ATS2946 Chap.5 Causation and Digital Evidence
Causation and Digital Evidence
Causal Claim
A claim that changing one factor produces or helps produce a change in another. The useful causal claim move connects this definition to a material fact, explains its mechanism and states the resulting consequence.
In assess an article that combines a platform trend, an algorithmic summary and a strong causal headline, causal claim must change the reasoning rather than appear as an isolated label.
Test causal claim against a second concept from Causation and Digital Evidence before concluding. That comparison exposes the assumptions behind causal claim, separates evidence from inference and prevents a one-sided answer.
Record the specific counter-case that would weaken causal claim and the evidence that would justify revision.
Confounder
A factor associated with both the proposed cause and outcome that can create a misleading relationship. The useful confounder move connects this definition to a material fact, explains its mechanism and states the resulting consequence.
In assess an article that combines a platform trend, an algorithmic summary and a strong causal headline, confounder must change the reasoning rather than appear as an isolated label.
Test confounder against a second concept from Causation and Digital Evidence before concluding. That comparison exposes the assumptions behind confounder, separates evidence from inference and prevents a one-sided answer.
Record the specific counter-case that would weaken confounder and the evidence that would justify revision.
Correlation
A measured association between variables that does not alone establish which factor produces change. The useful correlation move connects this definition to a material fact, explains its mechanism and states the resulting consequence.
In assess an article that combines a platform trend, an algorithmic summary and a strong causal headline, correlation must change the reasoning rather than appear as an isolated label.
Test correlation against a second concept from Causation and Digital Evidence before concluding. That comparison exposes the assumptions behind correlation, separates evidence from inference and prevents a one-sided answer.
Record the specific counter-case that would weaken correlation and the evidence that would justify revision.
Digital Evidence
Information created, selected, transformed or distributed through digital systems and requiring source and process checks. The useful digital evidence move connects this definition to a material fact, explains its mechanism and states the resulting consequence.
In assess an article that combines a platform trend, an algorithmic summary and a strong causal headline, digital evidence must change the reasoning rather than appear as an isolated label.
Test digital evidence against a second concept from Causation and Digital Evidence before concluding. That comparison exposes the assumptions behind digital evidence, separates evidence from inference and prevents a one-sided answer.
Record the specific counter-case that would weaken digital evidence and the evidence that would justify revision.
Chapter boundary
Correlation, sequence and a plausible mechanism support inquiry, but none alone eliminates selection effects or alternative causes.
Use the Causation and Digital Evidence limit as a revision tool: change one condition, reconstruct the reasoning and identify whether definition, evidence, mechanism or implementation caused the recommendation to move.
For a timed Causation and Digital Evidence response, begin with the decision and causal claim.
Apply only facts that change the result, compare a credible confounder alternative, and close within the stated boundary. This causal claim sequence makes the reasoning visible without becoming a catalogue of theories.
What this chapter covers
- 01
Causal claim
- 02
Confounder
- 03
Correlation
- 04
Digital evidence
- 05
Applied decision method
- 06
Boundary and transfer test
Apply causal claim to a changed case
- 1Define causal claim and the decision boundary.
- 1Connect the facts to confounder through a stated mechanism.
- 1Compare a credible alternative and identify its trade-off.
- 1Recommend an actor, action and review trigger.
Key terms
- Causal claim
- A claim that changing one factor produces or helps produce a change in another. Use it by tying each element to a fact and a consequence in the chapter problem.
- Confounder
- A factor associated with both the proposed cause and outcome that can create a misleading relationship. Use it by tying each element to a fact and a consequence in the chapter problem.
- Correlation
- A measured association between variables that does not alone establish which factor produces change. Use it by tying each element to a fact and a consequence in the chapter problem.
Causation and Digital Evidence FAQ
Where does causal claim enter the argument?
Locate the claim that needs support, then apply this meaning: A claim that changing one factor produces or helps produce a change in another. Reconstruct the missing inferential link and test it against this limit before accepting the conclusion: Correlation, sequence and a plausible mechanism support inquiry, but none alone eliminates selection effects or alternative causes.
Why keep causal claim separate from confounder?
Keep the two roles visible. Causal claim supplies one analytical test, while confounder means that A factor associated with both the proposed cause and outcome that can create a misleading relationship. State which premise each concept evaluates and whether either one changes the strength of support.
What would make the correlation support unacceptable?
Reverse the strongest fact in the chapter application—assess an article that combines a platform trend, an algorithmic summary and a strong causal headline—and trace the effect through correlation. The judgement should change only when that evidence alters a defined element, the causal link, or the stated boundary.
Can digital evidence change the argument's ultimate conclusion?
Use digital evidence as a final constraint, not a decorative heading. Its relevant meaning is: Information created, selected, transformed or distributed through digital systems and requiring source and process checks. State the consequence it supports, the uncertainty that remains, and the condition that would require a revised conclusion.
Assessment move
Retrieve causal claim, confounder, correlation, digital evidence without notes, apply them to a changed version of the chapter case, and repair the first step that violates this limit: Correlation, sequence and a plausible mechanism support inquiry, but none alone eliminates selection effects or alternative causes.
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