Category: Science
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PSLE Science Reality Lab Vol No.254 | “The Hindcast Matched the Past” — Does That Prove the Forecast Will Be Right?
A massive student-facing PSLE Science Reality Lab guide on how to read hindcast evidence without turning historical model skill into a guarantee that a future forecast will be correct.
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PSLE Science Reality Lab Vol No.253 | “Cycle Life = 500 Cycles” — Does the Battery Die on Cycle 501?
A massive PSLE Science Reality Lab guide for Primary 5/6 learners on battery cycle-life claims: why “500 cycles” is a test result tied to defined cycling conditions and an end-of-life criterion, not a countdown that makes a battery die on cycle 501.
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PSLE Science Reality Lab Vol No.252 | “Cpk = 1.33” — Does One Number Guarantee Every Product Meets the Limits?
A massive PSLE Science Reality Lab guide for Primary 5/6 learners on Cpk: why a process-capability index compares a stable process distribution with specification limits but does not act as a percentage quality score or guarantee that every product passes.
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PSLE Science Reality Lab Vol No.251 | “2-Hour Fire-Resistance Rating” — Will the Assembly Always Last Two Hours in a Real Fire?
A massive PSLE Science Reality Lab guide for Primary 5/6 learners on fire-resistance ratings: why a 2-hour rating is a standard-test result for a defined assembly and not a universal stopwatch guarantee for every real fire.
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PSLE Science Reality Lab Vol No.250 | “Air Sensor Says PM2.5 = 40” — Is That the Same as a Regulatory Monitor Reading?
A massive PSLE Science Reality Lab guide for Primary 5/6 learners on air-sensor evidence: why a compact PM2.5 sensor can be scientifically useful without being automatically equivalent to a regulatory reference monitor, and how location, time, humidity, correction and performance testing change what the reading can support.
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PSLE Science Reality Lab Vol No.249 | “Correlation r = 0.80” — Does That Prove One Variable Causes the Other?
A massive PSLE Science Reality Lab guide for Primary 5/6 learners on correlation claims: why r = 0.80 can show a strong linear association without proving causation, 80% accuracy or one causal direction, and what additional evidence can strengthen a causal explanation.