VIEW THIS AS

Auto mode follows the Route Engine until you choose a viewpoint.

YOU ARE HERE

ROUTE CHECK

CONNECTED TO

WHAT NEXT

Use the canonical route for this room, or HELP if you are unsure.

The Gold Standard of X-ray Crystallography | Separating Reflection Completeness from Measurement Redundancy

Reflection completeness asks what fraction of expected unique reflections in a defined reciprocal-space and resolution region were measured. Redundancy or multiplicity asks how many observations contribute per unique reflection. Repeating the same subset can increase redundancy without filling missing regions, while one observation of nearly every unique reflection can be complete but weakly redundant.

This guide develops one focused reader question within the X-ray Crystallography subject guide. It adds a complete mechanism, original worked decisions, changed-context transfer checks and explicit limits. Read it with The Gold Standard of Education | Learning That Transfers into Life and the How X Works.

All numerical examples are invented teaching cases. They are not operational measurements, production records, financial advice, conservation findings or compliance results.

A fictional resolution shell contains 1,000 expected unique reflections. Dataset A records 900 unique reflections through 3,600 observations: completeness is 90% and mean multiplicity is 4.0. Dataset B records 970 unique reflections through 1,940 observations: completeness is 97% and mean multiplicity is 2.0. A has more measurements and higher redundancy but less coverage. The IUCr structural-communication criteria request unique reflections, completeness and redundancy separately; IUCr serial-crystallography guidance likewise explains why completeness and redundancy answer different quality questions.

Continue with Separating Friedel-Pair Differences from Ordinary Symmetry Equivalence, Separating Systematic Absence from an Unobserved Weak Reflection and the X-ray Crystallography root.

The short answer is to keep the target quantity, observation and reporting rule separate. Name what the system intends to estimate, what was actually observed, how the summary was formed and which conditions make the inference defensible. If one field is missing, keep the ambiguity visible.

eduKateSG · X-ray Crystallography

Find your next learning step

Reflection completeness asks what fraction of expected unique reflections in a defined reciprocal-space and resolution region were measured. Redundancy or multiplicity asks how many observations contribute per unique reflection. Repeating the same subset can increase redundancy without filling missing regions, while one observation of nearly every unique reflection can be complete but weakly redundant.

ROUTE 1 · CHAPTERS 1–5

Frame the question

Define objects, rules and the evidence ledger.

ROUTE 2 · CHAPTERS 6–10

Work the example

Calculate the central case and protect its conditions.

ROUTE 3 · CHAPTERS 11–14

Check the evidence

Use independent checks and fair comparisons.

ROUTE 4 · CHAPTERS 15–18

Transfer the method

Test rivals and changed contexts.

ROUTE 5 · CHAPTERS 19–22

Audit and continue

Repair claims and follow verified routes.

Full chapter contents · X-ray Crystallography subject guide

Chapter contents

Frame the question · Chapters 1–5

1. Define the reader question

2. Separate the two target quantities

3. Name the observation rule

4. Protect the denominator and boundary

5. Build the fictional evidence ledger

Work the example · Chapters 6–10

6. Work the central calculation

7. Check units before interpretation

8. Keep method settings visible

9. Locate the usable range

10. Recognise saturation and censoring

Check the evidence · Chapters 11–14

11. Use controls that can fail differently

12. Carry uncertainty into the claim

13. Separate mechanism from appearance

14. Compare like with like

Transfer the method · Chapters 15–18

15. Test a rival explanation

16. Change one consequential condition

17. Recalculate the changed case

18. State what the result establishes

Audit and continue · Chapters 19–22

19. State what it cannot establish

20. Repair an overconfident sentence

21. Answer focused reader questions

22. Continue through verified routes

CHAPTER 1 OF 22 · Frame the question

1. Define the reader question

Back to contents

Ask whether the concern is reciprocal-space coverage, repeated observation, signal precision or resolution-shell quality.

Write an evidence ledger before calculating: target quantity, object, unit, boundary, observation rule, transformation and decision limit. Mark every input as observed, stipulated, fitted or assumed.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “define the reader question”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Next chapter

CHAPTER 2 OF 22 · Frame the question

2. Separate the two target quantities

Back to contents

Completeness uses observed unique over expected unique; multiplicity uses observations over observed unique under a stated convention.

Draw the mechanism in order. Separate the underlying state, the measurement, the mathematical summary and the claim. Then name one rival explanation and the additional observation that could distinguish it.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “separate the two target quantities”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 3 OF 22 · Frame the question

3. Name the observation rule

Back to contents

Name symmetry, Friedel merge policy, resolution range, expected set, observed criterion and shell boundaries.

Keep the comparison fair by holding the specimen, interval, protocol and denominator constant. If one changes, state that the new number answers a different question even when the label looks familiar.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “name the observation rule”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 4 OF 22 · Frame the question

4. Protect the denominator and boundary

Back to contents

Preserve total observations, unique accepted reflections, rejected records, overloads and missing wedges.

Use two checks that can fail differently: reconstruct a total, test a limiting case, repeat the result from definitions or inspect a shared control. Two calculations that reuse one assumption are only one check.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “protect the denominator and boundary”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 5 OF 22 · Frame the question

5. Build the fictional evidence ledger

Back to contents

Build Dataset A with 900 of 1000 unique and 3600 observations; Dataset B with 970 and 1940.

Separate measurement from decision. A correct number can still be too local, uncertain or method-dependent for the intended action. Report it with its conditions and say what stronger evidence would be needed.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “build the fictional evidence ledger”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 6 OF 22 · Work the example

6. Work the central calculation

Back to contents

A is 90% complete with multiplicity 4; B is 97% complete with multiplicity 2.

DatasetUnique observedTotal observationsCompletenessMultiplicity
A900360090%4.0
B970194097%2.0
Fictional teaching evidence. The quantities answer different questions.

Preserve identity and order. Equal totals can hide different mechanisms when records come from different specimens, resources, homes or viewing geometries. Aggregate only after the question no longer depends on that identity.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “work the central calculation”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 7 OF 22 · Work the example

7. Check units before interpretation

Back to contents

Counts, percentages and resolution units are different. Preserve shell-specific denominators.

Run a changed-context transfer check. Change one consequential condition while holding the remaining basis fixed, calculate again and explain why the result moves or stays stable.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “check units before interpretation”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 8 OF 22 · Work the example

8. Keep method settings visible

Back to contents

Changing symmetry or whether Friedel mates are separate changes the expected unique set and the statistics.

Put the boundary of inference beside the answer. Name the system, representation and interval to which the result applies, then name the nearest tempting conclusion the evidence does not establish.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “keep method settings visible”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 9 OF 22 · Work the example

9. Locate the usable range

Back to contents

A usable report shows overall and outer-shell values because high-resolution coverage can differ sharply.

Use uncertainty as structure. Vary the input most capable of changing the conclusion over a defensible range and show whether the ranking or interpretation changes.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “locate the usable range”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 10 OF 22 · Work the example

10. Recognise saturation and censoring

Back to contents

Many repeated images of one orientation can raise observations without closing a missing reciprocal-space wedge.

Finish with a reproducible evidence package: source records, definitions, exclusions, calculations, validation result and revision rule.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “recognise saturation and censoring”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 11 OF 22 · Check the evidence

11. Use controls that can fail differently

Back to contents

Check orientation distribution, shell tables, merge logs and unique-index maps as complementary evidence.

Write an evidence ledger before calculating: target quantity, object, unit, boundary, observation rule, transformation and decision limit. Mark every input as observed, stipulated, fitted or assumed.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “use controls that can fail differently”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 12 OF 22 · Check the evidence

12. Carry uncertainty into the claim

Back to contents

Carry rejected and censored observations into provenance; a clean summary can hide why coverage is missing.

Draw the mechanism in order. Separate the underlying state, the measurement, the mathematical summary and the claim. Then name one rival explanation and the additional observation that could distinguish it.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “carry uncertainty into the claim”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 13 OF 22 · Check the evidence

13. Separate mechanism from appearance

Back to contents

Completeness and redundancy affect inference through different mechanisms and neither alone guarantees good data.

Keep the comparison fair by holding the specimen, interval, protocol and denominator constant. If one changes, state that the new number answers a different question even when the label looks familiar.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “separate mechanism from appearance”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 14 OF 22 · Check the evidence

14. Compare like with like

Back to contents

Compare datasets only with aligned symmetry, resolution, observation threshold and merge policy.

Use two checks that can fail differently: reconstruct a total, test a limiting case, repeat the result from definitions or inspect a shared control. Two calculations that reuse one assumption are only one check.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “compare like with like”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 15 OF 22 · Transfer the method

15. Test a rival explanation

Back to contents

Test the rival explanation that high redundancy comes from duplicated processing rather than independent measurements.

Separate measurement from decision. A correct number can still be too local, uncertain or method-dependent for the intended action. Report it with its conditions and say what stronger evidence would be needed.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “test a rival explanation”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 16 OF 22 · Transfer the method

16. Change one consequential condition

Back to contents

Add 700 new observations only to already-seen reflections in Dataset A. Multiplicity rises, completeness stays 90%.

Preserve identity and order. Equal totals can hide different mechanisms when records come from different specimens, resources, homes or viewing geometries. Aggregate only after the question no longer depends on that identity.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “change one consequential condition”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 17 OF 22 · Transfer the method

17. Recalculate the changed case

Back to contents

Instead measure the missing 70 unique reflections once. Completeness rises to 97% with a smaller observation increase.

Run a changed-context transfer check. Change one consequential condition while holding the remaining basis fixed, calculate again and explain why the result moves or stays stable.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “recalculate the changed case”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 18 OF 22 · Transfer the method

18. State what the result establishes

Back to contents

The example establishes the arithmetic and the different levers controlling the two statistics.

Put the boundary of inference beside the answer. Name the system, representation and interval to which the result applies, then name the nearest tempting conclusion the evidence does not establish.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “state what the result establishes”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 19 OF 22 · Audit and continue

19. State what it cannot establish

Back to contents

It does not define universal acceptance cutoffs, validate a structure or replace resolution-specific diagnostics.

Use uncertainty as structure. Vary the input most capable of changing the conclusion over a defensible range and show whether the ranking or interpretation changes.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “state what it cannot establish”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 20 OF 22 · Audit and continue

20. Repair an overconfident sentence

Back to contents

Replace “A has more data, so it is more complete” with its unique coverage and observation multiplicity.

Finish with a reproducible evidence package: source records, definitions, exclusions, calculations, validation result and revision rule.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “repair an overconfident sentence”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 21 OF 22 · Audit and continue

21. Answer focused reader questions

Back to contents

Can completeness exceed 100%? Not under a consistent expected-set definition.

Is redundancy always helpful? It can improve estimates, but repeated bias is still bias.

Why report outer shells? Coverage often changes with resolution.

Write an evidence ledger before calculating: target quantity, object, unit, boundary, observation rule, transformation and decision limit. Mark every input as observed, stipulated, fitted or assumed.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “answer focused reader questions”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Next chapter

CHAPTER 22 OF 22 · Audit and continue

22. Continue through verified routes

Back to contents

Use IUCr tables, preserve the expected-set definition and inspect missing regions before collecting more of the same orientation.

Draw the mechanism in order. Separate the underlying state, the measurement, the mathematical summary and the claim. Then name one rival explanation and the additional observation that could distinguish it.

Apply the rule to the central fictional case with unrounded inputs, then label the result with its object, unit and protocol. Name one alternative explanation and the observation that would distinguish it.

For X-ray Crystallography, complete seven fields: target, object, unit, boundary, protocol, result and limit. For “continue through verified routes”, a plausible number can otherwise hide a changed definition or undocumented condition.

Change one condition that matters while holding the remaining basis fixed. Recalculate or re-inspect the evidence, state what stays comparable and name the stronger conclusion that still does not follow.

Close with two lines. The first states what the evidence establishes under the named conditions. The second states the nearest tempting conclusion that remains unsupported. Ask another reader to identify the condition that would make the first line false.

Evidence check: preserve the raw observation, the transformation, the comparison rule and the failed alternatives in one audit note. A future reader should be able to reproduce the narrow result without guessing which conditions were held constant.

Contents · Previous chapter · Return to X-ray Crystallography