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Michael Harlan Search Trend — Harland Spelling

Google Trends screenshot for the search term Michael Harlan in the Washington DC Hagerstown market

What This Image Shows​

This Google Trends screenshot charts the search term Michael Harlan filtered to the Washington DC (Hagerstown MD) market over a 12-month period spanning late 2024 to late 2025. The line remains completely flat at zero for almost the entire duration, broken only by two highly isolated sharp spikes reaching peak interest of 100.

The deck's annotated version labels the two peaks at December 1-7, 2024 and August 24-30, 2025. This is the name the deck attaches to its unsourced crew claim, listing "Michael Harlan - Pilot in Command" and, on one slide, adding "Raytheon." No manifest, employer statement, or regulatory filing supports that assignment, and the slide itself marks it with a question mark.

Google Trends normalizes every chart to a 0-100 scale, so a spike built from a handful of searches is drawn exactly the same as one built from thousands. The tool reports no searcher identity, no IP address, and no reason for a search. Common names collect unrelated traffic from unrelated people. A country or metro filter tells you where queries originated, not who made them or what they were looking for.

This capture is filed under the spelling Michael Harland while the chart itself queries "Michael Harlan." The deck carries both spellings, which is a reminder that the whole exercise depends on guessing the right string. A chart of one spelling says nothing about a person who uses another.

No person named in this cluster has been charged with or accused of any offense, and no agency has confirmed a link between any of these names and any intelligence service. The chart is one researcher's exhibit, not a finding.

This chart is one of fifteen in the N1098L NCSS CIA sub-cluster, and the same names appear inside the annotated deck in VIDEO Drones CIA Israel. For the written analysis see Israel IP search patterns, Israeli search-pattern claims, and trends deletion and suppression.

More In This Cluster​