notes
Reading the data
Good data display is not decoration; it is an argument you can check with your own eyes.
This is the science-data half of the kit. Same brand, same one accent, no rainbow: comparison tables, distributions, a single-hue heatmap, small multiples, error bars, and labeled figures.
A comparison table
The TM-style pattern: column groups, row groups, the best value in each row tinted (our oxblood wash, not amber), a featured column, and footnotes.
| Instant | Thinking | |||
|---|---|---|---|---|
| TML-small | Gemini-flash | GPT-realtime | Qwen-omni | |
| Streaming | ||||
| FD-bench V1latency (s) | 0.4 | 0.57 | 1.63 | 2.14 |
| FD-bench V1.5average | 77.8 | 54.3 | 47.8 | 39 |
| Turn-based | ||||
| Audio MultiChallengeAPR % | 43.4 | 26.8 | 48.5 | - |
| IFEvalaccuracy % | 89.7 | 85.8 | 95.2 | 83.4 |
- Illustrative sample data, not a real benchmark.
A distribution
The real BTC monthly returns, as a histogram and a box plot:
A single-hue heatmap
Correlation reads fine without a rainbow; intensity is just the accent mixed into the ground:
Small multiples
The same series, split so the calm years and the violent ones are obvious at a glance:
Risk against return, with error bars
Bulleted paragraphs
When each point needs a sentence, not a phrase, the lead-in bolds and the rest explains. Square markers, hanging indent, generous spacing:
- Reversibility first. The cheapest information is finding out you were wrong while it is still easy to change your mind. A weekend test beats a year of planning, almost every time.
- Speed of feedback. A decision you cannot evaluate for a decade is mostly a bet on your own story. Prefer the ones reality grades quickly, and let it grade them.
- Survivability over optimality. Size the choice so that being wrong is a lesson, not a wound. Then you can afford to be wrong often, which is the only way to ever be right a lot.
A labeled figure
- Pins sit on the image; the legend explains them in order.
- Numbered, accent-filled, with a ring so they read on any photo.
A framed diagram
What I know now is that the brand survives data just fine, as long as the data obeys the same rules as the prose: one accent, sans labels, tabular figures, and no decoration that is not also information.
Wu · Da Nang · May 2026
Scaffold sample: the science-data kit, exercised. Comparison table, distribution, heatmap, small multiples, error bars, annotated figure, framed diagram.