and spaced repetition makes it permanent.
Learning science
Rereading vs retrieval practice: the comparison that changes everything
Rereading produces higher confidence and lower recall. Retrieval produces the opposite. Why students consistently pick the method that loses.
FSRS vs SM-2: why the algorithm most apps still use is wrong
SM-2 has scheduled flashcards since 1987. FSRS models memory with three variables and a power-law curve, and needs meaningfully fewer reviews for the same retention.
Spaced repetition, explained properly — and why most apps fake it
How spacing actually works, why the forgetting curve matters, and how to tell a real spaced repetition scheduler from a fixed reminder ladder wearing its name.