First — talk for 2 minHas anyone in your family voted, registered to vote, or had trouble voting? Or thought about voting for the first time? If no one, Mr. Bennett will share.

Why does a billion collapse to a single digit?

To vote in any US election, your name has to be on a state's voter roll. States “clean” those rolls every cycle — they take off people who moved, died, or registered twice. That is a purge. Some purges are routine. Some take eligible voters off and never tell them.

Between 2020 and 2022, US states removed about 19,000,000 names from voter rolls. In one wave in September 2023, Ohio purged 154,995 names. Wisconsin tried to drop 234,000 in late 2019 (a court halted it). Georgia cut about 1,500,000 names from 2012–2016. Different states, very different sizes — but written out, all those zeros start to blur together.

Here is the move: a \(\log(x)\) of a count tells you how many digits the number has, almost exactly. \(\log(154{,}995)\) lands between 5 and 6. \(\log(19{,}000{,}000)\) lands between 7 and 8. One digit of difference on the log scale — how many times bigger is that, and what does that compression let you see that the raw count hides?

Worked Example #1 — Sandwich \(\log(154{,}995)\) (Ohio purge, Sep 2023)
ProblemOhio purged 154,995 names in one wave. Find two consecutive integers that sandwich \(\log(154{,}995)\). No calculator.
DataThe base is 10 (no base shown means base 10). Powers of 10: \(10^{3}=1{,}000\), \(10^{4}=10{,}000\), \(10^{5}=100{,}000\), \(10^{6}=1{,}000{,}000\), \(10^{7}=10{,}000{,}000\). Use \(\log_{b}(x) = n\) means \(b^{n} = x\).
Word Bank base exponent sandwich larger smaller argument denominator between
Number Bank 10 5 6 100,000 1,000,000 154,995 15 10,000
#Reasoning (fill in)Math (fill in numbers)
1 Note the . \(\log\) with no base means base 10. \(b = \)
2 The number 154,995 is the of the log — the value going in. input \(= \)
3 Find the largest power of 10 that is than 154,995. \(10^{5} = \) \(<\) 154,995 ✓
4 Find the smallest power of 10 that is than 154,995. \(10^{6} = \) \(>\) 154,995 ✓
5 The log lives those two exponents. \(\log(154{,}995)\) is between and
Worked Example #2 — Compare a purge to an intervention
ProblemOregon's first year of Automatic Voter Registration added 272,000 new voters. Sandwich \(\log(272{,}000)\). Then say which is bigger on the log scale: Oregon's add (272,000) or Ohio's purge (154,995).
Data\(10^{5} = 100{,}000\), \(10^{6} = 1{,}000{,}000\). From WE#1, \(\log(154{,}995)\) is between 5 and 6 (calculator: about 5.19). When two logs sit in the same integer range, compare the inputs directly to break the tie.
Word Bank power exponent larger same smaller range numerator input
Number Bank 10 5 6 100,000 1,000,000 272,000 5.43 6.43
#Reasoning (fill in)Math (fill in numbers)
1 Note the base — same as WE#1. \(b = \)
2 The largest of 10 still less than 272,000. \(10^{5} = \)
3 The smallest power of 10 than 272,000. \(10^{6} = \)
4 The log sits between those two s. \(\log(272{,}000)\) is between and
5 Both logs land in the integer range (5 to 6). With the same base, the larger input gives the larger log. 272,000 \(>\) 154,995, so \(\log(272{,}000) \approx \)
Real-Data Work Time — fill in from your sandwich work
Q1 (Wisconsin, 234,000): \(\log(234{,}000)\) is between and , because \(10\) \(<\) 234,000 \(<\) \(10\).
Q2 (Georgia, 1,500,000): \(\log(1{,}500{,}000)\) is between and .
Q3 (US national, 19,000,000): \(\log(19{,}000{,}000)\) is between and .
Q4 (calculator check): Type \(\log(154{,}995) \approx \) . Type \(\log(19{,}000{,}000) \approx \) . Difference of about on the log scale = about times bigger in raw count.
Conclude

Which intervention would you push for — AVR, Same-Day, or Pre-Reg at 16/17?

The math just compressed four very different state purges into the same one-digit window. Now use the same trick on the three real interventions. Compare on the log scale, then defend a choice for Pennsylvania (which has none of the three as of 2026).

Oregon AVR — given (year 1) New voters: 272,000
\(\log(272{,}000)\) sits between   and  
Same order as Ohio's purge?   (yes / no)
Pre-Reg at 16/17 — compute Effect: +9 percentage points youth turnout.
If 100,000 PA youth would otherwise vote, +9 pp adds about   voters.
\(\log\) of that addition sits between   and  

Reflect: A single AVR rollout adds about \(10^{5}\) voters in year 1 — same order as a single purge wave. Which intervention would you push for in PA, and which number convinced you?

Tier 2 · General Academic Words
Tier 3 · Logarithm & Civic Words