Another week of daily play is in the books, and as a retired professor who loves observing language in the wild, I spent some time reviewing last week's Wordle words and their Google Trends obscurity spikes. There is an endearing rhythm to the data: after players wrestle with a difficult challenge and navigate an awkward letter jumble, they inevitably flock to Google to search for the unfamiliar solution and see what it actually means.

About this chart. Each line is one Wordle answer’s search interest in the United States over the past seven days (Google Trends “Interest over time”). Values are on Google’s 0–100 scale, so you can compare how often people searched each word relative to the others this week.
How the Spike % is calculated. For each word we take the quietest day in that window (the lowest point on its line) as its usual level for the week, and the busiest day (the highest point) as the peak. The spike is the percentage increase from that low to that high: (peak − low) ÷ max(low, 1) × 100. If the week’s low is zero, we divide by 1 instead of 0 so the spike still measures how much interest rose from the floor to the peak. A larger spike means searches jumped more sharply when that word was the daily answer.
This week’s words
| Date | Word | Spike | Meaning |
|---|---|---|---|
| Sun, Aug 30 | INTEL | +85% | (n. pl. INTELS) Secret information, especially about an enemy or competitor. (n. pl. INTELS) The gathering or distribution of secret information. |
| Mon, Aug 31 | MOUND | +67% | (n. pl. mounds) A rounded pile or heap, especially of earth or stones. (v.) To form into a rounded pile or heap; to pile up. |
| Tue, Sep 1 | REMIX | +47% | (v.) To mix something again. (v.) To create a new version of a song, video, or other media by altering or combining existing elements. (n. pl. REMIXES) A new version of a song, video, or other media c |
| Wed, Sep 2 | RULER | +68% | (n. pl. rulers) A person who governs or controls. (n. pl. rulers) A flat, straight strip used for measuring or drawing straight lines. |
| Thu, Sep 3 | JOIST | +2550% | (n. pl. joists) A horizontal timber or beam supporting a floor or ceiling. (v.) To provide or support with joists. |
| Fri, Sep 4 | WAGER | +300% | (v.) To risk something on an uncertain outcome; to bet. (n. pl. wagers) A bet; something risked on an uncertain outcome. |
| Sat, Sep 5 | SOUPY | +1100% | (adj. SOUPIER, SOUPIEST) Having the consistency of soup; very liquid or mushy. (adj. SOUPIER, SOUPIEST) Thick and dense, like a fog or mist; unclear. (adj. SOUPIER, SOUPIEST) Excessively sentimental o |
Obscurity winner
Analyzing search interest across the country reveals that JOIST took top honors by a wide margin this round. Construction terms routinely baffle solvers, and here the metric bears it out: search traffic rocketed by approximately 2550%, climbing from an unassuming baseline of roughly 6 up to a peak near 159 on the day it anchored the puzzle grid. Our runner-up, SOUPY, managed an impressive 1100% spike, though its dramatic percentage owed a great deal to an ultra-quiet baseline near 1.
As an aside for those who enjoy a good anagram scramble, a few of this week's picks lend themselves nicely to rearrangement: intel easily converts into inlet, while remix can be reshuffled into the kitchen staple mixer.
View these words on Google Trends (US, last 7 days)
The top 5 most obscure words used in Wordle, since I started doing this March 1, 2026, are still BLOOD (+210600%), SHILL (+150000%), LORRY (+145000%), OVATE (+110000%), PIZZA (+103300%).
Word game sentence
The building inspector wagered that the ruling board's intelligence report had overlooked structural rot in the attic joists, where mounded insulation had liquefied into a soupy, remixed paste after the downpour.
Conjoining rigid architectural vocabulary like joists with an informal texture descriptor like soupy produces an unusual semantic contrast, but the sentence holds together with natural narrative cohesion. That delicate interplay between technical terms and everyday vernacular is what keeps this game such an engaging morning ritual.
For Math Nerds
What this section is for. It documents exactly how each week’s spike numbers were computed from the scaled Google Trends series, so curious readers can verify the arithmetic.
Trends window. We request a custom date range 2026-08-29 2026-09-06 (US), which is the Wordle week plus one day before and after so the chart has a little context on each side. The anchor keyword for cross-request scaling is INTEL (the first day’s answer, in chronological order).
Scaling across separate requests. Google Trends only returns relative 0–100 values within one request. We fetch each answer in its own request paired with that anchor, then rescale each day so the anchor’s curve matches the anchor series from the first request. Concretely: scaledword(d) = rawword(d) × base_anchor(d) / rawanchor(d) when rawanchor(d) > 0, else 0.
Spike % for one word. Let L be the minimum and H the maximum of that word’s scaled daily values over the window (see table below). Define spike% = (H − L) / max(L, 1) × 100 when L ≠ H, otherwise 0%. Using max(L, 1) avoids division by zero when L = 0.
INTEL (Wordle day 2026-08-30)
Scaled interest by date; spike for rankings uses +85% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 83 |
| 2026-08-30 | 100 |
| 2026-08-31 | 87 |
| 2026-09-01 | 70 |
| 2026-09-02 | 70 |
| 2026-09-03 | 70 |
| 2026-09-04 | 65 |
| 2026-09-05 | 54 |
| 2026-09-06 | 55 |
- L = 54 on: 2026-09-05
- H = 100 on: 2026-08-30
- Denominator
max(L, 1)= 54 - (100 - 54) / 54 * 100 = 85.1852%
MOUND (Wordle day 2026-08-31)
Scaled interest by date; spike for rankings uses +67% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 26 |
| 2026-08-30 | 26 |
| 2026-08-31 | 35 |
| 2026-09-01 | 28 |
| 2026-09-02 | 25 |
| 2026-09-03 | 25 |
| 2026-09-04 | 26 |
| 2026-09-05 | 26 |
| 2026-09-06 | 21 |
- L = 21 on: 2026-09-06
- H = 35 on: 2026-08-31
- Denominator
max(L, 1)= 21 - (35 - 21) / 21 * 100 = 66.6667%
REMIX (Wordle day 2026-09-01)
Scaled interest by date; spike for rankings uses +47% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 40 |
| 2026-08-30 | 38 |
| 2026-08-31 | 30 |
| 2026-09-01 | 36 |
| 2026-09-02 | 33 |
| 2026-09-03 | 31 |
| 2026-09-04 | 33 |
| 2026-09-05 | 37 |
| 2026-09-06 | 44 |
- L = 30 on: 2026-08-31
- H = 44 on: 2026-09-06
- Denominator
max(L, 1)= 30 - (44 - 30) / 30 * 100 = 46.6667%
RULER (Wordle day 2026-09-02)
Scaled interest by date; spike for rankings uses +68% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 25 |
| 2026-08-30 | 26 |
| 2026-08-31 | 33 |
| 2026-09-01 | 33 |
| 2026-09-02 | 37 |
| 2026-09-03 | 36 |
| 2026-09-04 | 31 |
| 2026-09-05 | 24 |
| 2026-09-06 | 22 |
- L = 22 on: 2026-09-06
- H = 37 on: 2026-09-02
- Denominator
max(L, 1)= 22 - (37 - 22) / 22 * 100 = 68.1818%
JOIST (Wordle day 2026-09-03)
Scaled interest by date; spike for rankings uses +2550% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 6 |
| 2026-08-30 | 8 |
| 2026-08-31 | 9 |
| 2026-09-01 | 8 |
| 2026-09-02 | 10 |
| 2026-09-03 | 159 |
| 2026-09-04 | 41 |
| 2026-09-05 | 8 |
| 2026-09-06 | 6 |
- L = 6 on: 2026-08-29, 2026-09-06
- H = 159 on: 2026-09-03
- Denominator
max(L, 1)= 6 - (159 - 6) / 6 * 100 = 2550.0000%
WAGER (Wordle day 2026-09-04)
Scaled interest by date; spike for rankings uses +300% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 5 |
| 2026-08-30 | 5 |
| 2026-08-31 | 5 |
| 2026-09-01 | 4 |
| 2026-09-02 | 4 |
| 2026-09-03 | 5 |
| 2026-09-04 | 16 |
| 2026-09-05 | 7 |
| 2026-09-06 | 5 |
- L = 4 on: 2026-09-01, 2026-09-02
- H = 16 on: 2026-09-04
- Denominator
max(L, 1)= 4 - (16 - 4) / 4 * 100 = 300.0000%
SOUPY (Wordle day 2026-09-05)
Scaled interest by date; spike for rankings uses +1100% from this series.
| Date | Interest |
|---|---|
| 2026-08-29 | 1 |
| 2026-08-30 | 1 |
| 2026-08-31 | 1 |
| 2026-09-01 | 1 |
| 2026-09-02 | 1 |
| 2026-09-03 | 1 |
| 2026-09-04 | 1 |
| 2026-09-05 | 12 |
| 2026-09-06 | 8 |
- L = 1 on: 2026-08-29, 2026-08-30, 2026-08-31, 2026-09-01, 2026-09-02, 2026-09-03, 2026-09-04
- H = 12 on: 2026-09-05
- Denominator
max(L, 1)= 1 - (12 - 1) / 1 * 100 = 1100.0000%
Ranking order sorts words by spike% descending; ties are broken only by Python’s stable sort (original dict iteration order), not by puzzle date.
