{"id":1861,"date":"2026-06-26T14:40:54","date_gmt":"2026-06-26T14:40:54","guid":{"rendered":"https:\/\/adrencoder.com\/blog\/uncategorized-en\/mv-mpv-or-pv-which-speed-metric-to-use-in-vbt\/"},"modified":"2026-06-26T14:40:54","modified_gmt":"2026-06-26T14:40:54","slug":"mv-mpv-or-pv-which-speed-metric-to-use-in-vbt","status":"publish","type":"post","link":"https:\/\/adrencoder.com\/blog\/en\/sports-encoder-and-vbt-en\/mv-mpv-or-pv-which-speed-metric-to-use-in-vbt\/","title":{"rendered":"MV, MPV or PV: which speed metric to use in VBT"},"content":{"rendered":"<p class=\"wp-block-paragraph\">When you start using a sports encoder, one of the first questions that appears is this: <strong>what speed metric should I use?<\/strong> Most devices offer three options \u2014 mean velocity (MV), mean propulsive velocity (MPV), and peak velocity (PV) \u2014 and it is not always clear which is most appropriate for each objective.<\/p>\n<p class=\"wp-block-paragraph\">The choice is not trivial. Depending on the metric you use, the estimate of %1RM may vary, the reliability of your measurements changes, and the conclusions you draw about the athlete&#8217;s condition may be different. A study by Garc\u00eda-Ramos et al. published in the <em>Journal of Strength and Conditioning Research<\/em> in 2018 systematically compared the three metrics in the bench press and offers concrete answers.<\/p>\n<h2 class=\"wp-block-heading\">What each metric measures: precise definitions<\/h2>\n<p class=\"wp-block-paragraph\">Before comparing, it is important to be clear about what exactly each variable calculates:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Average speed (MV)<\/strong>: average speed from the beginning of the concentric phase until the bar reaches maximum height. It includes the entire concentric phase, both the propulsive phase and the final braking phase.<\/li>\n<li><strong>Average propulsive speed (MPV)<\/strong>: average velocity during the propulsive phase only \u2014 from the beginning of the concentric phase to the point where the acceleration of the rod falls below gravity (-9.81 m\/s\u00b2). Excludes the final deceleration phase.<\/li>\n<li><strong>Peak Velocity (PV)<\/strong>: the maximum instantaneous value of velocity reached during the entire concentric phase.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">The difference between MV and MPV is especially relevant for light loads. At 40% of 1RM, the end-of-stroke braking phase can represent a significant portion of the movement \u2014 including it makes MV lower than MPV. As the load increases and the braking phase is reduced, MV and MPV converge and from 70-75% of 1RM they practically coincide.<\/p>\n<h2 class=\"wp-block-heading\">The study: what was compared and how<\/h2>\n<p class=\"wp-block-paragraph\">Garc\u00eda-Ramos et al. evaluated 30 men with experience in strength training performing two variants of the bench press throw: concentric only and eccentric-concentric. In each session they measured the three speed metrics in loads from 20% to 100% of 1RM, comparing three key aspects:<\/p>\n<ul class=\"wp-block-list\">\n<li>The <strong>linearity<\/strong> of the load-speed relationship for each metric.<\/li>\n<li>The <strong>precision<\/strong> of the general equations to predict %1RM from speed.<\/li>\n<li>The <strong>reliability between sessions<\/strong> of the speed obtained at each %1RM.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Finding 1: MV produces the most linear load-velocity relationship<\/h2>\n<p class=\"wp-block-paragraph\">All three metrics showed strong, linear load-velocity relationships \u2014 all with R\u00b2 above 0.95. But the VM was the one that produced the greatest linearity in both variants of the exercise:<\/p>\n<ul class=\"wp-block-list\">\n<li>MV: Median R\u00b2 = 0.989 (concentric only) and 0.993 (eccentric-concentric)<\/li>\n<li>MPV: Median R\u00b2 = 0.983 and 0.980<\/li>\n<li>PV: Median R\u00b2 = 0.974 and 0.969<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Greater linearity means that the relationship between load and speed is more predictable and consistent across the entire spectrum of loads \u2014 from 20% to 100% of 1RM. This makes it easier to estimate 1RM from submaximal loads.<\/p>\n<h2 class=\"wp-block-heading\">Finding 2: VM predicts %1RM more accurately<\/h2>\n<p class=\"wp-block-paragraph\">The accuracy of the general equations for predicting %1RM \u2014 measured as standard error of the estimate (SEE) \u2014 was better for MV in both variants:<\/p>\n<figure class=\"wp-block-table\">\n<table class=\"has-fixed-layout\">\n<thead>\n<tr>\n<th>Metrics<\/th>\n<th>SEE only concentric<\/th>\n<th>eccentric-concentric SEE<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>M.V.<\/strong><\/td>\n<td><strong>4.76% of 1RM<\/strong><\/td>\n<td><strong>3.80% of 1RM<\/strong><\/td>\n<\/tr>\n<tr>\n<td>MPV<\/td>\n<td>5.56% of 1RM<\/td>\n<td>4.91% of 1RM<\/td>\n<\/tr>\n<tr>\n<td>PV<\/td>\n<td>5.36% of 1RM<\/td>\n<td>5.77% of 1RM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p class=\"wp-block-paragraph\">In practical terms: if the actual 1RM is 100 kg, the MV estimates the %1RM with an average error of about 4-5 kg, while the MPV and PV have errors of 5-6 kg. It&#8217;s not a huge difference, but in contexts where precision matters \u2014 load planning in performance athletes, tracking over the course of a season \u2014 that difference adds up.<\/p>\n<h2 class=\"wp-block-heading\">Finding 3: PV is the most reliable between sessions, but with important nuances<\/h2>\n<p class=\"wp-block-paragraph\">This is the most counterintuitive finding of the study. PV showed the lowest coefficient of variation between sessions:<\/p>\n<ul class=\"wp-block-list\">\n<li>PV: CV = 3.50-3.87%<\/li>\n<li>MV: CV = 4.05-4.93%<\/li>\n<li>MPV: CV = 5.11-6.03%<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">This means that if you measure the peak velocity of the same athlete in the same exercise and the same load in two different sessions, the value varies less with PV than with MV or MPV. Apparently, PV would be the most consistent metric.<\/p>\n<p class=\"wp-block-paragraph\">However, the authors point out a fundamental technical nuance: <strong>the lower CV of the PV is partly explained by its higher absolute values<\/strong>. The coefficient of variation is calculated by dividing the measurement error by the average value \u2014 and since PV is always the highest value of the three metrics, the ratio is smaller even if the absolute error is similar or greater. When the authors analyze the standard error of measurement instead of the CV, the advantage of PV disappears.<\/p>\n<p class=\"wp-block-paragraph\">Furthermore, PV had the worst linearity and lowest precision of the overall equation. A very reliable metric between sessions but with less predictive capacity for %1RM has limited usefulness for the main objective of VBT.<\/p>\n<h2 class=\"wp-block-heading\">Why was MPV historically the most recommended?<\/h2>\n<p class=\"wp-block-paragraph\">Gonz\u00e1lez-Badillo and S\u00e1nchez-Medina, the historical references of VBT in Spanish, recommended for years the use of the MPV, arguing that it better reflects the real neuromuscular potential of the athlete \u2014 especially in light loads, where the braking phase at the end of the stroke \u201ccontaminates\u201d the MV with a deceleration that does not reflect the ability to produce force.<\/p>\n<p class=\"wp-block-paragraph\">The study by Garc\u00eda-Ramos et al. qualifies that recommendation: although the theoretical argument makes sense, in practice MV produces a more linear load-velocity relationship and more accurate %1RM prediction equations. The difference is not dramatic, but it is consistent across all comparisons in the study.<\/p>\n<p class=\"wp-block-paragraph\">The authors add another practical argument: MV is easier to calculate with most devices \u2014 linear encoders, mobile apps, accelerometers \u2014 because it does not require detecting the exact point where the acceleration falls below gravity, which is a more complex calculation and subject to technical errors in some systems.<\/p>\n<h2 class=\"wp-block-heading\">Summary table: when to use each metric<\/h2>\n<figure class=\"wp-block-table\">\n<table class=\"has-fixed-layout\">\n<thead>\n<tr>\n<th>Aim<\/th>\n<th>Recommended Metric<\/th>\n<th>Because<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Estimate %1RM and daily 1RM<\/td>\n<td><strong>M.V.<\/strong><\/td>\n<td>Greater linearity and lower prediction error<\/td>\n<\/tr>\n<tr>\n<td>Monitor speed at light loads (power, speed)<\/td>\n<td><strong>MPV or PV<\/strong><\/td>\n<td>Less affected by the braking phase at submaximum loads<\/td>\n<\/tr>\n<tr>\n<td>Evaluate maximum power and explosive performance<\/td>\n<td><strong>PV<\/strong><\/td>\n<td>Better reliability between sessions to compare performance<\/td>\n<\/tr>\n<tr>\n<td>Intra-series speed loss control<\/td>\n<td><strong>M.V.<\/strong><\/td>\n<td>Greater consistency across the load spectrum<\/td>\n<\/tr>\n<tr>\n<td>Compare data between devices or studies<\/td>\n<td><strong>M.V.<\/strong><\/td>\n<td>The most universal and easiest to calculate in any system<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<h2 class=\"wp-block-heading\">What this means for using the ADR Encoder<\/h2>\n<p class=\"wp-block-paragraph\">He <a href=\"https:\/\/adrencoder.com\/es\/encoder-deportivo-vbt\" rel=\"noreferrer noopener\" target=\"_blank\">ADR Encoder<\/a> records all three velocity metrics in real time during the concentric phase \u2014 <strong>average speed (MV), average propulsive speed (MPV) and maximum speed (PV)<\/strong> \u2014 and shows them simultaneously in the app <a href=\"https:\/\/adrencoder.com\/es\/adr-app\" rel=\"noreferrer noopener\" target=\"_blank\">ADR System<\/a> for each repetition. This gives you the flexibility to use the most appropriate metric according to the objective of each session or exercise, without having to choose beforehand.<\/p>\n<div style=\"background:#0F6E56;border-radius:12px;padding:20px 24px;display:flex;align-items:center;gap:16px;margin:2rem 0;flex-wrap:wrap;\">\n<img alt=\"ADR Encoder encoder lineal deportivo VBT\" decoding=\"async\" src=\"https:\/\/adrencoder.com\/blog\/wp-content\/uploads\/2026\/04\/encoder-deportivo-vbt-miniatura.jpg\" style=\"width:100px;height:auto;border-radius:5px;object-fit:contain;flex-shrink:0;\"\/><\/p>\n<div style=\"flex:1;min-width:180px;\">\n<p style=\"font-size:11px;color:#9FE1CB;margin:0 0 3px;text-transform:uppercase;letter-spacing:0.09em;font-weight:600;\">Recommended product<\/p>\n<p style=\"font-size:17px;font-weight:600;color:#fff;margin:0 0 3px;\">ADR Encoder<\/p>\n<p style=\"font-size:13px;color:#9FE1CB;margin:0;\">Speed, strength and power in real time \u00b7 Scientifically validated \u00b7 Free app \u00b7 <strong style=\"color:#fff;\">\u20ac249<\/strong><\/p>\n<\/div>\n<p><a href=\"https:\/\/adrencoder.com\/es\/encoder-deportivo-vbt\" style=\"display:inline-block;background:#1D9E75;color:#fff;text-decoration:none;border-radius:8px;font-size:13px;font-weight:600;padding:9px 18px;white-space:nowrap;flex-shrink:0;\" target=\"_blank\">See product \u2192<\/a>\n<\/div>\n<p class=\"wp-block-paragraph\">\n<p class=\"wp-block-paragraph\">In practice, for estimating daily 1RM and monitoring intra-set velocity loss, MV is the primary metric \u2014 supported by the evidence from this study. To evaluate explosive performance or power in ballistic exercises, PV is the natural complement. And for coaches working with protocols and references from the classic Gonz\u00e1lez-Badillo literature, the MPV is still available to maintain consistency with that data.<\/p>\n<p class=\"wp-block-paragraph\">Having all three metrics available on the same device is no small detail \u2014 it allows you to compare your data to any published study or reference, regardless of which metric each author used.<\/p>\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n<p class=\"wp-block-paragraph\">All three velocity metrics \u2014 MV, MPV, and PV \u2014 are valid and produce strong, linear load-velocity relationships. But they are not equivalent. The study by Garc\u00eda-Ramos et al. (2018) shows that the <strong>average velocity (MV) is the most appropriate to estimate %1RM<\/strong> with greater linearity, greater precision and greater reliability between sessions than the MPV. The PV has better apparent reliability between sessions but lower predictive capacity, which limits its usefulness for the main objective of VBT.<\/p>\n<p class=\"wp-block-paragraph\">The next time your encoder shows you three different metrics for the same repetition, you know which one to prioritize \u2014 and why.<\/p>\n<h2 class=\"wp-block-heading\">Frequently asked questions<\/h2>\n<h3 class=\"wp-block-heading\">What is mean propulsive speed (MPV) in VBT?<\/h3>\n<p class=\"wp-block-paragraph\">The MPV is the average velocity during the propulsive phase of the movement \u2014 from the beginning of the concentric phase until the acceleration of the bar drops below gravity (-9.81 m\/s\u00b2). It excludes the final deceleration phase and was for years the most recommended metric in VBT, although recent evidence indicates that the average velocity (MV) is more accurate for estimating 1RM.<\/p>\n<h3 class=\"wp-block-heading\">What is the difference between MV and MPV in an encoder?<\/h3>\n<p class=\"wp-block-paragraph\">The MV includes the entire concentric phase until the bar reaches the maximum height, including the final braking phase. The MPV only includes the part where the bar is accelerating. In light loads the difference is notable; in heavy loads (above 70-75% of 1RM) both converge and practically coincide.<\/p>\n<h3 class=\"wp-block-heading\">What speed metrics does the ADR Encoder offer?<\/h3>\n<p class=\"wp-block-paragraph\">The ADR Encoder and the ADR System app display all three metrics simultaneously for each repetition: average velocity (MV), average propulsive velocity (MPV), and maximum or peak velocity (PV), all calculated during the concentric phase. For the estimation of 1RM and the control of velocity loss, MV is the main metric recommended by scientific evidence. MPV and PV are available for those working with specific protocols or wanting to evaluate explosive performance.<\/p>\n<h3 class=\"wp-block-heading\">Is it better to use MPV or MV for VBT?<\/h3>\n<p class=\"wp-block-paragraph\">To estimate %1RM and daily 1RM, the evidence from the study by Garc\u00eda-Ramos et al. (2018) indicates that MV is more accurate\u2014it produces a more linear load-velocity relationship and prediction equations with lower error. The MPV can be useful to evaluate performance at light loads where the braking phase is relevant.<\/p>\n<h2 class=\"wp-block-heading\">Literature<\/h2>\n<ol class=\"wp-block-list\">\n<li>Garc\u00eda-Ramos, A., Pesta\u00f1a-Melero, F.L., P\u00e9rez-Castilla, A., Rojas, F.J. &amp; Haff, G.G. (2018). <em>Mean velocity vs. mean propulsive velocity vs. peak velocity: which variable determines bench press relative load with higher reliability?<\/em> <em>Journal of Strength and Conditioning Research<\/em>, 32(5), 1273\u20131279. <a href=\"https:\/\/doi.org\/10.1519\/JSC.0000000000001998\" rel=\"noreferrer noopener\" target=\"_blank\">See study \u2192<\/a><\/li>\n<li>Gonz\u00e1lez-Badillo, J.J. &amp; S\u00e1nchez-Medina, L. (2010). <em>Movement velocity as a measure of loading intensity in resistance training<\/em>. <em>International Journal of Sports Medicine<\/em>, 31(5), 347\u2013352. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20180176\/\" rel=\"noreferrer noopener\" target=\"_blank\">See in PubMed \u2192<\/a><\/li>\n<li>S\u00e1nchez-Medina, L., P\u00e9rez, C.E. &amp; Gonz\u00e1lez-Badillo, J.J. (2010). <em>Importance of the propulsive phase in strength assessment<\/em>. <em>International Journal of Sports Medicine<\/em>, 31(2), 123\u2013129. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/20222005\/\" rel=\"noreferrer noopener\" target=\"_blank\">See in PubMed \u2192<\/a><\/li>\n<\/ol>\n<p class=\"wp-block-paragraph\">\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-left kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;left&quot;,&quot;id&quot;:&quot;1861&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;Valora este art\u00edculo post&quot;,&quot;legend&quot;:&quot;0\\\/5 - (0 votos)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;MV, MPV or PV: which speed metric to use in VBT&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} - ({count} {votes})&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 19.2px;\">\n            <span class=\"kksr-muted\">Valora este art\u00edculo post<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>When you start using a sports encoder, one of the first questions that appears is this: what speed metric should [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":752,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":"","rank_math_title":"MV, MPV or PV: which speed metric to use in VBT","rank_math_description":"Average speed, average propulsive speed or peak speed? Science has a clear answer on which one to use to estimate 1RM with VBT. With ADR Encoder","rank_math_canonical_url":"","rank_math_focus_keyword":"what speed metric to use in VBT,MV,MPV or PV"},"categories":[417],"tags":[],"class_list":["post-1861","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sports-encoder-and-vbt-en"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/posts\/1861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/comments?post=1861"}],"version-history":[{"count":0,"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/posts\/1861\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/media\/752"}],"wp:attachment":[{"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/media?parent=1861"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/categories?post=1861"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/adrencoder.com\/blog\/wp-json\/wp\/v2\/tags?post=1861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}