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What Is Truth? Your Smoke Alarm Can Say "Yes." It Can Never Say "Never."

Jonathan Washburn · 2 November 2026 · 27-minute read

Your smoke alarm has been silent for 1,000 days.

Does that prove your house will never have smoke in it?

No. Day 1,001 can bring the beep. A thousand silent days leave "never" exactly where it started: unproved.

Now watch what one beep does. The moment the alarm goes off, "there is smoke" is proved. No second opinion, no waiting for more data. (Say it's a perfect alarm that beeps exactly when there's smoke. Real ones also go off at shower steam.)

day 1 silent day 2 silent day 3 silent day 1,000 silent day 1,001 BEEP ... 1,000 silent days it beeps on some day one beep proves it, for good it never beeps one beep breaks it, silence never proves it

So your alarm has an odd power. It can prove "there was smoke." It can't prove "there will never be smoke." The same beep that proves the first claim breaks the second, and no run of silence proves it.

That isn't a quirk of smoke alarms. The alarm is a plain case of a result that holds for anything you examine again and again: a detector, a gauge, an experiment you repeat. And the result answers two huge questions at once. What is truth? How can anyone know anything at all?

The short answer

Truth is what holds in reality's record, and knowing a truth is one more event in that record: telling two things apart. Reality keeps a permanent record of every event, because the basic laws of physics never destroy information and the record only grows. Nothing in it is ever erased, and the past still exists. Step 1 gives the reasons in full.

Knowing has an exact shape, and the shape is proved. Take any system you examine again and again. A finite stretch of its readings can do exactly three things:

  • Confirm the claims one moment can show: "it happened."
  • Refute the claims one moment can break: "it never happens," "it always holds."
  • Settle the claims whose answer, yes or no, always shows up at some moment.

Nothing else is in reach. In particular, no measurement ever confirms an exact value, so an exact value can't come from the readings.

Truth also comes with a price list. A truth that needs no added principle sits at the bottom. Every other truth holds given a principle you can name, and "every statement is either true or false" is the most expensive on the list. And a rulebook that checks its claims by rules and contains arithmetic can't prove itself consistent if it is consistent, so trust in it comes from a level above.

Why this matters: two tempting answers to "how can we know anything?" are both wrong. "Nobody can know anything for sure" is wrong, because a finite stretch of readings settles some claims outright and for good, confirms others the moment they happen, and gives every law a verdict at every precision. "Enough data proves anything" is wrong too, because no run of data confirms a "never" or an exact number. The exact list tells you what a test can do for the claim in front of you.

Here's the whole answer in six steps. The rest of this post takes them one at a time and shows how we know each one.

  1. Truth is what holds in the record, and a look is an event in it. To know a claim is to look at the record, and the look is one more entry.
  2. A finite stretch of readings confirms, refutes and settles exactly three kinds of claim. Two questions block the rest.
  3. Settling costs at most a wait, when the settling is proved without "every statement is either true or false." A verdict you can revise reaches further, and it has a limit too.
  4. No measurement confirms an exact value. Every law still gets a verdict at every precision.
  5. Truth has grades by price. A blank receipt needs no added principle. Every other truth costs a principle with a name.
  6. No consistent rulebook of this kind vouches for itself. Trust in it comes from a level above.

Here's the route. I'll stop after each step to zoom out, so you always know where we are and why the next step comes next.

Step 1: Truth is what holds in the record

A claim is true when it holds in reality's record. To know it is to look at the record, and a look is one more event in it.

Here's how we know, starting with what you're doing right now.

The smallest event is one thing told apart from another. Reading this tells one letter from another. Every perception and every measurement tells one thing from another, and the least information that takes is one yes or no. Asking "can I know anything at all?" already uses it: to ask, you have to tell the question from its opposite. So one thing is known before any doubt starts. Things can be told apart.

Two more facts hold in the same act. Comparing two things needs information about both: you can't say "colder" without a note of the earlier sip. And looking at a record is a new event. Footage recorded through noon can't contain the event of someone watching it at one o'clock. It can show a sign that says "this tape will be reviewed," but the sign and the review are different events, and the review comes later.1 Each of the three holds in the very act of asking whether it holds, so there's no place to stand outside it and doubt it. Turtles All the Way Down? works this out in full.

Reality keeps a permanent record of every event. Every event leaves a complete trace and none is ever erased, so the full record of what happened is part of reality now. The past still exists.

Physics gives a reason: the basic laws never destroy information. In quantum mechanics this is unitarity: the present fixes the past exactly, and running the laws backward recovers every earlier state. It's why physicists treat the black hole information problem as a real problem: losing information would break the laws.2

The record has a reason of its own: it only grows. Each new entry is added with every earlier entry kept, and writing a new entry never alters an earlier one.3 That's separate from what an entry is: each entry is a comparison, and a comparison needs information about both sides.

One step here isn't derived yet: that physical change is this record being written. It's the premise our answers stand on. What's proved is the record's own property, that it keeps every entry.

What a look does. To know that the alarm beeped on day 1,001 is to tell that day from a silent one. That's one distinction, and it goes into the record as one entry. A look at the record is an event like any other, so it adds something the record didn't hold. Can We Ever Know Everything? works that out in its first two steps, and this post starts where that one leaves off.

What's true. A claim about one entry is true when that entry reads that way: "the alarm beeped on day 1,001" is true because the record holds that entry. A claim about every entry, like "the alarm never beeps," reaches past every entry written so far: one entry can break it, and no stretch of entries shows it.

So here's the question that decides how much can be known, and it has an exact answer: what can a finite stretch of readings show about a claim that reaches past it?

Zoom out. Step 1 is done. Truth belongs to the record, and knowing is a look at it. Next, and why: a "never" claim reaches past any look, and any look covers a finite stretch. What can a finite stretch do?

Step 2: A finite stretch of readings confirms, refutes and settles exactly three kinds of claim

Some claims one moment can show. Some claims one moment can break. Some claims both. Those are exactly the claims a finite stretch of readings can confirm, refute and settle, and nothing else is in reach.

Here's how we know, with the alarm and a few words defined.

Check the alarm's log once a day, again and again: beep or silent. The log's readings, day after day, are a run. The first n readings are a stretch of it, a finite part of reality's record. A rule reads a stretch and answers "yes," "no," or "read on." It can be any rule at all, as clever and as fast as you like. This is about information, not machines: no device is described and no deadline is promised.

A rule confirms a claim when it answers "yes" on exactly the runs where the claim is true. It refutes a claim when it answers "no" on exactly the runs where the claim is false. It settles a claim when it does both, so every run gets a right answer, yes or no.

Three claims about the alarm show all three:

  • "The alarm beeps on some day." One beep confirms it. No stretch of silence refutes it, because the next day can beep.
  • "The alarm never beeps." One beep refutes it. No stretch of silence confirms it.
  • "The alarm beeps in the first week." After seven days you know, yes or no. Settled.
CONFIRM one moment can show it REFUTE one moment can break it it beeps on some day it never beeps it beeps in the first week SETTLE: both at once outside both circles: "it beeps exactly once, ever"

Some claims sit outside both circles. Take "the alarm beeps exactly once, ever." It's two halves stuck together. "At least once" can be confirmed and "at most once" can be refuted, but the whole can be neither: a stretch with one beep can still be followed by a second, and a silent stretch can still be followed by a lone beep.

Why exactly these three? A rule answers "yes" after looking at some finite stretch, and every run that begins with that stretch gets the same "yes." So a claim can be confirmed only if, on every run where it's true, some finite stretch already guarantees it. That's what "at some moment, X shows" means. And any claim of that kind is confirmed by the rule that says "yes" at the first stretch that guarantees it. Refuting is the mirror image: one moment where X fails breaks a claim of the form "at every moment, X holds," and only such claims. A claim with both forms is settled.

This holds for every system and every claim. It's Theorem 17.13 of the institute's book The δ Foundation,4 and it's the characterization found in formal learning theory (Kevin Kelly, The Logic of Reliable Inquiry, 1996). The book proves it again for its own records and adds the prices in the steps below.

For yes-or-no readings, with every run possible, the settled claims have a simple shape. A claim is settled exactly when some length N, fixed in advance, decides it: any two runs that agree on their first N readings get the same answer. "The alarm beeps in the first week" is one, with N = 7.

What blocks settling. Two questions, and only two. The zero test asks whether a run is silent forever. The search asks whether a run has a beep somewhere. Every claim that no stretch can confirm has the zero test hidden inside it, and every claim that no stretch can refute has the search hidden inside it. Here's how to see it for "the alarm beeps exactly once."

Take any run and build a new alarm from it, so that each day of the new alarm depends on only finitely many days of the run. First way: the new alarm beeps on day 1, and again one day after the run's first beep, if the run has one. It beeps exactly once precisely when the run is silent forever. So a rule that confirmed "exactly once" would confirm "silent forever," and no stretch can do that. Second way: the new alarm beeps only on the day of the run's first beep. It beeps exactly once precisely when the run has a beep somewhere. So a rule that refuted "exactly once" would refute "there's a beep somewhere," and no stretch can do that either.

The exact statement: a claim is settled exactly when neither question is hidden inside it. These are the two names from Is Math Invented or Discovered?, where each is a price a proof has to pay.

Zoom out. Step 2 is done. A finite stretch confirms what one moment can show, refutes what one moment can break, and settles what both can. Next, and why: some settled claims still can't be settled quickly. What does settling cost?

Step 3: What settling costs, and how far a revisable verdict reaches

When a rule is proved to settle a claim without "every statement is either true or false," deciding the claim costs at most waiting. For some claims the waiting has no deadline fixed in advance, but it never takes more information than the record holds. A verdict you can revise reaches claims no stretch ever settles, and it has a limit too.

Here's how we know. In the institute's book the cost of an answer is the principle you have to accept to reach it, and the principle's name is its price. Step 5 lists them all.

Promise that the alarm will beep at least once, but not when. Now take the claim "the first beep falls on an even-numbered day."

A rule settles it: read on until the first beep, then answer by the day's number, even yes, odd no. It's right on every run the promise allows. But it has no deadline. Say some rule promises to answer by day 1,000 at the latest. House A has its first beep on day 1,001, and House B has its first on day 1,002. For the first 1,000 days the two houses are identical, so the rule sees the same stretch and gives the same answer. But the claim is false in A (1,001 is odd) and true in B. The same trick beats any deadline you name.

a rule that answers by day 1,000 stops here house A 1,000 silent days day 1,001 BEEP day 1,002 silent first beep: day 1,001 (odd). Claim: false. house B 1,000 silent days day 1,001 silent day 1,002 BEEP first beep: day 1,002 (even). Claim: true. same silence, different answers: no deadline works

So the information is all in the record. What can't be known in advance is how long it takes to arrive.

This cost is exact. Call it the wait: the guarantee that a search which can't fail succeeds. For the alarm: if it's impossible that no beep ever comes, then a beep comes, and a search finds it.

Here's the exact result. Suppose someone proves, without "every statement is either true or false," that a rule settles a claim. On any run the rule must answer at some stretch, or the claim would be neither true nor false there. The wait turns that into "the rule does answer at some stretch," a search finds the stretch, and the answer decides the claim. So the wait is enough to decide the claim on every run. And one settled claim costs exactly the wait: the even-day claim above. Not every settled claim costs that much. A claim decided outright, like "the first reading is a beep," costs nothing.5

Waiting can pay for the wait, and for none of the other prices. No rule settles the zero test or the search, and answering either one for every run costs its own price. A third question defeats every rule too, the fork. Promise the alarm beeps at most once, ever. Ask a rule to call every such alarm, either "no beep falls on an even day" or "no beep falls on an odd day," and to be right every time. On a silent alarm both calls are right, but the rule must commit by some day n. Put the lone beep just past day n, on the side it ruled out. The stretch is the same, so the call is the same, and now it's wrong.

Now let the experiment change its mind. After every reading it posts a verdict, and it's allowed to flip it later. It decides in the limit when its verdicts end on the right answer and stay there, on every run. It confirms in the limit when its verdicts end on "yes" and stay there exactly on the runs where the claim is true.6

Take "the alarm beeps on some day," which no stretch settles. Use this rule: say "no" until a beep, then say "yes" forever. If a beep ever comes, the verdicts end on "yes." If none ever does, they stay on "no." You're always right in the end. What you can't do is tell, on any day, whether the end has come: the "no" on day 1,000 isn't final.

Revising reaches exactly this far. An experiment that's allowed to revise can confirm in the limit exactly the claims of the form "for some m, Xm always holds," like "for some day m, no beep comes after day m." It can decide in the limit exactly the claims where both the claim and its opposite have that form. Every settled claim is decided in the limit, and "the alarm beeps on some day" shows the reverse fails.

And it stops. Take "the beeping dies out," the claim just quoted. A revising experiment confirms it in the limit: say "yes" if today was silent and "no" if it beeped. If the beeping dies out, the verdicts end on "yes" for good. If it never dies out, the verdicts never end on "yes," but they can flip forever instead of ending on "no."

= a day the alarm beeped is there a beep somewhere? rule: say no until a beep, then yes forever an alarm that beeps on day 7 no no no no no no yes yes yes ... an alarm that never beeps no no no no no no no no no ... right in the end, both times. but on day 6 you can't tell if the no is final. does the beeping die out? rule: yes if today was silent, no if it beeped an alarm that beeps on days 2 and 5, then stops yes no yes yes no yes yes yes yes ... an alarm that beeps every third day yes yes no yes yes no yes yes no ... first alarm: ends on yes for good. second: flips forever.

No rule does better. Here's the trick that beats every one. Keep the alarm silent until the rule says "yes, it dies out." Then let it beep once, and go silent again until the rule says "yes" again. Keep going. The alarm now beeps forever, so a rule that decides in the limit has to end on "no." But the rule said "yes" over and over along the way, so its verdicts never end on "no." The same holds for "this orbit stays bounded," when an orbit is read as a stream of recorded positions that can be any stream of whole numbers. That reading is a modelling assumption the proof takes as given.

Zoom out. Step 3 is done. Settling, proved without "true or false," costs at most a wait, and for some claims the wait has no deadline fixed in advance. A verdict you can revise reaches further, and it also stops. Next, and why: all of this is about yes-or-no claims. What about a number, like a weight?

Step 4: No measurement confirms an exact value

A measurement can refute "the value is exactly c." It can never confirm it.

Here's how we know, with a gold bar. The seller swears it weighs exactly 1,000 grams. You weigh it again and again. Each reading is twice as sharp as the one before: the 1st is good to within half a kilogram, the 2nd within a quarter, and the n-th within 1/2n kilogram. That's the measurement model: a value reaches us as readings with margins that keep shrinking. Two things in this step are named identifications that the proofs take as given, not derived results: that a measurement reaches us this way, and that a physical quantity is a point on the number line.7

Suppose the bar secretly weighs 1,001 g. Some of your readings:

Reading Good to within Says The bar is between Is exactly 1,000 g still possible?
4th 62.5 g 1,030 g 967.5 g and 1,092.5 g yes
6th 15.6 g 1,010 g 994.4 g and 1,025.6 g yes
8th 3.9 g 998 g 994.1 g and 1,001.9 g yes
10th 0.98 g 1,001.4 g 1,000.4 g and 1,002.4 g no
12th 0.24 g 1,001.1 g 1,000.9 g and 1,001.3 g no

Each reading leaves a window of weights that fit it, and a bar fits the readings only if it sits in every window. The 10th reading catches the seller. It says 1,001.4 g and is good to within 0.98 g, so no bar of exactly 1,000 g can give it, and none can give the readings after it.

Now the honest seller, whose bar weighs exactly 1,000 g. Say your scale reads 1,000 g every time. No reading ever refutes that. Does that prove it? No. After the 12th reading, a bar of 1,000.2 g still fits all of them. After the 20th, a bar of 1,000.0005 g does. However many readings you take, a bar a hair heavier still fits all of them, and the hair shrinks without ever reaching zero. The honest seller is never caught. He's never cleared either.

the bar is really 1,001 g the readings from the table 1,000 g 8th reading within 3.9 g 10th reading within 0.98 g 12th reading within 0.24 g 994 996 998 1,000 1,002 1,004 1,006 grams 1,000 g still fits 1,000 g is out and stays out the bar is exactly 1,000 g and the scale reads 1,000 g every time 1,000 g 8th reading within 3.9 g 10th reading within 0.98 g 12th reading within 0.24 g 994 996 998 1,000 1,002 1,004 1,006 grams 1,000.2 g fits every window possible is not proved: a rival a hair away always fits

Here's the exact statement. A record of readings fits exactly the values inside all of its windows, and if 1,000 g fits, so does every weight in some small stretch around it. So for any number c, "the value is exactly c" is refutable, never confirmable, and never settled. It's the zero test again, in a number's clothes. Build a number from a run of beeps: it's exactly zero when the run is silent forever, and only then, as Is Math Invented or Discovered? showed.

A derived number gets the same treatment. Take the golden ratio, φ = 1.618..., the positive solution of x × x = x + 1. Any readings that fit φ also fit φ + 1/φK for every large enough K (how large depends on how many readings): a different number for each K, and every one different from φ. Agreement between readings and a derived value never separates it from its neighbors. A measurement can refute the claim that a quantity equals a derived value. It can't confirm it. That holds for every derived number, ours included. The result is about numbers and readings. It doesn't say any quantity in nature equals φ.

Where does an exact value come from? Not from a record. It comes from a derivation: φ comes from an equation, with no measurement anywhere in it. The exact numbers in our units come the same way, derived from definitions. The speed of light is exactly 299,792,458 metres per second because the metre is defined from it, and since 2019 the kilogram has been defined by fixing Planck's constant at exactly 6.62607015 × 10-34 joule-seconds.8 Those numbers follow from how the units are defined, not from a measurement that came out exact.

Every law still gets a verdict at every precision. A law is built from equations, "at most" and "less than," joined by "and" and "or." "The bar is exactly 1,000 g" is the simplest. Pick a tolerance, say one gram. A test at that tolerance always has an outcome: the law passes (the bar is within a gram of 1,000), or it's refuted (the readings show a difference, with room to spare). At least one of the two always happens, for any law built this way, and it takes no extra principle.9

A law made only of equations and "at most," joined by "and," holds exactly when it passes at every tolerance. That makes it a never-claim: one failed test refutes it, and no run of passed tests confirms it. A strict law, made of "less than," holds exactly when one finite test shows it. So an experiment gives the verdict at a tolerance, refutes an equation or an "at most" law when it's false, and confirms a strict inequality when it's true. It never confirms an equation exactly.

What costs is exactness. Deciding for every pair of numbers whether x = y costs the zero test. Deciding whether x < y costs the search. Turning "not exactly equal" into a visible difference costs the wait. And "of two numbers, one is at most the other" passes every test at every precision, yet asserting it for every pair of numbers is exactly as strong as the fork.

Zoom out. Step 4 is done. A reading can break an exact value and never prove it, so an exact value comes from a derivation, never a record. Every law still gets a verdict at every precision. Next, and why: "costs" has come up four times now: the zero test, the search, the wait, the fork. What is the whole price list?

Step 5: Truth has grades by price

The best truth needs no added principle. Every other truth holds given a principle you can name, and "every statement is either true or false" is the most expensive principle there is.

Here's how we know, starting with one "never" that is known for sure: no count is one more than itself. That claim is about every count, so checking cases one by one can never confirm it. It's derived instead, from the rules of counting in Is Math Invented or Discovered?. The start isn't one more than anything, so it isn't one more than itself. If a count isn't one more than itself, neither is the next, because two counts that step to the same next count were the same count. And every count is reached from the start.

Every proof comes with a receipt, the list of extra principles it leaned on. This proof's receipt is blank, like the receipt for 1 + 1 = 2: it leans on nothing but the rules of counting. A truth like that holds for the counting numbers however the counting is written down, as numbers or as lists of marks.10 Every other truth holds given a principle with a name.

TRUE OR FALSE every statement is one or the other the top price THE SEARCH is there a beep somewhere? THE ZERO TEST is it silent forever? THE WAIT a search that can't fail succeeds THE FORK which side is silent, even or odd? FREE 1 + 1 = 2. blank receipt. pay for a box and everything joined below it comes with it. no two of the six are the same price.

Each price buys everything joined below it: "every statement is either true or false" gives the search, the search gives the zero test and the wait, and the zero test gives the fork. No two of the six prices are the same: for any two there's a consistent world where one holds and the other fails.11 At the top sits "every statement is either true or false," the principle everybody treats as free, and it's the most expensive of them. Ordinary arithmetic doesn't need it for claims of the form "for every x there's a y with a property you can check." If classical arithmetic proves one, it can be proved without that principle, and the proof comes with a program that finds y.12 Every number x is y + y or y + y + 1 for some y. The program returns half of x, rounded down: for x = 7 it returns 3, and 7 = 3 + 3 + 1. The full price menu is in Is Math Invented or Discovered?.

Zoom out. Step 5 is done. A blank receipt sits at the bottom, a named principle prices everything else, and "every statement is either true or false" is at the top. Next, and why: one question is left. Can a rulebook vouch for itself?

Step 6: No consistent rulebook of this kind vouches for itself

If a rulebook that checks its claims by rules and contains arithmetic never contradicts itself, it can't prove that it never does. Trust in it comes from a level above.

Here's how we know. Kurt Gödel showed in 1931 that arithmetic, and arithmetic with any finite list of added premises, can't prove its own consistency if it is consistent. The institute's book proves it again for its own proof checker.13 M. H. Löb found the same wall for single claims in 1955: a rulebook like this certifies "if I prove φ, then φ is true" only for the claims φ it proves outright.

The way up is a tower, of the kind Alan Turing studied in 1939. Rulebook 0 is arithmetic, and rulebook k + 1 is rulebook k plus the premise "rulebook k never contradicts itself." Every level is consistent. Each level proves the consistency of the level below. No level proves its own, though it's true.14

rulebook 3 and on up, with no top and so on rulebook 2 adds: 1 never contradicts itself vouches for rulebook 1 never for itself rulebook 1 adds: 0 never contradicts itself vouches for rulebook 0 never for itself rulebook 0 the rules of arithmetic has nothing below it never for itself every floor is consistent. somebody always stands one floor up.

Every rulebook can vouch for the one below it. None can vouch for itself. So somebody always has to stand one floor up. Even the proofs of these facts stand one floor up: they're written in ordinary classical mathematics, above the whole tower. Turtles All the Way Down? works out the tower and why it has no top.

Zoom out. Step 6 is done. Every level is consistent, each vouches for the one below, and none for itself. All six steps are in place.

What this changes

You can know some things for sure. Anything one moment shows, once it has happened, because the record keeps it. Anything a fixed opening stretch decides. The verdict of any law at any precision you choose. Every truth with a blank receipt.

What a run of data can't do is confirm a "never," an "always" or an exact number. It can break them. So when someone says "proven," you can ask which kind of knowing they mean: a moment that showed it, a stretch that decided it, a verdict at a stated precision, or a derivation from a principle with a name.

And knowing is never a view from outside the record. It's one more event in it, the same act you started with: telling two things apart, again and again, and writing each one down.

What's still open

  • That physical change is the writing of reality's record. The record keeps every entry: that's proved. That evolution is this record being written is the premise our answers stand on, and it isn't derived yet. (Step 1)
  • The measurement model and the number line. That a measurement reaches us as readings with shrinking margins, and that a physical quantity is a point on the number line, are named identifications. The proofs take them as given. (Step 4)

The whole trip, in one breath

Truth is what holds in reality's permanent record, and knowing is one more event in it: a look, one thing told apart from another. A finite stretch of looks confirms exactly the claims one moment can show, refutes exactly the claims one moment can break, and settles exactly the claims whose answer, yes or no, always shows at some moment. Settling, proved without "true or false," costs at most a wait, which needs no extra information and for some claims has no deadline fixed in advance, and letting a verdict change reaches further and then stops. No reading confirms an exact value, because a window of readings always holds a rival a hair away, so an exact value never comes from a record, and every law still gets a verdict at every precision. A truth with a blank receipt needs no added principle, every other truth holds given a principle with a name, and "every statement is either true or false" is the most expensive of them. No consistent rulebook of this kind vouches for itself, so trust comes from a level above. That's how knowing is built into reality. One beep proves "smoke" for good. A thousand silent days can't prove "never." A "never" that is known for good is known by derivation, from what distinction forces or from a principle with a name.


  1. "The Shape of Reality: Recognition, Records and Forced Structure" (Section 1), from the Recognition Physics Institute, at recognitionphysics.org/publications/, states the three facts. It is a preliminary preprint and has not been peer reviewed. ↩

  2. S. W. Hawking, "Breakdown of predictability in gravitational collapse," Physical Review D 14, 2460 (1976). His calculation said a black hole destroys the information that falls into it, which clashed with unitarity. Most physicists now expect the information to come back out in the radiation, and the open question is how: A. Almheiri, T. Hartman, J. Maldacena, E. Shaghoulian and A. Tajdini, "The entropy of Hawking radiation," Reviews of Modern Physics 93, 035002 (2021). ↩

  3. "Recognition Boundary Theory: How One Ledger Holds Many Perspectives," a preliminary manuscript from the Recognition Physics Institute (28 October 2026; not peer reviewed), at recognitionphysics.org/publications/. Its Theorem 2.14 proves that writing a new entry never alters an earlier one. The manuscript's "ledger" is the record described here. ↩

  4. Jonathan Washburn, "The δ Foundation: Distinction, Arithmetic, and the Limits of Abstraction," fourth edition (Recognition Science Institute, 2026; not peer reviewed), at recognitionphysics.org/publications/the-delta-foundation/, Section 17.7: Theorem 17.13 (confirm, refute, settle), Theorem 17.15 (what blocks settling) and Theorem 17.16 (settled claims on yes-or-no runs). The proofs are classical and the rules are arbitrary. Theorem 17.13 claims no device and no bound on the number of readings, and Theorem 17.16 claims no computable bound. Kevin T. Kelly, The Logic of Reliable Inquiry (Oxford University Press, 1996). ↩

  5. Theorem 17.17 and Proposition 17.18 of the book (note 4). In constructive mathematics the search is the limited principle of omniscience (LPO), named by Errett Bishop in Foundations of Constructive Analysis (McGraw-Hill, 1967); the zero test is its weak form (WLPO), the fork is its lesser form (LLPO), and the wait is Markov's principle for binary sequences (MP). Part 1 of Theorem 17.17 and the equivalence in its part 2 use no excluded middle and no choice. That the even-day claim is settled, and that no bound fixed in advance exists, are proved classically. The theorem does not claim that every settled claim costs exactly the wait. ↩

  6. Theorem 17.20 of the book (note 4). The classes go back to E. Mark Gold, "Limiting recursion," Journal of Symbolic Logic 30 (1965), 28-48, and Hilary Putnam, "Trial and error predicates and the solution to a problem of Mostowski," Journal of Symbolic Logic 30 (1965), 49-57. The rules are arbitrary, so the theorem concerns information, not computation. That an orbit is a stream of recorded integers, and every integer stream a possible orbit, is a modelling assumption the theorem does not supply. ↩

  7. Theorem 17.21 of the book (note 4). The measurement model: a measured world is a real number v with rational readings r0, r1, ... such that |v - rn| < 2-n for every n. The post's n-th reading is rn. A record fits exactly the values consistent with its readings, and if c is consistent, so is every value within some distance of c. The golden-ratio example is part 3. The theorem says an exact value cannot come from the record, not where one comes from or that any constant has one. ↩

  8. Bureau International des Poids et Mesures, The International System of Units (SI), 9th edition (2019). Section 2.2, Table 1, fixes the speed of light in vacuum at c = 299 792 458 m/s and the Planck constant at h = 6.626 070 15 × 10-34 J s, and states that the numerical values of the defining constants have no uncertainty. Section 2.3.1 defines the metre and the kilogram from them. ↩

  9. Theorem 17.22 of the book (note 4). Its first three parts use no omniscience principle and no choice. Part 4 gives the costs in the last paragraph of Step 4: the zero test for deciding an equation or "at most," the search for "less than," the wait for turning "not exactly equal" into a visible difference, and the fork for "x ≤ y or y ≤ x." Reading a physical law as such a law, and a finite-precision test as the tolerance test, identifies physical quantities with points of the number line. The theorem does not supply that identification. ↩

  10. Corollary 5.9 of the book (note 4): "no count is one more than itself" has a derivation whose induction formulas are all quantifier-free, which by Section 6.3 gives it an empty ledger: no added principle, and induction only on formulas without quantifiers. Corollary 8.7: a closed derivation with an empty ledger is true under both presentations of the counting numbers, as numbers and as lists of marks. Counting built from distinction is in J. Washburn and M. Zlatanović, "The δ-calculus: From distinction to arithmetic," Advances in Pure Mathematics 16(9), 705-739 (2026). ↩

  11. Theorem 7.38 of the book (note 4): over intuitionistic second-order arithmetic, none of the five priced principles is derivable, and no two of the six are equivalent, shown by four models. Proposition 7.35 gives the implications drawn as lines. ↩

  12. Theorems 20.59 and 20.60 of the book (note 4): if classical arithmetic proves "for every x there is a y such that A," with A containing no quantifiers, not even bounded ones, then arithmetic without excluded middle proves it, and a program returns a witness y on every input. The book works the parity statement as its example. The existence of the program is proved in a classical metatheory. ↩

  13. Kurt Gödel, "Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I," Monatshefte für Mathematik und Physik 38 (1931), 173-198. In the book (note 4): Theorem 20.42, for its own proof checker, and Theorem 20.50, for arithmetic with any finite list of added premises. M. H. Löb, "Solution of a problem of Leon Henkin," Journal of Symbolic Logic 20 (1955), 115-118; Theorem 20.49 of the book. From Theorem 20.42 on, the book's arguments use a classical metatheory. ↩

  14. Theorem 20.53 of the book (note 4): with T0 = arithmetic and Tk+1 = Tk plus "Tk never contradicts itself," every Tk is consistent, Tk+1 proves the consistency of Tk, and Tk does not prove its own consistency. Theorem 20.51 shows that each level's consistency sentence is true. A. M. Turing, "Systems of logic based on ordinals," Proceedings of the London Mathematical Society s2-45 (1939), 161-228. ↩