Ceremonial Red Ribbon
#e63127
A red that is saturated. It is light — black text sits on it comfortably, white text does not.
Hex
#e63127
RGB
230, 49, 39
OKLCh
60.2% 0.217 28.8°
CIELAB (D50)
51.8, 67.9, 51.7
What is true of this colour, and of no other
- 17 other named colours sit within ΔE00 2 of it — this part of the space is crowded, and the names here are finer distinctions than most people make.
- It uses 88% of the chroma sRGB can show at this lightness and hue — close enough to the boundary that a wider display would show it slightly more vividly.
- As text on white it measures APCA Lc 68.3; on black, Lc -33.3. The sign is the polarity, which the WCAG ratio discards.
- Built into an eleven-step scale, 10 of the 10 adjacent pairs stay ΔE00 2 apart — see the ramp.
- protanopia and deuteranopia and tritanopia shift it by ΔE00 40.7 and 45.3 and 49.7 — no red cone.
Text on this colour
White text
4.34:1 — large text only
Black text
4.83:1 — passes AA
Black text is the better of the two at4.83:1. That is enough for body text.
As text on white, it needs to change
#e32d24 is the nearest colour of the same hue that passes AA on white, at 4.50:1. Only the lightness moved.
The same colour, with one cone missing
As you see it
#e63127
protanopia
#60602a · ΔE00 40.7
deuteranopia
#8a8a0b · ΔE00 45.3
tritanopia
#abab00 · ΔE00 49.7
The twelve nearest named colours
Ranked by CIEDE2000 — perceptual distance, not hex arithmetic. The closest isKrasnyi Red at ΔE00 0.935: below 1.0 — an ordinary observer cannot tell these apart, even side by side. What the numbers mean.
- Krasnyi RedΔE00 0.935 · #eb2e28
- SatanΔE00 0.941 · #e63626
- Wistful LongingΔE00 0.99 · #e33928
- Ken Masters RedΔE00 1.023 · #ec2c25
- Safflower ScarletΔE00 1.353 · #e83929
- Ottoman RedΔE00 1.362 · #ee2222
- Electric BloodΔE00 1.414 · #e23d2a
- Lionfish RedΔE00 1.514 · #e03c28
- First BloodΔE00 1.613 · #ed1c24
- LustΔE00 1.643 · #e62020
- Bloodmyst IsleΔE00 1.682 · #f02723
- Naga Viper PepperΔE00 1.738 · #ed292b
7 of these have no page of their own: pages exist for the 4,961 colours the dataset marks as good names.