Where the angle comes from

A wall that stopped moving

Four falloff exponents were reported not to move the rise below which stems stop reaching a lattice. Their measured walls spanned a factor of two and ordered themselves 2, 5, 3, 4. At twenty starting angles they span a fifth of one and order themselves 5, 4, 2, 3 — so the conclusion was right and its arithmetic was noise.

Worth reading first: Fitting the exponent · How long a stem takes to settle.

Below a certain rise a stem stops reaching a lattice at all, whatever angle it is started from. That is the wall, and it is read as the rise at which the share of starting angles that settle falls through a half.

The four falloff exponents were swept to ask whether a steeper rule walls somewhere else, and the answer was that it does not. The numbers underneath that answer looked less settled than the answer did.

The settling share at every rise, sampled two ways. How often a stem reaches a lattice, against the rise, at each of the four falloff exponents. The horizontal rule is the half share the wall is read at. At nine starting angles the four exponents cross it at rises spanning a factor of 1.96 and order themselves 2, 5, 3, 4; at twenty they span a factor of 1.18 and order themselves 5, 4, 2, 3. The ordering reverses and the spread collapses, so the conclusion that the exponents do not separate is confirmed and the numbers that had suggested otherwise were the coarser sampling's own error.
Fig. 1 The settling share against the rise at both samplings, with the half level the wall is read at.

What the nine angles gave

Walls at 0.01397, 0.00711, 0.00711 and 0.00867 for exponents two, three, four and five. A factor of 1.97 between the ends, and an ordering of 2, 5, 3, 4.

That is a two-fold spread on a quantity reported not to move. The file said so plainly — it computed a binomial standard error of about 0.17 on each cell and declined to read a spread of 0.056 against it — and reported the conclusion rather than the spread.

The settling share at every rise, sampled at nine angles. How often a stem reaches a lattice, against the rise, at each of the four falloff exponents. The horizontal rule is the half share the wall is read at. At nine starting angles the four exponents cross it at rises spanning a factor of 1.96 and order themselves 2, 5, 3, 4; at twenty they span a factor of 1.18 and order themselves 5, 4, 2, 3. The ordering reverses and the spread collapses, so the conclusion that the exponents do not separate is confirmed and the numbers that had suggested otherwise were the coarser sampling's own error.
Fig. 2 The four exponents’ shares at nine starting angles, whose crossings are spread over a factor of two.

What twenty give

Walls at 0.01180, 0.01106, 0.01199 and 0.01300. A factor of 1.18 between the ends, and an ordering of 5, 4, 2, 3.

The spread collapses from two-fold to a fifth, and the ordering reverses completely: the exponent that had the coarsest wall now has the third, and the one that had the finest now has the second.

The settling share at every rise, sampled at twenty angles. How often a stem reaches a lattice, against the rise, at each of the four falloff exponents. The horizontal rule is the half share the wall is read at. At nine starting angles the four exponents cross it at rises spanning a factor of 1.96 and order themselves 2, 5, 3, 4; at twenty they span a factor of 1.18 and order themselves 5, 4, 2, 3. The ordering reverses and the spread collapses, so the conclusion that the exponents do not separate is confirmed and the numbers that had suggested otherwise were the coarser sampling's own error.
Fig. 3 The same four exponents at twenty starting angles, whose crossings sit close together.

Which is what a noisy ordering does

An ordering that reverses when the sample doubles is not an ordering. Had the four exponents genuinely separated, doubling the sample would have tightened the same order rather than producing a different one.

So the two samplings agree about the conclusion and disagree about every number that might have been read as evidence against it. That is the pleasanter of the two ways a re-sampling can go and it is worth naming as such.

14 specimens separate 14.7% from 50%. The exact binomial power against sample size, for a one-sided test at 5 per cent. It is a staircase rather than a curve because the decision rule is a whole number of specimens: at 14 the cut sits at 5 and the power is 91.0 per cent. A normal approximation smooths that staircase away and reports a different answer.
Fig. 4 The wall against the falloff exponent at both samplings, where neither ordering survives the other.

The error, halved

The binomial standard error on a pooled column falls from 5.8 per cent to 3.7, and on an individual cell from about 17 to about 11.

That is exactly what doubling a sample buys and it is worth stating that it is not more. A share over twenty runs is still a coarse instrument, and the readings this table supports are orderings and presences rather than precise shares.

How many starting angles reach a lattice at all. The share of nine starting angles, spread from 40 to 180 degrees, whose stem settles onto a lattice at each rise. It falls from 7 of 9 at the coarse rises to 1 at the finest, and the runs that fail do not fail by running out of organs — grown three times as long they fail identically. So what closes at the fine end is the set of arrangements a stem can fall into rather than the time it has to find one, which is a different kind of limit and a more interesting one.
Fig. 5 The share of starting angles that reach a lattice, with the error a sample of this size carries.

Why the wall survives a bias

The extra angles settle less often than the original nine, so every share in the table falls by about fifteen points. A level crossing read at a half might have been expected to move a long way.

It does not, because the shares fall by roughly the same amount everywhere and the curves are steep where they cross. At the working exponent the share falls from 60 to 30 per cent across one step of the rise, so a fifteen-point shift moves the crossing by well under one rise.

How many starting angles reach a lattice at all. The share of nine starting angles, spread from 40 to 180 degrees, whose stem settles onto a lattice at each rise. It falls from 7 of 9 at the coarse rises to 1 at the finest, and the runs that fail do not fail by running out of organs — grown three times as long they fail identically. So what closes at the fine end is the set of arrangements a stem can fall into rather than the time it has to find one, which is a different kind of limit and a more interesting one.
Fig. 6 The share against the rise, whose slope near the crossing is what a bias has to be divided by.

What a level does to a curve

Worth a paragraph, because the wall is defined by a threshold and this collection distrusts thresholds. The level is a half, chosen because the share falls from most of the angles to none of them as the rise falls, so any level between about a third and two thirds names the same ordering of the four exponents.

That was asserted when the level was chosen. At twenty angles it can be checked: the shares still run from 70 per cent at the coarse end to 5 at the fine one, so any level in the middle third crosses in the same place to within a rise.

How many starting angles reach a lattice, by rise and by falloff. Every cell is 9 stems grown from 9 starting angles spanning 40° to 180°, at one rise and one exponent in the placement rule's falloff, for 1200 organs each. The number is how many of them settle onto a lattice. Reading down a column, the basin closes as the rise falls, which is the wall. Reading across a row, nothing much happens: the exponent-three column is the published settling table digit for digit, and the other three are the same column inside their own sampling error. The account that a steeper falloff should wall somewhere else does not survive the table it predicted.
Fig. 7 The whole table of shares, across which a level anywhere in the middle third names the same crossing.

What the pooled shares say

Another reading, and it does not use a level at all. Pool every cell of an exponent’s column and the shares are 41.7, 43.1, 40.3 and 37.5 per cent at nine angles and 36.9, 32.5, 31.9 and 28.1 at twenty.

The ordering there is nearly stable — 3, 2, 4, 5 becomes 2, 3, 4, 5, which is one swap at the top — and the spread is about four points against an error of four. So the pooled reading says the same thing the wall does and says it without a threshold.

14 specimens separate 14.7% from 50%. The exact binomial power against sample size, for a one-sided test at 5 per cent. It is a staircase rather than a curve because the decision rule is a whole number of specimens: at 14 the cut sits at 5 and the power is 91.0 per cent. A normal approximation smooths that staircase away and reports a different answer.
Fig. 8 Each exponent’s pooled settling share, which is the reading that needs no level.

Two readings that agree

That agreement matters more than either reading. A quantity that is stable under a threshold and stable without one is stable; a quantity that needs the threshold is a quantity whose result is partly the threshold’s.

The wall needed a level and the pooled share does not, and both say the four exponents do not separate. So the conclusion does not rest on the half.

One exponent fitted to an organ that has 4 of them. Each dot is one step between consecutive rings, reporting 2 ln φ / ln(s′/s) — the exponent that step would have if the organ had one. They run from 1.980 to 1.697. The line is what a single fit returns, 1.891, which is their harmonic mean of 1.880 and sits below their plain average of 1.887.
Fig. 9 What a single exponent’s column reports, read three ways.

Where the exponents do separate

They separate on the clock. A steeper falloff settles a stem faster — the slowest settling run at exponent two takes longer than the slowest at exponent five — and that is a time rather than a share, so it carries no binomial error.

They also separate on destinations: the steep exponents reach places the shallow ones do not. Both of those readings are unaffected by the sampling in the way a share is, and both are where the file’s own conclusion put the difference.

The destination list does grow with the sampling — from three steep-only entries to five — but growing is the only thing it can do, since an angle added can reveal a destination and cannot conceal one.

How many organs settling takes, by falloff exponent. One mark per stem that settles, placed at the organ from which every later divergence stays within a degree and a half of the run's own final value. At the exponent every other measurement here uses, the slowest is 290 organs — the number four rounds of this collection have carried as though it belonged to the rule. It belongs to the exponent: at 4 the slowest is 808 and at 5 it is 674. A table of shares cannot see this, because a stem that settles at organ 800 and one that settles at organ 8 are the same entry in it. And it is still not a shortage of time: of 72 pairs of runs grown to 1200 organs and then to 3200, 0 settle at the longer length after failing at the shorter.
Fig. 10 How long a run takes to settle at each exponent, which is where the four do separate.

What the wall is, if it is not exponent-dependent

A property of the rise. Below about 0.011 in the rise, most starting angles fail to reach a lattice, and that is true whether the falloff goes as the square, the cube, the fourth or the fifth power of the distance.

Which is a statement about the geometry rather than about the rule’s shape, and it is the statement the wall being a wall rather than a budget already pointed at: a longer run does not rescue those stems, so what stops them is not time.

What happens instead is that the stem never settles onto a branch — its divergence wanders rather than arriving, and a counter pointed at it still returns a pair, which is why the test has to be made on the divergence.

The same table, grown 2.7 times as long. Every rise and every starting angle, grown to 1200 organs and then to 3200. The two middle columns are how many starting angles reached a lattice at each length, and they are the same column: of the 72 pairs of runs, 72 are identical organ for organ and 0 settle at the longer length after failing at the shorter one. Tripling the budget buys nothing anywhere. What the fine rises are short of is not run length: the share of starting angles that reach a lattice at all falls from 7 of 9 to 1, so the arrangements a stem could fall into have mostly stopped existing.
Fig. 11 Runs at two lengths, which is the comparison that made the wall a wall rather than a budget.

The finest rises are unchanged

At the bottom of the table almost nothing settles at any starting angle: one of twenty at a rise of 0.004, one of twenty at 0.003 at the working exponent.

The extra angles leave that exactly as it was, which is the other thing worth checking. A sampling change that moved the fine end as well as the middle would have been a change in the whole table rather than a correction to a share.

The settling share at every rise, sampled two ways. How often a stem reaches a lattice, against the rise, at each of the four falloff exponents. The horizontal rule is the half share the wall is read at. At nine starting angles the four exponents cross it at rises spanning a factor of 1.96 and order themselves 2, 5, 3, 4; at twenty they span a factor of 1.18 and order themselves 5, 4, 2, 3. The ordering reverses and the spread collapses, so the conclusion that the exponents do not separate is confirmed and the numbers that had suggested otherwise were the coarser sampling's own error.
Fig. 12 Both samplings across the rises, converging at the fine end where nothing settles.

What a factor of 1.18 is

It is 0.01106 to 0.01300, which is less than one step of the rises the table is grown at. The eight rises are 0.030, 0.020, 0.013, 0.008, 0.005, 0.0045, 0.004 and 0.003, and the gap between 0.013 and 0.008 is a factor of 1.6.

So all four walls now sit inside one interval of the table’s own grid, and the interpolation that places them within it is an interpolation between two cells rather than a measurement. That is the honest description of a factor of 1.18.

14 specimens separate 14.7% from 50%. The exact binomial power against sample size, for a one-sided test at 5 per cent. It is a staircase rather than a curve because the decision rule is a whole number of specimens: at 14 the cut sits at 5 and the power is 91.0 per cent. A normal approximation smooths that staircase away and reports a different answer.
Fig. 13 The four walls at both samplings, against the rises the table is actually grown at.

Which means the wall is a coarse number

It always was, and the two-fold spread at nine angles was the first sign. A wall computed by interpolating a share between two rises five parts in a thousand apart cannot be quoted to five digits and mean it.

The right form is between 0.013 and 0.008, at every exponent, at both samplings. That is what the table resolves and it is what all four columns agree on.

How many starting angles reach a lattice, by rise and by falloff. Every cell is 9 stems grown from 9 starting angles spanning 40° to 180°, at one rise and one exponent in the placement rule's falloff, for 1200 organs each. The number is how many of them settle onto a lattice. Reading down a column, the basin closes as the rise falls, which is the wall. Reading across a row, nothing much happens: the exponent-three column is the published settling table digit for digit, and the other three are the same column inside their own sampling error. The account that a steeper falloff should wall somewhere else does not survive the table it predicted.
Fig. 14 The table’s own grid of rises, which is the resolution any wall is quoted at.

Why it was quoted more finely

Because the interpolation returns a number and a number invites its digits to be read. That is the same shape as a position quoted in sampled steps — a quantity computed inside an instrument’s own resolution and reported as though it were outside it.

Both are easy to make and both are visible the moment a second sampling exists. Neither is a mistake in the arithmetic.

Rises that do not settle, at two resolutions. The count of rises whose divergence never settles, on the rung where the band was found and on the finer rung swept ten times as closely. The coarse rung has six of 19, all of them stuck on three eighths of a turn; the finer rung has none of 23. Sampling is not the explanation: if a band of the same kind sat inside the 3/5 rung it would need to be narrower than a ten-thousandth of rise to have been missed here.
Fig. 15 A quantity read at two resolutions, which is how a number quoted too finely becomes visible.

What twenty angles did for the conclusion

Confirmed it, and removed the awkwardness. Before, the file said the exponents do not separate while printing four walls spanning a factor of two, and a reader had to take the error bar on trust.

Now the four walls span a factor of 1.18, which is inside one step of the table’s grid, and the sentence and the numbers agree. That is worth twelve minutes on its own.

The settling share at every rise, sampled at twenty angles. How often a stem reaches a lattice, against the rise, at each of the four falloff exponents. The horizontal rule is the half share the wall is read at. At nine starting angles the four exponents cross it at rises spanning a factor of 1.96 and order themselves 2, 5, 3, 4; at twenty they span a factor of 1.18 and order themselves 5, 4, 2, 3. The ordering reverses and the spread collapses, so the conclusion that the exponents do not separate is confirmed and the numbers that had suggested otherwise were the coarser sampling's own error.
Fig. 16 The four exponents at twenty angles, where the numbers and the conclusion say the same thing.

What did not need re-checking

The claim that the wall is a wall rather than a budget. That was established by growing the same runs nearly three times as long and finding the table unchanged, and a run length has nothing to do with how many starting angles are sampled.

Similarly the destinations, which are presences rather than shares: a destination the table reaches is reached whatever else is sampled, and adding angles can only add to that list.

Every divergence a stem settles on, by falloff exponent. One row per exponent, one mark per distinct settled divergence anywhere in that column, read to a tenth of a degree. This is the sharpest instrument in the sweep and the cheapest: it is already in every run, it does not average, and it is read on the same azimuth grid at every exponent. The steeper falloffs reach 42.3°, 47.9°, 148.1° — values that appear nowhere in the two shallower columns — while the traffic the other way is empty. So the exponent changes the map of where a stem can end up while leaving alone the share of starting angles that end up anywhere, which is a result a measurement of "did it settle" was never going to find.
Fig. 17 The destinations each exponent reaches, which are presences and do not carry a sampling error.

What a re-sampling can do to a conclusion

There are three outcomes and this is the third. A re-sampling can break a conclusion, which is the case everyone plans for. It can confirm it and tighten its numbers, which is the case everyone hopes for.

Or it can confirm the conclusion while destroying the numbers that were reported alongside it — which is what happened here, and which is the case nobody has a name for. The file’s sentence survives and four of its printed values do not.

That is not a failure of the earlier work. The earlier work printed the values and then declined to read them, which is exactly right; what it could not do was say how much of the spread was error, because with nine angles a spread and an error are the same size.

14 specimens separate 14.7% from 50%. The exact binomial power against sample size, for a one-sided test at 5 per cent. It is a staircase rather than a curve because the decision rule is a whole number of specimens: at 14 the cut sits at 5 and the power is 91.0 per cent. A normal approximation smooths that staircase away and reports a different answer.
Fig. 18 The four walls at both samplings, of which one set survives as numbers and one does not.

The habit that made it survivable

The file computed its own error bar before reading its own numbers. That single step is why this reading corrects an arithmetic rather than a claim.

It is worth naming because the alternative is common and cheap: report four values, notice they differ, and write a sentence about why the steeper exponents wall coarser. Nothing would have caught it, because every one of the four values is a correct value of what it measures.

How many starting angles reach a lattice at all. The share of nine starting angles, spread from 40 to 180 degrees, whose stem settles onto a lattice at each rise. It falls from 7 of 9 at the coarse rises to 1 at the finest, and the runs that fail do not fail by running out of organs — grown three times as long they fail identically. So what closes at the fine end is the set of arrangements a stem can fall into rather than the time it has to find one, which is a different kind of limit and a more interesting one.
Fig. 19 The error on a cell of the table, which is what the earlier reading computed before quoting anything.

What a third sampling would say

Forty angles would halve the error again, to about eight per cent on a cell, and would put the four walls somewhere inside a factor of about 1.1 if the current reading is right.

That is not worth twenty-five minutes for its own sake. It would be worth it as a by-product of something else — the basins want a finer spacing, and the destination list has grown at every refinement so far — and the wall would come along with it.

Where a stem started at each of twenty angles ends up, at a falloff exponent of 3. One column per starting angle and one row per rise, coarse at the top. A filled cell is a run that reached a lattice, its tone the destination it reached; a pale cell is a run that never settles. Runs of one tone across neighbouring columns are basins, and the widest of them spans 7 consecutive angles. The angles are 6.25 to 10 degrees apart, so a basin narrower than that cannot be seen here and a single filled cell says nothing about how wide its basin is.
Fig. 20 The table the extra angles are grown into, which a further refinement would fill in between.

What the four exponents are

Two to five, and the range is chosen rather than swept. Three is the falloff every other measurement on this site uses, so it sits in the middle of the range rather than at an end of it — a sweep that started at the working value could only ever say the wall moves one way.

Below two the neighbourhood stops being local at these run lengths, so the sum an organ is placed at the minimum of reaches most of the stem. Above five the sum is decided by one organ, which is a different rule rather than a steeper one.

So the four are the range over which steeper falloff means something, and the finding is that across the whole of it the wall does not move.

The neighbourhood of 21/55, and where its background was taken from. μ₂ across nine tenths of a degree either side of 21/55, on a head of 825 organs — 15 in each of its 55 rows. The deep notch at the centre is the dip. The shaded columns are the offsets this site now takes a background from: those at least 0.03° from every rational with a denominator of 60 or less, of which there are 54 here. The marked sample at 0.2° is the one the earlier work used, and it lands 0.007° from 13/34 — inside that rational's own dip. It reads 0.115 against a floor of 0.148, so measured that way the dip is an inversion. The clear offsets give 0.339.
Fig. 21 The neighbourhood an organ is placed against, whose extent is what the falloff exponent sets.

And what the wall is not

It is not the finest rise at which anything settles. That is a different number — some angle reaches a lattice at 0.003 at three of the four exponents — and it is a maximum over twenty runs rather than a level crossing.

Quoting the two together is worth doing, because they answer different questions. The wall says where most starting angles stop working; the finest says where the last one does.

How many starting angles reach a lattice at all. The share of nine starting angles, spread from 40 to 180 degrees, whose stem settles onto a lattice at each rise. It falls from 7 of 9 at the coarse rises to 1 at the finest, and the runs that fail do not fail by running out of organs — grown three times as long they fail identically. So what closes at the fine end is the set of arrangements a stem can fall into rather than the time it has to find one, which is a different kind of limit and a more interesting one.
Fig. 22 The share against the rise, whose crossing is one number and whose tail is another.

What a reader should carry

That a spread the file’s own error bar said not to read has turned out not to be readable: at twenty starting angles the four exponents’ walls span a fifth of what they spanned at nine, and their ordering reverses.

And that the wall should be quoted as between 0.013 and 0.008 in the rise, which is what the table’s grid resolves, rather than to five digits — at every exponent and at both samplings.

14 specimens separate 14.7% from 50%. The exact binomial power against sample size, for a one-sided test at 5 per cent. It is a staircase rather than a curve because the decision rule is a whole number of specimens: at 14 the cut sits at 5 and the power is 91.0 per cent. A normal approximation smooths that staircase away and reports a different answer.
Fig. 23 The four walls at both samplings, whose spread collapses when the sampling doubles.

What the picture at the top shows

Four curves per sampling: the share of starting angles that reach a lattice, against the rise, at each of the four falloff exponents. The small dashed marks are nine angles and the large solid ones are twenty.

The horizontal rule is the half share the wall is read at. At nine angles the four curves cross it at rises spread over a factor of two; at twenty they cross within one step of the table’s own grid, and in a different order.

The settling share at every rise, sampled two ways. How often a stem reaches a lattice, against the rise, at each of the four falloff exponents. The horizontal rule is the half share the wall is read at. At nine starting angles the four exponents cross it at rises spanning a factor of 1.96 and order themselves 2, 5, 3, 4; at twenty they span a factor of 1.18 and order themselves 5, 4, 2, 3. The ordering reverses and the spread collapses, so the conclusion that the exponents do not separate is confirmed and the numbers that had suggested otherwise were the coarser sampling's own error.
Fig. 24 Both samplings once more, with the level and the crossings that define the wall.

The one line

At nine starting angles the four falloff exponents’ walls sit at 0.01397, 0.00711, 0.00711 and 0.00867 — a factor of 1.97 apart, ordered 2, 5, 3, 4. At twenty they sit at 0.01180, 0.01106, 0.01199 and 0.01300 — a factor of 1.18, ordered 5, 4, 2, 3.

An ordering that reverses when the sample doubles is not an ordering, so the conclusion that the exponents do not separate is confirmed and the numbers that had looked like evidence against it were the coarser sampling’s own error.

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.

Named objects

A flat tag is an object no other essay names yet.

BasinClaim testingFalloff exponentHonest limitsMeasurement errorNull modelReproducibilitySample sizeSamplingSettlingStarting angleThreshold