Category: PSLE Primary Science
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PSLE Science Reality Lab Vol No.073 | “Both Lines Start at 100” — Were Their Real Starting Values the Same?
A Primary 5/6 Reality Lab guide to charts that rebase different measurements to 100. Learn to separate relative change from original absolute level, recover the base period and avoid reading equal index values as equal real quantities.
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PSLE Science Reality Lab Vol No.072 | “Removes 99%” — 99% of What Was There at the Start, and What Is Left?
A Primary 5/6 Reality Lab guide to percentage-removal claims: identify the starting quantity, match before-and-after measurements, calculate what remains, inspect test conditions and avoid confusing a high percentage with zero remaining.
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PSLE Science Reality Lab Vol No.071 | “Tested for 10,000 Cycles” — Does an Accelerated Test Prove Years of Normal Use?
A Primary 5/6 Reality Lab guide to accelerated durability claims: how to separate test cycles from ordinary-use lifetime, inspect added stresses, compare failure modes and decide how far a laboratory result can travel.
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PSLE Science Reality Lab Vol No.070 | “Three Sensors Agree” — Can They All Share the Same Bias?
A Primary 5/6 Reality Lab guide to a subtle evidence trap: several sensors can agree closely and still share the same measurement bias. Learn how to check agreement, references, calibration and shared conditions before treating consensus as correctness.
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PSLE Science Reality Lab Vol No.069 | “This Time-Lapse Shows Fast Change” — Did the Video Speed Change the Apparent Rate?
A massive Primary 5/6 Reality Lab guide to time-lapse evidence: how to separate real elapsed time, frame interval and playback duration so a sped-up scientific video does not become a false claim about how quickly the process happened.
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PSLE Science Reality Lab Vol No.068 | “The Result Is Robust” — Did It Survive Other Reasonable Ways of Analysing the Same Data?
A massive Primary 5/6 Reality Lab guide to robustness claims: how to ask whether a scientific conclusion survives other reasonable ways of analysing the same data, without confusing robustness with reproducibility or independent replication.
