| Home > Guides > Missing Samples in a Core Temp Log: Avoid False Temperature Conclusions Missing Samples in a Core Temp Log: Avoid False Temperature ConclusionsIdentify logging gaps, session interruptions and unequal sampling before calculating or comparing temperature summaries. Direct answer: A gap is missing evidence, not evidence that the CPU stayed cool. Check timestamps and session events before interpreting averages or apparent temperature improvements. By ALCPU.org editorial resource · Published 2026-10-05 · Documentation reviewed 2026-10-05 On this page
Inspect the timeline before the numbersOpen a copy of the log and inspect its time coverage. Preserve the original file unchanged. Record the intended session start and end, then compare those with the available entries. Check whether sleep, an application restart or a stopped logging session could explain the gap. Do not fill missing records with the last value merely to make the graph look continuous. That substitutes an assumption for an observation. Sampling and duration affect summariesIf samples are unevenly spaced, a simple average of rows is not automatically a time-weighted average. If a high-load section was not recorded, the available rows cannot establish the whole task's thermal behavior. Likewise, a short log and a complete long run are not equivalent evidence. Mark the sections with sufficient coverage and keep conclusions limited to them. Do not treat an empty interval as zero temperature. Connect gaps to system eventsKeep notes of sleep, wake, reboot, workload starts and manual logging changes. Check whether the main application reading also stopped updating or whether only the recorded output is incomplete. Those are different failures. If the display remained responsive but no file appeared, verify the selected location and permissions. If readings froze after a system transition, use the existing sleep or sensor troubleshooting guide and check release notes. Work with copies when analyzingUse a duplicate file for sorting, filtering or spreadsheet import. Check that timestamps and numeric fields were interpreted correctly and preserve the timezone when it matters. Some import tools can change date formats or interpret a value as text. Document any rows you exclude and why. Keeping the original allows a support contact to inspect the exact evidence rather than a cleaned file with unexplained omissions. When a new session is the better answerIf the gap covers the critical part of the workload, repeat the ordinary task after resolving the recording issue rather than extrapolating from surrounding values. Keep the previous session labeled incomplete. A repeated run can improve evidence but does not recreate the exact earlier state. If the original event involved instability or shutdown, prioritize the symptom and do not repeatedly stress the machine just to produce a complete chart. Practical checklist
Observation worksheet
Questions and answersCan I fill gaps with the previous reading?You can label an explicit visualization assumption, but it is not a measured sample and should not support a safety claim. Does a lower average from an incomplete log prove improvement?No. Missing workload intervals can bias the summary. Sources and verification status
Source pages reviewed on 2026-10-05. This is documentation-based guidance and a proposed observation method. No Windows hardware test, independent performance measurement or verification of the FileDrop payload was performed for this edition. Examples are illustrative. Read the full verification method. Related readingPackage information · All Core Temp guides Focused next step: Prepare a Useful CPU Temperature Support Report with Core Temp |