The Palm, the Histogram, and the “Grey Card Is Dead” Myth

Some comments on YouTube led me to tell how I actually use digital cameras and measure light with the palm of my hand.  All photos shown are done with the Leica M9, Summilux 50mm f1.4 and light measured as described.

There’s a comment I keep seeing whenever someone mentions metering off a hand or a grey card:

This advice is for film, not digital. Digital is linear. Correct exposure is ETTR. Everything else is wrong. The grey card is dead. Long live the histogram.

It’s a confident take, and parts of it are true. But the conclusion is too absolute — and in real photographic work, absolutes tend to break down fast.

This post is my calm, practical take on the debate, and how I use the palm-of-the-hand method on digital cameras without fighting what digital sensors are actually good at.

If you want to watch the video before reading more, you can do so here.

What do people mean when they say “digital is linear”

Digital RAW capture is (mostly) linear. In simple terms: if you double the amount of light hitting the sensor, the RAW values roughly double. Because of that, more of the available RAW tonal precision lives in the brighter stops than in the darker stops.

That’s why ETTR (Expose To The Right) became a thing: if you expose brighter — without clipping important highlights — you often get cleaner shadows when you normalize the brightness later.

That part is real and useful.

But “useful” is not the same as “always correct,” and it doesn’t magically replace metering as a concept. It’s simply one strategy for optimizing noise, under specific conditions.

The hidden catch: the histogram is not pure RAW truth

Here’s the practical problem with “just use the histogram” as a universal rule:

Most in-camera histograms and highlight warnings are based on a JPEG preview, not the RAW data. That preview depends on picture style, contrast curve, saturation, and white balance. So the histogram can be conservative (show clipping early) or sometimes hide what’s happening in individual channels.

In other words: the histogram is a helpful guide, when available, but not a scientific instrument. It’s absolutely worth using, but it’s not automatically more “correct” than every other method.

And the big AND is, it takes away the attention on the situations happening on the streets. Using the palm of the hand to make a quick evaluation of the light, representing skin tones, gives a very good heads up.

So is metering off a palm or grey card “film thinking”?

No. It’s not film thinking. It’s reflective metering with intent.

The palm/grey card approach is simply a way to say:

“I want a consistent exposure baseline in this exact light, independent of the background.”

That’s not outdated — that’s control.

The reason it worked with film is the same reason it works with digital: you’re placing a known reference tone in the scene. The medium changes how forgiving mistakes are, but the logic of using a reference doesn’t suddenly become “wrong.”

The real difference: highlight behavior and forgiveness

Where digital differs from (especially) color negative film is highlight handling. Film (color negative) tends to roll off highlights gently and tolerate overexposure gracefully.

Digital tends to clip highlights more abruptly. Once the RAW channel is clipped, detail is gone. That means any method that encourages “more exposure” must be used with highlight awareness.

So my philosophy on digital is:

Start with a consistent baseline, then protect highlights when the scene demands it.

Leica M9 realities that shape my approach

The Leica M9 is a very particular digital camera — in a good way. But it’s also from a different era than today’s modern CMOS bodies.

A few M9 facts that directly affect exposure workflow:

  • The M9 meters through the lens at the working aperture, measuring light reflected from the shutter curtain/blades (TTL off the shutter).
  • It offers different histogram displays, including RGB (separate channels).
  • Base/optimal image quality is at ISO 160, with higher ISO bringing more noise.

And because I shoot RAW + JPEG sidecar, I treat the JPEG as a useful “contact sheet” and exposure feedback tool — while remembering the histogram is based on that rendered preview on M10 and M11 for example.

Testing the palm exposure trick on the Paris workshop.

My workflow: baseline first, histogram as a safety check on other cameras than the M9

I’ll describe exactly how I work with it.

A) I use the palm method as a fast baseline.

When the light is consistent (street, open shade, indoor window light, overcast), I meter off my palm because it’s fast and always with me.

How I do it:

First of all, it’s important to set ISO, aperture and shutter speed manually.

  • Put my palm in the same light as the subject (this part matters more than anything).
  • Fill most of the frame with the palm (center-weighted metering).
  • Take the meter reading. and set it to neutral.
  • Apply my “palm offset.”

The offset: Most people land around +1 stop from the palm reading, but it’s personal. Skin tone, how red your palm is, and even camera metering behavior changes it.

I don’t treat +1 as a law. I treat it as a starting point I’ve tested for my look.

B) I calibrate my palm once, then I trust it

If you want this method to be reliable, do a quick calibration once:

  • In stable light, photograph a grey card and your palm in the same light.
  • Compare exposures.
  • The difference is your personal palm offset.

Once you’ve got that number, the method stops being “folklore” and becomes a repeatable tool.

  • I take the baseline exposure.
  • I check highlight warnings or histogram if important on my Sony or M11 for example
  • If important highlights are at risk, I pull back 1/3 to 2/3 stop (or more, depending).

This is the key point: I don’t use palm OR histogram. I use palm THEN histogram, when it matters.

That’s how it stays fast and still protects highlights.

Where ETTR fits into my approach (and where it doesn’t)

Expose to the Right (ETTR) is a digital photography technique where you intentionally increase exposure to push the histogram as far to the right as possible without clipping highlights. By maximising light collection, ETTR maximises signal-to-noise ratio, resulting in higher-quality files with less noise in shadows and richer, cleaner colour data.

ETTR is a tool.

  • Shoot in RAW
  • The scene has highlight headroom
  • Care about maximum shadow quality (high ISO, deep shadows, low-key scenes I intend to lift)

I don’t chase ETTR in general and when/because:

  • The scene has specular highlights everywhere (sun on skin, reflections, metallic surfaces)
  • Highlights are part of the story (white dress, pale skin in sun, clouds)
  • I need speed and consistency across many frames
  • I’m shooting with a look in mind rather than “maximum data”

Because here’s the thing: photography isn’t a data contest. It’s a picture.

“Exposing for a particular tone is a mistake” — I disagree (gently)

If I’m photographing a person, I absolutely care where skin lands. Not because I misunderstand sensors, but because it’s part of the visual language of the image.

Placing tones is not “film-only.” It’s what you do when you want consistent results in changing environments.

Digital doesn’t remove the need for judgment. It just gives you different limits.

Practical scenarios (how it plays out in real life)

Scenario 1: Street in open shade

  • I palm-meter, apply my offset, and shoot.
  • I barely look at the histogram because the light is gentle and repeatable. Result: Consistent exposure across backgrounds, fast workflow. I often take one test picture I evaluate on my screen shortly, and adjust afterwards if needed.

Scenario 2: Harsh sun, faces and white shirts

  • I palm-meter as a starting point.
  • I may check blinkies or just adjust the exposure.
  • If the shirt or forehead is clipping in an ugly way, I pull exposure back. Result: Highlights stay clean, and I lift shadows later if needed.

Scenario 3: Backlit subject

  • Palm-meter in the same light falling on the subject (not in the shade where I’m standing).
  • Then underexposure one or two stops to create a natural or more dramatic picture.
    Result: Subject exposure stays stable, background does what it does.

Scenario 4: Indoor mixed light (window + tungsten)

  • Palm can lie here because light is mixed and changing across surfaces.
  • I’ll often switch to a more deliberate method: meter off a face I care about, check histogram, adjust. Result: Fewer surprises.The takeaway: the grey card isn’t dead, and neither is your hand

The “grey card is dead” line makes for a strong comment, but real-world photography is about balancing:

  • speed

  • consistency

  • highlight protection

  • noise

  • intent (what you want the photo to feel like)

A grey card is still a great reference. Your palm can still be a great reference. The histogram is still useful. None of these tools replace the others.

My method is simple: Use a reference to get consistent exposure quickly, then use digital feedback (histogram/blinkies) when the scene is risky.

That’s it. That’s the whole “secret.”

Digital isn’t “histogram-only.” Digital is “reference plus verification.”

Learn more

If you like the approach on photography I share, why not take it into real life and join a workshop. Check dates and availability on the workshop page.


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