Electric Blood
#e23d2a
A red that is saturated. It is light — black text sits on it comfortably, white text does not.
Hex
#e23d2a
RGB
226, 61, 42
OKLCh
60.6% 0.204 30.4°
CIELAB (D50)
52.3, 63.3, 50.3
What is true of this colour, and of no other
- 18 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 85% 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 68.0; on black, Lc -33.7. 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 39.4 and 43.5 and 47.8 — no red cone.
Text on this colour
White text
4.26:1 — large text only
Black text
4.93:1 — passes AA
Black text is the better of the two at4.93:1. That is enough for body text.
As text on white, it needs to change
#dd3825 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
#e23d2a
protanopia
#64642d · ΔE00 39.4
deuteranopia
#8a8a14 · ΔE00 43.5
tritanopia
#a9a900 · ΔE00 47.8
The twelve nearest named colours
Ranked by CIEDE2000 — perceptual distance, not hex arithmetic. The closest isWistful Longing at ΔE00 0.483: below 1.0 — an ordinary observer cannot tell these apart, even side by side. What the numbers mean.
- Wistful LongingΔE00 0.483 · #e33928
- Lionfish RedΔE00 0.57 · #e03c28
- SatanΔE00 0.847 · #e63626
- Raiden’s FuryΔE00 0.855 · #e34029
- Safflower ScarletΔE00 1.027 · #e83929
- Ceremonial Red RibbonΔE00 1.414 · #e63127
- Goblet WaxcapΔE00 1.541 · #db4731
- Matt DemonΔE00 1.611 · #dd4433
- Vampire RedΔE00 1.68 · #dd4132
- Bacon StripsΔE00 1.75 · #df3f32
- Hunter’s OrangeΔE00 1.757 · #db472c
- PunchΔE00 1.779 · #dc4333
7 of these have no page of their own: pages exist for the 4,961 colours the dataset marks as good names.