What are you seeing?It is the memory of the case: what happened, when it happened, and what you observed at each moment.
Why it mattersWithout memory, it's easy to believe that something worked just because you saw it once and never compared again.
How to think about itStart with the big ideas: review the date/moment first, and then the specific observation of that moment.
Very simple exampleA photo from today tells how the plant is today; several observations ordered in time show whether it really changed.
What are you seeing?The time series allows comparison of baseline state, intervention or event, latency, trend, and possible confounding factors.
Why it mattersConnecting these signals avoids concluding that something "worked" from a single isolated observation, without prior comparison.
How to think about itReview date/time, observation, comparison to previous, and the origin of the data — not just the most recent data.
Very simple exampleA visible improvement right after a change may be due to another (confounding) factor that occurred at the same time, not the change itself.
What are you seeing?The advanced reading distinguishes baseline state of intervention, and separates real trend from noise or specific coincidence.
Why it mattersA conclusion about “what worked” should be traceable to an entire time series, not a single data point.
How to think about itDistinguish variable, mechanism, interaction, uncertainty, limitation, and what possible confounder could explain the same change.
Very simple exampleThe latency between an intervention and its visible effect can be days — judging “too soon” can lead to a false conclusion.