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B2–C1 · CDG · 5 patterns

Causal diagnosis

Separate triggers from causes, compare mechanisms, and diagnose causal structure without treating sequence as proof.

01 · How to use this set

Start from the communication job

Separate triggers from causes, compare mechanisms, and diagnose causal structure without treating sequence as proof.

Read the frame, try to complete your own sentence before opening an example, then compare the English structure with its German parallel. The point is retrieval and choice, not passive list reading.

02 · Representative patterns

Start with these reusable frames

A compact sample from the 5 patterns in this study set.

01[X] may have triggered [Y], but that does not make it the underlying causeThe release may have triggered the incident, but that does not make it the underlying cause. · German parallel: [X] kann [Y] ausgelöst haben, ist damit aber nicht automatisch die zugrunde liegende Ursache.02If [X] were the main cause, we would expect [Y]; if [Z] were, we would expect [A]If load were the main cause, we would expect failures across regions; if mapping were, we would expect them around the same field. · German parallel: Wenn [X] die Hauptursache wäre, würden wir [Y] erwarten; wenn es [Z] wäre, würden wir [W] erwarten.03The link from [X] to [Y] only makes sense if [Z] happens in betweenThe link from missing ownership to slower resolution only makes sense if decisions are delayed in between. · German parallel: Der Zusammenhang zwischen [X] und [Y] ergibt nur Sinn, wenn dazwischen [Z] passiert.04[X] may be necessary for [Y], but it is not sufficient on its ownAccess may be necessary for adoption, but it is not sufficient on its own. · German parallel: [X] kann für [Y] notwendig sein, ist allein aber nicht hinreichend.05What changed before [X], and what stayed the same?What changed before the failure rate increased, and what stayed the same? · German parallel: Was hat sich vor [X] verändert, und was ist gleich geblieben?

03 · Complete set

Browse every pattern

The canonical list follows below. Every pattern has a stable ID and its own page for examples, translation, and reuse.

01[X] may have triggered [Y], but that does not make it the underlying causeXTHCDG001 · [X] may have triggered [Y], but that does not make it the underlying cause. / [X] kann [Y] ausgelöst haben, ist damit aber nicht automatisch die zugrunde liegende Ursache.02If [X] were the main cause, we would expect [Y]; if [Z] were, we would expect [A]XTHCDG002 · If [X] were the main cause, we would expect [Y]; if [Z] were, we would expect [W]. / Wenn [X] die Hauptursache wäre, würden wir [Y] erwarten; wenn es [Z] wäre, würden wir [W] erwarten.03The link from [X] to [Y] only makes sense if [Z] happens in betweenXTHCDG003 · The link from [X] to [Y] only makes sense if [Z] happens in between. / Der Zusammenhang zwischen [X] und [Y] ergibt nur Sinn, wenn dazwischen [Z] passiert.04[X] may be necessary for [Y], but it is not sufficient on its ownXTHCDG004 · [X] may be necessary for [Y], but it is not sufficient on its own. / [X] kann für [Y] notwendig sein, ist allein aber nicht hinreichend.05What changed before [X], and what stayed the same?XTHCDG005 · What changed before [X], and what stayed the same? / Was hat sich vor [X] verändert, und was ist gleich geblieben?

04 · Continue

C1 Control

A useful next step from the same learning path.

01Hypothesis testingTurn explanations into testable predictions, seek discriminating evidence, and revise claims when the data require it.02Metacognitive learningNotice what you recognise but cannot recall, diagnose recurring errors, and convert feedback into the next practice target.03Professional communicationWrite and speak clearly at work.04Storytelling and reflectionNarrate events and draw a lesson from them.

Continue learning

Choose the next useful route.

Pattern PracticeFind a pattern you can reuseContinue through a canonical Metkagram learning surface already linked from this page.Pattern Atlas[X] may have triggered [Y], but that does not make it the underlying causeContinue through a canonical Metkagram learning surface already linked from this page.Pattern AtlasIf [X] were the main cause, we would expect [Y]; if [Z] were, we would expect [A]Continue through a canonical Metkagram learning surface already linked from this page.