Learn / Correlation vs Causation
Correlation vs causation
After does not necessarily mean because of
A symptom appearing after a medicine begins is important information. It does not, by itself, establish that the medicine caused the symptom. This is the site’s foundational distinction.
Happened after does not automatically mean happened because of. If this site has a house rule, that is it. The rule is not a way of talking people out of their experience. It is a way of stopping experience from being stolen by a conclusion that the data cannot carry.
Questions that preserve sequence
- Temporal association — did it happen afterwards?
- Dose response — did it change when the dose changed?
- Dechallenge — did it improve when exposure stopped or reduced?
- Rechallenge — did it recur if exposure resumed?
- Baseline — was it already present?
- Confounding — what else changed?
None of these automatically proves causality in an individual. Together they make a better conversation than “the tablet did this” or “the tablet did nothing”.
Confounders that get forgotten on purpose
- Another medicine, or a reduction of another medicine.
- Sleep.
- Stress, illness, substance use, hormonal change.
- The underlying condition returning, or being noticed properly for the first time.
- Previous symptom history.
- Environmental events.
- Chance.
Words that are not interchangeable
- Report — someone described an event.
- Proportion — a count over a known group.
- Incidence — new events in a defined population over time.
- Association — a statistical relationship.
- Causality — a claim that one thing produced another.
1 · Statement
An adverse-event report to the TGA documents a suspected relationship. It does not prove that a medicine caused an event, and DAEN counts are not incidence rates.
2 · Classification
Established. This is how spontaneous pharmacovigilance systems are defined by the regulator.
3 · Papers
4 · Claim limitation
Under-reporting, missing denominators, and confounding are structural.
Last reviewed
1 September 2026
We are not asking science to be thrown out. We are asking for the evidence loop to include the life it is about.
Sources used on this page
- Moran LV, Ongur D, Hsu J, Castro VM, Perlis RH, Schneeweiss S (2019). Psychosis with Methylphenidate or Amphetamine in Patients with ADHD.
- Therapeutic Goods Administration (2026). Database of Adverse Event Notifications (DAEN).
- Henssler J, Schmidt Y, Schmidt U, Schwarzer G, Bschor T, Baethge C (2024). Incidence of antidepressant discontinuation symptoms: a systematic review and meta-analysis.
- Davies J, Read J (2019). A systematic review into the incidence, severity and duration of antidepressant withdrawal effects: Are guidelines evidence-based?.
Paradoxical.life provides evidence and self-documentation tools, not medical advice. If you have concerns about your health, medication or mental state, speak with a qualified medical practitioner.