diff --git a/.gitignore b/.gitignore
index cdb1c753..e4be0b78 100644
--- a/.gitignore
+++ b/.gitignore
@@ -19,6 +19,7 @@
 .DS_Store
 *.pem
 db.sql
+test.sql
 
 # debug
 npm-debug.log*
diff --git a/api/resolvers/notifications.js b/api/resolvers/notifications.js
index 4f106f04..a6e000e2 100644
--- a/api/resolvers/notifications.js
+++ b/api/resolvers/notifications.js
@@ -110,7 +110,7 @@ export default {
               JOIN "ItemAct" ON "ItemAct"."itemId" = "Item".id
               WHERE "ItemAct"."userId" <> $1
               AND "ItemAct".created_at <= $2
-              AND "ItemAct".act <> 'BOOST'
+              AND "ItemAct".act in ('VOTE', 'TIP')
               AND "Item"."userId" = $1
               GROUP BY "Item".id
               ORDER BY "sortTime" DESC
diff --git a/prisma/migrations/20220630170204_upvote_trust/migration.sql b/prisma/migrations/20220630170204_upvote_trust/migration.sql
new file mode 100644
index 00000000..a2fb183e
--- /dev/null
+++ b/prisma/migrations/20220630170204_upvote_trust/migration.sql
@@ -0,0 +1,25 @@
+-- AlterTable
+ALTER TABLE "users" ADD COLUMN "upvoteTrust" DOUBLE PRECISION NOT NULL DEFAULT 0;
+
+CREATE OR REPLACE FUNCTION confidence(successes FLOAT, trials FLOAT, z FLOAT)
+RETURNS FLOAT
+LANGUAGE plpgsql
+AS $$
+DECLARE
+    p FLOAT;
+    lhand FLOAT;
+    rhand FLOAT;
+    under FLOAT;
+BEGIN
+    IF trials = 0 THEN
+        RETURN 0;
+    END IF;
+
+    p := successes / trials;
+    lhand := p + 1 / (2 * trials) * z * z;
+    rhand := z * sqrt(p * (1 - p) / trials + z * z / (4 * trials * trials));
+    under := 1 + 1 / trials * z * z;
+
+    RETURN (lhand - rhand) / under;
+END;
+$$;
diff --git a/prisma/schema.prisma b/prisma/schema.prisma
index 23f6f48d..bca8d0c4 100644
--- a/prisma/schema.prisma
+++ b/prisma/schema.prisma
@@ -38,6 +38,7 @@ model User {
   tipDefault      Int         @default(10)
   pubkey          String?     @unique
   trust           Float       @default(0)
+  upvoteTrust     Float       @default(0)
   lastSeenAt      DateTime?
   lastCheckedJobs DateTime?
   photoId         Int?
diff --git a/worker/confidence.js b/worker/confidence.js
new file mode 100644
index 00000000..d56b4b83
--- /dev/null
+++ b/worker/confidence.js
@@ -0,0 +1,25 @@
+// https://en.wikipedia.org/wiki/Normal_distribution#Quantile_function
+// const z = 1.281551565545 // 80% confidence
+// const z = 1.644853626951 // 90% confidence
+// const z = 1.959963984540 // 95% confidence
+const z = 3.090232306168 // 98% confidence
+
+function confidence (s, n) {
+  if (n === 0) {
+    return 0
+  }
+
+  const p = s / n
+  const left = p + 1 / (2 * n) * z * z
+  const right = z * Math.sqrt(p * (1 - p) / n + z * z / (4 * n * n))
+  const under = 1 + 1 / n * z * z
+
+  return (left - right) / under
+}
+
+console.log(confidence(process.argv[2], process.argv[3]))
+
+/*
+  Need to describe how they'll earn
+  If we trust upvotes how can we use that to determine the best
+*/
diff --git a/worker/trust.js b/worker/trust.js
index 127d5523..eb2d0e07 100644
--- a/worker/trust.js
+++ b/worker/trust.js
@@ -12,6 +12,8 @@ function trust ({ boss, models }) {
 // only explore a path up to this depth from start
 const MAX_DEPTH = 6
 const MAX_TRUST = 0.9
+// https://en.wikipedia.org/wiki/Normal_distribution#Quantile_function
+const Z_CONFIDENCE = 2.326347874041 // 98% confidence
 
 function pathsOverlap (arr1 = [], arr2 = []) {
   const dp = new Array(arr1.length + 1).fill(0).map(() => new Array(arr2.length + 1).fill(0))
@@ -135,6 +137,7 @@ function trustGivenGraph (graph, start) {
 }
 
 /*
+  OLD TRUST GRAPH
   graph is returned as json in adjacency list where edges are the trust value 0-.9
   graph = {
     node1 : [{node : node2, trust: trust12}, {node: node3, trust: trust13}],
@@ -142,20 +145,57 @@ function trustGivenGraph (graph, start) {
     node3 : [{node : node2, trust: trust32}],
   }
 */
+// async function getGraph (models) {
+//   const [{ graph }] = await models.$queryRaw`
+//     select json_object_agg(id, hops) as graph
+//       from (
+//         select id, json_agg(json_build_object('node', oid, 'trust', trust)) as hops
+//           from (
+//             select "ItemAct"."userId" as id, "Item"."userId" as oid, least(${MAX_TRUST},
+//               sum(POWER(.99, EXTRACT(DAY FROM (NOW_UTC() - "ItemAct".created_at))))/21.0) as trust
+//               from "ItemAct"
+//               join "Item" on "itemId" = "Item".id and "ItemAct"."userId" <> "Item"."userId"
+//               where "ItemAct".act = 'VOTE' group by "ItemAct"."userId", "Item"."userId"
+//           ) a
+//           group by id
+//       ) b`
+//   return graph
+// }
+
+// upvote confidence graph
 async function getGraph (models) {
   const [{ graph }] = await models.$queryRaw`
     select json_object_agg(id, hops) as graph
       from (
         select id, json_agg(json_build_object('node', oid, 'trust', trust)) as hops
           from (
-            select "ItemAct"."userId" as id, "Item"."userId" as oid, least(${MAX_TRUST},
-              sum(POWER(.99, EXTRACT(DAY FROM (NOW_UTC() - "ItemAct".created_at))))/21.0) as trust
-              from "ItemAct"
-              join "Item" on "itemId" = "Item".id and "ItemAct"."userId" <> "Item"."userId"
-              where "ItemAct".act = 'VOTE' group by "ItemAct"."userId", "Item"."userId"
-          ) a
-          group by id
-      ) b`
+            select s.id, s.oid, confidence(s.shared, count(*), ${Z_CONFIDENCE}) as trust
+            from (
+              select a."userId" as id, b."userId" as oid, count(*) as shared
+              from "ItemAct" b
+              join users bu on bu.id = b."userId"
+              join "ItemAct" a on b."itemId" = a."itemId"
+              join users au on au.id = a."userId"
+              join "Item" on "Item".id = b."itemId"
+              where b.act = 'VOTE'
+              and a.act = 'VOTE'
+              and "Item"."parentId" is null
+              and "Item"."userId" <> b."userId"
+              and "Item"."userId" <> a."userId"
+              and b."userId" <> a."userId"
+              and "Item".created_at >= au.created_at and "Item".created_at >= bu.created_at
+              group by b."userId", a."userId") s
+            join users u on s.id = u.id
+            join users ou on s.oid = ou.id
+            join "ItemAct" on "ItemAct"."userId" = s.oid
+            join "Item" on "Item".id = "ItemAct"."itemId"
+            where "ItemAct".act = 'VOTE' and "Item"."parentId" is null
+            and "Item"."userId" <> s.oid and "Item"."userId" <> s.id
+            and "Item".created_at >= u.created_at and "Item".created_at >= ou.created_at
+            group by s.id, s.oid, s.shared
+        ) a
+        group by id
+    ) b`
   return graph
 }