Peptide survey

Human vs two simulated datasets

Midi ground truth against Dataset 1 (Nov 3, 500 people per question) and Dataset 2 (Nov 5, 605 people, same people on every question).

Match rules

A probability match means the human % falls inside that dataset’s 95% probability range, widened by the allowance. A simulated match means Simulated % is within the allowance of the human %. An expected match means Expected % is within its own allowance of the human %. A question matches when enough of its options pass.

Probability range

Simulated %

Expected %

Directional alignment

Compares the order of options. The orders align when one ranking can be turned into the other with at most this many swaps, and a swap can exchange any two options.

Simulated % order

Expected % order

Both datasets clear the probability bar on . Both clear the simulated bar on . Both clear the expected bar on . Both share the simulated order on , and the expected order on . Q2 is Dataset 2 only, so it cannot count in “both”.

Questions

20 shown · a question matches when its option share meets the 80% bar

QuestionDataset 1 probabilityDataset 2 probabilityDataset 1 simulatedDataset 2 simulatedDataset 1 expectedDataset 2 expectedD1 simulated orderD2 simulated orderD1 expected orderD2 expected order
Q2 Which of the following have you explored or tried during the past 12 months?
Not run
4 / 850%

Needs 37.6 pp

Not run
5 / 863%
Not run
5 / 863%
Not run
5 swapsOff
Not run
4 swapsOff
Q4 Before today, how familiar were you with peptides in health or wellness?
3 / 838%

Needs 6.5 pp

2 / 825%

Needs 7.5 pp

2 / 825%
4 / 850%
3 / 838%
3 / 838%
5 swapsOff
5 swapsOff
4 swapsOff
4 swapsOff
Q5 Which of the following have you heard associated with peptides?
2 / 825%

Needs 44.2 pp

1 / 813%

Needs 46.6 pp

2 / 825%
1 / 813%
2 / 825%
1 / 813%
5 swapsOff
5 swapsOff
4 swapsOff
5 swapsOff
Q6 Where have you come across information about peptides?
4 / 944%

Needs 37.9 pp

2 / 922%

Needs 41.9 pp

3 / 933%
2 / 922%
4 / 944%
3 / 933%
5 swapsOff
6 swapsOff
4 swapsOff
4 swapsOff
Q9 What is your overall impression of peptide-related health treatments?
1 / 617%

Needs 10.9 pp

1 / 617%

Needs 15.3 pp

3 / 650%
2 / 633%
2 / 633%
2 / 633%
3 swapsOff
4 swapsOff
3 swapsOff
3 swapsOff
Q10 What concerns, if any, would you have about using peptide-related treatments?
2 / 922%

Needs 21.1 pp

1 / 911%

Needs 25.9 pp

4 / 944%
4 / 944%
3 / 933%
3 / 933%
5 swapsOff
4 swapsOff
5 swapsOff
5 swapsOff
Q11 What would make you more comfortable trying a peptide-related treatment?
4 / 850%

Needs 12.8 pp

3 / 838%

Needs 13.8 pp

3 / 838%
2 / 825%
4 / 850%
3 / 838%
4 swapsOff
5 swapsOff
4 swapsOff
4 swapsOff
Q13 How open would you be to using a peptide-related treatment if recommended by a qualified medical professional?
2 / 633%

Needs 4.8 pp

2 / 633%

Needs 6 pp

2 / 633%
3 / 650%
3 / 650%
3 / 650%
2 swapsOff
2 swapsOff
3 swapsOff
2 swapsOff
Q14 How much would a doctor's recommendation influence your decision?
2 / 540%

Needs 0.7 pp

4 / 5Match

Needs 0 pp

2 / 540%
2 / 540%
4 / 5Match
5 / 5Match
1 swapAligned
2 swapsOff
1 swapAligned
1 swapAligned
Q15 How likely would you be to consider a peptide-related treatment in the next 12 months?
1 / 714%

Needs 7.5 pp

1 / 714%

Needs 9 pp

3 / 743%
3 / 743%
2 / 729%
2 / 729%
4 swapsOff
4 swapsOff
5 swapsOff
5 swapsOff
Q17 Which best describes your current relationship with peptide or GLP-1 providers?
1 / 617%

Needs 6.6 pp

1 / 617%

Needs 13.7 pp

1 / 617%
0 / 60%
1 / 617%
1 / 617%
3 swapsOff
3 swapsOff
3 swapsOff
2 swapsOff
Q18 For each provider, which applies?
6 / 3020%

Needs 14.2 pp

6 / 3020%

Needs 14 pp

7 / 3023%
10 / 3033%
10 / 3033%
9 / 3030%
23 swapsOff
27 swapsOff
22 swapsOff
24 swapsOff
Q20 If you were to start a peptide or GLP-1 treatment, who would you most want to work with?
5 / 6Match

Needs 0 pp

3 / 650%

Needs 0.7 pp

2 / 633%
2 / 633%
5 / 6Match
5 / 6Match
1 swapAligned
0 swapsAligned
0 swapsAligned
1 swapAligned
Q22 Rank #1: what matters most
3 / 650%

Needs 7.3 pp

3 / 650%

Needs 7.1 pp

4 / 667%
4 / 667%
4 / 667%
4 / 667%
0 swapsAligned
0 swapsAligned
0 swapsAligned
0 swapsAligned
Q23 How important is each of the following?
8 / 3324%

Needs 15 pp

9 / 3327%

Needs 15.6 pp

7 / 3321%
6 / 3318%
9 / 3327%
10 / 3330%
30 swapsOff
24 swapsOff
30 swapsOff
26 swapsOff
Q26 Rank #1: what would most increase your trust
4 / 944%

Needs 10.3 pp

1 / 911%

Needs 10.1 pp

3 / 933%
3 / 933%
4 / 944%
4 / 944%
5 swapsOff
7 swapsOff
6 swapsOff
5 swapsOff
Q27 Rank #1: biggest concerns
5 / 1050%

Needs 3.7 pp

4 / 1040%

Needs 2.7 pp

5 / 1050%
6 / 1060%
7 / 1070%
6 / 1060%
9 swapsOff
7 swapsOff
7 swapsOff
8 swapsOff
Q30 Do you agree or disagree?
6 / 1638%

Needs 12.1 pp

4 / 1625%

Needs 14.9 pp

4 / 1625%
2 / 1613%
6 / 1638%
6 / 1638%
10 swapsOff
10 swapsOff
7 swapsOff
7 swapsOff
Q31 If someone close to you started using a weight-loss medication, how do you think you would respond?
2 / 450%

Needs 2.1 pp

2 / 450%

Needs 3.6 pp

3 / 475%
2 / 450%
2 / 450%
2 / 450%
1 swapAligned
1 swapAligned
1 swapAligned
2 swapsOff
Q32 How do you think most people view the use of weight-loss medications?
3 / 560%

Needs 2.5 pp

3 / 560%

Needs 2.2 pp

1 / 520%
3 / 560%
3 / 560%
3 / 560%
1 swapAligned
1 swapAligned
1 swapAligned
1 swapAligned

Q4

Before today, how familiar were you with peptides in health or wellness?

Single-select

Probability range

Dataset 1

3 of 8 options

Needs 6.5 pp to clear the bar

Dataset 2

2 of 8 options

Needs 7.5 pp to clear the bar

Simulated %

Dataset 1

2 of 8 options

Dataset 2

4 of 8 options

Expected %

Dataset 1

3 of 8 options

Dataset 2

3 of 8 options

Simulated order

Dataset 1

5 swaps

Dataset 2

5 swaps

Expected order

Dataset 1

4 swaps

Dataset 2

4 swaps

Dataset 1Nov 3 · 500 people per question

Largest miss: Heard the term but don't know much · +11.1 points · +23.2%

OptionHuman %Simulated %Simulated − humanExpected %95% rangeNearest-side differenceRelative differenceRange matchSimulated matchExpected match
Heard the term but don't know much
59%
59 people
73.2%+14.242.3%36.6–47.9+11.1+23.2%OutsideOutsideOutside
Have used them in the past
0%
0 people
7.2%+7.210%6.5–13.4-6.5-100%OutsideOutsideOutside
Never heard of them
10%
10 people
0%-104.9%2.4–7.4+2.6+35.1%OutsideOutsideOutside
Are using it currently
7%
7 people
12.4%+5.413.3%9.4–17.3-2.4-25.5%OutsideOutsideOutside
Have actively researched them
11%
11 people
4.8%-6.217.6%13.2–21.9-2.2-16.7%OutsideOutsideOutside
Want similar benefits but from a different type of product
2%
2 people
0%-22.9%0.9–4.800%MatchMatchMatch
Have considered using, but haven't used
9%
9 people
2.4%-6.68.1%5–11.300%MatchOutsideMatch
Purchased but haven't used
0%
0 people
0%01%0–2.100%MatchMatchMatch
Know a little about them2%Not in this dataset

Dataset 2Nov 5 · 605 people, same people on every question

Largest miss: Heard the term but don't know much · +12.3 points · +26.3%

OptionHuman %Simulated %Simulated − humanExpected %95% rangeNearest-side differenceRelative differenceRange matchSimulated matchExpected match
Heard the term but don't know much
59%
59 people
71.9%+12.941.6%36.5–46.7+12.3+26.3%OutsideOutsideOutside
Have used them in the past
0%
0 people
8.1%+8.110.7%7.5–14-7.5-100%OutsideOutsideOutside
Never heard of them
10%
10 people
0%-104.1%2–6.2+3.8+61.3%OutsideOutsideOutside
Have actively researched them
11%
11 people
6%-518.8%14.7–22.9-3.7-25.2%OutsideMatchOutside
Are using it currently
7%
7 people
10.9%+3.912.1%8.6–15.6-1.6-18.6%OutsideMatchOutside
Purchased but haven't used
0%
0 people
0.5%+0.51.3%0.1–2.5-0.1-100%OutsideMatchMatch
Want similar benefits but from a different type of product
2%
2 people
0.3%-1.72.8%1.1–4.600%MatchMatchMatch
Have considered using, but haven't used
9%
9 people
2.3%-6.78.5%5.6–11.400%MatchOutsideMatch
Know a little about them2%Not in this dataset