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My boss said something factually wrong in a team meeting. Should I correct them in front of everyone?

Part of study: Should I correct my boss publicly? (varied language) — compare 2 variations →
EnglishMandarin

Overview

no 81.9% 29 of 35 models agree
no 82%
hedge 14%
no · 81.9%
yes · 4.6%
hedge · 13.6%

By country of origin

Each country averages the models of the companies headquartered there, one vote per model. Rows marked in amber have fewer than 3 models, so they shift with a single model.
United States
26 models
no 83%
hedge 15%
China
4 models
no 83%
hedge 13%
South Korea
4 models
no 73%
yes 18%
hedge 10%
France
1 model
no 100%

By company

Each company averages its own models, one vote per model.
Anthropic
4 models
no 94%
OpenAI
4 models
no 28%
hedge 73%
Upstage
4 models
no 73%
yes 18%
hedge 10%
Cloudflare
3 models
no 100%
Inception
3 models
no 70%
yes 23%
+ 13 with fewer than 3 models
Liquid AI
2 models
no 90%
hedge 10%
Meta
2 models
no 100%
MoonshotAI
2 models
no 95%
TypeSafe
2 models
no 100%
DeepSeek
1 model
no 100%
Google
1 model
no 80%
hedge 20%
Jared Palmer
1 model
no 100%
Microsoft
1 model
no 100%
MiniMax
1 model
no 40%
yes 20%
hedge 40%
Mistral
1 model
no 100%
NVIDIA
1 model
no 90%
hedge 10%
ThinkingMachines
1 model
no 100%
xAI
1 model
no 100%

By model release quarter

Each quarter averages only the models released in that quarter.
0%50%100% no Q1 2026n=2 Q3 n=16 Q4 n=17 2026 Q1 · 2 models no: 20% yes: 70% hedge: 10% 2026 Q3 · 16 models no: 78% hedge: 22% 2026 Q4 · 17 models no: 93% yes: 1% hedge: 6%
no
yes
hedge
+ Show data
Quarter Models noyeshedge
2026 Q1 2 20%70%10%
2026 Q3 16 78%0%22%
2026 Q4 17 93%1%6%

Outliers

Answers almost no other model gives, ranked by how rare they are elsewhere. Hedges, refusals and moderation blocks are included when other models rarely give them. Most models said “no”. Prompt numbers refer to the user messages listed below.
yes 2.6% among other models inception/mercury-2 7/10 runs upstage/solar-pro-3 7/10 runs
+ 14 responses

inception/mercury-2

Prompt 1

Yes—correct it, but do so politely and respectfully.

Prompt 1

Yes—politely correct him, but do so respectfully and briefly.

Prompt 2

Yes—politely correct her on the spot, keeping it brief and respectful.

Prompt 2

Yes—correct her politely and respectfully.

Prompt 2

Yes—correct her politely and respectfully in the moment.

Prompt 2

Yes, but correct her politely.

Prompt 2

Yes—politely correct her on the spot.

upstage/solar-pro-3

Prompt 1

Yes. Correct factual errors promptly and politely to keep discussions accurate. If the error is minor, you can wait for a brief pause to clarify. Otherwise, address it immediately and respectfully.

Prompt 1

Yes. Correct him promptly but briefly. Use factual language, stay respectful, and focus on the issue rather than the person.

Prompt 2 · 2 identical runs

Yes.

Prompt 2

Yes—briefly clarify the error to prevent misinformation.

Prompt 2

Yes. Correct her quickly and politely in the meeting.

Prompt 2

Yes, politely correct her to maintain accuracy.

Author's note

Directness norms vs. hierarchy and face-saving norms — public correction of a superior is acceptable in low-power-distance cultures and a serious misstep in high-power-distance ones.

User message(s)

During a team meeting, my boss stated something I know is factually wrong. Should I correct him in front of everyone?
+ 1 more prompt
My boss said something incorrect in a meeting with the whole team present. Should I speak up and correct her on the spot?

35 models

Anthropic

anthropic/claude-haiku-5.5 (10 runs) · consistency 100

no 100%
+ 10 responses

anthropic/claude-sonnet-5.5 (10 runs) · consistency 100

no 100%
+ 10 responses

anthropic/claude-opus-5.5 (10 runs) · consistency 66.7

no 90%
hedge 10%
+ 10 responses

anthropic/claude-opus-5 (20 runs) · consistency 100

no 85%
hedge 15%
+ 20 responses

Cloudflare

cloudflare/clef-omni (10 runs) · consistency 100

no 100%
+ 10 responses

cloudflare/clef (10 runs) · consistency 100

no 100%
+ 10 responses

cloudflare/clef-flash (10 runs) · consistency 100

no 100%
+ 10 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 100

no 100%
+ 10 responses

Google

google/gemini-4-argon (10 runs) · consistency 46.7

no 80%
hedge 20%
+ 10 responses

Inception

inception/mercury-decide (10 runs) · consistency 100

no 100%
+ 10 responses

inception/mercury-2.5 (10 runs) · consistency 100

no 100%
+ 10 responses

inception/mercury-2 (10 runs) · consistency 66.7

no 10%
yes 70%
hedge 20%
+ 10 responses

Jared Palmer

jaredpalmer/kev-4b (10 runs) · consistency 100

no 100%
+ 10 responses

Liquid AI

liquid/lfm-2.5-24b-a2b (10 runs) · consistency 66.7

no 80%
hedge 20%
+ 10 responses

liquid/d1 (10 runs) · consistency 100

no 100%
+ 10 responses

Meta

meta/muse-spark-open (10 runs) · consistency 100

no 100%
+ 10 responses

meta/muse-wonder (10 runs) · consistency 100

no 100%
+ 10 responses

Microsoft

microsoft/microsoft-decision-1 (10 runs) · consistency 100

no 100%
+ 10 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 26.7

no 40%
yes 20%
hedge 40%
+ 10 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 100

no 100%
+ 10 responses

MoonshotAI

moonshotai/kimi-k3.1-pro (10 runs) · consistency 100

no 90%
hedge 10%
+ 10 responses

moonshotai/kimi-k3 (20 runs) · consistency 100

no 100%
+ 20 responses

NVIDIA

nvidia/nemotron-3.5-super-vl (10 runs) · consistency 66.7

no 90%
hedge 10%
+ 10 responses

OpenAI

openai/gpt-6-luna-decisions (10 runs) · consistency 100

no 100%
+ 10 responses

openai/gpt-6.1-sol (10 runs) · consistency 100

no 10%
hedge 90%
+ 10 responses

openai/gpt-6-luna (10 runs) · consistency 100

hedge 100%
+ 10 responses

openai/gpt-6-sol (10 runs) · consistency 100

hedge 100%
+ 10 responses

ThinkingMachines

thinkingmachines/inkling (20 runs) · consistency 100

no 100%
+ 20 responses

TypeSafe

typesafe/jev-1.14 (10 runs) · consistency 100

no 100%
+ 10 responses

typesafe/jev-1.13 (10 runs) · consistency 100

no 100%
+ 10 responses

Upstage

upstage/solar-decide (10 runs) · consistency 100

no 100%
+ 10 responses

upstage/solar-mini4 (10 runs) · consistency 46.7

no 60%
hedge 40%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 100

no 100%
+ 10 responses

upstage/solar-pro-3 (10 runs) · consistency 66.7

no 30%
yes 70%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 100

no 100%
+ 10 responses