{"id":13623,"date":"2026-10-13T08:25:18","date_gmt":"2026-10-13T12:25:18","guid":{"rendered":"https:\/\/therisk.global\/nexus-campaigns\/?page_id=13623"},"modified":"2026-10-13T16:07:16","modified_gmt":"2026-10-13T20:07:16","slug":"risk-literacy","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/","title":{"rendered":"Risk literacy"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1e3u6dk.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"editorial\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G07 \u00b7 TOPIC \u00b7 risk-literacy<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Nexus Campaigns<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Nexus Campaigns<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Risk literacy<\/h1><p class=\"nx-tagline\">Risk literacy is the ability to find, understand and weigh information about uncertain harms: a forecast probability, a relative risk in a health headline, a flood map, a return period. It depends on numeracy, on how the information is presented and on whether the source is trusted. This page sets out how understanding of risk forms and fails, how it is measured, which presentation choices the research supports, and what the evidence can and cannot tell the educators and agencies who design risk information.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"contents\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>In this dossier<\/strong><\/span><span class=\"nx-eyebrow\">7 parts<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">Risk literacy: how the risk develops<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\">What is measured, and how well<\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Canvas<\/span><span class=\"nx-register-v\">From sources to decisions<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where the evidence comes from<\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Decisions<\/span><span class=\"nx-register-v\">Who decides, and what the evidence serves<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Digital demand and connectivity in\u2026<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Campaign wave tracker, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Risk literacy: how the risk develops<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Risk literacy is the ability to find, understand and weigh information about uncertain harms, such as a forecast probability, a relative risk in a health headline or a flood map. It depends on numeracy, on how information is presented and on trust in the source. Formats such as natural frequencies and fact boxes improve understanding in experiments.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Digital demand and connectivity in Europe.<\/h2><p class=\"nx-lede\">Urban demand centres and the hubs that anchor digital and data infrastructure, shown for Europe as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"europe:digital\" data-ramp=\"purple\" data-basis=\"case\" data-focus=\"0 0 2000 1400|1176 0 2000 917|1379 923 1852 1197|1254 676 1614 923|210 975 861 1400\"><figure class=\"nx-fk\" data-fk=\"map-europe-digital\" data-ramp=\"purple\" 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\"><figcaption class=\"nx-fk-cap\"><span>Urban demand centres and the hubs that anchor digital and data infrastructure.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/topics\/risk-literacy\/#map\" data-nxf-title=\"Nexus Campaigns live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Campaigns \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Campaign wave tracker, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-campaigns-wave\" data-cx=\"campaigns.wave\" data-variant=\"section\" aria-label=\"Campaign wave tracker: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Campaign wave tracker<\/h3><p class=\"nx-fk-sub\">Risk literacy \u00b7 Wave 2 \u00b7 Campaign area North<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><ul class=\"nx-fk-kpis\" data-n=\"4\"><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">People reached<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k0\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">1269<\/span><span class=\"nx-fk-kpi-d\" data-dir=\"up\" data-good=\"na\">29<\/span><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Active<\/span><\/div><div data-fk-view=\"spark:k0\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,6.4L10.2,8.6L18.4,9.4L26.5,11.5L34.7,11.6L42.9,15.6L51.1,18.5L59.3,20.5L67.5,18.5L75.6,18.3L83.8,23L92,3L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,6.4L10.2,8.6L18.4,9.4L26.5,11.5L34.7,11.6L42.9,15.6L51.1,18.5L59.3,20.5L67.5,18.5L75.6,18.3L83.8,23L92,3\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"3\" r=\"2.4\"\/><\/svg><\/div><\/li><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">Consent complete, % of participants<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k1\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">100<\/span><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Normal<\/span><\/div><div data-fk-view=\"spark:k1\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,13.7L10.2,17.5L18.4,17.8L26.5,16.8L34.7,20.9L42.9,18.3L51.1,16.1L59.3,16.7L67.5,16.1L75.6,19.5L83.8,23L92,3L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,13.7L10.2,17.5L18.4,17.8L26.5,16.8L34.7,20.9L42.9,18.3L51.1,16.1L59.3,16.7L67.5,16.1L75.6,19.5L83.8,23L92,3\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"3\" r=\"2.4\"\/><\/svg><\/div><\/li><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">Knowledge score change<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k2\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">0.3<\/span><span class=\"nx-fk-kpi-u\">points<\/span><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Normal<\/span><\/div><div data-fk-view=\"spark:k2\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,20.6L10.2,21.4L18.4,18.3L26.5,10.9L34.7,16.6L42.9,15.9L51.1,19.6L59.3,23L67.5,21.5L75.6,16.2L83.8,22.3L92,3L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,20.6L10.2,21.4L18.4,18.3L26.5,10.9L34.7,16.6L42.9,15.9L51.1,19.6L59.3,23L67.5,21.5L75.6,16.2L83.8,22.3L92,3\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"3\" r=\"2.4\"\/><\/svg><\/div><\/li><li class=\"nx-fk-kpi\"><span class=\"nx-fk-kpi-l\">Open feedback items<\/span><div class=\"nx-fk-kpi-line\" data-fk-view=\"kpi:k3\"><span class=\"nx-fk-kpi-v\" data-k=\"kv\" data-tn=\"true\">4<\/span><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Watch<\/span><\/div><div data-fk-view=\"spark:k3\"><svg class=\"nx-fk-spark\" viewBox=\"0 0 96 26\" aria-hidden=\"true\" focusable=\"false\" preserveAspectRatio=\"none\"><path data-m=\"sarea\" data-k=\"sa\" d=\"M2,23L10.2,18.9L18.4,14.2L26.5,12.3L34.7,10.8L42.9,7.6L51.1,11L59.3,6L67.5,11.1L75.6,6.9L83.8,3L92,12.7L92,26L2,26Z\"\/><path data-m=\"sline\" data-k=\"sl\" d=\"M2,23L10.2,18.9L18.4,14.2L26.5,12.3L34.7,10.8L42.9,7.6L51.1,11L59.3,6L67.5,11.1L75.6,6.9L83.8,3L92,12.7\"\/><circle data-m=\"sdot\" data-k=\"sd\" cx=\"92\" cy=\"12.7\" r=\"2.4\"\/><\/svg><\/div><\/li><\/ul><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Wave in field<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Nexus Campaigns<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Preparedness actions by area<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 210\" width=\"520\" height=\"210\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Preparedness actions by area\" data-fk-chart=\"cx-campaigns-wave-c1\"><g data-m=\"axes\"><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"180\" y2=\"180\"\/><text data-m=\"tick\" x=\"34\" y=\"183.5\" text-anchor=\"end\">0<\/text><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"98\" y2=\"98\"\/><text data-m=\"tick\" x=\"34\" y=\"101.5\" text-anchor=\"end\">50<\/text><line data-m=\"grid\" x1=\"40\" x2=\"510\" y1=\"16\" y2=\"16\"\/><text data-m=\"tick\" x=\"34\" y=\"19.5\" text-anchor=\"end\">100<\/text><text data-m=\"label\" x=\"40\" y=\"6\" text-anchor=\"start\">share of households after the wave, survey<\/text><\/g><line data-m=\"axis\" x1=\"40\" x2=\"510\" y1=\"180\" y2=\"180\"\/><g data-m=\"col\" data-k=\"c-b0\"><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"s4\" x=\"53.2\" y=\"121\" width=\"67.7\" height=\"59\"\/><text data-m=\"tick\" x=\"87\" y=\"194\" text-anchor=\"middle\">N<\/text><rect data-m=\"hit\" x=\"40\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b1\"><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"s4\" x=\"147.2\" y=\"89.8\" width=\"67.7\" height=\"90.2\"\/><text data-m=\"tick\" x=\"181\" y=\"194\" text-anchor=\"middle\">S<\/text><rect data-m=\"hit\" x=\"134\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b2\"><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"s4\" x=\"241.2\" y=\"70.1\" width=\"67.7\" height=\"109.9\"\/><text data-m=\"tick\" x=\"275\" y=\"194\" text-anchor=\"middle\">Schools<\/text><rect data-m=\"hit\" x=\"228\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b3\"><rect data-m=\"bar\" data-k=\"b-b3\" data-c=\"s4\" x=\"335.2\" y=\"122.6\" width=\"67.7\" height=\"57.4\"\/><text data-m=\"tick\" x=\"369\" y=\"194\" text-anchor=\"middle\">Towns<\/text><rect data-m=\"hit\" x=\"322\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><g data-m=\"col\" data-k=\"c-b4\"><rect data-m=\"bar\" data-k=\"b-b4\" data-c=\"s4\" x=\"429.2\" y=\"34\" width=\"67.7\" height=\"146\"\/><text data-m=\"tick\" x=\"463\" y=\"194\" text-anchor=\"middle\">Coast<\/text><rect data-m=\"hit\" x=\"416\" y=\"16\" width=\"94\" height=\"164\"\/><\/g><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Messages under test<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-campaigns-wave-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-campaigns-wave-t2\" aria-label=\"Messages under test\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Message<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Arm<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Recall (%)<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Result<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-campaigns-wave:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Prepare a water reserve<\/td><td>A<\/td><td data-num=\"true\" data-sv=\"36\">36<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Revise<\/span><\/td><\/tr><tr data-fk-key=\"cx-campaigns-wave:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Know your warning levels<\/td><td>B<\/td><td data-num=\"true\" data-sv=\"56\">56<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Revise<\/span><\/td><\/tr><tr data-fk-key=\"cx-campaigns-wave:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Check on neighbours<\/td><td>A<\/td><td data-num=\"true\" data-sv=\"39\">39<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Keep<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"queue\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Safeguarding and consent<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>S-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Minor enrolled without guardian record<\/span><span class=\"nx-cx-qm\">Pause and verify<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">2<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>S-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Withdrawal request<\/span><span class=\"nx-cx-qm\">Data deleted, logged<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">3<\/span> d<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Campaign wave tracker: the screen's structure, terms and states for Risk literacy.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Risk literacy: how the risk develops.<\/h2><p class=\"nx-lede\">Teaching complex risks with clear evidence. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Formats shape understanding<\/h3><p class=\"nx-p nx-mt-1\">The same evidence reads differently as a relative risk, an absolute risk or a natural frequency. Probabilities without a reference class, such as a chance of rain with no stated area or period, are routinely misread. Icon arrays and frequencies reduce some errors; they do not remove them.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Feeling runs ahead of numbers<\/h3><p class=\"nx-p nx-mt-1\">People judge risk through affect, familiarity and vivid examples as well as probability. Hazards that are dreaded, involuntary or unfamiliar feel larger than common ones. These judgements are not simply errors: they carry values, such as fairness and control, that technical estimates leave out.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z\"\/><path d=\"m9 12 2 2 4-4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Trust filters the message<\/h3><p class=\"nx-p nx-mt-1\">Whether a message is believed depends on who sends it, their perceived competence and honesty, and the audience's prior views. Where institutional trust is low, accurate information from an official source can be discounted while confident claims from familiar voices travel further.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"4.5\" r=\"2.5\"\/><path d=\"m10.2 6.3-3.9 3.9\"\/><circle cx=\"4.5\" cy=\"12\" r=\"2.5\"\/><path d=\"M7 12h10\"\/><circle cx=\"19.5\" cy=\"12\" r=\"2.5\"\/><path d=\"m13.8 17.7 3.9-3.9\"\/><circle cx=\"12\" cy=\"19.5\" r=\"2.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Distortion amplifies and cascades<\/h3><p class=\"nx-p nx-mt-1\">Headlines, shares and commentary amplify some risks and attenuate others, as the social amplification of risk framework describes. A misreading repeated across outlets becomes the common understanding, and corrections usually arrive later and reach fewer people than the original claim.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Natural frequencies<\/td><td data-label=\"Definition\">Risk stated as counts, such as ten in a thousand, rather than percentages or conditional probabilities.<\/td><\/tr><tr><td data-label=\"Term\">Relative risk<\/td><td data-label=\"Definition\">The ratio of risk in an exposed group to risk in an unexposed group, which can mislead without the absolute risk.<\/td><\/tr><tr><td data-label=\"Term\">Fact box<\/td><td data-label=\"Definition\">A simple table comparing benefits and harms of options in natural frequencies.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Numeracy score<\/td><td data-label=\"Unit\">points on a validated scale such as the Berlin Numeracy Test<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Standardised test in audience research<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Correct interpretation of a probability statement<\/td><td data-label=\"Unit\">percent of tested participants<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Comprehension task with the item stated<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Self-assessed understanding of local hazards<\/td><td data-label=\"Unit\">percent of respondents<\/td><td data-label=\"Cadence\">per survey wave<\/td><td data-label=\"Source type\">World Risk Poll and national surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Trust in scientists<\/td><td data-label=\"Unit\">index score<\/td><td data-label=\"Cadence\">per survey wave<\/td><td data-label=\"Source type\">Wellcome Global Monitor<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Adult literacy and numeracy proficiency<\/td><td data-label=\"Unit\">distribution across proficiency levels<\/td><td data-label=\"Cadence\">per survey cycle<\/td><td data-label=\"Source type\">OECD Survey of Adult Skills<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Readability of published material<\/td><td data-label=\"Unit\">grade level by a named formula<\/td><td data-label=\"Cadence\">per release<\/td><td data-label=\"Source type\">Readability assessment of text<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Accessibility conformance<\/td><td data-label=\"Unit\">WCAG success criteria met, by level<\/td><td data-label=\"Cadence\">per release<\/td><td data-label=\"Source type\">Accessibility audit<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Reach of explainer material<\/td><td data-label=\"Unit\">unique readers per release<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Consent-based web analytics<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/topics\/risk-literacy\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Risk literacy as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g07-topics-risk-literacy-prisma-t nx-dag-g07-topics-risk-literacy-prisma-d\" data-nx-z=\"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\"><title id=\"nx-dag-g07-topics-risk-literacy-prisma-t\">Risk literacy: systematic evidence synthesis<\/title><desc id=\"nx-dag-g07-topics-risk-literacy-prisma-d\">A question is framed with its owner and a protocol registered; records are searched, screened and checked for eligibility by two reviewers; data are extracted, synthesised and graded for certainty before a brief is written. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Lloyd's Register Foundation World Risk Poll<\/td><td data-label=\"What it gives\">Nationally representative survey of risk perception, experience of harm and preparedness across many countries<\/td><td data-label=\"Licence class\">Free to use with attribution<\/td><\/tr><tr><td data-label=\"Source\">Wellcome Global Monitor<\/td><td data-label=\"What it gives\">Trust in science and scientists, understanding of science and sources of health information<\/td><td data-label=\"Licence class\">Free to use with attribution<\/td><\/tr><tr><td data-label=\"Source\">OECD Survey of Adult Skills (PIAAC)<\/td><td data-label=\"What it gives\">Adult literacy, numeracy and problem-solving proficiency by country and group<\/td><td data-label=\"Licence class\">OECD terms; public-use files free, restricted files by licence<\/td><\/tr><tr><td data-label=\"Source\">OECD PISA<\/td><td data-label=\"What it gives\">Reading, mathematics and science literacy of fifteen-year-olds, including reading in digital environments<\/td><td data-label=\"Licence class\">OECD terms, free with attribution<\/td><\/tr><tr><td data-label=\"Source\">Reuters Institute Digital News Report<\/td><td data-label=\"What it gives\">News use, trust in news and platforms, and concern about false information by country<\/td><td data-label=\"Licence class\">Free to read; survey data by request<\/td><\/tr><tr><td data-label=\"Source\">Special Eurobarometer surveys on science and technology<\/td><td data-label=\"What it gives\">Public knowledge of and attitudes to science across EU member states<\/td><td data-label=\"Licence class\">Free reuse with attribution; microdata through GESIS<\/td><\/tr><tr><td data-label=\"Source\">Harding Center for Risk Literacy fact boxes<\/td><td data-label=\"What it gives\">Worked formats for presenting benefits and harms as natural frequencies<\/td><td data-label=\"Licence class\">Free to read; reuse per terms<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G07\/topics\/risk-literacy\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Nexus Campaigns prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Ministries of education and curriculum authorities<\/td><td data-label=\"The question\">Whether and where reasoning about risk and probability belongs in the curriculum, and for which ages<\/td><td data-label=\"Evidence this page serves\">Adult and student proficiency data; comprehension studies of the formats taught<\/td><\/tr><tr><td data-label=\"Who decides\">Public health agencies<\/td><td data-label=\"The question\">How to present the benefits and harms of a screening programme or vaccine<\/td><td data-label=\"Evidence this page serves\">Format comparison evidence; trust data by group; tested materials<\/td><\/tr><tr><td data-label=\"Who decides\">National meteorological and hydrological services<\/td><td data-label=\"The question\">How to word probabilistic forecasts and impact-based warnings<\/td><td data-label=\"Evidence this page serves\">Comprehension tests of probability wording; audience research on common misreadings<\/td><\/tr><tr><td data-label=\"Who decides\">Newsroom editors and science desks<\/td><td data-label=\"The question\">How to report relative and absolute risk and the uncertainty of a study<\/td><td data-label=\"Evidence this page serves\">Format guidance, glossaries and documented examples of misreading<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Campaign explainers that state the evidence, its label and its uncertainty in plain language<\/li><li>Presentation formats for probabilities and return periods, with their comprehension test records<\/li><li>Glossaries of risk terms in the languages of the intended audience<\/li><li>Accessibility and readability reviews published with each explainer<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What experts ask.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">What do people need to know to act?<\/h3><p class=\"nx-p nx-mt-1\">Which pieces of a risk assessment change a decision, and which are detail that can be left out without misleading.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">How should uncertainty be shown?<\/h3><p class=\"nx-p nx-mt-1\">Whether ranges, scenarios or plain statements of confidence help people decide, and when they confuse.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Who is the message for?<\/h3><p class=\"nx-p nx-mt-1\">How prior knowledge, language, numeracy, culture and trust differ across the intended public.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Does the material work?<\/h3><p class=\"nx-p nx-mt-1\">Whether people understand the risk better afterwards, and whether that understanding lasts.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">What drives the outcome.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Research on risk perception shows systematic patterns. People judge risks by how dreadful, familiar, controllable and fair they seem, not only by how likely they are. Rare, vivid events are overestimated and chronic, diffuse risks underestimated. Relative risks (\"twice as likely\") are easily misread without the baseline they refer to.<\/p><p class=\"nx-p\">Presentation matters as much as content. Natural frequencies (\"one in a hundred households\") are generally easier to reason with than conditional probabilities. Visual displays can clarify or distort depending on scale and framing. Messages that state what is known, what is not and what a person can do tend to sustain trust better than messages that project certainty and later need correcting.<\/p><p class=\"nx-p\">Trust is the multiplier. The same evidence lands differently when it comes from a source the audience regards as competent, honest and on its side.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How evidence is gathered, and where it stops.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Its limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">Audience research<\/td><td data-label=\"What it shows\">Prior knowledge, misconceptions and preferred formats<\/td><td data-label=\"Its limit\">Small samples may not represent every group<\/td><\/tr><tr><td data-label=\"Method\">Comprehension testing<\/td><td data-label=\"What it shows\">Whether material is understood as intended<\/td><td data-label=\"Its limit\">Understanding in a test is not behaviour in life<\/td><\/tr><tr><td data-label=\"Method\">Pre and post surveys<\/td><td data-label=\"What it shows\">Change in knowledge or confidence<\/td><td data-label=\"Its limit\">Self-report and attrition bias<\/td><\/tr><tr><td data-label=\"Method\">Expert review<\/td><td data-label=\"What it shows\">Accuracy and fair statement of uncertainty<\/td><td data-label=\"Its limit\">Experts can disagree; disagreement is recorded<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-campaigns\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Audience research before a campaign \u00b7 Pre-testing material for comprehension<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\" aria-label=\"Social and behavioural science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/nexus-campaigns\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Communicating before the evidence settles \u00b7 Choosing channels and audiences<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Most comprehension research uses convenience samples in a few high-income countries, so transfer to other languages, cultures and literacy levels is uncertain. Understanding shown in a survey task is not understanding under stress, time pressure or competing information. Numeracy scales measure part of risk literacy, not the judgement and values people bring to it. Better understanding does not imply a particular decision, and changed opinion is not the aim. Material here explains evidence; it is not advice.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Is risk literacy the same as numeracy?<\/summary><div class=\"nx-answer\">No. Numeracy is one part. Risk literacy also covers knowing which question a number answers, judging the source, recognising uncertainty and relating the evidence to one's own circumstances and values.<\/div><\/details><details><summary>Why use natural frequencies?<\/summary><div class=\"nx-answer\">Stating how many people out of a defined group are affected makes the reference group explicit. In comparative studies such statements are misread less often than percentages or relative risks, though they do not remove every error.<\/div><\/details><details><summary>Are people bad at understanding risk?<\/summary><div class=\"nx-answer\">Not in general. Many errors come from how information is presented, and many differences between expert and public judgements reflect different values, such as fairness, consent or control, rather than mistakes.<\/div><\/details><details><summary>Does Nexus Campaigns issue risk advice?<\/summary><div class=\"nx-answer\">No. Advice and warnings come from competent authorities such as public health agencies and meteorological services. Nexus Campaigns publishes explainers on how risk evidence is produced and read.<\/div><\/details><details><summary>Which values on this page are real?<\/summary><div class=\"nx-answer\">The indicator names, units, sources and methods are real. No levels or results are shown. A programme that measures them publishes its own labelled evidence.<\/div><\/details><details><summary>Is risk literacy about teaching statistics?<\/summary><div class=\"nx-answer\">Partly. Basic ideas of frequency and uncertainty help, but most of the work lies in making evidence usable: clear baselines, honest ranges and concrete actions.<\/div><\/details><details><summary>Can a campaign tell people how dangerous something is?<\/summary><div class=\"nx-answer\">It can explain published evidence with its sources and uncertainty. Official risk levels and warnings remain the role of mandated authorities.<\/div><\/details><details><summary>How is success judged?<\/summary><div class=\"nx-answer\">Against measures agreed before launch, such as correct understanding of a key point, not reach alone. See <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-evidence\/\">campaign evidence<\/a>.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Nexus Campaigns.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/water-and-food-awareness\/\">Water and food awareness <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/community-preparedness\/\">Community preparedness <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/responsible-ai-literacy\/\">Responsible AI literacy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-governance\/\">Campaign governance <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/participation-consent\/\">Participation consent <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/topics\/campaign-evidence\/\">Campaign evidence <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/\">Nexus Campaigns home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/nexus-campaigns\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Nexus Campaigns<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Nexus%20Campaigns%3A%20Risk%20literacy\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-campaigns\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/nexus-campaigns\/topics\/risk-literacy\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Is risk literacy the same as numeracy?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. Numeracy is one part. 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