Mikhaila Peterson engagement report
@MikhailaFuller - 508K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 18, 2026.
Engagement
Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 1.8K interactions against 508K followers, an engagement rate of 0.344%. Posts are seen about 40K times each, and 4.40% of those impressions turn into an interaction. That is about 7.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 05:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 40% link out. The account's strongest tracked post pulled 42K interactions, about 24x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 5 original posts from a 30-day window, last computed on October 18, 2026.
Where this sits in the catalog
At 0.344%, Mikhaila Peterson sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 05:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 40% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 40% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 40% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 40% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 978 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Jul 26, 202624x their median
She just won the "British Citizen Award For Empowering Young Women" https://t.co/N12Q9MMx7N
- Jul 17, 20263.6x their median
38.5 weeks. So close (I hope). https://t.co/SoEUXNqI5n
- Sep 6, 20265.0x their median
My mom fell and broke her arm today. 6 hours in urgent care to get an x-ray. Now she has to wait A WEEK for surgery. Canada, this is your "free" healthcare system. If we were in the US she'd be getting surgery TONIGHT. I know this for a fact because I lived there. It is getting increasingly difficult to not utterly hate this country and every elbows up cocksucker in it.
- Oct 17, 20263.8x their median
Who's gonna tell vibe coders about... 1. SQL Injection 2. XSS 3. CSRF 4. CORS 5. SSRF 6. IDOR 7. Path Traversal 8. Mass Assignment 9. Clickjacking 10. Content Security Policy 11. Security Headers 12. Input Validation 13. Server-Side Authorization 14. Row-Level Security 15. Least Privilege 16. RBAC 17. Secrets Management 18. .env in .gitignore 19. API Key Rotation 20. Secret Scanning 21. Hashing vs Encryption 22. Password Salting 23. bcrypt & Argon2 24. JWT Expiry 25. Refresh Tokens 26. OAuth 2.0 27. OpenID Connect 28. Session Fixation 29. MFA 30. Brute Force Protection 31. Account Enumeration 32. Timing Attacks 33. File Upload Validation 34. Webhook Signature Verification 35. TLS Certificate Expiry 36. HSTS 37. Encryption at Rest 38. Dependency Vulnerabilities 39. Supply Chain Attacks 40. Threat Modeling 41. Indexes 42. EXPLAIN ANALYZE 43. N+1 Queries 44. Full Table Scans 45. Connection Pooling 46. Database Migrations 47. Down Migrations 48. Transactions 49. ACID 50. Isolation Levels 51. Deadlocks 52. Optimistic Locking 53. Pessimistic Locking 54. Normalization 55. Denormalization 56. Foreign Keys 57. Unique Constraints 58. Cascading Deletes 59. Soft Deletes 60. UUIDs vs Auto-Increment 61. Cursor-Based Pagination 62. Full-Text Search 63. Read Replicas 64. Replication Lag 65. Sharding 66. Partitioning 67. Hot Partitions 68. Postgres VACUUM 69. Materialized Views 70. Backups 71. Testing Your Restores 72. Point-in-Time Recovery 73. Change Data Capture 74. Outbox Pattern 75. ORM Lazy Loading 76. CAP Theorem 77. Eventual Consistency 78. Strong Consistency 79. Raft Consensus 80. Leader Election 81. Split Brain 82. Quorums 83. Clock Skew 84. Distributed Locks 85. Consistent Hashing 86. Bloom Filters 87. Two-Phase Commit 88. CQRS 89. Event Sourcing 90. Race Conditions 91. Backpressure 92. Load Shedding 93. Bulkheads 94. Jitter 95. Retry Storms 96. Cascading Failures 97. Thundering Herd 98. Cache Invalidation 99. Cache Hit Ratio 100. TTLs 101. Cache Warming 102. Write-Through vs Write-Back 103. Redis Eviction Policies 104. CDNs 105. Cache-Control Headers 106. ETags 107. Dead Letter Queues 108. Poison Messages 109. At-Least-Once Delivery 110. Exactly-Once Semantics 111. Message Ordering 112. Kafka Consumer Groups 113. Partition Keys 114. Background Jobs 115. Webhook Retries 116. DNS 117. DNS Propagation 118. HTTP Status Codes 119. HTTP Method Semantics 120. Keep-Alive 121. HTTP/2 122. WebSockets 123. Server-Sent Events 124. Long Polling 125. gRPC 126. Protocol Buffers 127. API Versioning 128. OpenAPI Specs 129. Backward Compatibility 130. Request Size Limits 131. Compression 132. Latency vs Throughput 133. Egress Fees 134. VPCs 135. Subnets 136. NAT Gateways 137. Firewalls 138. Security Groups 139. Service Mesh 140. Ingress Controllers 141. Health Checks 142. Liveness vs Readiness Probes 143. Graceful Shutdown 144. Connection Draining 145. Stateless Services 146. Failover 147. Multi-Region 148. Availability Zones 149. Single Points of Failure 150. Disaster Recovery 151. RTO & RPO 152. SLAs 153. SLOs 154. Error Budgets 155. Incident Response 156. On-Call 157. Runbooks 158. Postmortems 159. Chaos Engineering 160. Graceful Degradation 161. Autoscaling 162. Horizontal vs Vertical Scaling 163. Cold Starts 164. Capacity Planning 165. Load Testing 166. Memory Leaks 167. OOM Killer 168. Structured Logging 169. Log Levels 170. Log Rotation 171. Distributed Tracing 172. OpenTelemetry 173. Correlation IDs 174. Metrics Cardinality 175. p99 Latency 176. Alert Fatigue 177. Error Tracking 178. Profiling 179. Flame Graphs 180. Infrastructure as Code 181. Terraform State 182. GitOps 183. Blue-Green Deployments 184. Canary Releases 185. Rollbacks 186. Feature Flags 187. Environment Parity 188. Staging Environments 189. 12-Factor Apps 190. Multi-Stage Builds 191. Non-Root Containers 192. Image Scanning 193. Resource Requests & Limits 194. Pod Disruption Budgets 195. Semantic Versioning 196. Lockfiles 197. Reproducible Builds 198. Branch Protection
- Sep 15, 20263.8x their median
Good morning. From Frankie Jordan https://t.co/V0U27YOnaX
- Aug 7, 20263.0x their median
Mamdani is ‘thin-skinned and hyper-sensitive’ in private despite unflappable social media image: political sources. Read today's cover here: https://t.co/OftXM1F0kH https://t.co/36j4uyCqDi
- Oct 9, 20262.7x their median
I just love him so much. https://t.co/oNqvXkWn5G
- Aug 21, 20262.4x their median
First time out to a restaurant in (seriously) 5 months. https://t.co/s4T2M1f5Aa
- Jul 15, 2026
Just noticed @jordanbpeterson first lecture on the psychological significance of the Bible has 14m views. Awesome. https://t.co/cwIQKX5SaJ
- Jul 16, 2026
Canada now has has wildfires around the same time every summer The American northeast is covered in smoke How is this not reckless mismanagement?
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 1.8K interactions against 508K followers, an engagement rate of 0.344%. Posts are seen about 40K times each, and 4.40% of those impressions turn into an interaction. That is about 7.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 05:00 UTC, and Friday is the busiest day of the week. Of the 5 posts sampled, 40% carry an image or video and 40% link out. The account's strongest tracked post pulled 42K interactions, about 24x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Mikhaila Peterson's engagement rate on X?
- Mikhaila Peterson (@MikhailaFuller) has an engagement rate of 0.344%, based on the median interactions across 5 original posts from the last 30 days against 508,283 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.344%, Mikhaila Peterson sits above the 50th percentile of the 205,374 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @MikhailaFuller have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @MikhailaFuller post?
- Most posts go out around 05:00 UTC, and Friday is its busiest day, at roughly 1.17 posts per day across the measured window.