{"id":65470,"date":"2026-09-29T12:26:56","date_gmt":"2026-09-29T09:26:56","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=65470"},"modified":"2026-09-29T15:19:08","modified_gmt":"2026-09-29T12:19:08","slug":"binomial-distribution-calculator","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/binomial-distribution-calculator\/","title":{"rendered":"Binomial Distribution Calculator"},"content":{"rendered":"<section class=\"not-prose calculator-box\" aria-labelledby=\"calculator-title\"><div class=\"flex items-baseline sm:items-center justify-between gap-2 sm:gap-3\"><div class=\"flex flex-col sm:flex-row sm:items-center gap-2\"><span class=\"icon icon-calculator text-primary-700! text-base! dark:text-primary-300!\" aria-hidden=\"true\"><\/span><h2 id=\"calculator-title\" class=\"text-lg font-display font-bold\">Calculate Binomial Probabilities<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"65470\" data-favorite-title=\"Binomial Distribution\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/binomial-distribution-calculator\/\" data-favorite-excerpt=\"Calculate binomial probabilities: P(X = k), cumulative P(X \u2264 k), P(X \u2265 k), or a range of successes. Enter the number of trials, the success probability, and k to get the mean, variance, and standard deviation too.\" aria-label=\"Add to Favorites\" data-favorite-icon=\"icon icon-wpcalc-distribution-histogram\">\n    <span class=\"icon icon-shape-star-empty\" aria-hidden=\"true\"><\/span>\n  <\/button>\n  <div class=\"calcdash-favorite__tip\" aria-hidden=\"true\">\n   <span class=\"favorite-tooltip\" id=\"favorite-tooltip\"><\/span>\n  <\/div>\n  <span class=\"sr-only\" role=\"status\" id=\"favorite-status\"><\/span>\n<\/div><\/div><form action=\"https:\/\/wpcalc.com\/en\/statistics\/binomial-distribution-calculator\/\" method=\"POST\" class=\"calculator\" id=\"calculator-65470\" data-post=\"65470\"><fieldset class=\"fieldset-input is-1\"><legend class=\"sr-only\">Input Fields<\/legend><div class=\"field has-term\" id=\"input-1\"><label for=\"field-1\">Number of trials (n)<\/label><div class=\"term\">n<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"number_of_trials_n\" id=\"field-1\" aria-describedby=\"calc-info-1\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 10\" min=\"1\" max=\"10000\" value=\"10\"\/><small id=\"calc-info-1\">Number of independent Bernoulli trials. Whole number from 1 to 10,000.<\/small><\/div><div class=\"field has-term\" id=\"input-2\"><label for=\"field-2\">Probability of success (p)<\/label><div class=\"term\">p<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"probability_of_success_p\" id=\"field-2\" aria-describedby=\"calc-unit-2 calc-info-2\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 50\" min=\"0\" max=\"100\" value=\"50\"\/><div class=\"unit\" id=\"calc-unit-2\">%<\/div><small id=\"calc-info-2\">Chance of success on a single trial, from 0% to 100%.<\/small><\/div><div class=\"field\" id=\"input-3\"><label for=\"field-3\">Successes of interest<\/label><div class=\"grid grid-cols-1\"><select id=\"field-3\" name=\"successes_of_interest\"><option value=\"exact\" selected>Exactly k successes<\/option><option value=\"range\">Between k\u2081 and k\u2082 successes<\/option><\/select><svg class=\"pointer-events-none col-start-1 row-start-1 mr-2 size-5 self-center justify-self-end text-gray-500 sm:size-4\" viewBox=\"0 0 16 16\" fill=\"currentColor\" aria-hidden=\"true\" data-slot=\"icon\">\n              <path fill-rule=\"evenodd\" d=\"M4.22 6.22a.75.75 0 0 1 1.06 0L8 8.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 7.28a.75.75 0 0 1 0-1.06Z\" clip-rule=\"evenodd\" \/>\n            <\/svg><\/div><\/div><div class=\"field has-term\" id=\"input-4\"><label for=\"field-4\">Number of successes (k)<\/label><div class=\"term\">k<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"number_of_successes_k\" id=\"field-4\" aria-describedby=\"calc-info-4\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 5\" min=\"0\" value=\"5\"\/><small id=\"calc-info-4\">Whole number from 0 to n. In range mode this is the lower bound k\u2081.<\/small><\/div><div class=\"field has-term\" id=\"input-5\" hidden><label for=\"field-5\">Upper bound (k\u2082)<\/label><div class=\"term\">k\u2082<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"upper_bound_k\" id=\"field-5\" aria-describedby=\"calc-info-5\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 7\" min=\"0\" value=\"7\"\/><small id=\"calc-info-5\">Upper bound of the range. Must be at least k\u2081.<\/small><\/div><\/fieldset><div class=\"buttons\"><button type=\"submit\" data-text=\"Re-Calculate\" id=\"calculate-button\" data-post=\"65470\">Calculate<\/button><button type=\"reset\">Reset<\/button><\/div><div class=\"field is-checkbox hidden!\" id=\"field-auto-calc\"><input type=\"checkbox\" id=\"auto-calc\"><label for=\"auto-calc\">Calculate automatically<\/label><small>If enabled, the result will update automatically when you change any value.<\/small><\/div><div class=\"fieldset-result is-hidden\" aria-labelledby=\"result-title\" aria-live=\"polite\" role=\"region\"> <h3 class=\"result-title bg-gradient-to-r from-primary-50 to-gray-50 dark:from-primary-900 dark:to-gray-800\" id=\"result-title\"><span class=\"icon icon-s-pulse\" aria-hidden=\"true\"><\/span> Your Results<\/h3><div class=\"result-box\"><div class=\"field-result\" id=\"output-1\"><span class=\"field-title\"><span>P(X = k)<\/span><span class=\"result-term\">pmf<\/span><\/span><span class=\"field-value\" id=\"result-1\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-2\"><span class=\"field-title\"><span>P(X \u2264 k)<\/span><span class=\"result-term\">cdf<\/span><\/span><span class=\"field-value\" id=\"result-2\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-3\"><span class=\"field-title\"><span>P(X \u2265 k)<\/span><\/span><span class=\"field-value\" id=\"result-3\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-4\"><span class=\"field-title\"><span>P(k\u2081 \u2264 X \u2264 k\u2082)<\/span><\/span><span class=\"field-value\" id=\"result-4\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-5\"><span class=\"field-title\"><span>Mean<\/span><span class=\"result-term\">\u03bc<\/span><\/span><span class=\"field-value\" id=\"result-5\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-6\"><span class=\"field-title\"><span>Variance<\/span><span class=\"result-term\">\u03c3\u00b2<\/span><\/span><span class=\"field-value\" id=\"result-6\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-7\"><span class=\"field-title\"><span>Standard deviation<\/span><span class=\"result-term\">\u03c3<\/span><\/span><span class=\"field-value\" id=\"result-7\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result is-column\" id=\"output-8\"><span class=\"field-title\"><span>Interpretation &amp; details<\/span><\/span><span class=\"field-value\" id=\"result-8\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><\/div><div class=\"result-actions\"><button type=\"button\" class=\"copy-link\"><svg viewBox=\"0 0 20 20\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M12.232 4.232a2.5 2.5 0 0 1 3.536 3.536l-1.225 1.224a.75.75 0 0 0 1.061 1.06l1.224-1.224a4 4 0 0 0-5.656-5.656l-3 3a4 4 0 0 0 .225 5.865.75.75 0 0 0 .977-1.138 2.5 2.5 0 0 1-.142-3.667l3-3Z\"\/><path d=\"M11.603 7.963a.75.75 0 0 0-.977 1.138 2.5 2.5 0 0 1 .142 3.667l-3 3a2.5 2.5 0 0 1-3.536-3.536l1.225-1.224a.75.75 0 0 0-1.061-1.06l-1.224 1.224a4 4 0 1 0 5.656 5.656l3-3a4 4 0 0 0-.225-5.865Z\"\/><\/svg><span class=\"copy-link__text\">Copy link to this calculation<\/span><\/button><span class=\"sr-only\" role=\"status\" id=\"copy-link-status\"><\/span><\/div><\/div><a href=\"#respond\" class=\"hidden transition-opacity duration-300 opacity-0 w-50 text-sm justify-center items-center gap-2 px-4 py-2 rounded bg-gray-200 text-gray-700 hover:bg-gray-300\" id=\"leave-comment\"><span class=\"icon icon-comments\" aria-hidden=\"true\"><\/span>Leave a Comment<\/a><\/form><\/section><section id=\"calc-reactions\" class=\"not-prose hidden my-12 bg-gradient-to-r from-primary-50 to-gray-50 border border-indigo-100 rounded-xl px-6 py-4 shadow-sm\" data-post=\"65470\" aria-live=\"polite\" aria-labelledby=\"calc-reactions-title\"><p id=\"calc-reactions-title\" class=\"text-sm text-gray-500 text-center mb-2\">How did this result make you feel?<\/p><div role=\"group\" aria-labelledby=\"calc-reactions-title\" class=\"grid grid-cols-3 sm:flex sm:flex-row sm:justify-around gap-4 sm:items-center sm:flex-wrap\"><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"like\"><span class=\"reaction-count\" data-reaction-count=\"like\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude00 <\/span><span class=\"reaction-description font-medium\">Like <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"helpful\"><span class=\"reaction-count\" data-reaction-count=\"helpful\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\udca1 <\/span><span class=\"reaction-description font-medium\">Helpful <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"confused\"><span class=\"reaction-count\" data-reaction-count=\"confused\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude15 <\/span><span class=\"reaction-description font-medium\">Confused <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"disappointed\"><span class=\"reaction-count\" data-reaction-count=\"disappointed\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude1e <\/span><span class=\"reaction-description font-medium\">Disappointed <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"inaccurate\"><span class=\"reaction-count\" data-reaction-count=\"inaccurate\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\u274c <\/span><span class=\"reaction-description font-medium\">Inaccurate <\/span><\/button><\/div><div id=\"reaction-message\" class=\"hidden mt-8 rounded-md border border-primary-100 bg-white\/50 backdrop-blur-sm px-4 py-2 text-sm text-center shadow-sm\"><\/div><\/section><div class=\"calcdash-ad not-prose calcdash-ad--calc_result calcdash-ad--in-article\"><ins class=\"adsbygoogle\" style=\"display:block\" data-ad-client=\"ca-pub-1721569815777345\" data-ad-slot=\"6317458308\" data-ad-layout=\"in-article\" data-ad-format=\"fluid\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><\/div>\n<style id=\"wpcoderpro-inline-1\">.formula-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section class=\"formula-box\" aria-labelledby=\"formula-title\">\r\n\t<div id=\"formula-title\" class=\"not-prose font-display mb-4\"><span class=\"icon icon-formula\" aria-hidden=\"true\"><\/span><h2>Binomial Distribution Formula<\/h2><\/div>\r\n\t<figure class=\"not-prose formula\">\r\n\t\t<figcaption class=\"formula-title\">Formula<\/figcaption>\r\n\t\t<div class=\"text-base text-gray-800\" id=\"formula\">\n\\[ P(X = k) = \\binom{n}{k} p^k (1-p)^{n-k}, \\qquad \\binom{n}{k} = \\frac{n!}{k!\\,(n-k)!} \\\\ P(X \\le k) = \\sum_{i=0}^{k} \\binom{n}{i} p^i (1-p)^{n-i}, \\qquad P(X \\ge k) = 1 - P(X \\le k-1) \\\\ \\mu = np, \\qquad \\sigma^2 = np(1-p), \\qquad \\sigma = \\sqrt{np(1-p)} \\]\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p><strong>Where:<\/strong><\/p>\n<ul>\n<li>\\(n\\) \u2014 number of independent trials<\/li>\n<li>\\(p\\) \u2014 probability of success on a single trial (between 0 and 1)<\/li>\n<li>\\(k\\) \u2014 number of successes of interest (\\(0 \\le k \\le n\\))<\/li>\n<li>\\(\\binom{n}{k}\\) \u2014 binomial coefficient, the number of ways to choose \\(k\\) successes out of \\(n\\) trials<\/li>\n<li>\\(\\mu\\), \\(\\sigma^2\\), \\(\\sigma\\) \u2014 mean, variance, and standard deviation of the distribution<\/li>\n<\/ul>\n<p>The first formula gives the probability mass function (pmf): the chance of exactly \\(k\\) successes in \\(n\\) trials. The second gives the cumulative distribution (cdf), the chance of at most \\(k\\) successes, obtained by summing the pmf from 0 to \\(k\\).<\/p>\n<p>\r\n<\/section>\n<style id=\"wpcoderpro-inline-459\">.calculation-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section id=\"calculation\" class=\"calculation-box\" aria-labelledby=\"calculation-title\">\r\n\t<div id=\"calculation-title\" class=\"not-prose font-display\"><span class=\"icon icon-unordered-list\" aria-hidden=\"true\"><\/span><h2>Binomial Distribution \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> a fair coin is flipped 10 times. What is the probability of getting exactly 5 heads? Here \\(n = 10\\), \\(p = 0.5\\), \\(k = 5\\).<\/p>\n<p>\\[ P(X = 5) = \\binom{10}{5} (0.5)^5 (0.5)^{10-5} = 252 \\cdot \\frac{1}{1024} = 0.246094 \\approx 24.61\\% \\]<\/p>\n<p>\\[ P(X \\le 5) = \\sum_{i=0}^{5} \\binom{10}{i}(0.5)^{10} = \\frac{638}{1024} = 0.623047 \\approx 62.30\\% \\]<\/p>\n<p>\\[ \\mu = 10 \\cdot 0.5 = 5, \\qquad \\sigma^2 = 10 \\cdot 0.5 \\cdot 0.5 = 2.5, \\qquad \\sigma = \\sqrt{2.5} \\approx 1.5811 \\]<\/p>\n<p><strong>Result:<\/strong> P(X = 5) = 0.246094 (24.61%), P(X \u2264 5) = 0.623047 (62.30%), P(X \u2265 5) = 0.623047 (62.30%), mean = 5, variance = 2.5, standard deviation \u2248 1.5811.<\/p>\n<p>\n\r\n<\/section>\n<h2>How to use the calculator<\/h2>\n<ol>\n<li>Enter the <strong>Number of trials (n)<\/strong> \u2014 a whole number from 1 to 10,000.<\/li>\n<li>Enter the <strong>Probability of success (p)<\/strong> as a percentage between 0% and 100% (e.g. enter 50 for a fair coin).<\/li>\n<li>Choose the mode under <strong>Successes of interest<\/strong>: \u201cExactly k successes\u201d for a single value, or \u201cBetween k\u2081 and k\u2082 successes\u201d for a range.<\/li>\n<li>Enter the <strong>Number of successes (k)<\/strong>. In range mode this is the lower bound k\u2081.<\/li>\n<li>If you selected the range mode, also enter the <strong>Upper bound (k\u2082)<\/strong>, which must be at least k\u2081.<\/li>\n<li>Read the results: P(X = k), P(X \u2264 k), P(X \u2265 k), and in range mode P(k\u2081 \u2264 X \u2264 k\u2082), plus the mean, variance, and standard deviation. The interpretation block also lists complementary probabilities such as P(X &lt; k) and P(X &gt; k).<\/li>\n<\/ol>\n<h2>What is the binomial distribution?<\/h2>\n<p>The binomial distribution models the number of successes in a fixed number of independent trials, where each trial has the same probability of success \\(p\\). Each trial has exactly two outcomes \u2014 success or failure \u2014 which is why it is called a Bernoulli trial. Classic examples include the number of heads in a series of coin flips, the number of defective items in a sample, or the number of patients who respond to a treatment.<\/p>\n<p>The mean of the distribution is \\(\\mu = np\\): on average you expect \\(n \\cdot p\\) successes. The spread is measured by the variance \\(\\sigma^2 = np(1-p)\\) and the standard deviation \\(\\sigma\\). When \\(p = 0.5\\) the distribution is symmetric around \\(n\/2\\); when \\(p\\) is close to 0 or 1 it becomes skewed, piling up near 0 or near \\(n\\).<\/p>\n<p>The calculator distinguishes between exact and cumulative probabilities. The pmf answers \u201cwhat is the chance of exactly k successes\u201d, while the cdf answers \u201cwhat is the chance of at most k successes\u201d. Cumulative values are often more useful in practice: for example, if k is a quality threshold, P(X \u2264 k) tells you the probability of staying within the limit, and 1 \u2212 P(X \u2264 k) tells you the probability of exceeding it. Note that P(X \u2265 k) includes k itself; if you need strictly more than k, use P(X &gt; k) = 1 \u2212 P(X \u2264 k), shown in the interpretation block.<\/p>\n<h2>Assumptions, limitations and tips<\/h2>\n<ul>\n<li><strong>Fixed number of trials.<\/strong> \\(n\\) must be set in advance. If the number of trials itself is random, a different model (e.g. the Poisson distribution) is more appropriate.<\/li>\n<li><strong>Independence.<\/strong> The outcome of one trial must not affect another. Sampling without replacement from a small population violates this; use the hypergeometric distribution instead.<\/li>\n<li><strong>Constant success probability.<\/strong> \\(p\\) must be the same for every trial. If it changes from trial to trial, the binomial model no longer applies.<\/li>\n<li><strong>Large n.<\/strong> The calculator uses a numerically stable log-gamma method, so it handles large \\(n\\) (up to 10,000) without overflow. For very small probabilities the result is shown in scientific notation.<\/li>\n<li><strong>Interpreting tiny probabilities.<\/strong> A result like \u201c\u2248 0%\u201d does not mean impossible \u2014 it can simply mean the probability is smaller than about \\(10^{-8}\\). Check the decimal value shown alongside the percentage.<\/li>\n<li><strong>Rule of thumb for approximation.<\/strong> For large \\(n\\) with \\(np\\) and \\(n(1-p)\\) both greater than about 5, the binomial distribution is well approximated by a normal distribution with mean \\(np\\) and standard deviation \\(\\sqrt{np(1-p)}\\) \u2014 handy for quick mental estimates.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Calculate binomial probabilities: P(X = k), cumulative P(X \u2264 k), P(X \u2265 k), or a range of successes. Enter the number of trials, the success probability, and k to get the mean, variance, and standard deviation too.<\/p>\n","protected":false},"author":3168,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[74],"tags":[77],"class_list":["post-65470","post","type-post","status-publish","format-standard","hentry","category-statistics","tag-distributions"],"acf":[],"_links":{"self":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65470","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/users\/3168"}],"replies":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/comments?post=65470"}],"version-history":[{"count":3,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65470\/revisions"}],"predecessor-version":[{"id":65673,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65470\/revisions\/65673"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=65470"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=65470"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=65470"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}