engine: split packet loss by direction using the server's observations

"3 % loss" sends an engineer looking in both directions at once. The server
records every packet it received per sequence number, so the two cases are
distinguishable: sent-but-never-seen is upstream loss, seen-but-no-reply is
downstream. The findings say which, and say what is not implicated.

Downstream loss is measured against what reached the server, not against what
was sent — the other denominator counts every upstream loss twice and
overstates the return path.

Per-direction jitter comes out of the same records without needing synchronised
clocks: (server_rx - client_tx) carries a constant unknown offset, and
differencing successive samples cancels it, so RFC 3393 variation is honestly
attributable to a direction even though absolute latency is not.

Correlation is by wire sequence number, not loop index — the counter is shared
with every packet type on the session. ProbeSession exposes it even for a lost
probe, since that is precisely the packet whose direction is in question.

Live against fmr: 0.08 ms upstream jitter vs 0.85 ms downstream, an asymmetry a
round-trip test cannot see.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

echolot-app/core-engine/src/main/kotlin/app/echo_lot/engine/Directional.kt

@@ -0,0 +1,107 @@
+// SPDX-FileCopyrightText: 2026 Echolot contributors
+// SPDX-License-Identifier: GPL-3.0-or-later
+
+package app.echo_lot.engine
+
+import kotlinx.serialization.SerialName
+import kotlinx.serialization.Serializable
+
+/**
+ * Splits a round-trip train into its two directions using what the server witnessed.
+ *
+ * A round trip can only report that *something* was lost somewhere. That is the least useful form
+ * of the answer: "3 % loss" sends an engineer looking in both directions at once. The server
+ * records every packet it received, per sequence number (probe-protocol.md §6), so the two cases
+ * are actually distinguishable:
+ *
+ *   - sent, never seen by the server  → **upstream** loss
+ *   - seen by the server, reply never arrived → **downstream** loss
+ *
+ * The same records give one-way delay *variation* per direction. Absolute one-way delay would
+ * need synchronised clocks and we deliberately have none (measurement-schema.md's two-clock rule),
+ * but the variation does not: (server_rx − client_tx) contains an unknown constant clock offset,
+ * and differencing successive samples cancels it. So jitter is honestly attributable to a
+ * direction even though latency is not.
+ */
+object Directional {
+
+    /** One probe as the client saw it. [tRxNs] null means no reply came back. */
+    data class Sample(val seq: Int, val tTxNs: Long, val tRxNs: Long?)
+
+    /** One probe as the server saw it: its own receive and transmit stamps, on its own clock. */
+    data class ServerSighting(val seq: Int, val tRxNs: Long, val tTxNs: Long)
+
+    fun analyse(sent: List<Sample>, seen: List<ServerSighting>): DirectionalMetrics {
+        val byServerSeq = seen.associateBy { it.seq }
+        // Only sequences we actually sent count. A server record for a sequence we have no note
+        // of is not evidence about this train — it is a bug or a stray, and silently folding it
+        // in would produce loss percentages above 100 or below zero.
+        val relevant = sent.filter { byServerSeq.containsKey(it.seq) }
+
+        val nSent = sent.size
+        val nSeen = relevant.size
+        val nReplied = sent.count { it.tRxNs != null }
+
+        // A reply can only exist if the request arrived, so downstream loss is measured against
+        // what the server saw, not against what we sent — otherwise upstream loss is counted twice.
+        val lostUp = nSent - nSeen
+        val lostDown = (nSeen - nReplied).coerceAtLeast(0)
+
+        val upDeltas = relevant.sortedBy { it.seq }
+            .map { byServerSeq.getValue(it.seq).tRxNs - it.tTxNs }
+        val downDeltas = sent.filter { it.tRxNs != null && byServerSeq.containsKey(it.seq) }
+            .sortedBy { it.seq }
+            .map { it.tRxNs!! - byServerSeq.getValue(it.seq).tTxNs }
+
+        return DirectionalMetrics(
+            sent = nSent,
+            seenByServer = nSeen,
+            repliesReceived = nReplied,
+            lostUpstream = lostUp,
+            lostDownstream = lostDown,
+            lossUpstreamPct = pct(lostUp, nSent),
+            // Denominator is what reached the server: of the packets that got there, how many
+            // replies came back.
+            lossDownstreamPct = pct(lostDown, nSeen),
+            jitterUpstreamMs = jitterMs(upDeltas),
+            jitterDownstreamMs = jitterMs(downDeltas),
+            /** True when the server saw nothing at all, which is a different fault from loss. */
+            noneReachedServer = nSent > 0 && nSeen == 0,
+        )
+    }
+
+    /**
+     * Mean absolute difference between consecutive one-way samples (RFC 3393 IPDV, averaged).
+     *
+     * Differencing is what makes this legitimate without synchronised clocks: each sample carries
+     * the same unknown offset between the two clocks, and the difference cancels it. Fewer than
+     * two samples yields null rather than zero — "no jitter" and "not enough data to say" are
+     * different claims and only one of them is true here.
+     */
+    private fun jitterMs(oneWayNs: List<Long>): Double? {
+        if (oneWayNs.size < 2) return null
+        val deltas = oneWayNs.zipWithNext { a, b -> kotlin.math.abs(b - a) }
+        return round2(deltas.average() / 1_000_000.0)
+    }
+
+    private fun pct(part: Int, whole: Int): Double =
+        if (whole <= 0) 0.0 else round2(part * 100.0 / whole)
+
+    private fun round2(v: Double) = Math.round(v * 100.0) / 100.0
+}
+
+/** Directional metrics for train.udp_updown; recomputable from the columnar evidence. */
+@Serializable
+data class DirectionalMetrics(
+    val sent: Int,
+    @SerialName("seen_by_server") val seenByServer: Int,
+    @SerialName("replies_received") val repliesReceived: Int,
+    @SerialName("lost_upstream") val lostUpstream: Int,
+    @SerialName("lost_downstream") val lostDownstream: Int,
+    @SerialName("loss_upstream_pct") val lossUpstreamPct: Double,
+    @SerialName("loss_downstream_pct") val lossDownstreamPct: Double,
+    /** One-way delay variation (RFC 3393), per direction. Null when there were too few samples. */
+    @SerialName("jitter_upstream_ms") val jitterUpstreamMs: Double? = null,
+    @SerialName("jitter_downstream_ms") val jitterDownstreamMs: Double? = null,
+    @SerialName("none_reached_server") val noneReachedServer: Boolean = false,
+)

echolot-app/core-engine/src/main/kotlin/app/echo_lot/engine/ServerMeasurement.kt

@@ -10,8 +10,13 @@ import app.echo_lot.measurement.*
 import app.echo_lot.protocol.ControlClient
 import app.echo_lot.protocol.ProbeSession
 import kotlinx.serialization.json.Json
+import kotlinx.serialization.json.JsonArray
 import kotlinx.serialization.json.JsonObject
 import kotlinx.serialization.json.encodeToJsonElement
+import kotlinx.serialization.json.intOrNull
+import kotlinx.serialization.json.jsonObject
+import kotlinx.serialization.json.jsonPrimitive
+import kotlinx.serialization.json.longOrNull
 
 /**
  * Runs the server-facing measurements against one target and assembles a [MeasurementDocument]:
@@ -71,7 +76,7 @@ class ServerMeasurement(
         // re-primed source is never recorded and every granted send goes to the old, closed port.
         // Session identity lives on the server; the socket must live as long as it does.
         ProbeSession(cfg.credential, session, cfg.udpHost, cfg.udpPort).use { ps ->
-            val (test, findings) = echoTrain(cfg, ps, startMono)
+            val (test, findings) = echoTrain(cfg, ps, startMono, control, session.sessionId)
             tests.add(test)
             allFindings.addAll(findings)
 
@@ -105,6 +110,7 @@ class ServerMeasurement(
 
     private fun echoTrain(
         cfg: Config, ps: ProbeSession, startMono: Long,
+        control: ControlClient? = null, sessionId: String? = null,
     ): Pair<Test, List<Finding>> {
         val testId = ids.uuid()
         val seqs = ArrayList<Int>()
@@ -114,9 +120,15 @@ class ServerMeasurement(
         val rtts = ArrayList<Double>()
         val observedPorts = LinkedHashSet<Int>()
 
+        // Wire sequence numbers, kept so the server's observations can be correlated packet by
+        // packet. They are not 0..n-1: the counter is shared with every other packet type on the
+        // session, so "the nth echo" is not "sequence n".
+        val wireSeqs = ArrayList<Int>()
+
         for (i in 0 until cfg.echoCount) {
             val txMono = ids.monoNs() - startMono
             val r = ps.echo(cfg.echoPaddingBytes)
+            wireSeqs.add(ps.lastSeq)
             seqs.add(i)
             tTx.add(txMono)
             sizes.add(Wire_HEADER + cfg.echoPaddingBytes)
@@ -129,6 +141,20 @@ class ServerMeasurement(
             }
         }
 
+        // Ask the server what it actually received. This is what turns "3 % loss somewhere" into
+        // "3 % loss upstream" - the least useful form of the answer into a usable one.
+        val directional: DirectionalMetrics? =
+            if (control != null && sessionId != null) {
+                runCatching {
+                    val samples = wireSeqs.indices.map {
+                        Directional.Sample(wireSeqs[it], tTx[it] ?: 0L, tRx[it])
+                    }
+                    Directional.analyse(samples, serverSightings(control, cfg, sessionId))
+                }.getOrNull() // an older server without the endpoint simply yields no split
+            } else {
+                null
+            }
+
         val sent = cfg.echoCount
         val received = rtts.size
         val lossPct = if (sent == 0) 0.0 else (sent - received) * 100.0 / sent
@@ -138,6 +164,9 @@ class ServerMeasurement(
             epochMonoNs = startMono, seq = seqs, tTxNs = tTx, tRxNs = tRx, sizeBytes = sizes,
         ).toEvidence()
 
+        val directionalJson = directional?.let {
+            json.encodeToJsonElement(DirectionalMetrics.serializer(), it) as JsonObject
+        }
         val metrics: JsonObject = json.encodeToJsonElement(
             EchoMetrics(
                 sent = sent, received = received, lossPct = round1(lossPct),
@@ -147,7 +176,7 @@ class ServerMeasurement(
                 observedPorts = observedPorts.toList(),
                 natRebindingDetected = natRebinding,
             )
-        ) as JsonObject
+        ).let { base -> JsonObject((base as JsonObject) + (directionalJson ?: JsonObject(emptyMap()))) }
 
         val status = when {
             received == 0 -> TestStatus.FAILED
@@ -170,6 +199,35 @@ class ServerMeasurement(
                 "High UDP loss to the server (${round1(lossPct)}%)",
                 "A large fraction of ECHO probes were lost, indicating an unreliable UDP path."))
         }
+        // Naming the direction is the entire value of the split, so the findings do.
+        directional?.let { d ->
+            when {
+                d.noneReachedServer && received == 0 -> findings.add(
+                    finding("nat.udp_unreachable_upstream", Category.CONNECTIVITY, Severity.HIGH, testId,
+                        "Nothing reached the server",
+                        "The server received none of the ${d.sent} probes, so the traffic is being " +
+                            "dropped on the way out, not on the way back. A firewall or NAT on " +
+                            "this side of the path is the place to look."),
+                )
+                d.lossUpstreamPct >= 2.0 -> findings.add(
+                    finding("connectivity.loss_upstream", Category.CONNECTIVITY, Severity.MEDIUM, testId,
+                        "${d.lossUpstreamPct} % of probes were lost on the way to the server",
+                        "${d.lostUpstream} of ${d.sent} probes never reached the server. The " +
+                            "return path is not implicated: replies came back for everything that " +
+                            "arrived."),
+                )
+            }
+            if (d.lossDownstreamPct >= 2.0) {
+                findings.add(
+                    finding("connectivity.loss_downstream", Category.CONNECTIVITY, Severity.MEDIUM, testId,
+                        "${d.lossDownstreamPct} % of replies were lost on the way back",
+                        "The server received ${d.seenByServer} probes and answered them, but " +
+                            "${d.lostDownstream} of those replies never arrived. The outbound path " +
+                            "is fine; the fault is on the return leg."),
+                )
+            }
+        }
+
         if (natRebinding) {
             findings.add(finding("nat.udp_rebinding", Category.NAT, Severity.MEDIUM, testId,
                 "NAT remapped the UDP source port mid-flow",
@@ -178,6 +236,29 @@ class ServerMeasurement(
         return test to findings
     }
 
+    /**
+     * The server's per-packet record of this session's echoes (spec section 6). Filtered to
+     * ECHO_REQ, because the observation list also holds MTU probes and anything else we sent -
+     * counting those as train packets would invent loss that is not there.
+     */
+    private fun serverSightings(
+        control: ControlClient, cfg: Config, sessionId: String,
+    ): List<Directional.ServerSighting> {
+        val body = control.observations(cfg.credential, sessionId)
+        val packets = Json.parseToJsonElement(body).jsonObject["udp"]
+            ?.jsonObject?.get("packets") as? JsonArray ?: return emptyList()
+        return packets.mapNotNull { el ->
+            val o = el as? JsonObject ?: return@mapNotNull null
+            val type = o["type"]?.jsonPrimitive?.intOrNull ?: return@mapNotNull null
+            if (type != ECHO_REQ_TYPE) return@mapNotNull null
+            Directional.ServerSighting(
+                seq = o["seq"]?.jsonPrimitive?.intOrNull ?: return@mapNotNull null,
+                tRxNs = o["t_rx_ns"]?.jsonPrimitive?.longOrNull ?: return@mapNotNull null,
+                tTxNs = o["t_tx_ns"]?.jsonPrimitive?.longOrNull ?: return@mapNotNull null,
+            )
+        }
+    }
+
     private fun finding(code: String, cat: Category, sev: Severity, testId: String, title: String, desc: String) =
         Finding(
             id = ids.uuid(), code = code, category = cat, severity = sev, confidence = Confidence.HIGH,
@@ -186,6 +267,7 @@ class ServerMeasurement(
 
     private companion object {
         const val Wire_HEADER = 32
+        const val ECHO_REQ_TYPE = 0x01
         fun round1(v: Double) = Math.round(v * 10.0) / 10.0
     }
 }

echolot-app/core-engine/src/test/kotlin/app/echo_lot/engine/DirectionalTest.kt

@@ -0,0 +1,155 @@
+// SPDX-FileCopyrightText: 2026 Echolot contributors
+// SPDX-License-Identifier: GPL-3.0-or-later
+
+package app.echo_lot.engine
+
+import app.echo_lot.engine.Directional.Sample
+import app.echo_lot.engine.Directional.ServerSighting
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertFalse
+import kotlin.test.assertNotNull
+import kotlin.test.assertNull
+import kotlin.test.assertTrue
+
+/**
+ * The arithmetic that turns "3 % loss somewhere" into "3 % loss upstream". Getting a denominator
+ * wrong here does not crash anything — it produces a plausible number pointing at the wrong half
+ * of the network, which is worse than no number at all. Hence a test per claim.
+ */
+class DirectionalTest {
+
+    /** A clean train: every packet sent, seen and answered. Server clock offset by a constant. */
+    private fun clean(n: Int, offsetNs: Long = 5_000_000_000L): Pair<List<Sample>, List<ServerSighting>> {
+        val sent = (1..n).map { Sample(it, tTxNs = it * 10_000_000L, tRxNs = it * 10_000_000L + 4_000_000L) }
+        val seen = (1..n).map {
+            ServerSighting(it, tRxNs = offsetNs + it * 10_000_000L + 2_000_000L,
+                tTxNs = offsetNs + it * 10_000_000L + 2_100_000L)
+        }
+        return sent to seen
+    }
+
+    @Test
+    fun aCleanTrainReportsNoLossInEitherDirection() {
+        val (sent, seen) = clean(10)
+        val m = Directional.analyse(sent, seen)
+        assertEquals(10, m.sent)
+        assertEquals(10, m.seenByServer)
+        assertEquals(10, m.repliesReceived)
+        assertEquals(0.0, m.lossUpstreamPct)
+        assertEquals(0.0, m.lossDownstreamPct)
+        assertFalse(m.noneReachedServer)
+    }
+
+    // The whole point: a packet the server never saw was lost on the way there.
+    @Test
+    fun packetsTheServerNeverSawAreUpstreamLoss() {
+        val (sent, seen) = clean(10)
+        val m = Directional.analyse(sent, seen.filter { it.seq !in setOf(3, 7) })
+        assertEquals(2, m.lostUpstream)
+        assertEquals(0, m.lostDownstream)
+        assertEquals(20.0, m.lossUpstreamPct)
+        assertEquals(0.0, m.lossDownstreamPct, "a packet that never arrived cannot be lost coming back")
+    }
+
+    @Test
+    fun repliesThatNeverArrivedAreDownstreamLoss() {
+        val (sent, seen) = clean(10)
+        val withHoles = sent.map { if (it.seq in setOf(2, 5)) it.copy(tRxNs = null) else it }
+        val m = Directional.analyse(withHoles, seen)
+        assertEquals(0, m.lostUpstream)
+        assertEquals(2, m.lostDownstream)
+        assertEquals(20.0, m.lossDownstreamPct)
+    }
+
+    // Downstream loss is measured against what actually reached the server. Using "sent" as the
+    // denominator would count every upstream loss a second time and overstate the return path.
+    @Test
+    fun downstreamLossIsRelativeToWhatReachedTheServer() {
+        val (sent, seen) = clean(10)
+        // 5 lost on the way there; of the 5 that arrived, 1 reply is lost coming back.
+        val seenPartial = seen.filter { it.seq > 5 }
+        val withHole = sent.map {
+            when {
+                it.seq <= 5 -> it.copy(tRxNs = null) // never got there, so never came back
+                it.seq == 6 -> it.copy(tRxNs = null) // arrived, reply lost
+                else -> it
+            }
+        }
+        val m = Directional.analyse(withHole, seenPartial)
+        assertEquals(5, m.lostUpstream)
+        assertEquals(50.0, m.lossUpstreamPct)
+        assertEquals(1, m.lostDownstream)
+        assertEquals(20.0, m.lossDownstreamPct, "1 of the 5 that arrived, not 1 of 10")
+    }
+
+    @Test
+    fun aServerThatSawNothingIsCalledOutSeparately() {
+        val (sent, _) = clean(6)
+        val m = Directional.analyse(sent.map { it.copy(tRxNs = null) }, emptyList())
+        assertTrue(m.noneReachedServer)
+        assertEquals(100.0, m.lossUpstreamPct)
+        assertEquals(0.0, m.lossDownstreamPct, "with nothing arriving there is no return path to blame")
+    }
+
+    // Jitter is legitimate without synchronised clocks because the offset cancels when successive
+    // one-way samples are differenced. This pins that: a huge constant offset must not show up.
+    @Test
+    fun jitterIsUnaffectedByTheClockOffsetBetweenTheTwoMachines() {
+        val (sent, near) = clean(10, offsetNs = 0)
+        val (_, far) = clean(10, offsetNs = 9_999_999_999L)
+        val a = Directional.analyse(sent, near)
+        val b = Directional.analyse(sent, far)
+        assertEquals(a.jitterUpstreamMs, b.jitterUpstreamMs,
+            "a constant clock offset must cancel when consecutive samples are differenced")
+        assertEquals(0.0, assertNotNull(a.jitterUpstreamMs), "an evenly spaced train has no jitter")
+    }
+
+    @Test
+    fun jitterReflectsUnevenArrival() {
+        val sent = listOf(
+            Sample(1, 0, 10_000_000),
+            Sample(2, 10_000_000, 20_000_000),
+            Sample(3, 20_000_000, 30_000_000),
+        )
+        // Server receive times drift: +2ms, +7ms, +3ms relative to send.
+        val seen = listOf(
+            ServerSighting(1, 2_000_000, 2_100_000),
+            ServerSighting(2, 17_000_000, 17_100_000),
+            ServerSighting(3, 23_000_000, 23_100_000),
+        )
+        val m = Directional.analyse(sent, seen)
+        // one-way samples: 2ms, 7ms, 3ms → |7-2| and |3-7| → mean 4.5ms
+        assertEquals(4.5, assertNotNull(m.jitterUpstreamMs))
+    }
+
+    // "No jitter" and "not enough data to say" are different claims, and only one is true here.
+    @Test
+    fun tooFewSamplesReportsNoJitterRatherThanZero() {
+        val m = Directional.analyse(
+            listOf(Sample(1, 0, 10_000_000)),
+            listOf(ServerSighting(1, 2_000_000, 2_100_000)),
+        )
+        assertNull(m.jitterUpstreamMs)
+        assertNull(m.jitterDownstreamMs)
+    }
+
+    // A server record for a sequence we never sent is not evidence about this train; folding it
+    // in would yield loss percentages outside 0–100.
+    @Test
+    fun strayServerRecordsAreIgnored() {
+        val (sent, seen) = clean(5)
+        val m = Directional.analyse(sent, seen + ServerSighting(99, 1, 2) + ServerSighting(100, 3, 4))
+        assertEquals(5, m.seenByServer)
+        assertEquals(0.0, m.lossUpstreamPct)
+        assertTrue(m.lossDownstreamPct in 0.0..100.0)
+    }
+
+    @Test
+    fun anEmptyTrainDoesNotDivideByZero() {
+        val m = Directional.analyse(emptyList(), emptyList())
+        assertEquals(0.0, m.lossUpstreamPct)
+        assertEquals(0.0, m.lossDownstreamPct)
+        assertFalse(m.noneReachedServer, "nothing sent is not the same as nothing arriving")
+    }
+}

echolot-app/core-engine/src/test/kotlin/app/echo_lot/engine/LiveMeasurementTest.kt

@@ -7,6 +7,7 @@ import app.echo_lot.measurement.*
 import kotlinx.serialization.json.Json
 import kotlin.test.Test
 import kotlin.test.assertEquals
+import kotlin.test.assertNotNull
 import kotlin.test.assertTrue
 
 /**
@@ -59,6 +60,18 @@ class LiveMeasurementTest {
         println("metrics: $metrics")
         assertTrue(metrics.toString().contains("rtt_ms_avg"))
 
+        // The directional split is the point of asking the server what it saw: without it a
+        // lossy path is reported as "loss" with no direction, which sends an engineer looking
+        // in both at once. Correlation is by wire sequence number, so a mismatch here means the
+        // two sides disagree about which packet is which.
+        val m = metrics.toString()
+        assertTrue(m.contains("seen_by_server"), "no directional split in the metrics: $m")
+        val seen = Regex(""""seen_by_server":(\d+)""").find(m)?.groupValues?.get(1)?.toInt()
+        assertNotNull(seen, "seen_by_server missing")
+        assertEquals(20, seen, "the server should have seen every probe on a healthy path")
+        assertTrue(m.contains("jitter_upstream_ms"), "no per-direction jitter: $m")
+        println("directional: $m")
+
         assertTrue(doc.summary != null)
         // A healthy local->fmr path should be green (no loss, no rebinding) or yellow.
         println("summary: ${doc.summary}")

echolot-app/core-protocol/src/main/kotlin/app/echo_lot/protocol/ProbeSession.kt

@@ -44,13 +44,26 @@ class ProbeSession(
      */
     fun echo(paddingBytes: Int = 40): EchoResult? {
         val t0 = System.nanoTime()
-        val pkt = Wire.build(Wire.TYPE_ECHO_REQ, prefix, ++seq, nowNs(), key, ByteArray(paddingBytes))
+        val wireSeq = ++seq
+        val pkt = Wire.build(Wire.TYPE_ECHO_REQ, prefix, wireSeq, nowNs(), key, ByteArray(paddingBytes))
         socket.send(DatagramPacket(pkt, pkt.size, server))
+        // A lost probe still has a sequence number, and that number is what lets the server's
+        // observations say whether it was lost going out or coming back — so report it either way.
+        lastSeq = wireSeq
         val resp = receive(Wire.TYPE_ECHO_RESP) ?: return null
         val rttMs = (System.nanoTime() - t0) / 1_000_000.0
-        return EchoResult(rttMs, Observation.parse(resp.payload))
+        return EchoResult(rttMs, Observation.parse(resp.payload), wireSeq)
     }
 
+    /**
+     * The wire sequence number of the most recent [echo], including one that was lost.
+     *
+     * Exposed because the caller cannot derive it: the counter is shared with every other packet
+     * type on this session, so "the nth echo" is not "sequence n".
+     */
+    var lastSeq: Int = 0
+        private set
+
     /** One MTU probe of [totalSize] bytes (DF is set by the OS on the socket where supported).
      *  Returns the size the server acknowledged receiving, or null if the probe was lost. */
     fun mtuProbe(totalSize: Int): Int? {
@@ -112,5 +125,5 @@ class ProbeSession(
 
     override fun close() = socket.close()
 
-    data class EchoResult(val rttMs: Double, val observation: Observation?)
+    data class EchoResult(val rttMs: Double, val observation: Observation?, val seq: Int = 0)
 }