About Distortion Index
The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.
Low Distortion (0.07):
Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91):
Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29
Low Distortion (Green) - Main name dominates
0.3-0.69
Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0
High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:
Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.
Rank Change Indicators:
📈
Rank improved (moved up)
📉
Rank declined (moved down)
➡️
Rank unchanged
Advanced Pronunciation Algorithm
We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.
This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.
Intelligent phonetic analysis and grouping
Automatic typo correction and misspelling detection
Accurate pronunciation-based name categorization
Copyright Protected: This pronunciation algorithm and name grouping methodology are protected by copyright laws. View usage terms and restrictions
Boy Names
| Ranking | Name | Distortion Index | Count |
|---|---|---|---|
|
1
➡️
(Org: 1)
|
0.01 | 28,115 | |
|
2
➡️
(Org: 2)
|
0.04 | 26,444 | |
|
3
➡️
(Org: 3)
|
0.01 | 24,370 | |
|
4
➡️
(Org: 4)
|
0.05 | 23,988 | |
|
5
📈
(Org: 13)
|
0.22 | 23,599 | |
|
6
📉
(Org: 5)
|
0.01 | 22,323 | |
|
7
📈
(Org: 20)
|
0.33 | 21,735 | |
|
8
📉
(Org: 6)
|
- | 21,714 | |
|
9
📈
(Org: 10)
|
0.08 | 21,347 | |
|
10
📉
(Org: 7)
|
0.01 | 21,176 | |
|
11
📉
(Org: 9)
|
0.01 | 20,277 | |
|
12
📉
(Org: 8)
|
0 | 20,259 | |
|
13
📉
(Org: 11)
|
0 | 19,620 | |
|
14
📉
(Org: 12)
|
0.01 | 19,601 | |
|
15
📉
(Org: 14)
|
- | 18,407 | |
|
16
📉
(Org: 15)
|
0 | 17,968 | |
|
17
📉
(Org: 16)
|
0.01 | 17,700 | |
|
18
📈
(Org: 21)
|
0.18 | 17,608 | |
|
19
📉
(Org: 18)
|
0.04 | 17,175 | |
|
20
📉
(Org: 19)
|
0.13 | 16,989 | |
|
21
📉
(Org: 17)
|
0 | 16,520 | |
|
22
📈
(Org: 26)
|
0.14 | 15,923 | |
|
23
📈
(Org: 59)
|
0.51 | 15,102 | |
|
24
📉
(Org: 22)
|
0.05 | 14,863 | |
|
25
📈
(Org: 33)
|
0.23 | 14,752 | |
|
26
📈
(Org: 62)
|
0.53 | 14,589 | |
|
27
📉
(Org: 23)
|
0.01 | 14,248 | |
|
28
📈
(Org: 38)
|
0.29 | 14,153 | |
|
29
📉
(Org: 25)
|
0.01 | 13,945 | |
|
30
📉
(Org: 24)
|
- | 13,925 | |
|
31
📉
(Org: 27)
|
0.01 | 13,223 | |
|
32
📉
(Org: 28)
|
- | 12,187 | |
|
33
📉
(Org: 30)
|
0.02 | 12,119 | |
|
34
📉
(Org: 29)
|
0.01 | 11,973 | |
|
35
📉
(Org: 31)
|
0.02 | 11,920 | |
|
36
📈
(Org: 61)
|
0.39 | 11,780 | |
|
37
📉
(Org: 32)
|
0.02 | 11,746 | |
|
38
📉
(Org: 34)
|
0.02 | 11,483 | |
|
39
📉
(Org: 37)
|
0.05 | 11,032 | |
|
40
📉
(Org: 35)
|
0.02 | 10,911 | |
|
41
📈
(Org: 48)
|
0.17 | 10,832 | |
|
42
📉
(Org: 36)
|
- | 10,681 | |
|
43
📈
(Org: 104)
|
0.61 | 10,623 | |
|
44
📈
(Org: 46)
|
0.11 | 10,290 | |
|
45
📈
(Org: 47)
|
0.11 | 10,226 | |
|
46
📉
(Org: 43)
|
0.06 | 10,215 | |
|
47
📉
(Org: 45)
|
0.08 | 10,071 | |
|
48
📈
(Org: 50)
|
0.12 | 10,048 | |
|
49
📉
(Org: 39)
|
0 | 10,007 | |
|
50
📈
(Org: 64)
|
0.32 | 9,904 | |
|
51
📉
(Org: 42)
|
0.03 | 9,896 | |
|
52
📉
(Org: 40)
|
- | 9,824 | |
|
53
📉
(Org: 41)
|
0.02 | 9,751 | |
|
54
📉
(Org: 44)
|
0 | 9,528 | |
|
55
📈
(Org: 60)
|
0.24 | 9,403 | |
|
56
📉
(Org: 49)
|
- | 8,902 | |
|
57
📉
(Org: 51)
|
0.03 | 8,852 | |
|
58
📉
(Org: 53)
|
0.05 | 8,847 | |
|
59
📈
(Org: 107)
|
0.54 | 8,769 | |
|
60
📉
(Org: 52)
|
0 | 8,639 | |
|
61
📈
(Org: 85)
|
0.4 | 8,486 | |
|
62
📈
(Org: 78)
|
0.35 | 8,215 | |
|
63
📉
(Org: 54)
|
- | 8,131 | |
|
64
📈
(Org: 66)
|
0.15 | 7,882 | |
|
65
📉
(Org: 55)
|
0 | 7,863 | |
|
66
📉
(Org: 57)
|
0.04 | 7,832 | |
|
67
📉
(Org: 56)
|
- | 7,652 | |
|
68
📉
(Org: 58)
|
0 | 7,490 | |
|
69
➡️
(Org: 69)
|
0.07 | 7,025 | |
|
70
📉
(Org: 63)
|
0 | 6,843 | |
|
71
📈
(Org: 91)
|
0.29 | 6,833 | |
|
72
📉
(Org: 67)
|
- | 6,707 | |
|
73
📉
(Org: 70)
|
- | 6,471 | |
|
74
📈
(Org: 86)
|
0.21 | 6,392 | |
|
75
📉
(Org: 71)
|
- | 6,260 | |
|
76
📉
(Org: 72)
|
- | 6,140 | |
|
77
📉
(Org: 75)
|
0.07 | 6,096 | |
|
78
📈
(Org: 84)
|
0.15 | 6,035 | |
|
79
📉
(Org: 73)
|
0 | 5,887 | |
|
80
📉
(Org: 74)
|
0.02 | 5,789 | |
|
81
📈
(Org: 87)
|
0.1 | 5,559 | |
|
82
📉
(Org: 81)
|
0.06 | 5,498 | |
|
83
📈
(Org: 94)
|
0.13 | 5,497 | |
|
84
📉
(Org: 76)
|
0 | 5,442 | |
|
85
📉
(Org: 82)
|
0.04 | 5,385 | |
|
86
📉
(Org: 77)
|
- | 5,381 | |
|
87
📉
(Org: 79)
|
- | 5,233 | |
|
88
📉
(Org: 80)
|
- | 5,188 | |
|
89
➡️
(Org: 89)
|
0.03 | 5,152 | |
|
90
➡️
(Org: 90)
|
0.01 | 5,026 | |
|
91
📉
(Org: 88)
|
0 | 5,023 | |
|
92
📈
(Org: 93)
|
0.01 | 4,872 | |
|
93
📉
(Org: 92)
|
- | 4,848 | |
|
94
📈
(Org: 101)
|
0.08 | 4,785 | |
|
95
➡️
(Org: 95)
|
0.01 | 4,725 | |
|
96
📈
(Org: 113)
|
0.2 | 4,686 | |
|
97
➡️
(Org: 97)
|
0.01 | 4,564 | |
|
98
📉
(Org: 96)
|
0.01 | 4,556 | |
|
99
📈
(Org: 106)
|
0.09 | 4,537 | |
|
100
📈
(Org: 160)
|
0.44 | 4,534 |
⚠️ Copyright & Usage Notice
COPYRIGHT PROTECTED. The baby name grouping data, pronunciation-based categorization, and name relationship analysis presented on this page are protected by copyright laws. This includes all derived name groups, phonetic associations, and algorithmic name clustering results.
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