Datasets:

jasoncorkill
/

would-you-rather-kissing-vs-sauce

+---
+license: cc-by-4.0
+language:
+- multilingual
+pretty_name: "Would You Rather: Kissing vs Sauce (10k humans)"
+size_categories:
+- 10K<n<100K
+task_categories:
+- tabular-classification
+tags:
+- survey
+- human-preferences
+- would-you-rather
+- crowdsourcing
+- rapidata
+- demographics
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/responses.parquet
+---
+# Would You Rather: Kissing vs Sauce 💋🍝
+> [!NOTE]
+> **The analysis in this README was written by an AI** (Claude, working as Rapidata's engineering
+> assistant), and every number was computed by a script from the data in this repo. The **data
+> itself is real**: 10,000 human responses collected through [Rapidata](https://www.rapidata.ai).
+> Treat the interpretation as exploratory, not peer-reviewed.
+We asked **10,000 people in 127 countries** one question:
+> **Would you rather never kiss someone on the mouth again, or never eat anything with sauce again?**
+**Result: 53.1% would give up kissing to keep sauce** (95% CI ± 1.0 pp).
+Globally it is close to a coin flip, but the answer depends a lot on where people live: it ranges from
+**35% in PT** to **71% in EG**.
+![By region](images/by_region.png)
+## Key findings
+1. **Country and culture explain far more than anything else** (χ² p = 1.9e-55). The Arab world
+   (68%) would give up kissing; Iberia (38%) would give up sauce.
+2. **This isn't caused by translation.** In Arab countries, people who saw the task in English or French still
+   chose "give up kissing" far more often than the global average.
+3. **Women give up kissing more often than men**: after controlling for country, men have an odds ratio of
+   0.73 vs women (p = 4e-07).
+4. **Age has no real effect.** The raw dip among 50–64 year olds comes from who is in that age group:
+   44% of them are European, vs 15% of 18–29 year olds. After controlling for country, no age
+   group differs significantly.
+5. **Reliability score doesn't change the answer**: weighted by `user_score` the result is 53.1%,
+   vs 53.1% unweighted.
+## How the data was collected
+| | |
+|---|---|
+| Platform | [Rapidata](https://www.rapidata.ai): responses from people using apps in Rapidata's network |
+| Audience | Rapidata `global` audience, no country, language or demographic filter |
+| Task type | Single-choice classification, two options |
+| Responses | 10,000 |
+| Localisation | The question and both answers were machine-translated into each person's app language; a neutral "?" image stood in as the task asset so no untranslated text was shown |
+| Answer order | Randomised per person |
+| Rapidata job | `job_1VyZzsnpmgyphz` |
+| Collected | September 2026 |
+## Dataset structure
+One row per response. No user identifiers are included.
+| Column | Type | Description |
+|---|---|---|
+| `response_id` | int | Row index, 0…9999 |
+| `choice` | string | `"Never kiss someone on the mouth again"` or `"Never eat anything with sauce again"` |
+| `gives_up_kissing` | bool | `True` if `choice` is the kissing option |
+| `country` | string | ISO-3166 alpha-2 country of the respondent |
+| `language` | string | ISO-639-1 language the task was shown in |
+| `age_group` | string / null | `18-29`, `30-39`, `40-49`, `50-64`, `65+` (49% missing) |
+| `gender` | string / null | `Female`, `Male`, `Other` (38% missing) |
+| `occupation` | string / null | Self-reported occupation or education (35% missing) |
+| `user_score` | float | Rapidata's global reliability score for the respondent, in [0, 1). It comes from their accuracy on known-answer tasks |
+| `region` | string | Grouping used in this README: `Arab world`, `Iberia`, `Other Europe`, `Rest of world` |
+```python
+from datasets import load_dataset
+ds = load_dataset("jasoncorkill/would-you-rather-kissing-vs-sauce", split="train")
+df = ds.to_pandas()
+df.groupby("country").gives_up_kissing.mean().sort_values()
+```
+A CSV copy is at `data/responses.csv`.
+## Analysis
+Every percentage below is the **share who would give up kissing** (and keep sauce). Confidence intervals
+use the normal approximation. Groups with fewer than 50 respondents are left out of the tables.
+### Overall
+| Measure | Value |
+|---|---:|
+| Gives up kissing (unweighted) | **53.1%** ± 1.0 pp |
+| Gives up kissing (weighted by `user_score`) | 53.1% |
+| Gives up sauce | 46.9% |
+| Countries / languages represented | 127 / 52 |
+### By region
+| Region | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| Arab world | 1,651 | 68.1% | ± 2.2 pp |
+| Rest of world | 5,877 | 54.1% | ± 1.3 pp |
+| Other Europe | 1,144 | 44.8% | ± 2.9 pp |
+| Iberia | 1,328 | 37.6% | ± 2.6 pp |
+χ² test of independence: p = 1.8e-67.
+### By country
+![By country](images/by_country.png)
+| Country | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| EG | 839 | 71.3% | ± 3.1 pp |
+| IQ | 298 | 67.4% | ± 5.3 pp |
+| TH | 75 | 64.0% | ± 10.9 pp |
+| JO | 99 | 62.6% | ± 9.5 pp |
+| BD | 230 | 60.9% | ± 6.3 pp |
+| DZ | 230 | 58.7% | ± 6.4 pp |
+| PH | 1,023 | 58.7% | ± 3.0 pp |
+| KR | 133 | 57.9% | ± 8.4 pp |
+| CI | 83 | 57.8% | ± 10.6 pp |
+| TR | 166 | 57.2% | ± 7.5 pp |
+| ZA | 231 | 55.8% | ± 6.4 pp |
+| JP | 723 | 55.5% | ± 3.6 pp |
+| PK | 494 | 54.7% | ± 4.4 pp |
+| VE | 51 | 52.9% | ± 13.7 pp |
+| US | 57 | 52.6% | ± 13.0 pp |
+| CL | 59 | 52.5% | ± 12.7 pp |
+| PE | 128 | 51.6% | ± 8.7 pp |
+| BR | 149 | 51.0% | ± 8.0 pp |
+| IN | 1,648 | 50.2% | ± 2.4 pp |
+| DE | 80 | 48.8% | ± 11.0 pp |
+| FR | 250 | 45.6% | ± 6.2 pp |
+| GB | 192 | 44.3% | ± 7.0 pp |
+| BY | 123 | 43.9% | ± 8.8 pp |
+| AT | 92 | 42.4% | ± 10.1 pp |
+| PL | 160 | 41.2% | ± 7.6 pp |
+| ES | 1,098 | 38.2% | ± 2.9 pp |
+| PT | 230 | 34.8% | ± 6.2 pp |
+χ² p = 1.9e-55. The spread between EG and PT is
+**36 percentage points**, far larger than either confidence interval.
+### By task language
+![By language](images/by_language.png)
+| Language | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| ar | 1,229 | 71.4% | ± 2.5 pp |
+| th | 70 | 64.3% | ± 11.2 pp |
+| ko | 136 | 56.6% | ± 8.3 pp |
+| tr | 151 | 55.6% | ± 7.9 pp |
+| ja | 722 | 55.4% | ± 3.6 pp |
+| en | 4,419 | 53.6% | ± 1.5 pp |
+| fr | 542 | 51.1% | ± 4.2 pp |
+| de | 160 | 47.5% | ± 7.7 pp |
+| ru | 225 | 44.9% | ± 6.5 pp |
+| pl | 142 | 42.3% | ± 8.1 pp |
+| es | 1,524 | 42.1% | ± 2.5 pp |
+| pt | 370 | 40.3% | ± 5.0 pp |
+χ² p = 1.3e-54. The language ranking closely follows the country ranking. Arabic is at the top,
+and Spanish and Portuguese are at the bottom.
+#### Is it the translation or the culture?
+If the Arabic translation were driving the effect, people in Arab countries who saw the task in
+another language would look like the global average. They don't:
+| Task language (Arab countries only) | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| ar | 1,215 | 71.4% | ± 2.5 pp |
+| en | 281 | 60.5% | ± 5.7 pp |
+| fr | 148 | 57.4% | ± 8.0 pp |
+Arabic-language respondents lean further toward giving up kissing (χ² p = 2.1e-05), but
+English- and French-language respondents in the same countries still sit well above the global
+53.1%. The translation may add to the effect, but it doesn't create it.
+### By gender
+| Gender | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| Female | 2,872 | 55.8% | ± 1.8 pp |
+| Other | 1,450 | 52.1% | ± 2.6 pp |
+| Male | 1,852 | 48.5% | ± 2.3 pp |
+χ² p = 4e-06. A logistic regression that controls for country (the top 15 countries plus "other")
+gives men an **odds ratio of 0.73** vs women (p = 4e-07), so the gap isn't
+explained by gender mix across countries.
+![Gender gap by country](images/gender_gap.png)
+| Country | Female | Male | Gap (F − M) |
+|---|---:|---:|---:|
+| FR | 56.3% (n=103) | 34.8% (n=46) | +21.5 pp |
+| GB | 47.7% (n=65) | 29.8% (n=47) | +17.9 pp |
+| PK | 61.6% (n=159) | 44.0% (n=75) | +17.6 pp |
+| JP | 63.2% (n=209) | 49.1% (n=291) | +14.0 pp |
+| PH | 61.2% (n=294) | 49.0% (n=157) | +12.2 pp |
+| EG | 75.8% (n=293) | 67.8% (n=143) | +7.9 pp |
+| IN | 55.3% (n=293) | 48.0% (n=394) | +7.3 pp |
+| PT | 30.7% (n=101) | 27.5% (n=40) | +3.2 pp |
+| IQ | 64.6% (n=82) | 65.9% (n=41) | -1.2 pp |
+| ES | 37.8% (n=328) | 41.2% (n=165) | -3.4 pp |
+In most countries women are more willing to give up kissing than men. Where a country breaks that
+pattern, the table shows it.
+### By age
+![By age](images/by_age.png)
+| Age group | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| 18-29 | 1,515 | 54.4% | ± 2.5 pp |
+| 30-39 | 940 | 55.4% | ± 3.2 pp |
+| 40-49 | 848 | 54.0% | ± 3.4 pp |
+| 50-64 | 1,057 | 48.0% | ± 3.0 pp |
+| 65+ | 734 | 52.0% | ± 3.6 pp |
+The raw χ² is p = 0.005, but this effect largely comes from **who is in each age group**.
+Older respondents are far more often European:
+| Age | Share from Iberia + Other Europe |
+|---|---:|
+| 18-29 | 15% |
+| 30-39 | 16% |
+| 40-49 | 25% |
+| 50-64 | 44% |
+| 65+ | 49% |
+After controlling for country, no age group differs significantly from 18–29:
+| Age group (vs 18–29) | Odds ratio | p |
+|---|---:|---:|
+| 30-39 | 1.02 | 0.838 |
+| 40-49 | 1.03 | 0.763 |
+| 50-64 | 0.91 | 0.258 |
+| 65+ | 1.10 | 0.320 |
+Within each region the share is mostly flat across ages. The one outlier is Other Europe 65+
+(55%, n = 168); that is a small cell, so treat it with caution:
+| Age | Arab world | Iberia | Other Europe | Rest of world |
+|---|---:|---:|---:|---:|
+| 18-29 | 68% | 40% | 49% | 53% |
+| 30-39 | 71% | 32% | 42% | 54% |
+| 40-49 | 73% | 39% | 41% | 53% |
+| 50-64 | 72% | 34% | 42% | 52% |
+| 65+ | 66% | 39% | 55% | 55% |
+### By occupation
+| Occupation | n | Gives up kissing | 95% CI |
+|---|---:|---:|---:|
+| Unable to Work (health / disability) | 89 | 60.7% | ± 10.1 pp |
+| Homemaker / Caregiver | 167 | 60.5% | ± 7.4 pp |
+| Prefer not to say | 304 | 58.9% | ± 5.5 pp |
+| Technology, Engineering & Math | 52 | 57.7% | ± 13.4 pp |
+| Middle School | 182 | 56.6% | ± 7.2 pp |
+| Not currently working | 1,072 | 54.9% | ± 3.0 pp |
+| Student | 1,162 | 53.4% | ± 2.9 pp |
+| Seeking Employment | 252 | 52.8% | ± 6.2 pp |
+| None of these | 99 | 52.5% | ± 9.8 pp |
+| Master's Degree | 58 | 51.7% | ± 12.9 pp |
+| High School | 304 | 51.0% | ± 5.6 pp |
+| Bachelor's Degree | 120 | 50.8% | ± 8.9 pp |
+| Retired | 973 | 49.6% | ± 3.1 pp |
+| Working | 1,033 | 49.1% | ± 3.0 pp |
+| Skilled Trades & Industry | 60 | 46.7% | ± 12.6 pp |
+| Services & Public Sector | 105 | 45.7% | ± 9.5 pp |
+χ² p = 0.026. The occupation list mixes jobs, education level and employment status, and
+the differences are small next to the country effect. Read it as descriptive only.
+### By reliability score
+`user_score` quintiles:
+| `user_score` range | n | Gives up kissing |
+|---|---:|---:|
+| 0.29–0.54 | 2,002 | 53.4% |
+| 0.54–0.60 | 2,002 | 54.4% |
+| 0.60–0.66 | 1,998 | 52.9% |
+| 0.66–0.73 | 1,998 | 51.3% |
+| 0.73–0.99 | 2,000 | 53.8% |
+χ² p = 0.337. There is no meaningful trend: careful and less careful respondents answer the same way.
+## Limitations
+- **The sample is not representative.** Respondents are people using apps in Rapidata's network, not a
+  probability sample. IN, ES, PH, EG alone make up 46% of responses. The global
+  53.1% is **not** a population-weighted world estimate. Several large countries have very few
+  respondents: US 57, CN 11, ID 25, NG 7, MX 45, RU 0.
+- **Many respondents have no demographic data**: 49% have no age and
+  38% have no gender. The age and gender analyses cover only those who reported them,
+  who may differ from those who didn't.
+- **Machine translation**: the wording is not identical across languages ("sauce" covers different foods
+  in different cuisines, and "kiss on the mouth" carries different cultural weight).
+- **This is a hypothetical question.** People answered quickly in an app, so treat the results as a gut reaction.
+- **No multiple-comparison correction** was applied across the many breakdowns; focus on the large effects
+  (country, region, gender) rather than individual small cells.
+## Citation
+```bibtex
+@misc{rapidata_kiss_vs_sauce_2026,
+  title  = {Would You Rather: Kissing vs Sauce},
+  author = {jasoncorkill},
+  year   = {2026},
+  url    = {https://huggingface.co/datasets/jasoncorkill/would-you-rather-kissing-vs-sauce}
+}
+```
+Responses collected with [Rapidata](https://www.rapidata.ai).