The claims, measured

The experiment this site can specify

For eight phases the outstanding item has been a survey — photographs, a protractor, hundreds of specimens — and it has not been done. The intervention is a different kind of ask, and a cheaper one: a needle, one apex, and a yes-or-no per ablation. Here is what it would cost, what it would settle, and the four ways it could come out.

Worth reading first: The organ that was taken away · The survey this site cannot do · What a mechanism would have to show.

Eight phases of this collection have ended with the same outstanding item: a survey of real plants that would settle what the machinery says is settleable. It has been specified three times, each time more carefully, and each time it has got harder to justify — hundreds of specimens, a protractor good to a fraction of a degree, a counting radius that has to be stated, and a set of exclusions that threw away most of what a herbarium holds.

Every open question here needs under 34 specimensThe sample size at which each comparison reaches 90 per cent power at a 5 per cent false-positive rate, from the exact binomial rather than a normal approximation. The census question — do plants show consecutive Fibonacci pairs far more often than the geometry does — needs 4: 14.7% is the share of divergence angles giving a consecutive Fibonacci pair at a fine rise; 90% is what a grown history gives.plants show consecutive Fibonacci pairs far more…4and more often even than a coin weighted to a half14a conifer cone's rings are spaced as a cone rather…1multijugate patterns are a real minority rather than…34against 14.7%, if the truth is 90%needs: the pair, at a stated rungagainst 14.7%, if the truth is 50%needs: the pair, at a stated rungagainst φ² = 2.62, if the truth is φ^(2/1.88) = 1.67needs: three ring positions, to ±3%against 2%, if the truth is 15%needs: the pair; the whorl's symmetryspecimens neededexact binomial · α = 0.05 · power 0.91 to 34 specimens
Fig. 1 The survey as it stands: how many plants are needed to separate the claims the subject makes, at a stated significance and power. The number is what it is because the effects are small and the plant-to-plant variation is not.

The intervention is a different kind of ask, and it is worth setting out properly, because for the first time the specification is short.

What is being asked for

One apex, accessible enough to work on under a dissecting microscope. A way to remove a single primordium without disturbing its neighbours — the standard tools are a fine needle or a laser. And a record of which organs were made in which order, which is not an extra requirement: it is visible on the apex, since the youngest primordium is the smallest and nearest the tip and the order runs outwards.

The measurement is: did the next primordium appear where the undisturbed sequence says it would, or somewhere else?

That is the whole of it. No angles need to be measured to a fraction of a degree, no counting radius has to be agreed, and no specimen has to be photographed flat.

The next organ moves for the last 13, and for no othersOne row per organ removed, counted back from the tip of a stem at a rise of 0.005 whose counted pair is 8 and 13. Removing any of the last 13 moves the next organ by 2.6° to 167.6°; removing an older one moves it by at most 0.47°, which is under the azimuth grid. The boundary is at 13, and 13 is the larger parastichy number — so the experiment counts the spirals without measuring an angle.organ removed, counted back from the tiphow far the next organ moves, in degrees1138.0°284.4°353.4°4167.6°529.3°6101.7°7120.7°816.4°9165.2°1056.7°1181.1°12140.6°132.6°— the front ends here140.0°150.0°160.5°rise 0.005 · pair 8/13generated from a stated rule, not drawn to look right
Fig. 2 What the rule predicts, at the rise where a stem’s counted pair is 8 and 13. Removing any of the last thirteen organs moves the next one by between 2.6° and 168° — against a local spacing of 25° and a plant’s own divergence scatter of about half a degree.

The effect sizes, against the noise a plant has

The comparison that decides whether an experiment is worth running is between the predicted effect and the variation the measurement already has.

A real apex’s divergence angles scatter. This site has taken half a degree as the working figure for three phases and has measured what a stem looks like at a range of amplitudes either side of it; the amplitude at which a lattice stops being one is between one and two degrees, depending on how the disturbance is delivered.

Three kinds of noise, matched at 0.75° of divergence scatterThe amplitudes differ — field 0.0056 (fraction of the barrier), jostle 0.15 (degrees of azimuth), placement 0.18 (degrees of azimuth) — and are in different units, so they cannot be compared directly. What can be compared is what they produce, and matched here they are within 27% of one another. Everything a finished pattern records about its noise is shared between the three.field — before the choice0.92°amplitude 0.0056jostle — before the choice0.70°amplitude 0.15placement — after it0.79°amplitude 0.183 runs each, at the amplitude that reaches 0.75°27% apart on the ruler
Fig. 3 The plant’s own noise, at the amplitude this collection works at. Two stems with the same recorded scatter can differ in how the disturbance got in, which has been the standing difficulty of the whole sequence thread — and is not a difficulty for an intervention, where the signal is thirty times the noise.

Against that, the intervention’s smallest predicted signal is 2.6°, at the very last organ of the front, and its largest is 168°. Twelve of the thirteen offsets inside the front predict a displacement of sixteen degrees or more. The ratio of signal to the plant’s own scatter runs from five to three hundred.

For comparison, this site’s best observational readout — recovering the parastichy pair from a list of divergence angles — needs about nine hundred organs on one stem and a protractor good to about four tenths of a degree before its second comb clears the sampling band.

What the pair costs, at a rise of 0.005Five seeded stems at each length, read at four protractor errors. With no reading error the pair needs 250 internodes — against the sixty the single parastichy number costs. At 0.25° per organ it needs 250; At 0.5° per organ it needs 400; At 0.75° per organ it needs 1100. The pattern's own scatter here is 0.70°, so the last of those is a reading error larger than the signal being read.0123451502504007601.1e+3internodes measured on one stemstems out of five returning the counted pairno reading error0.25° per organ0.5° per organ0.75° per organrise 0.005 · disturbance 0.25 · pattern scatter 0.70°generated from a stated rule, not drawn to look right
Fig. 4 What the observational readout costs. The intervention’s requirements are one plant, sixteen cuts and an answer to the nearest quarter of a turn.
The measurement is limited by the protractor, not by the plantThe peak falls as the reading error grows, and it falls by an arithmetic factor with nothing fitted: a position error enters two consecutive divergences with opposite signs, adding variance at every lag while the pattern's signal sits at one. At a quarter of a degree the readout is right on all 5 runs; at half a degree on 2; at a degree on 1. Below the dashed floor the peak is the largest of thirty noisy numbers rather than a measurement.00.2000.4000.6000.80000.50011.502reading error on each organ's position, in degreesheight of the peak at the parastichy numberwhat noise alone givesthe threshold a reading must clear5/5 right5/5 right2/5 right1/5 right1/5 rightpredictedrise 0.008 · 5 runs · pattern scatter 0.75°peak × σ²/(σ² + 2ε²), nothing fitted
Fig. 5 And the same point from the precision side: the comb readout is precision-limited and fails when the ruler is not good enough. Nothing about the ablation is precision-limited.

It is worth being careful about what “signal to noise” means for a yes-or-no measurement, because the arithmetic is not the arithmetic of a mean. The question at each offset is whether the next primordium’s position is drawn from the undisturbed distribution or from a displaced one. The undisturbed distribution has a spread of about half a degree; the displaced one is centred between 2.6° and 168° away. At the smallest offset that is five standard deviations, so a single ablation at that offset separates the two hypotheses about as well as twenty-five specimens separate a difference of one standard deviation in the survey. At every other offset inside the front it is thirty standard deviations or more, which is a distinction no amount of within-plant variation is going to blur.

What is not five standard deviations is the plant-to-plant variation in the undisturbed position itself, which nobody has measured — because until now nobody had a reason to want it. That is the one number this experiment needs that this collection cannot supply, and it is measured by the controls: the ablations past the boundary, where the model predicts nothing happens, give the undisturbed spread directly.

How many cuts

The boundary is what is being measured, so the cuts have to bracket it.

Sixteen ablations — one at each offset from one to sixteen places back — would give the whole step at one rise on one plant, with three offsets past the predicted boundary as the control. Each is a separate apex or a separate plant, since the first ablation changes the pattern that the second would be measured against.

That is the real cost, and it should be said plainly: sixteen apices, not sixteen cuts on one plant. With repeats to establish that the boundary is where it looks, call it three plants per offset and forty-eight apices for one rise.

There is a cheaper design worth naming, and it trades statistics for assumptions. If the boundary is all that is wanted — the count, not the shape of the step — then the offsets far inside the front and far outside it are already known and need not be spent on. Six ablations bracketing the predicted boundary, at n − 2 through n + 3, would locate it if the prediction is roughly right, and would be uninformative if it is badly wrong. The full sixteen is what to do first, on one plant, precisely because it does not assume the answer.

Forty-eight is a greenhouse and a term. The survey this collection has been asking for is hundreds of specimens across a genus, and it needs them to be comparable in ways that herbarium sheets mostly are not.

Both vary; only one of them varies enough to findEach organ's step exponents, divided by its own mean so the two are comparable. The ogive's run over 15 per cent of their mean across 5 rings. The convex head's run over 1.15 per cent across 5 — inside the band a 3 per cent error on each ring position leaves, so no ruler separates it from a flat disc.0.9000.95011.050123which step of the ladderexponent ÷ its meanan ogive — 15%a convex head — 1.15%what 3% per ring allows5 rings on the ogive · 5 on the head15% against 1.15%
Fig. 6 What a real specimen supports, from the survey thread. The exclusions that make a photographic survey expensive — flattening, a stated counting radius, an unbroken order of production — do not apply to a living apex under a microscope.

The four ways it can come out

It is worth writing these down before the experiment rather than after, because each of them says something and the temptation afterwards is to have expected whichever one happened.

Every offset inside the front moves the next organ and no offset outside it does. The placement rule’s prediction, and the transported-error account has nothing to say: it predicts no displacement at any offset. This would be the first evidence on this site that separates a plant computing its pattern from a plant merely having one, and it would come with a spirals count as a by-product, since the boundary is the larger parastichy number.

No offset moves the next organ. The rule is refuted as a description of that apex. That is a real possibility and it is not a remote one: it is what happens if primordium sites are laid down by something the existing organs do not influence — a pre-patterned field, or a genetically timed sequence — and it is the account this collection’s kinematic control was built to represent.

Every offset moves it, including offsets well behind the front. The neighbourhood the plant is placing against is wider than the rule’s, which is a measurement of the interaction range rather than a refutation. This site has already found that the range is not identifiable from a finished pattern; the ablation would identify it directly, which would be the most valuable outcome of the four.

The next primordium appears in the vacancy for some offsets and merely leans towards it for others. The apex has a freedom the model does not — the primordium’s radial position, or the timing of the next one — and the size of the lean would be a measurement of how much.

Which arrangements carry a comb, and what each one reportsThe largest comb mean in five arrangements at a rise of 0.005, all read by the same instrument at the same length, with the sampling band of 0.073 marked. Only the first is a placement rule; the other four are kinematic lattices with no rule in them, differing from one another only in how their azimuth errors are structured. Independent errors and errors with a memory leave nothing to read. A repeating error puts up a comb and names a partner that is not the lattice's. Errors inherited from the contact neighbours reproduce both the comb and the pair.three sampling bandsthe placement rule0.6428/13independent errors0.031refusedan error with a memory0.014refusedan error that repeats0.4338/10, 8/12errors passed between neighbours0.5538/13one rule, four kinematic latticesgenerated from a stated rule, not drawn to look right
Fig. 7 The five arrangements the previous phase left, which agree about every observable it could measure. The ablation separates the first from the last completely, and it separates them by a yes rather than by a number.

Which plant

The experiment needs a rise, because the prediction is a function of it: the boundary is the larger parastichy number and that number is roughly 0.9/√h. A species whose apex sits on the 5/8 rung predicts a boundary at eight, and one on the 8/13 rung predicts thirteen. Choosing a species is therefore choosing which prediction is being tested, and the choice should be made before the cutting and written down.

The coarser rungs are the better first target, and for a reason that is not about botany. At the 3/5 rung the front is five organs wide, so the whole step is eight ablations rather than sixteen, and the displacement past the boundary is under 1.4° against spacings of 65° — a control that is easy to read. At the fine end the ablations are harder to perform, the organs are more crowded, and the last offset inside the front moves the next organ by only a few degrees.

What the coarse end costs is the strength of the count: a boundary at five is a weaker signature than a boundary at thirteen, because five is a number a lot of things could produce. Doing it at two rungs on two species, and getting five and then eight, is the version of the experiment that is hard to explain any other way.

Every transition as the rise fallsThe pair climbs 1/2 → 2/3 → 3/5 → 5/8 → 8/13 → 13/21. Consecutive transitions are 0.382, 0.382, 0.383, 0.382 of the previous rise — 1/φ² is 0.3820.0.2500.5000.75011.25-2.50-2-1.50-1-0.500log₁₀ of the rise between nodes (falling to the right is the plant growing)log₁₀ of the larger parastichy number2/33/55/88/1313/21500 rises, shortest vectors recomputed at eachratio 0.3820 against 1/φ² = 0.3820
Fig. 8 Which rung a species is on decides what the prediction is. The number the experiment returns is the larger member of the pair at that rise, so the ladder is what turns “we ablated a plant” into “we tested a number stated in advance”.

What a real apex adds that the model does not have

Three confounds, and the reason to state them here is that two of them are testable within the same experiment.

The wound. Removing a primordium leaves damaged tissue, and damaged tissue is not the same as absent tissue. If a wound response — callus, altered mechanics, a burst of signalling — is what moves the next primordium, then the displacement would appear at every offset rather than only inside the front, because a wound is a wound wherever it is made. So the confound has its own control, and it is the offsets past the boundary. A displacement at fourteen and fifteen places back is evidence of wound response; the absence of one is evidence that what moved the primordium was the vacancy.

Regrowth. The neighbours of the removed organ go on growing, and on an apex the surface expands; a hole may close before the next primordium is placed. That would shrink the displacement without abolishing it, and it predicts a specific signature — the effect falls off with the plastochron, so a species with a slow plastochron would show less than one with a fast one. This is not controlled by anything in the experiment as described and would need a second species.

The plastochron itself. In the model the next organ arrives on schedule whatever has been done to the apex. On a plant the removal might delay it, or bring it forward, and a shifted plastochron changes where the organ would have gone even with no vacancy. The only defence is to record the timing as well as the position, which costs nothing and turns a confound into a measurement.

Three disturbances, three places to get inThe rule reads its neighbours, builds a profile of the energy at every azimuth, takes the least of it, and records a position. field noise enters at the profile; jostle noise enters at the neighbours; placement noise enters at the record. Two of the three are upstream of the choice and can change which minimum is taken; the third is downstream and never can.upstream of the choicethe neighboursalready placedthe profileenergy by azimuththe choicethe least of itthe recordwhat a ruler readsfield noisejostle noiseplacement noiseone rule, three entry pointsthe order is the argument
Fig. 9 The three places a disturbance can enter the rule, from the phase that separated them. A regrowing wound is a fourth, and it is the same kind of complication and the same kind of opportunity: a term the model does not have, whose presence or absence the controls can report on.

What it costs to get wrong

A specification is worth as much as its failure modes are worth, so here are the three ways this experiment could be run and produce nothing.

Ablating the wrong organ. The prediction is indexed by how many places back, and on an apex that is a judgement about the order of production. The youngest primordium is the smallest and nearest the tip, and the order runs outwards — but near the tip the size difference between consecutive primordia is small, and a mistake of one place is a mistake of one row of the answer. Since the displacement varies wildly between adjacent offsets — 168° at four places back and 29° at five — a mis-indexed ablation does not produce a wrong number so much as an uninterpretable one. The defence is to photograph the apex before the cut and index from the photograph.

Reading the answer too late. The prediction is about the next primordium. Two plastochrons later the pattern has begun to respond to its own response, and what is being measured is a mixture of the first displacement and the cascade that follows it. Both are interesting; only the first is predicted here.

Not recording the offsets past the boundary. These are the control, and the temptation is to skip them because the model says nothing happens there. If nobody cuts at fourteen and fifteen places back, then a displacement at eight is consistent with the rule and with a wound response, and the experiment has cost a term and settled nothing. Of everything in this specification, this is the item most likely to be dropped and the one that carries the most weight.

What it would not settle

It would not confirm the golden angle. Nothing here is about which angle a plant settles on; the whole experiment happens at whatever angle the plant already has. That is a feature — the site’s oldest result is that the angle is an output rather than a constant, and an intervention that assumed a value would be assuming the conclusion — but it means a successful ablation experiment leaves the divergence question exactly where it was.

It would not tell a placement rule from any other local process. The previous phase’s retraction is not undone by this. A plant whose primordium sites are decided by mechanical stress, by auxin depletion, or by any other mechanism that responds to what is present, would displace the next primordium too. What the ablation separates is processes that respond to the neighbourhood from processes that do not, which is a real and large division and is not the same as identifying the rule.

And it would not travel far from the species it was done on. One genus, one apex geometry, one plastochron. The survey the site has been asking for is expensive precisely because breadth is what it buys, and the intervention buys depth instead. They are complements, and if only one is ever done it should be this one, because it is the one whose result cannot be predicted from what is already known.

What each report rules outThe divergence axis from 20° to 180°, with the angles consistent with each reported pair marked on it. 2/3 allows 38.8° of it; 34/55 allows 0.118°, which at this scale is thinner than the line drawn for it. The golden angle is marked because every one of these bands contains it.20°60°100°137.5°180°137.51°2/338.8°5/85.5°13/210.811°34/550.118°every band contains the golden angle — what changes is how much else it containsdivergence swept 20°–180° · edges bisected38.8° down to 0.118°
Fig. 10 What a count on its own leaves undetermined, from the phase that priced it. The ablation returns a count as a by-product of a mechanism test, which is a better trade than either half alone.
The version of the claim that does survive measurementThe golden angle scores 0.4377, against 0.3306 for the best of 1500 other angles sampled. The dashed line is Hurwitz's 1/√5, which no number can exceed.00.2000.400100120140160divergence angle (°)resistance to rational approximation (higher is more irrational)1/√5 — the bound137.508° — 0.4381500 angles on a 0.05° grid, plus the golden angle exactlythis claim is sharp
Fig. 11 The claims this collection has tested and where each of them holds. The intervention is the first item on that list that requires touching a plant, and the first whose outcome nobody can guess from the arithmetic.
A cut eight back is never undoneThe divergences of a stem whose organ eight places back was removed, against the same stem uncut. It never returns. What it settles into repeats exactly every 8 organs — 47°, 96°, 137°, 273°, 138°, 271°, 230°, 272° — and holds that cycle for the whole 300-organ run, with a mean of 186° and a spread of 83°. A rule that corrects a displacement does not correct a deletion.100200300050100organs placed after the removaldivergence, in degreescycle of 8rise 0.005 · cut 8 backgenerated from a stated rule, not drawn to look right
Fig. 12 And the second measurement the same experiment yields for free: whether the shoot returns to its lattice. That one does not need to be watched within a plastochron of the cut — it is visible in the finished shoot weeks later.

Shares its objects with

Essays that name at least two of the same things, and that neither author linked.

  • The control a survey would need — both name discrimination, evidence, falsifiability, honest limits, measurement, measurement error, null model, parastichy pair, sample size, specimen, survey
  • The survey loses its second outcome — both name artefact, discrimination, evidence, falsifiability, honest limits, measurement, measurement error, null model, sample size, specimen, survey
  • A disturbance with a memory — both name artefact, discrimination, evidence, honest limits, measurement, measurement error, null model, parastichy pair, the placement rule
  • A refusal with a reason — both name discrimination, honest limits, measurement, measurement error, parastichy pair, sample size, specimen, survey
  • The band decides the answer — both name artefact, discrimination, evidence, honest limits, measurement, measurement error, sample size, specimen
  • The ratio was never about the rule — both name discrimination, evidence, falsifiability, honest limits, measurement, null model, parastichy pair, the placement rule

Named objects

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

AblationArtefactDiscriminationEvidenceFalsifiabilityHonest limitsMeasurementMeasurement errorMeristemNull modelParastichy pairThe placement ruleSample sizeSpecimenSurvey