Cause and Effect — Inferences and Generalisations

1

From Observation to Inference

Telling what you see apart from what you conclude

›

2

Inference on Country: First Nations Knowledge

Reading the land as an empirical knowledge system

›

3

Primary Data and Collaborative Investigation

Collecting first-hand data and reasoning from it as a team

›

4

Using Secondary-Sourced Data

Building and checking inferences with other people's data

›

5

Recognising Patterns in Nature and the Universe

From repeated observations to testable hypotheses

›

6

Pattern Traps: Pareidolia and Outliers

When the mind sees patterns that are not there

›

7

Testing Long-Standing Assumptions

How decisive tests overturn ideas everyone once accepted

›

8

Designing a Test of an Assumption

From 'everyone knows' to a fair, testable investigation

›

9

Generalisations and Conclusions

Describing trends without over-reaching

›

10

Peer Review and Collaboration

The self-correcting community — and its blind spots

›

11

Module 2 Review: Inferences and Generalisations

Tying the whole module together

›