Every browser leaks small details as it renders a page: the exact way it draws text to a canvas, which fonts are installed, your timezone and language, the graphics card behind WebGL, and the sound your audio stack produces. On their own these look harmless. Combined, they often single out one browser in millions, which is how sites recognise you after you have cleared cookies or switched to a private window. Fingerprint Radar measures those same signals and shows you the result as a real number.
For each signal it looks up how common your value is, then computes its Shannon entropy in bits: a value shared by half of all browsers adds 1 bit, a value shared by one in a thousand adds about 10. Adding the bits gives a total, which becomes a plain "1 in N browsers look like yours" estimate and a Low, Medium, or High identifiability band. Open any signal in the breakdown to read what it measured and why it narrows down who you are.
Nothing you see here is uploaded. Every signal is read and every bit is calculated in this tab, with no analytics and no network calls. The fonts are bundled with the page rather than loaded from a font CDN, so even loading the site does not hand your address to a third party.
Watch the scope: each blip is one measured signal, sized by how much it gives away. The number at the centre is your total entropy in bits. More bits mean a rarer, easier-to-single-out browser. A high score is not a virus or a warning; it just means your particular combination of settings is uncommon. The most effective ways to blend in are using a mainstream browser at its default window size and avoiding unusual font or extension setups. Reload at any time to recompute from scratch.