The Briar Glen Sentinel
Chem Lab Mix-Up Spurs Districtwide Lesson on Measurement: Accuracy, Precision and Uncertainty
After a routine titration went sideways, a veteran teacher walks students through dartboards, meniscus readings and why the last digit is always an estimate.
EDUCATION
BRIAR GLEN, Ohio — Saturday, Feb. 1, 2026
By Mariah Kessler

A faintly pink beaker that should have stayed colorless set off a chain reaction at Briar Glen High this week, prompting science staff to pause lab work and roll out a districtwide mini-lesson on accuracy, precision and uncertainty — and the quiet ways small reading habits can become big results.
The incident began during a sophomore chemistry lab Tuesday afternoon, when students in Room 214 prepared a salt solution used later in the week for a biology osmosis activity. The solution came out stronger than expected, according to internal notes shared with parents, and several groups reported “off” conductivity readings.
No one was injured. But the lab period ended early, and the district’s science coordinator, Lila Moreno, asked teachers to document measurement steps and instrument checks.
By Thursday, chemistry teacher Daniel Cho had turned the interruption into what he called “a measurement newsroom,” complete with taped-up posters, a dartboard graphic and a row of instruments on a front table.
A classroom reset, built around two words students confuse
Cho opened the lesson by holding up two index cards.
“Accuracy is how close you are to the true value,” he told students, reading from one card. “Precision is how close your repeated measurements are to each other.”
He then pointed to a third card propped against a buret stand: “Uncertainty is the plus-or-minus range that describes what your measurement could reasonably be.”
In the back row, sophomore Anika Patel said the words had always sounded interchangeable. “I thought ‘precise’ just meant ‘right,’” she said after class. “But he kept saying you can be consistent and still be consistently wrong.”
The dartboard poster: a 2×2 students could point at
At the center of the room, Cho posted a simple, hand-drawn 2×2 chart titled “TARGET RESULTS,” with four squares. Inside each square was a small dartboard sketch described aloud as students copied it.
- Accurate + Precise: a tight cluster of darts on the bullseye.
- Precise, Not Accurate: a tight cluster of darts off-center, all landing in the same wrong spot.
- Accurate, Not Precise: darts spread out, but roughly centered around the bullseye overall.
- Neither Accurate Nor Precise: darts scattered widely and far from the center.
Cho asked students to stand, look at the chart, and choose which square matched what happened in Tuesday’s lab.
Moreno, the district coordinator, said the first round of notes suggested a mix: some groups were scattered in both directions, while another set of groups recorded nearly identical volumes but were offset by the same amount.
“That’s when the question changes,” Moreno said in an interview. “Are we looking at random noise, or did something push everyone the same way?”
The last digit: why the instrument’s resolution decides what you can report
On the front table, Cho lined up a 100 mL graduated cylinder, an analog spring scale, a digital balance and a thermometer. He asked students to identify the smallest marked increments.
“Whatever the smallest mark is,” he said, tapping the cylinder, “you don’t stop there. You estimate one digit beyond that. That estimated digit is the uncertain one.”
He called that limit resolution, and he told students it sets the last reported digit.
“It’s not about being brave,” he said, according to a student’s notes he reviewed on the projector. “It’s about being honest about what the instrument can actually show.”
Example 1: Graduated cylinder and the meniscus
Cho held the cylinder at eye level and rotated it slightly so students could see the curve of the liquid.
On the board, he wrote what the cylinder showed: marks every 1 mL.
Students watched as he placed the cylinder on a flat surface and crouched so his eyes were level with the liquid.
“Read the bottom of the meniscus,” he told them.
He asked for two volunteers to call out a value. One said “about 36.” Another said “37.”
Cho took a dry-erase marker and wrote: 36.4 mL.
“Your last digit — the tenths place — is the estimate,” he said, pointing to the “.4.” “If your smallest marks are 1 mL apart, your reported measurement doesn’t end at a whole number.”
Moreno later said several students had been recording cylinder readings as whole numbers in their lab notebooks, even when the cylinders were designed to support tenths-place estimates.
Example 2: Analog scale with tick marks
Cho then clipped a small mass to an analog spring scale with tick marks every 0.5 newton.
He asked students to focus on the pointer between two ticks.
“If the smallest tick is 0.5 N, you estimate to the next digit,” he said.
He wrote a sample reading: 3.2 N.
“The ‘0.2’ isn’t a tick mark you can point to,” he said, “but you can judge where the pointer sits between 3.0 and 3.5.”
Student Marcus Hill said the scale example made the rule feel less abstract. “You’re kind of making an educated guess, but everyone makes the same kind of guess,” he said. “And if you don’t write that last digit, you’re pretending you didn’t look closely.”
Random vs. systematic error: two different stories behind the same bad result
Later in the period, Cho returned to Tuesday’s lab records and asked students to imagine what each error type would look like on the dartboard.
He described random error as the kind that makes darts spread out: small variations from trial to trial — a shaky hand on a buret stopcock, a reaction endpoint that’s hard to see, or tiny differences in how students line up their eyes.
He described systematic error as the kind that shifts the whole cluster: a consistent bias — a balance that reads heavy, a misprinted scale, a cylinder that isn’t truly 100 mL, or a habit of reading the top of a meniscus instead of the bottom.
“You can average random error down,” Cho told the class, according to audio recorded for absent students. “But systematic error sticks with you until you find it.”
Why calibration became the central fix
By Wednesday morning, the department had checked the class set of conductivity probes and found that one probe was drifting high. The district did not release the exact magnitude, but Moreno said it was enough to push several groups’ solutions into the wrong range.
The department also found inconsistent procedures for checking volumetric glassware.
“Calibration sounds like a fancy word, but it’s just comparing an instrument to something you trust,” Moreno said. “If you don’t do it, you don’t know if you’re off-center on the dartboard.”
At Cho’s request, the department added a new step to pre-lab routines: a quick calibration check for balances using certified masses, and a spot-check of volume measurements using water and temperature-based density tables provided by the department.
Cho told students the changes weren’t punishment. “It’s the opposite,” he said. “Calibration protects your work. It’s how you prove your numbers mean what you say they mean.”
A plain-language “visual” students took home
Students left class with a one-page handout that summarized the day’s posters in words and simple sketches. One section instructed them to draw:
- A dartboard with a tight center cluster labeled “Accurate + Precise.”
- A tight off-center cluster labeled “Precise, not accurate.”
- A scattered pattern around the center labeled “Accurate, not precise.”
- A scattered off-center pattern labeled “Neither.”
Another section told them to underline the final digit in every measurement they recorded and label it “estimated.”
For sophomore Patel, the new routine changed what she wrote in her notebook the next day. “I used to write 36 mL and move on,” she said. “Now I write 36.4 mL and I know the .4 is my best estimate. It feels more careful, but also more real.”
Moreno said the district will keep the lesson in place beyond the immediate lab interruption, adding it to ninth-grade physical science and revisiting it in junior-year chemistry.
“The point isn’t perfect numbers,” she said. “The point is honest numbers — with uncertainty — and instruments we can defend.”