MisleadingCharts
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The resignation wave that was measured from the bottom of the hole

Showing the misleading chart

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A retention briefing we drew from BLS data indexes US monthly quits to April 2020 = 100 and finds them still 54% above base six years on. April 2020 is the first month on the chart, which is where the textbook says to put the base, and it is the lowest month for quits in seven and a half years. Against the 2019 average, the same August 2026 reading is 13% down, and quits have been below that average for 33 months running.

01The claim

Six years after the pandemic shutdowns, Americans are still quitting their jobs at a pace well above normal, so retention budgets should stay where they were at the height of the Great Resignation.

02The trick

Nothing on the slide is bent. Every month is plotted, nothing is smoothed, and the index is calculated correctly. The base even follows the textbook advice, sitting at the start of the window so that “above” always means “grew since then”. The catch is which month the window starts on. Rebasing divides the whole line by its value in one month, and the usual habit of basing at the first month plotted ties the two choices together: choosing where the chart starts also chooses the 100. This chart starts in April 2020, the month the pandemic shutdowns cut quits by a third in four weeks. That month 1.99 million quits were recorded, the fewest since September 2012 and 43% below 2019’s average of 3.51 million a month. Dividing by the bottom of a collapse makes everything after it look high. August 2026’s 3.07 million quits come out at 154, and the slide reads that as “still 54% above base”, which is arithmetically true and says nothing about whether quitting is unusually common. The index has no level on it, so the one comparison that would answer the question, now against before, never appears. The read-out does the rest: “the wave has crested but not broken” is a sentence about the divisor. (The briefing, the people team and the recommendation are our invention; every number is the Bureau of Labor Statistics’.)

03The fix

Draw it as actual quits, over the whole published series, and the briefing’s window turns out to be a short stretch that starts at the bottom of the plunge. The only months since 2000 with fewer quits fall in the long slump after the 2008 crash, which bottomed at 1.56 million in August 2009. The 2021–22 surge is real: quits reached 4.50 million in April 2022, the series high, with a quits rate of 3.0% of employment. But the line had dropped below its 2019 average by December 2023 and has stayed there for 33 straight months. August 2026 is 3.07 million, a rate of 1.9%, against 3.51 million and 2.3% in 2019. As a rate, which allows for a bigger workforce, 1.9% is below even December 2000’s 2.2%. As an index, that one August reading is 154 based on April 2020, 106 based on December 2000, 87 based on the 2019 average and 68 based on the April 2022 peak. The month in the divisor decides whether the same number reads as a surge or a slump. When a chart is indexed, put the base in the caption and choose it for a reason you could give before seeing the line. “The last normal year” is a reason; “the first month in the export” is not. Then keep one fact in words that no base can move: “3.07 million quits in August 2026, against 3.51 million a month in 2019”.