A fifth of the hop
Worth reading first: The damage has a period · The organ that was taken away · Counting the spirals.
One step of the control’s own divergence is the best of four candidate units for the size of the exchanged pair in a wrecked stem, and it is wrong by up to 11.8 per cent.
The miss is not scatter. Every row whose stem kept a lag of 5 or 7 overshoots one step; every row whose stem kept a 4 or an 8 falls short. No lag appears on both sides, on seventeen rows across two branches and eight lattices.
That was already in the record as an unexplained pattern — the essay that measured the pair reports it and says nothing about it. This essay is the attempt to say something, and most of the work is deciding how much the attempt is worth.
The quantity the residual sorts by
Fold the surviving lag into the divergence: the angle from an organ to the one k places above it is k times the divergence, taken round the circle and folded into half a turn either way. That is the surviving hop’s own angle, and it is what a counter would read if it counted that family.
It is negative for lags of 5 and 7 and positive for lags of 4 and 8, at about −34°, −24°, +39° and +22°. The residual is positive where the hop’s angle is negative and negative where it is positive, on all seventeen rows.
The correction
Take one step of the control’s divergence and subtract a fifth of the surviving hop’s angle. The worst row goes from 11.8 per cent to 4.0, the average from 4.3 to 1.0, and every one of the seventeen rows falls inside five per cent.
That is a factor of three on the worst row and a factor of four on the average, bought with one coefficient.
A fifth is stated, not fitted
The least-squares coefficient over the seventeen rows is 0.188. A sixth, a fifth and a quarter all take the worst row under six per cent, and the fifth is the roundest number in that range.
Quoting 0.188 would be quoting three digits of a coefficient fitted to a handful of points, which is a precision the data does not carry. Quoting a fifth says the same thing and does not pretend.
It is the same discipline the tolerances in this thread are chosen by: a threshold that sits in a gap is stated once and never tuned, because a number that could have been anything in a range and was chosen at one end is a number carrying a decision nobody declared.
The sign is the result, not the size
A coefficient fitted to seventeen rows is worth about seventeen rows. What is not a fit is the direction: the surviving lags in this census give hops on both sides of zero, and the residual follows every one of them.
If the correction were an artefact of fitting, it would have no reason to change sign where the predictor does. Four lags, two signs, seventeen rows, and no exceptions.
The honest denominator is four
This is the part the essay exists to say. The hop’s angle is k times the divergence, and the divergence barely moves across the census — 99° to 138°. So the seventeen rows carry eleven distinct hop angles which fall into four tight clusters, one per surviving lag.
The correction is therefore a line fitted to four positions on its own axis, scored on seventeen rows. A reader told “seventeen rows, no exceptions” and not told “four clusters” has been told something misleading by a true sentence.
And inside a cluster it does not work
Within the rows sharing a lag of 5 the hop angle runs from −37.3° to −30.2° and the residual runs from 3.9° to 10.4°. If the relationship held inside a lag, the largest residual would sit at the most negative hop. It does not: the largest residual sits at −36.1° and the smallest at −31.2°, and the ordering is scrambled.
So the correction accounts for the differences between surviving lags and nothing at all for the differences within one. The coefficient implied row by row runs from 0.121 to 0.301, a factor of two and a half, and the file records that rather than averaging it away.
Why the hop’s angle and not its length
The surviving family is identified by a length: it is the lag whose step across the surface the cut stem holds unchanged, and the census reports that length for every row. The length is not the quantity the residual follows.
The angle is. A lag’s step has a height, prescribed by the rise, and an azimuth, which is that many divergences round the circle. Two lattices can have the same step length with very different azimuths, because the height makes up the difference — and it is the azimuths this residual sorts by.
That is worth stating because a reader who has followed the survivor thread has been reading lengths for several essays. The correction changes the unit halfway through, and the change is the reason it works.
What a fifth might be
An honest guess, offered as one. The two exchanged chains are one place apart in the sequence and therefore one divergence step apart in azimuth, and they are also some number of hops apart in the family the stem has kept rigid. If the exchange relaxes slightly towards the geometry of that family, the relaxation would carry a share of the family’s own angle.
A share of a fifth would then be a property of how stiff the surviving family is against the rest of the arrangement, which is a quantity nobody here has defined, let alone measured. So the guess names a thing that would have to exist rather than explaining anything.
What would test it
A wrecked cut whose surviving lag is not 4, 5, 7 or 8. The correction predicts a residual of about a fifth of that lag’s hop angle, with the opposite sign, and it predicts it before the row is measured.
Lags outside those four do occur: the census’s own length ranking places a survivor as deep as thirty-seventh, and lags of 11 and 13 are perfectly ordinary steps on a fine lattice. No wrecked cut in this census keeps one, so finding a lattice that does is the test — a search rather than a sweep, and cheap.
The prediction is specific
At a lag of 11 on a golden lattice the hop angle is about +32°, so the correction predicts an exchange about 6° short of one divergence step. At a lag of 13 it is about −20°, so about 4° long.
Two numbers, either of which could be wrong by more than their own size. That is what makes it a test rather than an extension — and it is the same shape as the test the slot interaction’s rule needs and cannot get from inside the ladder: a value of the predictor that the existing design does not reach.
The worst row is the row a longer run doubts
The correction’s largest error is 4.0 per cent, on the Lucas 0.013 stem’s cut four organs back. The next worst is 2.3, and the mean is 1.0, so that row is nearly twice as far out as anything else.
It is also the only row in the census whose surviving lag is 4, so it is a cluster of one and the correction has no other row to be checked against there. Both of those were known, and a cluster of one is the shape a rule with a single exception has when the exception is also the only test of one of its terms.
And a separate measurement says the same row is unreliable
Running every cut twice as far asks whether a profile’s levels are steady over six hundred organs rather than three hundred. Twenty-six of thirty rows are; one that was periodic over the shorter run is not over the longer, at a spread of 171.2° against 6.1°.
That row is this one. So the exchange it reports is a reading taken over a window still inside a transient, and the row that fits this essay’s rule worst is the row a different measurement, made for a different reason, says should not have been read.
Which is a check, not a rescue
Dropping the row would take the worst error from 4.0 per cent to 2.3 and the cluster count from four to three. That is a better-looking table and a weaker one, and the essay does not drop it.
What the coincidence is worth is different: two readings of one census, taken for unrelated reasons, agreeing about which row is least trustworthy. Neither knew about the other, and that is the kind of agreement worth more than either measurement.
The alternative nobody can rule out
Four clusters and one coefficient is exactly the amount of data that cannot distinguish a linear relationship from any other monotone one. A rule of the form minus a fifth of the hop and a rule of the form minus a constant per lag agree on every row here, because the hop is nearly constant inside a lag.
The second is a much weaker claim — four numbers fitted to four groups, which is no compression at all — and nothing in this census separates it from the first. What separates them is a fifth cluster, which is the test above and the reason it is the test.
What is not claimed
That the exchange is exactly a step less a fifth of a hop. It is a rule that fits seventeen rows to within four per cent, rests on four clusters, and has no account behind it.
Nor that the residual is understood. Something makes the coefficient run from 0.121 to 0.301 inside a single lag, and nothing here says what. The rule accounts for the between-lag structure and leaves the within-lag structure exactly where it was.
Why a residual is worth an essay
Because a twelve per cent shrug is where a measurement stops being tested. “About one divergence step” was true, useful, and unable to be wrong; the twelve per cent had nowhere to go.
Naming a structure in it — even a structure with four points behind it and no mechanism — turns the shrug into a prediction about lags nobody has measured. That is the trade this collection makes over and over, and it is worth stating that the prediction is the point rather than the fit.
What carries forward
A rule, its denominator, its worst row and its test. The test is a search for a wrecked cut with a surviving lag outside 4, 5, 7 and 8, which would put a fifth cluster on the axis and either confirm the sign or break it.
And a piece of arithmetic worth repeating: the within-lag scatter is a factor of two and a half and is untouched. Any account of the exchange that explained that as well would be a considerably better account than this one, and the place to look for one is the arrangement’s own structure rather than in the cut.
A second reading of the same rows
The exchange has two readings and they behave completely differently. Its direction is a discrete fact and it is the same on every row, with nothing left over. Its size is continuous and carries a residual with a structure and a scatter inside the structure.
That is not a coincidence about this measurement; it is what discrete and continuous readings usually do. A sign has no error bar and cannot be nearly right. An angle can be nearly right in several ways at once, and the work is separating them.
What this does to the census’s thirteen other rows
Nothing. They carry three or more exceptional chains and have no balanced pair, so they have no size to correct and are refused rather than scored.
Nearly half the census is therefore outside every number in this essay, and an account of the exchange that also said what those rows are doing would be a different and much better result. Nobody has started on it, and the first question — whether three exceptions are a pair plus a stray or a three-cycle — is arithmetic on numbers already computed.
The one line
The exchanged pair’s size is one step of the control’s divergence less a fifth of the surviving hop’s own angle — worst row four per cent, mean one, and the sign right on every one of the seventeen rows.
The seventeen rows carry four distinct hop angles, so the coefficient is fitted to four clusters; inside a cluster the rule says nothing, and the row it fits worst is the row a separate measurement independently calls unreliable.
What links here
Computed from the collection, not written here: the essays that point at this one.
Shares its objects with
Essays that name at least two of the same things, and that neither author linked.
- A window nobody aligned — both name ablation, census, claim testing, control, honest limits, measurement, negative result, resolution, rigid hop, summary statistic
- Three rows change sides — both name ablation, census, claim testing, control, honest limits, measurement, negative result, resolution, rigid hop, summary statistic
- Two regimes above a hole — both name ablation, claim testing, control, honest limits, measurement, negative result, resolution, rigid hop, sample size, summary statistic
- Which chains changed places — both name ablation, census, claim testing, control, honest limits, measurement, negative result, resolution, rigid hop, summary statistic
- An onset at the end of the run — both name ablation, census, claim testing, control, honest limits, measurement, negative result, resolution, summary statistic
- Every rise of a band — both name ablation, claim testing, control, honest limits, measurement, negative result, resolution, rigid hop, sample size
Named objects
A flat tag is an object no other essay names yet.
AblationCensusClaim testingControlDivergence angleFittingHonest limitsIdentifiabilityMeasurementNegative resultPredictionResidualResolutionRigid hopSample sizeSummary statistic